Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
2 | A*03:01-B*35:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
3 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
4 | A*11:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0674 | | 2,403 |
|
5 | A*03:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0610 | | 4,204 |
|
6 | A*01:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0402 | | 5,849 |
|
7 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0389 | | 5,849 |
|
8 | A*03:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
9 | A*02:06-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0268 | | 5,849 |
|
10 | A*31:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0218 | | 4,204 |
|
11 | A*01:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
12 | A*02:06-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0198 | | 4,204 |
|
13 | A*02:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0160 | | 5,829 |
|
14 | A*24:17-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
15 | A*68:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0104 | | 5,849 |
|
16 | A*11:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0092 | | 5,829 |
|
17 | A*03:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0088 | | 5,849 |
|
18 | A*31:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0087 | | 5,829 |
|
19 | A*03:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0082 | | 5,849 |
|
20 | A*11:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0065 | | 11,446 |
|
21 | A*68:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0064 | | 11,446 |
|
22 | A*32:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0050 | | 11,446 |
|
23 | A*02:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0045 | | 11,446 |
|
24 | A*03:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
25 | A*33:160-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
26 | A*26:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0043 | | 11,446 |
|
27 | A*02:11-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0040 | | 4,204 |
|
28 | A*24:07-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0038 | | 5,849 |
|
29 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0037 | | 5,829 |
|
30 | A*01:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0024 | | 11,446 |
|
31 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0024 | | 2,403 |
|
32 | A*03:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
33 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*25:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0020 | | 23,595 |
|
35 | A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0018 | | 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).