Guess his origins (gedmatch + global 25)

[Flashball]

Thanks

For a friend!

Kit gedmatch: XE1995298

Global 25:
Friend,0.12862,0.144205,0.050911,0.025194,0.045855 ,0 .01004,0.00517,0.007154,0.00634,0.008018,-0.007307,0.002548,-0.001338,-0.004817,0.00855,0.005038,-0.002868,0.00114,0.008296,-0.005253,0.004991,0.002226,-0.000986,0.009278,-0.006347

[Gallop]

With me

Minimum segment cM to be included in total = 3.0 cM

Largest segment = 3 cM

Total Half-Match segments (HIR) 3cM (0.084 Pct)

1 shared segments found for this comparison.

199284 SNPs used for this comparison.

51.317 Pct SNPs are full identical

Comparison took 0.173.
CPU time used: 0.022.

Ver: May 11 2021 07 33 46

With my Father
Minimum segment cM to be included in total = 5.0 cM

Largest segment = 5.2 cM

Total Half-Match segments (HIR) 5.2cM (0.145 Pct)
Estimated number of generations to MRCA = 7.7

1 shared segments found for this comparison.

468202 SNPs used for this comparison.

67.834 Pct SNPs are full identical

Comparison took 0.195.
CPU time used: 0.045.

Ver: May 11 2021 07 33 46


At first I thought he might be Spanish but I saw his K13 and I think he is not Spanish or maybe it is someone mixed with both parents of different nationality, maybe he could be from the middle of France.

[SouthDutch7991]

At first I wanted to say that he must be Alsatian, but his high K13 distance suggests a mixed european background and possibly a Jewish component. Is he 3/4 German and 1/4 Jewish?

G25
Distance to: Friend
0.01700455 French_Alsace
0.01905414 French_Nord
0.02071689 Belgian
0.02120782 Swiss_German
0.02198171 French_Paris
0.02349220 German
0.02398084 French_Pas-de-Calais
0.02399637 French_Seine-Maritime
0.02598287 Austrian
0.02990644 French_Occitanie
0.03051556 French_Brittany
0.03092379 French_Auvergne
0.03121848 Afrikaner
0.03242609 Welsh
0.03324134 Swiss_French
0.03375770 English_Cornwall
0.03427724 English
0.03453047 Dutch
0.03615493 French_Provence
0.03688347 Hungarian
0.03731472 Italian_Aosta_Valley
0.03789079 Scottish
0.03873794 Orcadian
0.03924978 German_East
0.03953538 Croatian


Target: Friend
Distance: 0.0127% / 0.01270421 | ADC: 0.25x RC
64.1 French_Paris
21.0 Sorb_Niederlausitz
12.0 French_Seine-Maritime
2.9 Yemenite_Al_Jawf


Target: Friend
Distance: 0.0139% / 0.01391365 | ADC: 0.5x RC
45.8 French_Paris
31.5 French_Alsace
15.2 Sorb_Niederlausitz
7.5 French_Seine-Maritime


K13
(From GEDMATCH)
# Primary Population (source) Secondary Population (source) Distance
1 78% Southeast_English + 22% Ashkenazi @ 4.47
2 80.4% Southeast_English + 19.6% Italian_Jewish @ 4.71
3 84.9% Southeast_English + 15.1% Lebanese_Druze @ 4.92
4 81.1% Southeast_English + 18.9% Algerian_Jewish @ 4.99
5 82.2% Southeast_English + 17.8% Tunisian_Jewish @ 5.05
6 80.8% Southeast_English + 19.2% Sephardic_Jewish @ 5.15
7 85.7% Southeast_English + 14.3% Lebanese_Christian @ 5.19
8 82.5% Southeast_English + 17.5% Libyan_Jewish @ 5.21
9 85.5% Southeast_English + 14.5% Samaritan @ 5.27
10 76.7% Danish + 23.3% Italian_Jewish @ 5.27
11 76.4% North_Dutch + 23.6% Italian_Jewish @ 5.37
12 76.2% Southeast_English + 23.8% West_Sicilian @ 5.38
13 84.1% Southeast_English + 15.9% Cyprian @ 5.38
14 87.3% Southeast_English + 12.7% Yemenite_Jewish @ 5.44
15 73.8% Orcadian + 26.2% Ashkenazi @ 5.46
16 76.3% Orcadian + 23.7% Italian_Jewish @ 5.48
17 85.3% Southeast_English + 14.7% Palestinian @ 5.5
18 66% Danish + 34% Tuscan @ 5.51
19 78.4% Southeast_English + 21.6% East_Sicilian @ 5.51
20 73% Norwegian + 27% Italian_Jewish @ 5.53

