Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24-B*39-DRB1*04-DQB1*03:01 | | Mexico Colima Rural | 1.1364 | | 43 |
|
2 | A*24:02-B*39:02-C*07:02-DRB1*04:11-DQA1*05:03-DQB1*03:01 | | Mexico Chichen Itza Maya (prehispanic) | 1.0638 | | 47 |
|
3 | A*68-B*39-DRB1*04:07-DQB1*03:01 | | Mexico San Vicente Tancuayalab Teenek/Huastecos | 0.9400 | | 53 |
|
4 | A*02-B*39-DRB1*04-DQB1*03:01 | | Mexico Nuevo Leon, Monterrey city | 0.6637 | | 226 |
|
5 | A*68:01-B*39:01-DRB1*04:07-DQB1*03:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
6 | A*02:01-B*39:09-DRB1*04:03-DQB1*03:01 | | Peru Titikaka Lake Uros | 0.4800 | | 105 |
|
7 | A*02:33-B*39:02-C*07:02-DRB1*04:07-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Nicaragua Managua | 0.4329 | | 339 |
|
8 | A*25-B*39-DRB1*04-DQB1*03:01 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
9 | A*02-B*39-DRB1*04-DQB1*03:01 | | Mexico Yucatan Rural | 0.3731 | | 132 |
|
10 | A*24:02-B*39:06-C*07:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
11 | B*39:06-C*07:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
12 | A*24-B*39-DRB1*04-DQB1*03:01 | | Mexico Mexico City Metropolitan Area Rural | 0.3289 | | 150 |
|
13 | A*02-B*39-DRB1*04-DQB1*03:01 | | Mexico Guanajuato Rural | 0.3067 | | 162 |
|
14 | A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:01 | | USA NMDP Hawaiian or other Pacific Islander | 0.2759 | | 11,499 |
|
15 | A*02:01-B*39:05-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*04:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
16 | A*68:05-B*39:05-C*07:02-DRB1*04:07-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
17 | A*24-B*39-DRB1*04-DQB1*03:01 | | Mexico Chihuahua Rural | 0.2092 | | 236 |
|
18 | A*24-B*39-DRB1*04-DQB1*03:01 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
19 | A*02:01-B*39:06-DRB1*04:07-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
20 | A*02:01-B*39:06-C*07:02-DRB1*04:07-DQB1*03:01 | | Italy pop 5 | 0.1400 | | 975 |
|
21 | A*68-B*39-DRB1*04-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.1205 | | 830 |
|
22 | A*02-B*39-DRB1*04-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
23 | A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
24 | A*31:01:02:01-B*39:01:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
25 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
26 | A*31-B*39-DRB1*04-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
27 | A*68-B*39-DRB1*04-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
28 | A*02:06:01-B*39:05:01-C*07:02:01-DRB1*04:07-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.0182 | | 221 |
|
29 | A*68:01-B*39:31-C*12:03-DRB1*04:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
30 | A*01:01-B*39:01-C*07:06-DRB1*04:08-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
31 | A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:08-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
32 | A*25:01:01-B*39:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0024 | | 23,595 |
|
33 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*03:01:01-B*39:01:01-C*07:02:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
35 | A*24:02:01-B*39:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
36 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*68:01:02-B*39:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 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).