Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 85 (from 85) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 5.872923,595
 2  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 3  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 3.3854192
 4  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.7900215
 5  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 6  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 7  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.9608102
 8  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 1.7610142
 9  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 10  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 1.3636110
 11  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 12  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Amerindians (G) 1.2097125
 13  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 14  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Nicaragua Mestizo (G) 0.9677155
 15  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 16  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 17  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 18  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 19  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 20  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 21  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 22  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 23  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 24  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01  Nicaragua Mestizo (G) 0.6452155
 25  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 26  A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 27  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.55551,510
 28  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 29  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.5208192
 30  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.502623,595
 31  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:04:02-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 32  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 33  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 34  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 35  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 36  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 37  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 38  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 39  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 40  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 41  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 42  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 43  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 44  A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 45  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.290523,595
 46  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 47  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 48  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 49  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 50  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 51  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 52  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.182823,595
 54  A*11:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.132923,595
 55  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.123623,595
 56  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.12311,510
 57  A*25:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.110023,595
 58  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.09941,510
 59  A*23:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.080523,595
 60  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07821,510
 61  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.075623,595
 62  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07161,510
 63  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.043523,595
 64  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04055,266
 65  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.036723,595
 66  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033623,595
 67  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03331,510
 68  A*68:01:02:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*30:04:01-B*08:01:01-C*07:01:01-DRB1*03:01  Nicaragua Mestizo (G) 0.0239155
 70  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021723,595
 71  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*06:02:01  Poland BMR 0.014823,595
 72  A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010723,595
 73  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010323,595
 74  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.007223,595
 75  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00545,266
 76  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:53Q  Poland BMR 0.004823,595
 77  A*03:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004523,595
 78  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 79  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 80  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 81  A*02:05:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 82  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 83  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*05:04  Poland BMR 0.002123,595
 84  A*02:22:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 85  A*66:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.000393623,595

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: 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).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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