Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 4.0457 | | 192 |
|
2 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Black | 2.9412 | | 68 |
|
3 | DRB1*01:01:01-DQB1*05:01 | | China Inner Mongolia Autonomous Region Northeast | 2.7210 | | 496 |
|
4 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 2.5795 | | 1,510 |
|
5 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 2.5210 | | 119 |
|
6 | A*03:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Bashkirs | 1.6667 | | 120 |
|
7 | DRB1*01:01:01-DQB1*05:01:01 | | India Mumbai Maratha | 1.5500 | | 91 |
|
8 | A*02:01:01-B*44:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*05:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
9 | A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
10 | A*23:01:01-B*58:01:01-C*07:18:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
11 | A*24:02:01-B*39:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
12 | A*36:01-B*53:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*02:01:19 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
13 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 1.3072 | | 153 |
|
14 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 1.3072 | | 153 |
|
15 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 1.1790 | | 356 |
|
16 | A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
17 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
18 | A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 1.1240 | | 356 |
|
19 | A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 1.0417 | | 192 |
|
20 | A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01 | | England North West | 1.0000 | | 298 |
|
21 | A*02:01-B*44:02-C*05:01-DRB1*01:01:01-DQB1*05:01:01 | | England North West | 1.0000 | | 298 |
|
22 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
23 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
24 | DRB1*01:01:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 0.8990 | | 496 |
|
25 | DRB1*01:01:01-DQB1*05:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 0.8700 | | 496 |
|
26 | DRB1*01:01:01-DQB1*05:01-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.8640 | | 496 |
|
27 | DRB1*01:01:01-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.8590 | | 496 |
|
28 | A*03:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
29 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
30 | A*03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
31 | DRB1*01:01:01-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.8270 | | 496 |
|
32 | DRB1*01:01:01-DQB1*05:01-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.7860 | | 496 |
|
33 | A*11:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
34 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
35 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Karnataka Kannada Speaking | 0.7760 | | 174 |
|
36 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
37 | A*24:02-B*08:01-C*07:01-DRB1*01:01:01-DQB1*05:01:01 | | England North West | 0.7000 | | 298 |
|
38 | A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
39 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.6732 | | 23,595 |
|
40 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.6702 | | 1,510 |
|
41 | A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
42 | A*03:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
43 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
44 | A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.6342 | | 1,510 |
|
45 | A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
46 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
47 | A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
48 | A*02:01:01-B*39:06:02-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
49 | A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
50 | A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
51 | A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
52 | A*36:01-B*14:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
53 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
54 | A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
55 | A*02:01:01:01-B*27:05:02-C*02:02:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
56 | A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
57 | A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
58 | A*02:01:01:01-B*58:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
59 | A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
60 | A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
61 | A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01 | | England North West | 0.5000 | | 298 |
|
62 | A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.4941 | | 1,510 |
|
63 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.4860 | | 23,595 |
|
64 | A*01:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
65 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
66 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.4500 | | 356 |
|
67 | A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.4416 | | 23,595 |
|
68 | A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.4255 | | 1,510 |
|
69 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
70 | A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
71 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
72 | A*02:01:01-B*40:01:02-C*01:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
73 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
74 | A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
75 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
76 | A*03:01:01-B*35:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
77 | A*03:01:01-B*40:01:02-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
78 | A*03:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
79 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
80 | A*11:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
81 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
82 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
83 | A*24:02:01-B*35:02:01-C*04:01:01-DRB1*01:01:01-DQA1*05:05:01-DQB1*05:01-DPA1*02:01:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
84 | A*24:02:01-B*35:03:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
85 | A*24:02:01-B*57:01:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
86 | 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 |
|
87 | A*30:01:01-B*13:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
88 | A*30:01:01-B*39:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*16:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
89 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
90 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01:03 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
91 | 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 |
|
92 | A*02:05:01-B*44:03:01-C*06:02:01:02-DRB1*01:01:01-DQB1*05:01:01:03 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
93 | A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
94 | A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
95 | A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
96 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
97 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
98 | A*33:03:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.3814 | | 192 |
|
99 | A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Karnataka Kannada Speaking | 0.3740 | | 174 |
|
100 | A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.3705 | | 1,510 |
|
* 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).