Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*33:03-B*52:01-DRB1*07:01 | | Malaysia Patani | 2.0000 | | 25 |
|
2 | A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01 | | Iran Gorgan | 0.7800 | | 64 |
|
3 | A*03:01-B*52:01-C*12:02-DRB1*07:01 | | Russia Bering Island Aleuts | 0.4808 | | 104 |
|
4 | A*02:01:01-B*52:01:02-C*03:04:01-DRB1*07:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
5 | A*01:01:01-B*52:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
6 | A*11:01:01-B*52:01:01-C*04:01:01-DRB1*07:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
7 | A*68:01:02-B*52:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
8 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
9 | A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
10 | A*01:03-B*52:01-DRB1*07:01 | | Israel YemenJews | 0.2290 | | 15,542 |
|
11 | A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.2288 | | 1,510 |
|
12 | A*02:01-B*52:01-C*03:03-DRB1*07:01-DQA1*05:01-DQB1*03:02-DPB1*04:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
13 | A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
14 | A*01:01-B*52:01-DRB1*07:01 | | Israel Tunisia Jews | 0.1660 | | 9,070 |
|
15 | A*24:02-B*52:01-DRB1*07:01 | | Israel Iraq Jews | 0.1610 | | 13,270 |
|
16 | A*11:01-B*52:01-C*07:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.1577 | | 951 |
|
17 | A*01:01:01-B*52:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
18 | A*02:01:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
19 | A*24:02:01-B*52:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
20 | A*31:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
21 | A*33:03:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*03:02:08 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
22 | A*33:03:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
23 | A*01:01-B*52:01-DRB1*07:01 | | Israel Libya Jews | 0.1340 | | 3,739 |
|
24 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.1288 | | 2,403 |
|
25 | A*03:01-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
26 | A*01:01-B*52:01-DRB1*07:01 | | Israel YemenJews | 0.1140 | | 15,542 |
|
27 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.1109 | | 2,492 |
|
28 | A*24:02-B*52:01-C*07:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
29 | A*01:01-B*52:01-DRB1*07:01 | | Israel Iraq Jews | 0.0938 | | 13,270 |
|
30 | A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
31 | A*24:02-B*52:01-DRB1*07:01 | | Israel Tunisia Jews | 0.0864 | | 9,070 |
|
32 | A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0847 | | 2,492 |
|
33 | A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India East UCBB | 0.0842 | | 2,403 |
|
34 | B*52:01-DRB1*07:01 | | Italy pop 5 | 0.0800 | | 975 |
|
35 | A*02:01-B*52:01-DRB1*07:01 | | Israel Arab pop 2 | 0.0780 | | 12,301 |
|
36 | A*24:03-B*52:01-DRB1*07:01 | | Israel Iraq Jews | 0.0745 | | 13,270 |
|
37 | A*01:01-B*52:01-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*02:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
38 | A*02:01-B*52:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
39 | A*03:01-B*52:01-C*06:02-DRB1*07:01-DQA1*01:03-DQB1*03:03-DPB1*09:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
40 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*83:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
41 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
42 | A*03:01-B*52:01-C*12:145-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
43 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*01:02-DQB1*06:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
44 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
45 | A*23:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
46 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
47 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
48 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
49 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0683 | | 11,446 |
|
50 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0656 | | 4,204 |
|
51 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0655 | | 2,492 |
|
52 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0640 | | 2,492 |
|
53 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0638 | | 11,446 |
|
54 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0632 | | 2,403 |
|
55 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0624 | | 5,829 |
|
56 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0609 | | 2,492 |
|
57 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0602 | | 2,492 |
|
58 | A*68:01-B*52:01-C*07:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0602 | | 2,492 |
|
59 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0572 | | 2,492 |
|
60 | A*24:04-B*52:01-DRB1*07:01 | | Israel Ashkenazi Jews pop 3 | 0.0530 | | 4,625 |
|
61 | A*01:01-B*52:01-C*04:01-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
62 | A*02:01-B*52:01-C*07:02-DRB1*07:01-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
63 | A*02:01-B*52:01-C*08:01-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
64 | A*33:01-B*52:01-C*07:01-DRB1*07:01-DQB1*02:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
65 | A*11:01-B*52:01-DRB1*07:01 | | Israel Arab pop 2 | 0.0511 | | 12,301 |
|
66 | A*29:01-B*52:01-DRB1*07:01 | | Israel Ashkenazi Jews pop 3 | 0.0511 | | 4,625 |
|
67 | A*11:01-B*52:01-DRB1*07:01 | | Israel Morocco Jews | 0.0507 | | 36,718 |
|
68 | A*32:01-B*52:01-DRB1*07:01 | | Israel USA Jews | 0.0485 | | 6,058 |
|
69 | A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0482 | | 5,849 |
|
70 | A*11:01-B*52:01-DRB1*07:01 | | Israel USA Jews | 0.0456 | | 6,058 |
|
71 | A*01:01-B*52:01-DRB1*07:01 | | Israel Iran Jews | 0.0455 | | 8,153 |
|
72 | A*02:01-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
73 | A*32:01-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
74 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0444 | | 2,403 |
|
75 | A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
76 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
77 | A*01:01-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
78 | A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0427 | | 2,492 |
|
79 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0417 | | 2,492 |
|
80 | A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India East UCBB | 0.0416 | | 2,403 |
|
81 | A*03:02-B*52:01-DRB1*07:01 | | Israel Tunisia Jews | 0.0405 | | 9,070 |
|
82 | A*02:06-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0391 | | 5,849 |
|
83 | A*02:03-B*52:01-C*07:02-DRB1*07:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
84 | A*02:07-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
85 | A*68:01-B*52:01-DRB1*07:01 | | Hong Kong Chinese cord blood registry | 0.0385 | | 3,892 |
|
86 | A*11:01-B*52:01-DRB1*07:01 | | Israel Argentina Jews | 0.0376 | | 4,307 |
|
87 | A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0374 | | 4,204 |
|
88 | A*24:02-B*52:01-C*12:02-DRB1*07:01 | | Germany DKMS - Netherlands minority | 0.0360 | | 1,374 |
|
89 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0346 | | 5,849 |
|
90 | A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0346 | | 1,510 |
|
91 | A*33:01-B*52:01-C*03:04-DRB1*07:01-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
92 | A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
93 | A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
94 | A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
95 | A*01:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
96 | A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
97 | A*33:03-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0330 | | 11,446 |
|
98 | A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 0.0314 | | 4,204 |
|
99 | A*29:01-B*52:01-DRB1*07:01 | | Israel USA Jews | 0.0309 | | 6,058 |
|
100 | A*02:02-B*52:01-DRB1*07:01 | | Israel Morocco Jews | 0.0304 | | 36,718 |
|
* 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).