Genética de españoles e hispanoamericanos

[gixajo]

Target: Alejandro_scaled
Distance: 3.2153% / 0.03215319 | ADC: 0.5x
99.0 Ibérico_Melancólico
1.0 Moruno

Target: Alejandro_scaled
Distance: 3.0785% / 0.03078460 | ADC: 0.25x
85.8 Ibérico_Melancólico
6.6 Ibérico_Saleroso
3.6 Moruno
2.8 Guiri_ColorMedio
1.2 Malacatones

Target: Alejandro_scaled
Distance: 3.0158% / 0.03015793
42.4 Ibérico_Melancólico
25.2 Ibérico_Saleroso
22.6 Guiri_ColorMedio
8.4 Moruno
1.4 Malacatones

Moruno nivel dios, vamos.

Nah, tampoco es muy grave, pero con el 1X valdría y es justo el que te falta.

Cómo experto calculador, qué te parece mi primer intento?

las distancias no están tan mal...

[Pedro Ruben]

Mi primer intento de calculadora para G25 (Scaled), especial para peninsulares:

Sed indulgentes!!!


Ibérico_Saleroso,0.1096493,0.1496213,0.0349467,-0.0047373,0.0433927,-0.004183,-0.00094,0.0002307,0.0188843,0.0302513,-0.0033563,0.0060943,-0.0142217,-0.0155517,0.006831,-0.0045083,-0.0028683,-0.0005913,-0.0023463,-0.0044603,0.0038267,-0.001113,-0.0011503,-0.0041367,-0.0003593
Ibérico_LevantaPiedras,0.128241,0.1516523,0.056316 3,0.008075,0.052112,0.0024173,0.000235,0.002923,0. 0277467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672
Ibérico_MedioGuiri,0.1270391,0.1448823,0.048879,0. 0179086,0.0433756,0.0034164,0.0005222,0.0038909,0. 0148564,0.0235894,-0.0032883,0.0065816,-0.0150436,-0.0094578,0.010737,0.0025671,-0.0037088,0.0024846,0.0014247,4.52e-05,0.0036706,0.0024456,-0.0025505,0.0017673,0.0004224
Ibérico_Mesetario,0.1077523,0.1438667,0.0404773,-0.0021533,0.0438027,0.0018593,-0.0017233,0.004615,0.0284287,0.0292183,-0.0023277,0.007843,-0.012091,-0.012019,0.01226,-0.006541,-0.0067797,-0.0017313,-0.004525,-0.0022927,0.000291,-0.0009067,0.0013147,-0.0025703,-0.002754
Ibérico_Oscuro,0.081953,0.1452205,0.0324325,-0.015827,0.042777,-0.009901,-0.00329,0.0043845,0.0302695,0.030069,-0.0003245,0.0047205,-0.0110755,-0.0139,0.016965,-0.0118665,-0.009388,-0.0055745,-0.0098675,-0.0016885,-0.000749,-0.0072335,0.0002465,-0.0054825,0.0017365
Ibérico_Melancólico,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053
Moruno,-0.06567898,0.13356888,-0.0092498,-0.0762153,0.02251074,-0.03409864,-0.028502,0.00764518,0.06538102,0.02575472,0.007446 12,-0.00769706,0.02457482,-0.01388018,0.01651156,-0.01250064,-0.00322548,-0.02020836,-0.04102588,0.0098647,-0.01315984,-0.03473298,0.02297862,-0.00255752,0.00493804
Chinorri,0.021341900,-0.421613600,-0.007793850,-0.047507900,0.048598850,0.023124850,0.003446650,0. 001865350,-0.003187150,0.004464650,-0.058229900,-0.007543600,0.007296650,-0.001995600,-0.007114000,-0.000762500,0.005389150,-0.001213900,-0.007437250,-0.001427650,0.007247850,0.020175900,0.007939100,0. 001827500,0.021145600
Malacatones,0.046189200,-0.057078220,-0.144754480,0.096559380,-0.069009980,0.052907800,0.000897460,0.009768740,0. 031643920,0.018810740,-0.004180700,-0.000887640,0.000537620,0.000019720,-0.000789020,0.002519640,0.002783900,0.000297180,0. 000087180,-0.000482300,0.002426980,-0.001045500,-0.000854920,-0.001358380,-0.000188520
Panchito,0.054656733,-0.296815100,0.112245567,0.091282867,-0.103107833,-0.016778400,-0.270709867,-0.324674300,-0.011157233,-0.014955500,-0.004025700,-0.00414210,0.001292533,0.018729767,-0.007696000,0.001877733,0.005272633,0.000012033,0. 001084667,-0.000565800,-0.002672733,0.005796400,0.000120900,-0.000687333,-0.000742400
Guiri_BastanteClaro,0.132282600,0.135756333,0.0611 61633,0.046106467,0.039345667,0.017600733,0.003287 900,0.005447133,0.004327533,0.003295600,-0.005661400,0.005521833,-0.012989233,-0.012292100,0.022989067,0.004551400,-0.010343533,0.002445067,0.002128700,0.001599100,0. 004794667,0.002794767,-0.000341533,0.013182367,0.000368333
Guiri_Claro,0.130459417,0.134268700,0.061847367,0. 044914783,0.039894650,0.017420117,0.005004867,0.00 6758567,0.004519683,0.002044850,-0.005101800,0.004013867,-0.008432800,-0.007353583,0.016311117,0.004172450,-0.007564800,0.002191483,0.003187167,0.002457033,0. 005498650,0.002493950,-0.000708900,0.012076550,0.000242417
Guiri_ColorMedio,0.127173900,0.142229767,0.0498758 33,0.021443700,0.040900233,0.007210567,0.002080200 ,0.004740033,0.011103400,0.017480767,-0.004709500,0.005990733,-0.012464633,-0.008004033,0.011022367,0.003898800,-0.003475667,0.003195900,0.002458633,-0.000549533,0.002878400,0.002392167,-0.001701633,0.006681400,-0.000599000
Negroide,-0.580417820,0.070006620,0.017992280,0.007075060,0. 002945740,0.005229880,-0.017271800,0.023208900,-0.023864760,0.023601980,0.003959440,-0.004098100,0.009881020,-0.000347880,0.004409280,-0.004457680,0.002281660,0.013838240,-0.010843140,0.002367500,-0.002945580,-0.004106680,0.003299620,0.000528420,-0.000030680

Interesante :D! Qué es Ibérico Oscuro?

Target: Pedro_scaled
Distance: 1.5631% / 0.01563088
34.4 Ibérico_Mesetario
23.6 Ibérico_Oscuro
18.8 Ibérico_Saleroso
15.8 Guiri_Claro
5.0 Moruno
1.4 Negroide
1.0 Panchito

Target: Pedro_scaled
Distance: 1.6483% / 0.01648266 | ADC: 0.25x
44.6 Ibérico_Oscuro
41.0 Ibérico_Mesetario
10.4 Guiri_Claro
1.8 Ibérico_Saleroso
1.4 Negroide
0.8 Panchito

[Defcon2]

Mi primer intento de calculadora para G25 (Scaled), especial para peninsulares:

Sed indulgentes!!!


Ibérico_Saleroso,0.1096493,0.1496213,0.0349467,-0.0047373,0.0433927,-0.004183,-0.00094,0.0002307,0.0188843,0.0302513,-0.0033563,0.0060943,-0.0142217,-0.0155517,0.006831,-0.0045083,-0.0028683,-0.0005913,-0.0023463,-0.0044603,0.0038267,-0.001113,-0.0011503,-0.0041367,-0.0003593
Ibérico_LevantaPiedras,0.128241,0.1516523,0.056316 3,0.008075,0.052112,0.0024173,0.000235,0.002923,0. 0277467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672
Ibérico_MedioGuiri,0.1270391,0.1448823,0.048879,0. 0179086,0.0433756,0.0034164,0.0005222,0.0038909,0. 0148564,0.0235894,-0.0032883,0.0065816,-0.0150436,-0.0094578,0.010737,0.0025671,-0.0037088,0.0024846,0.0014247,4.52e-05,0.0036706,0.0024456,-0.0025505,0.0017673,0.0004224
Ibérico_Mesetario,0.1077523,0.1438667,0.0404773,-0.0021533,0.0438027,0.0018593,-0.0017233,0.004615,0.0284287,0.0292183,-0.0023277,0.007843,-0.012091,-0.012019,0.01226,-0.006541,-0.0067797,-0.0017313,-0.004525,-0.0022927,0.000291,-0.0009067,0.0013147,-0.0025703,-0.002754
Ibérico_Oscuro,0.081953,0.1452205,0.0324325,-0.015827,0.042777,-0.009901,-0.00329,0.0043845,0.0302695,0.030069,-0.0003245,0.0047205,-0.0110755,-0.0139,0.016965,-0.0118665,-0.009388,-0.0055745,-0.0098675,-0.0016885,-0.000749,-0.0072335,0.0002465,-0.0054825,0.0017365
Ibérico_Melancólico,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053
Moruno,-0.06567898,0.13356888,-0.0092498,-0.0762153,0.02251074,-0.03409864,-0.028502,0.00764518,0.06538102,0.02575472,0.007446 12,-0.00769706,0.02457482,-0.01388018,0.01651156,-0.01250064,-0.00322548,-0.02020836,-0.04102588,0.0098647,-0.01315984,-0.03473298,0.02297862,-0.00255752,0.00493804
Chinorri,0.021341900,-0.421613600,-0.007793850,-0.047507900,0.048598850,0.023124850,0.003446650,0. 001865350,-0.003187150,0.004464650,-0.058229900,-0.007543600,0.007296650,-0.001995600,-0.007114000,-0.000762500,0.005389150,-0.001213900,-0.007437250,-0.001427650,0.007247850,0.020175900,0.007939100,0. 001827500,0.021145600
Malacatones,0.046189200,-0.057078220,-0.144754480,0.096559380,-0.069009980,0.052907800,0.000897460,0.009768740,0. 031643920,0.018810740,-0.004180700,-0.000887640,0.000537620,0.000019720,-0.000789020,0.002519640,0.002783900,0.000297180,0. 000087180,-0.000482300,0.002426980,-0.001045500,-0.000854920,-0.001358380,-0.000188520
Panchito,0.054656733,-0.296815100,0.112245567,0.091282867,-0.103107833,-0.016778400,-0.270709867,-0.324674300,-0.011157233,-0.014955500,-0.004025700,-0.00414210,0.001292533,0.018729767,-0.007696000,0.001877733,0.005272633,0.000012033,0. 001084667,-0.000565800,-0.002672733,0.005796400,0.000120900,-0.000687333,-0.000742400
Guiri_BastanteClaro,0.132282600,0.135756333,0.0611 61633,0.046106467,0.039345667,0.017600733,0.003287 900,0.005447133,0.004327533,0.003295600,-0.005661400,0.005521833,-0.012989233,-0.012292100,0.022989067,0.004551400,-0.010343533,0.002445067,0.002128700,0.001599100,0. 004794667,0.002794767,-0.000341533,0.013182367,0.000368333
Guiri_Claro,0.130459417,0.134268700,0.061847367,0. 044914783,0.039894650,0.017420117,0.005004867,0.00 6758567,0.004519683,0.002044850,-0.005101800,0.004013867,-0.008432800,-0.007353583,0.016311117,0.004172450,-0.007564800,0.002191483,0.003187167,0.002457033,0. 005498650,0.002493950,-0.000708900,0.012076550,0.000242417
Guiri_ColorMedio,0.127173900,0.142229767,0.0498758 33,0.021443700,0.040900233,0.007210567,0.002080200 ,0.004740033,0.011103400,0.017480767,-0.004709500,0.005990733,-0.012464633,-0.008004033,0.011022367,0.003898800,-0.003475667,0.003195900,0.002458633,-0.000549533,0.002878400,0.002392167,-0.001701633,0.006681400,-0.000599000
Negroide,-0.580417820,0.070006620,0.017992280,0.007075060,0. 002945740,0.005229880,-0.017271800,0.023208900,-0.023864760,0.023601980,0.003959440,-0.004098100,0.009881020,-0.000347880,0.004409280,-0.004457680,0.002281660,0.013838240,-0.010843140,0.002367500,-0.002945580,-0.004106680,0.003299620,0.000528420,-0.000030680

Sin penalización es más divertido.

Target: Juan_scaled
Distance: 2.4728% / 0.02472764
47.8 Ibérico_Saleroso
28.8 Ibérico_Mesetario
14.8 Ibérico_LevantaPiedras
3.2 Ibérico_Oscuro
2.4 Malacatones
1.2 Moruno
1.2 Negroide
0.6 Chinorri

Target: Juan_scaled
Distance: 2.5220% / 0.02522019 | ADC: 0.25x
48.0 Ibérico_Mesetario
41.4 Ibérico_Saleroso
8.0 Ibérico_Oscuro
1.6 Malacatones
0.6 Negroide
0.4 Chinorri

Target: Juan_scaled
Distance: 2.6771% / 0.02677070 | ADC: 0.5x
55.4 Ibérico_Mesetario
30.4 Ibérico_Saleroso
13.4 Ibérico_Oscuro
0.8 Malacatones

[gixajo]

Interesante :D! Qué es Ibérico Oscuro?



Ibérico oscuro es ...Canario

[gixajo]

Sin penalización es más divertido.



The ha salido Malacatones!!!

[Pedro Ruben]

Ibérico oscuro es ...Canario

Jajajaja si, ya me parecia :p

[mitalit]

Target: Xabier_scaled
Distance: 2.3540% / 0.02354010
54.8 Ibérico_Melancólico
21.2 Guiri_ColorMedio
9.6 Ibérico_MedioGuiri
8.2 Ibérico_Saleroso
5.0 Guiri_BastanteClaro
1.2 Chinorri


Target: Xabier_scaled
Distance: 2.3620% / 0.02361964 | ADC: 0.25x
60.6 Ibérico_Melancólico
29.6 Guiri_ColorMedio
9.0 Ibérico_MedioGuiri
0.8 Chinorri

Target: Xabier_scaled
Distance: 2.5038% / 0.02503788 | ADC: 1x
65.2 Ibérico_Melancólico
34.8 Ibérico_MedioGuiri

[mitalit]

Iberico melancolico es portugues?
Guiri color medio es frances?
Iberico medio guiri balear?
Guiri bastante claro aleman?
Chinorri de Albacete?

[RyoHazuki]

Mi primer intento de calculadora para G25 (Scaled), especial para peninsulares:

Sed indulgentes!!!


Ibérico_Saleroso,0.1096493,0.1496213,0.0349467,-0.0047373,0.0433927,-0.004183,-0.00094,0.0002307,0.0188843,0.0302513,-0.0033563,0.0060943,-0.0142217,-0.0155517,0.006831,-0.0045083,-0.0028683,-0.0005913,-0.0023463,-0.0044603,0.0038267,-0.001113,-0.0011503,-0.0041367,-0.0003593
Ibérico_LevantaPiedras,0.128241,0.1516523,0.056316 3,0.008075,0.052112,0.0024173,0.000235,0.002923,0. 0277467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672
Ibérico_MedioGuiri,0.1270391,0.1448823,0.048879,0. 0179086,0.0433756,0.0034164,0.0005222,0.0038909,0. 0148564,0.0235894,-0.0032883,0.0065816,-0.0150436,-0.0094578,0.010737,0.0025671,-0.0037088,0.0024846,0.0014247,4.52e-05,0.0036706,0.0024456,-0.0025505,0.0017673,0.0004224
Ibérico_Mesetario,0.1077523,0.1438667,0.0404773,-0.0021533,0.0438027,0.0018593,-0.0017233,0.004615,0.0284287,0.0292183,-0.0023277,0.007843,-0.012091,-0.012019,0.01226,-0.006541,-0.0067797,-0.0017313,-0.004525,-0.0022927,0.000291,-0.0009067,0.0013147,-0.0025703,-0.002754
Ibérico_Oscuro,0.081953,0.1452205,0.0324325,-0.015827,0.042777,-0.009901,-0.00329,0.0043845,0.0302695,0.030069,-0.0003245,0.0047205,-0.0110755,-0.0139,0.016965,-0.0118665,-0.009388,-0.0055745,-0.0098675,-0.0016885,-0.000749,-0.0072335,0.0002465,-0.0054825,0.0017365
Ibérico_Melancólico,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053
Moruno,-0.06567898,0.13356888,-0.0092498,-0.0762153,0.02251074,-0.03409864,-0.028502,0.00764518,0.06538102,0.02575472,0.007446 12,-0.00769706,0.02457482,-0.01388018,0.01651156,-0.01250064,-0.00322548,-0.02020836,-0.04102588,0.0098647,-0.01315984,-0.03473298,0.02297862,-0.00255752,0.00493804
Chinorri,0.021341900,-0.421613600,-0.007793850,-0.047507900,0.048598850,0.023124850,0.003446650,0. 001865350,-0.003187150,0.004464650,-0.058229900,-0.007543600,0.007296650,-0.001995600,-0.007114000,-0.000762500,0.005389150,-0.001213900,-0.007437250,-0.001427650,0.007247850,0.020175900,0.007939100,0. 001827500,0.021145600
Malacatones,0.046189200,-0.057078220,-0.144754480,0.096559380,-0.069009980,0.052907800,0.000897460,0.009768740,0. 031643920,0.018810740,-0.004180700,-0.000887640,0.000537620,0.000019720,-0.000789020,0.002519640,0.002783900,0.000297180,0. 000087180,-0.000482300,0.002426980,-0.001045500,-0.000854920,-0.001358380,-0.000188520
Panchito,0.054656733,-0.296815100,0.112245567,0.091282867,-0.103107833,-0.016778400,-0.270709867,-0.324674300,-0.011157233,-0.014955500,-0.004025700,-0.00414210,0.001292533,0.018729767,-0.007696000,0.001877733,0.005272633,0.000012033,0. 001084667,-0.000565800,-0.002672733,0.005796400,0.000120900,-0.000687333,-0.000742400
Guiri_BastanteClaro,0.132282600,0.135756333,0.0611 61633,0.046106467,0.039345667,0.017600733,0.003287 900,0.005447133,0.004327533,0.003295600,-0.005661400,0.005521833,-0.012989233,-0.012292100,0.022989067,0.004551400,-0.010343533,0.002445067,0.002128700,0.001599100,0. 004794667,0.002794767,-0.000341533,0.013182367,0.000368333
Guiri_Claro,0.130459417,0.134268700,0.061847367,0. 044914783,0.039894650,0.017420117,0.005004867,0.00 6758567,0.004519683,0.002044850,-0.005101800,0.004013867,-0.008432800,-0.007353583,0.016311117,0.004172450,-0.007564800,0.002191483,0.003187167,0.002457033,0. 005498650,0.002493950,-0.000708900,0.012076550,0.000242417
Guiri_ColorMedio,0.127173900,0.142229767,0.0498758 33,0.021443700,0.040900233,0.007210567,0.002080200 ,0.004740033,0.011103400,0.017480767,-0.004709500,0.005990733,-0.012464633,-0.008004033,0.011022367,0.003898800,-0.003475667,0.003195900,0.002458633,-0.000549533,0.002878400,0.002392167,-0.001701633,0.006681400,-0.000599000
Negroide,-0.580417820,0.070006620,0.017992280,0.007075060,0. 002945740,0.005229880,-0.017271800,0.023208900,-0.023864760,0.023601980,0.003959440,-0.004098100,0.009881020,-0.000347880,0.004409280,-0.004457680,0.002281660,0.013838240,-0.010843140,0.002367500,-0.002945580,-0.004106680,0.003299620,0.000528420,-0.000030680

If I use 1x it's too distant ;_;


Distance: 2.9799% / 0.02979891
75.8 Guiri_BastanteClaro
10.6 Guiri_Claro
8.0 Ibérico_LevantaPiedras
4.6 Ibérico_Oscuro
1.0 Negroide


Thank you

[gixajo]

Iberico melancolico es portugues?
Guiri color medio es frances?
Iberico medio guiri balear?
Guiri bastante claro aleman?
Chinorri de Albacete?

Preguntas demasiado!!!

El Ibérico melancólico es portugués tirando para arriba, por supuesto.

Chinorri es asiático indeterminado.

El Ibérico medio guiri eso un 1/2 mesetario+2 guiris diferentesa mi elección.

los diferentes tipos de guiri eran de +oscuro a +claro, un Francés intermedio, un Alemán y un islas británicas intermedio

No me atrevo aún a tocar mucho cada coordenada hasta que no sepa seguro a qué corresponde cada una.

[PT Tagus]

Me gustaron los nombres dados a las muestras, muy creativos y divertidos. :rofl:

Target: PT_Tagus_scaled
Distance: 1.8546% / 0.01854561
54.4 Ibérico_Saleroso
28.0 Ibérico_Mesetario
9.8 Guiri_ColorMedio
5.8 Moruno
2.0 Negroide


Target: PT_Tagus_scaled
Distance: 1.9484% / 0.01948426 | ADC: 0.25x
46.2 Ibérico_Saleroso
28.6 Ibérico_Mesetario
20.8 Ibérico_Oscuro
2.2 Ibérico_Melancólico
2.0 Negroide
0.2 Moruno

[PT Tagus]

The ha salido Malacatones!!!

¿gitano? :lol:

[gixajo]

Me gustaron los nombres dados a las muestras, muy creativos y divertidos. :rofl:

[

Solo era por innovar un poco, creo que nadie se puede sentir ofendido por ninguno, no?

[gixajo]

¿gitano? :lol:

Más o menos, esa era la idea.

[PT Tagus]

Solo era por innovar un poco, creo que nadie se puede sentir ofendido por ninguno, no?

Por supuesto, no me ofende.
Debo suponer que el ibérico melancólico es portugués, ¿verdad? :lol:

[gixajo]

Por supuesto, no me ofende.
Debo suponer que el ibérico melancólico es portugués, ¿verdad? :lol:

Ese es el más obvio de todos, portugués tirando para Galicia, sí.

[Defcon2]

Más o menos, esa era la idea.

No encuentro de donde es esa coordenada, ya estás haciendo experimentos raros. Con melocotones por supuesto.

[gixajo]

A ver, he tardado 10 minutos , tampoco se le pueden pedir peras al olmo...

Iré añadiendo más poblaciones, es solo una prueba más que nada.

Lo siento, pero tengo demasiado tiempo libre...:picard1:

Tampoco es tan horrible, no? Necesito opiniones sinceras.

[gixajo]

No encuentro de donde es esa coordenada, ya estás haciendo experimentos raros. Con melocotones por supuesto.

La idea es hacer medias de coordenadas, y no de la misma source. Es básicamente de la India, más tirando al suroeste.

Estas no están necesariamente cambiadas respecto a las originales.

[mitalit]

A mi me ha gustado, pero pondría cosas mas ofensivas. Que hagan daño de verdad jajaja

[gixajo]

A mi me ha gustado, pero pondría cosas mas ofensivas. Que hagan daño de verdad jajaja

Haz tú, elige poblaciones cambias el nombre y las pones.

[PT Tagus]

A mi me ha gustado, pero pondría cosas mas ofensivas. Que hagan daño de verdad jajaja

:rofl:

[mitalit]

Haz tú, elige poblaciones cambias el nombre y las pones.

luego miro jaja

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 1.7911% / 0.01791143
30.8 Ibérico_Oscuro
30.2 Ibérico_Saleroso
19.6 Ibérico_Mesetario
16.0 Ibérico_LevantaPiedras
2.0 Malacatones
1.2 Guiri_ColorMedio
0.2 Guiri_Claro

Target: Viriato_scaled
Distance: 1.8282% / 0.01828158 | ADC: 0.25x
45.2 Ibérico_Mesetario
30.4 Ibérico_Saleroso
20.2 Ibérico_Oscuro
3.4 Ibérico_LevantaPiedras
0.8 Malacatones

Target: Viriato_scaled
Distance: 1.8865% / 0.01886501 | ADC: 0.5x
58.4 Ibérico_Mesetario
27.2 Ibérico_Saleroso
14.4 Ibérico_Oscuro

Target: Viriato_scaled
Distance: 2.0266% / 0.02026629 | ADC: 1x
81.8 Ibérico_Mesetario
18.2 Ibérico_Saleroso

Target: Viriato_scaled
Distance: 2.0986% / 0.02098579 | ADC: 2x
100.0 Ibérico_Mesetario

[Brás Garcia de Mascarenhas]

No tengo puto idea de lo que significan.

[gixajo]

Target: Viriato_scaled


Habrá que retocar el Ibérico melancólico y que esté más compensado porque todos los portugueses me estáis saliendo canarios en la menor distancia, o poner un Ibérico melancólico más tirando hacia el Algarve y otro más centrado.

[gixajo]

................

[Brás Garcia de Mascarenhas]

Habrá que retocar el Ibérico melancólico y que esté más compensado porque todos los portugueses me estáis saliendo Canarios en la menor distancia, o poner un Ibérico melancólico más tirando hacia el Algarve y otro más centrado.

El ibérico oscuro no llegó primero en la distancia. Ibérico Mesetario asumo que es Castilla y León? Usualmente es la población con la que estoy más cerca.

Distance to: Viriato_scaled
0.02098579 Ibérico_Mesetario
0.02339796 Ibérico_Saleroso
0.02367662 Ibérico_Melancólico
0.03392960 Ibérico_Oscuro
0.04521597 Ibérico_MedioGuiri
0.04590972 Ibérico_LevantaPiedras
0.05137919 Guiri_ColorMedio
0.08097953 Guiri_Claro
0.08227905 Guiri_BastanteClaro
0.21352491 Moruno
0.32045698 Malacatones
0.58198099 Chinorri
0.64707955 Panchito
0.69490023 Negroide

[gixajo]

No tengo puto idea de lo que significan.

30.8 Ibérico_Oscuro= Islas Canarias
30.2 Ibérico_Saleroso= Andalucía
19.6 Ibérico_Mesetario=Castilla
16.0 Ibérico_LevantaPiedras=País Vasco
2.0 Malacatones= Gitano/Sur India
1.2 Guiri_ColorMedio=centroeuropa
0.2 Guiri_Claro=Norte Europa

[gixajo]

Bueno más o menos sería esto, ahora dudo de algún guiri exactamente pero algo así:


Ibérico_Mesetario= Castilla
Ibérico_Saleroso=Andalucía
Ibérico_Melancólico=Norte Portugal/Galicia
Ibérico_Oscuro= islas Canarias
Ibérico_MedioGuiri=Sur de Francia/Aragón
Ibérico_LevantaPiedras=vasco
Guiri_ColorMedio=centroeuropa
Guiri_Claro=SIlas Británicas/Escandinavia
Guiri_BastanteClaro=Norte de Europa
Moruno=Norte de África
Malacatones= Sur India/Gitano
Chinorri=Asia
Panchito=Amerindio América central
Negroide=África Ecuatorial

[Rocinante]

Nah, tampoco es muy grave, pero con el 1X valdría y es justo el que te falta.

Cómo experto calculador, qué te parece mi primer intento?

las distancias no están tan mal...

Hombre me parece demasiado genial lo que acabas de hacer la verdad, hiciste una calculadora que gusto, cumplio con la intencion principal que es pasar un rato riendonos, ya se que al menos Txinorri no soy.

[Gallop]

Target: Gallop_scaled
Distance: 1.9221% / 0.01922121
59.6 Ibérico_Mesetario
18.6 Ibérico_Saleroso
13.6 Ibérico_LevantaPiedras
4.2 Ibérico_Oscuro
1.8 Ibérico_Melancólico
1.2 Ibérico_MedioGuiri
0.6 Guiri_BastanteClaro
0.4 Negroide

Distance to: Gallop_scaled
0.02008536 Ibérico_Mesetario
0.02312202 Ibérico_Melancólico
0.02436280 Ibérico_Saleroso
0.03951440 Ibérico_MedioGuiri
0.04019499 Ibérico_LevantaPiedras
0.04063954 Ibérico_Oscuro
0.04700633 Guiri_ColorMedio
0.07631016 Guiri_Claro
0.07686428 Guiri_BastanteClaro
0.22070373 Moruno
0.32651278 Malacatones
0.58452681 Chinorri
0.64921381 Panchito
0.69700077 Negroide

[Rocinante]

Miren que curiosos estos españoles, estan demasiado outliers

Target: Spanish_Galicia:GAL20
Distance: 4.1473% / 0.04147269
48.0 Anatolia_Barcin_N
32.6 Yamnaya_RUS_Samara
10.2 BEL_Loschbour
8.6 Levant_Natufian
0.4 MAR_Taforalt
0.2 MWI_Hora_9000BP

Target: Spanish_Galicia:GAL35
Distance: 3.9192% / 0.03919186
50.2 Anatolia_Barcin_N
26.6 Yamnaya_RUS_Samara
13.6 BEL_Loschbour
6.2 MAR_Taforalt
2.6 IRN_Ganj_Dareh_N
0.8 RUS_Karelia_HG

Target: Spanish_Castilla_La_Mancha:HG02238
Distance: 2.6675% / 0.02667477
51.8 Anatolia_Barcin_N
24.0 Yamnaya_RUS_Samara
11.4 BEL_Loschbour
5.2 Levant_Natufian
5.2 RUS_Karelia_HG
2.4 MAR_Taforalt

Target: Spanish_Andalucia:AND2
Distance: 3.0883% / 0.03088330
47.4 Anatolia_Barcin_N
28.0 Yamnaya_RUS_Samara
13.6 BEL_Loschbour
5.4 MAR_Taforalt
5.0 Levant_Natufian
0.6 MWI_Hora_9000BP

Target: Spanish_Andalucia:AND10
Distance: 3.7906% / 0.03790591
53.6 Anatolia_Barcin_N
24.8 Yamnaya_RUS_Samara
13.2 BEL_Loschbour
4.4 MAR_Taforalt
3.2 IRN_Shahr_I_Sokhta_BA2
0.8 RUS_Karelia_HG

Target: Spanish_Extremadura:HG01509
Distance: 3.0686% / 0.03068557
51.4 Anatolia_Barcin_N
28.2 Yamnaya_RUS_Samara
10.8 BEL_Loschbour
6.8 MAR_Taforalt
1.8 Levant_Natufian
1.0 IRN_Ganj_Dareh_N

Target: Spanish_Andalucia:AND80
Distance: 3.6250% / 0.03624988
50.8 Anatolia_Barcin_N
27.0 Yamnaya_RUS_Samara
13.0 BEL_Loschbour
7.6 MAR_Taforalt
1.6 IRN_Ganj_Dareh_N

Y este seria el canario menos español de todos, pero el que menos, tiene mas de 80% en componentes europeos (para el que no quiera considerar el Ganj Dareh como un componente blanco).

Target: Spanish_Canarias:CAN924
Distance: 4.0226% / 0.04022553
48.6 Anatolia_Barcin_N
24.2 Yamnaya_RUS_Samara
14.6 MAR_Taforalt
7.8 BEL_Loschbour
3.4 IRN_Ganj_Dareh_N
1.4 MWI_Hora_9000BP

[gixajo]

Miren que curiosos estos españoles, estan demasiado outliers

LOR]

En realidad están bastante en la media, por lo menos en MAR_Taforalt, que es lo más alto que tienen en conjunto.

Los 7 primeros tienen una media de 4,72% y metiendo el último que se sale algo de lo habitual, la media sube a un 5,97%. No es nada anormal para la población española.A mí la media de ese tipo de calculadoras me suele dar entre 0 y hasta 4%, yo suelo dar por más acertado un 2,4% en MAR_Taforalt para mí.

[Rocinante]

En realidad están bastante en la media, por lo menos en MAR_Taforalt, que es lo más alto que tienen en conjunto.

Los 7 primeros tienen una media de 4,72% y metiendo el último que se sale algo de lo habitual, la media sube a un 5,97%. No es nada anormal para la población española.A mí la media de ese tipo de calculadoras me suele dar entre 0 y hasta 4%, yo suelo dar por más acertado un 2,4% en MAR_Taforalt para mí.

Si pero no veas solo el taforalt, tienes que ver el natufian, el shar i soktha y los componentes del mesolitico africano, que son bastantes ajenos a Europa. El Ganj Dareh de cierta manera es primo hermano de los esteparios, es mas, si lo quitas se lo suman al yamnaya, pero aun asi es muchisimo mas comun en los asiaticos del oeste que en los europeos.

[gixajo]

Si pero no veas solo el taforalt, tienes que ver el natufian, el shar i soktha y los componentes del mesolitico africano, que son bastantes ajenos a Europa. El Ganj Dareh de cierta manera es primo hermano de los esteparios, es mas, si lo quitas se lo suman al yamnaya, pero aun asi es muchisimo mas comun en los asiaticos del oeste que en los europeos.

Pero son porcentajes muy bajitos.

Pensaba que el Ganj Dareh era Indio.

[Rocinante]

Pero son porcentajes muy bajitos.

Pensaba que el Ganj Dareh era Indio.

Ganj Dareh es lo que se conoce como Iran_Neolithic, que es en realidad un componente derivado de los ANE (Ancient North Eurasians) al igual que los Yamnaya, solo que los Yamnaya tienen EHG y estos no. Lo que seria el componente indio es el Shar i Soktha, a nuestro querido Defcon le sale.

[Rocinante]

Y claro no esta demas mostrar el modelo que use:


BEL_Loschbour:I0001,0.133173,0.106631,0.20176,0.19 2186,0.164338,0.055778,0.00611,0.036922,0.096535,0 .02278,-0.020786,-0.016186,0.024975,-0.007432,0.065824,0.063643,0.008084,0.006714,-0.013324,0.065281,0.120038,0.019166,-0.059405,-0.175687,0.022992
USA_Alaska_TrailCreek_9000BP:TrailCreek,0.036423,-0.284348,0.083721,0.089471,-0.075706,-0.013387,-0.11398,-0.126226,-0.003681,-0.021139,-0.00406,-0.008243,0.004906,-0.011423,0.005293,0.003315,0.000261,-0.000507,0.007039,0.009505,-0.013601,0.002844,0.011339,0.003133,-0.009939
BLZ_MayahakCabPek_9300BP:I3443,0.052359,-0.323954,0.11389,0.093347,-0.118791,-0.018128,-0.286243,-0.337601,-0.007976,-0.008383,0.001786,0.005695,0.003271,0.022157,-0.002714,0.002519,0.00352,0.000633,-0.001006,0.005753,0.006364,0.002226,-0.001356,0.001687,0.003233
Levant_Natufian:I1072,0.021626,0.151314,-0.036204,-0.141475,0.034776,-0.082831,-0.032196,-0.010384,0.128032,0.012028,0.037837,-0.024878,0.085629,0.002615,0.007872,-0.008088,-0.020601,-0.008742,-0.026019,0.040269,0.007112,0.003462,0.007025,0.002 289,0.000599
MAR_Taforalt:TAF010,-0.193499,0.083273,-0.03017,-0.088502,0.034776,-0.055499,-0.076378,0.019384,0.163619,0.008565,0.02111,-0.030573,0.07879,-0.046104,0.077496,-0.046141,-0.00665,-0.069805,-0.144176,0.036518,-0.042924,-0.129217,0.07629,-0.015303,0.018322
CMR_Shum_Laka_8000BP:I10872,-0.597571,0.059916,0.014708,0.026163,-0.011079,0.002231,0.120325,-0.098996,0.017385,-0.008018,-0.00065,-0.023679,-0.018285,-0.007707,0.002986,-0.002387,0.013951,0.014062,0.001508,-0.006003,-0.002371,-0.001855,0.003451,-0.001446,0.002275
RUS_Devils_Gate_Cave_N:NEO236,0.01935,-0.448864,0.067127,-0.049742,-0.041238,-0.046017,0.00846,0.003,0.003681,0.024602,-0.054563,-0.001798,-0.001933,0.012799,-0.010858,-0.005569,0.002477,0.000127,0.017849,0.012631,0.014 599,-0.029553,-0.019843,-0.000843,-0.010538
Anatolia_Barcin_N:I0726,0.120652,0.180764,0.00264,-0.104653,0.053548,-0.054663,-0.005875,-0.002308,0.035383,0.088749,0.009743,0.015586,-0.027651,0.006881,-0.040716,-0.037655,-0.001825,0.002914,0.0225,-0.015382,-0.013351,0.007666,-0.004683,0.00253,0.006945
Yamnaya_RUS_Samara:I0438,0.126344,0.085304,0.04261 5,0.122741,-0.032929,0.048806,-0.002115,0.002077,-0.068925,-0.080548,0.00065,0.002548,-0.00892,-0.029176,0.032437,0.011668,0.002347,-0.005068,-0.006285,0.018009,-0.00025,0.001731,0.021199,0.021328,-0.007185
IRN_Ganj_Dareh_N:I1290,0.036423,0.069056,-0.151603,-0.011951,-0.121253,0.011992,0.017626,-0.005307,-0.084059,-0.051026,0.003085,-0.005695,0.009217,-0.014588,0.026058,0.068814,-0.005737,0.008615,0.014581,-0.032391,0.01435,-0.02201,-0.016885,-0.041452,0.02874
IRN_Shahr_I_Sokhta_BA2:I8728,0.033009,-0.081242,-0.184789,0.125325,-0.09848,0.06777,0.002585,0.007615,0.03661,0.02606,-0.002273,0.010041,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
GEO_CHG:KK1,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036
RUS_Karelia_HG:I0061,0.125205,0.034528,0.137272,0. 204137,-0.015695,0.057451,-0.026791,-0.03046,-0.01084,-0.090571,0.025982,-0.009591,0.022745,-0.048581,0.019679,0.016309,-0.022426,0.0019,-0.006913,0.017258,-0.004617,0.011747,0.007025,-0.020485,-0.008502
SWE_Motala_HG:I0012,0.135449,0.084289,0.173476,0.1 95739,0.092017,0.056894,-0.00752,0.009692,0.050722,-0.038999,-0.000325,-0.018434,0.032557,-0.016928,0.02823,0.052771,0.004303,0,-0.006913,0.035017,0.062016,0.016693,-0.021445,-0.104714,0.001437
ETH_4500BP:mota,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
MWI_Hora_9000BP:I2966,-0.544074,0.057885,0.007542,0.026163,0.001539,-0.005578,0.167328,-0.13061,0.033746,-0.012574,-0.005359,-0.02203,-0.017691,0.005505,0.016151,-0.011138,0.022817,0.118834,-0.030545,-0.004377,-0.018218,-0.004451,-0.005793,-0.000843,0.003712

[Defcon2]

En moro todos están en la media exceptuando al canario como es obvio, pero la mayoría tiene más yamnaya y WHG que yo, lo que si puntúan es en Tepecik pero es más europeo que Natufian por ejemplo. Que calculadoras más raras usa Celtibero.

https://i.postimg.cc/sgY23f3T/muestras.png

[Gallop]

^^

En escalado?

