Information on the East Asian - Sino-Tibetan - Tibeto-Burman Metapopulation

The Tibeto-Burman Metapopulation (East Asian - Sino-Tibetan - Tibeto-Burman) consists of 10576 haplotypes (at least minimal) and 47 unique population samples.

Most common haplotypes

Count	DYS19	DYS389I	DYS389II	DYS390	DYS391	DYS392	DYS393	DYS385
217	15	14	30	25	10	7	13	11,11
143	14	12	28	23	10	14	12	13,19
112	14	12	28	23	10	14	12	13,18
107	15	13	29	25	10	7	13	11,11
105	15	14	30	25	10	7	13	11,14
84	15	14	30	26	10	7	13	11,11
71	15	12	28	23	10	14	12	13,17
70	15	13	29	23	10	11	15	11,18
63	15	13	30	23	10	11	15	11,11
58	14	12	28	23	10	14	12	13,20

Count	DYS391	DYS389I	DYS439	DYS389II	DYS438	DYS437	DYS19	DYS392	DYS393	DYS390	DYS385
157	10	14	12	30	11	14	15	7	13	25	11,11
88	10	14	11	30	11	14	15	7	13	25	11,14
77	10	13	12	29	11	14	15	7	13	25	11,11
68	10	14	12	30	11	14	15	7	13	26	11,11
66	10	13	11	29	10	14	15	11	15	23	11,18
51	10	13	11	30	10	14	15	11	15	23	11,11
41	10	12	11	29	10	14	15	10	12	27	17,17
38	10	13	12	30	11	14	15	7	13	24	11,14
37	10	13	10	30	10	14	15	11	12	24	14,18
36	10	12	12	28	11	15	14	14	12	23	13,19

Count	DYS456	DYS389I	DYS390	DYS389II	DYS458	DYS19	DYS385	DYS393	DYS391	DYS439	DYS635	DYS392	YGATAH4	DYS437	DYS438	DYS448
42	16	14	26	30	16	15	11,11	13	10	12	21	7	10	14	11	19
32	16	14	25	30	17	15	11,14	13	10	11	21	7	11	14	11	19
30	16	14	25	30	16	15	11,11	13	10	12	21	7	11	14	11	19
28	15	13	23	29	17	15	11,18	15	10	11	21	11	12	14	10	21
23	15	13	24	30	16	15	11,14	13	10	12	21	7	11	14	11	19
23	16	13	25	29	16	15	11,11	13	10	12	21	7	11	14	11	19
20	15	13	23	29	16	14	13,13	13	10	12	19	14	12	14	10	18
18	15	14	25	30	16	15	11,11	13	10	12	21	7	11	14	11	19
18	16	14	25	30	16	16	11,11	13	10	12	21	7	11	14	11	19
15	15	13	23	30	15	15	11,11	15	10	11	21	11	11	14	10	21

Count	DYS576	DYS389I	DYS448	DYS389II	DYS19	DYS391	DYS481	DYS549	DYS533	DYS438	DYS437	DYS570	DYS635	DYS390	DYS439	DYS392	DYS643	DYS393	DYS458	DYS385	DYS456	YGATAH4
6	17	13	19	30	15	10	27	12	12	11	14	19	21	24	12	7	11	13	16	11,14	15	11
5	18	13	17	30	15	10	27	13	11	10	14	18	21	24	10	11	10	12	17	14,18	15	11
5	19	14	19	30	15	10	25	13	12	11	14	19	21	24	12	7	11	12	16	11,11	15	11
4	16	12	19	28	15	10	30	13	11	10	14	21	20	24	11	10	9	12	21	16,17	14	11
4	16	13	18	29	14	10	24	12	11	10	14	19	19	23	12	14	11	13	16	13,13	15	12
4	16	13	18	29	14	10	24	12	11	10	14	20	19	23	12	14	11	13	17	13,13	15	12
4	17	12	20	28	14	10	23	12	12	11	15	19	20	23	12	14	12	12	18	14,19	15	12
4	18	13	20	29	16	10	23	12	12	11	14	19	23	25	10	12	10	13	16	11,14	15	11
4	19	13	17	30	16	10	28	12	11	10	14	17	21	23	10	11	10	12	18	14,18	15	11
3	14	13	20	29	16	10	25	12	12	10	14	16	20	23	10	11	9	14	17	11,20	16	11

