Dodecad K12b East Asian and Southeast Asian results [Archive] - The Apricity Forum: A European Cultural Community

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Dr_Maul

10-20-2020, 09:49 PM

Aye!
Do share their results :)

Post Dodecad K12b of East Asians and Southeast Asians. Continuation of this thread for other Eurasians
https://www.theapricity.com/forum/showthread.php?334700-Dodecad-k12b-West-Central-amp-South-Asian-results-Vol-3

Dr_Maul

10-20-2020, 09:54 PM

Chinese/Tibetan
Kit MA4217807
Y-DNA: C-F2613

Admix Results (sorted):

# Population Percent
1 East_Asian 72.44
2 Southeast_Asian 20.24
3 Siberian 7.32

Tibetan
Y-DNA: DP47
Kit BR1246308

# Population Percent
1 East_Asian 61.76
2 Southeast_Asian 19.19
3 Siberian 10.4
4 South_Asian 5.46
5 Southwest_Asian 1.31
6 North_European 1.08
7 East_African 0.42
8 Gedrosia 0.38

Maguzanci

10-21-2020, 04:30 AM

Some Indonesians. Look at how high South Asian they have. Also all the three of them have West Eurasian admixture (Gedrosia+North Euro+Caucasus+SW Asian). Probably come from their Indian and West Asian ancestry.

Indonesian (ethnic Sundanese) from Java

# Population Percent
1 Southeast_Asian 56.25
2 South_Asian 18.84
3 East_Asian 17.4
4 Gedrosia 4.94
5 Southwest_Asian 1.78
6 Sub_Saharan 0.46
7 East_African 0.26
8 North_European 0.09

Indonesian (ethnic Javanese) from Java:

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 65.1
2 South_Asian 16.16
3 East_Asian 11.85
4 Gedrosia 2.92
5 North_European 2.03
6 Siberian 1.56
7 Caucasus 0.3
8 Sub_Saharan 0.08

Indonesian (ethnic Minangkabau) from Sumatra:

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 59.35
2 South_Asian 17.98
3 East_Asian 13.6
4 Gedrosia 4.87
5 Caucasus 1.55
6 North_European 1
7 East_African 0.97
8 Southwest_Asian 0.67
9 Northwest_African 0.01

Amon

10-22-2020, 04:16 AM

Southern Han (N=15)

Cantonese1,0,0,0,55,0,0,0.56,0,0,44.5,0,0
Cantonese2,0,0,0,54.6,0,0,0.48,0,0,44.9,0.05,0
Cantonese3,0.12,0,0,56.7,0,0.12,0.56,0,0,42.5,0,0. 2
Cantonese4,0,0,0,54.4,0,0,0.37,0,0,45.2,0,0.3
Unknown1,0,0,0.09,42.9,0,0,0,0.38,0,56.4,0.19,0.1
Unknown2,0,0.96,0,42.9,0,0,0.5,0.27,0,55.2,0.02,0. 17
Unknown3,0.47,0.42,0,49,0,0,0,0.32,0,49.8,0,0
Unknown4,0.12,0.7,0.02,58.3,0,0.01,0.62,0,0,39.8,0 ,0.4
Guangdong1,0,0.88,0.2,42.1,0,0,0,0,0,56.1,0.42,0.2 7
Guangdong2,0,0,0,54.2,0,0,0.23,0,0,45.6,0,0
Fujian1,0,1.43,0,41.2,0,0,0.27,0.2,0,56.8,0,0.1
Fujian2,0,0,0,48,0,0,0.2,0,0,51.8,0,0
Fujian3,0.28,0,0,45.4,0,0,0,0,0,53.9,0,0.38
Yulin,0,0,0,59.5,0.03,0,0.78,0.4,0,39.1,0.05,0.16
Guangxi,0.03,0.23,0.23,53.1,0,0,0,0,0,46.4,0,0

Avg: Han_south,0.06,0.3,0.03,50.48,0,0,0.3,0.1,0,48.56, 0.04,0.13

Distance to: Han_south
1.04737768 Miaozu
3.71227693 She
12.65254125 Han_central
12.98017719 Tujia
26.93631378 Burmanese

Target: Han_south
Distance: 0.4067% / 0.40668046 | ADC: 0.25x
97.4 Miaozu
1.2 Western_Indonesian
1.0 Burmanese
0.2 Lahu
0.2 PANIYA

Amon

10-22-2020, 04:18 AM

Non-Khalka Mongols (N=10)