(Vahaduo)
Distance to: Friend
8.04932295 Swiss_German
8.05001863 French_Alsace
8.13111308 French_North
8.14874223 German_Southwest
8.43356983 Belgian
8.58210347 Austrian_Burgenland
9.54534965 French_Central
9.55016230 Austrian_Salzburg-Upper_Austria
10.24950731 Dutch_South
10.52887933 Austrian_Tyrol
10.65962007 Swiss_French
10.99941362 French_Brittany
11.44775087 German
11.92720001 English_Southeast
12.01403346 Austrian
12.31358092 Austrian_Lower_Austria
12.43701733 Italian_Aosta_Valley
12.55419850 English_Midlands
12.90410787 Dutch
13.11889477 English_Southwest
13.49110448 Dutch_Central
13.62180238 English_North
13.62951577 German_Northwest
13.80371327 German_Southeast
14.23650940 Welsh


Target: Friend
Distance: 5.3976% / 5.39759967 | ADC: 0.25x RC
46.8 Dutch_North
28.0 Austrian_Burgenland
13.3 Spanish_Valencia
11.9 Jew_Morroco


Target: Friend
Distance: 6.2549% / 6.25489104 | ADC: 0.5x RC
51.2 Austrian_Burgenland
37.1 French_North
11.7 Spanish_Valencia

[Flashball]

At first I wanted to say that he must be Alsatian, but his high K13 distance suggests a mixed european background and possibly a Jewish component. Is he 3/4 German and 1/4 Jewish?

G25
Distance to: Friend
0.01700455 French_Alsace
0.01905414 French_Nord
0.02071689 Belgian
0.02120782 Swiss_German
0.02198171 French_Paris
0.02349220 German
0.02398084 French_Pas-de-Calais
0.02399637 French_Seine-Maritime
0.02598287 Austrian
0.02990644 French_Occitanie
0.03051556 French_Brittany
0.03092379 French_Auvergne
0.03121848 Afrikaner
0.03242609 Welsh
0.03324134 Swiss_French
0.03375770 English_Cornwall
0.03427724 English
0.03453047 Dutch
0.03615493 French_Provence
0.03688347 Hungarian
0.03731472 Italian_Aosta_Valley
0.03789079 Scottish
0.03873794 Orcadian
0.03924978 German_East
0.03953538 Croatian


Target: Friend
Distance: 0.0127% / 0.01270421 | ADC: 0.25x RC
64.1 French_Paris
21.0 Sorb_Niederlausitz
12.0 French_Seine-Maritime
2.9 Yemenite_Al_Jawf


Target: Friend
Distance: 0.0139% / 0.01391365 | ADC: 0.5x RC
45.8 French_Paris
31.5 French_Alsace
15.2 Sorb_Niederlausitz
7.5 French_Seine-Maritime


K13
(From GEDMATCH)
# Primary Population (source) Secondary Population (source) Distance
1 78% Southeast_English + 22% Ashkenazi @ 4.47
2 80.4% Southeast_English + 19.6% Italian_Jewish @ 4.71
3 84.9% Southeast_English + 15.1% Lebanese_Druze @ 4.92
4 81.1% Southeast_English + 18.9% Algerian_Jewish @ 4.99
5 82.2% Southeast_English + 17.8% Tunisian_Jewish @ 5.05
6 80.8% Southeast_English + 19.2% Sephardic_Jewish @ 5.15
7 85.7% Southeast_English + 14.3% Lebanese_Christian @ 5.19
8 82.5% Southeast_English + 17.5% Libyan_Jewish @ 5.21
9 85.5% Southeast_English + 14.5% Samaritan @ 5.27
10 76.7% Danish + 23.3% Italian_Jewish @ 5.27
11 76.4% North_Dutch + 23.6% Italian_Jewish @ 5.37
12 76.2% Southeast_English + 23.8% West_Sicilian @ 5.38
13 84.1% Southeast_English + 15.9% Cyprian @ 5.38
14 87.3% Southeast_English + 12.7% Yemenite_Jewish @ 5.44
15 73.8% Orcadian + 26.2% Ashkenazi @ 5.46
16 76.3% Orcadian + 23.7% Italian_Jewish @ 5.48
17 85.3% Southeast_English + 14.7% Palestinian @ 5.5
18 66% Danish + 34% Tuscan @ 5.51
19 78.4% Southeast_English + 21.6% East_Sicilian @ 5.51
20 73% Norwegian + 27% Italian_Jewish @ 5.53