Count	DYS576	DYS389I	DYS635	DYS389II	DYS627	DYS460	DYS458	DYS19	YGATAH4	DYS448	DYS391	DYS456	DYS390	DYS438	DYS392	DYS518	DYS570	DYS437	DYS385	DYS449	DYS393	DYS439	DYS481	DYF387S1	DYS533
3	16	13	20	30	18	11	21	15	11	19	10	14	24	10	10	36	20	14	16,16	32	12	11	29	38,38	12
3	16	13	20	30	19	11	21	15	11	19	11	14	24	10	10	36	20	14	16,16	32	12	11	29	38,38	12
3	17	12	22	27	22	10	17	17	11	17	11	15	24	10	13	42	18	14	13,18	26	14	12	23	37,39	10
3	18	12	22	28	21	10	19	14	12	20	11	15	24	11	13	33	18	15	13,20	35	12	12	24	35,38	11
3	18	13	20	30	20	10	16	15	11	20	10	14	19	11	7	38	20	14	11,11	28	14	12	21	35,37	12
3	18	13	21	29	21	10	19	15	12	17	10	15	24	10	11	41	17	14	14,18	29	12	10	25	36,36	11
3	18	14	20	30	19	10	16	15	11	20	11	16	23	11	8	37.1	18	16	11,11	27	13	11	23	37,38	11
3	18	14	21	30	19	11	16	15	10	19	10	15	26	11	7	37	19	14	11,11	31	13	12	25	37,38	11
3	19	14	21	30	19	11	16	16	11	19	10	15	25	11	7	37	20	14	11,11	31	12	13	25	37,38	12
3	19	14	21	30	20	11	16	15	11	19	10	15	24	11	7	38	19	14	11,11	30	12	12	25	37,38	12

Count	DYS19	DYS389I	DYS389II	DYS390	DYS391	DYS392	DYS393	DYS385	DYS438	DYS439	DYS437	DYS448	DYS456	DYS458	DYS635	YGATAH4	DYS481	DYS533	DYS549	DYS570	DYS576	DYS643	DYF387S1	DYS449	DYS460	DYS518	DYS627
3	15	13	30	24	10	10	12	16,16	10	11	14	19	14	21	20	11	29	12	11	20	16	9	38,38	32	11	36	18
3	15	13	30	24	11	10	12	16,16	10	11	14	19	14	21	20	11	29	12	11	20	16	9	38,38	32	11	36	19
3	15	14	30	24	10	7	12	11,11	11	12	14	19	15	16	21	11	25	12	13	19	19	11	37,38	30	11	38	20
3	16	14	30	25	10	7	12	11,11	11	13	14	19	15	16	21	11	25	12	13	20	19	11	37,38	31	11	37	19
3	17	12	27	24	11	13	14	13,18	10	12	14	17	15	17	22	11	23	10	11	18	17	12	37,39	26	10	42	22
2	12	14	30	23	10	15	13	13,14	10	11	14	19	15	17	22	11	22	13	12	17	19	12	37,37	27	11	37	21
2	13	13	30	24	10	11	12	14,18	10	10	14	17	15	17	21	11	27	11	13	18	19	10	36,36	28	10	41	21
2	13	14	30	24	10	14	13	15,23	12	11	14	19	17	17	22	10	24	12	12	20	20	10	38,38	30	10	38.2	21
2	14	12	28	23	10	14	12	12.2,20	11	11	15	20	15	17	20	14	23	11	12	21	20	13	35,38	33	9	35	18
2	14	12	28	24	10	14	12	13,18	11	12	14	20	15	18	21	12	23	11	12	18	16	11	34,39	32	9	35	20

