Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01 |  | Brazil Barra Mansa Rio State Black | 2.3810 |  | 73 |
 |
2 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Spain, Canary Islands, Gran canaria island | 0.9300 |  | 215 |
 |
3 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01 |  | Vietnam Kinh | 0.4950 |  | 101 |
 |
4 | A*34:01:01-B*56:01:01-C*04:03:01-DRB1*04:05:01-DQB1*04:02:01 |  | Vietnam Kinh | 0.4950 |  | 101 |
 |
5 | A*34:01:01-B*56:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:02:01 |  | Vietnam Kinh | 0.4950 |  | 101 |
 |
6 | A*68:01:01-B*56:01:01-C*03:04:01-DRB1*01:02:01-DQB1*05:01 |  | Costa Rica Central Valley Mestizo (G) | 0.4525 |  | 221 |
 |
7 | A*66:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 |  | Russian Federation Vologda Region | 0.4202 |  | 119 |
 |
8 | A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:02:01 |  | Costa Rica Amerindians (G) | 0.4032 |  | 125 |
 |
9 | A*25:01:01-B*56:01:01-C*01:02:01-DRB1*01:03 |  | Nicaragua Mestizo (G) | 0.3226 |  | 155 |
 |
10 | A*11:01:01-B*56:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01 |  | India Kerala Malayalam speaking | 0.2810 |  | 356 |
 |
11 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01 |  | India Andhra Pradesh Telugu Speaking | 0.2688 |  | 186 |
 |
12 | A*11:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 |  | Russia Nizhny Novgorod, Russians | 0.2313 |  | 1,510 |
 |
13 | A*01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Spain, Canary Islands, Gran canaria island | 0.2300 |  | 215 |
 |
14 | A*32:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 |  | Spain, Canary Islands, Gran canaria island | 0.2300 |  | 215 |
 |
15 | A*02:01:01-B*56:01:01-DRB1*08:01:01 |  | Latvia | 0.1880 |  | 266 |
 |
16 | A*03:01:01-B*56:01:01-DRB1*03:01:01 |  | Latvia | 0.1880 |  | 266 |
 |
17 | A*03:01:01-B*56:01:01-DRB1*07:01:01 |  | Latvia | 0.1880 |  | 266 |
 |
18 | A*01:01:01-B*56:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:03:02 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
19 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
20 | A*02:01:01-B*56:01:01-C*04:03:01-DRB1*14:04:01-DQB1*06:09:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
21 | A*02:01:01-B*56:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
22 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
23 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
24 | A*11:01:01-B*56:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
25 | A*11:01:01-B*56:01:01-C*05:01:01-DRB1*04:03:01-DQB1*05:03:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
26 | A*33:03:01-B*56:01:01-C*03:02:01-DRB1*04:03:01-DQB1*05:01:01 |  | India Kerala Malayalam speaking | 0.1400 |  | 356 |
 |
27 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Poland BMR | 0.1364 |  | 23,595 |
 |
28 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Poland BMR | 0.1040 |  | 23,595 |
 |
29 | A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 |  | Russia Nizhny Novgorod, Russians | 0.0998 |  | 1,510 |
 |
30 | A*02:01:01-B*56:01:01-C*01:02:01 |  | England Blood Donors of Mixed Ethnicity | 0.0963 |  | 519 |
 |
31 | A*32:01:01-B*56:01:01-C*01:02:01 |  | England Blood Donors of Mixed Ethnicity | 0.0963 |  | 519 |
 |
32 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 |  | Poland BMR | 0.0936 |  | 23,595 |
 |
33 | A*02:03:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0703 |  | 5,266 |
 |
34 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02 |  | Russia Nizhny Novgorod, Russians | 0.0662 |  | 1,510 |
 |
35 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 |  | Russia Nizhny Novgorod, Russians | 0.0662 |  | 1,510 |
 |
36 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Poland BMR | 0.0654 |  | 23,595 |
 |
37 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Poland BMR | 0.0559 |  | 23,595 |
 |
38 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 |  | Poland BMR | 0.0490 |  | 23,595 |
 |
39 | A*02:06:01-B*56:01:01-C*07:02:01-DRB1*04:06:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0475 |  | 5,266 |
 |
40 | A*68:01:02-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*03:01:01 |  | Poland BMR | 0.0402 |  | 23,595 |
 |
41 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 |  | Poland BMR | 0.0378 |  | 23,595 |
 |
42 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 |  | Poland BMR | 0.0373 |  | 23,595 |
 |
43 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Poland BMR | 0.0352 |  | 23,595 |
 |
44 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*13:12:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0332 |  | 5,266 |
 |
45 | A*01:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
46 | A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
47 | A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*14:01:01-DQB1*05:03:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
48 | A*02:01:01:01-B*56:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
49 | A*03:01:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
50 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*06:02:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
51 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
