謝謝分享！

積極參與，圖片的數據主人：zikoupa,籍貫：湖北襄陽
最接近的前三依次是彝族、納西、日本，說明他們的樣本庫有問題
?

是這個嗎？這是我的結果：
?Eurogenes K13 4-Ancestors OracleThis program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 East_Asian 84.97
2 Siberian 13.46

Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 She @ 0.904933
2 Miaozu @ 3.006994
3 Tujia @ 5.380903
4 Lahu @ 7.071651
5 Vietnamese @ 9.911296
6 Dai @ 13.735746
7 Yizu @ 18.196348
8 Naxi @ 19.886772
9 Cambodian @ 21.270185
10 Malay @ 24.738157
11 Japanese @ 26.403515
12 Tu @ 28.024103
13 Tibeto-Burman_Burmese @ 30.525105
14 Xibo @ 39.260242
15 Hezhen @ 40.729614
16 Mongolian @ 64.938301
17 Uygur @ 65.912994
18 Kirgiz @ 67.260010
19 Kazakh @ 69.036385
20 Hazara @ 70.334961

Using 2 populations approximation:
1 50% She +50% She @ 0.904933


Using 3 populations approximation:
1 50% She +25% She +25% She @ 0.904933


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++
1 She + She + She + She @ 0.904933
2 Miaozu + She + She + She @ 1.304532
3 Miaozu + Miaozu + She + She @ 1.856705
4 Dai + She + Tujia + Tujia @ 1.862257
5 Lahu + She + She + She @ 1.902364
6 She + She + She + Tujia @ 1.942265
7 She + She + Tujia + Vietnamese @ 1.961243
8 Dai + Tujia + Tujia + Tujia @ 2.153396
9 Dai + Miaozu + Tujia + Tujia @ 2.190764
10 Dai + She + She + Tujia @ 2.216127
11 She + She + She + Vietnamese @ 2.239499
12 Dai + Miaozu + She + Tujia @ 2.261253
13 Miaozu + She + She + Vietnamese @ 2.285641
14 Miaozu + She + Tujia + Vietnamese @ 2.298950
15 She + Tujia + Tujia + Vietnamese @ 2.317131
16 Lahu + Miaozu + She + She @ 2.359868
17 Miaozu + Miaozu + Miaozu + She @ 2.429257
18 Dai + Miaozu + Miaozu + Tujia @ 2.440971
19 Miaozu + She + She + Tujia @ 2.441945
20 Miaozu + Miaozu + She + Vietnamese @ 2.486557

Done.

# Population Percent
1 East_Asian 79.04
2 Siberian 17.9
3 Red_Sea 1.6
4 Amerindian 0.65
5 Oceanian 0.5
6 Northeast_African 0.28
7 West_Asian 0.02
Single Population Sharing:

# Population (source) Distance
1 Tujia 2.76
2 Miaozu 5.16
3 She
?
也不知道老用戶的數據什么時候能優化

Admix Results (sorted):

# Population Percent
1 East_Asian 82.28
2 Siberian 16.2
3 Oceanian 0.56
4 Red_Sea 0.52
5 Amerindian 0.22
6 Northeast_African 0.19
7 Sub-Saharan 0.02

威廉兄，這得注明了，gm和wg的k13差異很大啊！不能放一起比較了。

1 Siberian 45.02
2 East_Asian 41.55
3 Baltic 4.03
4 West_Asian 3.2
5 Amerindian 2.17
6 East_Med 2.12
7 Red_Sea 1.45
8 Oceanian 0.41
9 South_Asian 0.07

整天發這種破東西！一兩個人能代表緯度什么的，感覺地域色彩很強，不知道想表達些什么？！

Population
North_Atlantic 1.71
Baltic -
West_Med 0.17
West_Asian 0.13
East_Med 1.76
Red_Sea -
South_Asian 15.52
East_Asian 51.60
Siberian 26.28
Amerindian 0.45
Oceanian 1.76
Northeast_African -
Sub-Saharan 0.59

樓主的一個地方需要糾正，傣族樣本的結果只代表更接近標桿，還無法完全說明就是標桿。圖中的是王傳超教授的383個東亞現代人樣本里面的其中一個毛南族K13結果，東亞94%以上，比傣族更接近Eurogenes K13東亞（南東亞）標桿。

