Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03-B*14:02-DRB1*13-DQB1*06 | | Mexico Jalisco, Tonala | 1.4286 | | 35 |
|
2 | A*02-B*14:02-DRB1*13-DQB1*06 | | Ecuador Amazonia Mixed Ancestry | 1.2821 | | 39 |
|
3 | A*03:01-B*14:02:01-C*08:02-DRB1*13:02:01-DQB1*06:09 | | England North West | 1.2000 | | 298 |
|
4 | A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01-DQB1*06:03 | | Costa Rica Central Valley Mestizo (G) | 1.1312 | | 221 |
|
5 | A*33-B*14:02-DRB1*13-DQB1*06 | | Mexico Nayarit Rural | 0.7812 | | 64 |
|
6 | A*33-B*14:02-DRB1*13-DQB1*06 | | Mexico Mexico City Center | 0.6494 | | 152 |
|
7 | A*25:01-B*14:02-DRB1*13:01-DQB1*06:03 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
8 | A*03:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*05:01 | | USA San Diego | 0.5210 | | 496 |
|
9 | A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
10 | A*30:02:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*835:01:01 | | South African Black | 0.3520 | | 142 |
|
11 | A*03-B*14:02-DRB1*13-DQB1*06 | | Mexico Oaxaca, Oaxaca city | 0.3311 | | 151 |
|
12 | A*68-B*14:02-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
13 | A*01:01:01:01-B*14:02:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
14 | A*31-B*14:02-DRB1*13-DQB1*06 | | Mexico Yucatan, Merida | 0.2564 | | 192 |
|
15 | 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 |
|
16 | A*33-B*14:02-DRB1*13-DQB1*06 | | Mexico Coahuila Rural | 0.2294 | | 216 |
|
17 | A*33:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
18 | A*33-B*14:02-DRB1*13-DQB1*06 | | Mexico Chihuahua Rural | 0.2092 | | 236 |
|
19 | A*02:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*04:02 | | Tanzania Maasai | 0.1597 | | 336 |
|
20 | A*03:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
21 | A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*01:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
22 | A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Italy pop 5 | 0.1400 | | 975 |
|
23 | A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.1325 | | 1,510 |
|
24 | A*68-B*14:02-DRB1*13-DQB1*06 | | Mexico Jalisco, Guadalajara city | 0.0838 | | 1,189 |
|
25 | A*02:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
26 | A*33:03-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
27 | A*68-B*14:02-DRB1*13-DQB1*06 | | Mexico Mexico City North | 0.0664 | | 751 |
|
28 | A*24-B*14:02-DRB1*13-DQB1*06 | | Ecuador Andes Mixed Ancestry | 0.0607 | | 824 |
|
29 | A*26-B*14:02-DRB1*13-DQB1*06 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
30 | A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
31 | A*74:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
32 | A*23:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
33 | A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
34 | A*02-B*14:02-DRB1*13-DQB1*06 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
35 | A*24-B*14:02-DRB1*13-DQB1*06 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
36 | A*03-B*14:02-DRB1*13-DQB1*06 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
37 | A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
38 | A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
39 | A*25:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
40 | A*29:02-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
41 | A*30:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
42 | A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
43 | A*68:02-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
44 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
45 | A*33-B*14:02-DRB1*13-DQB1*06 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
46 | A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*05:01 | | Germany DKMS - German donors | 0.0246 | | 3,456,066 |
|
47 | A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*04:01 | | Germany DKMS - German donors | 0.0162 | | 3,456,066 |
|
48 | A*33:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Turkey minority | 0.0130 | | 4,856 |
|
49 | A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*04:01 | | Germany DKMS - German donors | 0.0121 | | 3,456,066 |
|
50 | A*01:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
51 | A*26:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
52 | A*31:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:02 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
53 | A*31:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:04 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
54 | A*02:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
55 | A*32:01-B*14:02-C*06:02-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
56 | A*33:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
57 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*06:03:01 | | Poland BMR | 0.0085 | | 23,595 |
|
58 | A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0085 | | 23,595 |
|
59 | A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0068 | | 23,595 |
|
60 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0043 | | 23,595 |
|
61 | A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0043 | | 23,595 |
|
62 | A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0042 | | 23,595 |
|
63 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0031 | | 23,595 |
|
64 | A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
65 | A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
66 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
67 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
68 | A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0020 | | 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).