Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Karnataka Kannada Speaking | 1.1490 | | 174 |
|
2 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.9490 | | 356 |
|
3 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
4 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.5960 | | 356 |
|
5 | A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
6 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
7 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
8 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
9 | A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
10 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
11 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
12 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
13 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
14 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.1730 | | 1,734 |
|
15 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.1095 | | 1,734 |
|
16 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.0960 | | 28,927 |
|
17 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0897 | | 23,595 |
|
18 | A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0809 | | 1,734 |
|
19 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0691 | | 1,734 |
|
20 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
21 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
22 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0193 | | 23,595 |
|
23 | A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0143 | | 23,595 |
|
24 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0127 | | 23,595 |
|
25 | A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0051 | | 23,595 |
|
26 | A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
27 | A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
28 | A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0017 | | 23,595 |
|
29 | A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0005394 | | 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).