由于缺少Nganassan人的原始數據，所以暫時還沒法驗證他們在K13的西伯利亞結果是否比埃文人和鄂溫克族更高，雖然他們在其他計算器里有數值最高的西伯利亞成分。

已更新。

為毛我兒子樣本在英文網站看到的20.66，微基因得只有18.1，難道是不一樣的？

我爸：襄陽+上虞
1 East_Asian 76.81
2?Siberian ? 21.67
我：+興化+泰州
1 East_Asian 76.49
2 Siberian 21.5
3 West_Med 1.1
4 Amerindian 0.9

福建福州，微基因結果

西伯利亞： 18.1%
美國印第安人： 0.001%
西非： 0.001%
古非洲： 0.275%
西南亞： 0.001%
東亞： 81%
地中海： 0.001%
澳大利亞： 0.001%
北極： 0.239%
西亞： 0.428%
北歐： 0.001%
南亞： 0.001%
東非： 0.001%

North_Atlantic -
Baltic -
West_Med -
West_Asian -
East_Med -
Red_Sea -
South_Asian -
East_Asian 78.94
Siberian 20.66
Amerindian -
Oceanian -
Northeast_African 0.06
Sub-Saharan 0.34
?
同一份樣本，洋大人網站的結果

以東亞80為界線，以上南方人，以下北方人。

就我個人結果而言，微機因和蓋麥哧計算的主成份差不多，北族成份幾乎一致，北漢成份倒是難對應上。

Population
North_Atlantic 0.06
Baltic -
West_Med 0.51
West_Asian -
East_Med -
Red_Sea 0.26
South_Asian -
East_Asian 70.81
Siberian 28.24
Amerindian -
Oceanian -
Northeast_African 0.13
Sub-Saharan -
威廉兄，這是我上gedmatch運算出來的，有差異啊……
Eurogenes K13 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 East_Asian 70.81
2 Siberian 28.24


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Naxi @ 4.702106
2 Yizu @ 5.815392
3 Japanese @ 6.111642
4 Tu @ 9.614325
5 Tujia @ 15.173395
6 Miaozu @ 17.989491
7 Xibo @ 19.003914
8 She @ 19.759180
9 Hezhen @ 20.369545
10 Lahu @ 21.996555
11 Tibeto-Burman_Burmese @ 25.639519
12 Vietnamese @ 28.366165
13 Cambodian @ 31.890591
14 Malay @ 33.278725
15 Dai @ 33.351139
16 Mongolian @ 45.657612
17 Kirgiz @ 50.259434
18 Kazakh @ 52.570118
19 Uygur @ 53.475315
20 Buryat @ 53.923840

Using 2 populations approximation:
1 50% Hezhen +50% She @ 1.466205


Using 3 populations approximation:
1 50% Japanese +25% Japanese +25% She @ 1.344311


Using 4 populations approximation:
++++++++++++++++++++++++++++
1 Oroqen + She + She + She @ 0.886430
2 Miaozu + Oroqen + She + She @ 1.324261
3 Japanese + Japanese + Japanese + She @ 1.344311
4 Hezhen + Hezhen + She + She @ 1.466205
5 Japanese + Japanese + Japanese + Tujia @ 1.509357
6 Japanese + Japanese + Japanese + Miaozu @ 1.581743
7 Hezhen + She + She + Xibo @ 1.632727
8 Oroqen + She + She + Tujia @ 1.666492
9 Hezhen + Japanese + Tujia + Tujia @ 1.740213
10 Miaozu + Miaozu + Oroqen + She @ 1.866019
11 Hezhen + Hezhen + Miaozu + She @ 1.899620
12 Hezhen + Miaozu + She + Xibo @ 1.957370
13 Hezhen + She + Tujia + Xibo @ 1.985816
14 She + She + Xibo + Xibo @ 1.998033
15 Hezhen + Hezhen + She + Tujia @ 2.066628
16 She + Tujia + Xibo + Xibo @ 2.094833
17 Japanese + Tujia + Tujia + Xibo @ 2.104618
18 Miaozu + Oroqen + She + Tujia @ 2.226981
19 Miaozu + She + Xibo + Xibo @ 2.230605
20 Japanese + Japanese + Naxi + Tujia @ 2.249621

K13 Oracle
East_Asian 70.45
Siberian 26.54
West_Asian 2.51
Amerindian 0.5

?Eurogenes K13 Admixture Proportions
Wegene老用戶，在這個算法下沒有非洲成分。
#Population Percent
East_Asian 71.282
Siberian 26.753
Red_Sea 1.29
East_med 0.68

可以看出，我的成分在漢族里面是很高的。

?