Population samples

Population Sample	Minimal	PowerPlex Y	Yfiler	PowerPlex Y23	Yfiler Plus	Maximal
Bhutan [Bhutanese]	856 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Lhasa, China [Tibetan]	2135 Haplotypes	2016 Haplotypes	2016 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Nepal [Nepalese]	768 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Yunnan, China [Yi]	166 Haplotypes	66 Haplotypes	66 Haplotypes	0 Haplotypes	66 Haplotypes	0 Haplotypes
Qinghai, China [Tibetan]	693 Haplotypes	691 Haplotypes	687 Haplotypes	0 Haplotypes	511 Haplotypes	0 Haplotypes
Tripura, India [Riang]	67 Haplotypes	67 Haplotypes	67 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Tripura, India [Tripuri]	65 Haplotypes	65 Haplotypes	65 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
West Bengal, India [Dhimal]	33 Haplotypes	33 Haplotypes	33 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Nepal [Tamang]	45 Haplotypes	45 Haplotypes	45 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Nepal [Newar]	66 Haplotypes	66 Haplotypes	66 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Nepalese]	77 Haplotypes	77 Haplotypes	77 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
West Bengal, India [Rabha]	22 Haplotypes	22 Haplotypes	22 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
French Guiana [Hmong]	33 Haplotypes	33 Haplotypes	33 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Amdo, China [Tibetan]	88 Haplotypes	88 Haplotypes	88 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kham, China [Tibetan]	109 Haplotypes	109 Haplotypes	109 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
U-Tsang, China [Tibetan]	153 Haplotypes	153 Haplotypes	153 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Youyang Chongqing, China [Tujia]	197 Haplotypes	197 Haplotypes	197 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Tangail, Bangladesh [Garo]	120 Haplotypes	120 Haplotypes	120 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Yunnan, China [Bai]	101 Haplotypes	101 Haplotypes	101 Haplotypes	101 Haplotypes	0 Haplotypes	0 Haplotypes
Tibet, China [Tibetan]	348 Haplotypes	348 Haplotypes	348 Haplotypes	248 Haplotypes	0 Haplotypes	0 Haplotypes
Ladakh, India [Ladakhi]	292 Haplotypes	292 Haplotypes	292 Haplotypes	69 Haplotypes	0 Haplotypes	0 Haplotypes
Assam,India [Kachari]	11 Haplotypes	11 Haplotypes	11 Haplotypes	9 Haplotypes	8 Haplotypes	6 Haplotypes
Hunan, China [Tujia]	723 Haplotypes	723 Haplotypes	723 Haplotypes	633 Haplotypes	633 Haplotypes	633 Haplotypes
Kathmandu, Nepal [Bahun]	13 Haplotypes	13 Haplotypes	13 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Chaudary]	17 Haplotypes	17 Haplotypes	17 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Gurung]	11 Haplotypes	11 Haplotypes	11 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Magar]	11 Haplotypes	11 Haplotypes	11 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Newar]	23 Haplotypes	23 Haplotypes	23 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Rai]	8 Haplotypes	8 Haplotypes	8 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Sherpa]	12 Haplotypes	12 Haplotypes	12 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Kathmandu, Nepal [Tamang]	28 Haplotypes	28 Haplotypes	28 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Sylhet, Bangladesh [Manipuri]	29 Haplotypes	29 Haplotypes	29 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Yunnan, China [Hani]	250 Haplotypes	250 Haplotypes	250 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Liangshan_Sichuan, China [Yi]	311 Haplotypes	311 Haplotypes	311 Haplotypes	311 Haplotypes	0 Haplotypes	0 Haplotypes
Netrokona, Bangladesh [Hajong]	89 Haplotypes	89 Haplotypes	89 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Cox's Bazar, Bangladesh [Rakhine]	110 Haplotypes	110 Haplotypes	110 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Bandarban, Bangladesh [Marma]	107 Haplotypes	107 Haplotypes	107 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Hubei, China [Tujia]	391 Haplotypes	391 Haplotypes	391 Haplotypes	0 Haplotypes	391 Haplotypes	0 Haplotypes
Khagrachari, Bangladesh [Chakma]	116 Haplotypes	116 Haplotypes	116 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Khagrachari, Bangladesh [Tripura]	99 Haplotypes	99 Haplotypes	99 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Nujiang, China [Lisu]	27 Haplotypes	27 Haplotypes	27 Haplotypes	0 Haplotypes	0 Haplotypes	0 Haplotypes
Guizhou, China [Yi]	217 Haplotypes	217 Haplotypes	217 Haplotypes	0 Haplotypes	217 Haplotypes	0 Haplotypes
Sichuan, China [Yi]	227 Haplotypes	227 Haplotypes	227 Haplotypes	0 Haplotypes	227 Haplotypes	0 Haplotypes
Sichuan, China [Tibetan]	502 Haplotypes	502 Haplotypes	500 Haplotypes	500 Haplotypes	500 Haplotypes	500 Haplotypes
Chamdo, China [Kham Tibetan]	172 Haplotypes	172 Haplotypes	172 Haplotypes	0 Haplotypes	172 Haplotypes	0 Haplotypes
Shigatse, China [U-Tsang Tibetan]	230 Haplotypes	230 Haplotypes	230 Haplotypes	0 Haplotypes	230 Haplotypes	0 Haplotypes
Guiyang_Guizhou, China [Yi]	408 Haplotypes	408 Haplotypes	408 Haplotypes	408 Haplotypes	408 Haplotypes	408 Haplotypes
(Overall)	10576 Haplotypes	8731 Haplotypes	8725 Haplotypes	2279 Haplotypes	3363 Haplotypes	1547 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release: R61
Loci included: DYS19, DYS389I, DYS389II^*, DYS390, DYS391, DYS392, DYS393
Central haplotypes: 41
EM converged: true
EM iterations: 52
GLM method: internal_coef
Init method: pam
Per locus details: DL centers distribution (download PDF)

