Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*35-DRB1*13:04-DQB1*03:01 | | Colombia San Basilio de Palenque | 4.7620 | | 42 |
|
2 | A*02-B*35-DRB1*13:03-DQB1*03:01 | | Colombia San Basilio de Palenque | 2.3810 | | 42 |
|
3 | A*24-B*35-DRB1*13-DQA1*05-DQB1*03:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.7900 | | 112 |
|
4 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico San Luis Potosi, San Luis Potosi city | 1.6667 | | 30 |
|
5 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
6 | A*31-B*35-DRB1*13-DQB1*03:01 | | Mexico Aguascalientes state | 1.0526 | | 95 |
|
7 | A*30-B*35-DRB1*13-DQB1*03:01 | | Mexico Veracruz, Coatzacoalcos | 0.8929 | | 55 |
|
8 | A*02-B*35-DRB1*13-DQA1*05-DQB1*03:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.8900 | | 112 |
|
9 | A*68-B*35-DRB1*13:01-DQB1*03:01 | | Mexico Sinaloa Capomos Mayo Yoremes | 0.8333 | | 60 |
|
10 | A*02-B*35-DRB1*13-DQB1*03:01 | | Guatemala, Guatemala City Mixed Ancestry | 0.7900 | | 127 |
|
11 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Coahuila, Saltillo | 0.6849 | | 72 |
|
12 | A*68-B*35-DRB1*13-DQB1*03:01 | | Mexico Zacatecas, Zacatecas city | 0.5952 | | 84 |
|
13 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
14 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Yucatan, Merida | 0.5128 | | 192 |
|
15 | A*23-B*35-DRB1*13-DQB1*03:01 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
16 | A*02:01-B*35:05-DRB1*13:02-DQB1*03:01 | | Peru Titikaka Lake Uros | 0.4800 | | 105 |
|
17 | A*80:01:01-B*35:01:01-C*04:01:01-DRB1*13:04-DQB1*03:01:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
18 | A*11:01-B*35:01:01-C*14:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
19 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
20 | A*24:02-B*35:01-C*04:01-DRB1*13:03-DQA1*05:05-DQB1*03:01 | | Kosovo | 0.4030 | | 124 |
|
21 | A*66-B*35-DRB1*13-DQB1*03:01 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
22 | A*68-B*35-DRB1*13-DQB1*03:01 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
23 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Yucatan Rural | 0.3731 | | 132 |
|
24 | A*03-B*35-DRB1*13-DQB1*03:01 | | Mexico Guerrero state | 0.3472 | | 144 |
|
25 | A*23-B*35-DRB1*13-DQB1*03:01 | | Mexico Guerrero state | 0.3472 | | 144 |
|
26 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Oaxaca, Oaxaca city | 0.3311 | | 151 |
|
27 | A*74-B*35-DRB1*13-DQB1*03:01 | | Mexico Mexico City Metropolitan Area Rural | 0.3289 | | 150 |
|
28 | A*02:01:01-B*35:01:01-C*15:13-DRB1*13:03:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
29 | A*30:01-B*35:01-C*07:05-DRB1*13:03-DQB1*03:01-DPB1*11:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
30 | A*30-B*35-DRB1*13-DQB1*03:01 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
31 | A*24:02:01-B*35:01:01-C*03:02:01-DRB1*13:02:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
32 | A*30-B*35-DRB1*13-DQB1*03:01 | | Mexico Veracruz, Xalapa | 0.2674 | | 187 |
|
33 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Sonora Rural | 0.2538 | | 197 |
|
34 | A*32-B*35-DRB1*13-DQB1*03:01 | | Mexico Coahuila, Torreon | 0.2500 | | 396 |
|
35 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.2318 | | 1,510 |
|
36 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Coahuila Rural | 0.2294 | | 216 |
|
37 | A*02:02-B*35:08:01-C*04:01:01-DRB1*13:04-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
38 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Nuevo Leon, Monterrey city | 0.2212 | | 226 |
|
39 | A*01:01-B*35:01-C*07:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
40 | A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
41 | A*01-B*35-DRB1*13-DQB1*03:01 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
42 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
43 | A*24-B*35-DRB1*13-DQB1*03:01 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
44 | A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
45 | A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
46 | A*30:02:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:04 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
47 | A*02:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*17:01 | | Panama | 0.1900 | | 462 |
|
48 | A*30:01-B*35:01-C*07:02-DRB1*13:02-DQB1*03:01-DPB1*04:02 | | Panama | 0.1900 | | 462 |
|