Ponedlo siempre, que uno está en muchas otras cosas.

[Gallop]

Target: Gallop_scaled
Distance: 3.2994% / 0.03299388
51.8 Anatolia_Barcin_N
29.0 Yamnaya_RUS_Samara
13.8 BEL_Loschbour
5.0 MAR_Taforalt
0.4 MWI_Hora_9000BP


Target: Gallop_scaled
Distance: 3.4631% / 0.03463117 | ADC: 0.25x
53.8 Anatolia_Barcin_N
30.0 Yamnaya_RUS_Samara
12.4 BEL_Loschbour
3.8 MAR_Taforalt


Target: Gallop_scaled
Distance: 4.8988% / 0.04898764 | ADC: 0.5x
60.0 Anatolia_Barcin_N
25.6 Yamnaya_RUS_Samara
14.4 SWE_Motala_HG

Target: Gallop_scaled
Distance: 7.6299% / 0.07629878 | ADC: 1x
66.8 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
0.8 SWE_Motala_HG


Qué es esto? MWI_Hora_9000BP
SWE Motala HG ya me lo había visto en otras calculadoras como también Loschbour, pero este MWi no lo había visto nunca.

[Rocinante]

En moro todos están en la media exceptuando al canario como es obvio, pero la mayoría tiene más yamnaya y WHG que yo, lo que si puntúan es en Tepecik pero es más europeo que Natufian por ejemplo. Que calculadoras más raras usa Celtibero.

https://i.postimg.cc/sgY23f3T/muestras.png

Tepecik no se deberia usar si usas natufian, pero este es Barcin + Natufian, lo puedes modelar si quieres. Hay que usar las referencias mas puras que se pueda, que si no, dan resultados que no son precisos.

[Defcon2]

Tepecik no se deberia usar si usas natufian, pero este es Barcin + Natufian, lo puedes modelar si quieres. Hay que usar las referencias mas puras que se pueda, que si no, dan resultados que no son precisos.

Ninguna referencia es pura, tampoco sabemos el motivo por el cual el creador del G25 utiiza Tepecik y en tu calculadora los hace aparentar menos europeos de lo que son.

[Rocinante]

Ninguna referencia es pura, tampoco sabemos el motivo por el cual el creador del G25 utiiza Tepecik y en tu calculadora los hace aparentar menos europeos de lo que son.

Hay referencias puras, claro que sí, lo único que hay es que saber cuáles son y la historia detrás de ellas. Tepecik es Barcin + Natufian, si tu quieres saber si eres farmer europeo o farmer levantino, tienes que usar estas 2 y no una mezcla. Esas muestras de españoles que saqué son los mas outlier, generalmente marcan en promedio 95% europeo.

[mitalit]

Que os sale en esta calculadora? http://g25world.genetics.ovh/african-ancestry.htm

Target: Xabier_scaled
Distance: 2.6250% / 0.02624966
99.4 West_Euro
0.6 NorthAfrican

[mitalit]

Supongo que a gixajo le saldra 100 europeo

[Defcon2]

Hay referencias puras, claro que sí, lo único que hay es que saber cuáles son y la historia detrás de ellas. Tepecik es Barcin + Natufian, si tu quieres saber si eres farmer europeo o farmer levantino, tienes que usar estas 2 y no una mezcla. Esas muestras de españoles que saqué son los mas outlier, generalmente marcan en promedio 95% europeo.

Supongo que tendremos un concepto de pureza distinto, para mí todos están relacionados entre ellos de alguna u otra forma. Esta es la posición de cada uno en el global:

Dos de ellos son más vascos y tres más norteños que yo, los únicos más alejados serían un gallego, el extremeño y el canario. Tampoco es que sean extraños dentro de lo que cabe.

https://i.imgur.com/ZtoYYC8.png

[Brás Garcia de Mascarenhas]

Que os sale en esta calculadora?

Target: Viriato_scaled
Distance: 2.4758% / 0.02475832
96.8 West_Euro
3.2 NorthAfrican

[Defcon2]

Supongo que a gixajo le saldra 100 europeo

Yo casi.

Target: Juan_scaled
Distance: 3.2161% / 0.03216077
98.8 West_Euro
1.0 WestAfrican_Mandingo
0.2 SouthAfrican_Bushman

[Rocinante]

Supongo que tendremos un concepto de pureza distinto, para mí todos están relacionados entre ellos de alguna u otra forma. Esta es la posición de cada uno en el global:

Dos de ellos son más vascos y tres más norteños que yo, los únicos más alejados serían un gallego, el extremeño y el canario. Tampoco es que sean extraños dentro de lo que cabe.

https://i.imgur.com/ZtoYYC8.png

Hay componentes que poco estan relacionados entre si, WHG no tiene nada que ver con Yamnaya, por ejemplo, o Barcin no tiene nada que ver con Taforalt. Por supuesto que todos venimos de Africa, pero el asunto esta en que estas haciendo una estimacion etnica trazando una linea de tiempo, y para tener numeros lo mas ajustados a la realidad posibles, no puedes usar esto:

Target: Anatolia_Tepecik_Ciftlik_N
Distance: 3.2030% / 0.03202978
73.8 Anatolia_Barcin_N
11.6 Levant_Natufian
7.4 GEO_CHG
6.2 IRN_Ganj_Dareh_N
1.0 BEL_Loschbour

Ese componente por ejemplo no te esta dando en realidad tu neolitico de farmer y te esta quitando lo que posiblemente tengas de natufian, encima que te quita componentes relacionados con CHG.

Para explicarme mejor, mira el Samara que han estado usando sacando con el average:

Target: Yamnaya_RUS_Samara
Distance: 1.6657% / 0.01665733
87.2 Yamnaya_RUS_Samara
3.8 RUS_Karelia_HG
2.8 IRN_Ganj_Dareh_N
2.6 Anatolia_Barcin_N
1.6 SWE_Motala_HG
1.2 Levant_Natufian
0.8 BEL_Loschbour

He estado trabajando todos estos dias en filtrar los componentes mas puros que hay, de cada muestra, y los resultados mas cercanos a la realidad te los va a dar el model que saque.

Al final cada quien se modela como quiere y confia en lo que uno hace.


Que os sale en esta calculadora? http://g25world.genetics.ovh/african-ancestry.htm

Target: Xabier_scaled
Distance: 2.6250% / 0.02624966
99.4 West_Euro
0.6 NorthAfrican

Target: Alejandro_scaled
Distance: 2.3030% / 0.02303047
87.0 West_Euro
7.8 East_Euro
5.0 NorthAfrican
0.2 SouthAfrican_Bushman

[gixajo]

Supongo que a gixajo le saldra 100 europeo

Target: gixajo_scaled
Distance: 2.3969% / 0.02396852
100.0 West_Euro

[gixajo]

Target: gixajo_scaled
Distance: 2.3969% / 0.02396852
100.0 West_Euro

Target: gixajo_scaled
Distance: 2.6108% / 0.02610811 | ADC: 1x
100.0 West_Euro

Target: gixajo_scaled
Distance: 2.4282% / 0.02428168 | ADC: 0.5x
100.0 West_Euro

Target: gixajo_scaled
Distance: 2.4020% / 0.02401996 | ADC: 0.25x
100.0 West_Euro

Distance to: gixajo_scaled
0.02761609 West_Euro
0.04584494 West_Euro
0.07082377 West_Euro
0.07220253 West_Euro
0.07427512 East_Euro
0.08279618 West_Euro
0.11755621 East_Euro
0.21047783 NorthAfrican
0.27245283 NorthAfrican
0.56752572 Cushitic
0.71990423 EastAfrican_Nilotic
0.73121092 EastAfrican_Bantu
0.73904863 WestAfrican_Mandingo
0.75270687 SouthAfrican_Bantu
0.76546303 WestAfrican_Yoruba
0.85708106 SouthAfrican_Bushman

[gixajo]

Y claro no esta demas mostrar el modelo que use:

[CODE]]

Target: gixajo_scaled
Distance: 3.6746% / 0.03674645
54.0 Anatolia_Barcin_N
28.8 Yamnaya_RUS_Samara
14.2 BEL_Loschbour
3.0 MAR_Taforalt

Target: gixajo_scaled
Distance: 7.4582% / 0.07458201 | ADC: 1x
68.0 Anatolia_Barcin_N
30.0 Yamnaya_RUS_Samara
2.0 SWE_Motala_HG

Target: gixajo_scaled
Distance: 4.6161% / 0.04616057 | ADC: 0.5x
60.8 Anatolia_Barcin_N
23.8 Yamnaya_RUS_Samara
15.4 SWE_Motala_HG

Target: gixajo_scaled
Distance: 3.8513% / 0.03851303 | ADC: 0.25x
56.6 Anatolia_Barcin_N
28.0 Yamnaya_RUS_Samara
10.8 BEL_Loschbour
3.4 SWE_Motala_HG
1.2 MAR_Taforalt

[Rocinante]

Target: gixajo_scaled
Distance: 3.6746% / 0.03674645
54.0 Anatolia_Barcin_N
28.8 Yamnaya_RUS_Samara
14.2 BEL_Loschbour
3.0 MAR_Taforalt

Target: gixajo_scaled
Distance: 7.4582% / 0.07458201 | ADC: 1x
68.0 Anatolia_Barcin_N
30.0 Yamnaya_RUS_Samara
2.0 SWE_Motala_HG

Target: gixajo_scaled
Distance: 4.6161% / 0.04616057 | ADC: 0.5x
60.8 Anatolia_Barcin_N
23.8 Yamnaya_RUS_Samara
15.4 SWE_Motala_HG

Target: gixajo_scaled
Distance: 3.8513% / 0.03851303 | ADC: 0.25x
56.6 Anatolia_Barcin_N
28.0 Yamnaya_RUS_Samara
10.8 BEL_Loschbour
3.4 SWE_Motala_HG
1.2 MAR_Taforalt

Esos son 14.2% de puro Mesolitico europeo.

[gixajo]

Acabo de hacer este, y no creo que esté bien: https://www.theapricity.com/forum/showthread.php?316785-BIG-IRON-AGE-CALCULATOR-by-Andre-SCALED/page6

No me sale ninguna población Ibérica en distancias, en las 30 primeras poblaciones.

[Defcon2]

Hay componentes que poco estan relacionados entre si, WHG no tiene nada que ver con Yamnaya, por ejemplo, o Barcin no tiene nada que ver con Taforalt. Por supuesto que todos venimos de Africa, pero el asunto esta en que estas haciendo una estimacion etnica trazando una linea de tiempo, y para tener numeros lo mas ajustados a la realidad posibles, no puedes usar esto:

Target: Anatolia_Tepecik_Ciftlik_N
Distance: 3.2030% / 0.03202978
73.8 Anatolia_Barcin_N
11.6 Levant_Natufian
7.4 GEO_CHG
6.2 IRN_Ganj_Dareh_N
1.0 BEL_Loschbour

Ese componente por ejemplo no te esta dando en realidad tu neolitico de farmer y te esta quitando lo que posiblemente tengas de natufian, encima que te quita componentes relacionados con CHG.

Para explicarme mejor, mira el Samara que han estado usando sacando con el average:

Target: Yamnaya_RUS_Samara
Distance: 1.6657% / 0.01665733
87.2 Yamnaya_RUS_Samara
3.8 RUS_Karelia_HG
2.8 IRN_Ganj_Dareh_N
2.6 Anatolia_Barcin_N
1.6 SWE_Motala_HG
1.2 Levant_Natufian
0.8 BEL_Loschbour

He estado trabajando todos estos dias en filtrar los componentes mas puros que hay, de cada muestra, y los resultados mas cercanos a la realidad te los va a dar el model que saque.

Al final cada quien se modela como quiere y confia en lo que uno hace.


Deberíamos ganar varios premios a los mas cabezotas del foro pero seguiré: la muestra Natufian que estás usando tiene un componente bastante importante de Iberomaurusian por lo que se lo está endosando gratuitamente a las muestras españolas supuestamente extrañas que tu decías antes. Me parece que esto indica lo que dije, todos están relacionados de una forma u otra.

Target: Levant_Natufian:I1072
Distance: 8.4276% / 0.08427610
80.2 Levant_PPNB
19.8 MAR_Iberomaurusian

A ver que me sacas ahora.

[gixajo]

Supongo que tendremos un concepto de pureza distinto, para mí todos están relacionados entre ellos de alguna u otra forma. Esta es la posición de cada uno en el global:

Dos de ellos son más vascos y tres más norteños que yo, los únicos más alejados serían un gallego, el extremeño y el canario. Tampoco es que sean extraños dentro de lo que cabe.

g]

Yo lo veo como tú, me parecen unas muestras de individuos bastante normalitos en general. Incluso el Canario para Canarias es normalito, igual en la península se sale algo de la media, pero habrá peninsulares con porcentajes semejantes a cascoporro también, sin ser una norma.

[Rocinante]

Deberíamos ganar varios premios a los mas cabezotas del foro pero seguiré: la muestra Natufian que estás usando tiene un componente bastante importante de Iberomaurusian por lo que se lo está endosando gratuitamente a las muestras españolas supuestamente extrañas que tu decías antes. Me parece que esto indica lo que dije, todos están relacionados de una forma u otra.

Target: Levant_Natufian:I1072
Distance: 8.4276% / 0.08427610
80.2 Levant_PPNB
19.8 MAR_Iberomaurusian

A ver que me sacas ahora.

Distance: 8.4276% / 0.08427610

Muchisima distancia, esto podria tomarse como un componente solito e indendiente. Ten en cuenta tambien que te tiene que dar algun resultado, formar algo en el espacio, y no hay lugar a dudas que Natufian e Iberomaurusian estan relacionados porque estos mismos hasta comparten haplogrupos (E1b).

Ahora, otra cosa, el Pre-Pottery-Neolithic es una mezcla de Natufian y Barcin xD por eso nadie usa estos componentes. Mira esto:

Target: Levant_PPNB
Distance: 4.3300% / 0.04329979
52.8 Levant_Natufian
41.0 Anatolia_Barcin_N
6.2 IRN_Ganj_Dareh_N

Y de extra, modelando mi natufian con el resto de mi modelo:

Target: Levant_Natufian:I1072
Distance: 14.7411% / 0.14741125
59.8 Anatolia_Barcin_N
37.0 MAR_Taforalt
3.2 IRN_Ganj_Dareh_N

Mas puro no podria ser.

[gixajo]

Haced el que puse un enlace, a ver si solo es a mí que me hace romano en vez de Ibérico.

https://www.theapricity.com/forum/showthread.php?316785-BIG-IRON-AGE-CALCULATOR-by-Andre-SCALED/page6

[Rocinante]

Yo lo veo como tú, me parecen unas muestras de individuos bastante normalitos en general. Incluso el Canario para Canarias es normalito, igual en la península se sale algo de la media, pero habrá peninsulares con porcentajes semejantes a cascoporro también, sin ser una norma.

Es que se me olvido comentar tambien eso, no dejan de ser españoles, solo estan algo diferenciados de la media, pero la media que es? El promediar a todas las muestras españolas, eso incluyen tanto los que marquen 99%~100% como los que marquen 90%~91%.

Yo no soy purista, de hecho, me gusta el picante en algunos resultados (como los mios).

[gixajo]

Es muy difícil encontrar individuos que sean la media exacta , salvo en muestras enormes, y menos con estos calculadores que dan porcentajes de unos cuantos parámetros.

Para eso están medidas como la desviación típica, para conocer la distancia media de las muestras respecto a la media. Es una medida estadística que mide eso, la homogeneidad de una población, la poca dispersión respecto al estándar esperado.

[Defcon2]

Distance: 8.4276% / 0.08427610

Muchisima distancia, esto podria tomarse como un componente solito e indendiente. Ten en cuenta tambien que te tiene que dar algun resultado, formar algo en el espacio, y no hay lugar a dudas que Natufian e Iberomaurusian estan relacionados porque estos mismos hasta comparten haplogrupos (E1b).

Ahora, otra cosa, el Pre-Pottery-Neolithic es una mezcla de Natufian y Barcin xD por eso nadie usa estos componentes. Mira esto:

Target: Levant_PPNB
Distance: 4.3300% / 0.04329979
52.8 Levant_Natufian
41.0 Anatolia_Barcin_N
6.2 IRN_Ganj_Dareh_N

Y de extra, modelando mi natufian con el resto de mi modelo:

Target: Levant_Natufian:I1072
Distance: 14.7411% / 0.14741125
59.8 Anatolia_Barcin_N
37.0 MAR_Taforalt
3.2 IRN_Ganj_Dareh_N

Mas puro no podria ser.

Hombre, si tu mismo dices que están relacionados y usas Natufian e Iberomaurusian en un mismo modelo pues algo de conflicto-espaciotemporal-contradictus generarán no?

No tienes forma de saber el Natufian de lo que es Maurusiano, algunos sacarán una cosa y otros otra e incluso resultados inflados cuando se unen.

Que la distancia sea elevada no indica pureza sino un componente ausente necesario, yo mismo en un modelo donde carezca de referencias ibéricas sacaría una peor distancia y esto está demostrado.

[Rocinante]

Hombre, si tu mismo dices que están relacionados y usas Natufian e Iberomaurusian en un mismo modelo pues algo de conflicto-espaciotemporal-contradictus generarán no?

No tienes forma de saber el Natufian de lo que es Maurusiano, algunos sacarán una cosa y otros otra e incluso resultados inflados cuando se unen.

Que la distancia sea elevada no indica pureza sino un componente ausente necesario, yo mismo en un modelo donde carezca de referencias ibéricas sacaría una peor distancia y esto está demostrado.

No no, a ver, se puede estar relacionado, pero no ser lo mismo. Es posible que yo mismo me este enredando en explicar, pero Natufian plotea cerca de Barcin como Yamnaya con WHG, y estos no son lo mismo vamos, ni cerca.

Lo que quiero dar de entender (porque fue lo que hice) es que siempre es mejor que te modeles con una muestra que sea 100% o casi 100% yamnaya, WHG, natufian, etc. Hay muestras de Yamnaya que les marca hasta mesolitico africano, cosa que es imposible, por eso te digo.

[Defcon2]

No no, a ver, se puede estar relacionado, pero no ser lo mismo. Es posible que yo mismo me este enredando en explicar, pero Natufian plotea cerca de Barcin como Yamnaya con WHG, y estos no son lo mismo vamos, ni cerca.

Lo que quiero dar de entender (porque fue lo que hice) es que siempre es mejor que te modeles con una muestra que sea 100% o casi 100% yamnaya, WHG, natufian, etc. Hay muestras de Yamnaya que les marca hasta mesolitico africano, cosa que es imposible, por eso te digo.

Natufian tiene un 20% iberomaurusiano dependiendo del modelo, si me dices que está cerca de ser puro adelante. Ya lo sé que no son lo mismo pero provocan un conflicto evidente en un mismo modelo, no quiero demostrar nada más.

[Rocinante]

Natufian tiene un 20% iberomaurusiano dependiendo del modelo, si me dices que está cerca de ser puro adelante. Ya lo sé que no son lo mismo pero provocan un conflicto evidente en un mismo modelo, no quiero demostrar nada más.

Mi natufian no tiene ese iberomauritano y esta lejos de cualquier otro componente, pero estoy de acuerdo en que lo dejemos así, creo que cada quién tiene su manera de modelar.

[Pedro Ruben]

Que os sale en esta calculadora? http://g25world.genetics.ovh/african-ancestry.htm

Target: Xabier_scaled
Distance: 2.6250% / 0.02624966
99.4 West_Euro
0.6 NorthAfrican

Target: Pedro_scaled
Distance: 2.1739% / 0.02173901
88.6 West_Euro
10.0 NorthAfrican
1.4 EastAfrican_Nilotic

[mitalit]

Haced el que puse un enlace, a ver si solo es a mí que me hace romano en vez de Ibérico.

https://www.theapricity.com/forum/showthread.php?316785-BIG-IRON-AGE-CALCULATOR-by-Andre-SCALED/page6

Target: Xabier_scaled
Distance: 2.3935% / 0.02393541
69.4 ITALIC_PEOPLE
14.4 ALPINE_CELTIC
9.8 SARMATIAN_CASPIAN_STEPPE_IRANIC
4.0 PROTO-BERBERS
1.2 NILOTIC_SSA
1.2 PRE-HELLENIC_ANATOLIAN_PEOPLE


Distance to: Xabier_scaled
0.03619505 ITALIC_PEOPLE:ITA_Prenestini_tribe_IA:RMPR435b
0.04818362 ALPINE_CELTIC:DEU_Lech_MBA:OTTM_151ind2_d
0.05097932 ITALIC_PEOPLE:ITA_Ardea_Latini_IA:RMPR851
0.05676873 ITALIC_PEOPLE:ITA_Boville_Ernica_IA:RMPR1021
0.06301557 THRACIAN:Scythian_MDA:scy197
0.06604337 THRACIAN:Scythian_MDA:scy192
0.06649341 THRACIAN:Scythian_MDA:scy300
0.07070584 THRACIAN:Scythian_HUN:DA198
0.12679039 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2203
0.13856679 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA_low_res:MA2208
0.14305599 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA139
0.14469664 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2200
0.14597286 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:chy001
0.14769547 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem002
0.15093728 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2206
0.15335439 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem001
0.15380692 MARGIANA_INDO-IRANIC:TKM_IA:DA382
0.15549744 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2205
0.15589862 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA26
0.15727083 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ56
0.15800114 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ44
0.15809155 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem003
0.15863257 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA143
0.15913492 SARMATIAN_CAUCASUS_IRANIC:Sarmatian_RUS_Caucasus:M J38
0.15926166 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA30

[gixajo]

Target: Xabier_scaled
Distance: 2.3935% / 0.02393541
69.4 ITALIC_PEOPLE
14.4 ALPINE_CELTIC
9.8 SARMATIAN_CASPIAN_STEPPE_IRANIC
4.0 PROTO-BERBERS
1.2 NILOTIC_SSA
1.2 PRE-HELLENIC_ANATOLIAN_PEOPLE


Distance to: Xabier_scaled
0.03619505 ITALIC_PEOPLE:ITA_Prenestini_tribe_IA:RMPR435b
0.04818362 ALPINE_CELTIC:DEU_Lech_MBA:OTTM_151ind2_d
0.05097932 ITALIC_PEOPLE:ITA_Ardea_Latini_IA:RMPR851
0.05676873 ITALIC_PEOPLE:ITA_Boville_Ernica_IA:RMPR1021
0.06301557 THRACIAN:Scythian_MDA:scy197
0.06604337 THRACIAN:Scythian_MDA:scy192
0.06649341 THRACIAN:Scythian_MDA:scy300
0.07070584 THRACIAN:Scythian_HUN:DA198
0.12679039 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2203
0.13856679 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA_low_res:MA2208
0.14305599 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA139
0.14469664 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2200
0.14597286 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:chy001
0.14769547 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem002
0.15093728 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2206
0.15335439 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem001
0.15380692 MARGIANA_INDO-IRANIC:TKM_IA:DA382
0.15549744 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2205
0.15589862 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA26
0.15727083 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ56
0.15800114 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ44
0.15809155 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem003
0.15863257 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA143
0.15913492 SARMATIAN_CAUCASUS_IRANIC:Sarmatian_RUS_Caucasus:M J38
0.15926166 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA30

Ves? no es normal, el primer Ibérico me sale a distancias del 17%, igual las coordenadas de los Ibéricos son de una fuente de coordenadas Unscaled?

Edito:una "fuente sin escalar", suena raro por muy correcto que sea...

[Gallop]

Target: Gallop_scaled
Distance: 2.6738% / 0.02673779 | ADC: 0.25x
100.0 West_Euro

Target: Gallop_scaled
Distance: 2.6705% / 0.02670475
99.8 West_Euro
0.2 NorthAfrican


Unos europeos tienen mongoles y otros algo de norteafricano del año catapún chimpún, en fin Pilarín. Tengo que decir que yo tengo un marcador mongol.

De todas formas qué les ha pasado aquí en este foro a los españoles, qué les han hecho o qué ha pasado, somos muy pocos los que publicamos, les han hecho bullyng o algo así, que no me entere yo porque me los como con papas.

Si algo está mal corregirlo porque no vamos a estar perdiendo el tiempo con agendas.

[Rocinante]

Target: Gallop_scaled
Distance: 2.6738% / 0.02673779 | ADC: 0.25x
100.0 West_Euro

Target: Gallop_scaled
Distance: 2.6705% / 0.02670475
99.8 West_Euro
0.2 NorthAfrican


Unos europeos tienen mongoles y otros algo de norteafricano del año catapún chimpún, en fin Pilarín. Tengo que decir que yo tengo un marcador mongol.

De todas formas qué les ha pasado aquí en este foro a los españoles, qué les han hecho o qué ha pasado, somos muy pocos los que publicamos, les han hecho bullyng o algo así, que no me entere yo porque me los como con papas.

Si algo está mal corregirlo porque no vamos a estar perdiendo el tiempo con agendas.

Yo me he comido con papatas a más de un atrevido en hacerse el experto en genética ibérica, teniendo nada de relación con los ibéricos, y a troles que han intentado poner por debajo a los españoles y han salido o insultados desde la A hasta la Z o baneados.

Acá hay gente que defiende a los españoles, unos de una manera, y otros de otra, pero la idea es estar juntos cuando eso pase.

[mitalit]

Ves? no es normal, el primer Ibérico me sale a distancias del 17%, igual las coordenadas de los Ibéricos son de una fuente de coordenadas Unscaled?

Edito:una "fuente sin escalar", suena raro por muy correcto que sea...

Pues ni idea

[Erronkari]

Yo me he comido con papatas a más de un atrevido en hacerse el experto en genética ibérica, teniendo nada de relación con los ibéricos, y a troles que han intentado poner por debajo a los españoles y han salido o insultados desde la A hasta la Z o baneados.

Acá hay gente que defiende a los españoles, unos de una manera, y otros de otra, pero la idea es estar juntos cuando eso pase.

Yo me sumo.
No español, hispanodescendiente pero me sumo con todo gusto.

[AlfonsoVIII]

Yo me sumo.
No español, hispanodescendiente pero me sumo con todo gusto.

Español entonces hermano, no hay más español que el que lo lleva en la sangre.

[Defcon2]

Ves? no es normal, el primer Ibérico me sale a distancias del 17%, igual las coordenadas de los Ibéricos son de una fuente de coordenadas Unscaled?

Edito:una "fuente sin escalar", suena raro por muy correcto que sea...

Entonces los conejos son más ibéricos que usted.

Target: Juan_scaled
Distance: 2.4925% / 0.02492542
81.4 ITALIC_PEOPLE
7.8 PROTO-BERBERS
7.0 THRACIAN
2.8 BANTU_NILOTIC_MIX_SSA
1.0 INDO-ARYAN


Distance to: Juan_scaled
0.04651377 ITALIC_PEOPLE:ITA_Prenestini_tribe_IA:RMPR435b
0.05048273 ITALIC_PEOPLE:ITA_Boville_Ernica_IA:RMPR1021
0.05445253 ITALIC_PEOPLE:ITA_Ardea_Latini_IA:RMPR851
0.05880485 ALPINE_CELTIC:DEU_Lech_MBA:OTTM_151ind2_d
0.06353019 THRACIAN:Scythian_HUN:DA198
0.06418293 THRACIAN:Scythian_MDA:scy197
0.06850714 THRACIAN:Scythian_MDA:scy300
0.07287163 THRACIAN:Scythian_MDA:scy192
0.12176289 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2203
0.13255255 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA_low_res:MA2208
0.13920221 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2200
0.14707011 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2206
0.15525305 PRE-HELLENIC_ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2205
0.15771974 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I10364
0.15792233 IBERIAN:Iberia_East_IA:I3322
0.15803811 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:chy001
0.15804824 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC008
0.15824986 ETRUSCAN:ITA_Etruscan:RMPR473
0.15849507 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:MA110
0.15864665 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:SUA001
0.15871907 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC006
0.15878238 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I10552
0.15887069 ITALIC_PEOPLE:ITA_Ardea_Latini_IA:RMPR851
0.15907904 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC007
0.15917879 IBERIAN:Iberia_East_IA:I3320
0.15918931 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I3741
0.15931261 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I16169
0.15942571 ITALIC_PEOPLE:ITA_Boville_Ernica_IA:RMPR1021
0.15946699 IBERIAN:Iberia_East_IA:I12879
0.15946748 CELTIBERIAN:Iberia_North_IA:I3758
0.15950843 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I16168
0.15982753 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I16170
0.15987284 ITALIC_PEOPLE:ITA_Prenestini_tribe_IA:RMPR435b
0.16010933 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I10553
0.16012108 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I3743
0.16014623 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:MA82
0.16024869 IBERIAN:Iberia_East_IA:I3321
0.16027855 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I16161
0.16035393 IBERIAN:Iberia_East_IA:I3323
0.16097917 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC003
0.16105261 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC001
0.16105833 CELTIBERIAN:Iberia_North_IA:I3759
0.16107031 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC004
0.16109091 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA139
0.16130699 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I16183
0.16140475 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC009
0.16142584 CELTIC:CZE_Hallstatt_Bylany:DA111
0.16155843 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:SUA006
0.16158933 CELTIBERIAN:Iberia_Northeast_Empuries1:I8209
0.16204479 IBERIAN:Iberia_East_IA:I12410
0.16229688 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I10554
0.16275351 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:I10365
0.16280483 CELTIBERIAN:Iberia_Northeast_Empuries1:I8203
0.16281216 ITALIC_PEOPLE:ITA_Rome_Latini_IA:RMPR1016
0.16295874 ISTRIAN-LIBURNIAN-VENETIC:HRV_IA:I3313
0.16299700 PUNIC_CIVILITAZION:ITA_Sardinia_Punic:MSR003
0.16309778 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ISC001
0.16347042 CELTIC_NARBONENSE:Iberia_Northeast_Empuries1:I8214
0.16382485 ETRUSCAN:ITA_Etruscan:RMPR474b
0.16424769 IBERIAN:Iberia_East_IA:I3327
0.16482502 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:ORC005
0.16522752 PUNIC_CIVILITAZION:ITA_Sardinia_Punic:MSR002
0.16522774 BACTRIAN_INDO-IRANIAN:TJK_Ksirov_H_Kushan:I12292
0.16537177 NURAGIC_CULTURE:ITA_Sardinia_Nuragic:SUA003
0.16545905 IBERIAN:Iberia_East_IA:I3324
0.16601454 MARGIANA_INDO-IRANIC:TKM_IA:DA382
0.16629166 THRACIAN:BGR_IA:I5769
0.16662878 CELTIC:England_IA:I0160
0.16699186 MAGNAE_GRECIA_HELLENS:Iberia_Northeast_Empuries2:I 8208
0.16700091 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem002
0.16725598 CELTIC:CZE_Hallstatt_Bylany:DA112
0.16732542 PUNIC_CIVILITAZION:ITA_Sardinia_Punic:VIL006
0.16772251 MAGNAE_GRECIA_HELLENS:Iberia_Northeast_Empuries2:I 8215
0.16792211 CELTIC:England_IA:I0156
0.16822275 HELLENS:GRC_Mycenaean:I9033
0.16848048 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA30
0.16907477 CELTIBERIAN:Iberia_Northeast_Empuries1:I8206
0.16972199 HELLENS:GRC_Mycenaean:I9041
0.16989038 CELTIC:England_IA:M1489
0.17078529 GERMANIC:SWE_IA:RISE174
0.17096226 CELTIC:England_IA:I0789
0.17106899 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem001
0.17131845 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ56
0.17188227 HELLENS:GRC_Mycenaean:I9010
0.17196241 HELLENS:GRC_Mycenaean:I9006
0.17316244 PUNIC_CIVILITAZION:ITA_Sardinia_Punic:VIL010
0.17352767 AEGEAN_INDOEUROPEANS:Levant_ISR_Ashkelon_IA1:ASH06 8
0.17368518 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ44
0.17416891 SARMATIAN_CASPIAN_STEPPE_IRANIC:Sarmatian_RUS_Casp ian_steppe:DA143
0.17441663 ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2203
0.17460395 AEGEAN_INDOEUROPEANS:Levant_ISR_Ashkelon_IA1:ASH06 7
0.17502630 AEGEAN_INDOEUROPEANS:Levant_ISR_Ashkelon_IA1:ASH2-3
0.17546606 PUNIC_CIVILITAZION:ITA_Sardinia_Punic:VIL011
0.17558160 SARMATIAN_ASIAN_STEPPE_IRANIC:Sarmatian_KAZ:DA26
0.17598953 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:chy002
0.17607445 ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA:MA2200
0.17621382 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:tem003
0.17626189 SARMATIAN_CAUCASUS_IRANIC:Sarmatian_RUS_Caucasus:M J38
0.17655845 ANATOLIAN_PEOPLE:Anatolia_Kaman-Kalehoyuk_MLBA_low_res:MA2208
0.17667727 SARMATIAN_URALS_IRANIC:Sarmatian_RUS_Urals:MJ39

[Defcon2]

Mi natufian no tiene ese iberomauritano y esta lejos de cualquier otro componente, pero estoy de acuerdo en que lo dejemos así, creo que cada quién tiene su manera de modelar.

Qué pasa si quito a Taforalt de tu modelo y lo pongo en Target?

Target: MAR_Taforalt:TAF010
Distance: 26.4296% / 0.26429605
66.4 Levant_Natufian
33.4 ETH_4500BP
0.2 RUS_Devils_Gate_Cave_N

Y si quito a Natufian y lo pongo en Target?

Target: Levant_Natufian:I1072
Distance: 14.7411% / 0.14741125
59.8 Anatolia_Barcin_N
37.0 MAR_Taforalt
3.2 IRN_Ganj_Dareh_N

:rolleyes:

Además Taforalt está mucho más lejos que Natufian y carece del componente Anatolio :wink

:modotroll:

[Rocinante]

Qué pasa si quito a Taforalt de tu modelo y lo pongo en Target?

Target: MAR_Taforalt:TAF010
Distance: 26.4296% / 0.26429605
66.4 Levant_Natufian
33.4 ETH_4500BP
0.2 RUS_Devils_Gate_Cave_N

Y si quito a Natufian y lo pongo en Target?

Target: Levant_Natufian:I1072
Distance: 14.7411% / 0.14741125
59.8 Anatolia_Barcin_N
37.0 MAR_Taforalt
3.2 IRN_Ganj_Dareh_N

:rolleyes:

Además Taforalt está mucho más lejos que Natufian y carece del componente Anatolio :wink

:modotroll:

Pero ve las distancias tío, eso te lo dice todo, esta lejos de cualquiera, por supuesto que esa mas cerca de esas que marca ahí, pero primero que ninguna al 100% y sobretodo la distancia, a muy lejos.

[Defcon2]

Pero ve las distancias tío, eso te lo dice todo, esta lejos de cualquiera, por supuesto que esa mas cerca de esas que marca ahí, pero primero que ninguna al 100% y sobretodo la distancia, a muy lejos.

Dijiste que no tenía iberomauritano y es mentira, no me seas pinocho que te crecerá verrugas en los dedos de tus manos. Y qué me dices de Anatolia?
A mi me parece una tribu difícil de tratar ese Natufian, para los ibéricos es importante no haya conflicto africaner.
Las distancias varían de un modelo a otro, en el tuyo son así.

[Gota_type_]

Mientras yo escribía my tostón tu ya le respondiste.:picard1:


Ah ya ya, DF-27 es el subclado que creo que tendre, quede estancado en el P310 porque MyHeritage es una mierda y da muy poca cobertura en Y-DNA.

.
Os quoteo pq como me asesorásteis para hacer estas calculadoras, por si queréis comentar algo de los resultados (y así que no se pase entre las páginas de este tema sin ser visto).

Bueno, ya tengo hecho los Gedmatch de Vahaduo. Al menos el K13, K15 y el MLDP23. Resulta que soy Tanzano! : "4.18436375 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp" (no, es la 1º distancia q me sale en K13 ancient).
Antes de ponerlos, he hecho solo los Vahaduo gedmatch, ¿se pueden hacer los G25 regional y custom calculators? Si es que sí, ¿qué target tengo que poner en cada una de las calculadoras? Y qué diferencia hay entre "scaled" y "unscaled"?

Aquí van los resultados. Los pongo en Spoiler para que no ocupe tanto. Lo único que me da rabia es que como están basados en las calculadoras antiguas de gedmatch (que seguramente sean del 2015 o por ahí), los resultados son poco fiables porque estas calculadoras de gedmatch son casi la prehistoria en genética.