Mongol1,5.32,25.4,0,10.31,0,4.43,0.06,0,0,52.5,1.8 3,0
Mongol2,0.9,15.4,0,20.6,0.93,0.42,0,0,0.17,61,0.45 ,0
Mongol3,5.61,26.33,0,12.5,0,1.88,1.82,0,0,51.37,0. 81,0
Mongol4,2.4,24.7,0,15.2,0,3.94,0,0,0.06,52.5,0.94, 0.2
Mongol5,0.71,10.1,0.44,29.6,0.87,1.19,1.08,0.52,0, 52.4,2.3,0.79
Mongol6,2.54,24.5,0,11.8,0,4.42,0.64,0.563,0.97,51 ,3.56,0
Mongol7,2.96,33.83,0,6.06,1.06,4.2,0,0,0.04,48.55, 3.31,0
Mongol8,2.03,23.3,0,13.1,0.89,4.14,1.01,0,0,46.3,9 .22,0
Mongol9,3.39,32.34,0,6.6,0,3.57,0,0.32,1.09,49.14, 3.55,0
Mongol10,0,25.5,0,15.2,0,2.66,1.1,0,0,55.4,0.18,0

Avg: Mongol,2.58,24.14,0.04,14.13,0.37,3.08,0.57,0.14,0 .23,52.01,2.61,0.1

Distance to: Mongol
15.65731139 Mongola
16.75402638 Hezhen
17.51910100 Kalmyk
18.20388420 Daur
18.47498850 Xibo
20.23767279 Mongol_Khalka

Target: Mongol
Distance: 1.5212% / 1.52117777 | ADC: 0.25x
40.2 Kalmyk
24.0 Dungan
20.8 Mongola
10.8 Oroqen
2.0 Miaozu
1.4 Lahu
0.4 Burmanese
0.4 Garo

Amon

10-22-2020, 04:23 AM

Zhuang (N=4)

Zhuang1,0,0,0,73.1,0,0.19,0.2,0,0,26.5,0,0
Zhuang2,0,0,0,70.5,0.28,0,0,0,0,29.2,0,0
Zhuang3,0,0,0,69.6,0,0,0.56,0,0,29.8,0.02,0
Zhuang4,0,0.8,0,66.7,0,0,0.51,0.03,0,32.7,0,0

Avg: Zhuang,0,0.2,0,69.97,0.07,0.04,0.31,0,0,29.55,0,0

Distance to: Zhuang
6.71490879 Vietnamese
11.46943765 Lahu
18.65609820 Dai
23.86665456 Western_Indonesian
27.22663769 Han_south

Target: Zhuang
Distance: 0.0831% / 0.08312064
56.8 Dai
16.2 Miaozu
8.8 She
8.0 Han_central
5.8 Vietnamese
2.6 Lahu
1.6 Tujia
0.2 Korean

Target: Zhuang
Distance: 1.9060% / 1.90595144 | ADC: 0.25x
82.4 Vietnamese
17.6 Miaozu

Maguzanci

10-22-2020, 04:25 AM

Maguzanci

10-22-2020, 04:41 AM

Indonesians from Western part of the archipelago mainly Jakarta, other parts of Java, Sumatra (cannot find samples from Bali, Madura or Lombok). I know the ethnicities of some of the kits but uncertain about the others. That is why I decided to just label them as Western_Indonesian. N=17

Western_Indonesian_1,3.15,0,0.36,57.78,0.23,0.79,1 0.5,0,0.33,26.86,0,0
Western_Indonesian_2,3.83,0.9,0,63.42,0.15,1.63,14 .00,0.52,0.4,15.14,0,0
Western_Indonesian_3,2.3,0.66,0.18,68.59,0,1.35,16 .14,0,0,10.77,0,0
Western_Indonesian_4,4.94,0,0,56.25,0,0.09,18.84,0 .26,1.78,17.40,0,0.46
Western_Indonesian_5,5.41,0,0.6,60.35,0,1.43,16.69 ,0,0,15.14,0.38,0
Western_Indonesian_6,2.29,0,0,66.46,0.64,0,11.24,0 .19,0.44,17.13,1.10,0.51
Western_Indonesian_7,2.92,1.56,0,65.10,0,2.03,16.1 6,0,0,11.85,0.30,0.08
Western_Indonesian_8,3.82,0.85,0,61.72,0.66,3.18,1 9.48,0.53,0.91,6.67,2.16,0
Western_Indonesian_9,7.3,0,0.87,59.82,0,0.86,18.33 ,0.05,0,12.31,0.44,0
Western_Indonesian_10,4.87,0,0,59.35,0,1.00,17.98, 0.97,0.67,13.60,1.55,0
Western_Indonesian_11,5.82,0,0.32,57.67,0.36,1.76, 16.2,0.47,0,15.84,1.49,0.07
Western_Indonesian_12,4.65,0.51,0,63.33,0,0.97,16. 57,0,0.40,12.13,1.41,0
Western_Indonesian_13,4.62,0,0.09,61.79,0.09,0,15. 32,0,0.30,14.69,3.08,0
Western_Indonesian_14,5.62,0.63,0,62.60,0,1.61,20. 75,0.18,0,6.42,1.98,0.2
Western_Indonesian_15,1.12,1.48,0.63,67.62,0,0.07, 16.44,0.13,0.57,10.96,0.92,0.07
Western_Indonesian_16,2.79,0.87,0,65.73,0,0,15.72, 0.07,0.15,13.87,0.80,0
Western_Indonesian_17,1.36,0.92,0.49,71.82,0,0,13. 63,0.21,0,11.58,0,0