Table of haplotype centers (click to show/hide)

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393
1	14	13	16	24	10	11	12
2	15	12	17	25	10	13	12
3	13	14	16	24	9	14	14
4	13	13	16	23	10	11	14
5	14	12	15	23	10	14	12
6	14	12	16	23	10	14	12
7	14	12	16	24	10	14	12
8	15	12	17	23	10	12	12
9	14	12	17	23	10	14	12
10	14	12	17	24	10	14	12
11	14	12	15	24	10	14	12
12	15	13	16	23	10	14	12
13	14	13	16	24	10	11	13
14	14	14	16	24	10	14	13
15	14	13	17	23	11	14	13
16	15	13	17	24	10	11	12
17	14	14	16	23	10	10	14
18	15	14	16	23	10	11	12
19	14	14	16	23	10	14	13
20	14	12	16	24	11	13	12
21	15	14	16	25	10	11	13
22	15	12	16	23	10	14	12
23	15	12	16	24	10	10	12
24	15	12	16	23	10	12	12
25	15	12	17	25	10	10	13
26	15	12	17	23	11	14	13
27	15	12	17	27	10	10	12
28	15	13	16	23	10	11	15
29	15	13	17	24	10	13	14
30	15	13	16	25	11	13	14
31	16	13	18	25	11	11	13
32	16	14	17	24	11	7	11
33	15	14	16	23	10	7	13
34	15	14	16	25	10	7	13
35	15	13	17	24	10	7	13
36	15	13	17	23	10	11	15
37	15	13	16	25	10	7	13
38	16	12	16	24	10	13	12
39	15	13	16	23	10	11	14
40	17	12	16	24	10	13	12
41	15	14	16	26	10	7	13

Discrete-Laplace frequency estimation (Yfiler)

Release: R61
Loci included: DYS19, DYS389I, DYS389II^*, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, YGATAH4
Central haplotypes: 32
EM converged: true
EM iterations: 77
GLM method: internal_coef
Init method: pam
Per locus details: DL centers distribution (download PDF)

Table of haplotype centers (click to show/hide)

