Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Coahuila Rural | 0.4587 | | 216 |
|
2 | A*02:01:01-B*44:05:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*03:03:02-DPA1*02:01:02-DPB1*01:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
3 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
4 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03 | | USA NMDP Alaska Native or Aleut | 0.2734 | | 1,376 |
|
5 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*03:03 | | Costa Rica Central Valley Mestizo (G) | 0.1303 | | 221 |
|
6 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
7 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
8 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Mexico City North | 0.0664 | | 751 |
|
9 | A*02-B*44-DRB1*07-DQB1*03:03 | | Ecuador Andes Mixed Ancestry | 0.0607 | | 824 |
|
10 | A*02:01:01-B*44:27:01-C*07:04:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0602 | | 23,595 |
|
11 | A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*03:03-DPB1*04:02 | | Russia Karelia | 0.0565 | | 1,075 |
|
12 | A*02-B*44-DRB1*07-DQB1*03:03 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
13 | A*02-B*44-DRB1*07-DQB1*03:03 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
14 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0203 | | 23,595 |
|
15 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03-DPB1*04:01 | | Germany DKMS - German donors | 0.0167 | | 3,456,066 |
|
16 | A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0163 | | 2,492 |
|
17 | A*02:06-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0122 | | 4,204 |
|
18 | A*02:03-B*44:03-C*15:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
19 | A*02:06-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
20 | A*02:09-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0090 | | 11,446 |
|
21 | A*02:05-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0087 | | 11,446 |
|
22 | A*02:11-B*44:03-C*03:04-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0087 | | 11,446 |
|
23 | A*02:05-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0084 | | 5,849 |
|
24 | A*02:11-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0083 | | 11,446 |
|
25 | A*02:01-B*44:03-C*03:04-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
26 | A*02:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0043 | | 5,849 |
|
27 | A*02:01:01-B*44:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0043 | | 23,595 |
|
28 | A*02:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0041 | | 23,595 |
|
29 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0029 | | 23,595 |
|
30 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0029 | | 23,595 |
|
31 | A*02:01:01-B*44:02:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0024 | | 23,595 |
|
32 | A*02:01:01-B*44:03:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0015 | | 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).