Average Western Indonesian: 3.93,0.49,0.21,62.90,0.12,0.99,16.12,0.22,0.35,13. 67,0.92,0.08

Distance to: Western_Indonesian
10.35946910 PANIYA
19.20949245 Lahu
20.78414299 Vietnamese
22.07255083 Malay_Singapore
23.99380337 Cambodians
26.36972886 Dai
31.17905547 Khasi
33.95818900 Burmanese
36.96647941 Garo
41.41437673 Miaozu
43.89232963 She

Almost 8% West Eurasian and around 6% Chinese-like affinity which could actually be Austronesian signal instead as there aren't Austronesian samples in this calculator.

Target: Western_Indonesian
Distance: 0.7471% / 0.74706758
63.4 Dai
23.0 Bonda
5.8 Han_central
4.6 Brahui
2.0 Iran_Mazandaran
1.2 Lithuanian

chamala

01-09-2021, 03:02 PM

So I recently became interested with east eurasian genetics and I wanted to find out how closely related southeast asian people are to each other and to chinese ethnic groups. It's hard to look for dodecad results for southeast asian people thankfully someone posted it above. I used the Vahaduo dodecad k12b calculator but tweaked the source population a bit by adding filipino since they don't have that in their reference populations. They also do not have the lao people. Here are the results.
Distance to: Burmanese
5.56596802 Garo
21.67673638 Khasi
23.76573163 Filipino
26.93631378 Han_south
27.67887281 Miaozu
27.90555500 She
29.54337828 Han_central
30.02137405 Nepali_Gurung
30.54766767 Tujia
31.51851995 Malay_Malaysia

Distance to: Vietnamese
5.47905101 Lahu
6.71490879 Zhuang
12.63882906 Dai
20.78414299 Western_Indonesian
21.53801291 Filipino
23.57280425 Malay_Malaysia
26.00493222 Malay_Singapore
28.74926086 Cambodians
28.85758133 PANIYA
33.57756692 Han_south

Distance to: Filipino3
11.16470779 Filipino
12.34458991 Zhuang
14.22133960 Vietnamese
16.32690111 Western_Indonesian
16.72287356 Lahu
17.19943022 Malay_Malaysia
24.15016563 PANIYA
25.20958746 Han_south
26.05418393 Dai
26.08832114 Miaozu

Distance to: Filipino2
0.00000000 Filipino
14.60482797 Han_south
15.52024484 Miaozu
16.38089741 Zhuang
18.13356005 She
21.53801291 Vietnamese
23.76573163 Burmanese
25.11867831 Lahu
25.84058823 Garo
26.05483065 Western_Indonesian

Distance to: Filipino
9.30701886 Zhuang
9.48358582 Filipino
12.81778452 Vietnamese
16.02453119 Lahu
19.48574351 Western_Indonesian
20.53900923 Malay_Malaysia
23.29429544 Han_south
24.14132556 Miaozu
25.11134405 Dai
26.95417593 She

Distance to: Thai
13.45731400 Malay_Malaysia
14.38029902 Western_Indonesian
14.49568212 Filipino
20.44412874 Zhuang
21.59776840 Vietnamese
22.27163218 PANIYA
22.63867487 Lahu
23.24047332 Burmanese
26.66435073 Garo
28.11741453 Han_south

Distance to: Indonesian
7.63889390 PANIYA
7.93671217 Malay_Malaysia
8.32875141 Western_Indonesian
21.31324002 Malay_Singapore
22.48280899 Cambodians
25.35158180 Lahu
27.80393318 Vietnamese
30.62808842 Khasi
31.05113041 Dai
31.48281595 Zhuang

