Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02-B*40:01-C*07:05-DRB1*15:07-DQB1*06:01 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
2 | DRB1*15:07-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
3 | DRB1*15:07-DQB1*06:02 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
4 | DRB1*15:07-DQB1*06:02-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
5 | A*02:01:01-B*55:01:01-C*16:01:01-DRB1*15:07:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
6 | A*11:01-B*15:02-C*08:01-DRB1*15:07-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
7 | DRB1*15:07-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
8 | A*02:01-B*51:01-C*14:02-DRB1*15:07-DQB1*06:02 | | India East UCBB | 0.0208 | | 2,403 |
|
9 | A*02:03-B*38:02-C*07:02-DRB1*15:07-DQB1*06:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
10 | A*01-B*08-DRB1*15:07 | | Chile Santiago | 0.0181 | | 920 |
|
11 | A*03-B*40-DRB1*15:07 | | Chile Santiago | 0.0181 | | 920 |
|
12 | A*25-B*18-DRB1*15:07 | | Chile Santiago | 0.0181 | | 920 |
|
13 | A*29-B*07-DRB1*15:07 | | Chile Santiago | 0.0181 | | 920 |
|
14 | A*29:01-B*13:01-C*04:03-DRB1*15:07-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
15 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:07:01-DQB1*06:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
16 | DRB1*15:07-DQA1*01:03-DQB1*06:03-DPA1*02:01-DPB1*09:01 | | Pakistan Mixed Punjabi | 0.0026 | | 389 |
|
17 | DRB1*15:07-DQA1*01:03-DQB1*06:03-DPA1*04:01-DPB1*04:02 | | Pakistan Mixed Punjabi | 0.0026 | | 389 |
|
18 | DRB1*15:07-DQA1*05:05-DQB1*06:01-DPA1*02:01-DPB1*13:01 | | Pakistan Mixed Punjabi | 0.0026 | | 389 |
|
19 | A*01:01-B*51:01-C*15:02-DRB1*15:07 | | Poland DKMS | 0.0024 | | 20,653 |
|
20 | A*11:01-B*35:01-C*04:01-DRB1*15:07 | | Poland DKMS | 0.0024 | | 20,653 |
|
21 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:07:01-DQB1*05:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
22 | A*31:01:02-B*15:08:01-C*01:02:01-DRB1*15:07:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
23 | DRB1*15:07-DQA1*01:02-DQB1*06:01-DPA1*04:01-DPB1*28:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
24 | DRB1*15:07-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
25 | DRB1*15:07-DQA1*01:02-DQB1*06:05-DPA1*01:03-DPB1*04:02 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
26 | DRB1*15:07-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
27 | DRB1*15:07-DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
28 | DRB1*15:07-DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*14:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
29 | DRB1*15:07-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
30 | DRB1*15:07-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
31 | DRB1*15:07-DQA1*01:03-DQB1*06:03-DPA1*02:07-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
32 | DRB1*15:07-DQA1*05:05-DQB1*05:02-DPA1*02:01-DPB1*14:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
33 | DRB1*15:07-DQA1*05:05-DQB1*06:01-DPA1*02:01-DPB1*09:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
34 | DRB1*15:07-DQA1*05:05-DQB1*06:01-DPA1*02:07-DPB1*14:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
35 | DRB1*15:07-DQA1*05:05-DQB1*06:02-DPA1*02:01-DPB1*13:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
* 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).