(Vahaduo)
Distance to: Friend
8.04932295 Swiss_German
8.05001863 French_Alsace
8.13111308 French_North
8.14874223 German_Southwest
8.43356983 Belgian
8.58210347 Austrian_Burgenland
9.54534965 French_Central
9.55016230 Austrian_Salzburg-Upper_Austria
10.24950731 Dutch_South
10.52887933 Austrian_Tyrol
10.65962007 Swiss_French
10.99941362 French_Brittany
11.44775087 German
11.92720001 English_Southeast
12.01403346 Austrian
12.31358092 Austrian_Lower_Austria
12.43701733 Italian_Aosta_Valley
12.55419850 English_Midlands
12.90410787 Dutch
13.11889477 English_Southwest
13.49110448 Dutch_Central
13.62180238 English_North
13.62951577 German_Northwest
13.80371327 German_Southeast
14.23650940 Welsh


Target: Friend
Distance: 5.3976% / 5.39759967 | ADC: 0.25x RC
46.8 Dutch_North
28.0 Austrian_Burgenland
13.3 Spanish_Valencia
11.9 Jew_Morroco


Target: Friend
Distance: 6.2549% / 6.25489104 | ADC: 0.5x RC
51.2 Austrian_Burgenland
37.1 French_North
11.7 Spanish_Valencia

And do you detect any jewish thing with the global 25?

You can try....

[Gallop]

It is a controversial subject as it is a religious ethnicity subject to inclusions by conversion and it is easy to include and add whatever is of interest each time so that everything can be made to fit, the last comment I have seen was the inclusion of Alano. I am reading lately about a possible origin of the Askenazi in Turkey so you could get different results on Jewish diversity depending on the source you use.



G25 modern individual samples

Target: Friend
Distance: 0.0041% / 0.00412961
17.5 French_Paris
14.2 French_Alsace
13.9 Danish
10.2 German
10.0 Polish
6.4 Dutch
5.7 Sardinian
5.1 French_Auvergne
4.0 Serbian
3.7 French_Nord
3.2 French_Provence
1.9 French_Seine-Maritime
1.6 Greek_Crete
1.4 Swedish
1.2 Yemenite_Mahra

Target: Friend
Distance: 0.0075% / 0.00749298 | ADC: 0.5x RC
49.3 French_Alsace
16.8 German
15.1 French_Paris
9.2 Hungarian
5.8 Belgian
3.8 French_Nord

Due to its high result with Alsace, its correspondence with Iberian can be understood. Apparently the Askenazi have a strong influence from Lithuania and Poland.



K13


Admix Results (sorted):

# Population Percent
1 North_Atlantic 44.32
2 Baltic 21.67
3 East_Med 15.09
4 West_Med 14.01
5 West_Asian 3.49

Using 1 population approximation:
1 West_German @ 7.699903
2 South_Dutch @ 8.592491
3 French @ 9.221016
4 Southeast_English @ 11.986484
5 Austrian @ 13.520852
6 North_German @ 13.744538
7 Danish @ 14.517849
8 Southwest_English @ 14.748056
9 North_Dutch @ 14.789368
10 Orcadian @ 14.907266
11 East_German @ 15.672664
12 Spanish_Cataluna @ 15.673914
13 Irish @ 16.400196
14 West_Scottish @ 16.443647
15 Portuguese @ 16.861872
16 Hungarian @ 16.929449
17 Spanish_Castilla_Y_Leon @ 17.147041
18 Norwegian @ 17.214922
19 Spanish_Galicia @ 17.638224
20 Swedish @ 17.968576

Using 2 populations approximation:
1 50% North_Italian +50% Norwegian @ 7.461639


Using 3 populations approximation:
1 50% Danish +25% Italian_Jewish +25% Southeast_English @ 5.739264