Distance to: Indonesia
0.00000000 Western_Indonesian
3.62666513 Malay_Malaysia
10.35946910 PANIYA
19.20949245 Lahu
20.78414299 Vietnamese
22.07255083 Malay_Singapore
23.86665456 Zhuang
23.99380337 Cambodians
26.05483065 Filipino
26.36972886 Dai

Distance to: Malaysian
16.64096752 Khasi
22.49131388 Malay_Malaysia
25.79509062 Western_Indonesian
26.43805401 Burmanese
26.64812751 PANIYA
30.07295629 Garo
35.30230162 Filipino
39.15919815 Nepali_Newar_Shrestha
41.33285739 Nepali_Khas_Kshatriya
42.45695114 Lahu

Distance to: Malay_Singapore
2.87167199 Cambodians
19.89176965 Dai
21.62795645 Lahu
22.07255083 Western_Indonesian
22.35823115 PANIYA
24.95915063 Malay_Malaysia
26.00493222 Vietnamese
32.48156246 Zhuang
43.19319275 Filipino
50.86614198 Khasi

Distance to: Malay_Malaysia
3.62666513 Western_Indonesian
9.84586715 PANIYA
22.19475388 Lahu
23.57280425 Vietnamese
24.95915063 Malay_Singapore
26.00677412 Zhuang
26.09620087 Filipino
26.74066379 Cambodians
27.82123649 Khasi
29.76916358 Dai

Distance to: Cambodians
2.87167199 Malay_Singapore
22.33338308 Dai
23.35551327 PANIYA
23.99380337 Western_Indonesian
24.41966421 Lahu
26.74066379 Malay_Malaysia
28.74926086 Vietnamese
35.23458528 Zhuang
45.79021730 Filipino
51.99133485 Khasi

Cambodians, Indonesian, malays from Singapore and Malaysia seem to form a very tight cluster. They all have high south Asian admixture and they all seem to be somewhat close to Paniya which is an ethnic group in India. All these group also have high Austroasiatic component in some studies. Interestingly, the only Thai sample that I found was closer to Malays than to dai/Zhuang/Vietnamese people probably because of the relatively high south Asian component.

The Filipino and Vietnamese people seem to be more pure east asians relative to the other groups. All three filipino samples score very low south asian component. It looks like Fiipinos are closer to southern china ethnic minorities (such as the Zhuang) and Vietnamese than they are to their Austronesian cousins Indonesians and Malaysians. It would be more interesting if there are taiwanese aborigines dodecad result

Out of all these samples, Vietnamese seem to be the closest to Chinese ethnic minority groups such as Lahu and Zhuang. They are closer to these people than Filipinos are and they also have very low south asian component. Vietnamese are Austroasiatic speakers however they do not seem to be very close to Cambodians.

Burmese are closer to another tibeto-burman speaking group than they are to any southeast asian group.

It would be nice to have more thai samples preferably coming from the central and northern part. I think this sample is from the southern area since the result is closer to that of a Cambodian/malay. I expected Filipinos to be somewhat closer to Indonesians/malays but it looks like they only share the language but not much on the genetics part.

I also do not have Laos people dodecad result. It would be nice to compare them to other southeast Asians.
I also have some southeast asian harappaworld results that I run in the vahaduo calculator but I did not post it here since this is for dodecad but I can post them if anyone is interested.

chamala

01-09-2021, 03:18 PM

I also run the Chinese dodecad results posted above
Distance to: Zhuang_Average
6.71490879 Vietnamese
11.46943765 Lahu
16.38089741 Filipino
18.65609820 Dai
23.86665456 Western_Indonesian
26.00677412 Malay_Malaysia
27.22663769 Han_south
27.87877329 Miaozu
30.84817661 She
32.38422455 PANIYA

Distance to: Zhuang4
4.58506270 Zhuang
11.06051536 Vietnamese
12.44118965 Filipino
15.49073917 Lahu
22.69250978 Han_south
23.21070874 Dai
23.35767540 Miaozu
25.25557364 Western_Indonesian
26.32491216 She
26.88473731 Malay_Malaysia

Distance to: Zhuang3
0.55569776 Zhuang
7.04258475 Vietnamese
11.82818667 Lahu
15.89462802 Filipino
19.09738202 Dai
23.76744412 Western_Indonesian
25.86396528 Malay_Malaysia
26.78994961 Han_south
27.44474449 Miaozu
30.41371401 She

Distance to: Zhuang2
0.76498366 Zhuang
6.27442428 Vietnamese
11.09722488 Lahu
17.06482933 Filipino
18.03464444 Dai
24.01153473 Western_Indonesian
26.22192785 Malay_Malaysia
27.85500673 Han_south
28.49856839 Miaozu
31.46821253 She

