Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01-B*49:01-C*07:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
2 | A*29:02-B*49:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
3 | A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
4 | A*29:01:01:01-B*49:01:01-C*07:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
5 | A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
6 | A*02:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
7 | A*23:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
8 | A*01:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
9 | A*01:02-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
10 | A*02:05-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
11 | A*30:02-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
12 | A*68:02-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
13 | A*33:03:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
14 | A*24:02:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0259 | | 23,595 |
|
15 | A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0125 | | 23,595 |
|
16 | A*24:07-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
17 | A*11:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0114 | | 4,204 |
|
18 | A*02:05:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0107 | | 23,595 |
|
19 | A*01:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0087 | | 11,446 |
|
20 | A*02:11-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
21 | A*33:03-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
22 | A*24:07-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
23 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0077 | | 23,595 |
|
24 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0066 | | 23,595 |
|
25 | A*11:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0066 | | 5,849 |
|
26 | A*11:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0056 | | 23,595 |
|
27 | A*23:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
28 | A*32:01-B*49:01-C*07:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
29 | A*32:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
30 | A*11:01:79-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0016 | | 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).