K13 Ancient



Distance to: yo
4.18436375 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
5.66392973 CL94_Italy_Langobard_1345_ybp
5.80337833 R435b_Lazio_Rome_Roman_Republic
6.01516417 Crusader_SI40_Kingdom_of_Jerusalem_
6.15576965 R109_Lazio_Rome_Italy_Late_Antiquity
6.23756363 R63_Lazio_Rome_Medieval_Italy
7.17548605 I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
7.39365945 R474b_Civitavecchia_Etruscan._Iron_Age
7.93994962 R110_Lazio_Rome_Italy_Late_Antiquity
7.95462758 R1289_Lazio_Rome_Medieval_Italy
7.99976875 I12516_iberia_
8.03566425 FN2_Germany_Late_Roman.SG_1650_ybp
8.22201314 E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
8.25453815 I12649_low_quality_
8.49894111 R1021_Lazio_Frosinone_Iron_Age_Latini
8.63990162 I1297_Bulgaria_MP_N_7817_ybp
8.90219074 I8339_iberia_
8.92941767 RISE373_Hungary_Maros.SG_3741_ybp
9.42542307 I3590_Germany_Bell_Beaker_4191_ybp
9.62069644 ScythianMoldova_SCY300_Moldova_397-209_BC
9.63588086 I10866_iberia_
9.70300469 I8203_iberia_
9.75431699 I5520_Germany_Bell_Beaker_4250_ybp
10.04891039 I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
10.05982604 I7498_Muslim_Iberian_1000_1100_CE_E1b1b1a1b1a_H3a1 _


Target: yo
Distance: 0.0858% / 0.08576363
11.6 I0160_England_IA.SG_1995_ybp
8.2 I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
4.4 Pericues3_T784105_
3.8 I3807_morisco_
3.8 Kvarlov5164_Sweden_TRB_MN_5746_ybp
3.8 Saxtorp5164_Sweden_3945_3647y_old_
3.6 I3130_Scotland_LBA_2854_ybp
3.0 I2441_Poland_Globular_Amphora_5050_ybp
2.2 I2618_England_CA_EBA_3993_ybp
2.2 I6759_England_N_5536_ybp
2.0 grt035_grt035_Sigtuna_10012_century
2.0 Hinxton_4_Cambridgshire_UK_2000_years_M_R_DF25_H1a g1_
2.0 I1388_France_Bell_Beaker_lowSteppe_4246_ybp
2.0 I2478_Beaker_North_Italy_I2478_
1.8 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
1.8 I9041_Greece_Mycenaean_3250_ybp
1.8 R44_Lazio_Rome_Roman_Imperial
1.6 I1284_Iberia_C_4573_ybp
1.6 I2425_Bulgaria_Late_C_6515_ybp
1.6 I2600_England_CA_EBA_daughter_o_I2457_3990_ybp
1.4 I2657_Scotland_N_o_5816_ybp
1.4 I3582_Andalusia_Visigoth_
1.4 Sidon_BA_ERS1790729_
1.2 I2433_Poland_Globular_Amphora_4950_ybp
1.2 I2630_Scotland_N_4472_ybp
1.2 I5950_Ethiopia_4500BP.SG_4472_ybp
1.2 R973_Lazio_Rome_Renaissance_Italy
1.0 I2659_Scotland_N_5652_ybp
1.0 I3581_Andalusia_Visigoth_
0.8 I10866_iberia_
0.8 I3874_Beaker_South_France_I3874_F_T2b3_
0.8 I5117_Hungary_LCA_4550_ybp
0.8 I7425_morisco_
0.8 MBA_Portugal_MG104_Portugal_1740-1430_BC
0.8 MBA_Portugal_TV32032_Portugal_1740-1430_BC
0.8 ScythianMoldova_SCY300_Moldova_397-209_BC
0.8 SZ19_Hungary_Langobard_1463_ybp
0.6 3DT26_England_Roman_MiddleEast.SG_1750_ybp
0.6 6DT3_England_Roman.SG_1750_ybp
0.6 DA125_Kazakhstan_Kangju.SG_1724_ybp
0.6 Hinxton_3_Cambridgshire_UK_1300_years_F_K1a4a1a2b_
0.6 I0022_Germany_LBK_EN_7125_ybp
0.6 I1160_Israel_C_5950_ybp
0.6 I1164_Israel_C_5950_ybp
0.6 I2660_Scotland_N_5383_ybp
0.6 I3269_Iberia_C_5000_ybp
0.6 I3313_Croatia_Early_IA_2733_ybp
0.6 I7041_Hungary_BA_brother.I7043_4300_ybp
0.6 urm035_Sigtuna_M_BCDE_h2a1c_
0.4 84035_Sigtuna_10_12_century_f_h2a3a_
0.4 copt315_copt315_
0.4 gun012_Canary_Islands_Guanche_mummy.SG_1329_ybp
0.4 I1662_Iran_Seh_Gabi_C_6672_ybp
0.4 I2358_Hungary_Tisza_LN_6700_ybp
0.4 I2440_Poland_Globular_Amphora_4950_ybp


K13 updated

Distance to: yo
2.99489566 Spanish_Extremadura
3.04070715 Spanish_Castilla_La_Mancha
3.41985380 Spanish_Andalucia
3.81112844 Spanish_Castilla_Y_Leon
3.88527991 Spanish_Murcia
3.98647714 Portuguese
4.10186543 Spanish_Galicia
4.25268151 Spanish_Cataluna
4.50057774 Spanish_Valencia
5.08190909 Spanish_Cantabria
6.52441568 Spanish_Aragon
7.69914281 Southwest_French
8.60656145 AostaValley
8.74129853 Swiss-Italian
10.20264181 Swiss_Italian
10.29564471 Piedmont
11.28507421 Lombardy
11.66140643 French
11.85374624 Trentino
11.95058576 Veneto
13.38471143 Liguria
13.95388835 Swiss_French
13.97459481 Friuli-VG
14.42868324 Emilia
15.91884418 Tuscany


Target: yo
Distance: 0.4608% / 0.46084972
32.2 Spanish_Castilla_La_Mancha
14.4 French_Basque
10.2 Spanish_Aragon
7.8 South_Dutch
6.4 Spanish_Andalucia
4.8 Sardinian
4.4 North-Dutch
4.2 Swiss_Italian
3.6 AostaValley
1.8 Moroccan_Jew
1.4 Balochi
1.4 Sardinia
1.4 Kurd_Iran
1.0 Mozabite_Berber
1.0 Southwest_French
0.6 Iranian_Jewish
0.6 Sudanese
0.4 Ethiopian_Ari_cultivator
0.4 Southwest_English

K13 original spreadsheet
Distance to: yo
2.99489566 Spanish_Extremadura
3.04070715 Spanish_Castilla_La_Mancha
3.41985380 Spanish_Andalucia
3.81112844 Spanish_Castilla_Y_Leon
3.88527991 Spanish_Murcia
3.98647714 Portuguese
4.10186543 Spanish_Galicia
4.25268151 Spanish_Cataluna
4.50057774 Spanish_Valencia
5.08190909 Spanish_Cantabria
6.52441568 Spanish_Aragon
7.69914281 Southwest_French
11.37010994 North_Italian
11.66140643 French
18.41301713 Tuscan
18.51790215 South_Dutch
18.78880518 West_German
19.39661053 French_Basque
23.29175820 Southeast_English
23.54872183 Southwest_English
24.32008635 Austrian
24.94141937 Serbian
24.97534785 Romanian
25.93897454 Orcadian
26.00161918 West_Sicilian


Target: yo
Distance: 0.4594% / 0.45935893
44.2 Spanish_Castilla_La_Mancha
12.2 French_Basque
11.8 Spanish_Andalucia
8.4 South_Dutch
5.0 Sardinian
3.8 Danish
2.4 Spanish_Aragon
2.0 Tuscan
1.6 Iranian_Jewish
1.4 Balochi
1.4 Sephardic_Jewish
1.4 Southwest_French
1.2 Southwest_English
0.8 Ethiopian_Anuak
0.6 Tunisian
0.4 Selkup
0.2 Cyprian

K15 Ancient
Distance to: yo
7.51044606 BronzAgeBalkan
9.54472629 IA_Civitavecchia_R473
10.29272559 ScythianMoldova_SCY300
10.30937437 IA_Prenestina_Colombella_R435
10.39204985 IA_Civitavecchia_R474
11.08407416 IA_Boville_Ernica_R1021
11.48697088 ScythianMoldova_SCY197
11.87264082 RomanSoldier_FN2
13.36105161 Vucedol_I3499
14.37061237 IA_Etruscan_Veio_Grotta_Gramiccia_R1015
14.42875254 IA_Ardea_R851
14.44169658 IA_Protovillanovan_Martinsicuro_R1
14.79712810 EMBA_Croatia_I4331
15.13495292 BronzeAgeDalmatian_I4332
15.55813292 BronzeAgeEngland_I2462
15.68644000 HallstattCelt_DA111
16.03238909 IA_Castel_di_Decima_R1016
16.12318517 Scythian_SCY311
17.39346429 BeakerNorthItaly_I2478
17.55670812 BR2_Hungary
20.08859129 MedievalHungarian_DA199
20.20708292 UneticeBellBeaker_RISE577
21.99053887 MBA_Portugal_MG104
22.25140894 MBA_Portugal_TV3831
22.54127104 NorthItalian_HGDP01171


Target: yo
Distance: 0.2708% / 0.27084280
19.2 IberiaMBA_ATP9
15.2 BeakerNorthItaly_I2478
14.0 BronzeAgeOuterHebrides_I2655
5.4 MBA_Portugal_TV32032
5.0 Canaanite_ERS1790729
5.0 SimadelAngel_LU339
3.6 JordanEBA_I1705
3.4 BronzeAgeOrkneyIslander_I2981
3.2 ScythianMoldova_SCY300
3.0 HallstattCelt_DA111
3.0 MENA_GladiatorYork_3DRIF26
2.6 Mota1
2.0 Andronovo_RISE503
1.6 CovachadelAngel_COV20126
1.6 Kangju_DA125
1.6 KaramanKalehoyuk_MA2206
1.4 Srubnaya_I0232
1.2 WC1_Iran
0.8 AnatolianEF_I0709
0.8 IA_Civitavecchia_R473
0.6 AnatoliaEarlyNeolithic_Tep003
0.6 IberiaChalcolithic_I1303
0.6 LateBronzeAgeScotland
0.4 Andronovo_RISE505
0.4 Hoabinhian_LA368
0.4 IberiaChalcolithic_I1281
0.4 IA_Etruscan_Veio_Grotta_Gramiccia_R1015

K15 updated

Distance to: yo
1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria
5.11451855 Spanish_Murcia
5.36121255 Spanish_Castilla_Y_Leon
5.48060216 Spanish_Extremadura
6.28245971 Spanish_Cataluna
6.46001548 Southwest_French
7.51318175 Portuguese
9.48527807 France-South
9.91286538 Spanish_Galicia
10.74507329 Italy_Piedmont
13.42889050 Italy_Aostavalley
14.13487885 Italy_Lombardy
14.68295270 Italy_Veneto
15.02268285 Italy_Trentino
15.08745174 French
15.10080461 Italy_Liguria
15.30748183 Italy_Friuli
15.38689377 French_Basque
17.34184246 Italy_Tuscany
17.74253082 Austria-Tyrol
18.31782192 Italy_Emiliaromagna


Target: yo
Distance: 0.3104% / 0.31035713
37.2 Spanish_Castilla_La_Mancha
27.6 French_Basque
12.4 Spanish_Extremadura
4.6 Sardinian
3.2 Scotland
2.8 Spanish_Cantabria
2.6 Libyan_Jewish
2.4 Orcadian
1.6 Ethiopian_Tigray
1.4 Tabassaran
1.2 Iranian_Mazandarani
0.6 Balochi
0.6 Ethiopian_Ari_cultivator
0.6 Spanish_Galicia
0.4 Italy_Lombardy
0.4 Punjabi_Jat
0.2 Ethiopian_Oromo
0.2 Gujarati

K15 original spreadsheet

Distance to: yo
1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria
5.11451855 Spanish_Murcia
5.36121255 Spanish_Castilla_Y_Leon
5.48060216 Spanish_Extremadura
6.28245971 Spanish_Cataluna
6.46001548 Southwest_French
7.51318175 Portuguese
9.91286538 Spanish_Galicia
12.21257139 North_Italian
15.08745174 French
15.38689377 French_Basque
18.98122230 Tuscan
19.65950915 South_Dutch
23.40298058 Southwest_English
23.69478635 Austrian
23.79265013 Serbian
23.88791745 West_German
24.67042967 Southeast_English
25.00431363 Romanian
25.53682048 East_German
25.53715920 West_Sicilian



Target: yo
Distance: 0.3079% / 0.30789982
44.2 Spanish_Castilla_La_Mancha
23.6 French_Basque
11.0 Spanish_Extremadura
4.8 Orcadian
4.4 Sardinian
4.0 Spanish_Cantabria
1.4 Balochi
1.4 Ethiopian_Tigray
1.4 Tabassaran
1.2 Lebanese_Druze
0.8 Libyan_Jewish
0.6 Ethiopian_Ari_cultivator
0.4 Ethiopian_Oromo
0.4 Kalash
0.2 Algerian_Jewish
0.2 Danish

MDLP K23b
Distance to: yo
5.04035713 Portugese
9.69844833 Spaniard
9.74407512 Spanish_Extremadura_IBS
9.86663570 Spanish_Galicia_IBS
10.35359841 Spanish_Castilla_y_Leon_IBS
10.54917058 French
10.68250439 Spanish_Baleares_IBS
11.05801519 Spanish_Cataluna_IBS
11.10375162 Spanish_Canarias_IBS
12.06133906 Spanish_Murcia_IBS
12.79932029 Italian_Bergamo
13.78981871 Spanish_Andalucia_IBS
14.01480289 Italian_North
14.50588846 Spanish_Valencia_IBS
15.43389776 Welsh
15.49928708 English_Cornwall_GBR
15.78154619 Spanish_Castilla_la_Mancha_IBS
16.35084096 Spanish_Cantabria_IBS
16.43994221 English_Kent_GBR
16.44612416 Italian_Piedmont
16.75236700 Spanish_Aragon_IBS
17.00884476 CEU
17.15200571 British
17.32614210 English
17.85541374 Irish


Target: yo
Distance: 1.2927% / 1.29265676
18.4 Basque_Spanish
16.4 Spanish_Canarias_IBS
12.6 Spanish_Pais_Vasco_IBS
11.2 Kashub
10.4 Lithuanian
9.4 Georgian_Imereti
7.6 Mozabite
4.4 Frisian
4.4 Sardinian
2.6 French_South
1.0 Circassian
1.0 Kalash
0.6 Esomali

No sé por qué me sale en varios que mi distancia más cercana es Castilla La Mancha. Tengo cero antepasados de ahí, cero vinculación. En otros sí me sale Galicia más cerca o Portugal, pero me sorprende lo de Castilla La Mancha pq no hay absolutamente nada de mí ahí.

Bueno, pues a ver qué opináis. Veo que tengo "bastante" sangre arcaica (por aquello del Etiopian Ari Cultivator y similares), y algunos resultados que son algo raros pero está claro que partimos del modelo de las calculadoras antiguas de gedmatch, así que poco que se pueda hacer.

[Erronkari]

Español entonces hermano, no hay más español que el que lo lleva en la sangre.

Muchas gracias estimado!!
Si bien intento ser lo más justo al respecto y sé que para ser español de no haber nacido allí debería haber crecido... para sentir la cultura española como tal.

Pero además de la sangre el sentimiento está y el día que haya que defenderla sería un honor estar ahí.
Muchos en este continente se la pasan desparramando la leyenda negra, inventando brutalidades, pasando del hecho de haber sido parte del Imperio más justo y humano que pudo haber.
Las oligarquías traidoras a España se encargaron no sólo de traicionar a sus antepasados sino de manchar su nombre que es aún peor.
¡Orinaron en sus propias tumbas! Eso no tiene perdón.
Por eso hoy día nos encontramos en sociedades regidas por personas inmorales y sin ninguna lealtad.
Acá en las mal llamadas "fiestas patrias" no sólo ponen la bandra nacional sino también el trapo de la whipala y en algunos casos hasta el falso lienzo masónico de la supuesta bandera mapuche.
Y nadie dice nada.
¿Porqué no la rojigualda o el Aspa de Borgoña, qué son parte de todos nosotros y nos unen a todos en vez de dividirnos a diferencia del resto?
Es simple y sencillo, el enemigo ha hecho estragos.
Y ahora es muy complicado volver atrás, pero bueno, siempre valdrá la pena intentarlo y nunca es tarde!!
Por lo pronto ya me alegra que mis hijos están creciendo con esa idea también y también se sienten a menos un poco parte de España. ;)

[mitalit]

Al final la conclusión a la que he llegado es que 23andme es la mejor pagina para estimar tus orígenes mas o menos "recientes". Los resultados que me dio son los mejores sin duda

[AlfonsoVIII]

Muchas gracias estimado!!
Si bien intento ser lo más justo al respecto y sé que para ser español de no haber nacido allí debería haber crecido... para sentir la cultura española como tal.

Mira compadre, decían los godos Huar ik im, midzani ik im, dzar is ains Gutiksland (donde yo estoy, mientras yo estoy, eso es tierra de godos); el Cid Campeador, héroe de Castilla y de la Hispanidad por antonomasia, en su exilio lejos de su amada Castilla decía que llevo a Castilla en la planta de mis pies. Y según un dicho hispanoamericano España está donde se encuentre un español, y de América nunca se marchó.

Nosotros somos herederos de esa idea. España es la sangre y la cultura de base, no un pedazo de tierra. España estuvo en los cinco continentes, y aún está. Si mañana un grupo de españoles -peninsulares o criollos- nos vamos a Siberia y fundamos una colonia de asentamiento, no nos volvemos rusos por arte de magia. España está donde estemos los españoles, y como ya se ha dicho, de América jamás se fue ni se irá, porque ya es parte insustituible de ese continente.


Pero además de la sangre el sentimiento está y el día que haya que defenderla sería un honor estar ahí.
Muchos en este continente se la pasan desparramando la leyenda negra, inventando brutalidades, pasando del hecho de haber sido parte del Imperio más justo y humano que pudo haber.
Las oligarquías traidoras a España se encargaron no sólo de traicionar a sus antepasados sino de manchar su nombre que es aún peor.
¡Orinaron en sus propias tumbas! Eso no tiene perdón.
Por eso hoy día nos encontramos en sociedades regidas por personas inmorales y sin ninguna lealtad.
Acá en las mal llamadas "fiestas patrias" no sólo ponen la bañera nacional sino también el trapo de la whipala y en algunos casos hasta el falso lienzo masónico de la supuesta bandera mapuche.
Y nadie dice nada.
¿Porqué no la rojigualda o el Aspa de Borgoña, qué son parte de todos nosotros y nos unen a todos en vez de dividirnos a diferencia del resto?
Es simple y sencillo, el enemigo ha hecho estragos.
Y ahora es muy complicado volver atrás, pero bueno, siempre valdrá la pena intentarlo y nunca es tarde!!
Por lo pronto ya me alegra que mis hijos están creciendo con esa idea también y también se sienten a menos un poco parte de España. ;)

Volveremos a ser lo que fuimos compadre, Dios nos unió en esa misión universal. Estamos atravesando un duro paréntesis, pero será sólo eso, un paréntesis.

[Javiberius]

Al final la conclusión a la que he llegado es que 23andme es la mejor pagina para estimar tus orígenes mas o menos "recientes". Los resultados que me dio son los mejores sin duda

I regret analyzing my DNA with AncestryDNA and I’ve should’ve done it with 23andme! Poor decision on my part!

[mitalit]

I regret analyzing my DNA with AncestryDNA and I’ve should’ve done it with 23andme! Poor decision on my part!

23andme me detecta exactamente la cantidad de italiano que tengo y me da bastante poco del norte de Europa (lo normal en un español o incluso menos) identificando esos componentes norteños como ibéricos (de donde yo creo que vienen).

[gixajo]

Os quoteo pq como me asesorásteis para hacer estas calculadoras, por si queréis comentar algo de los resultados (y así que no se pase entre las páginas de este tema sin ser visto).

Bueno, ya tengo hecho los Gedmatch de Vahaduo. Al menos el K13, K15 y el MLDP23. Resulta que soy Tanzano! : "4.18436375 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp" (no, es la 1º distancia q me sale en K13 ancient).
Antes de ponerlos, he hecho solo los Vahaduo gedmatch, ¿se pueden hacer los G25 regional y custom calculators? Si es que sí, ¿qué target tengo que poner en cada una de las calculadoras? Y qué diferencia hay entre "scaled" y "unscaled"?

Aquí van los resultados. Los pongo en Spoiler para que no ocupe tanto. Lo único que me da rabia es que como están basados en las calculadoras antiguas de gedmatch (que seguramente sean del 2015 o por ahí), los resultados son poco fiables porque estas calculadoras de gedmatch son casi la prehistoria en genética.

K13 Ancient


No sé por qué me sale en varios que mi distancia más cercana es Castilla La Mancha. Tengo cero antepasados de ahí, cero vinculación. En otros sí me sale Galicia más cerca o Portugal, pero me sorprende lo de Castilla La Mancha pq no hay absolutamente nada de mí ahí.

Bueno, pues a ver qué opináis. Veo que tengo "bastante" sangre arcaica (por aquello del Etiopian Ari Cultivator y similares), y algunos resultados que son algo raros pero está claro que partimos del modelo de las calculadoras antiguas de gedmatch, así que poco que se pueda hacer.

Ya sabes que siempre algun resultado se sale de madre siempre, los calculadores basados en gedmatch de vahaduo tampoco son lo mejor del mundo, pero bueno ahí están.

Para el G25 tienes que pagar por que te den las coordenadas ahora mismo. 12 dólares. Que yo sepa no hay forma de conseguirlas gratuitamente ahora mismo, pero tampoco sé mucho del tema.

Si quieres ver algún resultado en particular para comparar comenta, por ahora pongo los del k13 y k15 que son las coordenadas que ya tengo preparadas, sobre todo a ver ese que te sale de Zanzíbar. Igual me sale a mí también.

[Javiberius]

23andme me detecta exactamente la cantidad de italiano que tengo y me da bastante poco del norte de Europa (lo normal en un español o incluso menos) identificando esos componentes norteños como ibéricos (de donde yo creo que vienen).

I’m curious, what’s your Eurogenes k36 results?

Is it normal for an iberian to score high North Sea and North Atlantic?

[gixajo]

El ancient k13, en la meor distancia me salen un montón de poblaciones distintas, tampoco me da nada muy lógico.Me sale también Zanzíbar el tercero en la lista de distancias, pero vamos que no parece que nada tenga mucho sentido, simplemente son las muestras antiguas que tienen como source.

K13 ancient

Target: gixajo
Distance: 3.1010% / 3.10095408 | ADC: 1x
59.0 I1297_Bulgaria_MP_N_7817_ybp
15.0 FN2_Germany_Late_Roman.SG_1650_ybp
14.4 I8214_iberia_
11.6 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp

Target: gixajo
Distance: 1.9991% / 1.99906847 | ADC: 0.5x
63.0 I1297_Bulgaria_MP_N_7817_ybp
23.2 I8214_iberia_
11.4 I3590_Germany_Bell_Beaker_4191_ybp
2.0 I10866_iberia_
0.4 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp

Target: gixajo
Distance: 1.2791% / 1.27913119 | ADC: 0.25x
55.6 I1297_Bulgaria_MP_N_7817_ybp
24.8 I8214_iberia_
12.6 I3590_Germany_Bell_Beaker_4191_ybp
5.0 I0461_Iberia_Bell_Beaker_4278_ybp
1.0 I3726_Tanzania_Luxmanda_3100BP_3079_ybp
0.6 Kostenki14_Russia_
0.2 iam_5_N_Africa_5199_5176y_old_
0.2 West_Siberia_I5766

Target: gixajo
Distance: 0.1347% / 0.13472348
15.8 CL145_longobard_north_italy
7.8 I0405_Iberia_MN_5700_ybp
6.2 I5371_Scotland_N_5600_ybp
4.0 c40331_Iberia_LN.SG_5650_ybp
3.6 I2433_Poland_Globular_Amphora_4950_ybp
3.0 I1072_Israel_Raqefet_M_Natufian_12750_ybp
3.0 MBA_Portugal_MG104_Portugal_1740-1430_BC
2.8 Saxtorp5164_Sweden_3945_3647y_old_
2.4 I3874_Beaker_South_France_I3874_F_T2b3_
2.2 BOT15_Botai
2.2 I1540_Germany_Corded_Ware_o_4225_ybp
2.2 I2478_Beaker_North_Italy_I2478_
2.2 LugarCanto44_Iberia_MN.SG_5950_ybp
2.0 I0774_England_Saxon.SG_1483_ybp
2.0 I2403_Poland_Globular_Amphora_4673_ybp
2.0 I7211_Czech_Bell_Beaker_4150_ybp
1.8 grt035_grt035_Sigtuna_10012_century
1.8 MBA_Portugal_TV32032_Portugal_1740-1430_BC
1.6 I12644_Muslim_Iberian_1100_1300_CE_
1.6 I2660_Scotland_N_5383_ybp
1.6 urm035_Sigtuna_M_BCDE_h2a1c_
1.4 I1297_Bulgaria_MP_N_7817_ybp
1.4 SZ22_Longobard_
1.2 I2657_Scotland_N_o_5816_ybp
1.2 I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
1.2 I6623_Iberia_Bell_Beaker_4250_ybp
1.2 Natufian_merged_M041601_
1.0 I5358_Neolithic_Wales_5kya_
1.0 I6751_England_N_5638_ybp
1.0 Kvarlov5164_Sweden_TRB_MN_5746_ybp
0.8 I3875_Beaker_South_France_I3875_2_
0.8 I6762_England_N_5700_ybp
0.8 I7554_Scotland_N_5185_ybp
0.8 R1221_Lazio_Rome_Renaissance_Italy
0.8 RomanSoldier_FN2_Munich_Germany_300_AD
0.8 STR486_Germany_Early_Medieval.SG_1455_ybp
0.6 I1699_Jordan_PPNC_8700_ybp
0.6 I2158_Late_Upper_Paleolithic_Sicilian_hunter_gathe rer_
0.6 JK2134_Egypt_New_Kingdom_3250_ybp
0.6 Pericues3_T784105_
0.6 RISE484_Hungary_Vatya.SG_3700_ybp
0.6 STR220c_Germany_Early_Medieval.SG_1445_ybp
0.6 TOR.8_Iberia_EN_6980_ybp
0.4 copt315_copt315_
0.4 DA119_Slovakia_Poprad_1600_R_U106_U4b3_375_AD_2_
0.4 I1284_Iberia_C_4573_ybp
0.4 I1593_Germany_Blatterhohle_MN_5601_ybp
0.4 I1838_Iberia_C_5099_ybp
0.4 I3135_Scotland_N_5463_ybp
0.4 I6609_Iberia_C_4201_ybp
0.4 I7499_Muslim_Iberian_1000_1100_CE_
0.4 kzb003_Russia_Srubnaya_Alakul.SG_3650_ybp
0.4 R1224_Lazio_Rome_Renaissance_Italy
0.4 scy303_scythian_Moldova_380_203bce_
0.2 3DT26_England_Roman_MiddleEast.SG_1750_ybp
0.2 I1168_Israel_C_5950_ybp
0.2 I1277_Iberia_C_4407_ybp
0.2 I1704_Jordan_PPNB_9202_ybp
0.2 I1875_Croatia_Mesolithic_HG_9118_ybp
0.2 I1903_Hungary_Lengyel_LN_son.I10619.son.I10624.hal fbro.I10620.halfbro.I10621_6600_ybp
0.2 I2932_Neolithic_Orkney_4kya_
0.2 I2933_Neolithic_Orkney_5kya_
0.2 I3581_Andalusia_Visigoth_
0.2 I3726_Tanzania_Luxmanda_3100BP_3079_ybp
0.2 I5232_Serbia_Iron_Gates_HG_o_7901_ybp
0.2 I5759_Switzerland_Bell_Beaker_4178_ybp
0.2 I6601_SW_iberia_CA_I6601_
0.2 I7205_Czech_Bell_Beaker_4200_ybp
0.2 iam_5_N_Africa_5199_5176y_old_
0.2 Iceman_Italy_Iceman_MN.SG_5244_ybp
0.2 JK2888_Egypt_Hellenistic_2000_ybp
0.2 Mota1_Africa_
0.2 por002_Iberia_C.SG_5091_ybp
0.2 Rochedane_France_Rochedane_12960_ybp
0.2 TAN002_Vanuatu_2500BP_2490_ybp

Distance to: gixajo
5.54209347 I1297_Bulgaria_MP_N_7817_ybp
6.17282755 FN2_Germany_Late_Roman.SG_1650_ybp
6.29741217 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
6.39127530 RomanSoldier_FN2_Munich_Germany_300_AD
6.51706222 R37_Lazio_Rome_Roman_Imperial
6.84583815 ValeOuro10207_Iberia_MBA.SG_3550_ybp
7.20762097 R1289_Lazio_Rome_Medieval_Italy
7.41292790 I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
7.51424647 R435b_Lazio_Rome_Roman_Republic
7.87674425 I8339_iberia_
7.97783805 R63_Lazio_Rome_Medieval_Italy
8.21872253 I3759_Celtiberian_I3759_Celtiberian_m_
8.31149204 I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
8.40390385 I8203_iberia_
8.56646952 pir001_Iberia_BA.SG_3725_ybp
8.74776543 I3757_Celtiberian_I3757_Celtiberian_U_
8.98434193 I6539_Iberia_Bell_Beaker_4200_ybp
9.00421568 I0461_Iberia_Bell_Beaker_4278_ybp
9.14293716 I8214_iberia_
9.18558654 esp005_Iberia_BA.SG_3370_ybp
9.22125263 I8209_iberia_
9.24947026 I3758_Celtiberian_U_
9.44820089 Crusader_SI40_Kingdom_of_Jerusalem_
9.48483526 I5665_Iberia_Bell_Beaker_4250_ybp
9.54747611 I10866_iberia_



k13 updated


Target: gixajo
Distance: 1.5801% / 1.58008571
67.8 French_Basque
9.0 Saudi
8.0 Cossacks_Kuban
6.8 Sardinian
6.2 Latvian
1.4 Somali
0.4 Dusadh
0.4 Papuan

Target: gixajo
Distance: 4.4299% / 4.42993053 | ADC: 1x
92.2 Spanish_Cantabria
7.8 Southwest_French

Target: gixajo
Distance: 4.2241% / 4.22413283 | ADC: 0.5x
68.2 Spanish_Cantabria
31.2 Southwest_French
0.6 Somali

Target: gixajo
Distance: 3.3156% / 3.31560895 | ADC: 0.25x
61.6 Southwest_French
21.6 Spanish_Galicia
13.6 French_Basque
2.2 Somali
0.6 Balochi
0.2 Papuan
0.2 Saudi

Distance to: gixajo
4.47476256 Spanish_Cantabria
4.94969696 Southwest_French
6.53212064 Spanish_Castilla_La_Mancha
6.91217766 Spanish_Galicia
7.33265982 Spanish_Aragon
7.38237089 Spanish_Castilla_Y_Leon
8.40199976 Spanish_Cataluna
8.42181097 Spanish_Extremadura
8.92045402 Portuguese
8.98541596 Spanish_Andalucia
9.14169022 Spanish_Valencia
9.27604981 Spanish_Murcia
12.41451570 AostaValley
13.17520778 French
13.64840650 Swiss-Italian
15.04626864 Swiss_Italian
15.54981029 Piedmont
15.58537776 French_Basque
16.26816831 Swiss_French
16.30778342 Trentino
16.98894346 Lombardy
17.36129027 Veneto
17.72955724 Swiss_German
18.92868194 Friuli-VG
18.97834029 South_Dutch




k13 original spredsheet

Target: gixajo
Distance: 1.6737% / 1.67366500
68.0 French_Basque
13.2 Lithuanian
9.2 Saudi
7.0 Sardinian
1.6 Somali
0.6 Kalash
0.4 Papuan

Target: gixajo
Distance: 4.4299% / 4.42993053 | ADC: 1x
92.2 Spanish_Cantabria
7.8 Southwest_French

Target: gixajo
Distance: 4.2241% / 4.22413283 | ADC: 0.5x
68.2 Spanish_Cantabria
31.2 Southwest_French
0.6 Somali

Target: gixajo
Distance: 3.3346% / 3.33455126 | ADC: 0.25x
60.6 Southwest_French
23.0 Spanish_Galicia
13.4 French_Basque
2.2 Somali
0.6 Balochi
0.2 Papuan

Distance to: gixajo
4.47476256 Spanish_Cantabria
4.94969696 Southwest_French
6.53212064 Spanish_Castilla_La_Mancha
6.91217766 Spanish_Galicia
7.33265982 Spanish_Aragon
7.38237089 Spanish_Castilla_Y_Leon
8.40199976 Spanish_Cataluna
8.42181097 Spanish_Extremadura
8.92045402 Portuguese
8.98541596 Spanish_Andalucia
9.14169022 Spanish_Valencia
9.27604981 Spanish_Murcia
13.17520778 French
15.58537776 French_Basque
17.12864560 North_Italian
18.97834029 South_Dutch
19.94465091 West_German
22.30096859 Southwest_English
22.78411508 Southeast_English
24.27163159 Tuscan
25.02480969 Orcadian
25.05265455 Austrian
25.67979751 West_Scottish
25.69507346 Irish
26.66457200 East_German


k15 ancient

Target: gixajo
Distance: 0.5947% / 0.59467193
45.0 BeakerNorthItaly_I2478
14.6 SpaintheChalcolithic_I1300
7.8 JordanEBA_I1705
6.4 CheddarMan
5.2 EarlyBA_PL_N17
3.2 CovachadelAngel_COV20126
3.2 LateNeolithicMorocco_KEB4
3.0 ENAMorocco_IAM5
3.0 MakoCultureHungary_BR1
2.4 Celt_Hinxton1
2.0 BronzeAgeEngland_I2462
1.6 Srubnaya_I0232
1.4 Kotias
0.8 AboriginalAustralian
0.4 Kabardinka_KBD001

Target: gixajo
Distance: 5.6394% / 5.63937982 | ADC: 1x
62.0 RomanSoldier_FN2
22.6 BronzAgeBalkan
15.4 IA_Civitavecchia_R473

Target: gixajo
Distance: 3.7570% / 3.75700668 | ADC: 0.5x
33.2 RomanSoldier_FN2
25.6 IA_Civitavecchia_R473
19.4 BronzAgeBalkan
17.2 BeakerNorthItaly_I2478
4.6 Ostuni1

Target: gixajo
Distance: 2.1250% / 2.12497973 | ADC: 0.25x
27.0 BeakerNorthItaly_I2478
23.0 IA_Civitavecchia_R473
20.4 RomanSoldier_FN2
17.8 BronzAgeBalkan
4.8 Ostuni1
3.8 ENAMorocco_IAM5
2.4 MakoCultureHungary_BR1
0.8 BronzeAgeEngland_I2462



k15 updated

Target: gixajo
Distance: 3.4839% / 3.48394996
41.4 French_Basque
35.0 Spanish_Galicia
7.8 Ukrainian_Lviv
7.4 Spanish_Castilla_Y_Leon
6.2 Sardinian
1.4 Somali
0.4 North_Ossetian
0.4 Papuan

Target: gixajo
Distance: 4.1602% / 4.16019918 | ADC: 1x
81.8 Spanish_Cantabria
18.2 Southwest_French

Target: gixajo
Distance: 3.9541% / 3.95405316 | ADC: 0.5x
51.2 Spanish_Cantabria
34.4 Southwest_French
14.4 Spanish_Castilla_Y_Leon

Target: gixajo
Distance: 3.8128% / 3.81277721 | ADC: 0.25x
43.6 Southwest_French
40.8 Spanish_Cantabria
14.6 Spanish_Castilla_Y_Leon
1.0 Somali


k15 original spredsheet

Target: gixajo
Distance: 3.4839% / 3.48394996
41.4 French_Basque
35.0 Spanish_Galicia
7.8 Ukrainian_Lviv
7.4 Spanish_Castilla_Y_Leon
6.2 Sardinian
1.4 Somali
0.4 North_Ossetian
0.4 Papuan

Target: gixajo
Distance: 4.1602% / 4.16019918 | ADC: 1x
81.8 Spanish_Cantabria
18.2 Southwest_French

Target: gixajo
Distance: 3.9541% / 3.95405316 | ADC: 0.5x
51.2 Spanish_Cantabria
34.4 Southwest_French
14.4 Spanish_Castilla_Y_Leon

Target: gixajo
Distance: 3.8128% / 3.81277721 | ADC: 0.25x
43.6 Southwest_French
40.8 Spanish_Cantabria
14.6 Spanish_Castilla_Y_Leon
1.0 Somali

[PT Tagus]

Que os sale en esta calculadora? http://g25world.genetics.ovh/african-ancestry.htm


Target: PT_Tagus_scaled
Distance: 1.9591% / 0.01959127
93.8 West_Euro
4.0 NorthAfrican
2.2 WestAfrican_Yoruba

[mitalit]

I’m curious, what’s your Eurogenes k36 results?

Is it normal for an iberian to score high North Sea and North Atlantic?
I have a really high north sea

https://i.gyazo.com/2749224fa21da6f258e475a63139080d.png

[Gallop]

De todas formas creo que no se debe confundir las distancias con los "single". Las distancias no son los resultados.

[Javiberius]

I have a really high north sea

https://i.gyazo.com/2749224fa21da6f258e475a63139080d.png

Your North Sea is substantial! Much higher than mines not bad... Iberian, Italian takes the lead, not surprised to see that, but I am surprised of your North Sea. You don’t have any % at all for North Africa!!! Wow!!!

[gixajo]

Estoy flipando...en un calculador antiguo con unas 300 muestras de adn de individuos antiguos me ha salido un 5,2% de un dolmen a 8 km del pueblo de mi madre. la distancia es de cosa del 6% y me sale en décimo lugar de cerca de 300.

He visto que de ese dolmen sacaron restos de 13 personas,de entre el 3100 ac hasta el cuerpo más reciente del 820 ac.

No hay ningún sitio donde mirar las referencias de las muestras?

Edit: sé que no necesariamente implicaría descender de ese individuono? pero ya es casualidad.

[Rocinante]

Dijiste que no tenía iberomauritano y es mentira, no me seas pinocho que te crecerá verrugas en los dedos de tus manos. Y qué me dices de Anatolia?
A mi me parece una tribu difícil de tratar ese Natufian, para los ibéricos es importante no haya conflicto africaner.
Las distancias varían de un modelo a otro, en el tuyo son así.

A veeeeer hombre... Que nos estamos enredando aqui los dos.


The Taforalt genomes were found to be composed of three major components: a Holocene Levantine component, a Hadza hunter-gatherer component from Tanzania, and a West African component. The Taforalt individuals show closest genetic affinity for ancient Epipaleolithic Natufian individuals, with slightly better affinity for the Natufians than later Neolithic Levantines. A two-way admixture scenario using Natufian and modern West African samples as reference populations inferred that the Taforalt individuals bore 63.5% Natufian-related and 36.5% West African-related ancestries, with no evidence for additional gene flow from the Epigravettian culture of Upper Paleolithic Europe. The Taforalt individuals also show evidence of limited Neanderthal ancestry.


According to ancient DNA analyses conducted by Lazaridis et al. (2016) on Natufian skeletal remains from present-day northern Israel, the Natufians carried the Y-DNA (paternal) haplogroups E1b1b1b2(xE1b1b1b2a,E1b1b1b2b) (2/5; 40%), CT (2/5; 40%), and E1b1(xE1b1a1,E1b1b1b1) (1/5; 20%).[27][43] In terms of autosomal DNA, these Natufians carried around 50% of the Basal Eurasian (BE) and 50% of Western Eurasian Unknown Hunter Gather (UHG) components. However, they were slightly distinct from the northern Anatolian populations that contributed to the peopling of Europe, who had higher Western Hunter Gatherer (WHG) inferred ancestry. Natufians were strongly genetically differentiated[44] from Neolithic Iranian farmers from the Zagros Mountains, who were a mix of Basal Eurasians (up to 62%) and Ancient North Eurasians (ANE).