52 | A*31:01:02:01-B*56:01:01:02-C*01:02:01-DRB1*08:01:01-DQB1*03:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
53 | A*32:01:01-B*56:01:01:02-C*01:02:01-DRB1*11:28:01-DQB1*03:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
54 | A*32:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
55 | A*68:01:02:02-B*56:01:01:02-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01 |  | Russia Nizhny Novgorod, Russians | 0.0331 |  | 1,510 |
 |
56 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01 |  | Poland BMR | 0.0328 |  | 23,595 |
 |
57 | A*24:02:40-B*56:01:01-C*01:02:01-DRB1*14:54:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0308 |  | 5,266 |
 |
58 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Poland BMR | 0.0302 |  | 23,595 |
 |
59 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:02:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
60 | A*02:01:01-B*56:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:03:02 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
61 | A*02:06:01-B*56:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
62 | A*11:02:01-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
63 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
64 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
65 | A*24:02:01-B*56:01:01-C*03:03:01-DRB1*08:02:01-DQB1*04:02:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
66 | A*24:02:40-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
67 | A*24:10:01-B*56:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
68 | A*26:01:01-B*56:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:01:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
69 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DQB1*06:01:01 |  | China Zhejiang Han | 0.0288 |  | 1,734 |
 |
70 | A*31:01:02-B*56:01:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0285 |  | 5,266 |
 |
71 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 |  | Poland BMR | 0.0281 |  | 23,595 |
 |
72 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0281 |  | 5,266 |
 |
73 | A*11:01:01-B*56:01:01-C*07:02:01-DRB1*14:54:01-DPB1*13:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0276 |  | 5,266 |
 |
74 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 |  | Poland BMR | 0.0256 |  | 23,595 |
 |
75 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*13:12:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0235 |  | 5,266 |
 |
76 | A*25:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 |  | Poland BMR | 0.0230 |  | 23,595 |
 |
77 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:02:01-DPB1*21:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0207 |  | 5,266 |
 |
78 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:01:01 |  | Poland BMR | 0.0191 |  | 23,595 |
 |
79 | A*02:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0183 |  | 5,266 |
 |
80 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01 |  | Poland BMR | 0.0172 |  | 23,595 |
 |
81 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*13:12:01-DPB1*02:02:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0167 |  | 5,266 |
 |
82 | A*11:01:01-B*56:01:01-C*03:03:01-DRB1*09:01:02-DPB1*02:01:02 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0164 |  | 5,266 |
 |
83 | A*02:07:01-B*56:01:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0163 |  | 5,266 |
 |
84 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 |  | Poland BMR | 0.0161 |  | 23,595 |
 |
85 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 |  | Poland BMR | 0.0151 |  | 23,595 |
 |
86 | A*02:03:01-B*56:01:01-C*01:02:01-DRB1*13:12:01-DPB1*05:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0150 |  | 5,266 |
 |
87 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01 |  | Poland BMR | 0.0147 |  | 23,595 |
 |
88 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*13:12:01-DPB1*13:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0145 |  | 5,266 |
 |
89 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 |  | Poland BMR | 0.0141 |  | 23,595 |
 |
90 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 |  | Poland BMR | 0.0131 |  | 23,595 |
 |
91 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 |  | Poland BMR | 0.0130 |  | 23,595 |
 |
92 | A*31:01:02-B*56:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01 |  | Poland BMR | 0.0127 |  | 23,595 |
 |
93 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0125 |  | 5,266 |
 |
94 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 |  | Poland BMR | 0.0124 |  | 23,595 |
 |
95 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01 |  | Poland BMR | 0.0118 |  | 23,595 |
 |
96 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 |  | Poland BMR | 0.0115 |  | 23,595 |
 |
97 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:02:01-DPB1*04:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0115 |  | 5,266 |
 |
98 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:03:02 |  | Poland BMR | 0.0112 |  | 23,595 |
 |
99 | A*32:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 |  | Poland BMR | 0.0105 |  | 23,595 |
 |
100 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01 |  | Poland BMR | 0.0105 |  | 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).