Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*51:01:01-DRB1*13:01:01 | | Madeira | 2.7000 | | 185 |
|
2 | A*02:01:01-B*51:01:01-DRB1*13:01:01 | | Bulgaria | 2.7000 | | 55 |
|
3 | A*24:03:01-B*40:04:01-C*03:04:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
4 | A*30:02:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
5 | DRB1*13:01:01-DQB1*06:03 | | China Inner Mongolia Autonomous Region Northeast | 2.2180 | | 496 |
|
6 | A*02:01:01-B*15:01:01:01-DRB1*13:01:01 | | Portugal Center | 2.0000 | | 50 |
|
7 | A*11:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal South | 2.0000 | | 49 |
|
8 | A*31:01:02-B*51:01:01-DRB1*13:01:01 | | Portugal Center | 2.0000 | | 50 |
|
9 | DRB1*13:01:01-DQB1*06:03 | | China Shandong Province Han | 2.0000 | | 98 |
|
10 | A*02:01:01-B*44:02:01-DRB1*13:01:01 | | Madeira | 1.6000 | | 185 |
|
11 | A*02:01:01-B*51:01:01-DRB1*13:01:01 | | Cape Verde Southeastern Islands | 1.6000 | | 62 |
|
12 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
13 | 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 |
|
14 | 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 |
|
15 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
16 | A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
17 | A*02:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01 | | South African Black | 1.4080 | | 142 |
|
18 | DRB1*13:01:01-DQB1*06 | | China Inner Mongolia Region Ewenki | 1.3000 | | 94 |
|
19 | A*01:01:01-B*51:01:01-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
20 | A*02:01:01-B*27:05:02/27:05:04/27:13-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
21 | A*02:01:01-B*51:01:01-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
22 | A*11:01:01-B*35:01:01-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
23 | A*24:02:01-B*15:01:01:01-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
24 | A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 1.0753 | | 186 |
|
25 | A*02:01:01-B*07:05/07:06-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
26 | A*02:01:01-B*14:02-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
27 | A*02:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
28 | A*03:01:01-B*18:01:01-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
29 | A*11:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
30 | A*24:02:01-B*40:01:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
31 | A*29:02-B*08:01-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
32 | A*29:02-B*15:01:01:01-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
33 | A*29:02-B*44:02:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
34 | A*32:01-B*18:01:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
35 | A*33:01-B*27:05:02/27:05:04/27:13-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
36 | A*68:01:01-B*56:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
37 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
38 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
39 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
40 | A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
41 | 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 |
|
42 | A*02:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
43 | A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
44 | A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
45 | A*02:01-B*44:02-C*05:01-DRB1*13:01:01-DQB1*06:03:01 | | England North West | 0.8000 | | 298 |
|
46 | A*33:03:01-B*44:03:02-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.7930 | | 174 |
|
47 | A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
48 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.7782 | | 521 |
|
49 | DRB1*13:01:01-DQB1*06:03-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.7660 | | 496 |
|
50 | DRB1*13:01:01-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.7490 | | 496 |
|
51 | A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01 | | South African Black | 0.7040 | | 142 |
|
52 | A*24:02:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
53 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
54 | DRB1*13:01:01-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.6770 | | 496 |
|
55 | A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
56 | A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
57 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
58 | DRB1*13:01:01-DQB1*06:03-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.6470 | | 496 |
|
59 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.6423 | | 23,595 |
|
60 | A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01 | | Saudi Arabia pop 6 (G) | 0.6294 | | 28,927 |
|
61 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
62 | A*02:01:01-B*08:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
63 | A*02:01:01-B*15:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*20:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
64 | A*02:01:01-B*44:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
65 | A*03:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
66 | A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
67 | A*26:01:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
68 | A*29:02:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
69 | A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
70 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.5750 | | 174 |
|
71 | A*24:02:01-B*40:06:01-C*01:02:01-DRB1*13:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.5750 | | 174 |
|
72 | A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.5750 | | 174 |
|
73 | A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.5620 | | 356 |
|
74 | A*11:01:01-B*40:01:02-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
75 | A*33:03:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
76 | A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
77 | A*32:01:01-B*07:02:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
78 | A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.5188 | | 23,595 |
|
79 | A*02:01-B*15:01-C*03:03-DRB1*13:01:01-DQB1*06:03:01 | | England North West | 0.5000 | | 298 |
|
80 | A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
81 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
82 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
83 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
84 | A*23:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
85 | A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
86 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
87 | A*32:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
88 | DRB1*13:01:01-DPB1*04:02:01 | | China Inner Mongolia Autonomous Region Northeast | 0.4330 | | 496 |
|
89 | DRB1*13:01:01-DQB1*06:03-DPB1*04:02:01 | | China Inner Mongolia Autonomous Region Northeast | 0.4300 | | 496 |
|
90 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.4244 | | 23,595 |
|
91 | A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.4217 | | 1,510 |
|
92 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
93 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
94 | A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
95 | A*26:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
96 | 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 |
|
97 | A*02:01:01-B*40:01:02-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
98 | A*02:01:01-B*44:03:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
99 | A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
100 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
* 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).