Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01-B*07:02-DRB1*10:01 | | Malaysia Kedah Kensiu | 4.7600 | | 21 |
|
2 | A*24:07-B*07:02-DRB1*10:01 | | Malaysia Patani | 2.0000 | | 25 |
|
3 | A*03:01-B*07:02-DRB1*10:01 | | Azores Oriental Islands | 1.3000 | | 43 |
|
4 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
5 | A*29:01-B*07:02-DRB1*10:01 | | Israel Georgia Jews | 0.7720 | | 4,471 |
|
6 | A*03:01-B*07:02-DRB1*10:01-DQB1*05:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
7 | A*29:01-B*07:02-DRB1*10:01-DQB1*05:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
8 | A*29:01-B*07:02-DRB1*10:01 | | Israel USSR Jews | 0.4480 | | 45,681 |
|
9 | A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Italy pop 5 | 0.4400 | | 975 |
|
10 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
11 | A*01:01:01:01-B*07:02:01-C*07:01:01-DRB1*10:01:01-DQB1*05:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
12 | A*29:01-B*07:02-DRB1*10:01 | | Israel Druze | 0.4100 | | 5,914 |
|
13 | A*29:01-B*07:02-DRB1*10:01 | | Israel USA Jews | 0.3650 | | 6,058 |
|
14 | A*29:01-B*07:02-DRB1*10:01 | | Israel Argentina Jews | 0.3600 | | 4,307 |
|
15 | A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01 | | Brazil Puyanawa | 0.3333 | | 150 |
|
16 | A*29:01-B*07:02-DRB1*10:01 | | Israel Poland Jews | 0.3270 | | 13,871 |
|
17 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
18 | A*03:01-B*07:02-C*07:02-DRB1*10:01 | | Italy pop 5 | 0.3000 | | 975 |
|
19 | A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
20 | A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.2760 | | 356 |
|
21 | A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
22 | A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
23 | A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.2469 | | 2,492 |
|
24 | A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01 | | Mexico Chiapas Lacandon Mayans | 0.2294 | | 218 |
|
25 | A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
26 | A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
27 | A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
28 | A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.1839 | | 4,204 |
|
29 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.1651 | | 2,492 |
|
30 | A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01-DPB1*17:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
31 | A*02:01-B*07:02-DRB1*10:01-DQB1*05:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
32 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1450 | | 356 |
|
33 | A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
34 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.1182 | | 4,204 |
|
35 | A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.1025 | | 1,463 |
|
36 | A*29:01-B*07:02-DRB1*10:01 | | Israel Arab pop 2 | 0.1020 | | 12,301 |
|
37 | B*07:02-DRB1*10:01 | | Italy pop 5 | 0.1000 | | 975 |
|
38 | A*11:01-B*07:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0991 | | 12,301 |
|
39 | A*02:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
40 | A*02:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Austria minority | 0.0860 | | 1,698 |
|
41 | A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0767 | | 4,204 |
|
42 | A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0756 | | 2,492 |
|
43 | A*02:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Netherlands minority | 0.0730 | | 1,374 |
|
44 | A*29:01-B*07:02-DRB1*10:01 | | Israel Morocco Jews | 0.0710 | | 36,718 |
|
45 | A*68:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - France minority | 0.0710 | | 1,406 |
|
46 | A*11:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
47 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
48 | A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0650 | | 4,204 |
|
49 | A*26:01-B*07:02-C*12:03-DRB1*10:01-DQB1*05:01-DPB1*13:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
50 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*03:03 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
51 | A*24:07-B*07:02-C*12:02-DRB1*10:01-DQB1*06:03 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
52 | A*02:02-B*07:02-C*07:01-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
53 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
54 | A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
55 | A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
56 | A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
57 | A*26:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
58 | A*02:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - China minority | 0.0400 | | 1,282 |
|
59 | A*32:01-B*07:02-DRB1*10:01 | | Israel USSR Jews | 0.0377 | | 45,681 |
|
60 | A*25:01-B*07:02-C*07:172-DRB1*10:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
61 | A*02:05-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
62 | A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
63 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
64 | A*11:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
65 | A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
66 | A*32:01-B*07:02-DRB1*10:01 | | Israel Argentina Jews | 0.0318 | | 4,307 |
|
67 | A*03:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Austria minority | 0.0310 | | 1,698 |
|
68 | A*03:01-B*07:02-C*07:02-DRB1*10:01 | | Germany DKMS - Greece minority | 0.0300 | | 1,894 |
|
69 | A*03:01-B*07:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0291 | | 12,301 |
|
70 | A*29:01-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0288 | | 2,492 |
|
71 | A*29:02-B*07:02-DRB1*10:01 | | Israel Morocco Jews | 0.0279 | | 36,718 |
|
72 | A*32:01-B*07:02-DRB1*10:01 | | Israel USA Jews | 0.0268 | | 6,058 |
|
73 | A*31:08-B*07:02-DRB1*10:01 | | Israel Argentina Jews | 0.0258 | | 4,307 |
|
74 | A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0226 | | 4,204 |
|
75 | A*26:01-B*07:02-DRB1*10:01 | | Israel Georgia Jews | 0.0224 | | 4,471 |
|
76 | A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0213 | | 4,204 |
|
77 | A*01:01-B*07:02-DRB1*10:01 | | Israel Morocco Jews | 0.0212 | | 36,718 |
|
78 | A*32:01-B*07:02-DRB1*10:01 | | Israel Poland Jews | 0.0207 | | 13,871 |
|
79 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
80 | A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
81 | A*02:01-B*07:02-DRB1*10:01 | | Israel USSR Jews | 0.0185 | | 45,681 |
|
82 | A*25:01-B*07:02-DRB1*10:01 | | Israel USA Jews | 0.0169 | | 6,058 |
|
83 | A*33:01-B*07:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0150 | | 12,301 |
|
84 | A*33:03:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0127 | | 5,266 |
|
85 | A*29:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
86 | A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
87 | A*29:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0119 | | 4,204 |
|
88 | A*02:16-B*07:02-DRB1*10:01 | | Israel Georgia Jews | 0.0112 | | 4,471 |
|
89 | A*03:02-B*07:02-DRB1*10:01 | | Israel USA Jews | 0.0112 | | 6,058 |
|
90 | A*31:08-B*07:02-DRB1*10:01 | | Israel Georgia Jews | 0.0112 | | 4,471 |
|
91 | A*02:01-B*07:02-C*07:02-DRB1*10:01 | | Poland DKMS | 0.0111 | | 20,653 |
|
92 | A*30:02-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
93 | A*33:03-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
94 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0108 | | 23,595 |
|
95 | A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
96 | A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
97 | A*31:08-B*07:02-DRB1*10:01 | | Israel USSR Jews | 0.0085 | | 45,681 |
|
98 | A*23:01-B*07:02-DRB1*10:01 | | Israel USA Jews | 0.0083 | | 6,058 |
|
99 | A*68:02-B*07:02-DRB1*10:01 | | Israel Poland Jews | 0.0082 | | 13,871 |
|
100 | A*29:02-B*07:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0081 | | 12,301 |
|
* 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).