Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
2 | A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01 | | England North West | 1.0000 | | 298 |
|
3 | A*01-B*37-C*06:02-DRB1*15:01-DQB1*06 | | Russia Transbaikal Territory Buryats | 1.0000 | | 150 |
|
4 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*15:01-DQB1*06:02 | | Costa Rica Central Valley Mestizo (G) | 0.4525 | | 221 |
|
5 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02 | | Kosovo | 0.4030 | | 124 |
|
6 | A*11:01-B*37:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01 | | Sri Lanka Colombo | 0.2801 | | 714 |
|
7 | A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
8 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
9 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | USA NMDP Alaska Native or Aleut | 0.1834 | | 1,376 |
|
10 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | USA NMDP American Indian South or Central America | 0.1477 | | 5,926 |
|
11 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.1306 | | 23,595 |
|
12 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.1091 | | 5,829 |
|
13 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0802 | | 4,204 |
|
14 | A*02:06-B*37:01-C*06:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
15 | A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0666 | | 1,510 |
|
16 | A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
17 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0647 | | 5,849 |
|
18 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:02 | | Russia Karelia | 0.0564 | | 1,075 |
|
19 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0520 | | 4,856 |
|
20 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India East UCBB | 0.0502 | | 2,403 |
|
21 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0490 | | 2,492 |
|
22 | A*33:03-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
23 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0448 | | 3,456,066 |
|
24 | A*01:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
25 | A*11:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
26 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 0.0421 | | 2,403 |
|
27 | A*24:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0388 | | 4,204 |
|
28 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0384 | | 11,446 |
|
29 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
30 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
31 | A*02:01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
32 | A*25:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
33 | A*02:06-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0213 | | 5,829 |
|
34 | A*24:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India East UCBB | 0.0208 | | 2,403 |
|
35 | A*68:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 0.0208 | | 2,403 |
|
36 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:02 | | Germany DKMS - German donors | 0.0207 | | 3,456,066 |
|
37 | A*03:12-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
38 | A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0192 | | 3,456,066 |
|
39 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0191 | | 23,595 |
|
40 | A*02:11-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0158 | | 5,829 |
|
41 | A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India West UCBB | 0.0141 | | 5,829 |
|
42 | A*11:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
43 | A*26:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0093 | | 23,595 |
|
44 | A*26:01-B*37:04-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
45 | A*31:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
46 | A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0083 | | 11,446 |
|
47 | A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:289 | | India South UCBB | 0.0071 | | 11,446 |
|
48 | A*68:01:02-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0065 | | 23,595 |
|
49 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0055 | | 23,595 |
|
50 | A*25:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0045 | | 23,595 |
|
51 | A*01:01-B*37:51-C*06:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
52 | A*24:33-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
53 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0022 | | 23,595 |
|
54 | A*02:06-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0011 | | 5,849 |
|
* 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).