Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01-B*57-C*06-DRB1*15-DQB1*06 | | Sudan Khartoum | 1.0200 | | 98 |
|
2 | A*02-B*57-C*06-DRB1*15-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
3 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Northeast UCBB | 0.3378 | | 296 |
|
4 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:02:02-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
5 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*15:02:01-DQB1*05:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
6 | A*03:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
7 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.2465 | | 2,403 |
|
8 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.2255 | | 2,492 |
|
9 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
10 | A*24:02-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
11 | A*68:01-B*57:01-C*06:02-DRB1*15:01-DQB1*02:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
12 | A*01-B*57-C*06-DRB1*15 | | Macedonia | 0.1748 | | 286 |
|
13 | A*02:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.1730 | | 1,159 |
|
14 | A*02:11-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
15 | A*03:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
16 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.1631 | | 5,849 |
|
17 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.1426 | | 5,829 |
|
18 | A*33:03-B*57:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
19 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
20 | A*31:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Italy pop 5 | 0.1400 | | 975 |
|
21 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*05:02 | | Colombia Bogotá Cord Blood | 0.1367 | | 1,463 |
|
22 | A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.1348 | | 1,510 |
|
23 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.1334 | | 11,446 |
|
24 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
25 | A*02:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
26 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Spain minority | 0.1100 | | 1,107 |
|
27 | A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.1069 | | 5,849 |
|
28 | A*31:01-B*57:01-C*06:02-DRB1*15:01 | | Italy pop 5 | 0.1000 | | 975 |
|
29 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0997 | | 11,446 |
|
30 | A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0791 | | 4,204 |
|
31 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Austria minority | 0.0780 | | 1,698 |
|
32 | A*01-B*57-C*06-DRB1*15 | | Macedonia MBMDR - Macedonian | 0.0779 | | 1,283 |
|
33 | A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0772 | | 5,829 |
|
34 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0744 | | 5,829 |
|
35 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Croatia minority | 0.0730 | | 2,057 |
|
36 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
37 | A*02:11-B*57:01-C*06:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
38 | A*26:01-B*57:01-C*06:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*26:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
39 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Netherlands minority | 0.0700 | | 1,374 |
|
40 | A*11:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.0640 | | 5,829 |
|
41 | A*24:02-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.0599 | | 2,403 |
|
42 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0598 | | 4,204 |
|
43 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0593 | | 23,595 |
|
44 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Russia Karelia | 0.0582 | | 1,075 |
|
45 | A*33:03-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0553 | | 4,204 |
|
46 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0531 | | 3,456,066 |
|
47 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Greece minority | 0.0530 | | 1,894 |
|
48 | A*24:02-B*57:01-C*06:02-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
49 | A*32:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0522 | | 5,829 |
|
50 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Central UCBB | 0.0505 | | 4,204 |
|
51 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
52 | A*02:01-B*57:01-C*06:02-DRB1*15:02 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
53 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0475 | | 2,492 |
|
54 | A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*05:03 | | India South UCBB | 0.0464 | | 11,446 |
|
55 | A*68:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.0446 | | 2,403 |
|
56 | A*02:06-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
57 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Romania minority | 0.0430 | | 1,234 |
|
58 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
59 | A*24:11N-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 0.0416 | | 2,403 |
|
60 | A*02:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0412 | | 23,595 |
|
61 | A*02:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0409 | | 2,492 |
|
62 | A*68:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
63 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India North UCBB | 0.0386 | | 5,849 |
|
64 | A*01:01-B*57:01-C*06:02-DRB1*15:01 | | Poland DKMS | 0.0375 | | 20,653 |
|
65 | A*11:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
66 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0358 | | 5,849 |
|
67 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
68 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
69 | A*23:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
70 | A*68:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
71 | A*01-B*57-C*06-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0339 | | 1,743 |
|
72 | A*03:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.0338 | | 5,849 |
|
73 | A*11:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0331 | | 2,492 |
|
74 | A*01:01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
75 | A*25:01:01-B*57:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
76 | A*68:01:02:01-B*57:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
77 | A*11-B*57-C*06-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
78 | A*25-B*57-C*06-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
79 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0311 | | 11,446 |
|
80 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0310 | | 4,856 |
|
81 | A*02:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0307 | | 3,456,066 |
|
82 | A*01-B*57-C*06-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.0300 | | 4,510 |
|
83 | A*24:02-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0267 | | 4,204 |
|
84 | A*02:01-B*57:01-C*06:02-DRB1*15:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
85 | A*24:02-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Central UCBB | 0.0260 | | 4,204 |
|
86 | A*11:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.0246 | | 2,403 |
|
87 | A*24:02-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0246 | | 11,446 |
|
88 | A*32:01-B*57:01-C*06:02-DRB1*15:02-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
89 | A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0232 | | 2,492 |
|
90 | A*68:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.0232 | | 5,829 |
|
91 | A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0215 | | 2,403 |
|
92 | A*11:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.0212 | | 5,849 |
|
93 | A*02:01-B*57:01-C*06:02-DRB1*15:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
94 | A*26:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
95 | A*01:01-B*57:01-C*06:02-DRB1*15:149-DQB1*06:03 | | India East UCBB | 0.0208 | | 2,403 |
|
96 | A*01:01-B*57:01-C*06:27-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.0208 | | 2,403 |
|
97 | A*24:02-B*57:01-C*06:02-DRB1*15:01-DQB1*06:03 | | India East UCBB | 0.0208 | | 2,403 |
|
98 | A*24:02-B*57:01-C*06:02-DRB1*15:04-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
99 | A*26:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 0.0208 | | 2,403 |
|
100 | A*26:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0208 | | 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).