Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*07-DRB1*13:02-DQB1*03:01 | | Colombia San Basilio de Palenque | 2.3810 | | 42 |
|
2 | A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
3 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
4 | A*01-B*07-DRB1*13-DQB1*03:01 | | Mexico Colima, Colima city | 0.8197 | | 61 |
|
5 | A*26-B*07-DRB1*13-DQB1*03:01 | | Mexico Yucatan Rural | 0.7463 | | 132 |
|
6 | A*33-B*07-DRB1*13-DQB1*03:01 | | Mexico Baja California, La Paz | 0.6667 | | 75 |
|
7 | A*24:02:01-B*07:02:01-C*02:02:02-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
8 | A*68:01-B*07:02-DRB1*13:03-DQB1*03:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
9 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Tlaxcala, Tlaxcala city | 0.5525 | | 181 |
|
10 | A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
11 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
12 | A*01-B*07-DRB1*13-DQB1*03:01 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
13 | A*03-B*07-DRB1*13-DQB1*03:01 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
14 | A*02:01:01-B*07:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
15 | A*26-B*07-DRB1*13-DQB1*03:01 | | Mexico Durango, Durango city | 0.3226 | | 153 |
|
16 | A*23:01-B*07:02-C*07:02-DRB1*13:03-DQA1*03:03-DQB1*03:01-DPB1*17:01 | | South Africa Worcester | 0.3000 | | 159 |
|
17 | A*43:01-B*07:02-C*18:01-DRB1*13:02-DQA1*05:01-DQB1*03:01-DPB1*01:01 | | South Africa Worcester | 0.3000 | | 159 |
|
18 | A*23-B*07-DRB1*13-DQB1*03:01 | | Mexico Coahuila Rural | 0.2294 | | 216 |
|
19 | A*01:01-B*07:02-C*04:01-DRB1*13:14-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
20 | A*66-B*07-DRB1*13-DQB1*03:01 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
21 | A*02:01-B*07:02-C*07:02-DRB1*13:02-DQB1*03:01 | | Italy pop 5 | 0.1400 | | 975 |
|
22 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.1115 | | 221 |
|
23 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Oaxaca Rural | 0.1027 | | 485 |
|
24 | A*03:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01-DPB1*03:01 | | Russia Karelia | 0.0948 | | 1,075 |
|
25 | A*23-B*07-DRB1*13-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
26 | A*24-B*07-DRB1*13-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
27 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
28 | A*23-B*07-DRB1*13:03-DQA1*05:01-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
29 | A*24:02-B*07:02-C*14:02-DRB1*13:01-DQA1*06:01-DQB1*03:01-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
30 | A*33:01-B*07:02-C*07:02-DRB1*13:02-DQB1*03:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
31 | A*03:01-B*07:02-C*07:02-DRB1*13:05-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
32 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
33 | A*03-B*07-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
34 | A*02:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
35 | A*02:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
36 | A*24:02-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
37 | A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
38 | A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
39 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0274 | | 23,595 |
|
40 | A*02-B*07-DRB1*13-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
41 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0156 | | 23,595 |
|
42 | A*01:02-B*07:02-C*07:02-DRB1*13:04-DQB1*03:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
43 | A*02:20-B*07:02-C*07:02-DRB1*13:04-DQB1*03:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
44 | A*29:02-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
45 | A*31:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
46 | A*29:01-B*07:05-C*15:05-DRB1*13:03-DQB1*03:01 | | India West UCBB | 0.0086 | | 5,829 |
|
47 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0059 | | 23,595 |
|
48 | A*24:143-B*07:06-C*03:04-DRB1*13:03-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
49 | A*68:01-B*07:02-C*07:02-DRB1*13:49-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
50 | A*25:01:01-B*07:05:01-C*15:05:02-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
51 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
52 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
53 | A*02:05:01-B*07:02:01-C*12:03:01-DRB1*13:19-DQB1*03:01:01 | | Poland BMR | 0.0017 | | 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).