Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11-B*27-DRB1*15-DQB1*06 | | Mexico Guanajuato, Guanajuato city | 4.5455 | | 22 |
|
2 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Queretaro Rural | 2.3256 | | 43 |
|
3 | A*26-B*27-DRB1*15-DQB1*06 | | Mexico Sinaloa Mestizo | 1.8000 | | 56 |
|
4 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Mexico City West | 1.4706 | | 33 |
|
5 | A*30-B*27-DRB1*15-DQB1*06 | | Ecuador Amazonia Mixed Ancestry | 1.2821 | | 39 |
|
6 | A*26-B*27-DRB1*15-DQB1*06 | | Mexico Sinaloa Rural | 0.8197 | | 183 |
|
7 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Baja California, La Paz | 0.6667 | | 75 |
|
8 | A*30:02-B*27:05-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01 | | Nicaragua Managua | 0.6494 | | 339 |
|
9 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Mexico City East | 0.6250 | | 79 |
|
10 | A*26-B*27-DRB1*15-DQB1*06 | | Mexico Hidalgo Rural | 0.6173 | | 81 |
|
11 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
12 | A*23:01-B*27:05-C*02:10-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*11:01 | | South Africa Worcester | 0.6000 | | 159 |
|
13 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Jalisco Rural | 0.5119 | | 585 |
|
14 | A*29-B*27-DRB1*15-DQB1*06 | | Mexico Sinaloa, Culiacán | 0.4854 | | 103 |
|
15 | A*02-B*27-DRB1*15-DQB1*06 | | Mexico Tlaxcala Rural | 0.4217 | | 830 |
|
16 | A*01:01:01-B*27:05:02-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
17 | A*02:01:01-B*27:02:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
18 | A*02:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQA1*02:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
19 | A*26:01-B*27:05:02-C*02:02:02:01-DRB1*15:01:01-DQB1*06:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
20 | A*24-B*27-C*02:02-DRB1*15-DQB1*06 | | Russia North Ossetian | 0.3900 | | 127 |
|
21 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Zacatecas Rural | 0.3717 | | 266 |
|
22 | A*01-B*27-DRB1*15-DQB1*06 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
23 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
24 | A*26:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
25 | A*23:01-B*27:05-C*02:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | South Africa Worcester | 0.3000 | | 159 |
|
26 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
27 | A*11-B*27-DRB1*15-DQB1*06 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
28 | A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
29 | A*24-B*27-DRB1*15-DQB1*06 | | Mexico Sonora Rural | 0.2538 | | 197 |
|
30 | A*02-B*27-DRB1*15-DQB1*06 | | Mexico Puebla Rural | 0.2398 | | 833 |
|
31 | A*03-B*27-DRB1*15-DQB1*06 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
32 | A*68-B*27-C*02-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.2000 | | 4,510 |
|
33 | A*30:02-B*27:03-C*02:02-DRB1*15:01-DQB1*06:06-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
34 | A*02:11-B*27:05-C*02:02-DRB1*15:02-DQB1*06:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
35 | A*24:02-B*27-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
36 | A*02:01-B*27:07-C*07:01-DRB1*15:02-DQB1*06:01 | | Italy pop 5 | 0.1400 | | 975 |
|
37 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Mexico City North | 0.1328 | | 751 |
|
38 | A*02-B*27-C*02-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.1313 | | 1,743 |
|
39 | A*31-B*27-C*01-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.1200 | | 4,510 |
|
40 | A*11:01:01-B*27:04:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
41 | A*03:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
42 | A*30:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.1025 | | 1,463 |
|
43 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
44 | A*31-B*27-DRB1*15-DQB1*06 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
45 | A*03-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
46 | A*24-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
47 | A*26-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
48 | A*32-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
49 | A*33-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
50 | A*03:01-B*27:05-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
51 | A*01:01-B*27:02-C*02:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
52 | A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
53 | A*03:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0673 | | 1,510 |
|
54 | A*02-B*27-DRB1*15-DQB1*06 | | Mexico Mexico City North | 0.0664 | | 751 |
|
55 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
56 | A*11:01-B*27:04-C*12:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
57 | A*24:02-B*27:06-C*07:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
58 | A*24:31-B*27:06-C*08:01-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
59 | A*11-B*27-C*01-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0505 | | 1,743 |
|
60 | A*02-B*27-C*02-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.0500 | | 4,510 |
|
61 | A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0476 | | 4,204 |
|
62 | A*02:02-B*27:05-C*01:02-DRB1*15:03-DQB1*06:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
63 | A*02:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
64 | A*24:02-B*27:05-C*07:04-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
65 | A*03-B*27-DRB1*15-DQB1*06 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
66 | A*30-B*27-DRB1*15-DQB1*06 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
67 | A*11-B*27-DRB1*15-DQB1*06 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
68 | A*26-B*27-DRB1*15-DQB1*06 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
69 | A*26:01-B*27:05-C*02:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.0416 | | 2,403 |
|
70 | A*01:01-B*27:02-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0410 | | 4,856 |
|
71 | A*02:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0351 | | 23,595 |
|
72 | A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0345 | | 1,510 |
|
73 | A*03:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
74 | A*02:01-B*27:02-C*02:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
75 | A*30:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
76 | A*01:01:01:01-B*27:14-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
77 | A*02:01:01:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
78 | A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
79 | A*11:01:01:01-B*27:05:02-C*07:02:01-DRB1*15:02-DQB1*06:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
80 | A*24:02:01:01-B*27:05:02-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
81 | A*68:01:01:02-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
82 | A*02-B*27-C*01-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
83 | A*30-B*27-C*15-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
84 | A*02:01:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0320 | | 23,595 |
|
85 | A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0310 | | 4,856 |
|
86 | A*02:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0306 | | 3,456,066 |
|
87 | A*02:06-B*27:04-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
88 | A*24-B*27-C*01-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.0300 | | 4,510 |
|
89 | A*24-B*27-C*02-DRB1*15-DQB1*06-DPB1*02 | | Norway ethnic Norwegians | 0.0300 | | 4,510 |
|
90 | A*32-B*27-C*01-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.0300 | | 4,510 |
|
91 | A*11:01:01-B*27:04:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
92 | A*11:01:01-B*27:05:02-C*03:03:01-DRB1*15:02:01-DQB1*06:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
93 | A*31:01:02-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
94 | A*24:02-B*27:07-C*15:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.0282 | | 5,849 |
|
95 | A*32:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0280 | | 4,856 |
|
96 | A*68:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0262 | | 11,446 |
|
97 | A*32:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0261 | | 23,595 |
|
98 | A*02-B*27-DRB1*15-DQB1*06 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
99 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
100 | A*01:01-B*27:05-C*02:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0246 | | 11,446 |
|
* 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).