Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11-B*55-DRB1*04-DQB1*03:01 | | Mexico Jalisco, Tlaquepaque | 1.2821 | | 39 |
|
2 | A*32:01-B*55:01-C*03:03-E*01:01:01-F*01:01:01-G*01:06-DRB1*04:07-DQA1*05:01-DQB1*03:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
3 | A*01:01-B*55:01-C*01:02-DRB1*04:04-DQA1*05:01-DQB1*03:01-DPB1*06:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
4 | A*30:01-B*55:01-C*03:03-DRB1*04:01:01-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
5 | A*11:01-B*55:02-C*07:02-DRB1*04:03-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
6 | A*68:01:01-B*55:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
7 | A*11:01-B*55:01-C*03:03-DRB1*04:07-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
8 | A*11:01-B*55:01-C*03:03-DRB1*04:07-DQB1*03:01 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
9 | A*26:01-B*55:01-C*03:03-DRB1*04:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
10 | A*02-B*55-DRB1*04-DQB1*03:01 | | Mexico Jalisco, Guadalajara city | 0.0838 | | 1,189 |
|
11 | A*23-B*55-DRB1*04:06-DQA1*03:02-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
12 | A*02:01-B*55:01-C*03:03-DRB1*04:08-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
13 | A*01:03-B*55:02-C*15:05-DRB1*04:05-DQB1*03:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
14 | A*03:01-B*55:01-C*03:03-DRB1*04:07-DQB1*03:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
15 | A*11:01-B*55:01-C*03:03-DRB1*04:07-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
16 | A*02:01-B*55:01-C*01:02-DRB1*04:07-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0410 | | 4,856 |
|
17 | A*24:02-B*55:01-C*01:02-DRB1*04:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
18 | A*02:01:01:01-B*55:01:01-C*01:02:01-DRB1*04:07:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
19 | A*02:01-B*55:01-C*03:03-DRB1*04:08-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0214 | | 3,456,066 |
|
20 | A*11:01-B*55:01-C*01:02-DRB1*04:04-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
21 | A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0063 | | 23,595 |
|
22 | A*33:03-B*55:01-C*03:02-DRB1*04:08-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
23 | A*02:01:01-B*55:01:01-C*03:03:01-DRB1*04:08-DQB1*03:01:01 | | Poland BMR | 0.0044 | | 23,595 |
|
24 | A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
25 | A*24:02:01-B*55:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0039 | | 23,595 |
|
26 | A*03:01:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0034 | | 23,595 |
|
27 | A*01:01:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0022 | | 23,595 |
|
28 | A*24:02:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
29 | A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:08-DQB1*03:01:01 | | Poland BMR | 0.0020 | | 23,595 |
|
30 | A*02:01:01-B*55:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
31 | A*02:01-B*55:01-C*03:03-DRB1*04:01-DQB1*03:01 | | India South UCBB | 0.0013 | | 11,446 |
|
32 | A*02:01:01-B*55:01:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0003999 | | 23,595 |
|
33 | A*68:01-B*55:01-C*04:01-DRB1*04:08-DQB1*03:01 | | India Tamil Nadu | 0.0000601 | | 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).