Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Zacatecas, Fresnillo | 1.9048 | | 103 |
|
2 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Colima, Colima city | 1.6393 | | 61 |
|
3 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City West | 1.4706 | | 33 |
|
4 | A*29-B*38-DRB1*04-DQB1*03:02 | | Mexico Campeche, Campeche city | 1.4706 | | 34 |
|
5 | A*26-B*38-DRB1*04:02-DQB1*03:02 | | Bolivia Quechua | 1.4500 | | 69 |
|
6 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
7 | A*02:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02 | | Kosovo | 1.2100 | | 124 |
|
8 | A*26-B*38-DRB1*04:02-DQB1*03:02 | | Macedonia pop 3 | 1.2000 | | 172 |
|
9 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Queretaro Rural | 1.1628 | | 43 |
|
10 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico San Luis Potosi Rural | 1.1494 | | 87 |
|
11 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico San Luis Potosi Rural | 1.1494 | | 87 |
|
12 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Queretaro, Queretaro city | 1.1111 | | 45 |
|
13 | A*24-B*38-DRB1*04:03-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 1.0400 | | 48 |
|
14 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Chihuahua Chihuahua City | 0.8403 | | 119 |
|
15 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Yucatan, Merida | 0.7692 | | 192 |
|
16 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Chihuahua Rural | 0.6276 | | 236 |
|
17 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Coahuila, Torreon | 0.6250 | | 396 |
|
18 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Morelos, Cuernavaca | 0.6098 | | 82 |
|
19 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
20 | A*24:02-B*38:01-DRB1*04:07-DQB1*03:02 | | Mexico Veracruz Xalapa | 0.5952 | | 84 |
|
21 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Zacatecas, Zacatecas city | 0.5952 | | 84 |
|
22 | A*01-B*38-DRB1*04-DQB1*03:02 | | Mexico San Luis Potosi Rural | 0.5747 | | 87 |
|
23 | A*23:01-B*38:01-DRB1*04:04-DQB1*03:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
24 | A*11-B*38-DRB1*04-DQB1*03:02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
25 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
26 | A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
27 | A*01:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:06-DRB1*04:02-DQA1*01:03-DQB1*03:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
28 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
29 | B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Mexico Mexico City Mestizo pop 2 | 0.4300 | | 234 |
|
30 | A*03-B*38-DRB1*04-DQB1*03:02 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
31 | A*68:01:01:02-B*38:01:01-C*06:02:01:01-DRB1*04:02:01-DQB1*03:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
32 | A*03:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02 | | Kosovo | 0.4030 | | 124 |
|
33 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
34 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Zacatecas Rural | 0.3717 | | 266 |
|
35 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
36 | A*68:03-B*38:01-C*07:02-DRB1*04:11-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
37 | B*38:01-C*07:02-DRB1*04:11-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
38 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*04:01 | | Russia Karelia | 0.3418 | | 1,075 |
|
39 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Michoacan, Morelia | 0.3311 | | 150 |
|
40 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Michoacan, Morelia | 0.3311 | | 150 |
|
41 | A*68-B*38-DRB1*04-DQB1*03:02 | | Mexico Oaxaca, Oaxaca city | 0.3311 | | 151 |
|
42 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
43 | A*03-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
44 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Durango Rural | 0.3058 | | 326 |
|
45 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
46 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
47 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | USA Hispanic pop 2 | 0.2810 | | 1,999 |
|
48 | A*31-B*38-DRB1*04-DQB1*03:02 | | Mexico Tlaxcala, Tlaxcala city | 0.2762 | | 181 |
|
49 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.2680 | | 1,463 |
|
50 | A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
51 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
52 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
53 | A*11:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
54 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco Rural | 0.2560 | | 585 |
|
55 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Sonora Rural | 0.2538 | | 197 |
|
56 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.2534 | | 23,595 |
|
57 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.2430 | | 4,856 |
|
58 | A*01:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
59 | A*03:02:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
60 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
61 | A*32:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
62 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Puebla, Puebla city | 0.2255 | | 1,994 |
|
63 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*35:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
64 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*06:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
65 | A*68:02:01-B*38:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
66 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Veracruz Rural | 0.1848 | | 539 |
|
67 | A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | USA Asian pop 2 | 0.1780 | | 1,772 |
|
68 | A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1710 | | 4,335 |
|
69 | A*68:01-B*38:02-C*01:02-DRB1*04:01-DQB1*03:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
70 | A*74:02-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
71 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco, Guadalajara city | 0.1675 | | 1,189 |
|
72 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
73 | A*68-B*38-DRB1*04-DQB1*03:02 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
74 | A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.1325 | | 1,510 |
|
75 | A*02-B*38-DRB1*04-DQB1*03:02 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
76 | A*29-B*38-DRB1*04-DQB1*03:02 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
77 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Tlaxcala Rural | 0.1205 | | 830 |
|
78 | A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*04:01 | | Russia Karelia | 0.1204 | | 1,075 |
|
79 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Nuevo Leon Rural | 0.1136 | | 439 |
|
80 | A*02:01-B*38:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*02:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
81 | A*03:01-B*38:01-C*12:03-DRB1*04:04-DQB1*03:02-DPB1*02:01 | | Russia Karelia | 0.1115 | | 1,075 |
|
82 | A*02:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.1080 | | 1,463 |
|
83 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
84 | A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.1025 | | 1,463 |
|
85 | A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
86 | A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
87 | A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01 | | Russia Karelia | 0.0968 | | 1,075 |
|
88 | A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0940 | | 4,856 |
|
89 | A*30-B*38-DRB1*04-DQB1*03:02 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
90 | A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
91 | A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
92 | A*01-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
93 | A*68-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
94 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Jalisco, Guadalajara city | 0.0838 | | 1,189 |
|
95 | A*26-B*38-DRB1*04:02-DQA1*03:01-DQB1*03:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
96 | A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
97 | A*24-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City North | 0.0664 | | 751 |
|
98 | A*25-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City North | 0.0664 | | 751 |
|
99 | A*26-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City North | 0.0664 | | 751 |
|
100 | A*30-B*38-DRB1*04-DQB1*03:02 | | Mexico Mexico City North | 0.0664 | | 751 |
|
* 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).