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++
1 Ashkenazi + Southeast_English + Southeast_English + Southeast_English @ 5.267510
2 Ashkenazi + Danish + Southeast_English + Southeast_English @ 5.416450
3 Ashkenazi + Norwegian + Southeast_English + Southeast_English @ 5.452104
4 Ashkenazi + North_Dutch + Southeast_English + Southeast_English @ 5.457597
5 Ashkenazi + Orcadian + Southeast_English + Southeast_English @ 5.480302
6 Italian_Jewish + Norwegian + Southeast_English + Southeast_English @ 5.502892
7 Ashkenazi + Southeast_English + Southeast_English + West_Scottish @ 5.591706
8 Italian_Jewish + Southeast_English + Southeast_English + Swedish @ 5.610604
9 Danish + Italian_Jewish + Norwegian + Southeast_English @ 5.631258
10 Italian_Jewish + Norwegian + Norwegian + Southeast_English @ 5.647812
11 Ashkenazi + Southeast_English + Southeast_English + Southwest_English @ 5.682607
12 Italian_Jewish + North_Dutch + Norwegian + Southeast_English @ 5.699117
13 Italian_Jewish + Norwegian + Orcadian + Southeast_English @ 5.706295
14 Danish + Italian_Jewish + Southeast_English + Southeast_English @ 5.722969
15 Danish + Danish + Italian_Jewish + Southeast_English @ 5.739264
16 Ashkenazi + Irish + Southeast_English + Southeast_English @ 5.768413
17 Ashkenazi + Danish + Orcadian + Southeast_English @ 5.772142
18 Danish + Italian_Jewish + North_Dutch + Southeast_English @ 5.774739
19 Ashkenazi + Danish + Southeast_English + Southwest_English @ 5.777637
20 Italian_Jewish + North_Dutch + Southeast_English + Southeast_English @ 5.793653



Target: Friend
Distance: 0.0008% / 0.00083702
16.4 GRC_Minoan_Odigitria_low_res
11.7 Baltic_LTU_Late_Antiquity_low_res
11.6 VK2020_NOR_Mid_MA
8.3 England_C_EBA_low_res
7.6 England_EastYorkshire_MIA_LIA
7.4 VK2020_SWE_Skara_VA
5.2 CHE_FN_steppe_contam
4.1 VK2020_SWE_Gotland_VA
2.8 VK2020_Faroes_EM
2.7 VK2020_SWE_Oland_VA
2.6 CZE_IA_La_Tene_low_res
2.6 England_LIA_low_res
2.6 ITA_Collegno_MA
2.5 Levant_ISR_C
2.4 England_CA_EBA
2.1 DEU_LBK_KD
2.1 England_MIA_low_res
1.5 England_MIA
1.4 RUS_Sintashta_MLBA
0.8 DEU_LBK_SMH
0.7 ITA_Daunian
0.5 England_MIA_LIA_low_res
0.2 POL_Globular_Amphora_low_res
0.1 England_LBA_low_res
0.1 UKR_Trypillia

Target: Friend
Distance: 0.1822% / 0.18217158
36.9 Basque_Spanish
35.0 Icelandic
25.7 Lithuanian_VZ
2.4 Sorb_Niederlausitz


There are no Ashkenazi in this source. I have not been able to publish the source because of too many characters. But it gets a relationship with Turkey, it is possible that they overlap.

Target: Friend
Distance: 0.0236% / 0.02362812
82.6 Czech
10.2 Sicilian
7.2 Jew_Turkish

Target: Friend
Distance: 0.0236% / 0.02362812
57.6 Czech:CS21
25.0 Czech:CS35
10.2 Sicilian:SR44
7.2 Jew_Turkish:SephardiJewTurkey5033


Different methods three results with different label of beans so they may overlap, could be subject to the different sources used or that the area where this person is from has had a mixture between these three types of Jews.

According to the source he gets:


Ashkenazi + Southeast_English + Southeast_English + Southeast_English @ 5.267510
Italian_Jewish
ew_Turkish:SephardiJewTurkey5033

Based on the results with Lithuania, Poland, Southeast_English and to some extent Turkey opt for Askenazi.

[Nausevar]

With low west asian he/she can't be AJ.

[Gallop]

With low west asian he/she can't be AJ.

He or she may have a Jewish ancestor, grandfather, great-grandfather, great-great-grandfather, who knows..., evidently he or she will not get the values of a full Askenazi Jew.

[Gallop]

Distance to: Friend
0.02045704 HUN_MA_Szolad
0.02144870 ITA_Collegno_MA
0.02329429 ITA_Rome_Renaissance
0.02336736 CZE_IA_Hallstatt
0.02532444 CZE_IA_La_Tene
0.02601059 Iberia_Northeast_c.6CE_PL
0.02618529 SVK_LIA_La_Tene
0.02763779 CZE_LBA_Knoviz
0.02820829 FRA_Champagne_IA2
0.02929721 CZE_IA_La_Tene_low_res
0.02955569 CZE_MBA_Tumulus
0.03160707 HUN_IA_La_Tene
0.03196091 HUN_EIA_Prescythian_Mezocsat
0.03218701 SVK_IA_Vekerzug
0.03233892 VK2020_DNK_Jutland_VA
0.03234462 DEU_Lech_BBC
0.03253318 VK2020_DNK_Langeland_VA
0.03308242 Scythian_HUN
0.03311838 Bell_Beaker_HUN_EBA
0.03342898 DEU_Lech_EBA_contam
0.03345331 Bell_Beaker_Bavaria
0.03350524 HUN_LBA
0.03385156 England_LBA_highEEF
0.03410335 VK2020_SWE_Karda_VA
0.03426017 Levant_LBN_MA_o2


