Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.4592 | | 28,927 |
|
2 | A*11:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
3 | A*33:03-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
4 | B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
5 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02 | | USA San Diego | 0.2600 | | 496 |
|
6 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | USA NMDP Alaska Native or Aleut | 0.1700 | | 1,376 |
|
7 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
8 | A*29:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Italy pop 5 | 0.1400 | | 975 |
|
9 | A*26:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
10 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
11 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0640 | | 4,856 |
|
12 | A*24:02:01-B*51:01:02-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
13 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | USA Asian pop 2 | 0.0560 | | 1,772 |
|
14 | A*32:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
15 | A*03:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0430 | | 2,492 |
|
16 | A*30:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0410 | | 4,856 |
|
17 | A*02:07:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0384 | | 1,734 |
|
18 | A*11:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0377 | | 2,492 |
|
19 | A*26:17-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
20 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
21 | A*03:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
22 | A*24:02-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0340 | | 4,856 |
|
23 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0311 | | 23,595 |
|
24 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
25 | A*02:06-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
26 | A*24:02-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
27 | A*24:02-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
28 | A*26:03-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
29 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
30 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
31 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:03-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
32 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
33 | A*26:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
34 | A*31:01:02-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
35 | A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0242 | | 3,456,066 |
|
36 | A*11:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0193 | | 1,734 |
|
37 | A*03:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0175 | | 11,446 |
|
38 | A*01:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0170 | | 4,856 |
|
39 | A*24:02-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0142 | | 3,456,066 |
|
40 | A*66:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
41 | A*69:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
42 | A*01:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
43 | A*31:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0096 | | 11,446 |
|
44 | A*26:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0079 | | 23,595 |
|
45 | A*03:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0050 | | 23,595 |
|
46 | A*02:09-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0044 | | 11,446 |
|
47 | A*24:02:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
48 | A*30:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
49 | A*02:11-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0000535 | | 2,492 |
|
* 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).