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393	DYS437	DYS438	DYS439	DYS448	DYS456	DYS458	DYS635	YGATAH4
1	16	12	16	25	10	13	12	14	10	12	19	14	18	21	12
2	15	12	17	24	10	13	12	15	9	11	19	15	15	20	13
3	15	12	16	24	10	10	12	14	10	11	19	14	20	20	11
4	15	13	17	24	10	7	13	14	11	12	19	15	16	21	11
5	14	13	16	24	10	11	12	14	10	10	17	15	18	21	11
6	15	14	16	23	10	7	13	14	11	12	18	16	17	21	11
7	14	13	16	23	10	10	14	16	11	11	19	15	17	25	12
8	15	13	17	23	10	11	15	14	10	11	21	15	15	21	11
9	14	12	16	24	10	14	12	15	11	12	20	15	18	21	12
10	14	12	16	23	10	14	12	15	11	12	20	15	17	20	12
11	15	12	16	23	10	12	12	15	10	12	19	15	17	19	12
12	15	12	16	23	10	14	12	15	11	13	20	15	18	21	12
13	17	12	16	24	10	13	12	15	10	11	20	15	18	22	12
14	14	12	16	23	10	14	12	15	11	12	20	15	19	20	12
15	15	12	17	23	10	14	13	14	10	11	18	17	15	19	12
16	15	12	17	27	10	10	12	14	10	11	19	15	21	20	11
17	15	13	16	23	10	11	14	14	10	11	21	15	17	21	11
18	13	13	16	23	10	11	14	14	10	12	20	16	18	23	11
19	15	13	16	23	10	13	14	14	10	11	18	15	18	23	10
20	15	13	16	23	10	13	12	15	10	12	19	15	17	21	11
21	15	13	17	24	10	11	12	14	10	10	17	15	17	21	11
22	15	14	16	25	10	7	13	14	11	12	19	15	16	21	11
23	16	13	18	25	10	11	13	14	11	10	20	15	16	23	13
24	14	14	17	23	11	14	13	14	11	11	19	15	16	22	12
25	15	14	16	25	10	7	13	14	11	11	19	16	17	22	11
26	15	13	16	24	10	13	14	14	10	12	18	15	16	21	11
27	13	13	16	24	10	14	13	13	11	13	19	15	16	22	11
28	15	14	16	25	10	7	13	14	11	12	19	16	16	21	11
29	13	14	16	24	9	14	14	14	12	11	19	16	17	22	10
30	15	13	16	25	11	13	14	14	10	12	18	15	17	22	11
31	14	13	16	23	10	14	13	14	10	12	18	15	16	20	12
32	14	14	16	24	10	14	13	14	11	11	19	16	15	24	12

^* Please note that DYS389I was substracted from DYS389II

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393
1	14	13	16	24	10	11	12
2	15	12	17	25	10	13	12
3	13	14	16	24	9	14	14
4	13	13	16	23	10	11	14
5	14	12	15	23	10	14	12
6	14	12	16	23	10	14	12
7	14	12	16	24	10	14	12
8	15	12	17	23	10	12	12
9	14	12	17	23	10	14	12
10	14	12	17	24	10	14	12
11	14	12	15	24	10	14	12
12	15	13	16	23	10	14	12
13	14	13	16	24	10	11	13
14	14	14	16	24	10	14	13
15	14	13	17	23	11	14	13
16	15	13	17	24	10	11	12
17	14	14	16	23	10	10	14
18	15	14	16	23	10	11	12
19	14	14	16	23	10	14	13
20	14	12	16	24	11	13	12
21	15	14	16	25	10	11	13
22	15	12	16	23	10	14	12
23	15	12	16	24	10	10	12
24	15	12	16	23	10	12	12
25	15	12	17	25	10	10	13
26	15	12	17	23	11	14	13
27	15	12	17	27	10	10	12
28	15	13	16	23	10	11	15
29	15	13	17	24	10	13	14
30	15	13	16	25	11	13	14
31	16	13	18	25	11	11	13
32	16	14	17	24	11	7	11
33	15	14	16	23	10	7	13
34	15	14	16	25	10	7	13
35	15	13	17	24	10	7	13
36	15	13	17	23	10	11	15
37	15	13	16	25	10	7	13
38	16	12	16	24	10	13	12
39	15	13	16	23	10	11	14
40	17	12	16	24	10	13	12
41	15	14	16	26	10	7	13

