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View Full Version : How we get the close ethnicity of two g25 coordinates



Ahaddad
11-13-2022, 11:23 AM
Person1Scaled,0.112159133,0.139957389,0.020028122,-0.017571637,0.021623327,-0.011161347,-0.002119981,-0.000222043,0.005057927,0.017987469,0.003154045,0. 011059839,-0.00886883,-0.011388343,0.003810824,-0.00205989,6.65632E-05,0.005447931,-0.006111588,-0.001828164,-0.005422054,0.000255407,-0.00280832,-0.002989443,-0.001808986

Person2Scaled,0.072847,0.132019,-0.047517,-0.06783,-0.013849,-0.018686,-0.002115,-0.008538,0.0045,0.008747,0.002273,-0.008842,0.007433,0.00234,-0.004479,0.006497,-0.000391,-0.003167,0.005656,-0.002376,0.002246,0.000495,0.001602,0.003012,0.001 557

Ahaddad
11-13-2022, 11:23 AM
Who can help to see what their ethnicy by this results Tks

Ahaddad
11-13-2022, 11:40 AM
If someone understand about and can help post here tks

JamesBond007
11-13-2022, 11:45 AM
Nigga you are retarded ? Bitcoin much ?

Ahaddad
11-13-2022, 11:48 AM
Nigga you are retarded ? Bitcoin much ?

Why? I just want help to see this two person ethnicity

Ahaddad
11-13-2022, 12:03 PM
Use Vahaduo app.
https://vahaduo.github.io/


Yes I know about, but I want opinions from people here who know more what ethnicity they think fit better for them.

Mayuk24
11-14-2022, 02:17 AM
Person1Scaled,0.112159133,0.139957389,0.020028122,-0.017571637,0.021623327,-0.011161347,-0.002119981,-0.000222043,0.005057927,0.017987469,0.003154045,0. 011059839,-0.00886883,-0.011388343,0.003810824,-0.00205989,6.65632E-05,0.005447931,-0.006111588,-0.001828164,-0.005422054,0.000255407,-0.00280832,-0.002989443,-0.001808986

Person2Scaled,0.072847,0.132019,-0.047517,-0.06783,-0.013849,-0.018686,-0.002115,-0.008538,0.0045,0.008747,0.002273,-0.008842,0.007433,0.00234,-0.004479,0.006497,-0.000391,-0.003167,0.005656,-0.002376,0.002246,0.000495,0.001602,0.003012,0.001 557


Modern
https://scontent-ord5-1.xx.fbcdn.net/v/t1.15752-9/314797460_1252631355316973_4678649035887538630_n.p ng?_nc_cat=108&ccb=1-7&_nc_sid=ae9488&_nc_ohc=kdD-aSCnIXkAX-ywsBD&_nc_ht=scontent-ord5-1.xx&oh=03_AdSlpScex6SfjjbHwfU5Ea23WpfBr_ZXiI-BZEtg9bF8Hw&oe=63990FDF

500-1000 ad
https://scontent-ord5-1.xx.fbcdn.net/v/t1.15752-9/314718500_1029393191248493_552541488840207928_n.pn g?_nc_cat=101&ccb=1-7&_nc_sid=ae9488&_nc_ohc=AJ4ObQnO5I0AX8PchzJ&_nc_ht=scontent-ord5-1.xx&oh=03_AdTxKjCPXo8WkTWNqWGU3vX6jG4qnBSZFa_KP5qr5MtE 5w&oe=63990FDE

-----------------------------edit

I create 2 synthetic g25 coordinates with the comun samples ...

persona1_39%,0.1001645,0.1436975,0.013388,-0.0326232,0.0243122,-0.0202198,-0.0029378,0.000115,0.01989,0.019727,0.0034912,0.00 17985,0.0090685,-0.0111818,0.00872,0.0091152,-0.0054435,-0.0010135,-0.0049335,0.0103488,0.001154,0.003926,0.001633,0.0 027112,-0.0060175

persona2_13%,0.0994057,0.1506367,-0.0054053,-0.0476967,0.0171317,-0.02259,-0.0099487,-0.0049997,0.023111,0.0091117,0.004493,-0.0150867,0.0159067,-0.0033487,0.0078267,0.0062317,-0.011691,-0.001647,0.001676,0.0138403,0.013227,-0.0002883,-0.0001643,0.0113267,-0.003513

persona1 have 39.6% of the samples that are in the real person1
persona have 13.8% of the samples that are in the real person1


https://scontent-ord5-1.xx.fbcdn.net/v/t1.15752-9/315260887_853081802553267_4434080869516187125_n.pn g?_nc_cat=106&ccb=1-7&_nc_sid=ae9488&_nc_ohc=16iOLazjRY4AX-9f9He&tn=CLSMEwQ7DGkPVbDb&_nc_ht=scontent-ord5-1.xx&oh=03_AdR78AygQDKFTL986ao6yX2a61G_9pfQhz_OKwJjQA17 sw&oe=6399468C


edit 2 ---------------------------------------------------------

I have reduce the pop to just 2 , and I have created a proporcional synthetic pair of coordinates , both share arround ~10% in common.

https://scontent-ord5-1.xx.fbcdn.net/v/t1.15752-9/315206551_528279805514722_8038736373012878944_n.pn g?_nc_cat=105&ccb=1-7&_nc_sid=ae9488&_nc_ohc=omUV4QGWZIIAX-aWEEm&_nc_ht=scontent-ord5-1.xx&oh=03_AdRQoHgH3Ym0pWncBkKFKlx8QC51750dLwaq0swR5j4O Xw&oe=63992EAD


coordenates

7.6+1.8 & 7.8+4 9.4 & 11.8
-----------------------------------------

ITA_Venosa_EMA:VEN012___AD_700___Coverage_16.70%,0 .106994,0.125926,-0.018856,-0.051034,0.012618,-0.031236,-0.004465,-0.007154,0.009817,0.03426,0.002273,0.015137,0.0043 11,-0.01101,-0.008686,0.010872,0.013169,0.005068,-0.006662,0.004502,-0.009733,0.002102,0.011339,0.003856,-0.012574
SYR_Tell_Qarassa_Early_Antiquity:syr005___AD_717__ _unknown_coverage,0.055773,0.151314,-0.045254,-0.12048,-0.005847,-0.058846,-0.014571,-0.007154,0.064016,0.010934,0.024358,-0.018733,0.061843,-0.000275,0.014522,0.017634,-0.032726,-0.011909,0.001131,0.032641,0.023334,0.015828,-0.009737,-0.000602,-0.011496


ITA_Venosa_EMA:VEN015___AD_700___Coverage_74.54%,0 .106994,0.155376,-0.014708,-0.044897,0.007386,-0.016733,-0.00517,-0.005538,0.006545,0.01713,-0.008769,0.002398,-0.003271,0.002615,-0.0076,-0.006895,-0.000261,-0.008615,-0.000126,-0.002876,-0.002745,-0.007543,0.00456,0.001446,0.001197
SYR_Tell_Qarassa_Early_Antiquity:syr013___AD_715__ _unknown_coverage,0.078538,0.152329,-0.065619,-0.124679,-0.000615,-0.051316,-0.015746,-0.016845,0.067288,0.00328,0.012342,-0.039265,0.070317,0.00812,0.002714,0.020684,-0.041853,0.008868,0.002514,0.036643,0.017844,0.019 043,-0.001849,0.00976,-0.013891



p1C_9.4%,0.0967498,0.1310036,-0.0241356,-0.0649232,0.008925,-0.036758,-0.0064862,-0.007154,0.0206568,0.0295948,0.00669,0.008363,0.01 58174,-0.008863,-0.0040444,0.0122244,0.00399,0.0016726,-0.0051034,0.0101298,-0.0031196,0.0048472,0.0071238,0.0029644,-0.0123584
p2C_11.8%,0.0975087,0.1543603,-0.0316783,-0.071491,0.004719,-0.0282607,-0.0086953,-0.009307,0.0267927,0.0125133,-0.001732,-0.0114897,0.0212583,0.00445,-0.004162,0.002298,-0.014125,-0.0027873,0.000754,0.010297,0.004118,0.001319,0.00 24237,0.0042173,-0.0038323
p12C_21.2%,0.0971292,0.142682,-0.027907,-0.0682071,0.006822,-0.0325094,-0.0075908,-0.0082305,0.0237248,0.021054,0.002479,-0.0015634,0.0185378,-0.0022065,-0.0041032,0.0072612,-0.0050675,-0.0005574,-0.0021747,0.0102134,0.0004992,0.0030831,0.0047738, 0.0035908,-0.0080954