Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*31:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
2 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.1109 | | 2,492 |
|
3 | A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0847 | | 2,492 |
|
4 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India East UCBB | 0.0842 | | 2,403 |
|
5 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
6 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
7 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
8 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
9 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0683 | | 11,446 |
|
10 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0655 | | 2,492 |
|
11 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0602 | | 2,492 |
|
12 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India East UCBB | 0.0416 | | 2,403 |
|
13 | A*02:06-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0391 | | 5,849 |
|
14 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
15 | A*01:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
16 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0314 | | 4,204 |
|
17 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0290 | | 11,446 |
|
18 | A*32:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
19 | A*69:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
20 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0281 | | 4,204 |
|
21 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0273 | | 11,446 |
|
22 | A*02:06-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0242 | | 4,204 |
|
23 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0228 | | 2,492 |
|
24 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0210 | | 5,849 |
|
25 | A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0208 | | 5,849 |
|
26 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0185 | | 5,829 |
|
27 | A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0172 | | 5,829 |
|
28 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0159 | | 5,829 |
|
29 | A*01:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0135 | | 23,595 |
|
30 | A*02:09-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0131 | | 11,446 |
|
31 | A*11:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0119 | | 23,595 |
|
32 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.0110 | | 4,856 |
|
33 | A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0105 | | 5,829 |
|
34 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
35 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0089 | | 5,829 |
|
36 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0088 | | 5,829 |
|
37 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0088 | | 5,849 |
|
38 | A*29:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 0.0086 | | 5,829 |
|
39 | A*03:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
40 | A*30:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
41 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0084 | | 11,446 |
|
42 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0071 | | 11,446 |
|
43 | A*02:03-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
44 | A*03:56-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
45 | A*31:12-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
46 | A*24:02:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0040 | | 23,595 |
|
47 | A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0030 | | 11,446 |
|
48 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0021 | | 4,204 |
|
49 | A*03:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0015 | | 23,595 |
|
50 | A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0012 | | 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).