Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
2 | A*30-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Colima, Colima city | 0.8197 | | 61 |
|
3 | A*24-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Oaxaca, Oaxaca city | 0.6623 | | 151 |
|
4 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Morelos, Cuernavaca | 0.6098 | | 82 |
|
5 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:01 | | USA San Diego | 0.5210 | | 496 |
|
6 | A*02-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
7 | A*74-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
8 | A*68:02-B*14:02-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:03:01-DQA1*05:05-DQB1*03:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
9 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
10 | B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
11 | A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
12 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
13 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.2823 | | 1,075 |
|
14 | A*33-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Coahuila Rural | 0.2294 | | 216 |
|
15 | A*33-B*14:02-DRB1*13-DQB1*03:01 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
16 | A*68:02-B*14:02:01-C*08:02-DRB1*13:03:01-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
17 | A*68:02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1987 | | 1,510 |
|
18 | A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
19 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | USA NMDP American Indian South or Central America | 0.1841 | | 5,926 |
|
20 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.1758 | | 23,595 |
|
21 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.1743 | | 3,456,066 |
|
22 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Durango Rural | 0.1529 | | 326 |
|
23 | A*03-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
24 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
25 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
26 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Puebla Rural | 0.1199 | | 833 |
|
27 | A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
28 | A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
29 | A*02-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
30 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
31 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
32 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0683 | | 3,456,066 |
|
33 | A*02-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Mexico City North | 0.0664 | | 751 |
|
34 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Mexico City North | 0.0664 | | 751 |
|
35 | A*24-B*14:02-DRB1*13-DQB1*03:01 | | Ecuador Andes Mixed Ancestry | 0.0607 | | 824 |
|
36 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.0602 | | 830 |
|
37 | A*24-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
38 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*09:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
39 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*05:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
40 | A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.0564 | | 1,075 |
|
41 | A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*14:01 | | Russia Karelia | 0.0557 | | 1,075 |
|
42 | A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
43 | A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0431 | | 23,595 |
|
44 | A*24-B*14:02-DRB1*13-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
45 | A*33-B*14:02-DRB1*13-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
46 | A*01-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
47 | A*33-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
48 | A*68-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
49 | A*02:05-B*14:02-C*07:04-DRB1*13:02-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
50 | A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
51 | A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
52 | A*32:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
53 | A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
54 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
55 | A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
56 | A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
57 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0310 | | 4,856 |
|
58 | A*24-B*14:02-DRB1*13-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
59 | A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0230 | | 1,999 |
|
60 | A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0124 | | 3,456,066 |
|
61 | A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0114 | | 3,456,066 |
|
62 | A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0113 | | 23,595 |
|
63 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0110 | | 3,456,066 |
|
64 | A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
65 | A*32:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0085 | | 23,595 |
|
66 | A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0045 | | 23,595 |
|
67 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0045 | | 23,595 |
|
68 | A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
69 | A*29:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
70 | A*26:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
71 | A*30:01:01-B*14:02:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
72 | A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
73 | A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
74 | A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 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).