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393	DYS437	DYS438	DYS439	DYS448	DYS456	DYS458	DYS635	YGATAH4
1	16	12	16	25	10	13	12	14	10	12	19	14	18	21	12
2	15	12	17	24	10	13	12	15	9	11	19	15	15	20	13
3	15	12	16	24	10	10	12	14	10	11	19	14	20	20	11
4	15	13	17	24	10	7	13	14	11	12	19	15	16	21	11
5	14	13	16	24	10	11	12	14	10	10	17	15	18	21	11
6	15	14	16	23	10	7	13	14	11	12	18	16	17	21	11
7	14	13	16	23	10	10	14	16	11	11	19	15	17	25	12
8	15	13	17	23	10	11	15	14	10	11	21	15	15	21	11
9	14	12	16	24	10	14	12	15	11	12	20	15	18	21	12
10	14	12	16	23	10	14	12	15	11	12	20	15	17	20	12
11	15	12	16	23	10	12	12	15	10	12	19	15	17	19	12
12	15	12	16	23	10	14	12	15	11	13	20	15	18	21	12
13	17	12	16	24	10	13	12	15	10	11	20	15	18	22	12
14	14	12	16	23	10	14	12	15	11	12	20	15	19	20	12
15	15	12	17	23	10	14	13	14	10	11	18	17	15	19	12
16	15	12	17	27	10	10	12	14	10	11	19	15	21	20	11
17	15	13	16	23	10	11	14	14	10	11	21	15	17	21	11
18	13	13	16	23	10	11	14	14	10	12	20	16	18	23	11
19	15	13	16	23	10	13	14	14	10	11	18	15	18	23	10
20	15	13	16	23	10	13	12	15	10	12	19	15	17	21	11
21	15	13	17	24	10	11	12	14	10	10	17	15	17	21	11
22	15	14	16	25	10	7	13	14	11	12	19	15	16	21	11
23	16	13	18	25	10	11	13	14	11	10	20	15	16	23	13
24	14	14	17	23	11	14	13	14	11	11	19	15	16	22	12
25	15	14	16	25	10	7	13	14	11	11	19	16	17	22	11
26	15	13	16	24	10	13	14	14	10	12	18	15	16	21	11
27	13	13	16	24	10	14	13	13	11	13	19	15	16	22	11
28	15	14	16	25	10	7	13	14	11	12	19	16	16	21	11
29	13	14	16	24	9	14	14	14	12	11	19	16	17	22	10
30	15	13	16	25	11	13	14	14	10	12	18	15	17	22	11
31	14	13	16	23	10	14	13	14	10	12	18	15	16	20	12
32	14	14	16	24	10	14	13	14	11	11	19	16	15	24	12

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393
1	14	13	16	24	10	11	12
2	15	12	17	25	10	13	12
3	13	14	16	24	9	14	14
4	13	13	16	23	10	11	14
5	14	12	15	23	10	14	12
6	14	12	16	23	10	14	12
7	14	12	16	24	10	14	12
8	15	12	17	23	10	12	12
9	14	12	17	23	10	14	12
10	14	12	17	24	10	14	12
11	14	12	15	24	10	14	12
12	15	13	16	23	10	14	12
13	14	13	16	24	10	11	13
14	14	14	16	24	10	14	13
15	14	13	17	23	11	14	13
16	15	13	17	24	10	11	12
17	14	14	16	23	10	10	14
18	15	14	16	23	10	11	12
19	14	14	16	23	10	14	13
20	14	12	16	24	11	13	12
21	15	14	16	25	10	11	13
22	15	12	16	23	10	14	12
23	15	12	16	24	10	10	12
24	15	12	16	23	10	12	12
25	15	12	17	25	10	10	13
26	15	12	17	23	11	14	13
27	15	12	17	27	10	10	12
28	15	13	16	23	10	11	15
29	15	13	17	24	10	13	14
30	15	13	16	25	11	13	14
31	16	13	18	25	11	11	13
32	16	14	17	24	11	7	11
33	15	14	16	23	10	7	13
34	15	14	16	25	10	7	13
35	15	13	17	24	10	7	13
36	15	13	17	23	10	11	15
37	15	13	16	25	10	7	13
38	16	12	16	24	10	13	12
39	15	13	16	23	10	11	14
40	17	12	16	24	10	13	12
41	15	14	16	26	10	7	13

