Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02:01-B*14:01-DRB1*07:01:01 | | Madeira | 1.6000 | | 185 |
|
2 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
3 | A*02:01:01-B*14:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
4 | A*02:01-B*14:01-C*08:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.5000 | | 298 |
|
5 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
6 | A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
7 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQA1*01:02:02-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
8 | A*43:01-B*14:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
9 | A*43:01-B*14:01:01-C*08:04:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*131:01 | | South African Black | 0.3520 | | 142 |
|
10 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*06:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
11 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
12 | A*03:01:01-B*14:01:01-C*18:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:08-DPB1*03:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
13 | A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
14 | A*11:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
15 | A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
16 | A*32:01-B*14:01-C*08:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
17 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
18 | A*11:01:01-B*14:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
19 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
20 | A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*05:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
21 | A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0749 | | 23,595 |
|
22 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0573 | | 23,595 |
|
23 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0378 | | 23,595 |
|
24 | A*01:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0310 | | 23,595 |
|
25 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0048 | | 23,595 |
|
26 | A*32:01:01-B*14:01:01-C*08:12-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
27 | A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
28 | A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0025 | | 23,595 |
|
29 | A*23:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0025 | | 23,595 |
|
30 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
31 | A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
32 | A*01:01:01-B*14:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
33 | A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*03:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
35 | A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
36 | A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*05:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0014 | | 23,595 |
|
39 | A*03:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0011 | | 23,595 |
|
40 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0001596 | | 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).