Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68-B*41-DRB1*01-DQB1*05 | | Mexico Mexico City Metropolitan Area Rural | 0.6579 | | 150 |
|
2 | 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 |
|
3 | A*26:12-B*41:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | | South Africa Worcester | 0.3000 | | 159 |
|
4 | A*30:04:01-B*41:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
5 | A*68-B*41-DRB1*01-DQB1*05 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
6 | A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
7 | A*01:01-B*41:01-C*06:15-DRB1*01:02-DQB1*05:01-DPB1*55:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
8 | A*26:30-B*41:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*11:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
9 | A*02-B*41-DRB1*01-DQB1*05 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
10 | A*32-B*41-DRB1*01-DQB1*05 | | Mexico Puebla Rural | 0.1199 | | 833 |
|
11 | A*66-B*41-DRB1*01-DQB1*05 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
12 | A*02-B*41-DRB1*01-DQB1*05 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
13 | A*24-B*41-DRB1*01-DQB1*05 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
14 | A*66-B*41-DRB1*01-DQB1*05 | | Mexico Mexico City North | 0.0664 | | 751 |
|
15 | A*66-B*41-DRB1*01-DQB1*05 | | Mexico Tlaxcala Rural | 0.0602 | | 830 |
|
16 | A*66-B*41-DRB1*01-DQB1*05 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
17 | A*66:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01-DPB1*02:01 | | Russia Karelia | 0.0568 | | 1,075 |
|
18 | A*02:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01-DPB1*04:02 | | Russia Karelia | 0.0564 | | 1,075 |
|
19 | A*66-B*41-DRB1*01-DQB1*05 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
20 | A*66:03-B*41:01-C*16:04-DRB1*01:02-DQB1*05:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
21 | A*68-B*41-DRB1*01-DQB1*05 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
22 | A*33-B*41-DRB1*01-DQB1*05 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
23 | A*02:01:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0374 | | 1,510 |
|
24 | A*03:01-B*41:02-C*08:02-DRB1*01:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
25 | A*01:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
26 | A*68:02-B*41:01-C*17:01-DRB1*01:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
27 | A*24-B*41-C*17-DRB1*01-DQA1*01-DQB1*05 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
28 | A*29-B*41-C*07-DRB1*01-DQA1*01-DQB1*05 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
29 | A*01:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
30 | A*02:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
31 | A*11:01-B*41:01-C*06:02-DRB1*01:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
32 | A*32:01-B*41:01-C*17:01-DRB1*01:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
33 | A*03:01-B*41:01-C*08:02-DRB1*01:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
34 | A*23:01-B*41:01-C*08:02-DRB1*01:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
35 | A*11:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
36 | A*29-B*41-C*17-DRB1*01-DQB1*05-DPB1*03 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
37 | A*66-B*41-C*17-DRB1*01-DQB1*05-DPB1*01 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
38 | A*02:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0092 | | 5,849 |
|
39 | A*24:02-B*41:01-C*12:03-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
40 | A*24:02-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
41 | A*31:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0079 | | 5,849 |
|
42 | A*66:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0023 | | 23,595 |
|
43 | A*01:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0022 | | 23,595 |
|
44 | A*23:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
45 | A*23:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
46 | A*24:02:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0016 | | 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).