Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*26:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
2 | A*03:01-B*51:01-C*15:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*05:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
3 | A*31:01-B*51:01-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 0.3333 | | 150 |
|
4 | A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.2900 | | 975 |
|
5 | A*33:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
6 | A*02:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
7 | A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
8 | A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
9 | A*24:02:01-B*51:01:01-C*15:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
10 | A*33:03-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0258 | | 5,829 |
|
11 | A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0219 | | 11,446 |
|
12 | A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
13 | A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0176 | | 5,849 |
|
14 | A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0151 | | 5,849 |
|
15 | A*25:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0144 | | 23,595 |
|
16 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0144 | | 23,595 |
|
17 | A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0121 | | 11,446 |
|
18 | A*31:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0121 | | 4,204 |
|
19 | A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
20 | A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
21 | A*33:03-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0097 | | 11,446 |
|
22 | A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
23 | A*24:07-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
24 | A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0055 | | 11,446 |
|
25 | A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0054 | | 11,446 |
|
26 | A*02:06-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0045 | | 11,446 |
|
27 | A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0044 | | 23,595 |
|
28 | A*11:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0035 | | 23,595 |
|
29 | A*23:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
30 | A*01:01:01-B*51:01:19-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
31 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0002252 | | 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).