Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
2 | A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:07-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
3 | A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Italy pop 5 | 0.2900 | | 975 |
|
4 | A*25:01-B*18:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
5 | A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1325 | | 1,510 |
|
6 | A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
7 | A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.1025 | | 1,463 |
|
8 | A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.1025 | | 1,463 |
|
9 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0952 | | 23,595 |
|
10 | A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
11 | A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
12 | A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
13 | A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.0480 | | 1,159 |
|
14 | A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
15 | A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
16 | A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
17 | A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India Central UCBB | 0.0247 | | 4,204 |
|
18 | A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | USA Hispanic pop 2 | 0.0230 | | 1,999 |
|
19 | A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | USA Hispanic pop 2 | 0.0230 | | 1,999 |
|
20 | A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0207 | | 2,492 |
|
21 | A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0180 | | 4,856 |
|
22 | A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0150 | | 3,456,066 |
|
23 | A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0131 | | 5,849 |
|
24 | A*32:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0102 | | 5,849 |
|
25 | A*03:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0090 | | 23,595 |
|
26 | A*29:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
27 | A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0085 | | 23,595 |
|
28 | A*01:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0068 | | 23,595 |
|
29 | A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
30 | A*02:06-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
31 | A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
32 | A*02:17:02-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
33 | A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0028 | | 23,595 |
|
34 | A*11:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0026 | | 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).