Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | England North West | 0.3000 | | 298 |
|
2 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
3 | A*11:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
4 | A*02:16-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
5 | A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*12:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1325 | | 1,510 |
|
6 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.1162 | | 5,849 |
|
7 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Central UCBB | 0.1070 | | 4,204 |
|
8 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.1000 | | 1,159 |
|
9 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | USA Asian pop 2 | 0.0890 | | 1,772 |
|
10 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.0817 | | 1,075 |
|
11 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.0767 | | 1,075 |
|
12 | A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*12:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0718 | | 1,510 |
|
13 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0622 | | 23,595 |
|
14 | A*11:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0620 | | 1,159 |
|
15 | A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*12:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0607 | | 1,510 |
|
16 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:01 | | Russia Karelia | 0.0590 | | 1,075 |
|
17 | A*11:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.0560 | | 1,075 |
|
18 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0548 | | 23,595 |
|
19 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0478 | | 3,456,066 |
|
20 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0460 | | 4,856 |
|
21 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
22 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
23 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Central UCBB | 0.0238 | | 4,204 |
|
24 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | USA African American pop 4 | 0.0220 | | 2,411 |
|
25 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Tamil Nadu | 0.0213 | | 2,492 |
|
26 | A*11:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
27 | A*26:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
28 | A*02:06-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
29 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0200 | | 3,456,066 |
|
30 | A*32:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.0191 | | 5,849 |
|
31 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:02 | | Germany DKMS - German donors | 0.0190 | | 3,456,066 |
|
32 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.0179 | | 5,849 |
|
33 | A*68:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.0175 | | 5,849 |
|
34 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0162 | | 3,456,066 |
|
35 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0159 | | 11,446 |
|
36 | A*03:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India West UCBB | 0.0128 | | 5,829 |
|
37 | A*68:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
38 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*12:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.0112 | | 221 |
|
39 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:02 | | Germany DKMS - German donors | 0.0101 | | 3,456,066 |
|
40 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
41 | A*24:02-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India West UCBB | 0.0093 | | 5,829 |
|
42 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.0089 | | 5,849 |
|
43 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India West UCBB | 0.0086 | | 5,829 |
|
44 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
45 | A*01:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0078 | | 11,446 |
|
46 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0073 | | 23,595 |
|
47 | A*31:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
48 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0036 | | 23,595 |
|
49 | A*31:01:02-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0032 | | 23,595 |
|
50 | A*02:06-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0032 | | 11,446 |
|
51 | A*32:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0026 | | 23,595 |
|
52 | A*68:01:02-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0025 | | 23,595 |
|
53 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0024 | | 23,595 |
|
54 | A*33:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
55 | A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0010 | | 11,446 |
|
* 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).