Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 2.1268 | | 1,075 |
|
2 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 1.9949 | | 3,456,066 |
|
3 | A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01 | | South African Black | 1.7610 | | 142 |
|
4 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Ireland South | 1.4000 | | 250 |
|
5 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | USA San Diego | 1.0420 | | 496 |
|
6 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | South Africa Worcester | 1.0000 | | 159 |
|
7 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.9375 | | 405 |
|
8 | A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
9 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
10 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
11 | A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
12 | A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
13 | A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 0.2360 | | 1,075 |
|
14 | A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.1956 | | 3,456,066 |
|
15 | A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
16 | A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Panama | 0.1900 | | 462 |
|
17 | A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 0.1388 | | 1,075 |
|
18 | A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 0.1245 | | 1,075 |
|
19 | A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0837 | | 3,456,066 |
|
20 | A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0616 | | 3,456,066 |
|
21 | A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 0.0581 | | 1,075 |
|
22 | A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0441 | | 3,456,066 |
|
23 | A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0363 | | 3,456,066 |
|
24 | A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0328 | | 3,456,066 |
|
25 | A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0306 | | 3,456,066 |
|
26 | A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0164 | | 3,456,066 |
|
27 | A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0163 | | 3,456,066 |
|
28 | A*02:06-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0152 | | 3,456,066 |
|
* 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).