49 | A*24:02-B*35:03-C*07:24-DRB1*13:02-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
50 | A*24-B*35-DRB1*13-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.1807 | | 830 |
|
51 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco Rural | 0.1706 | | 585 |
|
52 | A*23-B*35-DRB1*13-DQB1*03:01 | | Mexico Durango Rural | 0.1529 | | 326 |
|
53 | A*02:01-B*35:01-DRB1*13:03-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
54 | A*02:02-B*35:01-DRB1*13:01-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
55 | A*03:01-B*35:01-DRB1*13:03-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
56 | A*03:01-B*35:02-C*04:01-DRB1*13:01-DQB1*03:01 | | Italy pop 5 | 0.1400 | | 975 |
|
57 | A*69-B*35-DRB1*13-DQB1*03:01 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
58 | A*24-B*35-DRB1*13-DQB1*03:01 | | Ecuador Andes Mixed Ancestry | 0.1214 | | 824 |
|
59 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.1205 | | 830 |
|
60 | A*68-B*35-DRB1*13-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.1205 | | 830 |
|
61 | A*24-B*35-DRB1*13-DQB1*03:01 | | Mexico Puebla Rural | 0.1199 | | 833 |
|
62 | A*03-B*35-DRB1*13-DQB1*03:01 | | Mexico Nuevo Leon Rural | 0.1136 | | 439 |
|
63 | A*32:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.1000 | | 4,856 |
|
64 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
65 | A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
66 | A*30:02-B*35:01-C*07:01-DRB1*13:04-DQB1*03:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
67 | A*11-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
68 | A*24-B*35-DRB1*13-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0853 | | 1,173 |
|
69 | A*24-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0838 | | 1,189 |
|
70 | A*01:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0800 | | 4,856 |
|
71 | A*01-B*35-DRB1*13:03-DQA1*05:05-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
72 | A*23-B*35-DRB1*13:05-DQA1*05:05-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
73 | A*32-B*35-DRB1*13:03-DQA1*01:03-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
74 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Mexico City North | 0.0664 | | 751 |
|
75 | A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*06:01 | | Russia Karelia | 0.0560 | | 1,075 |
|
76 | A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*03:01 | | Russia Karelia | 0.0556 | | 1,075 |
|
77 | A*24:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0510 | | 4,856 |
|
78 | A*69:01-B*35:08-C*12:03-DRB1*13:05-DQB1*03:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
79 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0463 | | 23,595 |
|
80 | A*02:01-B*35:01-C*16:01-DRB1*13:03-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
81 | A*30:02-B*35:01-C*04:01-DRB1*13:04-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
82 | A*66:02-B*35:01-C*04:01-DRB1*13:04-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
83 | A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
84 | A*11:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
85 | A*23:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
86 | A*32:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
87 | A*68:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
88 | A*01-B*35-DRB1*13-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
89 | A*02-B*35-DRB1*13-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
90 | A*01-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
91 | A*02-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
92 | A*03-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
93 | A*26-B*35-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
94 | A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01 | | India East UCBB | 0.0416 | | 2,403 |
|
95 | A*03:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0360 | | 4,856 |
|
96 | A*01:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
97 | A*02:22-B*35:31-C*03:04-DRB1*13:05-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
98 | A*23:01-B*35:08-C*04:01-DRB1*13:02-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
99 | A*26:01-B*35:01-C*02:02-DRB1*13:05-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
100 | A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
* 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).