Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 3.1035 | | 186 |
|
2 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 2.0680 | | 356 |
|
3 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 2.0110 | | 174 |
|
4 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Spain, Canary Islands, Gran canaria island | 1.1600 | | 215 |
|
5 | A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 1.0944 | | 186 |
|
6 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
7 | A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.7956 | | 23,595 |
|
8 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.7315 | | 23,595 |
|
9 | A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.7043 | | 1,510 |
|
10 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 0.5980 | | 186 |
|
11 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
12 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 0.5750 | | 174 |
|
13 | A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.5433 | | 1,510 |
|
14 | A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
15 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Vietnam Kinh | 0.4950 | | 101 |
|
16 | A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.4550 | | 356 |
|
17 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
18 | A*03:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*09:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
19 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
20 | A*02:11:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
21 | A*24:11N-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
22 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
23 | A*25:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.1716 | | 23,595 |
|
24 | A*32:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1450 | | 356 |
|
25 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.1442 | | 1,734 |
|
26 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.1442 | | 1,734 |
|
27 | A*02:05:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
28 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
29 | A*31:01:02:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.1292 | | 1,510 |
|
30 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.1166 | | 23,595 |
|
31 | A*03:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.1058 | | 1,510 |
|
32 | A*24:02:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
33 | A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0989 | | 23,595 |
|
34 | A*33:03:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
35 | A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0785 | | 1,734 |
|
36 | A*32:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0737 | | 23,595 |
|
37 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0723 | | 23,595 |
|
38 | A*02:01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
39 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
40 | A*11:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
41 | A*03:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0570 | | 23,595 |
|
42 | A*11:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0383 | | 1,510 |
|
43 | A*03:01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
44 | A*32:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
45 | A*68:01:02:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
46 | A*69:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
47 | A*02:07:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0315 | | 1,734 |
|
48 | A*31:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0158 | | 23,595 |
|
49 | A*68:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0102 | | 23,595 |
|
50 | A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0054 | | 1,734 |
|
51 | A*68:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0052 | | 23,595 |
|
52 | A*23:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0027 | | 23,595 |
|
53 | A*33:03:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0024 | | 23,595 |
|
54 | A*29:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0023 | | 23,595 |
|
55 | A*30:04:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0022 | | 23,595 |
|
56 | A*02:01:02-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
57 | A*68:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0020 | | 23,595 |
|
58 | A*26:08-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0013 | | 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).