Distance to: Sephardic_Jew
0.02383327 ITA_Rome_Imperial
0.02801395 ITA_Venosa_EMA
0.02879346 ITA_Marsiliana_Imperial
0.03081453 ITA_Collegno_MA_o1
0.03652074 ITA_Ardea_Latini_IA_o
0.03972973 IND_Roopkund_B
0.04403129 Levant_Ashkelon_IA1
0.04829014 ITA_Tarquinia_Imperial
0.04836252 ITA_Sardinia_Late_Antiquity
0.04864748 VK2020_ITA_Foggia_MA
0.04942101 IND_Roopkund_B_o
0.04950498 Levant_LBN_MA_o3
0.05076994 ITA_Tivoli_Renaissance
0.05120434 ITA_Tarquinia_EMA
0.05228396 ITA_Chiusi_EMA
0.05265295 TUR_Ovaoren_EBA
0.05357264 Levant_Beirut_IAIII
0.05392877 ITA_Rome_Late_Antiquity
0.05435303 ITA_Etruscan_Tarquinia_Afr
0.05468214 TUR_Kaman-Kalehoyuk_MLBA
0.05470063 TUR_Barcin_C
0.05498850 Levant_LBN_MA
0.05519750 TUR_Kaman-Kalehoyuk_MLBA_low_res
0.05542420 ITA_Prenestini_tribe_IA_o
0.05700342 Levant_LBN_Roman



Target: Friend
Distance: 0.0083% / 0.00831474 | R5P
49.5 England_Saxon
18.9 GRC_Minoan_Odigitria_low_res
14.3 Baltic_LTU_Late_Antiquity_low_res
11.3 ITA_Broion_EBA
6.0 Corded_Ware_Proto-Unetice_POL

Target: Sephardic_Jew
Distance: 0.0057% / 0.00573073 | R5P
32.4 ITA_Etruscan_Tarquinia_Afr
26.0 IRN_Hajji_Firuz_IA
19.7 HUN_MA_Szolad_o1
16.8 EGY_Late_Period
5.1 FRA_Champagne_IA2_low_res

Target: Friend
Distance: 0.0080% / 0.00803372 | R6P
48.4 England_Saxon
13.8 Baltic_LTU_Late_Antiquity_low_res
12.7 GRC_Minoan_Odigitria_low_res
12.0 ITA_Broion_EBA
8.0 BGR_IA
5.1 Corded_Ware_Proto-Unetice_POL


Target: Sephardic_Jew
Distance: 0.0042% / 0.00423006 | R6P
26.8 ITA_Marsiliana_Imperial
25.1 IRN_Hajji_Firuz_IA
22.0 GRC_Manika_Helladic_EBA
11.3 Levant_Beirut_IAIII_Egyptian
8.8 FRA_Champagne_IA2_low_res
6.0 Canary_Islands_Guanche


As can be seen, if there is anything Jewish about him, he is not Sephardic.


Sephardic coordinates
https://www.reddit.com/r/23andme/comments/l1jjry/any_sephardic_g25_coordinatesresults/

[J.S.]

I don't understand anything about "Friend's results", especially the K13. K15 is almost worse in terms of jewish component...Actually, "Friend" is mainly from Normandy and North of France. His maternal grand-father was adopted by a Norman family.

I am definitely not very knowledgeable but my feeling is that gedmatch K-thing modeling is crap.

[Ajeje Brazorf]

He has Slavic, not Jewish, origins.


Target: Friend
Distance: 0.0147% / 0.01469392 | R2P
79.3 French_Paris
20.7 Sorb_Niederlausitz

Target: Friend
Distance: 0.0159% / 0.01588855 | R2P
89.5 French_Alsace
10.5 Slovakian

[J.S.]

dlt

[J.S.]

He has Slavic, not Jewish, origins.


