Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Iran Gorgan | 1.5600 | | 64 |
|
2 | A*02:50-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Iran Gorgan | 0.7800 | | 64 |
|
3 | A*02:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
4 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
5 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
6 | A*36:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
7 | A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | USA Hispanic pop 2 | 0.1800 | | 1,999 |
|
8 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | USA Hispanic pop 2 | 0.1430 | | 1,999 |
|
9 | A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
10 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0880 | | 4,856 |
|
11 | A*74:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
12 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
13 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0850 | | 4,856 |
|
14 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0741 | | 5,849 |
|
15 | A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0720 | | 4,856 |
|
16 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0709 | | 1,510 |
|
17 | A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
18 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0615 | | 5,829 |
|
19 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | | Russia Karelia | 0.0565 | | 1,075 |
|
20 | A*29:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | | Russia Karelia | 0.0561 | | 1,075 |
|
21 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0557 | | 2,492 |
|
22 | A*68:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
23 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0405 | | 5,849 |
|
24 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
25 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Germany DKMS - German donors | 0.0370 | | 3,456,066 |
|
26 | A*02:04-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
27 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
28 | A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
29 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
30 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
31 | A*30:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
32 | A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
33 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0333 | | 23,595 |
|
34 | A*31:01:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
35 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0300 | | 4,856 |
|
36 | A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0292 | | 5,829 |
|
37 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0253 | | 5,829 |
|
38 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0237 | | 3,456,066 |
|
39 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India East UCBB | 0.0227 | | 2,403 |
|
40 | A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0221 | | 11,446 |
|
41 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0220 | | 4,856 |
|
42 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Central UCBB | 0.0220 | | 4,204 |
|
43 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0211 | | 23,595 |
|
44 | A*03:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India East UCBB | 0.0208 | | 2,403 |
|
45 | A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India East UCBB | 0.0208 | | 2,403 |
|
46 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0204 | | 11,446 |
|
47 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0201 | | 5,849 |
|
48 | A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
49 | A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0173 | | 5,829 |
|
50 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0166 | | 23,595 |
|
51 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0140 | | 5,829 |
|
52 | A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0132 | | 11,446 |
|
53 | A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
54 | A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0116 | | 5,849 |
|
55 | A*33:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
56 | A*80:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
57 | A*02:05-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
58 | A*02:07-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
59 | A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0093 | | 5,849 |
|
60 | A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0088 | | 5,829 |
|
61 | A*24:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0086 | | 5,829 |
|
62 | A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0086 | | 5,829 |
|
63 | A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0078 | | 11,446 |
|
64 | A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0076 | | 11,446 |
|
65 | A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0073 | | 11,446 |
|
66 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0062 | | 23,595 |
|
67 | A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0052 | | 23,595 |
|
68 | A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0044 | | 11,446 |
|
69 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0028 | | 23,595 |
|
70 | A*03:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0022 | | 23,595 |
|
71 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0018 | | 23,595 |
|
72 | A*02:17:02-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0012 | | 23,595 |
|
73 | A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0007400 | | 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).