GD13a is genetically closest to the ancient Caucasus Hunter-Gatherers identified from human remains from Georgia (Satsurblia Cave and Kotias Klde), while also sharing genetic affinities with the people of the Yamna culture and the Afanasevo culture. She belonged to a population that was genetically distinct from the Neolithic Anatolian farmers. In terms of modern populations, she shows some genetic affinity with the Baloch people, Makrani caste and Brahui people due to Ancient Caucasus Hunter-Gatherer ancestry found in some indians , in actuality they are the closest to modern Zoroastrians in Iran. Her population did not contribute very much genetically to modern Europeans.

GD13a = Ganj Dareh

Muchos tienen que ver entre ellos, si, pero lo que te estoy diciendo es que no necesariamente es lo mismo. Si pones en un PCA, por supuesto que Ganj Dareh va a estar mas cerca de Yamnaya que de WHG, o Barcin mas cerca de Natufian que de Taforalt, y por eso es que te marca lo que te marca, pero la cuestion es que mientras mas lejos de distancia esten, mas puros van a ser. Tienes que trazar una linea de por medio, tampoco vas a buscar estas muestras puras modelando con poblaciones que no son correctas.

Yo me entiendo, y comprendo que tu no porque esto lo hice yo y al final puedo no tener razon.

[Javiberius]

Here’s my K36: https://imgur.com/Op9E4Pm

[Rocinante]

Os quoteo pq como me asesorásteis para hacer estas calculadoras, por si queréis comentar algo de los resultados (y así que no se pase entre las páginas de este tema sin ser visto).

Bueno, ya tengo hecho los Gedmatch de Vahaduo. Al menos el K13, K15 y el MLDP23. Resulta que soy Tanzano! : "4.18436375 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp" (no, es la 1º distancia q me sale en K13 ancient).
Antes de ponerlos, he hecho solo los Vahaduo gedmatch, ¿se pueden hacer los G25 regional y custom calculators? Si es que sí, ¿qué target tengo que poner en cada una de las calculadoras? Y qué diferencia hay entre "scaled" y "unscaled"?

Aquí van los resultados. Los pongo en Spoiler para que no ocupe tanto. Lo único que me da rabia es que como están basados en las calculadoras antiguas de gedmatch (que seguramente sean del 2015 o por ahí), los resultados son poco fiables porque estas calculadoras de gedmatch son casi la prehistoria en genética.

K13 Ancient



Distance to: yo
4.18436375 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
5.66392973 CL94_Italy_Langobard_1345_ybp
5.80337833 R435b_Lazio_Rome_Roman_Republic
6.01516417 Crusader_SI40_Kingdom_of_Jerusalem_
6.15576965 R109_Lazio_Rome_Italy_Late_Antiquity
6.23756363 R63_Lazio_Rome_Medieval_Italy
7.17548605 I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
7.39365945 R474b_Civitavecchia_Etruscan._Iron_Age
7.93994962 R110_Lazio_Rome_Italy_Late_Antiquity
7.95462758 R1289_Lazio_Rome_Medieval_Italy
7.99976875 I12516_iberia_
8.03566425 FN2_Germany_Late_Roman.SG_1650_ybp
8.22201314 E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
8.25453815 I12649_low_quality_
8.49894111 R1021_Lazio_Frosinone_Iron_Age_Latini
8.63990162 I1297_Bulgaria_MP_N_7817_ybp
8.90219074 I8339_iberia_
8.92941767 RISE373_Hungary_Maros.SG_3741_ybp
9.42542307 I3590_Germany_Bell_Beaker_4191_ybp
9.62069644 ScythianMoldova_SCY300_Moldova_397-209_BC
9.63588086 I10866_iberia_
9.70300469 I8203_iberia_
9.75431699 I5520_Germany_Bell_Beaker_4250_ybp
10.04891039 I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
10.05982604 I7498_Muslim_Iberian_1000_1100_CE_E1b1b1a1b1a_H3a1 _


Target: yo
Distance: 0.0858% / 0.08576363
11.6 I0160_England_IA.SG_1995_ybp
8.2 I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
4.4 Pericues3_T784105_
3.8 I3807_morisco_
3.8 Kvarlov5164_Sweden_TRB_MN_5746_ybp
3.8 Saxtorp5164_Sweden_3945_3647y_old_
3.6 I3130_Scotland_LBA_2854_ybp
3.0 I2441_Poland_Globular_Amphora_5050_ybp
2.2 I2618_England_CA_EBA_3993_ybp
2.2 I6759_England_N_5536_ybp
2.0 grt035_grt035_Sigtuna_10012_century
2.0 Hinxton_4_Cambridgshire_UK_2000_years_M_R_DF25_H1a g1_
2.0 I1388_France_Bell_Beaker_lowSteppe_4246_ybp
2.0 I2478_Beaker_North_Italy_I2478_
1.8 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
1.8 I9041_Greece_Mycenaean_3250_ybp
1.8 R44_Lazio_Rome_Roman_Imperial
1.6 I1284_Iberia_C_4573_ybp
1.6 I2425_Bulgaria_Late_C_6515_ybp
1.6 I2600_England_CA_EBA_daughter_o_I2457_3990_ybp
1.4 I2657_Scotland_N_o_5816_ybp
1.4 I3582_Andalusia_Visigoth_
1.4 Sidon_BA_ERS1790729_
1.2 I2433_Poland_Globular_Amphora_4950_ybp
1.2 I2630_Scotland_N_4472_ybp
1.2 I5950_Ethiopia_4500BP.SG_4472_ybp
1.2 R973_Lazio_Rome_Renaissance_Italy
1.0 I2659_Scotland_N_5652_ybp
1.0 I3581_Andalusia_Visigoth_
0.8 I10866_iberia_
0.8 I3874_Beaker_South_France_I3874_F_T2b3_
0.8 I5117_Hungary_LCA_4550_ybp
0.8 I7425_morisco_
0.8 MBA_Portugal_MG104_Portugal_1740-1430_BC
0.8 MBA_Portugal_TV32032_Portugal_1740-1430_BC
0.8 ScythianMoldova_SCY300_Moldova_397-209_BC
0.8 SZ19_Hungary_Langobard_1463_ybp
0.6 3DT26_England_Roman_MiddleEast.SG_1750_ybp
0.6 6DT3_England_Roman.SG_1750_ybp
0.6 DA125_Kazakhstan_Kangju.SG_1724_ybp
0.6 Hinxton_3_Cambridgshire_UK_1300_years_F_K1a4a1a2b_
0.6 I0022_Germany_LBK_EN_7125_ybp
0.6 I1160_Israel_C_5950_ybp
0.6 I1164_Israel_C_5950_ybp
0.6 I2660_Scotland_N_5383_ybp
0.6 I3269_Iberia_C_5000_ybp
0.6 I3313_Croatia_Early_IA_2733_ybp
0.6 I7041_Hungary_BA_brother.I7043_4300_ybp
0.6 urm035_Sigtuna_M_BCDE_h2a1c_
0.4 84035_Sigtuna_10_12_century_f_h2a3a_
0.4 copt315_copt315_
0.4 gun012_Canary_Islands_Guanche_mummy.SG_1329_ybp
0.4 I1662_Iran_Seh_Gabi_C_6672_ybp
0.4 I2358_Hungary_Tisza_LN_6700_ybp
0.4 I2440_Poland_Globular_Amphora_4950_ybp


K13 updated

Distance to: yo
2.99489566 Spanish_Extremadura
3.04070715 Spanish_Castilla_La_Mancha
3.41985380 Spanish_Andalucia
3.81112844 Spanish_Castilla_Y_Leon
3.88527991 Spanish_Murcia
3.98647714 Portuguese
4.10186543 Spanish_Galicia
4.25268151 Spanish_Cataluna
4.50057774 Spanish_Valencia
5.08190909 Spanish_Cantabria
6.52441568 Spanish_Aragon
7.69914281 Southwest_French
8.60656145 AostaValley
8.74129853 Swiss-Italian
10.20264181 Swiss_Italian
10.29564471 Piedmont
11.28507421 Lombardy
11.66140643 French
11.85374624 Trentino
11.95058576 Veneto
13.38471143 Liguria
13.95388835 Swiss_French
13.97459481 Friuli-VG
14.42868324 Emilia
15.91884418 Tuscany


Target: yo
Distance: 0.4608% / 0.46084972
32.2 Spanish_Castilla_La_Mancha
14.4 French_Basque
10.2 Spanish_Aragon
7.8 South_Dutch
6.4 Spanish_Andalucia
4.8 Sardinian
4.4 North-Dutch
4.2 Swiss_Italian
3.6 AostaValley
1.8 Moroccan_Jew
1.4 Balochi
1.4 Sardinia
1.4 Kurd_Iran
1.0 Mozabite_Berber
1.0 Southwest_French
0.6 Iranian_Jewish
0.6 Sudanese
0.4 Ethiopian_Ari_cultivator
0.4 Southwest_English

K13 original spreadsheet
Distance to: yo
2.99489566 Spanish_Extremadura
3.04070715 Spanish_Castilla_La_Mancha
3.41985380 Spanish_Andalucia
3.81112844 Spanish_Castilla_Y_Leon
3.88527991 Spanish_Murcia
3.98647714 Portuguese
4.10186543 Spanish_Galicia
4.25268151 Spanish_Cataluna
4.50057774 Spanish_Valencia
5.08190909 Spanish_Cantabria
6.52441568 Spanish_Aragon
7.69914281 Southwest_French
11.37010994 North_Italian
11.66140643 French
18.41301713 Tuscan
18.51790215 South_Dutch
18.78880518 West_German
19.39661053 French_Basque
23.29175820 Southeast_English
23.54872183 Southwest_English
24.32008635 Austrian
24.94141937 Serbian
24.97534785 Romanian
25.93897454 Orcadian
26.00161918 West_Sicilian


Target: yo
Distance: 0.4594% / 0.45935893
44.2 Spanish_Castilla_La_Mancha
12.2 French_Basque
11.8 Spanish_Andalucia
8.4 South_Dutch
5.0 Sardinian
3.8 Danish
2.4 Spanish_Aragon
2.0 Tuscan
1.6 Iranian_Jewish
1.4 Balochi
1.4 Sephardic_Jewish
1.4 Southwest_French
1.2 Southwest_English
0.8 Ethiopian_Anuak
0.6 Tunisian
0.4 Selkup
0.2 Cyprian

K15 Ancient
Distance to: yo
7.51044606 BronzAgeBalkan
9.54472629 IA_Civitavecchia_R473
10.29272559 ScythianMoldova_SCY300
10.30937437 IA_Prenestina_Colombella_R435
10.39204985 IA_Civitavecchia_R474
11.08407416 IA_Boville_Ernica_R1021
11.48697088 ScythianMoldova_SCY197
11.87264082 RomanSoldier_FN2
13.36105161 Vucedol_I3499
14.37061237 IA_Etruscan_Veio_Grotta_Gramiccia_R1015
14.42875254 IA_Ardea_R851
14.44169658 IA_Protovillanovan_Martinsicuro_R1
14.79712810 EMBA_Croatia_I4331
15.13495292 BronzeAgeDalmatian_I4332
15.55813292 BronzeAgeEngland_I2462
15.68644000 HallstattCelt_DA111
16.03238909 IA_Castel_di_Decima_R1016
16.12318517 Scythian_SCY311
17.39346429 BeakerNorthItaly_I2478
17.55670812 BR2_Hungary
20.08859129 MedievalHungarian_DA199
20.20708292 UneticeBellBeaker_RISE577
21.99053887 MBA_Portugal_MG104
22.25140894 MBA_Portugal_TV3831
22.54127104 NorthItalian_HGDP01171


Target: yo
Distance: 0.2708% / 0.27084280
19.2 IberiaMBA_ATP9
15.2 BeakerNorthItaly_I2478
14.0 BronzeAgeOuterHebrides_I2655
5.4 MBA_Portugal_TV32032
5.0 Canaanite_ERS1790729
5.0 SimadelAngel_LU339
3.6 JordanEBA_I1705
3.4 BronzeAgeOrkneyIslander_I2981
3.2 ScythianMoldova_SCY300
3.0 HallstattCelt_DA111
3.0 MENA_GladiatorYork_3DRIF26
2.6 Mota1
2.0 Andronovo_RISE503
1.6 CovachadelAngel_COV20126
1.6 Kangju_DA125
1.6 KaramanKalehoyuk_MA2206
1.4 Srubnaya_I0232
1.2 WC1_Iran
0.8 AnatolianEF_I0709
0.8 IA_Civitavecchia_R473
0.6 AnatoliaEarlyNeolithic_Tep003
0.6 IberiaChalcolithic_I1303
0.6 LateBronzeAgeScotland
0.4 Andronovo_RISE505
0.4 Hoabinhian_LA368
0.4 IberiaChalcolithic_I1281
0.4 IA_Etruscan_Veio_Grotta_Gramiccia_R1015

K15 updated

Distance to: yo
1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria
5.11451855 Spanish_Murcia
5.36121255 Spanish_Castilla_Y_Leon
5.48060216 Spanish_Extremadura
6.28245971 Spanish_Cataluna
6.46001548 Southwest_French
7.51318175 Portuguese
9.48527807 France-South
9.91286538 Spanish_Galicia
10.74507329 Italy_Piedmont
13.42889050 Italy_Aostavalley
14.13487885 Italy_Lombardy
14.68295270 Italy_Veneto
15.02268285 Italy_Trentino
15.08745174 French
15.10080461 Italy_Liguria
15.30748183 Italy_Friuli
15.38689377 French_Basque
17.34184246 Italy_Tuscany
17.74253082 Austria-Tyrol
18.31782192 Italy_Emiliaromagna


Target: yo
Distance: 0.3104% / 0.31035713
37.2 Spanish_Castilla_La_Mancha
27.6 French_Basque
12.4 Spanish_Extremadura
4.6 Sardinian
3.2 Scotland
2.8 Spanish_Cantabria
2.6 Libyan_Jewish
2.4 Orcadian
1.6 Ethiopian_Tigray
1.4 Tabassaran
1.2 Iranian_Mazandarani
0.6 Balochi
0.6 Ethiopian_Ari_cultivator
0.6 Spanish_Galicia
0.4 Italy_Lombardy
0.4 Punjabi_Jat
0.2 Ethiopian_Oromo
0.2 Gujarati

K15 original spreadsheet

Distance to: yo
1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria
5.11451855 Spanish_Murcia
5.36121255 Spanish_Castilla_Y_Leon
5.48060216 Spanish_Extremadura
6.28245971 Spanish_Cataluna
6.46001548 Southwest_French
7.51318175 Portuguese
9.91286538 Spanish_Galicia
12.21257139 North_Italian
15.08745174 French
15.38689377 French_Basque
18.98122230 Tuscan
19.65950915 South_Dutch
23.40298058 Southwest_English
23.69478635 Austrian
23.79265013 Serbian
23.88791745 West_German
24.67042967 Southeast_English
25.00431363 Romanian
25.53682048 East_German
25.53715920 West_Sicilian



Target: yo
Distance: 0.3079% / 0.30789982
44.2 Spanish_Castilla_La_Mancha
23.6 French_Basque
11.0 Spanish_Extremadura
4.8 Orcadian
4.4 Sardinian
4.0 Spanish_Cantabria
1.4 Balochi
1.4 Ethiopian_Tigray
1.4 Tabassaran
1.2 Lebanese_Druze
0.8 Libyan_Jewish
0.6 Ethiopian_Ari_cultivator
0.4 Ethiopian_Oromo
0.4 Kalash
0.2 Algerian_Jewish
0.2 Danish

MDLP K23b
Distance to: yo
5.04035713 Portugese
9.69844833 Spaniard
9.74407512 Spanish_Extremadura_IBS
9.86663570 Spanish_Galicia_IBS
10.35359841 Spanish_Castilla_y_Leon_IBS
10.54917058 French
10.68250439 Spanish_Baleares_IBS
11.05801519 Spanish_Cataluna_IBS
11.10375162 Spanish_Canarias_IBS
12.06133906 Spanish_Murcia_IBS
12.79932029 Italian_Bergamo
13.78981871 Spanish_Andalucia_IBS
14.01480289 Italian_North
14.50588846 Spanish_Valencia_IBS
15.43389776 Welsh
15.49928708 English_Cornwall_GBR
15.78154619 Spanish_Castilla_la_Mancha_IBS
16.35084096 Spanish_Cantabria_IBS
16.43994221 English_Kent_GBR
16.44612416 Italian_Piedmont
16.75236700 Spanish_Aragon_IBS
17.00884476 CEU
17.15200571 British
17.32614210 English
17.85541374 Irish


Target: yo
Distance: 1.2927% / 1.29265676
18.4 Basque_Spanish
16.4 Spanish_Canarias_IBS
12.6 Spanish_Pais_Vasco_IBS
11.2 Kashub
10.4 Lithuanian
9.4 Georgian_Imereti
7.6 Mozabite
4.4 Frisian
4.4 Sardinian
2.6 French_South
1.0 Circassian
1.0 Kalash
0.6 Esomali

No sé por qué me sale en varios que mi distancia más cercana es Castilla La Mancha. Tengo cero antepasados de ahí, cero vinculación. En otros sí me sale Galicia más cerca o Portugal, pero me sorprende lo de Castilla La Mancha pq no hay absolutamente nada de mí ahí.

Bueno, pues a ver qué opináis. Veo que tengo "bastante" sangre arcaica (por aquello del Etiopian Ari Cultivator y similares), y algunos resultados que son algo raros pero está claro que partimos del modelo de las calculadoras antiguas de gedmatch, así que poco que se pueda hacer.

Lo primero, muchisimas gracias por unirte a nosotros y a este hilo compartiendo tus resultados.

Bueno, echandole un ojo a tu K13 y K15 updates (los viejos ni vale la pena verlos), pues estas en la media española, pero no gallega, sorprendentemente. Debes tener mucho WHG, como buen castellano, para sacar de primero esto:

1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria

Es extraño pero bastante posible, ya confirmado con las muestras gallegas del G25, lo que prueba una vez mas que la poblacion española se ha estado mezclado entre ella desde mucho tiempo. Ojo, hago esta suposicion desde mi ignorancia porque no se que te pueda sacar el G25, pero seguro que tu primera poblacion va a ser una Castilla o algo tirando mas al Este, que el Occidente, por lo que tiene pinta.

Estas bastante en el average, y esas poblaciones pequeñas de african no se que, eso en el G25 desaparece para la mayoria, es ruido de calculadora, gedmatch no funciona tampoco como un reloj suizo, por asi decirlo.

[Rocinante]

Yo me sumo.
No español, hispanodescendiente pero me sumo con todo gusto.

Alfonso VIII no lo pudo haber explicado mejor, pero te lo va a decir un venezolano que se siente español como el que mas:

Eres español de cojones.

Ademas, que eres mas vasco que los vascos, que es lo mas interesante de ti, te lo digo enserio. Esto ya te lo he dicho muchisimas veces, pero los resultados mas interesantes de los miembros de este foro son los tuyos, un G25 tuyo seria flipante.

Saludos compadre, un gustazo saber que cada vez estas regresando de nuevo a TA.

[Gallop]

https://1.bp.blogspot.com/-mK7e8fRT8Vw/Xo4pWnB7ZfI/AAAAAAAADX4/NlYK8utU5twMWndPxtxwvg-38hY9TIIrgCLcBGAsYHQ/s640/CAZADORrecolector.jpeg

https://1.bp.blogspot.com/-7A_dR6uQTyE/Xo4paxVm1HI/AAAAAAAADX8/SfcUhMlbmpAmOqP4wg0Kzbtn6_QYLDmhwCLcBGAsYHQ/s1600/v2K15.JPEG

Un par de resultados míos.

[gixajo]

ya puse las coordenadas del MDLP k32b.


Target: gixajo
Distance: 5.0761% / 5.07609694
45.0 Sardinian
28.0 Lithuanian
23.8 Basque_Spanish
2.4 Mozabite
0.6 BedouinB
0.2 Pulliyar

Target: gixajo
Distance: 7.6853% / 7.68527990 | ADC: 1x
52.8 Spanish_Cantabria_IBS
47.2 Spanish_Cataluna_IBS

Target: gixajo
Distance: 7.6848% / 7.68481298 | ADC: 0.5x
51.8 Spanish_Cantabria_IBS
48.2 Spanish_Cataluna_IBS

[Erronkari]

Alfonso VIII no lo pudo haber explicado mejor, pero te lo va a decir un venezolano que se siente español como el que mas:

Eres español de cojones.

Ademas, que eres mas vasco que los vascos, que es lo mas interesante de ti, te lo digo enserio. Esto ya te lo he dicho muchisimas veces, pero los resultados mas interesantes de los miembros de este foro son los tuyos, un G25 tuyo seria flipante.

Saludos compadre, un gustazo saber que cada vez estas regresando de nuevo a TA.

Jajaja muchas gracias amigo!! :D
Y un dato curioso que se me había olvidado comentar, que Luzaide, el pueblo navarro de dónde viene la mayor parte de mi familia, está prácticamente de espaldas al lugar de dónde se habría dado la emboscada de Roncesvalles. Parece broma pero es así!!
Ojala pueda ir algún día con mis hijos.
Sería mágico realmente!! :D


https://youtu.be/ZoDXqJUoI70

[gixajo]

Un par de resultados míos.

Los míos.

https://i.imgur.com/LGohbnT.png

https://i.imgur.com/BDyRVyU.png

[gixajo]

Jajaja muchas gracias amigo!! :D
Y un dato curioso que se me había olvidado comentar, que Luzaide, el pueblo navarro de dónde viene la mayor parte de mi familia, está prácticamente de espaldas al lugar de dónde se habría dado la emboscada de Roncesvalles. Parece broma pero es así!!
Ojala pueda ir algún día con mis hijos.
Sería mágico realmente!! :D



Conozco las dos zonas de las que comentaste que viene tu familia Navarra, son dos zonas con un carácter muy diferente una de otra, pero es que sobre todo la zona de Valcarlos, es muy especial por los edificios, la otra zona que comentaste , el valle del Roncal lo conozco mejor, pero más que tu pueblo, el pueblo de Isaba.

Una prima mía estuvo casada y tiene hijos con uno de ese pueblo, y yo he ido bastante por esos montes, de hecho he invadido a Francia varias veces saliendo de Isaba :picard1:

[PT Tagus]

https://i.imgur.com/h6RiWI0.png

https://i.imgur.com/5nKx9Ns.png

[gixajo]

Pues ni idea
Es que ponía scaled, y en realidad era unescaled...:picard2:

Target: gixajo
Distance: 0.6785% / 0.00678530
46.0 IBERIAN
11.0 CELTIC
10.8 CELTIBERIAN
9.8 PROTO-BERBERS
8.8 GERMANIC
4.6 MAGNAE_GRECIA_HELLENS
2.2 THRACIAN
1.8 INDO-ARYAN
1.4 ANATOLIAN_PEOPLE
1.0 SAKA_STEPPE_IRANIC
0.8 BANTU_NILOTIC_MIX_SSA
0.8 SIBERIAN-ALTAI_TRIBES
0.6 SARMATIAN_URALS_IRANIC
0.4 PRE-HELLENIC_ANATOLIAN_PEOPLE

[Javiberius]

Es que ponía scaled, y en realidad era unescaled...:picard2:

Target: gixajo
Distance: 0.6785% / 0.00678530
46.0 IBERIAN
11.0 CELTIC
10.8 CELTIBERIAN
9.8 PROTO-BERBERS
8.8 GERMANIC
4.6 MAGNAE_GRECIA_HELLENS
2.2 THRACIAN
1.8 INDO-ARYAN
1.4 ANATOLIAN_PEOPLE
1.0 SAKA_STEPPE_IRANIC
0.8 BANTU_NILOTIC_MIX_SSA
0.8 SIBERIAN-ALTAI_TRIBES
0.6 SARMATIAN_URALS_IRANIC
0.4 PRE-HELLENIC_ANATOLIAN_PEOPLE

Which calculator do you get these results from for Vahaduo?

[Defcon2]

Os gano en mediterraaaneaaan enserio necesito un meme sobre ese mar :picard1:, y el south Asían haciendo de las suyas, ¡un 4%!.

https://i.imgur.com/MEmIycJ.png
https://i.imgur.com/ebuEQuU.png

[gixajo]

Which calculator do you get these results from for Vahaduo?

Use unescaled coordinates.

https://www.theapricity.com/forum/showthread.php?316785-BIG-IRON-AGE-CALCULATOR-by-Andre-SCALED

[gixajo]

Os gano en mediterraaaneaaan enserio necesito un meme sobre ese mar :picard1:, y el south Asían haciendo de las suyas, ¡un 4%!.

]

A mí siempre hay alguien que me gane en algo, soy bastante medianía, como Superlópez.

Solo ganaba a WHG y me robaste mi triunfo...no te lo perdono.

[Javiberius]

Use unescaled coordinates.

https://www.theapricity.com/forum/showthread.php?316785-BIG-IRON-AGE-CALCULATOR-by-Andre-SCALED

I went to the link and saw a bunch of codes...what does it all mean and how do I get my results from it? I’m confused

[gixajo]

I went to the link and saw a bunch of codes...what does it all mean and how do I get my results from it? I’m confused

Vas a cualquier calculadora de Vahaduo para G25, borras todos los Source y pegas ahí los que vienen en la lista de ese thread, luego vas a target y pones tus coordenadas G25, en este caso las unescaled.

Luego a Single , el resultado que puse aquí es el de menor distancia ADD DIST COL : No.

Yo suelo ir a este que tiene pocas poblaciones en source y se borran más rápido: http://g25vahaduo.genetics.ovh/Andre%20Turkish%20Calculator.htm

[Defcon2]

A mí siempre hay alguien que me gane en algo, soy bastante medianía, como Superlópez.

Solo ganaba a WHG y me robaste mi triunfo...no te lo perdono.

Esa calculadora fue un anti-gixajo sin ser un anti-gixajo, es decir un marrajo.

[Javiberius]

Vas a cualquier calculadora de Vahaduo para G25, borras todos los Source y pegas ahí los que vienen en la lista de ese thread, luego vas a target y pones tus coordenadas G25, en este caso las unescaled.

Luego a Single , el resultado que puse aquí es el de menor distancia ADD DIST COL : No.

Yo suelo ir a este que tiene pocas poblaciones en source y se borran más rápido: http://g25vahaduo.genetics.ovh/Andre%20Turkish%20Calculator.htm

GRACIAS

[Rocinante]

Jajaja muchas gracias amigo!! :D
Y un dato curioso que se me había olvidado comentar, que Luzaide, el pueblo navarro de dónde viene la mayor parte de mi familia, está prácticamente de espaldas al lugar de dónde se habría dado la emboscada de Roncesvalles. Parece broma pero es así!!
Ojala pueda ir algún día con mis hijos.
Sería mágico realmente!! :D


https://youtu.be/ZoDXqJUoI70

Que bonito ese pueblo compadre! Muy tipico de esas zonas, no he podido pasear ni en Euskadi ni Navarra a pie, pero se parecen muchisimo a los pueblos gallegos y asturianos (aunque tienen su magia propia sobretodo en las estructuras de las casas).

Ojala puedas traer a conocer la tierra de la que tus hijos llevan en la sangre compadre, claro que si.

[Defcon2]

Hablando de rarezas este es el promedio de todas las muestras españolas y portuguesas.

La contribución africana (norte y SSA) es muy baja tratándose de un promedio, en comparación los usuarios que he visto suelen tener más y después de ver a Celtibero más baja me parece. Puede tratarse de una sobrerrepresentacion de muestras catalanas.

https://i.postimg.cc/W1dg7PxM/promediso.png
https://i.postimg.cc/nhN7RPtN/promioedio.png

[Rocinante]

Hablando de rarezas este es el promedio de todas las muestras españolas y portuguesas.

La contribución africana (norte y SSA) es muy baja tratándose de un promedio, en comparación los usuarios que he visto suelen tener más y después de ver a Celtibero más baja me parece. Puede tratarse de una sobrerrepresentacion de muestras catalanas.

https://i.postimg.cc/W1dg7PxM/promediso.png
https://i.postimg.cc/nhN7RPtN/promioedio.png

No entendi muy bien lo que quisiste decir o plantear xD ni las 2 imagenes picadas.

[Defcon2]

No entendi muy bien lo que quisiste decir o plantear xD ni las 2 imagenes picadas.

Esos numeros indican el promedio de todas las muestras españolas en G25.

Que el promedio africano es bajo en las muestras españolas, me he atrevido a contarlas así por encima y de las 225 en total al menos 130 son catalanas/valencianas/balearicas!

[gixajo]

Esa calculadora fue un anti-gixajo sin ser un anti-gixajo, es decir un marrajo.

Eres todo un poeta.

[Defcon2]

Eres todo un poeta.

Es dificil hacer rimas con tu nick, kavronzete.

[Rocinante]

Esos numeros indican el promedio de todas las muestras españolas en G25.

Que el promedio africano es bajo en las muestras españolas, me he atrevido a contarlas así por encima y de las 225 en total al menos 130 son catalanas/valencianas/balearicas!

Yo siempre quito las muestras provinciales, porque va a distorsionar el promedio, igual quito los de Soria, que pareciera que aterrizaron los vikingos ahi.

Con mi modelo, el promedio seria:

Barcin = 53.8%
Samara = 28.5%
WHG = 12.9%
Taforalt = 4%
Natufian = 0.5%
Ganj Dareh = 0.2%
Mesolithic SSA = 0.1%
Shar I Sokhta = 0.1%

[gixajo]

Esos numeros indican el promedio de todas las muestras españolas en G25.

Que el promedio africano es bajo en las muestras españolas, me he atrevido a contarlas así por encima y de las 225 en total al menos 130 son catalanas/valencianas/balearicas!

Si las coordenadas referidas a España o portugal, O a Iberia están modeladas con poco norteafricano, el norteafricano sobrante de nuestras coordenadas personales se irá e gran parte a nos lo marcará como norteafricano.

Es decir, depende de cómo sea la población de referencia, nos dará más o menos, tanto en NA como en cualquier otra cosa.

No sé si me explico bien...

Que todo depende con qué referencia nos comparemos...

[Defcon2]

Yo siempre quito las muestras provinciales, porque va a distorsionar el promedio, igual quito los de Soria, que pareciera que aterrizaron los vikingos ahi.

Con mi modelo, el promedio seria:

Barcin = 53.8%
Samara = 28.5%
WHG = 12.9%
Taforalt = 4%
Natufian = 0.5%
Ganj Dareh = 0.2%
Mesolithic SSA = 0.1%
Shar I Sokhta = 0.1%

Steppe + WHG = 45% :D

Target: Spanish_Soria:Soria1
Distance: 3.7684% / 0.03768393
53.2 Anatolia_Barcin_N
29.6 Yamnaya_RUS_Samara
15.2 WHG
1.4 MAR_Iberomaurusian
0.4 Han
0.2 BRA_LapaDoSanto_9600BP

Target: Spanish_Soria:Soria2
Distance: 4.4545% / 0.04454482
54.2 Anatolia_Barcin_N
30.0 Yamnaya_RUS_Samara
14.6 WHG
1.2 MAR_Iberomaurusian

[Rocinante]

Steppe + WHG = 45% :D

Target: Spanish_Soria:Soria1
Distance: 3.7684% / 0.03768393
53.2 Anatolia_Barcin_N
29.6 Yamnaya_RUS_Samara
15.2 WHG
1.4 MAR_Iberomaurusian
0.4 Han
0.2 BRA_LapaDoSanto_9600BP

Target: Spanish_Soria:Soria2
Distance: 4.4545% / 0.04454482
54.2 Anatolia_Barcin_N
30.0 Yamnaya_RUS_Samara
14.6 WHG
1.2 MAR_Iberomaurusian

Hubo algun asentamiento fuerte de poblaciones del Norte en Soria? Capaz me lo estoy perdiendo.

[gixajo]

Cómo que quitas Soria? Soria es un sitio estupendo, ahí es donde más Boletus he cogido...

Viendo esos números, creo que a mí me saldría bastante Soria, se parecen a los míos.

[Defcon2]

Si las coordenadas referidas a España o portugal, O a Iberia están modeladas con poco norteafricano, el norteafricano sobrante de nuestras coordenadas personales se irá e gran parte a nos lo marcará como norteafricano.

Es decir, depende de cómo sea la población de referencia, nos dará más o menos, tanto en NA como en cualquier otra cosa.

No sé si me explico bien...

Que todo depende con qué referencia nos comparemos...

Ese tipo de cosas ocurre con las muestras vascas, que al tener tan poco africano esos nos da a los ibéricos cosas muy raras, me dí cuenta que al incluir Basque_French me aumentaba el SSA.

Me dijeron en el otro foro que evitásemos modelar con referencias vascas y será en parte por eso.

[Rocinante]

Si las coordenadas referidas a España o portugal, O a Iberia están modeladas con poco norteafricano, el norteafricano sobrante de nuestras coordenadas personales se irá e gran parte a nos lo marcará como norteafricano.

Es decir, depende de cómo sea la población de referencia, nos dará más o menos, tanto en NA como en cualquier otra cosa.

No sé si me explico bien...

Que todo depende con qué referencia nos comparemos...

Exacto.

Eso es exactamente lo que hice con mis referencias antiguas.

[Defcon2]

Hubo algun asentamiento fuerte de poblaciones del Norte en Soria? Capaz me lo estoy perdiendo.

Los romanos apenas dejaron huella me parece no? no hubo mano de obra esclava africana por ahí.

[gixajo]

Ese tipo de cosas ocurre con las muestras vascas, que al tener tan poco africano esos nos da a los ibéricos cosas muy raras, me dí cuenta que al incluir Basque_French me aumentaba el SSA.

Me dijeron en el otro foro que evitásemos modelar con referencias vascas y será en parte por eso.

Como base para el Ibérico desde luego, algún guiri animal hizo eso y salían cosas muy raras.

Edit: me refiero al Ibérico como peninsular, no para muestras antiguas.

[mitalit]

Y Murcia que? Poco se habla sobre Murcia y seguro que tienen algo interesante

[Rocinante]

Los romanos apenas dejaron huella me parece no? no hubo mano de obra esclava africana por ahí.

Coño es que todos somos unos gitanos al lado de esos sorianos :lmao

[gixajo]

Los romanos apenas dejaron huella me parece no? no hubo mano de obra esclava africana por ahí.

Bueno...algo de huella si dejaron.

Está Numancia, siguió exisitiendo como población romana después de todo aquello.El arco romano de Medinacelli, Uxama, Augustóbriga, y unas cuantas villas romanas...

[gixajo]

Y Murcia que? Poco se habla sobre Murcia y seguro que tienen algo interesante

Murcia...mmm...

No se me ocurre nada.

Ah si!!!

Cartagena.:D

[PT Tagus]

Y Murcia que? Poco se habla sobre Murcia y seguro que tienen algo interesante

Murcia es la población más cercana que obtuve en Eurogenes K13... jajaja

[Defcon2]

Bueno...algo de huella si dejaron.

Está Numancia, siguió exisitiendo como población romana después de todo aquello.El arco romano de Medinacelli, Uxama, Augustóbriga, y unas cuantas villas romanas...

Tengo un ligero recuerdo de algo llamado defensa numantina no? tenía que ver con resistencia a los romanos me parece.

[gixajo]

Tengo un ligero recuerdo de algo llamado defensa numantina no? tenía que ver con resistencia a los romanos me parece.

Hubo un sitio romano de años para lograr tomar Numancia, una serie de empalizadas y campamentos fortificados romanos rodeando en varios círculos la ciudad , emplearon un montón de hombres para hacer que cayera.No solo para que no salieran, también para evitar ataques por las espalda de otras ciudades o tribus Íberas aliadas .

Se supone que cuando ya estaban los de dentro en las últimas se suicidaron todos antes de que entraran en la ciudad.

[gixajo]

Murcia es la población más cercana que obtuve en Eurogenes K13... jajaja

Es que hay cierta broma en España porque Murcia es una Región española que no tiene una personalidad muy definida, de todas las demás hay estereotipos, pero Murcia pasa como desapercibida, y luego hay mucha rivalidad entre la capital , Murcia y una ciudad dentro de la región de Murcia, que históricamente es más importante aunque con menos población, que es Cartagena, la antigua Cartago Nova fundada por los cartagineses.

[Duffmannn]

Las ruinas de Numancia se pueden visitar, yo he estado.

[gixajo]

Me sorprende un poco que no conocieras lo de Numancia Defcon2.

[Rocinante]

https://cache.eupedia.com/images/content/Iberia-maps.png

Que increible que la distribucion de haplogrupos en España no tengan casi nada que ver con la composicion autosomal de sus habitantes. Tambien me parece impresionante que los vascos no solo abarquen mas DF27, es que tambien L21. De los E-81 que hay aqui, se que Defcon es M34 (si no me equivoco), pero no se si Gallop entre en esos del mapa. Gixajo y Gaditanian serian los españoles con los haplogrupos mas raros, el resto estamos en el average, aunque AlfonsoVIII tiene un R1b no tan comun.

[gixajo]

https://cache.eupedia.com/images/content/Iberia-maps.png

Que increible que la distribucion de haplogrupos en España no tengan casi nada que ver con la composicion autosomal de sus habitantes. Tambien me parece impresionante que los vascos no solo abarquen mas DF27, es que tambien L21. De los E-81 que hay aqui, se que Defcon es M34 (si no me equivoco), pero no se si Gallop entre en esos del mapa. Gixajo y Gaditanian serian los españoles con los haplogrupos mas raros, el resto estamos en el average, aunque AlfonsoVIII tiene un R1b no tan comun.

Bueno, yo soy r1a1a1....por ahora, ya veremos.

Igual compro dos kits de MH para mis padres, estaba preguntando a Iris Selene que pensaba que se lo había hecho hace poco porque acaba de esneñar sus resultados.

¿Habría problemas con lo del coronavirus para recibirlos y mandarlos?

Es que están baratitos...

[Rocinante]

Bueno, yo soy r1a1a1....por ahora, ya veremos.

Igual compro dos kits de MH para mis padres, estaba preguntando a Iris Selene que pensaba que se lo había hecho hace poco porque acaba de esneñar sus resultados.

¿Habría problemas con lo del coronavirus para recibirlos y mandarlos?

Es que están baratitos...

Eres R1a seguro sin ningún problema, a mi ya me enseñaron a comprobar como certificar uno mismo los resultados del Morley, no hay fallo alguno (yo te podría ayudar a comprobarlo si quieres).

Estan baratisimos, yo, la gente que se quisiera testear y no lo ha hecho, este es el momento.

[Defcon2]

Bueno, yo soy r1a1a1....por ahora, ya veremos.

Igual compro dos kits de MH para mis padres, estaba preguntando a Iris Selene que pensaba que se lo había hecho hace poco porque acaba de esneñar sus resultados.

¿Habría problemas con lo del coronavirus para recibirlos y mandarlos?

