Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DRB1*13:02:01-DQB1*06:04:01 | | China Shandong Province Han | 3.6000 | | 98 |
|
2 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
3 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
4 | A*23:01:01-B*47:01:01-C*07:02:01-DRB1*13:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
5 | A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Spain, Canary Islands, Gran canaria island | 1.6300 | | 215 |
|
6 | A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
7 | A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
8 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
9 | A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
10 | A*02:01:01-B*15:04:01-C*02:10:01-DRB1*14:54:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
11 | A*30:02:01-B*13:02:01-C*08:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:19 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
12 | A*68:01:02-B*44:03:01-C*07:02:01-DRB1*04:08:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
13 | A*29:02:01-B*35:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
14 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
15 | A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01 | | China Zhejiang Han | 0.5767 | | 1,734 |
|
16 | A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.5620 | | 356 |
|
17 | A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
18 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.4496 | | 23,595 |
|
19 | A*01:01-B*13:02-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
20 | A*03:01-B*50:01-C*06:02-E*01:01:01-F*01:03:01-G*01:04-DRB1*13:02-DQA1*04:01-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
21 | A*24:02-B*15:17-C*07:01-E*01:03:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
22 | A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Nizhny Novgorod, Russians | 0.4272 | | 1,510 |
|
23 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
24 | A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
25 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
26 | A*26:01:01-B*15:220-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
27 | A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
28 | A*01:01:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
29 | A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*01:01:01-DQB1*06:04:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
30 | A*26:01:01-B*50:01:01-C*02:02:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
31 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
32 | A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
33 | A*02:01:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*06:04:01-DPB1*02:01:02 | | South African Black | 0.3520 | | 142 |
|
34 | A*02:05:01-B*81:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
35 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*06:04:01-DPB1*16:01:01 | | South African Black | 0.3520 | | 142 |
|
36 | A*23:01:01-B*07:02:01-C*07:01:01-DRB1*16:02:01-DQB1*06:04:01-DPB1*11:01:01 | | South African Black | 0.3520 | | 142 |
|
37 | A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01 | | South African Black | 0.3520 | | 142 |
|
38 | A*30:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*06:04:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
39 | A*30:01:01-B*08:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*51:01 | | South African Black | 0.3520 | | 142 |
|
40 | A*43:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*02:01:19 | | South African Black | 0.3520 | | 142 |
|
41 | A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
42 | A*68:02:01-B*42:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
43 | A*01:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
44 | A*02:01:01-B*51:01:01-C*15:05:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
45 | A*11:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
46 | A*24:02:01-B*07:02:01-C*07:01:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
47 | A*33:01:01-B*40:01:02-C*08:02:01-DRB1*01:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
48 | A*68:01:02-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
49 | A*01:01:01-B*35:03:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
50 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
51 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
52 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
53 | A*02:02:01-B*53:01:01-C*07:18:01-DRB1*03:01:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
54 | A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
55 | A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
56 | A*03:01:01-B*57:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:04-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
57 | A*11:01:01-B*35:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
58 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
59 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*11:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
60 | A*23:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*06:04:01-DPA1*01:04-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
61 | A*23:17:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
62 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
63 | A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
64 | A*29:02:01-B*41:02:01-C*17:03:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
65 | A*31:01:02-B*51:01:01-C*05:01:01-DRB1*11:04:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
66 | A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.3050 | | 28,927 |
|
67 | A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
68 | A*11:01:01-B*15:17:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
69 | A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
70 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
71 | A*02:11:01-B*48:04:01-C*06:02:01-DRB1*12:02:01-DQB1*06:04:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
72 | A*24:07:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
73 | A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
74 | A*02:06:01-B*13:02:01-C*06:02:01:01-DRB1*08:03:02-DQB1*06:04:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
75 | A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
76 | A*31:01:02:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
77 | A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
78 | A*29:02:01-B*07:05:01-C*15:05-DRB1*13:02:01-DQB1*06:04:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
79 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
80 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
81 | A*02:05:01-B*35:03:01-C*04:01:01-DRB1*13:05:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
82 | A*03:01:01-B*44:03:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*05:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
83 | A*24:02:01-B*51:01:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*14:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
84 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
85 | A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
86 | A*31:01:02-B*35:20:01-C*04:01:01-DRB1*16:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
87 | A*68:01:01-B*40:01:02-C*14:02:01-DRB1*04:07:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*05:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
88 | A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
89 | A*68:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
90 | A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1775 | | 28,927 |
|
91 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1689 | | 28,927 |
|
92 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1681 | | 28,927 |
|
93 | A*24:02:01-B*35:08-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1460 | | 28,927 |
|
94 | A*01:01:01-B*52:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
95 | A*03:01:01-B*47:01:01-C*06:02:01-DRB1*01:01:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
96 | A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
97 | A*11:01:01-B*40:26-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
98 | A*23:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
99 | A*24:02:01-B*27:07:01-C*07:01:01-DRB1*11:01:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
100 | A*31:01:02-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
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* 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).