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393	DYS437	DYS438	DYS439	DYS448	DYS456	DYS458	DYS635	YGATAH4
1	16	12	16	25	10	13	12	14	10	12	19	14	18	21	12
2	15	12	17	24	10	13	12	15	9	11	19	15	15	20	13
3	15	12	16	24	10	10	12	14	10	11	19	14	20	20	11
4	15	13	17	24	10	7	13	14	11	12	19	15	16	21	11
5	14	13	16	24	10	11	12	14	10	10	17	15	18	21	11
6	15	14	16	23	10	7	13	14	11	12	18	16	17	21	11
7	14	13	16	23	10	10	14	16	11	11	19	15	17	25	12
8	15	13	17	23	10	11	15	14	10	11	21	15	15	21	11
9	14	12	16	24	10	14	12	15	11	12	20	15	18	21	12
10	14	12	16	23	10	14	12	15	11	12	20	15	17	20	12
11	15	12	16	23	10	12	12	15	10	12	19	15	17	19	12
12	15	12	16	23	10	14	12	15	11	13	20	15	18	21	12
13	17	12	16	24	10	13	12	15	10	11	20	15	18	22	12
14	14	12	16	23	10	14	12	15	11	12	20	15	19	20	12
15	15	12	17	23	10	14	13	14	10	11	18	17	15	19	12
16	15	12	17	27	10	10	12	14	10	11	19	15	21	20	11
17	15	13	16	23	10	11	14	14	10	11	21	15	17	21	11
18	13	13	16	23	10	11	14	14	10	12	20	16	18	23	11
19	15	13	16	23	10	13	14	14	10	11	18	15	18	23	10
20	15	13	16	23	10	13	12	15	10	12	19	15	17	21	11
21	15	13	17	24	10	11	12	14	10	10	17	15	17	21	11
22	15	14	16	25	10	7	13	14	11	12	19	15	16	21	11
23	16	13	18	25	10	11	13	14	11	10	20	15	16	23	13
24	14	14	17	23	11	14	13	14	11	11	19	15	16	22	12
25	15	14	16	25	10	7	13	14	11	11	19	16	17	22	11
26	15	13	16	24	10	13	14	14	10	12	18	15	16	21	11
27	13	13	16	24	10	14	13	13	11	13	19	15	16	22	11
28	15	14	16	25	10	7	13	14	11	12	19	16	16	21	11
29	13	14	16	24	9	14	14	14	12	11	19	16	17	22	10
30	15	13	16	25	11	13	14	14	10	12	18	15	17	22	11
31	14	13	16	23	10	14	13	14	10	12	18	15	16	20	12
32	14	14	16	24	10	14	13	14	11	11	19	16	15	24	12

Information on the East Asian - Sino-Tibetan - Tibeto-Burman Metapopulation

Metapopulation substrcuture

Most common haplotypes

Population samples

Discrete-Laplace frequency estimation (Minimal)

Discrete-Laplace frequency estimation (Yfiler)

