Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DRB1*14:01:01-DQB1*03:01:01 | | China Yunnan Province Drung | 10.2000 | | 70 |
|
2 | DRB1*12:02:01-DQB1*03:01:01 | | China Yunnan Province Lahu | 8.9000 | | 70 |
|
3 | DRB1*12:02:01-DQB1*03:01:01/03:09-DPB1*02:01:02 | | China Yunnan Province Bai | 8.2000 | | 128 |
|
4 | DRB1*12:02:01-DQB1*03:01:01/03:09 | | China Shandong Province Han | 7.7000 | | 98 |
|
5 | DRB1*11:01:01-DQB1*03:01:01/03:09 | | China Shandong Province Han | 4.6000 | | 98 |
|
6 | A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 3.8440 | | 101 |
|
7 | DRB1*14:03-DQB1*03:01:01 | | China Yunnan Province Drung | 3.5000 | | 70 |
|
8 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 3.4000 | | 107 |
|
9 | A*24-B*15:25-C*04:03-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Lisu | 3.3000 | | 111 |
|
10 | DRB1*04:01:01-DQB1*03:01:01 | | India Mumbai Maratha | 3.1000 | | 91 |
|
11 | DRB1*12:01-DQB1*03:01:01 | | China Yunnan Province Drung | 2.9000 | | 70 |
|
12 | DRB1*11:01:01-DQB1*03:01:01/03:09-DPB1*05:01 | | China Yunnan Province Bai | 2.7000 | | 128 |
|
13 | A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02 | | China Yunnan Province Nu | 2.6000 | | 107 |
|
14 | A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02 | | China Yunnan Province Nu | 2.6000 | | 107 |
|
15 | DRB1*12:02:01-DQB1*03:01:01-DPB1*02:01:02 | | China Lijiang Naxi | 2.6000 | | 100 |
|
16 | DRB1*12:02:01-DQB1*03:01:01-DPB1*04:02 | | China Lijiang Naxi | 2.6000 | | 100 |
|
17 | DRB1*13:03-DQA1*05:05-DQB1*03:01:01 | | Iran | 2.6000 | | 58 |
|
18 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Lisu | 2.5000 | | 111 |
|
19 | A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
20 | A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
21 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
22 | A*02:04-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
23 | A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
24 | A*24:02:01-B*51:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
25 | A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
26 | A*68:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
27 | DRB1*12:02:01-DQB1*03:01:01/03:09-DPB1*05:01 | | China Yunnan Province Bai | 2.3000 | | 128 |
|
28 | DRB1*12:01:01/12:06/12:10-DQB1*03:01:01/03:09 | | China Shandong Province Han | 2.0000 | | 98 |
|
29 | DRB1*04:05:01-DQB1*03:01:01-DPB1*02:01:02 | | China Lijiang Naxi | 1.8000 | | 100 |
|
30 | DRB1*09:01:02-DQB1*03:01:01 | | China Yunnan Province Lahu | 1.8000 | | 70 |
|
31 | DRB1*12:02:01-DQB1*03:01:01-DPB1*05:01 | | China Lijiang Naxi | 1.8000 | | 100 |
|
32 | DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Lijiang Naxi | 1.8000 | | 100 |
|
33 | A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
34 | A*02-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
35 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*31:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
36 | A*11:01:01-B*15:32-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
37 | A*11:01:01-B*40-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:02 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
38 | A*24-B*15:25-C*04:03-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
39 | A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
40 | A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
41 | A*33:03:01-B*51-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*04:01:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
42 | A*02:07:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 1.6010 | | 101 |
|
43 | A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 1.5183 | | 1,734 |
|
44 | A*11:01:01-B*40:01:02-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 1.4850 | | 101 |
|
45 | A*24:07:01-B*35:05:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 1.4850 | | 101 |
|
46 | A*02:01:01-B*15:18:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
47 | A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
48 | A*11:01:01-B*44:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
49 | A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
50 | A*24:02:01-B*50:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
51 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
52 | A*30:02:01-B*41:02:01-C*03:04:02-DRB1*08:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*01:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
53 | A*31:01:02-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
54 | A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 1.4000 | | 215 |
|
55 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 1.3889 | | 72 |
|
56 | A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 1.3889 | | 72 |
|
57 | A*32:01:01-B*48:04:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | India Andhra Pradesh Telugu Speaking | 1.3441 | | 186 |
|
58 | A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
59 | A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 1.0106 | | 1,734 |
|
60 | A*02:07:01-B*15:02:01-C*08:01:01-DRB1*13:12:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
61 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
62 | A*11:01:01-B*15:25:01-C*07:02:01-DRB1*15:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
63 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
64 | A*24:02:01-B*15:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
65 | A*24:02:01-B*27:06-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
66 | A*29:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
67 | A*33:03:01-B*56:04-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
68 | A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
69 | A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
70 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
71 | A*32:01:01-B*42:02-C*17:01-DRB1*13:03:02-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
72 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
73 | A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
74 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
75 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.7782 | | 521 |
|
76 | A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.7360 | | 1,734 |
|
77 | A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01 | | South African Black | 0.7040 | | 142 |
|
78 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.7020 | | 356 |
|
79 | A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
80 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*12:01:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
81 | A*02:01:01-B*15:01:01-C*01:02:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
82 | A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
83 | A*02:01:01-B*37:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
84 | A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
85 | A*02:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
86 | A*02:01:01-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
87 | A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
88 | A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
89 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
90 | A*02:01:01-B*52:01:01-C*03:03:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
91 | A*03:01:02-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
92 | A*24:02:01-B*15:08:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
93 | A*24:02:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
94 | A*24:02:01-B*39:06:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
95 | A*24:02:01-B*52:01:02-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
96 | A*24:02:01-B*53:03-C*12:03:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
97 | A*31:01:02-B*40:02:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
98 | A*68:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
99 | A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
100 | A*68:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).