Target: Friend
Distance: 0.0147% / 0.01469392 | R2P
79.3 French_Paris
20.7 Sorb_Niederlausitz

Target: Friend
Distance: 0.0159% / 0.01588855 | R2P
89.5 French_Alsace
10.5 Slovakian
G25 average modern population
Target: J.S.FrancoBéarnais
Distance: 0.0282% / 0.02818537 | R2P
78.0 Spanish_Pais_Vasco
22.0 German_East
Crap


G25 modern individual samples
Target: J.S.FrancoBéarnais
Distance: 0.0204% / 0.02039487 | R2P
67.7 Irish
32.3 Sardinian
Crap

G25 modern individual samples with more French samples
Target: J.S.FrancoBéarnais
Distance: 0.0194% / 0.01942298 | R2P
61.3 Basque_French_Lower_Navarre
38.7 German
Crap
Either the G25 algorithm is crap or the panel is not representative or both. Last option, we don't know how tu use it properly...
Anyway, how do you explain his Gedmatch mixed models?

G25 modern individual with more French samples
Target: Friend
Distance: 0.0077% / 0.00769349 | R2P
63.0 French_Alsace
37.0 German

Target: Friend
Distance: 0.0063% / 0.00626892 | R3P
56.7 French_Alsace
28.8 French_Paris
14.5 Polish

Target: Friend
Distance: 0.0056% / 0.00560570 | R4P
40.3 French_Alsace
30.8 German
20.2 French_Paris
8.7 Albanian

Target: Friend
Distance: 0.0053% / 0.00525348 | R5P
35.2 French_Alsace
22.8 German
21.9 French_Paris
10.4 Albanian
9.7 Danish

Target: Friend
Distance: 0.0048% / 0.00478950 | R6P
27.4 French_Paris
25.0 French_Alsace
19.4 Polish
12.4 Dutch
10.2 Basque_French_Soule
5.6 Greek_Crete

Target: Friend
Distance: 0.0045% / 0.00449291 | R7P
24.3 French_Paris
21.4 French_Alsace
16.6 German
12.9 Polish
9.3 Danish
8.1 Basque_French_Soule
7.4 Greek_Crete

[Ajeje Brazorf]

G25 average modern population
Target: J.S.FrancoBéarnais
Distance: 0.0282% / 0.02818537 | R2P
78.0 Spanish_Pais_Vasco
22.0 German_East
Crap


G25 modern individual samples
Target: J.S.FrancoBéarnais
Distance: 0.0204% / 0.02039487 | R2P
67.7 Irish
32.3 Sardinian
Crap

G25 modern individual samples with more French samples
Target: J.S.FrancoBéarnais
Distance: 0.0194% / 0.01942298 | R2P
61.3 Basque_French_Lower_Navarre
38.7 German
Crap
Either the G25 algorithm is crap or the panel is not representative or both. Last option, we don't know how tu use it properly...

I get this, which if I'm not mistaken doesn't deviate much from your true ancestry.


Target: J.S._scaled
Distance: 0.0271% / 0.02710009 | R2P
64.7 Basque_French
35.3 BelgianA

[Flashball]

He has Slavic, not Jewish, origins.


Target: Friend
Distance: 0.0147% / 0.01469392 | R2P
79.3 French_Paris
20.7 Sorb_Niederlausitz

Target: Friend
Distance: 0.0159% / 0.01588855 | R2P
89.5 French_Alsace
10.5 Slovakian

With 25-12% of jewish (or variant) origin, should he have some tepecik on the global 25 "davidsky"?

Thanks

[Flashball]

He has Slavic, not Jewish, origins.


Target: Friend
Distance: 0.0147% / 0.01469392 | R2P
79.3 French_Paris
20.7 Sorb_Niederlausitz

Target: Friend
Distance: 0.0159% / 0.01588855 | R2P
89.5 French_Alsace
10.5 Slovakian

For example, a 75% french (Northern France) mixed with Apulian (25%)
75%FR-25% Apulien,0.120652,0.146236,0.035826,-0.005814,0.037238,0.000558,0.006815,0.003461,0.016 771,0.020046,-0.005521,0.006444,-0.004906,-0.001239,-0.000136,0.002121,-0.005867,0.007981,-0.000503,0.002251,0.002246,0.000618,0.002342,0.007 109,0.002036

Target: 75%FR-25%Apulien
Distance: 0.0350% / 0.03502437
40.1 TUR_Barcin_N
32.9 Yamnaya_RUS_Samara
16.9 TUR_Tepecik_Ciftlik_N
9.3 WHG
0.8 MAR_Taforalt


The "friend" (guy)
Target: Friend
Distance: 0.0421% / 0.04212701
45.9 TUR_Barcin_N
41.5 Yamnaya_RUS_Samara
12.6 WHG


Now, compare the same guy ("friend") with his weird gedmatch modelisation and his "jewish"/southern italian jewish admixture showing on the K15 and 13....

