Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24-B*40:02-DRB1*07-DQB1*02 | | Mexico Guerrero state | 2.4306 | | 144 |
|
2 | A*33-B*40:02-DRB1*07-DQB1*02 | | Mexico Sinaloa Rural | 0.2732 | | 183 |
|
3 | A*02:02-B*40:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
4 | A*31:01-B*40:02-DRB1*07:01-DQB1*02:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
5 | A*02-B*40:02-DRB1*07-DQB1*02 | | Mexico Puebla Rural | 0.1199 | | 833 |
|
6 | A*32:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
7 | A*02-B*40:02-DRB1*07-DQB1*02 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
8 | A*32-B*40:02-DRB1*07-DQB1*02 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
9 | A*24:02-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01-DPB1*13:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
10 | A*24:02-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
11 | A*02:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
12 | A*31:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
13 | A*03:02-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
14 | A*02:11-B*40:02-C*04:01-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
15 | A*24:02:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0172 | | 23,595 |
|
16 | A*32:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0171 | | 5,849 |
|
17 | A*02:11-B*40:02-C*03:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0137 | | 5,849 |
|
18 | A*32:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0134 | | 4,204 |
|
19 | A*01:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
20 | A*03:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
21 | A*32:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
22 | A*69:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
23 | A*24:07-B*40:02-C*14:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0087 | | 11,446 |
|
24 | A*01:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
25 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0072 | | 23,595 |
|
26 | A*32:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0064 | | 23,595 |
|
27 | A*24:02-B*40:02-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
28 | A*11:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
29 | A*68:01:02-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
30 | A*24:02-B*40:02-C*03:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0034 | | 5,849 |
|
31 | A*24:02:01-B*40:02:01-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
32 | A*31:01:02-B*40:02:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
33 | A*26:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*01:01-B*40:02-C*15:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0000057 | | 2,492 |
|
* 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).