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393
1	14	13	16	24	10	11	12
2	15	12	17	25	10	13	12
3	13	14	16	24	9	14	14
4	13	13	16	23	10	11	14
5	14	12	15	23	10	14	12
6	14	12	16	23	10	14	12
7	14	12	16	24	10	14	12
8	15	12	17	23	10	12	12
9	14	12	17	23	10	14	12
10	14	12	17	24	10	14	12
11	14	12	15	24	10	14	12
12	15	13	16	23	10	14	12
13	14	13	16	24	10	11	13
14	14	14	16	24	10	14	13
15	14	13	17	23	11	14	13
16	15	13	17	24	10	11	12
17	14	14	16	23	10	10	14
18	15	14	16	23	10	11	12
19	14	14	16	23	10	14	13
20	14	12	16	24	11	13	12
21	15	14	16	25	10	11	13
22	15	12	16	23	10	14	12
23	15	12	16	24	10	10	12
24	15	12	16	23	10	12	12
25	15	12	17	25	10	10	13
26	15	12	17	23	11	14	13
27	15	12	17	27	10	10	12
28	15	13	16	23	10	11	15
29	15	13	17	24	10	13	14
30	15	13	16	25	11	13	14
31	16	13	18	25	11	11	13
32	16	14	17	24	11	7	11
33	15	14	16	23	10	7	13
34	15	14	16	25	10	7	13
35	15	13	17	24	10	7	13
36	15	13	17	23	10	11	15
37	15	13	16	25	10	7	13
38	16	12	16	24	10	13	12
39	15	13	16	23	10	11	14
40	17	12	16	24	10	13	12
41	15	14	16	26	10	7	13

	DYS19	DYS389I	DYS389II^*	DYS390	DYS391	DYS392	DYS393	DYS437	DYS438	DYS439	DYS448	DYS456	DYS458	DYS635	YGATAH4
1	16	12	16	25	10	13	12	14	10	12	19	14	18	21	12
2	15	12	17	24	10	13	12	15	9	11	19	15	15	20	13
3	15	12	16	24	10	10	12	14	10	11	19	14	20	20	11
4	15	13	17	24	10	7	13	14	11	12	19	15	16	21	11
5	14	13	16	24	10	11	12	14	10	10	17	15	18	21	11
6	15	14	16	23	10	7	13	14	11	12	18	16	17	21	11
7	14	13	16	23	10	10	14	16	11	11	19	15	17	25	12
8	15	13	17	23	10	11	15	14	10	11	21	15	15	21	11
9	14	12	16	24	10	14	12	15	11	12	20	15	18	21	12
10	14	12	16	23	10	14	12	15	11	12	20	15	17	20	12
11	15	12	16	23	10	12	12	15	10	12	19	15	17	19	12
12	15	12	16	23	10	14	12	15	11	13	20	15	18	21	12
13	17	12	16	24	10	13	12	15	10	11	20	15	18	22	12
14	14	12	16	23	10	14	12	15	11	12	20	15	19	20	12
15	15	12	17	23	10	14	13	14	10	11	18	17	15	19	12
16	15	12	17	27	10	10	12	14	10	11	19	15	21	20	11
17	15	13	16	23	10	11	14	14	10	11	21	15	17	21	11
18	13	13	16	23	10	11	14	14	10	12	20	16	18	23	11
19	15	13	16	23	10	13	14	14	10	11	18	15	18	23	10
20	15	13	16	23	10	13	12	15	10	12	19	15	17	21	11
21	15	13	17	24	10	11	12	14	10	10	17	15	17	21	11
22	15	14	16	25	10	7	13	14	11	12	19	15	16	21	11
23	16	13	18	25	10	11	13	14	11	10	20	15	16	23	13
24	14	14	17	23	11	14	13	14	11	11	19	15	16	22	12
25	15	14	16	25	10	7	13	14	11	11	19	16	17	22	11
26	15	13	16	24	10	13	14	14	10	12	18	15	16	21	11
27	13	13	16	24	10	14	13	13	11	13	19	15	16	22	11
28	15	14	16	25	10	7	13	14	11	12	19	16	16	21	11
29	13	14	16	24	9	14	14	14	12	11	19	16	17	22	10
30	15	13	16	25	11	13	14	14	10	12	18	15	17	22	11
31	14	13	16	23	10	14	13	14	10	12	18	15	16	20	12
32	14	14	16	24	10	14	13	14	11	11	19	16	15	24	12