Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Yazd | 5.3571 | | 56 |
|
2 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Hidalgo, Pachuca | 3.6585 | | 41 |
|
3 | A*74-B*50-DRB1*07:01-DQB1*02:01 | | Colombia San Basilio de Palenque | 3.5710 | | 42 |
|
4 | A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Tunisia | 3.0000 | | 100 |
|
5 | A*02:01:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Morocco Atlantic Coast Chaouya | 2.9000 | | 98 |
|
6 | A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | United Arab Emirates Abu Dhabi | 2.8800 | | 52 |
|
7 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 2.6300 | | 95 |
|
8 | A*23-B*50-DRB1*07-DQB1*02 | | Mexico Hidalgo, Pachuca | 2.4390 | | 41 |
|
9 | A*03-B*50-DRB1*07-DQB1*02 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
10 | A*01-B*50-DRB1*07:01-DQB1*02:01 | | Russia Chuvash | 1.8000 | | 82 |
|
11 | A*02-B*50-DRB1*07:01-DQB1*02:01 | | Russia Chuvash | 1.8000 | | 82 |
|
12 | A*02-B*50-DRB1*07:01-DQB1*02:02 | | Tunisia Ghannouch | 1.8000 | | 82 |
|
13 | A*30-B*50-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.7900 | | 112 |
|
14 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico San Luis Potosi Rural | 1.7241 | | 87 |
|
15 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Kurd pop 2 | 1.7000 | | 60 |
|
16 | A*11:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Kurd pop 2 | 1.7000 | | 60 |
|
17 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Saqqez-Baneh Kurds | 1.6667 | | 60 |
|
18 | A*68-B*50-DRB1*07-DQB1*02 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
19 | A*01:01-B*50:01-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 1.5700 | | 95 |
|
20 | A*03:01-B*50:01-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 1.5700 | | 95 |
|
21 | A*23:01-B*50:01-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 1.5700 | | 95 |
|
22 | A*02-B*50-DRB1*07:01-DQB1*02:01 | | Madeira pop 2 | 1.4000 | | 173 |
|
23 | A*02-B*50-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.3400 | | 112 |
|
24 | A*02-B*50-DRB1*07-DQB1*02 | | Turkey pop 2 | 1.3000 | | 228 |
|
25 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Morelos, Cuernavaca | 1.2195 | | 82 |
|
26 | A*02-B*50:01-DRB1*07:01-DQB1*02:01 | | Tunisia pop 3 | 1.2000 | | 104 |
|
27 | A*02-B*50-DRB1*07:01-DQB1*02 | | Gaza Palestinians | 1.2000 | | 165 |
|
28 | A*02-B*50-C*06:02-DRB1*07-DQB1*02 | | Russia North Ossetian | 1.1800 | | 127 |
|
29 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Queretaro, Queretaro city | 1.1111 | | 45 |
|
30 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Tabriz Azeris | 1.0309 | | 97 |
|
31 | A*23-B*50-DRB1*07-DQB1*02 | | Mexico Nayarit, Tepic | 1.0309 | | 97 |
|
32 | A*32-B*50-DRB1*07-DQB1*02 | | Mexico Nayarit, Tepic | 1.0309 | | 97 |
|
33 | A*02-B*50-C*06-DRB1*07-DQB1*02 | | Sudan Khartoum | 1.0200 | | 98 |
|
34 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
35 | A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
36 | A*29:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
37 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Chihuahua, Ciudad Juarez | 0.9259 | | 106 |
|
38 | A*24:02-B*50:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
39 | A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.8333 | | 120 |
|
40 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.8072 | | 28,927 |
|
41 | A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01 | | Iran Gorgan | 0.7800 | | 64 |
|
42 | A*32-B*50-C*06:02-DRB1*07-DQB1*02 | | Russia North Ossetian | 0.7800 | | 127 |
|
43 | A*02-B*50-C*06-DRB1*07-DQA1*02-DQB1*02 | | Spain, Castilla y Leon, Northwest, | 0.7483 | | 1,743 |
|
44 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.7330 | | 4,856 |
|
45 | A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
46 | A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.6676 | | 28,927 |
|
47 | A*68-B*50-DRB1*07-DQB1*02 | | Mexico Baja California, La Paz | 0.6667 | | 75 |
|
48 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Michoacan, Morelia | 0.6623 | | 150 |
|
49 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Coahuila, Torreon | 0.6250 | | 396 |
|
50 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Middle Eastern or North Coast of Africa | 0.6169 | | 70,890 |
|
51 | A*01-B*50-DRB1*07-DQB1*02 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
52 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.5994 | | 28,927 |
|
53 | A*02:01-B*50:01-DRB1*07:01-DQB1*02:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
54 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.5583 | | 5,849 |
|
55 | A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Indian | 0.5535 | | 271 |
|
56 | A*02-B*50-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.5359 | | 641 |
|
57 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01 | | Saudi Arabia pop 6 (G) | 0.5274 | | 28,927 |
|
58 | A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
59 | A*33:03:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
60 | A*24:02-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
61 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.5154 | | 28,927 |
|
62 | A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.5000 | | 298 |
|
63 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.4630 | | 1,159 |
|
64 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.4610 | | 4,204 |
|
65 | A*23-B*50-DRB1*07-DQB1*02 | | Mexico Nuevo Leon Rural | 0.4545 | | 439 |
|
66 | A*23-B*50-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
67 | A*24-B*50-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
68 | A*33-B*50-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
69 | A*01:01-B*50:01-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
70 | A*02:01-B*50:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
71 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Chihuahua Chihuahua City | 0.4202 | | 119 |
|
72 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
73 | A*11:01:01-B*50:01:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
74 | A*30:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
75 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Chiapas Rural | 0.4132 | | 121 |
|
76 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.4101 | | 1,463 |
|
77 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP South Asian Indian | 0.4022 | | 185,391 |
|
78 | A*01-B*50-C*06:02-DRB1*07-DQB1*02 | | Russia North Ossetian | 0.3900 | | 127 |
|
79 | A*02-B*50-DRB1*07-DQB1*02 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
80 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
81 | A*01-B*50-DRB1*07-DQB1*02 | | Mexico Yucatan Rural | 0.3731 | | 132 |
|
82 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.3592 | | 28,927 |
|
83 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.3568 | | 5,829 |
|
84 | A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.3541 | | 11,446 |
|
85 | A*01:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
86 | B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
87 | A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.3470 | | 2,492 |
|
88 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.3464 | | 28,927 |
|
89 | A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Southeast Asian | 0.3459 | | 27,978 |
|
90 | A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.3420 | | 4,335 |
|
91 | A*23-B*50-DRB1*07-DQB1*02 | | Mexico Jalisco Rural | 0.3413 | | 585 |
|
92 | A*02-B*50-DRB1*07-DQB1*02 | | Mexico Nuevo Leon Rural | 0.3409 | | 439 |
|
93 | A*24-B*50-C*15-DRB1*07-DQB1*02 | | Albania pop 2 | 0.3400 | | 432 |
|
94 | A*02-B*50-C*06:02-DRB1*07:01-DQB1*02 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
95 | A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.3252 | | 28,927 |
|
96 | A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
97 | A*03-B*50-DRB1*07-DQB1*02 | | Mexico Guanajuato Rural | 0.3067 | | 162 |
|
98 | A*02:01-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.3000 | | 298 |
|
99 | A*74:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01 | | South Africa Worcester | 0.3000 | | 159 |
|
100 | A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.2980 | | 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).