Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*74-B*35-DRB1*10-DQB1*05 | | Mexico Tamaulipas, Ciudad Victoria | 10.8696 | | 23 |
|
2 | A*68-B*35-DRB1*10:01-DQB1*05:01 | | Colombia San Basilio de Palenque | 3.5710 | | 42 |
|
3 | A*02-B*35-DRB1*10-DQB1*05 | | Mexico Tamaulipas, Ciudad Victoria | 2.1739 | | 23 |
|
4 | A*23-B*35-DRB1*10-DQB1*05 | | Mexico Tamaulipas, Ciudad Victoria | 2.1739 | | 23 |
|
5 | A*11-B*35-DRB1*10-DQB1*05 | | Mexico Sonora, Ciudad Obregón | 1.3986 | | 143 |
|
6 | A*24:07-B*35:01-DRB1*10:01-DQB1*05:03 | | Iran Yazd | 0.8929 | | 56 |
|
7 | A*30-B*35-DRB1*10-DQB1*05 | | Mexico Chihuahua Chihuahua City | 0.8403 | | 119 |
|
8 | A*03-B*35-DRB1*10-DQB1*05 | | Mexico Chiapas Rural | 0.8264 | | 121 |
|
9 | A*68-B*35-DRB1*10-DQB1*05 | | Mexico Colima, Colima city | 0.8197 | | 61 |
|
10 | A*30:01-B*35:01-C*03:02-DRB1*10:01-DQB1*05:01 | | Iran Gorgan | 0.7800 | | 64 |
|
11 | A*32:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:103-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
12 | A*24-B*35-DRB1*10-DQB1*05 | | Mexico Sinaloa Rural | 0.5464 | | 183 |
|
13 | A*24-B*35-DRB1*10-DQB1*05 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
14 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | Italy pop 5 | 0.4400 | | 975 |
|
15 | A*02:01-B*35:27-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*10:01-DQA1*01:05-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
16 | A*23-B*35-DRB1*10-DQB1*05 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
17 | A*68-B*35-DRB1*10-DQB1*05 | | Mexico Sonora, Ciudad Obregón | 0.3497 | | 143 |
|
18 | A*03-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.3120 | | 641 |
|
19 | A*25-B*35-DRB1*10-DQB1*05 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
20 | A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
21 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
22 | A*11-B*35-DRB1*10-DQB1*05 | | Mexico Sinaloa Rural | 0.2732 | | 183 |
|
23 | A*23:01:01-B*35:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
24 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
25 | A*02-B*35-DRB1*10-DQB1*05 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
26 | A*01:01-B*35:01-C*04:01-DRB1*10:02-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
27 | A*01:01-B*35:05-C*04:01-DRB1*10:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
28 | A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
29 | A*68-B*35-DRB1*10-DQB1*05 | | Mexico Tlaxcala Rural | 0.1807 | | 830 |
|
30 | A*03-B*35-DRB1*10-DQB1*05 | | Mexico Durango Rural | 0.1529 | | 326 |
|
31 | A*11:01-B*35:01-DRB1*10:01-DQB1*05:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
32 | A*02-B*35-DRB1*10-DQB1*05 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
33 | A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
34 | A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
35 | A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
36 | A*32:01-B*35:01-C*12:03-DRB1*10:01-DQB1*05:01 | | Italy pop 5 | 0.1400 | | 975 |
|
37 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.1310 | | 2,411 |
|
38 | A*02-B*35-DRB1*10-DQB1*05 | | Mexico Puebla, Puebla city | 0.1253 | | 1,994 |
|
39 | A*02-B*35-DRB1*10-DQB1*05 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
40 | A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.1192 | | 2,492 |
|
41 | A*01-B*35-DRB1*10-DQB1*05 | | Mexico Nuevo Leon Rural | 0.1136 | | 439 |
|
42 | A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.1008 | | 5,829 |
|
43 | A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0978 | | 4,204 |
|
44 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0955 | | 11,446 |
|
45 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0900 | | 5,829 |
|
46 | A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
47 | A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
48 | A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0827 | | 5,849 |
|
49 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0809 | | 2,492 |
|
50 | A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0808 | | 2,403 |
|
51 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0790 | | 4,856 |
|
52 | A*02-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
53 | A*68-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
54 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0754 | | 2,403 |
|
55 | A*11:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
56 | A*24:02-B*35:03-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
57 | A*24:02-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
58 | A*31:01-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
59 | A*33:03-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
60 | A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
61 | A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0683 | | 11,446 |
|
62 | A*03-B*35-DRB1*10-DQB1*05 | | Mexico Mexico City North | 0.0664 | | 751 |
|
63 | A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0656 | | 5,849 |
|
64 | A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0656 | | 2,492 |
|
65 | A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0643 | | 2,492 |
|
66 | A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0641 | | 4,204 |
|
67 | A*03-B*35-DRB1*10-DQB1*05 | | Mexico Tlaxcala Rural | 0.0602 | | 830 |
|
68 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0598 | | 11,446 |
|
69 | A*24:02-B*35:02-C*04:01-DRB1*10:01-DQB1*05:01-DPB1*04:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
70 | A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0564 | | 11,446 |
|
71 | A*24:10-B*35:01-C*04:01-DRB1*10:01-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
72 | A*01:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0506 | | 2,403 |
|
73 | A*30-B*35-DRB1*10-DQB1*05 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
74 | A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0481 | | 2,492 |
|
75 | A*23:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
76 | A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0469 | | 5,829 |
|
77 | A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
78 | A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
79 | A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0432 | | 11,446 |
|
80 | A*11:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
81 | A*32:01-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
82 | A*02:11-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0423 | | 2,492 |
|
83 | A*02:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0416 | | 2,403 |
|
84 | A*03:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0416 | | 2,403 |
|
85 | A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0416 | | 2,403 |
|
86 | A*32:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0416 | | 2,403 |
|
87 | A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0416 | | 2,492 |
|
88 | A*68:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0411 | | 11,446 |
|
89 | A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0410 | | 5,849 |
|
90 | A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0396 | | 5,829 |
|
91 | A*68:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0393 | | 11,446 |
|
92 | A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0363 | | 11,446 |
|
93 | A*01:01-B*35:01-C*15:05-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
94 | A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
95 | A*24:02-B*35:43-C*01:02-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
96 | A*30:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
97 | A*31:01-B*35:30-C*03:04-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
98 | A*24:02-B*35:08-C*04:01-DRB1*10:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
99 | A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0335 | | 5,849 |
|
100 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
* 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).