Distance to: Zhuang1
3.14580673 Vietnamese
4.37937210 Zhuang
7.99600525 Lahu
14.28552064 Dai
20.39703655 Filipino
23.22719311 Western_Indonesian
25.81555732 Malay_Malaysia
29.00297571 Malay_Singapore
31.54108590 PANIYA
31.59868826 Han_south

Distance to: Han_south_Average
1.04737768 Miaozu
3.71227693 She
12.65254125 Han_central
12.98017719 Tujia
14.60482797 Filipino
26.93631378 Burmanese
27.22663769 Zhuang
27.44079080 Garo
27.77040691 Yizu
27.79419004 Naxi

Distance to: Guangxi
3.41969297 Han_south
4.05915016 Miaozu
7.01688677 She
12.06510257 Filipino
16.03676713 Han_central
16.34125760 Tujia
23.84694320 Zhuang
27.59338145 Burmanese
28.41152407 Garo
30.23899304 Vietnamese
42.49937294 Dai
43.84766014 Tibetan
44.59129399 Naga
45.55979258 PANIYA
45.97668540 Khasi

Distance to: Yulin
6.77237034 Filipino
13.08697062 Han_south
13.78250340 Miaozu
14.18716321 Zhuang
16.74089006 She
20.50632585 Vietnamese
24.78817057 Lahu
25.71937402 Han_central
26.05565965 Tujia
29.51178409 Burmanese

Distance to: Fujian3
3.80956690 She
5.42715395 Han_central
5.62785927 Tujia
6.75224407 Miaozu
7.39089981 Han_south
20.83351387 Yizu
20.90580781 Naxi
21.41440637 Filipino
22.53822974 Dungan
24.51931076 Han_north

Distance to: Fujian2
0.48989795 She
3.40293991 Miaozu
4.09646189 Han_south
8.70340163 Han_central
8.91291198 Tujia
18.41982627 Filipino
24.03036621 Yizu
24.08526521 Naxi
25.44658327 Dungan
27.73157046 Burmanese

Distance to: Fujian1
0.62096699 Han_central
2.11844282 Tujia
9.00265516 She
11.91418482 Miaozu
12.46237538 Han_south
15.57678722 Yizu
15.64269158 Naxi
17.83129833 Dungan
19.22944097 Han_north
25.73922882 Nepali_Kirant_Rai

Distance to: Guangdong2
4.76737873 Han_south
5.38078990 Miaozu
8.34822736 She
11.07995939 Filipino
17.40132466 Han_central
17.67973133 Tujia
22.50218434 Zhuang
27.82320794 Burmanese
28.73160107 Garo
28.89177911 Vietnamese

Distance to: Guangdong1
1.51410039 Han_central
2.35874967 Tujia
7.81048654 She
10.73236693 Miaozu
11.30083625 Han_south
16.83009804 Yizu
16.90194368 Naxi
18.86799671 Dungan
20.46239722 Han_north
24.94773938 Filipino

Distance to: Cantonese4
5.17647564 Han_south
5.82468025 Miaozu
8.78560755 She
10.64886379 Filipino
17.82178723 Han_central
18.11040861 Tujia
22.07911909 Zhuang
27.70972573 Burmanese
28.45390834 Vietnamese
28.65754525 Garo

Distance to: Cantonese3
8.20655835 Filipino
8.69511357 Han_south
9.37136063 Miaozu
12.33216931 She
18.54625569 Zhuang
21.33933457 Han_central
21.65369253 Tujia
24.90434500 Vietnamese
28.25084777 Burmanese
29.16563732 Lahu

Distance to: Cantonese2
5.52484389 Han_south
6.18084946 Miaozu
9.14127453 She
10.30875841 Filipino
18.17118873 Han_central
18.46518075 Tujia
21.72411793 Zhuang
27.65485310 Burmanese
28.08940904 Vietnamese
28.63240996 Garo

Distance to: Cantonese1
6.09135453 Han_south
6.75008148 Miaozu
9.70997425 She
9.89438224 Filipino
18.73715026 Han_central
19.03269818 Tujia
21.15921549 Zhuang
27.52031250 Vietnamese
27.72074314 Burmanese
28.74347926 Garo

Zhuang people still closest to Vietnamese people. Southern Han (average) is closest to hmong-mien speakers. The single Yulin sample is most likely admixed with Austronesian since its closest population is Filipino. Another Cantonese sample seems to be mixed with Austronesian.