[Ajeje Brazorf]

With 25-12% of jewish (or variant) origin, should he have some tepecik on the global 25 "davidsky"?

Thanks

It depends. With 12% maybe it wouldn't come out in Davidski's classic model, but with 25% some signal remains (crumbs of North African, Middle Eastern or similar DNA). Tepecik is replaceable and not needed in models.


Target: Flashball_friend
Distance: 0.0421% / 0.04212701
45.9 TUR_Barcin_N
41.5 Yamnaya_RUS_Samara
12.6 WHG

Examples


50%French_Paris+50%French_Jew,0.111391388,0.142566 438,0.01764965,-0.01368345,0.0251061,-0.00509135,0.000136125,0.001703138,0.01008335,0.01 8859388,-0.001965175,0.002937675,-0.005199,-0.006344763,0.005061063,0.004622613,-0.000464438,0.001200013,0.000285663,-0.0031854,0.000655788,0.000342288,-0.000431438,0.006865563,-0.000151738
75%French_Paris+25%French_Jew,0.119281394,0.142000 969,0.034040475,0.005153325,0.0330044,0.002106725, 0.001467313,0.003578769,0.010842775,0.018516644,-0.004835638,0.004874888,-0.00905275,-0.008364581,0.009415281,0.005342856,-0.001144969,0.002932206,0.001496931,-0.0020816,0.001428244,0.001958494,-0.000831969,0.009003031,-0.001028419
87.5%French_Paris+12.5%French_Jew,0.123226397,0.14 1718234,0.042235888,0.014571713,0.03695355,0.00570 5763,0.002132906,0.004516584,0.011222488,0.0183452 72,-0.006270869,0.005843494,-0.010979625,-0.009374491,0.011592391,0.005702978,-0.001485234,0.003798303,0.002102566,-0.0015297,0.001814472,0.002766597,-0.001032234,0.010071766,-0.001466759

With Tepecik


Target: 87.5%French_Paris+12.5%French_Jew
Distance: 0.0342% / 0.03415234
49.6 TUR_Barcin_N
40.0 Yamnaya_RUS_Samara
10.1 WHG
0.3 MAR_Taforalt

Target: 75%French_Paris+25%French_Jew
Distance: 0.0298% / 0.02982167
50.6 TUR_Barcin_N
39.1 Yamnaya_RUS_Samara
7.9 WHG
1.3 MAR_Taforalt
1.1 TUR_Tepecik_Ciftlik_N

Target: 50%French_Paris+50%French_Jew
Distance: 0.0234% / 0.02344101
34.3 Yamnaya_RUS_Samara
33.2 TUR_Tepecik_Ciftlik_N
25.2 TUR_Barcin_N
4.8 WHG
2.5 MAR_Taforalt

Without Tepecik


Target: 87.5%French_Paris+12.5%French_Jew
Distance: 0.0342% / 0.03415234
49.6 TUR_Barcin_N
40.0 Yamnaya_RUS_Samara
10.1 WHG
0.3 MAR_Taforalt

Target: 75%French_Paris+25%French_Jew
Distance: 0.0298% / 0.02982373
51.5 TUR_Barcin_N
39.2 Yamnaya_RUS_Samara
7.9 WHG
1.4 MAR_Taforalt

Target: 50%French_Paris+50%French_Jew
Distance: 0.0249% / 0.02493602
48.4 TUR_Barcin_N
35.8 Yamnaya_RUS_Samara
7.6 Levant_PPNB
4.3 WHG
2.0 IRN_Ganj_Dareh_N
1.9 MAR_Taforalt

Your friend on Eurogenes K13 has very little West_Asian but in return has a lot of East_Med, which may make him look like he has Jewish ancestry, but his Global25 coordinates do not support this. Also note how he has more "BALTIC_BA" affinity than a hypothetical French-Jewish mix.

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

(doesn't have Iran_N, it's just Global25 confusing CHG for this signal)

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

[J.S.]

del

[Ajeje Brazorf]

Is there some kind of Jews with high level of Baltic_BA?

Among the modern averages, Ashkenazi_Ukraine is the one that has the most of that component, about 17.6% using the model in the first table I attached.

I should mention that "Baltic_BA" is a component I add to differentiate Northwestern Europeans from Eastern Europeans, because in terms of ancestral components (EEF+WHG+Steppe) they may partly overlap. In Slavs however, this component inflates Iran_N, which for some reason gets confused for CHG.

