Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*30:04:01-B*45:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 1.5837 | | 221 |
|
2 | A*03-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Tonala | 1.4286 | | 35 |
|
3 | A*26-B*45-DRB1*11-DQB1*03:01 | | Mexico Sonora, Hermosillo | 1.0101 | | 99 |
|
4 | A*29-B*45-DRB1*11-DQB1*03:01 | | Mexico Veracruz, Orizaba | 0.8333 | | 60 |
|
5 | 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 |
|
6 | A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
7 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Guanajuato Rural | 0.6135 | | 162 |
|
8 | A*24-B*45-DRB1*11-DQB1*03:01 | | Mexico Durango Rural | 0.6116 | | 326 |
|
9 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
10 | A*24-B*45-DRB1*11-DQB1*03:01 | | Mexico Zacatecas, Zacatecas city | 0.5952 | | 84 |
|
11 | A*02:01-B*45:01-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
12 | A*23-B*45-DRB1*11-DQB1*03:01 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
13 | A*29-B*45-DRB1*11-DQB1*03:01 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
14 | A*23-B*45-DRB1*11-DQB1*03:01 | | Mexico Mexico City Metropolitan Area Rural | 0.3289 | | 150 |
|
15 | A*26-B*45-DRB1*11-DQB1*03:01 | | Mexico Mexico City Metropolitan Area Rural | 0.3289 | | 150 |
|
16 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
17 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | South Africa Worcester | 0.3000 | | 159 |
|
18 | A*30-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
19 | A*30-B*45-DRB1*11-DQB1*03:01 | | Mexico Coahuila, Torreon | 0.2500 | | 396 |
|
20 | A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01 | | USA NMDP Hawaiian or other Pacific Islander | 0.2344 | | 11,499 |
|
21 | A*69:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
22 | A*23-B*45-DRB1*11-DQB1*03:01 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
23 | A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01-DPB1*04:02 | | Panama | 0.1900 | | 462 |
|
24 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.1709 | | 1,463 |
|
25 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco Rural | 0.1706 | | 585 |
|
26 | A*02:01-B*45:01-C*06:11-DRB1*11:02-DQB1*03:01-DPB1*124:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
27 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Durango Rural | 0.1529 | | 326 |
|
28 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
29 | A*23:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | USA NMDP Black South or Central American | 0.1415 | | 4,889 |
|
30 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.1367 | | 1,463 |
|
31 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.1310 | | 2,411 |
|
32 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
33 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Oaxaca Rural | 0.1027 | | 485 |
|
34 | A*29-B*45-DRB1*11-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
35 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
36 | A*11-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
37 | A*03-B*45-DRB1*11:02-DQA1*05:05-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
38 | A*29-B*45-DRB1*11:01-DQA1*05:05-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
39 | A*29:02:01:02-B*45:01:01-C*06:02:01:03-DRB1*11:04:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
40 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
41 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
42 | A*01:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
43 | A*74:01-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
44 | A*74:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
45 | A*74:01-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
46 | A*33:03-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
47 | A*02-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
48 | A*30-B*45-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
49 | A*02:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
50 | A*02:01:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
51 | A*02:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0271 | | 23,595 |
|
52 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
53 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0170 | | 4,856 |
|
54 | A*02:02-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
55 | A*66:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
56 | A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0084 | | 23,595 |
|
57 | A*32:01:01-B*45:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0064 | | 23,595 |
|
58 | A*03:01:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0049 | | 23,595 |
|
59 | A*32:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0043 | | 2,492 |
|
60 | A*32:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0043 | | 2,492 |
|
61 | A*32:08-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0043 | | 2,492 |
|
62 | A*02:07:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
63 | A*25:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
64 | A*32:01-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
65 | A*32:01-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
66 | A*32:01-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
67 | A*32:01-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
68 | A*32:02-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
69 | A*32:02-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
70 | A*32:02-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
71 | A*32:02-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
72 | A*32:08-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
73 | A*32:08-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
74 | A*32:08-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
75 | A*32:08-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | | India Tamil Nadu | 0.0006070 | | 2,492 |
|
76 | A*24:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0004419 | | 23,595 |
|
* 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).