Es que están baratitos...

Empresas como Amazon hace envíos de manera normal, aunque la situación puede cambiar si empeora la cosa. Infórmate antes desde la web de MH.

[Defcon2]

Me sorprende un poco que no conocieras lo de Numancia Defcon2.

Suspenso en historia la culpa de los profes.

[Erronkari]

Conozco las dos zonas de las que comentaste que viene tu familia Navarra, son dos zonas con un carácter muy diferente una de otra, pero es que sobre todo la zona de Valcarlos, es muy especial por los edificios, la otra zona que comentaste , el valle del Roncal lo conozco mejor, pero más que tu pueblo, el pueblo de Isaba.

Una prima mía estuvo casada y tiene hijos con uno de ese pueblo, y yo he ido bastante por esos montes, de hecho he invadido a Francia varias veces saliendo de Isaba :picard1:

Impresionante!! Eres casi un baqueano en las zonas de dónde es la mayor parte de mi familia, Luzaide/Valcarlos y Erronkari/Roncal.
Y son zonas prepirenaicas que no visita todo el mundo.
Realmente estoy impresionado!!
Espero algún día también poder visitar esos parajes. :D

[gixajo]

Empresas como Amazon hace envíos de manera normal, aunque la situación puede cambiar si empeora la cosa. Infórmate antes desde la web de MH.

No he visto que pongan nada, de otras compañías ya recibí un e-mail diciendo que no hacían tests durante un tiempo. Además igual me llega rápido y lo envío pero el problema llega después, que no llega o hay problemas en la aduana de EEUU por ser muestras biológicas de Europa.

[Erronkari]

Que bonito ese pueblo compadre! Muy tipico de esas zonas, no he podido pasear ni en Euskadi ni Navarra a pie, pero se parecen muchisimo a los pueblos gallegos y asturianos (aunque tienen su magia propia sobretodo en las estructuras de las casas).

Ojala puedas traer a conocer la tierra de la que tus hijos llevan en la sangre compadre, claro que si.

Por lo que he investigado parece ser un lugar de muchas lluvias y muy constantes, por eso se ve tan verde.
Es que es curiosamente el único poblado español que se encuentra en la vertiente norte del pirineo, aunque en realidad es un valle a unos 350mts de altura, por eso el clima es bastante suave a lo que parece, pero sumamente lluvioso, y por eso la comarca se ve muy verde.
Se ve que por su posición está como en una especie de zona de Barlovento que genera mucha lluvia convectiva.
Bueno, eso según lo que pude ver, pero Guixajo es el experto en esto, ya que conoce bien el valle, es todo un baqueano allí. :D

[gixajo]

Impresionante!! Eres casi un baqueano en las zonas de dónde es la mayor parte de mi familia, Luzaide/Valcarlos y Erronkari/Roncal.
Y son zonas prepirenaicas que no visita todo el mundo.
Realmente estoy impresionado!!
Espero algún día también poder visitar esos parajes. :D

Las dos zonas son muy bonitas, y muy diferentes entre sí, Navarra para lo pequeña que es tiene una variedad enorme en todo.Yendo de Isaba hacia Francia, no sé si era el puerto de Larraun, hay unos recorridos muy buenos de esquí de fondo.Y por Valcarlos creo que pasa el camino de Santiago, así que pasa mucha gente.En el pasado eran zonas bastante apartadas, especialmente el Roncal, no tanto Valcarlos , pero hoy en día hay bastante movimiento de gente.

[mitalit]

No he visto que pongan nada, de otras compañías ya recibí un e-mail diciendo que no hacían tests durante un tiempo. Además igual me llega rápido y lo envío pero el problema llega después, que no llega o hay problemas en la aduana de EEUU por ser muestras biológicas de Europa.
En todo caso seria culpa de la compañía. Como mucho te tardara mas o menos o igual te tienen que enviar otro porque "pierden" el tuyo. Bueno eso o que el sistema económico mundial se vaya al garete y pierdas tus 50€ (que probablemente tengan un valor de 1€), pero en ese caso seguro que tienes otras cosas de las que preocuparte

[Defcon2]

En esta calcu tengo mucho EHG y EEF.

Target: Juan_scaled
Distance: 5.1240% / 0.05124011
65.2 EEF
23.4 EHG
5.8 CHG
3.2 Yoruba
2.2 SHG
0.2 Natufian

http://g25vahaduo.genetics.ovh/G25%20From%20East%20to%20West,%20who%20is%20more%2 0Yamna%20culture.htm

[gixajo]

Target: gixajo_scaled
Distance: 4.5021% / 0.04502113
60.0 EEF
14.8 SHG
14.0 EHG
9.0 CHG
2.2 Natufian

Yo no sé que es lo que tengo.

[Rocinante]

Target: Alejandro_scaled
Distance: 3.6415% / 0.03641487
53.2 EEF
14.8 EHG
13.6 CHG
9.6 SHG
7.2 Natufian
1.6 Yoruba

[mitalit]

Target: Xabier_scaled
Distance: 4.8650% / 0.04865045
59.2 EEF
21.4 EHG
11.0 CHG
7.2 SHG
0.8 Yoruba
0.4 Natufian

[Defcon2]

Target: gixajo_scaled
Distance: 4.5021% / 0.04502113
60.0 EEF
14.8 SHG
14.0 EHG
9.0 CHG
2.2 Natufian

Yo no sé que es lo que tengo.

Mucha cara y mucho SHG.

[gixajo]

Mucha cara y mucho SHG.

Cara yo? Qué infundio!!!

Yo soy buena gente, no como otros...y no miro a nadie :coffee:

[Gota_type_]

Gracias por poner los tuyos. Entiendo que eso de ADC: 1x o ADC: 0.5x es una forma de filtrar y hacer más estricto el resultado, no? Algo parecido al modo especulativo y conservador de 23andme, correcto?

Los que habéis hecho el G25 y en general con todo lo relacionado con Vahaduo, ¿qué fiabilidad le dáis realmente? Porque a fin de cuentas se está basando TODO en calculadoras de gedmatch que están desfasadas (o que tienen demasiados errores por ser "antiguas") y realmente lo único que miran son proporciones de estos componentes de gedmatch y no mira obviamente tu RAW. Así que la estimación de poblaciones y distancias tiene una fiabilidad o realismo que quizá no tenga ni un 10-20% de nivel de confianza. ¿O creéis que puede moderadamente acertar en algo?




El ancient k13, en la meor distancia me salen un montón de poblaciones distintas, tampoco me da nada muy lógico.Me sale también Zanzíbar el tercero en la lista de distancias, pero vamos que no parece que nada tenga mucho sentido, simplemente son las muestras antiguas que tienen como source.

K13 ancient

[SPOILER]Target: gixajo
Distance: 3.1010% / 3.10095408 | ADC: 1x
59.0 I1297_Bulgaria_MP_N_7817_ybp
15.0 FN2_Germany_Late_Roman.SG_1650_ybp
14.4 I8214_iberia_
11.6 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp

Target: gixajo
Distance: 1.9991% / 1.99906847 | ADC: 0.5x
63.0 I1297_Bulgaria_MP_N_7817_ybp
23.2 I8214_iberia_
11.4 I3590_Germany_Bell_Beaker_4191_ybp
2.0 I10866_iberia_
0.4 I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp





Es que ponía scaled, y en realidad era unescaled...:picard2:

OPLE

Lo de scaled y unscaled, qué es exactamente? Entiendo que es para los G25 pero por saberlo. El tipo que hace Vahaduo debería admitir pago con bitcoin y similares, no sé por qué no lo permite (sería muy sencillo).


Lo primero, muchisimas gracias por unirte a nosotros y a este hilo compartiendo tus resultados.

Bueno, echandole un ojo a tu K13 y K15 updates (los viejos ni vale la pena verlos), pues estas en la media española, pero no gallega, sorprendentemente. Debes tener mucho WHG, como buen castellano, para sacar de primero esto:

1.74834207 Spanish_Castilla_La_Mancha
3.76280480 Spanish_Valencia
3.92146656 Spanish_Andalucia
4.28618712 Spanish_Aragon
4.74226739 Spanish_Cantabria

Es extraño pero bastante posible, ya confirmado con las muestras gallegas del G25, lo que prueba una vez mas que la poblacion española se ha estado mezclado entre ella desde mucho tiempo. Ojo, hago esta suposicion desde mi ignorancia porque no se que te pueda sacar el G25, pero seguro que tu primera poblacion va a ser una Castilla o algo tirando mas al Este, que el Occidente, por lo que tiene pinta.

Estas bastante en el average, y esas poblaciones pequeñas de african no se que, eso en el G25 desaparece para la mayoria, es ruido de calculadora, gedmatch no funciona tampoco como un reloj suizo, por asi decirlo.

Sabiendo que todos mis antepasados desde hace 500 años son gallegos (hice el árbol genealógico), lo único que se me ocurre es que a mi comarca concreta y durante la época de la invasión islámica, subieran gentes del centro de la Península para evitar las persecuciones de los moros. De hecho, está documentado que bastante gente "subió" del centro y sur hacia la cornisa cantábrica, así que unos cuantos vendrían por esta zona. Hay q tener en cuenta que la población en Galicia está muy fragmentada y tenemos cierto nivel de endogamia, así que si a mi comarca llegaron decenas o cientos de gentes del centro de la Península, pues mi comarca tendrá unas composiciones algo diferentes de otra comarca que recibió gente de otros lados (o que no recibieran gente en absoluto). Pero vamos, esto es prácticamente imposible de probar pq no hay documentación concreta de la gente que "subió". Sólo hay libros que confirman que este fenómeno se produjo.

Respecto a lo "africano". Partiendo de la base que estamos hablando del gedmatch "prehistórico" y que se ha demostrado que tiene fallos importantes (porque con posterioridad a estas calculadoras han salido estudios científicos probando cosas diferentes a las que gedmatch daba por válidas en sus calculadoras) pues está claro que sea o no ruido, lo que sí está claro es que es fallido (se basa en estudios invalidados). Lo digo pq por ejemplo, con 23andme (en su versión de hace 3 años o así) a bastante gente le salía "norteafricano" y actualmente el % es cero (es mi caso).

--------

Y ya sé que las calculadoras de Vahaduo (especialmente para las "ancient") tienen muy poca fiabilidad pero me llama la atención mirando los resultados de gixajo (que son los únicos que por ahora he podido comparar con los míos), como nos salen resultados bastantes distintos, y que a mí me salen poblaciones que podrían tener cierta base (no necesariamente estas poblaciones sino el componente genérico en el que se basan) con lo que yo podría ser. Es decir, está claro que la mayor parte de mis componentes son puramente españoles y si me da por buscar (porque está claro que por mi apariencia física y la de una parte importante de mi familia) antepasados de otras partes de Europa, y especialmente de la Europa germánica o nórdica, pues veo que salen estos componentes, q son los que llamaríamos "germánicos" (que a mí me salen y a gixajo por lo q veo no):

k13 Ancient

Distance
5.66392973 CL94_Italy_Langobard_1345_ybp
6.01516417 Crusader_SI40_Kingdom_of_Jerusalem_
7.17548605 I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
8.03566425 FN2_Germany_Late_Roman.SG_1650_ybp
8.22201314 E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp


11.6 I0160_England_IA.SG_1995_ybp
8.2 I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
3.8 Kvarlov5164_Sweden_TRB_MN_5746_ybp
3.8 Saxtorp5164_Sweden_3945_3647y_old_
3.6 I3130_Scotland_LBA_2854_ybp
3.0 I2441_Poland_Globular_Amphora_5050_ybp
2.2 I2618_England_CA_EBA_3993_ybp
2.2 I6759_England_N_5536_ybp
2.0 grt035_grt035_Sigtuna_10012_century
2.0 Hinxton_4_Cambridgshire_UK_2000_years_M_R_DF25_H1a g1_
2.0 I1388_France_Bell_Beaker_lowSteppe_4246_ybp
2.0 I2478_Beaker_North_Italy_I2478_


K13 original spreadsheet
8.4 South_Dutch
3.8 Danish


K15 Ancient
14.0 BronzeAgeOuterHebrides_I2655
3.4 BronzeAgeOrkneyIslander_I2981
3.2 ScythianMoldova_SCY300
3.0 HallstattCelt_DA111



K15 updated
3.2 Scotland
2.4 Orcadian


MDLP K23b
10.4 Lithuanian
4.4 Frisian



¿Podría estar aquí la base donde probar que efectivamente puedo tener sangre del centro y norte de Europa (de la época de las invasiones germánicas)? Está claro que un componente mínimo hay, y aunque estas no sean las poblaciones reales de las cuales lo he recibido, está claro que haberlo lo hay (no le estoy dando importancia, simplemente al margen de muchos otros componentes puramente españoles, pues me gusta explicar de qué lugares puedo haber recibido estos genes que me dan esta apariencia).

Por cierto, mola saber que me vinculan (aunque al final pueda ser falso) con estos 2:
5.0 SimadelAngel_LU339
3.0 MENA_GladiatorYork_3DRIF26

No he mirado pero quizá la sima del angel sea de Atapuerca y el Gladiator este de York (aunque pone MENA, así que intuyo que será un gladiador del norte de Africa), pues mola tener una vinculación aparente con Atapuerca o con los gladiadores. Aunque ya sé que la fiabilidad es muy muy baja pero al menos aparecen.

[Gota_type_]

Tengo un ligero recuerdo de algo llamado defensa numantina no? tenía que ver con resistencia a los romanos me parece.

Lo del sitio de Numancia fue brutal. No sé cómo no se ha hecho una super-producción sobre esta cuestión. No sé si fue el sitio y defensa más brutal de las Conquistas del Imperio Romano en Europa, pero difícilmente me imagino algo más espectacular. En internet hay mapas donde están los 7 campamentos romanos que rodeaban a Numancia y son inmensos.

Es decir, tenemos que ponernos en la piel de unos celtíberos que vivían tranquilamente en su ciudadela y luego imaginarnos que durante décadas están por norte, sur, este y oeste completamente rodeados por varias legiones que estaban asentadas a cientos de metros y que día tras día intentaban reducirles a escombros. Las vivencias dentro de la ciudadela debieron ser para ser narradas. Una pena que arrasaran con todo y que no haya (ni por parte romana ni obviamente por los numantinos) ningún escrito ni diario sobre lo sucedido. De haberlo sería una joya y una epopeya.

[Gota_type_]

I have a really high north sea

https://i.gyazo.com/2749224fa21da6f258e475a63139080d.png

Estoy mirando mis resultados del K36 y los componentes de North-Sea, Fennoscandian y NorthAtlantic los tenemos totalmente opuestos. ¿De dónde son tus antepasados?

Comparando los tuyos y los míos:

Tú tienes un 14.5% de NorthSea y yo un 2.5%

No tienes Fennoscandian y yo tengo un 4%

Tienes un 4.5% de NorthAtlantic y yo un 14%


No sé qué tendrá el resto pero son resultados bastante dispares para gente del mismo país. No sé si estaré yo en la media o estarás tú.

[Pedro Ruben]

Target: Pedro_scaled
Distance: 4.4492% / 0.04449172
52.6 EEF
22.4 EHG
8.0 CHG
8.0 Natufian
5.4 SHG
3.6 Yoruba

[mitalit]

Estoy mirando mis resultados del K36 y los componentes de North-Sea, Fennoscandian y NorthAtlantic los tenemos totalmente opuestos. ¿De dónde son tus antepasados?

Comparando los tuyos y los míos:

Tú tienes un 14.5% de NorthSea y yo un 2.5%

No tienes Fennoscandian y yo tengo un 4%

Tienes un 4.5% de NorthAtlantic y yo un 14%


No sé qué tendrá el resto pero son resultados bastante dispares para gente del mismo país. No sé si estaré yo en la media o estarás tú.

2/4 de Salamanca, 1/4 Valladolid y 1/4 de el País vasco. Hice una especie de estudio con los resultados del k36 y me marca que vengo de la zona de cataluña/sur de francia (Cosa rara no teniendo ningún antepasado por esas zonas)

[gixajo]

Gracias por poner los tuyos. Entiendo que eso de ADC: 1x o ADC: 0.5x es una forma de filtrar y hacer más estricto el resultado, no? Algo parecido al modo especulativo y conservador de 23andme, correcto?


No he mirado pero quizá la sima del angel sea de Atapuerca y el Gladiator este de York (aunque pone MENA, así que intuyo que será un gladiador del norte de Africa), pues mola tener una vinculación aparente con Atapuerca o con los gladiadores. Aunque ya sé que la fiabilidad es muy muy baja pero al menos aparecen.

Primero no te comas mucho la cabeza con el tema de de dónde nos vienen algunos componentes, no tenemos forma de saberlo ninguno de nosotros con exactitud, especialmente a partir de ciertas fechas hacia atrás.

Lo de la cercanía con muestras antiguas de los ancient del k13, hay que ver tal lo que expresa realmente. Tus coordenadas se parecen a las suyas en alguna medida, nada más, igual que las mías con las de uno de los restos humanos del dolmen que comenté. Sabríamos si tenemos conexión realmente si esos individuos tuvieran un kit de gedmatch asignado y pudiéramos comparar nuestros snps con los suyos , como hicimos varios entre nosotros aquí con la herramienta one_to_one de gdmatch.lo del k13 solo nos dice que tenemos cierta similitud étnica, sin más.

En cuanto a lo del G25, Celtíbero o Defcon2 podrán informarte mejor, que son los que más tiempo llevan con ese tema, yo no puedo opinar mucho hasta que no vea cómo funcionan por dentro el calculador y las coordenadas, y aún así podría opinar más en un sentido de fiabilidad estadística que sobre fiabilidad genética, que es un tema en el que no tengo ninguna formación.

La idea es la misma que gedmatch, cada calculadora atribuye a la lectura de los snps de un test autosomal una procedencia y según eso te dan las coordenadas, que en el caso delG25 creo(nadie me lo ha confirmado) que cada coordenada es la cercanía(distancia) a cada población (25 coordenadas, 25 poblaciones, supongo).En gedmatch, en vez de distancias está en porcentajes.

Todo esto lo supongo yo igual me estoy equivocando, pero es que no encuentro ningún sitio donde informarme de cómo va la cosa en el g25.

Aún no sé a que población corresponde la coordenada de cada componente, si alguno sabe donde puedo ver esa información, se lo agradecería.

[Defcon2]

2/4 de Salamanca, 1/4 Valladolid y 1/4 de el País vasco. Hice una especie de estudio con los resultados del k36 y me marca que vengo de la zona de cataluña/sur de francia (Cosa rara no teniendo ningún antepasado por esas zonas)

El geolocalizador del K36 me ubica con los peces, justo en el mar mediterraaaaaaaneoooo. Aunque cerca de Gran Bretaña (jajaja).

https://i.postimg.cc/R0KSh9W1/geolocalizacion.png

Me vais a preguntar cómo lo hice, pues obteniendo tus coordenadas K36 aquí:

https://gen3553.pagesperso-orange.fr/ADN/Europe.htm

En Layers > New Layer colocais esas coordenadas: https://maps.co/



Todo esto lo supongo yo igual me estoy equivocando, pero es que no encuentro ningún sitio donde informarme de cómo va la cosa en el g25.

Aún no sé a que población corresponde la coordenada de cada componente, si alguno sabe donde puedo ver esa información, se lo agradecería.

Ni idea, quizá Celtibero sepa.

Supongo que esa información estará en el blog de Eurogenes y aquí: http://bga101.blogspot.com/

[gixajo]

El geolocalizador del K36 me ubica con los peces, justo en el mar mediterraaaaaaaneoooo. Aunque cerca de Gran Bretaña (jajaja).



Me vais a preguntar cómo lo hice, pues obteniendo tus coordenadas K36 aquí:

https://gen3553.pagesperso-orange.fr/ADN/Europe.htm

En Layers > New Layer colocais esas coordenadas: https://maps.co/



Ni idea, quizá Celtibero sepa.

Supongo que esa información estará en el blog de Eurogenes y aquí: http://bga101.blogspot.com/

Justo por ahí está la isla de Alborán: https://es.wikipedia.org/wiki/Isla_de_Albor%C3%A1n

[Rocinante]

Gracias por poner los tuyos. Entiendo que eso de ADC: 1x o ADC: 0.5x es una forma de filtrar y hacer más estricto el resultado, no? Algo parecido al modo especulativo y conservador de 23andme, correcto?

Si, vamos, ni mas ni menos que eso. En los de gedmatch se recomiendo no pasar del 0.25x.


Los que habéis hecho el G25 y en general con todo lo relacionado con Vahaduo, ¿qué fiabilidad le dáis realmente? Porque a fin de cuentas se está basando TODO en calculadoras de gedmatch que están desfasadas (o que tienen demasiados errores por ser "antiguas") y realmente lo único que miran son proporciones de estos componentes de gedmatch y no mira obviamente tu RAW. Así que la estimación de poblaciones y distancias tiene una fiabilidad o realismo que quizá no tenga ni un 10-20% de nivel de confianza. ¿O creéis que puede moderadamente acertar en algo?

Le doy una alta fiabilidad, mejor que gedmatch o cualquier test comercial, vamos, sin lugar a dudas.

Lo mejor del G25 es poder moderlarte con las poblaciones antiguas, que al fin y al cabo es lo que suelen hacer los especialistas en el tema, aparte del tema de los haplogrupos. Esto con el gedmatch no lo puedes hacer, pues la unica calculadora que hay es una donde nisiquiera se habian enterado de los Yamnaya, que fue lo que revoluciono la historia de la genetica. Pero si lo que quieres (como todos, obviamente) es compararte con poblaciones modernas, G25 le da 3000 vueltas al gedmatch, pues a cada rato el creador esta subiendo muestras nuevas para poder modelar.


Lo de scaled y unscaled, qué es exactamente? Entiendo que es para los G25 pero por saberlo. El tipo que hace Vahaduo debería admitir pago con bitcoin y similares, no sé por qué no lo permite (sería muy sencillo).

Yo tambien estoy interesado en saber realmente las diferencias de unscaled y scaled, lo cierto es que unscaled no se suele usar, y despues de tanto hacer pruebas con las coordenadas, es muuuucho mejor usar scaled y ya esta.


Sabiendo que todos mis antepasados desde hace 500 años son gallegos (hice el árbol genealógico), lo único que se me ocurre es que a mi comarca concreta y durante la época de la invasión islámica, subieran gentes del centro de la Península para evitar las persecuciones de los moros. De hecho, está documentado que bastante gente "subió" del centro y sur hacia la cornisa cantábrica, así que unos cuantos vendrían por esta zona. Hay q tener en cuenta que la población en Galicia está muy fragmentada y tenemos cierto nivel de endogamia, así que si a mi comarca llegaron decenas o cientos de gentes del centro de la Península, pues mi comarca tendrá unas composiciones algo diferentes de otra comarca que recibió gente de otros lados (o que no recibieran gente en absoluto). Pero vamos, esto es prácticamente imposible de probar pq no hay documentación concreta de la gente que "subió". Sólo hay libros que confirman que este fenómeno se produjo.

Esto podria explicar un poquito tus resultados, aunque ojo, que en el G25 podrias sacar mas gallego que los gallegos, y nos llevamos una sorpresa, bueno que sorpresa ni que nada, pues seria lo normal.


Respecto a lo "africano". Partiendo de la base que estamos hablando del gedmatch "prehistórico" y que se ha demostrado que tiene fallos importantes (porque con posterioridad a estas calculadoras han salido estudios científicos probando cosas diferentes a las que gedmatch daba por válidas en sus calculadoras) pues está claro que sea o no ruido, lo que sí está claro es que es fallido (se basa en estudios invalidados). Lo digo pq por ejemplo, con 23andme (en su versión de hace 3 años o así) a bastante gente le salía "norteafricano" y actualmente el % es cero (es mi caso).

Esto es asi, es algo que ya el creador ni le hecha el ojo, estas calculadoras, funcionando por 15 (o 13) etiquetas o coordenadas, una yendo hacia el Atlantic (Irlanda), otra yendo hacia el West_Med (Sardinia), etc, ya cumplieron su funcion y ya no sirven.

[Defcon2]

Justo por ahí está la isla de Alborán: https://es.wikipedia.org/wiki/Isla_de_Albor%C3%A1n

Provengo de una familia de fareros que estuvo presente en la isla unos 100 años desde 1860 a 1966. Por cierto la niña que nació en la isla debe ser mi tataraabuela.

[gixajo]

Metí las mías y...

https://i.imgur.com/zOqviNR.png

https://i.imgur.com/JMH1kpa.jpg

https://es.wikipedia.org/wiki/Santa_Cruz_de_la_Zarza

Si hago una línea recta de donde es la familia de mi padre y la de mi madre, más o menos en la mitad.:rolleyes:

[Rocinante]

Lamento interrupir su fiesta aqui por el Mar de Alboran (Ya se que todos estamos desesperados por alguna playa o que nos coma un tiburon), pero tengo una calculadora... Vamos, prometo menos de 2% de distancia en el resultado (Y es scaled!).

[PT Tagus]

^^Las mejores fiestas son en Eivissa. ;)

https://i.imgur.com/EqZgPJv.png

[Rocinante]

Target: Alejandro_scaled
Distance: 1.4778% / 0.01477822
51.8 Early_European_Farmer
33.2 Steppe_Pastoralist
8.4 Western_Hunter-Gatherer
6.4 Iberomaurusian
0.2 Africa_Mesolithic

Miren lo que logre.

[gixajo]

Target: Alejandro_scaled
Distance: 1.4778% / 0.01477822


Miren lo que logre.

Necesito mi dosis de WHG, y la quiero ya.

ADD DIST COL No???

[Rocinante]

Necesito mi dosis de WHG, y la quiero ya.

ADD DIST COL No???

Cuando yo le doy a ADD DIST COL, me lo sube a ~2%, por lo tanto creo que asi esta de puta madre.

Ahora, hago un thread de esta calc? O la hacemos aqui solo con la Peña Iberica?

[gixajo]

Cuando yo le doy a ADD DIST COL, me lo sube a ~2%, por lo tanto creo que asi esta de puta madre.

Ahora, hago un thread de esta calc? O la hacemos aqui solo con la Peña Iberica?

Como gustes.

Pero cuál es la distancia de tu resultado? o ponemos la menor distancia que nos dé y ya está?

[gixajo]

Si lo pones en un thread aparte para todo el mundo lo hará más gente.

Yo hago todos los que veo, hasta los que solo tienen muestras balcánicas, estoy muy enfermo.

[Rocinante]

Como gustes.

Pero cuál es la distancia de tu resultado? o ponemos la menor distancia que nos dé y ya está?

Es esa que ves ahi, 1.4%, es demasiado bajita para ser una calculadora Scaled, una barbaridad.

Hare un thread.

[Rocinante]

Como gustes.

Pero cuál es la distancia de tu resultado? o ponemos la menor distancia que nos dé y ya está?

Es esa que ves ahi, 1.4%, es demasiado bajita para ser una calculadora Scaled, una barbaridad.

Hare un thread.

[gixajo]

Es esa que ves ahi, 1.4%, es demasiado bajita para ser una calculadora Scaled, una barbaridad.

Hare un thread.

Me refería a qué resultado es ese, 0,25X? 1X?

[perikolez]

Jajaja muchas gracias amigo!! :D
Y un dato curioso que se me había olvidado comentar, que Luzaide, el pueblo navarro de dónde viene la mayor parte de mi familia, está prácticamente de espaldas al lugar de dónde se habría dado la emboscada de Roncesvalles. Parece broma pero es así!!
Ojala pueda ir algún día con mis hijos.
Sería mágico realmente!! :D


https://youtu.be/ZoDXqJUoI70


Luzaide se puede decir que no está en la península ibérica. Junto Urdazubi-Zugarramurdi que también está en Navarra y el Valle de Aran están al norte de los pirineos, Por el otro lado, la Cerdanya actualmente francesa es ibérica. Lo normal era que hubiese seguido perteneciendo a Cataluña o España pero se perdió ese territorio tras una guerra.

Luzaide estuvo históricamente ligado en todo con los pueblos de otro lado de la frontera. Por tanto, si tus antepasados vienen de allí, prácticamente puedes contar que eran de Iparralde (vascofranceses).

[Rocinante]

Me refería a qué resultado es ese, 0,25X? 1X?

0.00

[gixajo]

Es esa que ves ahi, 1.4%, es demasiado bajita para ser una calculadora Scaled, una barbaridad.

Hare un thread.

Pensaba que harías el thread con el calculador ahora, llevo media hora esperando...:picard1:

[Rocinante]

Pensaba que harías el thread con el calculador ahora, llevo media hora esperando...:picard1:

Perdona tío, ando dándole unas referencias finales

Calma, que hoy seguro hay 4.0.

[gixajo]

Mientras tanto si alguien tiene ganas puede hacer este: https://www.theapricity.com/forum/showthread.php?319757-Modern-K64-(SCALED)-G25-Model-by-SUPREEEEEME&p=6617264#post6617264

[Defcon2]

Mientras tanto si alguien tiene ganas puede hacer este: https://www.theapricity.com/forum/showthread.php?319757-Modern-K64-(SCALED)-G25-Model-by-SUPREEEEEME&p=6617264#post6617264

Morralla africana + indio persistente, a ver si es verdad y lo publicaré ahora en ese hilo. :picard1:

[Brás Garcia de Mascarenhas]

https://i.imgur.com/NRrpoZ7.png

https://i.imgur.com/S9s2dlI.png

Villaconejos de Trabaque es un municipio español de la provincia de Cuenca, en la comunidad autónoma de Castilla-La Mancha. Tiene un área de 31,64 km² con una población de 372 habitantes (INE 2015) y una densidad de 13,08 hab/km².

[Brás Garcia de Mascarenhas]

Estoy mirando mis resultados del K36 y los componentes de North-Sea, Fennoscandian y NorthAtlantic los tenemos totalmente opuestos. ¿De dónde son tus antepasados?

Comparando los tuyos y los míos:

Tú tienes un 14.5% de NorthSea y yo un 2.5%

No tienes Fennoscandian y yo tengo un 4%

Tienes un 4.5% de NorthAtlantic y yo un 14%


No sé qué tendrá el resto pero son resultados bastante dispares para gente del mismo país. No sé si estaré yo en la media o estarás tú.

É tudo virtualmente idêntico, North Sea e North Atlantic. Samples idênticas. Não existe uma disparidade grande como estás a supor.

Eu obtive 12.99% North Sea, 6.87% North Atlantic e 3.50% Fennoscandian = 23.36%

Gota_Type: 2.5% North Sea, 14% North Atlantic e 4% Fennoscandian = 20.5%

Spaniard 2.0: 14.43% North Sea, 4.56% North Atlantic e 0% Fennoscandian = 18.99%

Como podes ver os componentes do norte da europa são idênticos, anda na média dos ~20%.

[Rocinante]

Listo. Click en mi firma para ir a la nueva calculadora, prometo buenas distancias (excepto a Juan, no di con el porque).

[Defcon2]

É tudo virtualmente idêntico, North Sea e North Atlantic. Samples idênticas. Não existe uma disparidade grande como estás a supor.

Eu obtive 12.99% North Sea, 6.87% North Atlantic e 3.50% Fennoscandian = 23.36%

Gota_Type: 2.5% North Sea, 14% North Atlantic e 4% Fennoscandian = 20.5%

Spaniard 2.0: 14.43% North Sea, 4.56% North Atlantic e 0% Fennoscandian = 18.99%

Como podes ver os componentes do norte da europa são idênticos, anda na média dos ~20%.

Eu pertenço ao clube não nórdico.

4.61% North Sea, 4.72% North Atlantic e 0% Fennoscandian = 9.33%

[Brás Garcia de Mascarenhas]

Eu pertenço ao clube não nórdico.

4.61% North Sea, 4.72% North Atlantic e 0% Fennoscandian = 9.33%

Quanto é que obtiveste de Central Euro e Francês?

[gixajo]

Que bueno, un calculador para británicos y tienen componentes de cualquier país alrededor de las islas menos de...

Adivinad!!!

He salido 100 % de varios sitios distintos de Francia (Sur de Francia) con mejores distancias que algunos británicos y sucedáneos a sus mejores resultados.

https://www.theapricity.com/forum/showthread.php?319707-British-Irish-G25-Calculator

Una pena que no esté Gaska aquí, se lo hubiera pasado muy bien con esto, espero que siga leyéndonos al menos.

[Defcon2]

Quanto é que obtiveste de Central Euro e Francês?

0% Central Euro e 6.90% Frances.

https://i.postimg.cc/2SBCszKv/K36-6-75.png

[Brás Garcia de Mascarenhas]

0% Central Euro e 6.90% Frances.

Infelizmente a tua raw data foi produzida com um chip que não permite a leitura de muitos SNPs no GedMatch (51992, o meu leu 146117). Seria interessante tentar replicar uma calculadora K36 para correr com as coordenadas do G25 e tentarmos comparar.

[Defcon2]

Infelizmente a tua raw data foi produzida com um chip que não permite a leitura de muitos SNPs no GedMatch (51992, o meu leu 146117). Seria interessante tentar replicar uma calculadora K36 para correr com as coordenadas do G25 e tentarmos comparar.

Eu não tinha ideia disso, o resto das calculadoras pode ter tido a mesma sorte.

[Defcon2]

Infelizmente a tua raw data foi produzida com um chip que não permite a leitura de muitos SNPs no GedMatch (51992, o meu leu 146117). Seria interessante tentar replicar uma calculadora K36 para correr com as coordenadas do G25 e tentarmos comparar.

Você acabou de me fazer ver as coisas sob uma luz diferente, quantos snps você usou nesta calculadora? neste eu 59256

https://i.postimg.cc/63HJFqTc/Eurogenes-K15.png

[Brás Garcia de Mascarenhas]

Você acabou de me fazer ver as coisas sob uma luz diferente, quantos snps você usou nesta calculadora? neste eu 59256



163285 SNPs used in this evaluation

Eu testei com o Chip V4 do 23andMe. O facto de tu teres testado com uma versão do chip que não é a mais optimizada para usar no GedMatch não quer dizer no entanto que os resultados devam ser descartados ou inteiramente incorrectos mas por norma quantos mais SNPs, mais fiável.

Edit: No teu K15 estás completamente dentro da média Espanhola no que toca a componentes do Norte da Europa, vulgo "Mesolithic hunter-gatherer components".

19.50% North Sea + 2.38% Baltic = 21.88%

Isto é como tudo, cada calculadora dá um resultado diferente.

[Defcon2]

163285 SNPs used in this evaluation

Eu testei com o Chip V4 do 23andMe. O facto de tu teres testado com uma versão do chip que não é a mais optimizada para usar no GedMatch não quer dizer no entanto que os resultados devam ser descartados ou inteiramente incorrectos mas por norma quantos mais SNPs, mais fiável.

Edit: No teu K15 estás completamente dentro da média Espanhola no que toca a componentes do Norte da Europa, vulgo "Mesolithic hunter-gatherer components".

19.50% North Sea + 2.38% Baltic = 21.88%

Isto é como tudo, cada calculadora dá um resultado diferente.

O número de snps é três vezes maior que o meu. Quanto à SSA e ao sul da Ásia, a mina está bem acima da média. Um parceiro português com o mesmo chip também recebe uma pontuação anormalmente alta na SSA (Endovelicus)
Deveria ter outro arquivo RAW para verificá-lo, mas parece estranho que uma versão mais moderna execute menos snps.

[Brás Garcia de Mascarenhas]

O número de snps é três vezes maior que o meu. Quanto à SSA e ao sul da Ásia, a mina está bem acima da média. Um parceiro português com o mesmo chip também recebe uma pontuação anormalmente alta na SSA (Endovelicus)
Deveria ter outro arquivo RAW para verificá-lo, mas parece estranho que uma versão mais moderna execute menos snps.

Isso deve-se ao facto de o GedMatch não conseguir cruzar e sobrepor tantos SNPs do chip v5 com o das outras companhias. O chip v5 compartilha cerca de 150.000 SNPs com o Ancestry/FTDNA, enquanto que a versão v4 e anteriores compartilhavam mais de 300.000 SNPs entre si.

[Brás Garcia de Mascarenhas]

O teu SSA não é fora do normal para um Ibérico. Tiveste 0% de Northeast-African no K15. Eu tenho 0% de SSA no K15 mas tenho em contrapartida 3.20% de Northeast African que é praticamente a mesma coisa.

[PT Tagus]

Que bueno, un calculador para británicos y tienen componentes de cualquier país alrededor de las islas menos de...

Adivinad!!!

He salido 100 % de varios sitios distintos de Francia (Sur de Francia) con mejores distancias que algunos británicos y sucedáneos a sus mejores resultados.

https://www.theapricity.com/forum/showthread.php?319707-British-Irish-G25-Calculator

Una pena que no esté Gaska aquí, se lo hubiera pasado muy bien con esto, espero que siga leyéndonos al menos.

Como era de esperar, Spaniard 2.0 se destaca entre los Íberos en esta calculadora. :lol:

[Defcon2]

O teu SSA não é fora do normal para um Ibérico. Tiveste 0% de Northeast-African no K15. Eu tenho 0% de SSA no K15 mas tenho em contrapartida 3.20% de Northeast African que é praticamente a mesma coisa.

Isso também é verdade, pode ser devido à falta de referência norte-africana, mas a maior parte vem do nordeste.

[Brás Garcia de Mascarenhas]

Isso também é verdade, pode ser devido à falta de referência norte-africana, mas a maior parte vem do nordeste.

Tu és apenas Catalão ou tens antepassados de outras regiões de Espanha?

[Defcon2]

Tu és apenas Catalão ou tens antepassados de outras regiões de Espanha?

Eles são todos da Extremadura, e alguns possivelmente de outra região, como todas as pessoas.

[Brás Garcia de Mascarenhas]

Eles são todos da Extremadura, e alguns possivelmente de outra região, como todas as pessoas.

Então ainda mais normal é, está dentro da média dos Ibéricos Ocidentais. Os Extremeños são geneticamente idênticos aos Portugueses, Galegos e Castellanoleoneses.

[gixajo]

Como era de esperar, Spaniard 2.0 se destaca entre los Íberos en esta calculadora. :lol:

En algunas hasta podría competir con los británicos .

No se si te has fijado , pero al menos hasta los resultados que yo ví, los primeros que han acudido a la llamada de un calculador para British han sido de USA, salvo el OP.

Yo comprendo que no pongan ningún componente que ponga claramente España o español, porque nos tienen bastante manía, pero los portugueses os habéis llevado muy bien con los británicos, podrían al menos añadir un Iberian no español o un portugués directamente, porque igual el componente peninsular es más habitual que otros que si han añadido.

Porque no tiene sentido añadir un montón de muestras francesas, más de la mitad del sur de Francia, que son medio Ibéricos o medio vascos, pero evita a toda costa muestras que hagan alusión a la península Ibérica.

Y eso que el OP que abrió el thread es un tipo majo, y le suele salir cosa de un 10% de Ibérico en resultados.

Igual tú como portugués estás menos sesgado contra los anglos que yo. ¿Cuál es tu opinión sobre esto?

[mitalit]

En algunas hasta podría competir con los británicos .

No se si te has fijado , pero al menos hasta los resultados que yo ví, los primeros que han acudido a la llamada de un calculador para British han sido de USA, salvo el OP.

Yo comprendo que no pongan ningún componente que ponga claramente España o español, porque nos tienen bastante manía, pero los portugueses os habéis llevado muy bien con los británicos, podrían al menos añadir un Iberian no español o un portugués directamente, porque igual el componente peninsular es más habitual que otros que si han añadido.

Porque no tiene sentido añadir un montón de muestras francesas, más de la mitad del sur de Francia, que son medio Ibéricos o medio vascos, pero evita a toda costa muestras que hagan alusión a la península Ibérica.

Y eso que el OP que abrió el thread es un tipo majo, y le suele salir cosa de un 10% de Ibérico en resultados.

Igual tú como portugués estás menos sesgado contra los anglos que yo. ¿Cuál es tu opinión sobre esto?
Yo no creo que en este caso sea algo contra España, es mas bien algo contra el sur (y probablemente sea inconsciente). Pero bueno, los españoles hacemos algo parecido con Marruecos, tampoco es para tanto pero esta bien recordarles que probablemente sean algo españolitos

[gixajo]

Yo no creo que en este caso sea algo contra España, es mas bien algo contra el sur (y probablemente sea inconsciente). Pero bueno, los españoles hacemos algo parecido con Marruecos, tampoco es para tanto pero esta bien recordarles que probablemente sean algo españolitos

Ya, igual es algo inconsciente o simplemente para agradar a los gringos, que como vean un resultado que les salga Hispanic les daalgo.

Has visto las sources que ha sacado con componentes Ibéricos el OP de ese thread? Salen unas distancias buenísimas, y por fín consigo que me salga Andalucía.No sé de donde las ha sacado, pero le ponemos un poco de NA(hay Canarian) algo de Italia y balcanes y sale un calculador Ibérico bastante bueno.

Target: gixajo_scaled
Distance: 0.7929% / 0.00792869
24.6 Basque_Spanish
18.2 Spanish_Andalucia
13.6 Spanish_Castello
10.2 French_South
9.0 Spanish_Galicia
8.2 Spanish_Aragon
7.8 Spanish_Canarias
3.4 Dutch
2.2 Lithuanian_VA
1.6 Spanish_Valencia
0.8 French_Occitanie
0.4 Estonian

Target: gixajo_scaled
Distance: 1.4264% / 0.01426400 | ADC: 1x
57.8 Spanish_Castilla_Y_Leon
28.4 Spanish_Cantabria
13.8 Basque_French

Target: gixajo_scaled
Distance: 1.1077% / 0.01107673 | ADC: 0.5x
31.0 Spanish_Castilla_Y_Leon
22.0 Spanish_Castello
13.0 French_South
8.6 Basque_French
6.8 Spanish_Catalunya_Central
6.2 Spanish_Cantabria
6.0 Spanish_Galicia
4.8 French_Occitanie
0.8 Basque_Spanish
0.8 Spanish_Valencia

Target: gixajo_scaled
Distance: 0.8828% / 0.00882800 | ADC: 0.25x
18.4 Basque_Spanish
15.2 Spanish_Galicia
14.4 French_Occitanie
14.0 Spanish_Castello
12.2 Spanish_Andalucia
9.6 French_South
7.8 Spanish_Valencia
6.0 Spanish_Castilla_Y_Leon
1.4 Spanish_Canarias
0.6 German_East
0.2 Dutch
0.2 Spanish_Aragon

[mitalit]

Ya, igual es algo inconsciente o simplemente para agradar a los gringos, que como vean un resultado que les salga Hispanic les daalgo.

Has visto las sources que ha sacado con componentes Ibéricos el OP de ese thread? Salen unas distancias buenísimas, y por fín consigo que me salga Andalucía.No sé de donde las ha sacado, pero le ponemos un poco de NA(hay Canarian) algo de Italia y balcanes y sale un calculador Ibérico bastante bueno.

Target: gixajo_scaled
Distance: 0.7929% / 0.00792869
24.6 Basque_Spanish
18.2 Spanish_Andalucia
13.6 Spanish_Castello
10.2 French_South
9.0 Spanish_Galicia
8.2 Spanish_Aragon
7.8 Spanish_Canarias
3.4 Dutch
2.2 Lithuanian_VA
1.6 Spanish_Valencia
0.8 French_Occitanie
0.4 Estonian

Target: gixajo_scaled
Distance: 1.4264% / 0.01426400 | ADC: 1x
57.8 Spanish_Castilla_Y_Leon
28.4 Spanish_Cantabria
13.8 Basque_French

Target: gixajo_scaled
Distance: 1.1077% / 0.01107673 | ADC: 0.5x
31.0 Spanish_Castilla_Y_Leon
22.0 Spanish_Castello
13.0 French_South
8.6 Basque_French
6.8 Spanish_Catalunya_Central
6.2 Spanish_Cantabria
6.0 Spanish_Galicia
4.8 French_Occitanie
0.8 Basque_Spanish
0.8 Spanish_Valencia

Target: gixajo_scaled
Distance: 0.8828% / 0.00882800 | ADC: 0.25x
18.4 Basque_Spanish
15.2 Spanish_Galicia
14.4 French_Occitanie
14.0 Spanish_Castello
12.2 Spanish_Andalucia
9.6 French_South
7.8 Spanish_Valencia
6.0 Spanish_Castilla_Y_Leon
1.4 Spanish_Canarias
0.6 German_East
0.2 Dutch
0.2 Spanish_Aragon

Las puedes poner aquí?

[Brás Garcia de Mascarenhas]

En algunas hasta podría competir con los británicos .

No se si te has fijado , pero al menos hasta los resultados que yo ví, los primeros que han acudido a la llamada de un calculador para British han sido de USA, salvo el OP.

Yo comprendo que no pongan ningún componente que ponga claramente España o español, porque nos tienen bastante manía, pero los portugueses os habéis llevado muy bien con los británicos, podrían al menos añadir un Iberian no español o un portugués directamente, porque igual el componente peninsular es más habitual que otros que si han añadido.

Porque no tiene sentido añadir un montón de muestras francesas, más de la mitad del sur de Francia, que son medio Ibéricos o medio vascos, pero evita a toda costa muestras que hagan alusión a la península Ibérica.

Y eso que el OP que abrió el thread es un tipo majo, y le suele salir cosa de un 10% de Ibérico en resultados.

Igual tú como portugués estás menos sesgado contra los anglos que yo. ¿Cuál es tu opinión sobre esto?


Yo no creo que en este caso sea algo contra España, es mas bien algo contra el sur (y probablemente sea inconsciente). Pero bueno, los españoles hacemos algo parecido con Marruecos, tampoco es para tanto pero esta bien recordarles que probablemente sean algo españolitos

Rapazes, vocês têm de descontrair mais. O gajo fez uma calculadora para Irlandeses e Britânicos, componentes Ibéricas não são particularmente essenciais para quem seja dessa região.

Não sei como é que por causa de uma calculadora vocês conseguem chegar à conclusão que a não inclusão de samples Ibéricas se deve a uma animosidade anti-Espanha.

A calculadora em si nem é das melhores para Britânicos e Irlandeses, está cheia de samples Inglesas e Irlandesas quando não devia ter mais que uma ou duas.

[Defcon2]

Ya, igual es algo inconsciente o simplemente para agradar a los gringos, que como vean un resultado que les salga Hispanic les daalgo.

Has visto las sources que ha sacado con componentes Ibéricos el OP de ese thread? Salen unas distancias buenísimas, y por fín consigo que me salga Andalucía.No sé de donde las ha sacado, pero le ponemos un poco de NA(hay Canarian) algo de Italia y balcanes y sale un calculador Ibérico bastante bueno.

Target: gixajo_scaled
Distance: 0.7929% / 0.00792869
24.6 Basque_Spanish
18.2 Spanish_Andalucia
13.6 Spanish_Castello
10.2 French_South
9.0 Spanish_Galicia
8.2 Spanish_Aragon
7.8 Spanish_Canarias
3.4 Dutch
2.2 Lithuanian_VA
1.6 Spanish_Valencia
0.8 French_Occitanie
0.4 Estonian

Target: gixajo_scaled
Distance: 1.4264% / 0.01426400 | ADC: 1x
57.8 Spanish_Castilla_Y_Leon
28.4 Spanish_Cantabria
13.8 Basque_French

Target: gixajo_scaled
Distance: 1.1077% / 0.01107673 | ADC: 0.5x
31.0 Spanish_Castilla_Y_Leon
22.0 Spanish_Castello
13.0 French_South
8.6 Basque_French
6.8 Spanish_Catalunya_Central
6.2 Spanish_Cantabria
6.0 Spanish_Galicia
4.8 French_Occitanie
0.8 Basque_Spanish
0.8 Spanish_Valencia

Target: gixajo_scaled
Distance: 0.8828% / 0.00882800 | ADC: 0.25x
18.4 Basque_Spanish
15.2 Spanish_Galicia
14.4 French_Occitanie
14.0 Spanish_Castello
12.2 Spanish_Andalucia
9.6 French_South
7.8 Spanish_Valencia
6.0 Spanish_Castilla_Y_Leon
1.4 Spanish_Canarias
0.6 German_East
0.2 Dutch
0.2 Spanish_Aragon

Ha incluido muestras vascas PELIGRO, a parte de muchas similares entre sí.

Tenías razón sobre la manía a los españoles, esas muestras españolitas no las ha incluido en su hoja de cálculo original.

[mitalit]

Rapazes, vocês têm de descontrair mais. O gajo fez uma calculadora para Irlandeses e Britânicos, componentes Ibéricas não são particularmente essenciais para quem seja dessa região.

Não sei como é que por causa de uma calculadora vocês conseguem chegar à conclusão que a não inclusão de samples Ibéricas se deve a uma animosidade anti-Espanha.
Es como si hacemos una calculadora para componentes españoles/portugueses y no ponemos componentes norteafricanos.

[gixajo]

Yo no creo que en este caso sea algo contra España, es mas bien algo contra el sur (y probablemente sea inconsciente). Pero bueno, los españoles hacemos algo parecido con Marruecos, tampoco es para tanto pero esta bien recordarles que probablemente sean algo españolitos

Lo de la comparación de lo de algunos españoles con el NA es muy acertada, yo también lo pensé. :thumb001:

[gixajo]

Rapazes, vocês têm de descontrair mais. O gajo fez uma calculadora para Irlandeses e Britânicos, componentes Ibéricas não são particularmente essenciais para quem seja dessa região.

Não sei como é que por causa de uma calculadora vocês conseguem chegar à conclusão que a não inclusão de samples Ibéricas se deve a uma animosidade anti-Espanha.

A calculadora em si nem é das melhores para Britânicos e Irlandeses, está cheia de samples Inglesas e Irlandesas quando não devia ter mais que uma ou duas.

Nosotros hemos puesto en todas las calculadoras NA, y otros componentes no europeos, teniendo de media menos que ellos de Ibérico. A dos de los que han puesto resultados ahí, los dos de USA, les he visto resultados de Ibérico de más del 10%.

[gixajo]

Ha incluido muestras vascas PELIGRO, a parte de muchas similares entre sí.

Tenías razón sobre la manía a los españoles, esas muestras españolitas no las ha incluido en su hoja de cálculo original.

El típico caso de Iberian modelado a partir del Basque? Si hasta alguna muestra de occitania francesa estaba modelada con vasco...

[Brás Garcia de Mascarenhas]

Es como si hacemos una calculadora para componentes españoles/portugueses y no ponemos componentes norteafricanos.

As samples Ibéricas não têm interesse nenhum para quem seja Britânico ou Irlandês porque a nossa herança genética nas ilhas é praticamente nula. A única sample que faria algum sentido adicionar seria a dos Bascos, por serem uma população isolada. Assim como faria mais sentido adicionar a sample dos Orcadians em vez de cem samples de Irlandeses. As referências são melhores quanto mais isolada uma população for geneticamente, dá para tirar melhores conclusões. Com a inclusão de todas as samples da península ibérica como ele fez agora, a calculadora é inútil e não vos diz mais nada para além do que já sabiam: que são Ibéricos.

[gixajo]

As samples Ibéricas não têm interesse nenhum para quem seja Britânico ou Irlandês porque a nossa herança genética nas ilhas é praticamente nula. A única sample que faria algum sentido adicionar seria a dos Bascos, por serem uma população isolada. Assim como faria mais sentido adicionar a sample dos Orcadians em vez de cem samples de Irlandeses. As referências são melhores quanto mais isolada uma população for geneticamente, dá para tirar melhores conclusões. Com a inclusão de todas as samples da península ibérica como ele fez agora, a calculadora é inútil e não vos diz mais nada para além do que já sabiam: que são Ibéricos.

And French(half of samples are sout France) and Belgian samples?

[mitalit]

As samples Ibéricas não têm interesse nenhum para quem seja Britânico ou Irlandês porque a nossa herança genética nas ilhas é praticamente nula. A única sample que faria algum sentido adicionar seria a dos Bascos, por serem uma população isolada. Assim como faria mais sentido adicionar a sample dos Orcadians em vez de cem samples de Irlandeses. As referências são melhores quanto mais isolada uma população for geneticamente, dá para tirar melhores conclusões. Com a inclusão de todas as samples da península ibérica como ele fez agora, a calculadora é inútil e não vos diz mais nada para além do que já sabiam: que são Ibéricos.

No me refiero a muestras ibéricas únicamente.

[PT Tagus]

En algunas hasta podría competir con los británicos .

No se si te has fijado , pero al menos hasta los resultados que yo ví, los primeros que han acudido a la llamada de un calculador para British han sido de USA, salvo el OP.

Yo comprendo que no pongan ningún componente que ponga claramente España o español, porque nos tienen bastante manía, pero los portugueses os habéis llevado muy bien con los británicos, podrían al menos añadir un Iberian no español o un portugués directamente, porque igual el componente peninsular es más habitual que otros que si han añadido.

Porque no tiene sentido añadir un montón de muestras francesas, más de la mitad del sur de Francia, que son medio Ibéricos o medio vascos, pero evita a toda costa muestras que hagan alusión a la península Ibérica.

Y eso que el OP que abrió el thread es un tipo majo, y le suele salir cosa de un 10% de Ibérico en resultados.

Igual tú como portugués estás menos sesgado contra los anglos que yo. ¿Cuál es tu opinión sobre esto?

No pusieron ninguna muestra española porque es una calculadora para británicos e irlandeses. No tiene sentido incluir muestras ibéricas. No veo las cosas en la perspectiva de una enemistad entre británicos y españoles. Me parece un poco una manía de persecución de tu parte. No tome la discusión de esta manera, ya que no me parece intelectualmente honesto.

En cuanto a la inclusión de muestras del sur de Francia, los británicos tenían una relación mucho más estrecha con Francia que con la Península Ibérica. Ahora no sabemos si esta relación a nivel de matrimonio se produjo exclusivamente entre la aristocracia o si también tuvo un impacto en diferentes sectores de la población.

Las muestras del sur de Francia tienen cierta similitud genética con la Península Ibérica, pero nuestra posición geográfica favorable al aislamiento ha desarrollado ciertas peculiaridades en el acervo genético ibérico. Hay similitudes pero también diferencias entre el grupo francés sur/suroeste y el grupo ibérico.

[Brás Garcia de Mascarenhas]

And French(half of samples are sout France) and Belgian samples?

Se reparares o gajo é um Americano de descendência Francesa e Britânica. Provavelmente fez uma calculadora à medida dele e na cabeça dele aquilo é uma boa calculadora para Britânicos e Irlandeses (que claramente não é, Britânicos e Irlandeses nativos vão ter praticamente 100% Irlandês\Britânico numa calculadora que tem 50 samples Irlandesas\Britânicas, ou seja, ficam a saber o mesmo).

[mitalit]

Ya, igual es algo inconsciente o simplemente para agradar a los gringos, que como vean un resultado que les salga Hispanic les daalgo.

Has visto las sources que ha sacado con componentes Ibéricos el OP de ese thread? Salen unas distancias buenísimas, y por fín consigo que me salga Andalucía.No sé de donde las ha sacado, pero le ponemos un poco de NA(hay Canarian) algo de Italia y balcanes y sale un calculador Ibérico bastante bueno.

Target: gixajo_scaled
Distance: 0.7929% / 0.00792869
24.6 Basque_Spanish
18.2 Spanish_Andalucia
13.6 Spanish_Castello
10.2 French_South
9.0 Spanish_Galicia
8.2 Spanish_Aragon
7.8 Spanish_Canarias
3.4 Dutch
2.2 Lithuanian_VA
1.6 Spanish_Valencia
0.8 French_Occitanie
0.4 Estonian

Target: gixajo_scaled
Distance: 1.4264% / 0.01426400 | ADC: 1x
57.8 Spanish_Castilla_Y_Leon
28.4 Spanish_Cantabria
13.8 Basque_French

Target: gixajo_scaled
Distance: 1.1077% / 0.01107673 | ADC: 0.5x
31.0 Spanish_Castilla_Y_Leon
22.0 Spanish_Castello
13.0 French_South
8.6 Basque_French
6.8 Spanish_Catalunya_Central
6.2 Spanish_Cantabria
6.0 Spanish_Galicia
4.8 French_Occitanie
0.8 Basque_Spanish
0.8 Spanish_Valencia

Target: gixajo_scaled
Distance: 0.8828% / 0.00882800 | ADC: 0.25x
18.4 Basque_Spanish
15.2 Spanish_Galicia
14.4 French_Occitanie
14.0 Spanish_Castello
12.2 Spanish_Andalucia
9.6 French_South
7.8 Spanish_Valencia
6.0 Spanish_Castilla_Y_Leon
1.4 Spanish_Canarias
0.6 German_East
0.2 Dutch
0.2 Spanish_Aragon
En mi caso son un poco raras

Target: Xabier_scaled
Distance: 1.3519% / 0.01351853
27.0 Spanish_Andalucia
23.6 Spanish_Galicia
14.6 French_Provence
11.4 Irish
10.4 Belgian
8.2 Spanish_Canarias
1.4 Dutch
1.4 French_Occitanie
1.4 French_Paris
0.6 Spanish_Valencia


Target: Xabier_scaled
Distance: 1.3869% / 0.01386865 | ADC: 0.25x
28.8 Spanish_Andalucia
25.2 Spanish_Galicia
15.8 French_Provence
11.2 Belgian
6.0 Spanish_Canarias
5.0 Irish
4.6 French_Paris
3.4 Dutch

[gixajo]

No pusieron ninguna muestra española porque es una calculadora para británicos e irlandeses. No tiene sentido incluir muestras ibéricas. No veo las cosas en la perspectiva de una enemistad entre británicos y españoles. Me parece un poco una manía de persecución de tu parte. No tome la discusión de esta manera, ya que no me parece intelectualmente honesto.

En cuanto a la inclusión de muestras del sur de Francia, los británicos tenían una relación mucho más estrecha con Francia que con la Península Ibérica. Ahora no sabemos si esta relación a nivel de matrimonio se produjo exclusivamente entre la aristocracia o si también tuvo un impacto en diferentes sectores de la población.

Las muestras del sur de Francia tienen cierta similitud genética con la Península Ibérica, pero nuestra posición geográfica favorable al aislamiento ha desarrollado ciertas peculiaridades en el acervo genético ibérico. Hay similitudes pero también diferencias entre el grupo francés sur/suroeste y el grupo ibérico.

Sí , es posible incluso las dos cosas, un poco de manía persecutoria por mi parte, y un poco de manía por la suya.

Pero pensar que la muestra de Bélgica es relevante, o que de la casualidad que más de la mitad de muestras francesas sean del Sur, entre 1/4 y la mitad de la península Ibérica, da que pensar, no crees?

Sin contar que lo que comentamos, Damos más los peninsulares en NA o los ingleses en Iberian habitualmente? Sin contar que la mayoría de los que se han hecho ese test con antepasados británicos son de USA...

[mitalit]

Entonces creéis que con muestras Suecas, Inglesas, Francesas, Irlandesas, Escocesas, Alemanas, Noruegas y Belgas se puede moldear a un ingles? Yo creo que todos tienen algo del sur/este de Europa.

[gixajo]

Se reparares o gajo é um Americano de descendência Francesa e Britânica. Provavelmente fez uma calculadora à medida dele e na cabeça dele aquilo é uma boa calculadora para Britânicos e Irlandeses (que claramente não é, Britânicos e Irlandeses nativos vão ter praticamente 100% Irlandês\Britânico numa calculadora que tem 50 samples Irlandesas\Britânicas, ou seja, ficam a saber o mesmo).

The OP has Spanish ancestry, see his banner :rolleyes:

[Brás Garcia de Mascarenhas]

Entonces creéis que con muestras Suecas, Inglesas, Francesas, Irlandesas, Escocesas, Alemanas, Noruegas y Belgas se puede moldear a un ingles? Yo creo que todos tienen algo del sur/este de Europa.

Com samples modernas é sempre complicado, ainda para mais com a inclusão de todas essas populações (muitas delas são geneticamente idênticas, não faz sentido). E sim, os Ingleses claro que têm algo do "Sul da Europa" mas convém lembrar que se numa calculadora destas sair a um Inglês uma percentagem da Península Ibérica não é necessariamente por ter antepassados Ibéricos mas sim por partilhar connosco uma herança genética comum que advém da Cultura do Vaso Campaniforme (Bell Beaker). Da mesma forma que tu teres 11% Belga não é indicativo de antepassados Belgas.

[gixajo]

Even considering Mh is not the more accurate source, do you think that Iberian component is not useful to model Uk/irish population?

I know that in Canada and Usa most of Iberian would be form Latinamerican people.


https://i.imgur.com/SBI87DM.png

https://i.imgur.com/c3y86hM.png

https://i.imgur.com/1xkeKHd.png

https://i.imgur.com/n9OCrJ9.png

https://i.imgur.com/CpK0rAf.png

[gixajo]

Las puedes poner aquí?

Las poblaciones? las ha puesto él en el thread hace poco.