When you make a model and use all modern averages, excluding those formed by less than 3 samples, you get this:


Target: Flashball_friend
Distance: 0.0144% / 0.01436053
41.4 French_Paris
13.1 Italian_Bergamo
12.4 BelgianB
8.9 Lithuanian_VZ
5.5 Shetlandic
5.4 Slovakian
4.1 Basque_French
4.1 Dutch
2.9 Lithuanian_RA
2.2 Yemenite_Jew

Does it indicate any form of recent Jewish ancestry? May as well as may not. It is just something very distant, almost noise. What I see is not so much a southward shift, but an eastward one.

https://i.imgur.com/WuYoa0k.png

[J.S.]

Among the modern averages, Ashkenazi_Ukraine is the one that has the most of that component, about 17.6% using the model in the first table I attached.

I should mention that "Baltic_BA" is a component I add to differentiate Northwestern Europeans from Eastern Europeans, because in terms of ancestral components (EEF+WHG+Steppe) they may partly overlap. In Slavs however, this component inflates Iran_N, which for some reason gets confused for CHG.

When you make a model and use all modern averages, excluding those formed by less than 3 samples, you get this:


Target: Flashball_friend
Distance: 0.0144% / 0.01436053
41.4 French_Paris
13.1 Italian_Bergamo
12.4 BelgianB
8.9 Lithuanian_VZ
5.5 Shetlandic
5.4 Slovakian
4.1 Basque_French
4.1 Dutch
2.9 Lithuanian_RA
2.2 Yemenite_Jew

Does it indicate any form of recent Jewish ancestry? May as well as may not. It is just something very distant, almost noise. What I see is not so much a southward shift, but an eastward one.

https://i.imgur.com/WuYoa0k.png

Thank you very much for all your explanations. I now understand much better your point.

[Flashball]

Among the modern averages, Ashkenazi_Ukraine is the one that has the most of that component, about 17.6% using the model in the first table I attached.

I should mention that "Baltic_BA" is a component I add to differentiate Northwestern Europeans from Eastern Europeans, because in terms of ancestral components (EEF+WHG+Steppe) they may partly overlap. In Slavs however, this component inflates Iran_N, which for some reason gets confused for CHG.

When you make a model and use all modern averages, excluding those formed by less than 3 samples, you get this:


Target: Flashball_friend
Distance: 0.0144% / 0.01436053
41.4 French_Paris
13.1 Italian_Bergamo
12.4 BelgianB
8.9 Lithuanian_VZ
5.5 Shetlandic
5.4 Slovakian
4.1 Basque_French
4.1 Dutch
2.9 Lithuanian_RA
2.2 Yemenite_Jew

Does it indicate any form of recent Jewish ancestry? May as well as may not. It is just something very distant, almost noise. What I see is not so much a southward shift, but an eastward one.

https://i.imgur.com/WuYoa0k.png

Thanks

[gixajo]

With me

.


Compared with me:


Largest segment = 5.5 cM

Total Half-Match segments (HIR) 103.7cM (2.89 Pct)

28 shared segments found for this comparison.

413995 SNPs used for this comparison.

70.644 Pct SNPs are full identical

Comparison took 0.52.
CPU time used: 0.056.

[gixajo]

He/she seems to be North French, or maybe a standard French mixed with any Germa+Slav+Balkan ethnicity. Has he/she for example some "far" Hungarian ancestry?

[Roy]

French?

[J.S.]

Your friend on Eurogenes K13 has (...) a lot of East_Med,]

Where does it come from??? By the way, you need to know that according to him, his GF looked so "wog" he was wondering if he did not have non European ancestry. Taking it and the Gedmatch Eurogenes K13/15 results, that's why we were very confused.

[Ajeje Brazorf]

Where does it come from??? By the way, you need to know that according to him, his GF looked so "wog" he was wondering if he did not have non European ancestry. Taking it and the Gedmatch Eurogenes K13/15 results, that's why we were very confused.

I had mentioned that for some strange reason, East_Med gets inflated at the expense of West_Med, and that this can make it seem like he has Jewish ancestry. I think it's just a calculator's flaw, because this doesn't show up in the Global25 coordinates, he is in fact a very common EEF/WHG/ANE/CHG like hundreds of millions of white Europeans.

You mean his girlfriend is wog? Good Taste. :cool:

[J.S.]

You mean his girlfriend is wog? Good Taste. :cool:

:) :cool::1127: