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Received: 3,420 Given: 4,234 |
Would be better print and show u but im not actually in Pc rn so
U just need copy a sample, go to vahaduo and pasye in "target", after that choose any sample(s) and paste in "Source" , ur target sample will be modeled as a mix of the source giving u a possible results, the bad thing its that g25 dont actually validate or no their results unlike qpAdm that why u should do a model in qpAdm and if that model be validated by a good P-value and low Error u should use the same model in g25 and test at individual level bcs g25 its very easy to use unlike qpAdm
More Details about my Bahian & Portuguese ancestry:
Spoiler!
Thumbs Up |
Received: 3,420 Given: 4,234 |
Thumbs Up |
Received: 3,420 Given: 4,234 |
Thumbs Up |
Received: 3,420 Given: 4,234 |
More Details about my Bahian & Portuguese ancestry:
Spoiler!
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Received: 6,503 Given: 10,131 |
Try my model from Early Middle Ages (Just for Latin American and Iberian people):
Code:Sub_Saharan_African:Esan_Nigeria,-0.6321452,0.064613,0.02324,0.0182899,-0.0031929,0.0146768,-0.0412151,0.0464115,-0.0510541,0.0350349,0.0082612,-0.0014613,0.0233582,0.0032685,0.012147,-0.0095133,0.0067475,0.003294,0.006065,-0.0035332,0.0003899,0.0012829,-0.000724,-0.0002561,-0.000928 Sub_Saharan_African:Kongo,-0.628304,0.064994,0.020365,0.017442,-0.000615,0.016176,-0.016451,0.020076,-0.033746,0.020228,0.008607,-0.003147,-0.001933,0.001514,-0.006786,0.00769,-0.009648,0.00114,0.001257,0.003502,-0.002496,-0.000989,0.001109,-0.001084,-0.006826 Sub_Saharan_African:Gambian,-0.609409,0.0658062,0.0187808,0.011628,0.001354,0.0068606,-0.0358156,0.0374754,-0.0328466,0.0246748,0.0047744,-0.0045258,0.0146876,-0.000936,0.0117806,-0.0170244,0.0099094,-0.0007854,-0.001433,-0.0030764,-0.0031446,-0.0009152,0.0048806,0.0002168,0.0025146 Berber_MA:Berber_MAR_TIZ,-0.068397364,0.13608082,-0.002537,-0.081924545,0.031586273,-0.038106636,-0.033115091,0.010866636,0.083910364,0.034591727,0. 009271,-0.0092644545,0.025475091,-0.021456727,0.021061273,-0.017200364,0.0015290909,-0.031257273,-0.057981091,0.013586091,-0.022256273,-0.054531,0.032963,-0.0050060909,0.0083388182 Berber_MA:Canary_Islands_Guanche,-0.0393828,0.1314096,-0.0023384,-0.0687344,0.0337292,-0.0363672,-0.0299874,0.008261,0.0708878,0.0305428,0.0075674,-0.0059948,0.0182554,-0.0176982,0.0232082,-0.0130468,0.0031814,-0.019206,-0.044321,0.010405,-0.0134762,-0.0377142,0.0232692,-0.0011806,0.0046224 Southern_Levantine:IA_Abel_&_Megiddo,0.0859365,0.1497905,-0.057888,-0.0960925,-0.01431,-0.0383475,-0.0036425,-0.005654,0.012067,0.006834,0.011692,-0.00532,0.0190285,0.0049545,0.000068,0.0063645,-0.0114085,0.0070315,0.003142,-0.0045025,0.003494,0.0034005,-0.0044985,-0.0001805,-0.005029 Iberian_EMA:Iberia_Northeast_c.6-8CE_ES:I3777,0.125205,0.144205,0.050534,0.018088,0.041546,0.001116,0.004935,0.004615,0.02168,0.023873,-0.008282,0.012439,-0.006095,-0.009909,0.016015,0.002917,0.004955,0.005321,0.005028,-0.00025,0.000374,-0.01286,-0.00037,0.001446,0.000718 Iberian_EMA:Spanish_Pais_Vasco,0.128241,0.1516523,0.0563163,0.008075,0.052112,0.0024173,0.000235,0.002923,0.0277467,0.039849,-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 Iberian_EMA:TZA_Zanzibar_Euro_outlier:I0588,0.106994,0.152329,0.049026,-0.00323,0.047393,-0.008088,-0.00329,0.009461,0.008999,0.037176,-0.010555,0.007943,-0.016501,-0.018854,0.011536,0.000663,0.000391,0.002787,-0.006913,- 0.003001,-0.010981,-0.002597,0.005176,-0.006025,0.00491 Visigoth:Iberia_Northeast_c.6CE_PL,0.12662825,0.136081,0.04714025,0.0250325,0.034237,0.009064,0.0059925,0.0054805,0.00480625,0.00574025,-0.007145,0.004121,-0.010852,-0.00536725,0.00339275,0.00440875,0.0075295,0.00481425,0.00078575,0.00740975,0.006551,0.00102025,-0.002126,0.00659725,-0.003323
Use an East african and Amerindian of which you are a descendant (Or proxy).
Last edited by HelloGuys; 03-14-2023 at 11:45 PM.
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