Spanish_Andalucia:AND10,0.10927,0.139128,0.033941, 0.001938,0.041546,0.004462,0.003525,0.002308,0.034 155,0.038087,0.001461,0.018434,-0.016947,-0.012937,0.004343,0.001458,-0.01343,-0.00266,-0.002388,0.003252,0.001497,-0.003339,0.000863,-0.007109,-0.004191
Spanish_Andalucia:AND14,0.108132,0.147252,0.032432 ,-0.004199,0.050779,-0.011435,-0.00141,-0.006,0.027202,0.025331,-0.001949,0.007343,-0.016055,-0.009221,0.014251,-0.002652,-0.000261,-0.003927,-0.006285,0.003001,0,-0.005193,0.006655,-0.00012,0.002155
Spanish_Andalucia:AND18,0.111547,0.144205,0.048649 ,-0.004845,0.037545,0,-0.00047,0.011999,0.027406,0.038999,-0.003735,0.007793,-0.019029,-0.012248,0.008822,0.006099,-0.005346,-0.004941,0.003017,0.001251,-0.001622,0.004451,-0.003081,-0.00494,0.003113
Spanish_Andalucia:AND2,0.100164,0.144205,0.036204, 0.002261,0.049548,-0.008646,-0.00564,0.002538,0.029656,0.023873,0.002761,0.0041 96,-0.003865,-0.006881,0.014522,-0.008486,-0.014473,0.005701,-0.007919,0.001751,0.011605,-0.005193,-0.003451,-0.002289,0.004071
Spanish_Andalucia:AND33,0.113823,0.149283,0.035826 ,-0.000646,0.048624,-0.00251,0.000235,0.004846,0.02127,0.03827,-0.002111,0.005095,-0.015907,-0.014863,0.0057,0.004773,-0.000522,0.005194,-0.003017,-0.000875,0.006239,0.006183,-0.010599,-0.007591,0.006706
Spanish_Andalucia:AND36,0.105855,0.140143,0.033941 ,-0.00646,0.047086,-0.013945,-0.000705,0.002769,0.033542,0.031162,-0.001786,0.002997,-0.013231,-0.005918,0.005836,-0.013126,-0.012517,-0.002154,-0.003268,-0.005503,0.001248,-0.00272,-0.008627,-0.000241,0.005508
Spanish_Andalucia:AND39,0.110408,0.145221,0.038843 ,-0.000969,0.036007,-0.002789,-0.00282,0.001846,0.012271,0.023326,-0.002436,0.007343,-0.009514,-0.013625,0.013029,0.006629,0.019166,-0.00152,0.004274,-5e-04,0.000499,-0.003215,-0.001972,-0.009037,0.005628
Spanish_Andalucia:AND4,0.110408,0.148267,0.042238,-0.000646,0.050163,-0.009203,-0.00423,0.000462,0.031497,0.036629,0.001624,0.0098 91,-0.012785,-0.003578,0.005429,-0.003845,-0.01682,-0.000633,-0.003142,-0.002626,0.007612,-0.000495,-0.000863,-0.013255,0.002395
Spanish_Andalucia:AND43,0.110408,0.146236,0.041483 ,-0.001938,0.044008,-0.01506,0.005405,0.004846,0.021884,0.026971,0.0001 62,0.003897,-0.017839,-0.012386,0.008279,-0.000133,-0.004955,0.003801,0.003897,0.004127,0.011854,0.002 102,0.000616,-0.008435,0.001916
Spanish_Andalucia:AND46,0.114961,0.147252,0.037712 ,-0.00323,0.051702,0.001673,-0.00705,-0.004154,0.017998,0.027882,-0.004709,0.010491,-0.012339,-0.008395,0.021715,-0.008353,-0.015385,-0.003421,-0.007793,-0.011881,0.000998,0.000866,0.00037,-0.010001,-0.001197
Spanish_Andalucia:AND7,0.111547,0.145221,0.027153,-0.015181,0.043085,-0.008088,-0.00799,-0.001385,0.02168,0.033714,-0.008282,0.006294,-0.001635,-0.01156,0.007736,0.005701,0.00665,0,-0.005908,-0.008879,-0.000749,-0.003586,0.00456,0.001205,-0.001916
Spanish_Andalucia:AND75,0.108132,0.144205,0.02753,-0.005814,0.053856,-0.01255,-0.00047,0.004154,0.024747,0.035354,-0.003248,0.005245,-0.010406,-0.02202,0.013979,0.007955,0.011474,-0.007855,-0.01433,0.004502,0.00025,-0.005317,-0.00912,0.001928,0.002754
Spanish_Andalucia:AND77,0.097888,0.150298,0.037335 ,-0.003553,0.044931,-0.00753,-0.003995,0.010384,0.032519,0.03098,-0.001137,0.011839,-0.012933,-0.007432,0.010993,-0.007292,-0.022296,-0.002407,-0.016089,-0.009004,0.002246,-0.001113,-0.001479,-0.002048,-0.005389
Spanish_Andalucia:AND80,0.101303,0.140143,0.032432 ,0.000323,0.044931,-0.004462,-0.00846,0.004154,0.026179,0.033167,-0.005196,0.002698,-0.013528,-0.013349,0.019544,-0.000663,-0.012517,-0.004941,-0.007165,-0.006628,-0.005989,-0.005688,-0.005793,-0.010363,0.008981
Spanish_Andalucia:AND84,0.108132,0.144205,0.036958 ,-0.006137,0.054779,-0.006693,-0.00047,0.004154,0.024952,0.028064,0,0.004646,-0.015163,-0.001927,0.007193,-0.011403,-0.012647,-0.001267,-0.005656,0.003377,0.002371,0.000371,-0.001232,-0.007953,0.005748
Spanish_Andalucia:AND86,0.103579,0.151314,0.030924 ,-0.001938,0.031083,-0.001952,0.000705,0.006923,0.025975,0.029522,-0.002273,0.01169,-0.017096,-0.013762,0.012758,-0.010607,-0.014864,0.0019,-0.002137,-0.002501,0.006114,0.000495,-0.000863,-0.008676,0.000599
Spanish_Andalucia:HG01619,0.113823,0.149283,0.0275 3,0.001615,0.040623,-0.001673,-0.00141,0.002538,0.016975,0.033896,-0.003573,0.007343,-0.019177,-0.013212,0.00855,0.001193,0.002086,0.001394,-0.000628,-0.006753,0.004367,-0.000618,0.002588,-0.00253,0.005149
Spanish_Andalucia:HG01620,0.110408,0.147252,0.0403 52,-0.007429,0.042777,-0.004183,0.00047,0.001846,0.016771,0.024602,-0.003248,0.004046,-0.009663,-0.018029,0.009093,-0.01074,-0.01369,-0.003421,-0.004777,-0.008754,0.005865,-0.001237,-0.00456,-0.006627,-0.002036
Spanish_Andalucia:HG01623,0.104717,0.152329,0.0369 58,-0.008398,0.046778,-0.006693,-0.00188,-0.003692,0.022907,0.032256,-0.003248,0.006894,-0.013825,-0.015414,0.00285,-0.003978,0.002999,0.000253,-0.001634,0.002126,0.001248,-0.001484,-0.001479,-0.003253,-0.004191
Spanish_Aragon:HG01673,0.119514,0.146236,0.040729, 0.00323,0.043085,0.000558,0.00141,0.003461,0.02024 8,0.034443,0.002273,0.008093,-0.014123,-0.020919,0.009772,-0.001724,0.001043,-0.001394,-0.006285,0.00025,0.003369,0.000742,-0.002465,-0.002771,-0.005149
Spanish_Aragon:HG01675,0.118376,0.145221,0.042615, 0.001292,0.041238,0,-0.000705,0.003923,0.02986,0.039363,-0.006496,0.007194,-0.013677,-0.016102,0.016422,0.002121,-0.002217,-0.00152,-0.00176,0.003627,0.003244,-0.007914,0.00037,-0.00964,0.005868
Spanish_Aragon:HG01676,0.122929,0.150298,0.048271,-0.00323,0.055703,-0.003626,-0.00094,-0.003923,0.022907,0.037541,-0.002111,0.008992,-0.023637,-0.012524,0.007329,0.004508,-0.002608,-0.00076,-0.000503,0.002876,-0.001747,0.001113,-0.000616,0.002289,0.002634
Spanish_Aragon:HG01678,0.117238,0.144205,0.033941,-0.002584,0.047393,0.00251,-0.00188,0.008307,0.026588,0.036265,-0.002273,0.016935,-0.019177,-0.001789,0.017508,-0.016043,-0.015255,0.000507,-0.000377,-0.002751,0.008984,0.00643,-0.001972,0.005904,-0.004311
Spanish_Canarias:CAN1,0.060326,0.148267,0.028284,-0.018411,0.03693,-0.008646,-0.00282,-0.004615,0.036201,0.031891,-0.002923,0.003147,-0.003271,-0.020093,0.004886,0.007558,0.0103,-0.010769,-0.015209,0.006378,-0.002496,-0.004822,0.006655,0.004458,-0.002275
Spanish_Canarias:CAN10,0.066017,0.151314,0.024136,-0.010659,0.044008,-0.005299,-0.006345,0.011999,0.03886,0.03262,0.005846,0.00449 6,-0.005798,-0.019405,0.006515,-0.00053,0.0103,-0.00152,-0.005154,-0.001876,0.002121,-0.003462,0.001849,0.007832,0.005987
Spanish_Canarias:CAN11,0.08992,0.14319,0.025644,-0.020026,0.035083,-0.006414,-0.00423,0.000923,0.034974,0.034807,-0.008769,0.008393,-0.004906,-0.013349,0.004886,-0.001458,-0.004563,-0.00038,-0.01081,-0.002501,0.00025,-0.002102,-0.000739,-0.005784,0.001317
Spanish_Canarias:CAN12,0.085367,0.151314,0.029793,-0.007429,0.037853,-0.005299,-0.00611,-0.004846,0.02986,0.02606,-0.008444,0.006145,-0.014866,-0.016928,0.015608,-0.011005,-0.015125,-0.001394,-0.010433,0.000625,0.004367,-0.007914,0.004314,-0.002048,0.006227
Spanish_Canarias:CAN1220,0.075123,0.144205,0.03544 9,-0.015827,0.026159,-0.001673,-0.00376,0,0.023316,0.017677,-0.000325,0.000599,-0.006095,-0.006193,0.008958,-0.002519,-0.001043,-0.003041,-0.011941,-0.00075,-0.000998,-0.010881,0.001602,0.000723,-0.002155
Spanish_Canarias:CAN13,0.064879,0.146236,0.028661,-0.017442,0.040623,-0.010598,-0.011045,0.005077,0.030679,0.030069,0.005034,0.006 594,-0.013082,-0.011698,0.017915,-0.004906,-0.013299,-0.004054,-0.017346,-0.002251,0.007861,-0.009027,-0.001479,-0.006266,0.002155
Spanish_Canarias:CAN17,0.083091,0.148267,0.023759,-0.012274,0.043085,-0.005857,0.001175,-0.002769,0.023111,0.024966,-0.010393,0.004946,-0.00223,-0.017891,0.005836,0.015778,0.010952,-0.006334,-0.010433,-0.00075,-0.004243,-0.006801,0.002711,-0.000361,-0.006347
Spanish_Canarias:CAN18,0.092197,0.138112,0.034695,-0.005491,0.039392,-0.003347,-0.00047,0.000923,0.038655,0.033531,0.000974,0.0103 41,-0.011001,-0.018304,0.009908,-0.002519,0.001956,-0.006208,-0.00352,0.008754,-0.002745,0.005564,0.000986,-0.00494,0.004071
Spanish_Canarias:CAN19,0.088782,0.151314,0.032432,-0.017442,0.041854,-0.008367,-0.012691,-0.005307,0.043973,0.02278,-0.004222,-0.003747,-0.006838,-0.005092,0.012486,-0.003713,-0.006258,-0.008488,-0.014581,0.005503,0.007237,-0.009521,-0.000123,0.00012,0.002036
Spanish_Canarias:CAN1920,0.076261,0.150298,0.03733 5,-0.005168,0.041546,-0.008367,-0.003995,-0.001385,0.031906,0.030069,-0.000325,0.01169,-0.004608,-0.009909,0.017101,0.002652,0.009127,0.003801,-0.011187,0.008629,0.003868,-0.009892,0.00037,-0.009037,-0.000479
Spanish_Canarias:CAN2,0.063741,0.137096,0.032432,-0.012597,0.030467,-0.011992,-0.005405,0.000923,0.026384,0.027518,0.007795,0.007 793,-0.013082,-0.015827,0.010993,-0.003315,-0.007041,-0.007981,-0.004651,0.006878,-0.003119,-0.002102,0.005669,-0.008435,0.00479
Spanish_Canarias:CAN3,0.092197,0.135065,0.032809,-0.008075,0.038469,-0.001673,-0.00564,-0.002077,0.030679,0.030798,0.000812,0.008243,-0.005946,-0.007156,0.001086,0.001326,-0.005607,-0.007095,-0.013952,0.003502,0,-0.011747,0.003944,-0.00494,0.005508
Spanish_Canarias:CAN4,0.092197,0.145221,0.028284,-0.013243,0.046162,0.001673,-0.014571,-0.004154,0.033337,0.034625,-0.003248,0.002248,-0.002973,-0.020781,0.002443,-0.013789,-0.000913,-0.004434,-0.014455,-0.001,0.003244,-0.012984,-0.002711,-0.005061,0.010538
Spanish_Canarias:CAN884,0.101303,0.147252,0.036581 ,-0.011951,0.033852,-0.00251,-0.00705,0.002077,0.022498,0.028793,0.008444,0.0089 92,-0.011298,-0.01101,0.019137,0.002254,-0.00326,0.000253,-0.008422,0.003627,0.001497,-0.001113,0.000863,-0.005422,0.008263
Spanish_Canarias:CAN9,0.097888,0.149283,0.026776,-0.002261,0.03139,-0.004741,-0.011045,0.005769,0.02986,0.021139,0.009743,0.0035 97,-0.005203,-0.007707,0.008686,-0.003978,-0.012386,0.007221,-0.006159,-0.005628,-0.000749,-0.004575,-0.000123,-0.011327,-0.002754
Spanish_Canarias:CAN924,0.063741,0.148267,0.020742 ,-0.021964,0.027082,-0.005299,-0.012456,0.004384,0.033542,0.032256,-0.004547,0.001798,-0.000892,-0.017203,0.013301,0.002784,0.000782,-0.004814,-0.02074,-0.004877,-0.000125,-0.017311,0.006039,0.000361,-0.006706
Spanish_Canarias:CAN956,0.087644,0.14319,0.032432,-0.013243,0.039392,-0.01004,-0.01034,-0.000231,0.03211,0.032256,-0.004222,0.005245,-0.002081,-0.012386,0.015744,-0.002652,-0.007171,0.000127,-0.00729,-0.002126,-0.002995,0.000989,0.000863,-0.003856,-0.001317
Spanish_Canarias:HG01694,0.081953,0.148267,0.03130 1,-0.015504,0.039084,-0.008925,-0.00282,0.005769,0.024952,0.026789,-0.000487,0.002847,-0.010555,-0.012799,0.018729,-0.009281,-0.011735,-0.006081,-0.008045,-0.000125,0.00262,-0.009645,0.00037,-0.003735,0.00012
Spanish_Canarias:HG01695,0.081953,0.142174,0.03356 4,-0.01615,0.04647,-0.010877,-0.00376,0.003,0.035587,0.033349,-0.000162,0.006594,-0.011596,-0.015001,0.015201,-0.014452,-0.007041,-0.005068,-0.01169,-0.003252,-0.004118,-0.004822,0.000123,-0.00723,0.003353
Spanish_Cantabria:HG01512,0.122929,0.148267,0.0497 8,0.009367,0.045855,-0.004741,-0.003055,0.002308,0.023316,0.029522,-0.00747,0.009142,-0.016055,-0.019955,0.013029,0.001326,0.000652,0.004941,-0.004399,-0.007504,0.003619,-0.000742,-0.008504,-0.00735,0.001676
Spanish_Cantabria:HG01513,0.120652,0.146236,0.0414 83,0.007429,0.050779,-0.008646,0.00094,0.000923,0.022702,0.036812,-0.003897,0.008243,-0.016947,-0.014863,0.006107,0.001458,-0.007823,0.000633,-0.004525,-0.004502,0.002995,0.006183,-0.006655,0.000241,-0.002036
Spanish_Cantabria:HG01679,0.114961,0.148267,0.0418 6,0.000969,0.0437,-0.004462,0.00047,0.002538,0.024747,0.037905,-0.005521,0.008542,-0.022894,-0.015827,0.008143,0.002121,-0.00339,-0.001774,-0.00729,-0.002376,0.001747,-0.003215,-0.002711,0.001807,0.002395
Spanish_Castello:ALB231,0.122929,0.14319,0.040352, 0.001292,0.046162,0.006136,-0.006345,-0.000231,0.019021,0.035354,-0.006496,0.008992,-0.015163,-0.018441,0.011129,-0.002652,0.01004,0.007855,0.000503,-0.004002,0.007861,0.002597,0.003451,-0.001205,-0.003712
Spanish_Castello:BOS027,0.121791,0.142174,0.039975 ,-0.002261,0.045239,-0.005857,0.00047,0.001846,0.023111,0.036265,-0.011367,0.010641,-0.01888,-0.011836,0.004343,0.011138,0.006389,-0.004054,-0.00264,-0.004502,0.008735,-0.000618,-0.006162,-0.009881,0.003353
Spanish_Castello:CAR023,0.121791,0.140143,0.041106 ,0.00646,0.037853,0.003626,-0.00235,0.003923,0.022702,0.030433,-0.005034,0.008243,-0.015015,-0.017753,0.0057,0.012596,0.007041,-0.000633,0.000251,0.002876,0.005989,0.007419,-0.00949,0.000361,-0.000958
Spanish_Castello:CAR200,0.125205,0.150298,0.049026 ,-0.004199,0.053856,0.000558,0.00047,-0.000692,0.031088,0.030616,0.002273,3e-04,-0.02215,-0.017616,0.011401,0.005436,-0.004563,0.004054,-0.000628,0.005878,0.007861,-0.00643,-0.005793,0.002048,0.012454
Spanish_Castello:FER033,0.120652,0.157407,0.054305 ,0.011628,0.046778,0.001673,0.002115,0.001846,0.02 4747,0.043737,-0.007795,0.004196,-0.014569,-0.013074,-0.001493,0.001989,0.00013,0.000507,0.004274,-0.001,0.009234,0.001731,-0.002835,-0.001566,0.004071
Spanish_Castello:PIT001,0.111547,0.15436,0.038466,-0.001292,0.044316,-0.011435,0.00188,0.003,0.021884,0.037723,-0.00341,0.004646,-0.015163,-0.015689,0.012351,0.008353,-0.003651,0.000507,0.00264,-0.002501,-0.004367,-0.001113,-0.01368,-0.001566,-0.007424
Spanish_Castello:SAB019,0.118376,0.136081,0.041106 ,-0.003553,0.042777,-0.005578,-0.004465,-0.001385,0.025565,0.029704,-0.00747,0.01094,-0.010852,-0.011423,0.011672,-0.003978,0.003912,0.00152,-0.010559,0.001376,0.005116,-0.000742,-0.010353,-0.003374,-0.003832
Spanish_Castilla_La_Mancha:HG01503,0.118376,0.1492 83,0.037712,-0.003553,0.038161,-0.00502,0.001645,0.001385,0.022089,0.030433,-0.002273,0.006294,-0.015312,-0.022157,0.008958,0.009679,0.001043,0.00038,-0.006536,-0.006503,0.007986,0.003339,-0.004807,-0.006748,-0.002036
Spanish_Castilla_La_Mancha:HG01504,0.112685,0.1452 21,0.036204,-0.009367,0.0437,-0.007809,0.00188,0.003461,0.024747,0.038634,-0.002273,0.007493,-0.019772,-0.014588,0.016151,0.006232,0.001565,-0.003041,-0.000503,-0.001751,0.00262,0.001978,-0.001725,-0.001928,-0.006227
Spanish_Castilla_La_Mancha:HG01746,0.118376,0.1492 83,0.043369,0.001292,0.047393,-0.003347,-0.000235,0.002308,0.02127,0.037541,-0.008769,0.01109,-0.020664,-0.008257,0.007329,-0.012198,-0.017993,0.001774,0.004525,0.000375,0.007487,-0.004081,0.000739,-0.002651,0.005269
Spanish_Castilla_La_Mancha:HG02238,0.112685,0.1482 67,0.044123,-0.001292,0.039084,-0.003068,-0.010105,-0.000231,0.030474,0.029158,0.004872,0.009891,-0.005352,-0.004542,0.008686,-0.007955,-0.008736,0.000127,0.002011,0.005127,0.003743,0.004 699,0.001602,-0.004217,-0.001317
Spanish_Castilla_Y_Leon:HG01500,0.105855,0.142174, 0.038843,-0.006137,0.041238,0.001116,0.000235,0.003692,0.030 065,0.028611,-0.005359,0.009741,-0.011298,-0.010597,0.013843,-0.009016,-0.012647,0.000507,-0.003645,-0.013381,-0.001747,-0.005317,0.003697,-0.005904,-0.007065
Spanish_Castilla_Y_Leon:HG01501,0.103579,0.141159, 0.0445,-0.001615,0.045239,0.001673,-0.00423,0.007384,0.029451,0.026606,0.000812,0.0059 95,-0.008176,-0.007844,0.009908,-0.009679,-0.008996,-0.002027,-0.006285,5e-04,0.002246,0.003215,0.005423,-0.001566,0.000958
Spanish_Castilla_Y_Leon:HG01506,0.113823,0.148267, 0.038089,0.001292,0.044931,0.002789,-0.001175,0.002769,0.02577,0.032438,-0.002436,0.007793,-0.016799,-0.017616,0.013029,-0.000928,0.001304,-0.003674,-0.003645,0.006003,0.000374,-0.000618,-0.005176,-0.000241,-0.002155
Spanish_Cataluna:HG01536,0.112685,0.141159,0.05166 6,0.008075,0.046778,-0.004741,-0.001175,0.004615,0.017589,0.030069,-0.001949,0.009741,-0.01665,-0.015689,0.006922,0.011933,0.015255,-0.00114,0.001634,0.001126,0.010981,-0.005935,-0.009613,-0.001446,-0.00012
Spanish_Cataluna:HG01537,0.119514,0.147252,0.03959 8,0,0.043393,-0.000837,0.000705,-0.000231,0.021884,0.023873,-0.000812,0.010491,-0.013677,-0.011973,0.009908,0.002519,0.003129,-0.003421,-0.001885,-0.002876,0.008235,-0.002844,0.003574,-0.002892,0.002754
Spanish_Cataluna:HG01761,0.111547,0.150298,0.04638 6,-0.000969,0.051394,0.005578,-0.00564,0.002769,0.027611,0.037541,-0.002923,0.005545,-0.017691,-0.004266,0.009772,-0.009679,-0.02034,-0.00038,-0.003142,-0.001126,-0.000624,-0.008408,-0.005669,-0.001446,0.000239
Spanish_Catalunya_Central:CAL107,0.122929,0.153345 ,0.042238,0.001292,0.048009,-0.003626,-0.000705,0.001154,0.013703,0.035354,-0.006496,0.007493,-0.01888,-0.021744,0.016829,0.015911,0.003651,0.004434,-0.002011,-0.008504,-0.001747,0.003586,-0.001972,-0.000241,0.001437
Spanish_Catalunya_Central:CAR007,0.119514,0.147252 ,0.031301,-0.004522,0.04647,-0.003068,0.004465,-0.002077,0.01943,0.020957,0.000487,0.001199,-0.011001,-0.011285,0.011808,0.019888,0.001304,0.005448,-0.000377,-0.003502,0.007986,0.001731,-0.000246,0.003494,-0.007784
Spanish_Catalunya_Central:CAR048,0.126344,0.146236 ,0.05242,0.01292,0.053856,0.00251,0.005875,0.00461 5,0.024543,0.023508,-0.007795,0.006744,-0.016353,-0.021607,0.004886,0.010077,0.01356,0.008615,-0.00176,0.004127,0.007612,0.003833,-0.001725,-0.00012,-0.003233
Spanish_Catalunya_Central:COD068,0.125205,0.142174 ,0.044123,0.005814,0.042162,0.004741,0.007755,0.00 3692,0.02127,0.0277,-0.003897,0.007643,-0.01442,-0.006468,0.0038,-0.005304,-0.015907,0.00114,0.009553,-0.009379,0,0.005441,-0.001602,-0.00012,0.001796
Spanish_Catalunya_Central:MAS003,0.124067,0.147252 ,0.048271,0.004845,0.044008,0.000279,-0.004935,-0.010153,0.022089,0.031891,0.003085,0.007343,-0.012339,-0.008945,-0.003936,0.005304,-0.001434,-0.001014,-0.001634,0.001626,0.006114,-0.000247,0.00037,-0.010965,0.008502
Spanish_Catalunya_Central:SOL051,0.125205,0.148267 ,0.038466,-0.001615,0.047701,0.000837,-0.008225,-0.003461,0.014317,0.036629,0.000162,0.003147,-0.012636,-0.01101,0.007465,-0.003315,-0.004172,-0.001647,-0.005531,0.005503,0.004243,0.000371,-0.002835,-0.006386,-0.002754
Spanish_Catalunya_Central:SOL083,0.122929,0.152329 ,0.051666,-0.00323,0.048932,0.004183,0.00188,0.001154,0.02086 1,0.026606,-0.003248,0.007343,-0.016204,-0.010184,0.008822,-0.001989,-0.008084,-0.006461,0.008799,0,-0.000125,0.004204,-0.001479,-0.004458,-0.00455
Spanish_Catalunya_Central:VID044,0.129758,0.149283 ,0.041106,-0.005168,0.042162,0.005857,0,0.009692,0.022089,0.0 277,-0.003573,0.01109,-0.020664,-0.012248,0.007193,-0.003447,0.010691,-0.002154,-0.011187,-0.005378,0.001747,-0.002473,-0.002711,-0.002289,-0.003592
Spanish_Catalunya_Central:VID057,0.122929,0.157407 ,0.047517,0.008721,0.046778,0.003068,-0.007755,0.004154,0.031701,0.030433,-0.004709,0.005845,-0.01219,-0.00812,0.011265,0.00769,0.00326,0.003547,-0.003142,0.002876,0.000624,-0.001484,0.006162,-0.00253,0.003712
Spanish_Galicia:GAL11,0.108132,0.146236,0.049403,-0.001615,0.039392,0.005578,-0.010105,0.004846,0.03027,0.033349,-0.004547,0.001948,-0.013677,-0.015414,0.005157,-0.00305,0.001434,0.001394,-0.000126,0.002376,0.001123,-0.002844,-0.004314,-0.007471,0.00455
Spanish_Galicia:GAL15,0.10927,0.145221,0.0445,0.00 4199,0.042777,-0.00502,-0.00047,-0.005307,0.02127,0.025331,-0.006658,0.011839,-0.007284,-0.026286,0.0095,0.0118,0.015255,-0.005954,-0.011187,-0.002001,0.007487,-0.003339,-0.000986,-0.001446,-0.000838
Spanish_Galicia:GAL16,0.108132,0.144205,0.050157,-0.000323,0.032929,0.003626,-0.009635,-0.004615,0.019634,0.025331,-0.005359,0.008243,-0.013825,-0.003991,0.012758,-0.005171,-0.011474,0.003041,-0.005908,5e-04,-0.001248,0.00507,0.000616,0.003976,0.006945
Spanish_Galicia:GAL20,0.114961,0.148267,0.034318,-0.004522,0.036314,-0.002231,-0.0047,0.000462,0.022907,0.018588,-0.006333,0.002548,-0.01219,0.000963,0.012622,-0.010475,-0.022817,0.008488,-0.006913,0.00075,0.005116,0.008532,-0.000739,-0.001566,-0.010658
Spanish_Galicia:GAL21,0.100164,0.148267,0.0445,0.0 01292,0.042162,0.003904,-0.008695,-0.009461,0.020657,0.031345,0.003735,-0.00015,-0.012487,-0.005367,0.011536,-0.009016,-0.006128,-0.008235,-0.008673,-0.007879,-0.006239,-0.000247,-0.002465,-0.01217,0.007424
Spanish_Galicia:GAL24,0.112685,0.151314,0.045254,0 .004522,0.045547,-0.004183,-0.01081,0.002308,0.022907,0.028976,-0.002273,0.003147,-0.017691,-0.016652,0.0038,-0.002652,-0.02386,-0.00076,-0.009427,-0.002626,0.002995,-0.006925,-0.007272,-0.009399,0.005029
Spanish_Galicia:GAL25,0.1161,0.145221,0.047894,-0.010013,0.042162,-0.003068,-0.0094,0.000692,0.02802,0.037176,-0.003085,0.006145,-0.017542,-0.011423,0.011536,0.003713,0.014342,-0.001394,-0.00817,0.003877,0.003743,-0.003586,-0.004437,-0.004338,0.004431
Spanish_Galicia:GAL26,0.112685,0.148267,0.038843,0 .002584,0.03693,-0.004183,-0.00658,-0.003,0.023111,0.036994,-0.001949,0.012739,-0.016204,-0.021332,0.011265,0.000928,0.011213,-0.000633,0.00264,-0.005503,-0.005366,-0.012613,0.00456,-0.00494,0.004071
Spanish_Galicia:GAL3,0.108132,0.146236,0.045632,0. 003876,0.037853,-0.001952,-0.003055,0.002077,0.019021,0.022597,-0.000325,-0.002398,-0.012487,-0.016515,0.016829,0.000796,-0.007953,-0.000507,-0.010182,0.003126,0.004243,-0.001607,0.001479,-0.004579,0.003113
Spanish_Galicia:GAL35,0.103579,0.148267,0.036958,0 .001938,0.032006,0.009482,-0.00846,0.003,0.031088,0.031345,-0.00406,0.001798,-0.009514,-0.007569,0.015065,-0.000265,-0.013821,-0.001647,-0.002514,-0.005378,-0.000873,-0.00272,-0.00419,-0.013134,0.002874
Spanish_Galicia:GAL44,0.117238,0.148267,0.035072,-0.010336,0.048317,0.000279,-0.006345,0.01223,0.029042,0.034443,-0.000974,0.007343,-0.015015,-0.008257,0.015608,-0.00769,-0.02712,-0.000633,0.001383,-0.006003,0.007112,0.00136,0.001109,-0.010965,0.005389
Spanish_Galicia:GAL48,0.110408,0.149283,0.035449,-0.010013,0.041854,0.001116,0,0.004846,0.02127,0.03 0433,-0.002761,0.013038,-0.013231,-0.007707,0.009772,-0.00411,-0.004824,-0.005448,-0.013701,-0.002126,-0.001373,-0.010263,-0.005916,0.003133,-0.008143
Spanish_Galicia:GAL71,0.106994,0.146236,0.032432,-0.00646,0.045547,0.004462,-0.00752,0.009692,0.025361,0.043372,-0.003085,0.006594,-0.016799,-0.011285,0.010858,0.009679,0.000261,-0.0019,0.00352,-0.005127,-0.000749,-0.003586,0.002835,0.007832,0.000359
Spanish_Galicia:GAL74,0.112685,0.149283,0.041106,0 .000323,0.049855,-0.000837,0.000235,0.009692,0.021475,0.026971,0.010 23,0.005845,-0.006838,-0.008945,0.010993,-0.001458,-0.00665,-0.002534,-0.005405,-0.003377,-0.000998,-0.010016,0.003944,-0.006386,-0.003832
Spanish_Galicia:GAL8,0.105855,0.141159,0.039975,-0.002584,0.044624,-0.003904,-0.00235,0.004615,0.02802,0.032074,-0.007632,0.008093,-0.01219,-0.011973,0.015608,-0.008884,-0.011474,-0.006841,-0.007039,0,0.003993,0.000124,0.006409,0.005543,-0.001796
Spanish_Galicia:HG01685,0.101303,0.144205,0.036204 ,-0.007106,0.044624,-0.005578,-0.00517,-0.001154,0.020861,0.026789,-0.001949,0.005545,-0.008028,-0.020506,0.011672,0.015513,0.01695,-0.007348,-0.006536,0.006253,-0.001622,-0.002226,-0.002958,0.000602,-0.003952
Spanish_Galicia:HG01686,0.10927,0.145221,0.047894, 0.012597,0.040315,-0.000837,-0.000705,0.009461,0.033951,0.023508,0.001624,0.003 597,-0.012339,-0.01445,0.011401,0.017634,0.001695,-0.004307,-0.000754,0.002626,-0.000125,-0.000124,-0.000246,-0.007109,0.00467
Spanish_Galicia:HG01704,0.100164,0.141159,0.033564 ,-0.008075,0.038469,0.001673,-0.004465,0.003231,0.025975,0.031891,-0.002923,0.007343,-0.009663,-0.012111,0.004614,0.003315,-0.001304,-0.003674,-0.00176,0.002376,-0.001497,-0.007172,-0.001972,-0.003856,0.003832
Spanish_Girona:BOS011,0.118376,0.142174,0.043369,0 .010659,0.039084,0.001952,-0.003995,0.008769,0.017998,0.030069,-0.002111,0.008243,-0.015907,-0.017478,0.010179,0.005569,-0.000391,-0.00152,0.003017,-0.001751,0.006239,0.000124,-0.003944,-0.001446,-0.005508
Spanish_Pais_Vasco:HG01515,0.132035,0.148267,0.056 945,0.006137,0.050471,0.003626,0.003055,0.003923,0 .029042,0.037905,-0.006171,0.009591,-0.015758,-0.013212,0.017508,0.002917,-0.004303,0.004307,0.001508,-0.001126,0.007986,-0.001237,-0.00986,-0.008435,0.006706
Spanish_Pais_Vasco:HG01516,0.126344,0.155376,0.057 322,0.011628,0.054779,-0.00251,-0.001645,0.001615,0.029451,0.040821,-0.012342,0.007044,-0.023934,-0.013074,0.020901,-0.004508,-0.018906,0.003674,0.001634,-0.007629,0.008859,-0.001237,-0.007518,-0.008676,0.002634
Spanish_Pais_Vasco:HG01518,0.126344,0.151314,0.054 682,0.00646,0.051086,0.006136,-0.000705,0.003231,0.024747,0.040821,0.000812,0.011 39,-0.023488,-0.009909,0.016829,-0.005834,-0.013821,0.000633,0.00352,-0.011005,0.006364,-0.004822,-0.002218,-0.003133,0.001676
Spanish_Valencia:ALB126,0.112685,0.141159,0.047894 ,0.002907,0.054472,-0.004183,-0.00235,0.001154,0.025975,0.028793,-0.011854,0.002098,-0.005352,-0.012248,0.023208,0.001591,-0.004694,-0.00266,0.000377,0.001751,0.000998,-0.001731,-0.001232,-0.011568,0.004071
Spanish_Valencia:ALB389,0.114961,0.142174,0.038843 ,-0.003876,0.035391,-0.005299,-0.00376,-0.000923,0.032315,0.031709,-0.004547,0.010341,-0.007136,-0.003716,0.001629,0.009149,0.014733,-0.002914,-0.002263,-0.00075,0.013102,-0.006801,0.006655,0.007471,0.003952
Spanish_Valencia:BON076,0.1161,0.146236,0.050911,-0.004845,0.0437,-0.006972,-0.007755,-0.003,0.025565,0.034078,0.003735,0.006894,-0.013379,-0.009083,0.004072,-0.006099,-0.000782,0.003547,-0.000503,-0.001501,-0.000873,0.003586,-0.008504,-0.010122,0.012813
Spanish_Valencia:BOS010,0.119514,0.145221,0.042238 ,0.00646,0.057857,-0.00251,-0.001175,-0.000692,0.023111,0.031345,-0.007307,0.005695,-0.008474,-0.020781,0.008143,0.012596,0.008736,-0.003294,-0.004651,0.001126,-0.001248,-0.009769,-0.006532,-0.003615,0.002395
Spanish_Valencia:EST038,0.122929,0.140143,0.040352 ,-0.001938,0.048932,0.001116,0.00094,-0.000923,0.023111,0.040092,0.006008,0.008992,-0.017988,-0.010322,0.005022,-0.002784,0.002868,0.004561,0.002011,-0.002751,0.008111,-0.006925,-0.00037,-0.010483,-0.007544
Spanish_Valencia:EST093,0.10927,0.139128,0.035826,-0.000323,0.04647,-0.00502,-0.00282,0.009692,0.01718,0.037905,-0.006171,0.012589,-0.014569,-0.022432,0.009636,-0.002121,-0.004172,-0.006081,-0.001131,0.001376,0.007112,-0.000247,0.000986,-0.006145,-0.005868
Spanish_Valencia:FER097,0.117238,0.144205,0.039975 ,-0.008721,0.050163,0.007251,0.002585,0.005077,0.021 066,0.033167,-0.008282,0.014687,-0.017691,-0.010046,0.013572,0.002519,0.007823,-0.003421,-0.000126,0.00075,0.005615,-0.004081,0.002711,-0.010363,0.001437
Spanish_Valencia:GRA016,0.118376,0.148267,0.039598 ,0.002584,0.0437,0.001116,0.001175,-0.001154,0.030883,0.028976,-0.000974,0.01139,-0.017245,-0.011698,0.018051,0.005967,-0.011995,-0.005701,-0.002765,-0.00025,0.008984,0.002844,0.0053,-0.001446,0.005748
Spanish_Valencia:HG01605,0.120652,0.144205,0.03997 5,0.000969,0.043393,-0.003068,-0.007285,0.001846,0.022089,0.036629,-0.003897,0.005245,-0.015461,-0.012799,0.000271,-0.009016,-0.016037,0.001394,-0.000251,0.002251,0.006988,0.005935,-0.006532,-0.001084,-0.001197
Spanish_Valencia:HG01606,0.125205,0.150298,0.04600 9,0.000969,0.048317,0.00502,-0.002585,0.001154,0.022089,0.037905,-0.003573,0.002398,-0.009812,-0.016377,0.010586,-0.008088,-0.02021,-0.001267,-0.003771,-0.003627,0.006239,-0.003091,-0.006162,-0.002289,0.004191
Spanish_Valencia:HG01607,0.119514,0.146236,0.03054 7,0.000323,0.040623,-0.00502,-0.003995,0.003461,0.016771,0.028976,0.005521,0.008 842,-0.016501,-0.012248,0.01045,-0.006099,-0.017993,-0.003421,-0.003142,-0.006128,0.006364,0.001113,-0.003944,-0.003253,0.003712
Spanish_Valencia:SOL084,0.119514,0.148267,0.038089 ,-0.005168,0.044624,0.000279,0.003055,0.003923,0.017 794,0.029522,-0.004709,0.01079,-0.010704,-0.006331,0.010586,-0.007823,-0.014603,-0.001394,0.001383,-0.003252,0.00549,0.00272,-0.006902,-0.008796,0.000958
Basque_French:HGDP01357,0.121791,0.157407,0.05242, 0.006137,0.055395,0.000279,-0.000705,0.007846,0.030474,0.042825,-0.009743,0.013488,-0.023191,-0.007294,0.011943,0.000928,-0.018515,-0.00266,-0.002137,-0.001,0.007861,0.00779,-0.011462,-0.013496,0.003592
Basque_French:HGDP01358,0.127482,0.151314,0.055814 ,0.008721,0.05601,0.001394,-0.006815,0.004615,0.032724,0.042643,-0.007145,0.008093,-0.016353,-0.009909,0.012893,-0.007027,-0.012256,0.00266,0.000251,0.001376,0.009608,0.0043 28,-0.003328,-0.009519,-0.00012
Basque_French:HGDP01359,0.125205,0.153345,0.055437 ,0.01292,0.061242,0.001394,0.003995,0.006,0.029247 ,0.042643,-0.012829,0.012139,-0.022745,-0.007844,0.015472,-0.008221,-0.014473,0.003167,-0.00088,-0.001,0.012228,-0.00136,-0.007765,-0.006627,0.002395
Basque_French:HGDP01360,0.133173,0.149283,0.063733 ,0.020995,0.056318,0.005578,-0.000705,0.004615,0.034155,0.049386,-0.012829,0.01124,-0.02438,-0.020368,0.019951,0.011933,-0.005607,0.004181,0.003017,-0.007754,0.012728,-0.000124,-0.007395,-0.01205,-0.001078
Basque_French:HGDP01362,0.122929,0.152329,0.054682 ,0.018411,0.059396,0.004183,-0.000235,0.004615,0.033746,0.037541,-0.013153,0.010191,-0.020069,-0.020919,0.005022,-0.00769,-0.02021,0.003927,-0.000628,-0.012381,0.006738,0.005935,-0.007641,-0.008917,-0.000958
Basque_French:HGDP01363,0.127482,0.15436,0.057322, 0.010982,0.055395,0.002789,-0.00141,-0.000692,0.026179,0.035901,-0.007795,0.009591,-0.025124,-0.015276,0.012622,0.005436,0.00013,0.002027,0.0027 65,0,0.010981,-0.002349,-0.012078,-0.00723,-0.001916
Basque_French:HGDP01364,0.12862,0.152329,0.044877, 0.008398,0.053856,-0.003626,0.000235,-0.001385,0.027611,0.035536,-0.006171,0.006145,-0.017096,-0.008808,0.013301,0.001193,-0.014603,0.005828,-0.004525,-0.002751,0.009982,0.002349,-0.00912,-0.01217,0.002395
Basque_French:HGDP01365,0.12862,0.15436,0.048649,0 .011305,0.054779,0.00502,-0.001175,0.001615,0.03027,0.046106,-0.007957,0.01109,-0.022894,-0.012799,0.014386,-0.009679,-0.017341,0.006334,-0.002011,-0.006753,0.007112,0.001237,-0.012695,-0.004097,0.003473
Basque_French:HGDP01366,0.137726,0.147252,0.055814 ,0.017442,0.052317,0.002231,0.00094,0.009461,0.028 02,0.034989,-0.008769,0.008992,-0.01888,-0.015551,0.016694,0.00053,0.00326,0.002154,-0.006788,-0.006753,0.012228,0.006183,-0.008627,-0.003976,-0.00479
Basque_French:HGDP01367,0.127482,0.148267,0.062979 ,0.01292,0.059396,0.005857,-0.008225,-0.003461,0.033542,0.044466,-0.006333,0.012439,-0.019029,-0.021469,0.009908,-0.006762,-0.019558,0.00266,0.003771,-0.007128,0.012104,0.000866,-0.006286,-0.013616,-0.002275
Basque_Spanish:BAS22,0.132035,0.146236,0.059585,0. 008075,0.060934,0.008367,0.003995,-0.006231,0.026997,0.047564,-0.008282,0.008393,-0.018285,-0.019542,0.011401,0.00769,0.001434,0.014569,-0.004022,0.006128,0.012977,-0.003586,-0.007765,-0.004217,0.004071
Basque_Spanish:BAS25,0.134311,0.15436,0.056945,0.0 0646,0.056934,-0.002789,-0.002585,-0.003231,0.032928,0.046288,-0.012666,0.008542,-0.025718,-0.026424,0.011943,-0.000398,-0.01343,0.001394,-0.001131,0.004252,0.006988,-0.005564,-0.012448,-0.006868,0.005868
Basque_Spanish:BAS27,0.126344,0.148267,0.059962,0. 006137,0.059088,-0.000837,-0.0047,0.003231,0.032315,0.049933,-0.001461,0.009591,-0.02557,-0.028626,0.015608,0.008618,0.001434,0.000633,0.003 142,0.002626,0.012478,0.005935,0.000246,-0.004217,0.000599
Basque_Spanish:BAS28,0.133173,0.151314,0.058831,0. 01615,0.056318,0.001952,0.000235,-0.003692,0.030679,0.039363,-0.001786,0.016036,-0.026313,-0.016102,0.021715,-0.002784,-0.012386,-0.005954,-0.001006,0.002751,0.005241,0.00779,-0.006409,-0.013255,0.006586
Basque_Spanish:BAS30,0.129758,0.141159,0.061471,0. 005814,0.06432,0.006136,-0.011516,0.003923,0.035178,0.042643,0.005196,0.013 488,-0.01888,-0.023946,0.021851,-0.002387,-0.01682,0.008361,-0.000628,-0.002376,0.004243,0,-0.006286,-0.015183,0.003712
Basque_Spanish:BAS31,0.133173,0.149283,0.058077,0. 011305,0.055395,-0.008088,-0.002585,0.002077,0.033542,0.046835,-0.009094,0.006894,-0.028543,-0.014863,0.022937,0.009281,0.000652,0.000127,-0.002011,-0.00025,0.005989,0.006925,-0.003697,-0.005663,0.000479
Basque_Spanish:BAS32,0.138864,0.156392,0.050534,0. 010982,0.04924,-0.003068,-0.001175,0.002308,0.034769,0.045195,0.002111,0.014 237,-0.018731,-0.018029,0.014929,0.014717,0.003651,-0.000127,-0.008045,0.000625,-0.001123,0.000742,-0.011709,-0.005422,-0.001557
Basque_Spanish:BAS33,0.126344,0.15436,0.058077,-0.000646,0.062781,-0.000837,-0.00094,0,0.02577,0.051755,-0.008931,0.012589,-0.016799,-0.007707,0.020494,0.001724,-0.007302,0.004181,-0.002388,-0.010505,0.015223,0.00779,-0.007395,-0.011447,0.002754
Basque_Spanish:BAS35,0.133173,0.152329,0.061094,0. 016796,0.053241,0.000279,-0.010575,0.005307,0.030065,0.040821,-0.005846,0.014687,-0.026164,-0.013625,0.020629,-0.002917,-0.009518,0.001774,-0.000251,-0.003877,0.017095,0.002349,-0.006532,-0.015062,-0.002155
Estonian:Est372,0.137726,0.107646,0.086738,0.08656 4,0.041546,0.032072,0.013396,0.00923,-0.003272,-0.026242,-0.00341,-0.004346,0.026164,0.027662,-0.002714,-0.011138,0.00013,-0.002534,-0.003268,0.004877,-0.002496,0.006306,0.006409,-0.004458,0.000359
Estonian:Est375,0.134311,0.114755,0.083344,0.08365 7,0.044931,0.028168,0.015276,0.013846,0.005522,-0.027882,-0.001137,-0.009292,0.01665,0.020231,-0.010858,-0.004375,-0.012908,0.006081,0.000503,-0.00025,0.006988,-0.009274,0.004314,-0.004097,0.012574
Estonian:Est377,0.135449,0.11577,0.087492,0.096254 ,0.042777,0.034304,0.013631,0.023537,0.00225,-0.030798,-0.000162,-0.017834,0.026016,0.023396,-0.008279,-0.004508,-0.003912,-0.002407,-0.002263,0.004252,-0.001373,-0.006183,0.00912,0.004579,-0.003592
Estonian:Est380,0.130897,0.097491,0.103331,0.08430 3,0.033852,0.01757,0.00752,0.016615,0.00225,-0.020046,0.001461,-0.009891,0.021556,0.01101,-0.0038,0.006895,0.009648,-0.012035,-0.003394,0.004002,0.006114,-0.002102,-0.000616,0.006627,0.00467
Estonian:Est391,0.130897,0.114755,0.087492,0.08753 3,0.049548,0.040439,0.016921,0.020538,-0.008999,-0.035354,0.004709,-0.023079,0.016353,0.028763,-0.011943,-0.001326,-0.001173,0.00152,0.01081,0.011631,0.001123,-0.002102,0.011709,-0.000602,0.003592
Estonian:Est393,0.129758,0.114755,0.087492,0.08236 5,0.041546,0.032351,0.002115,0.008538,0.003477,-0.026606,-0.000162,-0.009591,0.022894,0.026011,-0.010586,-0.00358,-0.000391,-0.003041,-0.000628,-0.006753,-0.004367,0.006183,0.003944,-0.004097,0.002994
Estonian:Est394,0.127482,0.118817,0.084852,0.08688 7,0.045547,0.024821,0.00987,0.009923,0.006136,-0.032438,0.002111,-0.018733,0.016799,0.029726,-0.011265,0.014717,0.001695,-0.003547,0.00088,0.001501,-0.003993,-0.006554,0.010106,-0.003133,0.005029
Estonian:Est397,0.135449,0.117801,0.084475,0.07267 5,0.042777,0.024542,0.020681,0.013846,0.003886,-0.018406,-0.001461,-0.008093,0.013974,0.01968,0.003393,0.006364,-0.003781,-0.004561,-0.001885,0.005878,0.007986,0.000742,0.003204,-0.000361,-0.003353
Estonian:Est400,0.136588,0.120848,0.081458,0.07493 6,0.044316,0.029562,0.005875,0.010846,-0.005727,-0.033896,-0.003085,-0.014987,0.020812,0.012111,-0.011401,0.013259,0.010691,-0.001267,0.007165,-0.004252,0.000749,-0.000124,-0.000123,0.003976,0.006107
Lithuanian_PA:LTG-1352,0.137726,0.125926,0.078441,0.07429,0.041854,0 .032072,0.010575,0.014076,0.000205,-0.025695,-0.009419,-0.007044,0.019921,0.0278,-0.00855,0.00716,0.000261,-0.000507,0.005531,0.002501,0.000624,-0.003215,0.010723,-0.001928,-0.002515
Lithuanian_PA:LTG-1366,0.132035,0.118817,0.086738,0.075582,0.046778, 0.031236,0.0094,0.012461,-0.00409,-0.026606,-0.007307,-0.008243,0.015461,0.028213,-0.011808,-0.000265,0.003912,-0.002154,-0.000377,0.005503,-0.000998,-0.00272,0.008258,-0.006989,0.002155
Lithuanian_PA:LTG-156,0.129758,0.117801,0.077687,0.084949,0.040315,0 .032909,0.00752,0.014076,-0.005931,-0.028247,-0.001949,-0.007194,0.018583,0.021607,-0.014115,0.000398,0.004303,0.00228,0.004022,0.0045 02,-0.004742,-0.000742,0.006286,-0.007471,-0.001078
Lithuanian_PA:LTG-173,0.132035,0.133034,0.078818,0.074613,0.044624,0 .0251,0.005405,0.011999,0.000614,-0.021322,-0.001949,-0.005395,0.015758,0.030002,-0.00855,0.006497,0.005998,-0.00114,0.005531,0.003502,-0.007986,-0.010016,0.010353,-0.009881,-0.001916
Lithuanian_PA:LTG-396,0.130897,0.125926,0.079572,0.079135,0.042777,0 .02761,0.00658,0.011999,-0.005727,-0.034989,0.003735,-0.012139,0.025718,0.031791,-0.014929,0.008221,0.004172,0.003294,0.007165,0.001 626,-0.008735,-0.003586,0.013557,-0.00723,-0.003952
Lithuanian_PA:LTG-778,0.135449,0.116786,0.081458,0.073644,0.042469,0 .031794,0.008695,0.013615,-0.010022,-0.024784,-0.001786,-0.009591,0.016204,0.025735,-0.007872,0.001989,0.002738,0.000507,0.004651,-0.003126,-0.007612,-0.001607,0.002342,-0.010965,-0.001197
Lithuanian_PA:LTG-788,0.138864,0.131003,0.075801,0.070414,0.040931,0 .026774,0.010575,0.014769,-0.002863,-0.024602,-0.004547,-0.010041,0.01888,0.025598,-0.016558,0.003315,0.005867,0.002787,0.000126,-0.009004,-0.009358,0.000371,0.010353,-0.000361,0.001317
Lithuanian_PA:LTG-804,0.133173,0.123895,0.078441,0.064277,0.037545,0 .025379,0.011045,0.014307,-0.002045,-0.024237,-0.004872,-0.013188,0.01888,0.022432,-0.012622,0.000663,0.007041,0.003167,0.004777,0.004 377,-0.009608,-0.004822,0.013311,-0.007591,0.00491
Lithuanian_PZ:LTG-1034,0.130897,0.12491,0.085984,0.088179,0.041854,0 .034304,0.00846,0.013384,-0.003886,-0.033349,-0.005034,-0.010191,0.019475,0.025873,-0.001086,0.005569,0.007823,-0.001014,0.001131,0.007253,-0.004617,-0.004204,0.012325,-0.009037,-0.002036
Lithuanian_PZ:LTG-1079,0.141141,0.12491,0.086738,0.086564,0.044008,0 .034304,0.012691,0.017538,-0.0045,-0.03426,-0.010068,-0.014537,0.020664,0.022983,-0.013029,-0.000663,0.002608,-0.006588,-0.005782,0.004127,-0.002121,-0.000495,0.007888,-0.009158,-0.005269
Lithuanian_PZ:LTG-1099,0.134311,0.128972,0.093149,0.09044,0.047086,0 .035977,0.010105,0.016384,0.003477,-0.035172,-0.012342,-0.014237,0.022002,0.04225,-0.009636,-0.011668,-0.011735,-0.000507,-0.001383,0.003001,-0.004866,-0.003586,0.001602,-0.013496,0.003113
Lithuanian_PZ:LTG-293,0.137726,0.125926,0.09164,0.080427,0.043085,0. 039881,0.014101,0.01223,-0.012271,-0.037905,-0.004872,-0.014987,0.024232,0.03702,-0.009908,-0.007558,-0.004694,-0.002787,0.001383,-0.003252,-0.00025,-0.005193,0.011832,-0.008796,-0.002395
Lithuanian_PZ:LTG-748,0.130897,0.127957,0.092017,0.089148,0.048932,0 .03765,0.009165,0.014538,-0.003272,-0.041185,-0.006333,-0.014087,0.021556,0.036057,-0.005293,-0.006099,-0.016298,-0.00076,0.005154,0.002751,0.000624,-0.009769,0.007395,-0.011809,0.004071
Lithuanian_PZ:LTG-759,0.136588,0.126941,0.085229,0.086887,0.0437,0.0 35419,0.00752,0.01823,-0.002659,-0.034625,-0.005684,-0.015436,0.030475,0.033029,-0.002986,-0.005701,-0.016037,0.00076,0.004399,-0.003502,-0.004118,-0.006925,0.005916,-0.00976,-0.001317
Lithuanian_PZ:LTG-773,0.130897,0.121864,0.081458,0.082365,0.037545,0 .031236,0.00846,0.015922,0.00225,-0.029887,-0.007307,-0.013188,0.027502,0.03592,-0.010315,-0.006099,-0.004042,-0.001774,-0.00264,0.008754,-0.005989,-0.009892,0.009737,-0.008676,0.002155
Lithuanian_PZ:LTG-883,0.142279,0.123895,0.095789,0.084626,0.048624,0 .037371,0.008695,0.013153,-0.004295,-0.032438,-0.007957,-0.012589,0.023042,0.021882,-0.008686,-0.00411,-0.001434,0.00266,0.001006,-0.000125,0.003494,-0.00779,0.008381,-0.00482,0.004191
Lithuanian_PZ:LTG-885,0.134311,0.122879,0.085229,0.094962,0.045855,0 .034582,0.013866,0.016153,0.000818,-0.032802,-0.004547,-0.010191,0.02111,0.030002,-0.005293,0.002254,0.008605,-0.004687,-0.002137,0.013632,-0.004243,-0.008532,0.013064,-0.006386,-0.000718
Lithuanian_PZ:LTG-895,0.137726,0.126941,0.086738,0.087533,0.044931,0 .033746,0.013396,0.019153,-0.005727,-0.035901,-0.003735,-0.010341,0.020515,0.030139,-0.004886,0.001856,0.000391,-0.001647,0.007039,0.001626,-0.001373,-0.003091,0.006286,-0.008194,0.003353
Lithuanian_RA:LTG-102,0.130897,0.118817,0.082589,0.082042,0.048009,0 .03012,0.00846,0.011307,-0.002454,-0.034989,-0.007307,-0.013938,0.024975,0.033305,-0.019679,0.001591,0.007562,-0.00076,0.007542,0.006378,0.001373,-0.004946,0.014913,-0.010724,0.000359
Lithuanian_RA:LTG-139,0.135449,0.127957,0.081458,0.080427,0.048317,0 .032909,0.010575,0.017538,-0.009817,-0.02934,-0.004384,-0.012289,0.022448,0.028763,-0.016694,-0.000663,0.010691,0,0.00352,-0.001876,-0.002121,-0.002102,0.011955,-0.005181,-0.005987
Lithuanian_RA:LTG-21,0.130897,0.131003,0.080327,0.073644,0.034776,0. 030678,0.00658,0.011076,-0.004909,-0.033896,0.000974,-0.014087,0.024232,0.032479,-0.011401,0.005038,0.006258,-0.004054,0.00088,0.000375,-0.007362,-0.001855,0.010599,-0.005181,0.004191
Lithuanian_RA:LTG-225,0.135449,0.122879,0.086738,0.081719,0.039084,0 .029562,0.013161,0.012692,-0.005522,-0.034078,-0.003085,-0.010641,0.021704,0.028763,-0.021308,-0.002784,-0.000522,-0.003294,0.001885,0.001251,-0.009234,-0.004328,0.009367,-0.005302,-0.004311
Lithuanian_RA:LTG-26,0.133173,0.125926,0.080327,0.083334,0.036007,0. 032351,0.011751,0.016845,-0.000409,-0.034807,-0.004222,-0.012439,0.025421,0.029451,-0.009093,0.006232,0.008084,-0.002027,0.009176,0.001876,-0.009858,-0.01051,0.008011,-0.006145,0.002155
Lithuanian_RA:LTG-325,0.135449,0.125926,0.088246,0.076228,0.037853,0 .034025,0.01034,0.020076,0.001023,-0.035354,0.000812,-0.018583,0.025867,0.024222,-0.011536,-0.00053,0.009648,-0.004434,0.00088,0.005002,-0.003868,-0.007172,0.007888,-0.009399,0.001197
Lithuanian_RA:LTG-334,0.130897,0.12491,0.084098,0.080104,0.045855,0. 020638,0.015746,0.015461,-0.003272,-0.029522,0.002111,-0.012889,0.022596,0.033855,-0.012758,0.001591,0.001043,0.003167,0.003771,0.005 002,-0.00574,-0.007543,0.003944,-0.000361,0
Lithuanian_RA:LTG-345,0.143417,0.120848,0.086361,0.08075,0.050163,0. 03263,0.013161,0.013384,-0.006749,-0.031345,-0.007632,-0.009142,0.025718,0.027525,-0.014658,0.001061,0.008605,0.002914,0.004777,0.002 876,-0.002496,-0.004822,0.008011,-0.011086,0.000838
Lithuanian_RA:LTG-351,0.137726,0.122879,0.076555,0.08075,0.040931,0. 022869,0.016921,0.019615,-0.003272,-0.029158,-0.00406,-0.013938,0.022596,0.030552,-0.014929,-0.000133,0.004433,-0.000887,0.012318,0.006503,-0.004243,-0.005935,0.015529,-0.006868,-0.003353
Lithuanian_RA:LTG-64,0.137726,0.119832,0.086361,0.086241,0.050163,0. 028447,0.016451,0.014076,-0.009613,-0.03098,-0.00341,-0.006744,0.024975,0.031103,-0.020901,0.005834,0.014212,-0.004561,0.004651,0.002751,-0.009733,-0.011129,0.010353,-0.006145,0.001197
Lithuanian_SZ:LTG-1112,0.136588,0.123895,0.084098,0.085272,0.047393, 0.030678,0.00799,0.016153,-0.000205,-0.030251,-0.001949,-0.016335,0.025124,0.025047,-0.020765,0.000265,0.004172,-0.001394,-0.001634,-0.00075,-0.002745,0.000247,0.008997,-0.01217,0.010298
Lithuanian_SZ:LTG-1123,0.134311,0.128972,0.087869,0.090763,0.043393, 0.03514,0.012691,0.015692,-0.005113,-0.040274,-0.003573,-0.013938,0.021258,0.029864,-0.012758,0.000398,0.005867,0.000507,0.000251,-0.001751,-0.004243,-0.008408,0.005793,-0.006145,0.000239
Lithuanian_SZ:LTG-1127,0.132035,0.125926,0.083344,0.085918,0.050471, 0.034861,0.009635,0.016153,0.001023,-0.036812,-0.004222,-0.01124,0.021407,0.03413,-0.010179,0.003978,0.000522,-0.007981,0.007542,0.005127,-0.006239,-0.008161,0.007025,-0.013616,0.000958
Lithuanian_SZ:LTG-413,0.134311,0.12491,0.084475,0.091086,0.0397,0.02 0917,0.019741,0.017999,-0.005113,-0.031527,0.000487,-0.012739,0.023488,0.0278,-0.008686,0.003713,0.004955,0.003167,-0.002011,0.002626,-0.01148,-0.002473,0.005669,-0.011809,0.004191
Lithuanian_SZ:LTG-645,0.132035,0.129988,0.090886,0.092378,0.048932,0 .034861,0.01034,0.017999,-0.001636,-0.033714,-0.00747,-0.011839,0.020961,0.030002,-0.013301,0.001458,0.01017,-0.000127,0.001508,0.007504,0.00262,-0.005564,0.008504,-0.00976,0.002395
Lithuanian_SZ:LTG-661,0.134311,0.122879,0.07995,0.083657,0.043085,0. 034304,0.016216,0.017768,0.000409,-0.033531,-0.004547,-0.013938,0.027651,0.029451,-0.013165,0.002519,0.010691,-0.003801,0.000754,-0.001751,0.001996,-0.009274,0.013804,-0.007953,0.002754
Lithuanian_SZ:LTG-667,0.134311,0.132019,0.093526,0.094316,0.048317,0 .029841,0.013631,0.021691,-0.007976,-0.039727,-0.006496,-0.008542,0.022299,0.034268,-0.015065,-0.000928,0.004824,-0.000887,-0.001131,0.007504,-0.001373,0.000495,0.002465,-0.01458,0.000599
Lithuanian_SZ:LTG-678,0.135449,0.123895,0.084475,0.081719,0.040931,0 .032072,0.012456,0.020076,0.001023,-0.037176,-0.000487,-0.013638,0.022745,0.028213,-0.003529,0.002519,0.00339,-0.00228,0.006536,-0.002876,-0.001996,-0.010881,0.0053,-0.006868,0.00491
Lithuanian_SZ:LTG-918,0.140002,0.12491,0.088623,0.082365,0.050471,0. 030678,0.014336,0.020768,-0.002863,-0.033531,-0.002273,-0.013338,0.025272,0.024084,-0.018051,0.001724,0.002347,-0.003294,0.003017,0.007629,-0.006239,-0.013725,0.008997,-0.012893,0.004071
Lithuanian_SZ:LTG-965,0.134311,0.120848,0.084098,0.089794,0.035699,0 .032072,0.011045,0.02123,0.000818,-0.036994,-0.008607,-0.011839,0.024826,0.033167,-0.008415,0.002917,0.004172,0.003294,0.006034,-0.001751,0.000125,-0.009892,0.003697,-0.008435,-0.001078
Lithuanian_VA:LTG-372,0.134311,0.126941,0.086361,0.078489,0.040931,0 .028447,0.0094,0.018692,0.002045,-0.023691,-0.005196,-0.020532,0.022894,0.032754,-0.010315,-0.001061,0.002999,-0.003041,0.000503,0.003752,-0.004243,-0.000989,0.006286,-0.007591,0.001437
Lithuanian_VA:LTG-439,0.129758,0.129988,0.087492,0.074613,0.044931,0 .02761,0.0094,0.015922,-0.002659,-0.028064,-0.003085,-0.010341,0.020069,0.024772,-0.008958,0.007292,0.001695,-0.002787,0.002137,0.005628,-0.000624,-0.006677,0.010353,-0.006266,-0.000359
Lithuanian_VA:LTG-471,0.137726,0.128972,0.082212,0.075582,0.044316,0 .03263,0.013161,0.008538,-0.004909,-0.033167,-0.006333,-0.008992,0.017393,0.027937,-0.005293,0.003845,0.013169,0.00114,-0.005656,0.008379,-0.001747,-0.002102,0.011955,-0.00964,-0.002874
Lithuanian_VA:LTG-483,0.132035,0.125926,0.078064,0.069445,0.042777,0 .02761,0.011281,0.017999,-0.009408,-0.028064,-0.001299,-0.012289,0.019029,0.029314,-0.014251,0.002254,0.008475,-0.000507,0.005531,0.007003,-0.000499,-0.004822,0.004437,-0.005302,0.002395
Lithuanian_VA:LTG-502,0.12862,0.123895,0.090886,0.080104,0.040007,0. 029005,0.010105,0.02123,-0.006749,-0.031891,-0.000812,-0.01139,0.019772,0.026424,-0.011808,0.00358,0.008475,-0.001774,0.005279,0.008004,-0.004991,-0.007543,0.007148,-0.006266,0.004191
Lithuanian_VA:LTG-514,0.136588,0.120848,0.071653,0.062339,0.044931,0 .026216,0.0047,0.012692,-0.003886,-0.035172,-0.000974,-0.013038,0.021704,0.028626,-0.013029,0.000133,0.004303,-0.000127,0.005656,0.00963,-0.004617,-0.002102,0.013311,-0.014098,0.000718
Lithuanian_VA:LTG-597,0.134311,0.129988,0.089,0.089148,0.043393,0.02 9005,0.008695,0.015922,0.003681,-0.036812,-0.002111,-0.013938,0.017393,0.026974,-0.006107,0.005967,0.007562,-0.00038,0.003017,0.004252,-0.010731,-0.004575,0.002711,-0.001566,0.003712
Lithuanian_VA:LTG-598,0.135449,0.122879,0.078064,0.069768,0.039392,0 .024263,0.00987,0.008307,-0.001841,-0.024237,-0.000487,-0.017235,0.022448,0.029038,-0.01045,0.002254,0.004172,0,0.002765,0.008629,-0.009234,-0.004946,0.008627,-0.010965,-0.001557
Lithuanian_VA:LTG-603,0.140002,0.127957,0.078818,0.075259,0.04924,0. 021753,0.008225,0.015692,0,-0.02934,-0.005359,-0.014387,0.018731,0.026148,-0.018187,0.004508,0.008084,0.001647,0.002891,0.000 125,0.004118,-0.002968,0.003944,-0.008194,-0.008861
Lithuanian_VA:LTG-625,0.135449,0.119832,0.082212,0.076228,0.043393,0 .032351,0.015041,0.013846,0.003272,-0.028247,-0.003897,-0.016186,0.020961,0.028075,-0.012215,0.000663,0.002477,0.000127,0.001006,0.005 753,-0.004742,-0.011376,0.003574,-0.008917,-0.007424
Lithuanian_VZ:LTG-529,0.136588,0.128972,0.082212,0.077197,0.054472,0 .033746,0.013631,0.020538,0.001432,-0.029522,-0.001949,-0.006744,0.021556,0.027387,-0.018322,-0.012331,-0.004172,0.003674,0.004525,-0.004502,-0.004617,-0.008656,0.014913,-0.008314,-0.00012
Lithuanian_VZ:LTG-532,0.144555,0.132019,0.087492,0.080427,0.045239,0 .033188,0.011751,0.020076,-0.007772,-0.034078,-0.003248,-0.010641,0.016501,0.031103,-0.002172,-0.00358,-0.002477,-0.003167,0.004274,-0.00075,-0.002745,-0.002844,0.002958,-0.00482,0.001078
Lithuanian_VZ:LTG-553,0.136588,0.117801,0.094657,0.084626,0.04647,0. 035419,0.014101,0.021691,-0.001023,-0.031345,-0.00682,-0.007943,0.018434,0.02257,-0.003257,-0.005436,0.005476,0.002407,0.005028,0.004502,-0.005615,-0.011623,0.012448,-0.000843,-0.003712
Lithuanian_VZ:LTG-587,0.136588,0.127957,0.092395,0.082688,0.042777,0 .038766,0.010575,0.017076,-0.003272,-0.033714,-0.002923,-0.010041,0.016204,0.036195,-0.009908,-0.009149,-0.004824,-0.003547,0.004525,0.004002,-0.006489,-0.007296,0.010476,-0.006025,-0.000838
Lithuanian_VZ:LTG-591,0.135449,0.127957,0.075424,0.082042,0.0397,0.0 23985,0.009635,0.016615,-0.003068,-0.031345,-0.007307,-0.005545,0.020664,0.03413,-0.007872,0.003447,-0.000391,0.000633,0.000754,0.001376,-0.001373,-0.007914,0.003451,-0.000843,-0.000838
Lithuanian_VZ:LTG-592,0.145694,0.122879,0.082967,0.087533,0.043085,0 .03514,0.010105,0.009461,-0.007772,-0.03262,-0.002111,-0.016485,0.015609,0.026561,-0.012486,-0.003447,-0.006389,0.002914,-0.001131,0.003627,-0.007112,-0.005441,0.006409,-0.008314,-0.004071
Lithuanian_VZ:LTG-664,0.133173,0.128972,0.081835,0.077197,0.042777,0 .031794,0.00705,0.020538,-0.002045,-0.029887,-0.002598,-0.010041,0.020367,0.032066,-0.012486,-0.000265,0.005737,0.004434,0.008799,0.002876,-0.001123,0.004451,0.002588,-0.012652,-0.000838
Lithuanian_VZ:LTG-935,0.129758,0.122879,0.083721,0.08721,0.040931,0. 029284,0.00705,0.014999,-0.005318,-0.029704,-0.001949,-0.010191,0.030475,0.031103,-0.017101,-0.005701,0.002217,0.002914,-0.000754,-0.000375,-0.005989,-0.006059,0.013557,-0.005181,-0.001197
Latvian:latvian22J5,0.143417,0.121864,0.087492,0.0 90117,0.038161,0.035419,0.008695,0.01223,-0.003477,-0.03426,-0.00406,-0.01109,0.017691,0.037571,-0.014522,-0.010209,-0.014212,0.002534,0.006285,0.004502,-0.003993,-0.005688,0.013064,-0.012893,0.002036
Latvian:latvian54A2,0.135449,0.119832,0.096166,0.0 96254,0.04924,0.038487,0.014101,0.016153,-0.002045,-0.040456,-0.005684,-0.018434,0.024975,0.029314,-0.010586,0.016706,0.024121,-0.001774,-0.002137,0.008879,-0.000749,-0.001731,0.01368,-0.004217,0.000359
Latvian:latvian54F2,0.132035,0.121864,0.083344,0.0 81719,0.044624,0.032072,0.015746,0.011538,-0.001841,-0.028793,-0.00406,-0.014237,0.022745,0.024772,-0.007872,0.013922,0.018123,0.000127,-0.005782,0.005878,-0.002496,-0.00779,0.002835,-0.00723,0.005868
Latvian:latvian54H7,0.133173,0.122879,0.09428,0.08 8179,0.036314,0.035977,0.015041,0.015461,-0.003068,-0.039727,-0.003735,-0.012439,0.029286,0.031791,-0.00855,-0.004243,-0.017602,-0.001394,0.008547,-0.001,-0.006364,-0.002968,0.012571,-0.011929,0.005748
Latvian:latvian58C6,0.133173,0.125926,0.082589,0.0 91086,0.047701,0.028168,0.0094,0.014999,-0.000409,-0.041185,-0.000325,-0.012889,0.021407,0.033442,-0.011265,0.00411,0.003129,-0.001394,0.001131,0.003252,-0.000374,-0.010387,0.003204,-0.010363,-0.000838

[Defcon2]

Yo me puedo modelar con Castilla y León + Asturias + Lombardía sin despeinarme.

Target: Juan
Distance: 1.4109% / 0.01410866
43.4 Italian_Lombardy
32.8 Spanish_Castilla_Y_Leon
23.8 Spanish_Asturias

Cierto es que mejoro un poquito si incluyo todas las muestras marroquíes, pero tampoco es para tirar cohetes. Y eso que soy extremeño.

Target: Juan
Distance: 1.3744% / 0.01374391
43.2 Italian_Lombardy
29.0 Spanish_Castilla_Y_Leon
22.8 Spanish_Asturias
5.0 Moroccan_North

[gixajo]

Yo me puedo modelar con Castilla y León + Asturias + Lombardía sin despeinarme.

Target: Juan
Distance: 1.4109% / 0.01410866
43.4 Italian_Lombardy
32.8 Spanish_Castilla_Y_Leon
23.8 Spanish_Asturias

Cierto es que mejoro un poquito si incluyo todas las muestras marroquíes, pero tampoco es para tirar cohetes. Y eso que soy extremeño.

Target: Juan
Distance: 1.3744% / 0.01374391
43.2 Italian_Lombardy
29.0 Spanish_Castilla_Y_Leon
22.8 Spanish_Asturias
5.0 Moroccan_North

Tío, eres superintelectualmente deshonesto.

[Defcon2]

Tío, eres superintelectualmente deshonesto.


https://www.youtube.com/watch?v=weMfQGVFEKQ

[gixajo]

No pusieron ninguna muestra española porque es una calculadora para británicos e irlandeses. No tiene sentido incluir muestras ibéricas. No veo las cosas en la perspectiva de una enemistad entre británicos y españoles. Me parece un poco una manía de persecución de tu parte. No tome la discusión de esta manera, ya que no me parece intelectualmente honesto.

En cuanto a la inclusión de muestras del sur de Francia, los británicos tenían una relación mucho más estrecha con Francia que con la Península Ibérica. Ahora no sabemos si esta relación a nivel de matrimonio se produjo exclusivamente entre la aristocracia o si también tuvo un impacto en diferentes sectores de la población.

Las muestras del sur de Francia tienen cierta similitud genética con la Península Ibérica, pero nuestra posición geográfica favorable al aislamiento ha desarrollado ciertas peculiaridades en el acervo genético ibérico. Hay similitudes pero también diferencias entre el grupo francés sur/suroeste y el grupo ibérico.

Sin duda todos somos intelectualmente deshonestos aquí, yo también,pero dime,¿Es intelectualmente honesto no incluir un componente de una población que puede tener hasta el 13,1% de lso Irlandeses y un 17% de los habitantes de Gran Bretaña, y que representan la 4ª y 5ª etnia más representativa de ambas islas?

No voy a pensar que tú eres "deshoensto intelectualmente", pero no me seas equidistante, incluso suponiendo que fuera un 10% de media, ya sería difícil ser honesto quitarlo como componente.

No se trata más que de acercarnos a la verdad en todo esto, me olvido de la supuesta manía y prefiero no apuntar ninguna intención en ese sentido, aunque no se me ocurre ninguna otra razón por la que pudieran hacer eso, porque lo de que no es útil para modelar a un británico, no es ninguna razón aceptable, intelectualmente tampoco. :thumb001:

[gixajo]

https://www.youtube.com/watch?v=weMfQGVFEKQ

Por qué? Porque si no tengo ninguna buena razón para rebatir tus argumentos, tendré que meterme contigo, así tus argumentos carecerán de valor.

Creo que eso es una falacia "Ad hominem", pero hay tantas falacias que no me acuerdo de otra...:picard1:

[Defcon2]

Sesión de "conoce mis coordenadas", dependo más de Lombardía que de Marruecos para mejorar fit al menos. Fijaos en el estropicio que hace cuando omito Lombardía, soy medio judío marroquí cuando no está.

Target: Juan
Distance: 1.6122% / 0.01612194
53.6 Spanish_Castilla_Y_Leon
39.4 Spanish_Asturias
6.2 Moroccan_Jew
0.8 Moroccan_North

Target: Juan
Distance: 1.4109% / 0.01410866
43.4 Italian_Lombardy
32.8 Spanish_Castilla_Y_Leon
23.8 Spanish_Asturias

Juntando ambos sale algo más potable pero no tiene nada que ver con mi ascendencia conocida. Si no conoces tu ascendencia estás jodido y esto no vale.

Target: Juan
Distance: 1.3744% / 0.01374391
43.2 Italian_Lombardy
29.0 Spanish_Castilla_Y_Leon
22.8 Spanish_Asturias
5.0 Moroccan_North

Haced este tipo de experimentos a ver qué os sale.

[gixajo]

Sesión de "conoce mis coordenadas", dependo más de Lombardía que de Marruecos para mejorar fit al menos. Fijaos en el estropicio que hace cuando omito Lombardía, soy medio judío marroquí cuando no está.

Target: Juan
Distance: 1.6122% / 0.01612194
53.6 Spanish_Castilla_Y_Leon
39.4 Spanish_Asturias
6.2 Moroccan_Jew
0.8 Moroccan_North

Target: Juan
Distance: 1.4109% / 0.01410866
43.4 Italian_Lombardy
32.8 Spanish_Castilla_Y_Leon
23.8 Spanish_Asturias

Juntando ambos sale algo más potable pero no tiene nada que ver con mi ascendencia conocida. Si no conoces tu ascendencia estás jodido y esto no vale.

Target: Juan
Distance: 1.3744% / 0.01374391
43.2 Italian_Lombardy
29.0 Spanish_Castilla_Y_Leon
22.8 Spanish_Asturias
5.0 Moroccan_North

Haced este tipo de experimentos a ver qué os sale.

Mira que eres exagerado, medio judío marroquí dice...

Dónde esta Brás? Espero que no se haya picado por esta tontería de discusión, ¿No?

[Defcon2]

Mira que eres exagerado, medio judío marroquí dice...

Dónde esta Brás? Espero que no se haya picado por esta tontería de discusión, ¿No?

Estará fumándose una pipa con hierba extremeña tranquilo.

[mitalit]

Es que a mi eso de buscar en las calculadoras me parece un coñazo, son muchisimas cordenadas. Pero bueno algún día haré una calculadora a mi medida, que me diga lo nórdico y guapo que soy

[gixajo]

Es que a mi eso de buscar en las calculadoras me parece un coñazo, son muchisimas cordenadas. Pero bueno algún día haré una calculadora a mi medida, que me diga lo nórdico y guapo que soy

Cómo que nórdico? Pero si lo último que ví es que eras francés.

He visto que Brás está activo por ahí, voy a buscarle como el típico psicópata obsesivo para convencerme que no se ha enfadado conmigo. No quisiera empezar una guerra Hispano-Lusa por esta tontería.

[Defcon2]

Parece que hay una pequeña influencia de haplogrupo paterno a las composiciones autosomales. R1b/R1a predice más Steppe/WHG por el contrario no tener estos haplogrupos influye de manera negativa en esos componentes.

https://i.imgur.com/QlU31AI.png

En África ocurre lo contrario, los haplogrupos esteparios tienden a tener menos de este componente. Aunque hay excepciones: Viriato en esta calculadora tiene más que yo. A Celtibero no se lo tomo en cuenta porque no es completamente español siendo parte siciliano y eso produce cosas raras en los porcentajes.

https://i.imgur.com/7OcQfHw.png

Debería tener más ejemplos para asegurar esta tendencia, para esto sirve tener coordenadas de varias personas y cuantas más mejor.

[Rocinante]

Parece que hay una pequeña influencia de haplogrupo paterno a las composiciones autosomales. R1b/R1a predice más Steppe/WHG por el contrario no tener estos haplogrupos influye de manera negativa en esos componentes.

https://i.imgur.com/QlU31AI.png

En África ocurre lo contrario, los haplogrupos esteparios tienden a tener menos de este componente. Aunque hay excepciones: Viriato en esta calculadora tiene más que yo. A Celtibero no se lo tomo en cuenta porque no es completamente español siendo parte siciliano y eso produce cosas raras en los porcentajes.

https://i.imgur.com/7OcQfHw.png

Debería tener más ejemplos para asegurar esta tendencia, para esto sirve tener coordenadas de varias personas y cuantas más mejor.

Nah, no creo que esto sea asi. Yo conozco a un ecuatoriano que se hizo la prueba y le dio R1b-U152, si lo ves fisicamente, no te lo creirias, pero es asi, pues tengo su raw data.

Modelando con mi calculadora, mira como quedaria el asunto:

Target: Alejandro_scaled
Distance: 1.4720% / 0.01472023
52.0 G2a
33.0 R1
8.6 I
6.4 E1b

Target: Viriato_scaled
Distance: 2.2129% / 0.02212854
51.8 G2a
31.4 R1
11.0 I
5.8 E1b

Target: Juan_scaled
Distance: 3.3881% / 0.03388113
53.8 G2a
27.8 R1
11.0 I
4.6 E1b
1.8 H1
1.0 E1b

Tenias ~5.6% de coger el E1b, si nos basamos en las calculadoras, pero la historia es diferente, pues para mi los que trajeron el G2a, tambien trajeron el E1b, esto esta por verse, pero para mi los hombres que llegaron a sobrevivir a los descendientes de los esteparios eran los agricultures que ya estaban ahi y tenian el E1b.

Ademas, eres autosomalmente igual a alguien que tenga el R1 en España o en Italia.

[Defcon2]

Nah, no creo que esto sea asi. Yo conozco a un ecuatoriano que se hizo la prueba y le dio R1b-U152, si lo ves fisicamente, no te lo creirias, pero es asi, pues tengo su raw data.

Modelando con mi calculadora, mira como quedaria el asunto:

Target: Alejandro_scaled
Distance: 1.4720% / 0.01472023
52.0 G2a
33.0 R1
8.6 I
6.4 E1b

Target: Viriato_scaled
Distance: 2.2129% / 0.02212854
51.8 G2a
31.4 R1
11.0 I
5.8 E1b

Target: Juan_scaled
Distance: 3.3881% / 0.03388113
53.8 G2a
27.8 R1
11.0 I
4.6 E1b
1.8 H1
1.0 E1b


Tenias ~5.6% de coger el E1b, si nos basamos en las calculadoras, pero la historia es diferente, pues para mi los que trajeron el G2a, tambien trajeron el E1b, esto esta por verse, pero para mi los hombres que llegaron a sobrevivir a los descendientes de los esteparios eran los agricultures que ya estaban ahi y tenian el E1b.

Ademas, eres autosomalmente igual a alguien que tenga el R1 en España o en Italia.

Solo he formado una hipótesis con muchas limitaciones, por eso dije de tener más ejemplos para confirmarlo.

Además solo serviría a la hora de compararlo con nativos al 100%, no tiene sentido hacerlo con peruanos amerindios R1b.

[Rocinante]

Solo he formado una hipótesis con muchas limitaciones, por eso dije de tener más ejemplos para confirmarlo.

Además solo serviría a la hora de compararlo con nativos al 100%, no tiene sentido hacerlo con peruanos amerindios R1b.

Y esta interesante esa hipótesis, solo que yo soy de los que el haplogrupo dice poco, más nada. Más le podría decir a un mestizo de América su haplogrupo que a un español.

[Defcon2]

Y esta interesante esa hipótesis, solo que yo soy de los que el haplogrupo dice poco, más nada. Más le podría decir a un mestizo de América su haplogrupo que a un español.

Así quedaría los haplogrupos no esteparios por región ibérica según Eupedia, de menor a mayor.

Mitad occidental.

Andalucia 28.5
Castilla y leon 30
Galicia 31
Asturias 35
Portugal 35.5
Extremadura 40

Mitad oriental.

Pais Vasco 7
Cataluña 23
Valencia 24
Aragon 25.5
Castilla la Mancha 29
Cantabria 29.5




Esta sería la composición autosomal no europea, yo si creo que tiene algo que ver, y parece seguir en la misma tendencia que dije anteriormente.

https://i.postimg.cc/HL7Nf8jC/African-admixture.gif

https://i.postimg.cc/pXq38t33/Red-Sea-admixture.gif

https://i.postimg.cc/85R0C8hK/Southwest-Asian-admixture.gif

[Rocinante]

Así quedaría los haplogrupos no esteparios por región ibérica según Eupedia, de menor a mayor.

Mitad occidental.

Andalucia 28.5
Castilla y leon 30
Galicia 31
Asturias 35
Portugal 35.5
Extremadura 40

Mitad oriental.

Pais Vasco 7
Cataluña 23
Valencia 24
Aragon 25.5
Castilla la Mancha 29
Cantabria 29.5




Esta sería la composición autosomal no europea, yo si creo que tiene algo que ver, y parece seguir en la misma tendencia que dije anteriormente.

https://i.postimg.cc/HL7Nf8jC/African-admixture.gif

https://i.postimg.cc/pXq38t33/Red-Sea-admixture.gif

https://i.postimg.cc/85R0C8hK/Southwest-Asian-admixture.gif

Pero que yo sepa, hay mas I1 en Galicia, Extremadura y Portugal, por ejemplo. Sí, hay mas E1b también, pero sumando los haplogrupos europeos R1+I+G2a hay casi casi igual. No?

[Defcon2]

Pero que yo sepa, hay mas I1 en Galicia, Extremadura y Portugal, por ejemplo. Sí, hay mas E1b también, pero sumando los haplogrupos europeos R1+I+G2a hay casi casi igual. No?

Galicia 68%
Extremadura 60%
Portugal 63%

Pero G2a tiene lo mismo de europeo que E1b, incluso es menos frecuente. Si se considera a G2a como europeo entonces no veo por qué no incluir a E1b1 también.

https://i.postimg.cc/N0ydHMnF/Haplogroup-G2a.gif
https://i.postimg.cc/N0Wp7th4/Haplogroup-E1b1b.jpg

[Gota_type_]

2/4 de Salamanca, 1/4 Valladolid y 1/4 de el País vasco. Hice una especie de estudio con los resultados del k36 y me marca que vengo de la zona de cataluña/sur de francia (Cosa rara no teniendo ningún antepasado por esas zonas)



É tudo virtualmente idêntico, North Sea e North Atlantic. Samples idênticas. Não existe uma disparidade grande como estás a supor.

Eu obtive 12.99% North Sea, 6.87% North Atlantic e 3.50% Fennoscandian = 23.36%

Gota_Type: 2.5% North Sea, 14% North Atlantic e 4% Fennoscandian = 20.5%

Spaniard 2.0: 14.43% North Sea, 4.56% North Atlantic e 0% Fennoscandian = 18.99%

Como podes ver os componentes do norte da europa são idênticos, anda na média dos ~20%.

Pero lo que me sorprende no es el % final, eso me da igual. Lo que me sorprende es que dentro de un mismo país haya tanta disparidad en determinados componentes, porque en el caso de estos 3 componentes y entre nosotros 3 hay mucha disparidad. No entiendo por qué vosotros tenéis muy alto el North Sea (y yo muy bajo) y yo muy alto el NorthAtlantic (y vosotros muy bajo), y Spaniard 2.0 no tenga Fennoscandian y los otros 2 tengamos un 4%.

Además entiendo que debería haber una correlación entre Fennoscandian y NorthSea porque ¿no son básicamente la misma zona geográfica o prácticamente la misma? Entonces, ¿cómo se explica por ej. que Spaniard 2.0 tenga 14.5% North Sea y 0% Fennoscandian? No tiene sentido.

Es algo raro porque las diferencias no son pequeñas. No entiendo por qué hay tantas diferencias si somos del mismo país.

[gixajo]

El mío.

https://i.imgur.com/hsjhwDS.png

[PT Tagus]

https://i.imgur.com/uVZKSPW.png

[Brás Garcia de Mascarenhas]

Pero lo que me sorprende no es el % final, eso me da igual. Lo que me sorprende es que dentro de un mismo país haya tanta disparidad en determinados componentes, porque en el caso de estos 3 componentes y entre nosotros 3 hay mucha disparidad. No entiendo por qué vosotros tenéis muy alto el North Sea (y yo muy bajo) y yo muy alto el NorthAtlantic (y vosotros muy bajo), y Spaniard 2.0 no tenga Fennoscandian y los otros 2 tengamos un 4%.

Además entiendo que debería haber una correlación entre Fennoscandian y NorthSea porque ¿no son básicamente la misma zona geográfica o prácticamente la misma? Entonces, ¿cómo se explica por ej. que Spaniard 2.0 tenga 14.5% North Sea y 0% Fennoscandian? No tiene sentido.

Es algo raro porque las diferencias no son pequeñas. No entiendo por qué hay tantas diferencias si somos del mismo país.

Provavelmente estará relacionado com o facto de testarmos com diferentes companhias, diferentes chips e consequentemente diferenças na sobreposição dos SNPs podendo haver algumas variações. No entanto, na minha percepção e forma de interpretar esta calculadora não acho que faça diferença ter mais ou menos North Sea, Fennoscandian ou North Atlantic. São só nomes diferentes para mesolithic hunter-gatherer components.

Mesolithic hunter-gatherer components

- East_Central_Euro
- Eastern_Euro
- Fennoscandian
- North_Atlantic
- North_Sea

Neolithic farmer components

- Arabian
- Armenian
- East_Balkan
- East_Med
- Iberian
- Italian
- Near_Eastern
- North_African
- Omotic
- West_Med

[Brás Garcia de Mascarenhas]

https://i.imgur.com/sAwLXEP.png

https://s15.postimg.cc/loj4dm3nv/Opera_Instant_neo_2018-06-05_151749_gen3553.pagesperso-orange.fr.png

[gixajo]

Tampoco nos pongamos muy fantásticos, el k36 tampoco es la biblia, tiene muchos componentes que se solapan en muchos casos y que se molestan mutuamente. A mí no me sale East mediterranean y me sale Arabian y el West Mediterranean, el North Atlantic y el Iberian tienen algunas cosas comunes que pueden ir a uno u otro.

Y lo de siempre, no sé si mi k36 se hace con cosa de 70 mil snp´s y los de otros aquí tienen están basados en la lectura de casi el doble.

Así que una cosa más que comparar, pero en su justa medida.

[gixajo]

Creo que este era mi mapa con coordenadas del k36:

https://i.imgur.com/3s488rI.png

[Brás Garcia de Mascarenhas]

Creo que este era mi mapa con coordenadas del k36:

Excluindo o Erronkari, deves ser o membro mais Basco geneticamente.

[gixajo]

Excluindo o Erronkari, deves ser o membro mais Basco geneticamente.

Nos falta perikolez, que debería dar aproximadamente como erronkari. Más o me suele marcar la mitad de vasco que a él.También estaba gaska que daba algo más que yo y menos que erronkari. Yo doy aproximadamente el doble que cualquier español de media pero he visto a algún español sin relación con el País Vasco y algún portugués que dan bastante alto también.y

Mi familia paterna es andaluza y mi materna vasca, de la provincia menos aislada históricamente, Álava.

[gixajo]

repetido

[gixajo]

Acaban de traernos la verdura a casa, voy a llevarle cosas a mi hermana...

[mitalit]

https://i.gyazo.com/9ac55306304a4c6b82e2726ac2f5d86e.png Yo no pertenezco a ninguna parte

[Rocinante]

Provavelmente estará relacionado com o facto de testarmos com diferentes companhias, diferentes chips e consequentemente diferenças na sobreposição dos SNPs podendo haver algumas variações. No entanto, na minha percepção e forma de interpretar esta calculadora não acho que faça diferença ter mais ou menos North Sea, Fennoscandian ou North Atlantic. São só nomes diferentes para mesolithic hunter-gatherer components.

Mesolithic hunter-gatherer components

- East_Central_Euro
- Eastern_Euro
- Fennoscandian
- North_Atlantic
- North_Sea

Neolithic farmer components

- Arabian
- Armenian
- East_Balkan
- East_Med
- Iberian
- Italian
- Near_Eastern
- North_African
- Omotic
- West_Med

Buena percepcion, aunque creo que las que marque en rojo no tienen nada que ver con los WHG o EEF.


Pero lo que me sorprende no es el % final, eso me da igual. Lo que me sorprende es que dentro de un mismo país haya tanta disparidad en determinados componentes, porque en el caso de estos 3 componentes y entre nosotros 3 hay mucha disparidad. No entiendo por qué vosotros tenéis muy alto el North Sea (y yo muy bajo) y yo muy alto el NorthAtlantic (y vosotros muy bajo), y Spaniard 2.0 no tenga Fennoscandian y los otros 2 tengamos un 4%.

Además entiendo que debería haber una correlación entre Fennoscandian y NorthSea porque ¿no son básicamente la misma zona geográfica o prácticamente la misma? Entonces, ¿cómo se explica por ej. que Spaniard 2.0 tenga 14.5% North Sea y 0% Fennoscandian? No tiene sentido.

Es algo raro porque las diferencias no son pequeñas. No entiendo por qué hay tantas diferencias si somos del mismo país.

Lo seguro seguro, es que a todos los gallegos y portugueses les sale ~4% de fennoscandian y ~4% de east-central-euro, se dice que por el componente suevo.

Yo por estas confusiones usando el gedmatch, lo deje.


Galicia 68%
Extremadura 60%
Portugal 63%

Pero G2a tiene lo mismo de europeo que E1b, incluso es menos frecuente. Si se considera a G2a como europeo entonces no veo por qué no incluir a E1b1 también.

https://i.postimg.cc/N0ydHMnF/Haplogroup-G2a.gif
https://i.postimg.cc/N0Wp7th4/Haplogroup-E1b1b.jpg

Es que el E1b de los europeos es europeisimo, vamos que yo no estoy diciendo que no, lo que si es que el G2a es un componente puramente traido de los EEFs, el E1b se dice que tambien pero es un haplogrupo que es muchiiiiisimo mas comun en Africa y en Medio Oriente, pero los subclados correspondientes a los territorios de por aqui son europeos.

[Defcon2]

Editado.