Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Hidalgo, Pachuca | 2.4390 | | 41 |
|
2 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Chiapas, Tuxtla Gutierrez | 0.9434 | | 52 |
|
3 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Coahuila Rural | 0.9174 | | 216 |
|
4 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:10-DQB1*03:01 | | Brazil Puyanawa | 0.6667 | | 150 |
|
5 | A*02:01-B*40:02-DRB1*11:04-DQB1*03:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
6 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Sinaloa, Culiacán | 0.4854 | | 103 |
|
7 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
8 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:05-DQB1*03:01 | | Brazil Puyanawa | 0.3333 | | 150 |
|
9 | A*02:06:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
10 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
11 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Durango, Durango city | 0.3226 | | 153 |
|
12 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Sinaloa Rural | 0.2732 | | 183 |
|
13 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Nuevo Leon, Monterrey city | 0.2212 | | 226 |
|
14 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
15 | A*02:11-B*40:02-C*14:02-DRB1*11:08-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
16 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.1468 | | 23,595 |
|
17 | A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.1349 | | 1,734 |
|
18 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
19 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Ecuador Andes Mixed Ancestry | 0.1214 | | 824 |
|
20 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Nuevo Leon Rural | 0.1136 | | 439 |
|
21 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.1000 | | 4,856 |
|
22 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.0853 | | 1,173 |
|
23 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
24 | A*02:01-B*40:02-C*03:04-DRB1*11:06-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02 | | Japan pop 17 | 0.0700 | | 3,078 |
|
25 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
26 | A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0675 | | 1,510 |
|
27 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0668 | | 3,456,066 |
|
28 | A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
29 | A*02:01-B*40:02-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01 | | Russia Karelia | 0.0606 | | 1,075 |
|
30 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
31 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
32 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
33 | A*02:01-B*40:02-C*02:02-DRB1*11:04-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
34 | A*02:01-B*40:02-C*03:03-DRB1*11:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
35 | A*02:01-B*40:02-C*03:04-DRB1*11:04-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
36 | A*02:01-B*40:02-C*02:02-DRB1*11:04-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
37 | A*02:01:01:01-B*40:02:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0337 | | 1,510 |
|
38 | A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
39 | A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
40 | A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
41 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02 | | Germany DKMS - German donors | 0.0276 | | 3,456,066 |
|
42 | A*02-B*40:02-DRB1*11-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
43 | A*02:17-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
44 | A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0153 | | 3,456,066 |
|
45 | A*02:01-B*40:02-C*07:01-DRB1*11:04-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
46 | A*02:11-B*40:02-C*03:03-DRB1*11:06-DQB1*03:01 | | India West UCBB | 0.0086 | | 5,829 |
|
47 | A*02:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0070 | | 23,595 |
|
48 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0039 | | 23,595 |
|
49 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0035 | | 23,595 |
|
50 | A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0032 | | 23,595 |
|
51 | A*02:05:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
52 | A*02:125N-B*40:02:01-C*02:02:02-DRB1*11:01:01-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).