Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Jalisco, Zapopan | 2.9762 | | 168 |
|
2 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Mexico City West | 2.9412 | | 33 |
|
3 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
4 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Campeche Rural | 2.1277 | | 47 |
|
5 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
6 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Baja Californa, Mexicali | 2.0000 | | 100 |
|
7 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico San Luis Potosi, San Luis Potosi city | 1.6667 | | 30 |
|
8 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Guanajuato Rural | 1.5337 | | 162 |
|
9 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Sonora, Hermosillo | 1.5152 | | 99 |
|
10 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Jalisco, Tonala | 1.4286 | | 35 |
|
11 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Mexico City East | 1.2500 | | 79 |
|
12 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
13 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico San Luis Potosi Rural | 1.1494 | | 87 |
|
14 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Colima Rural | 1.1364 | | 43 |
|
15 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Veracruz, Poza Rica | 1.1111 | | 45 |
|
16 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Queretaro, Queretaro city | 1.1111 | | 45 |
|
17 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Nayarit, Tepic | 1.0309 | | 97 |
|
18 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Michoacan Rural | 1.0029 | | 348 |
|
19 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Mexico City Center | 0.9740 | | 152 |
|
20 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Jalisco, Guadalajara city | 0.9631 | | 1,189 |
|
21 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:02 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
22 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Chihuahua, Ciudad Juarez | 0.9259 | | 106 |
|
23 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Veracruz, Orizaba | 0.8333 | | 60 |
|
24 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Colima, Colima city | 0.8197 | | 61 |
|
25 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Veracruz, Xalapa | 0.8021 | | 187 |
|
26 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Yucatan, Merida | 0.7692 | | 192 |
|
27 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Veracruz Rural | 0.7394 | | 539 |
|
28 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | Mexico Mexico City Mestizo population | 0.6993 | | 143 |
|
29 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02 | | Nicaragua Managua | 0.6494 | | 339 |
|
30 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.5801 | | 1,463 |
|
31 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Zacatecas Rural | 0.5576 | | 266 |
|
32 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02 | | USA San Diego | 0.5210 | | 496 |
|
33 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
34 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | Italy pop 5 | 0.4400 | | 975 |
|
35 | A*68:02:01-B*14:02:01-C*04:01:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*02:01:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
36 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Chihuahua Chihuahua City | 0.4202 | | 119 |
|
37 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Chiapas Rural | 0.4132 | | 121 |
|
38 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Sonora, Ciudad Obregón | 0.3497 | | 143 |
|
39 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Guerrero state | 0.3472 | | 144 |
|
40 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Jalisco Rural | 0.3413 | | 585 |
|
41 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Mexico City North | 0.3320 | | 751 |
|
42 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Michoacan, Morelia | 0.3311 | | 150 |
|
43 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Mexico City Metropolitan Area Rural | 0.3289 | | 150 |
|
44 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | USA Hispanic pop 2 | 0.3270 | | 1,999 |
|
45 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Durango Rural | 0.3058 | | 326 |
|
46 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Tlaxcala Rural | 0.3012 | | 830 |
|
47 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Puebla, Puebla city | 0.3006 | | 1,994 |
|
48 | A*68-B*14:02-DRB1*01-DQB1*05 | | Ecuador Mixed Ancestry | 0.2984 | | 1,173 |
|
49 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Sinaloa Rural | 0.2732 | | 183 |
|
50 | A*68:02:01:01-B*14:02:01-C*05:01:01:02-DRB1*01:02:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
51 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Sonora Rural | 0.2538 | | 197 |
|
52 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Nuevo Leon Rural | 0.2273 | | 439 |
|
53 | A*68-B*14:02-DRB1*01-DQB1*05 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
54 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.2050 | | 4,335 |
|
55 | A*68:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02 | | Panama | 0.1900 | | 462 |
|
56 | A*68-B*14:02-DRB1*01-DQB1*05 | | Ecuador Andes Mixed Ancestry | 0.1820 | | 824 |
|
57 | A*68:01-B*14:02-DRB1*01:02-DQB1*05:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
58 | A*68:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | Italy pop 5 | 0.1400 | | 975 |
|
59 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | USA NMDP American Indian South or Central America | 0.1315 | | 5,926 |
|
60 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Oaxaca Rural | 0.1027 | | 485 |
|
61 | A*68-B*14:02-DRB1*01-DQB1*05 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
62 | A*68:02-B*14:02-C*08:02-DRB1*01:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
63 | A*68:02-B*14:02-C*08:02-DRB1*01:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
64 | A*68:02:01:01-B*14:02:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
65 | A*68:01-B*14:02-C*02:02-DRB1*01:02-DQB1*05:01 | | USA Hispanic pop 2 | 0.0310 | | 1,999 |
|
66 | A*68:02-B*14:02-C*07:01-DRB1*01:02-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
67 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01 | | Poland BMR | 0.0158 | | 23,595 |
|
68 | A*68:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
69 | A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
70 | A*68:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01 | | Poland BMR | 0.0058 | | 23,595 |
|
71 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
72 | A*68:01:02-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01 | | Poland BMR | 0.0013 | | 23,595 |
|
* 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).