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 100 (from 104) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01-B*15:17:01:01-DRB1*04:07:01  Portugal North 1.100046
 2  A*01:01:01-B*15:17:01-C*07:02:01  South African Indian population 1.000050
 3  A*68:01:01-B*15:17:01:01-DRB1*15:01:01  Portugal Center 1.000050
 4  A*02:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.6787221
 5  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.5620356
 6  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Vietnam Kinh 0.4950101
 7  A*26:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 8  A*30:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 9  A*68:02:01-B*15:17:01-C*07:01:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 10  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 11  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 12  A*24:02:01-B*15:17:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 13  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*24:03:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*68:01:01-B*15:17:01-C*07:01:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.305028,927
 17  A*01:01:01-B*15:17:01-C*03:02:02-DRB1*03:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 18  A*01:01:01-B*15:17:01-C*12:02:01-DRB1*04:03:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 19  A*11:01:01-B*15:17:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 20  A*11:01:01-B*15:17:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 21  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 22  A*68:02:01:01-B*15:17:01-C*07:01:02-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 23  A*11:01:01-B*15:17:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 24  A*11:01:01-B*15:17:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 25  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 26  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:01:01-B*15:17:01-C*16:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*24:02:01-B*15:17:01-C*12:03:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*01:01:01-B*15:17:01-C*07:01:02  England Blood Donors of Mixed Ethnicity 0.1927519
 30  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.177528,927
 31  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 32  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 33  A*01:01:01-B*15:17:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 34  A*23:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 35  A*31:01:02-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 36  A*33:03:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 37  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 38  A*23:01:01-B*15:17:01-C*07:01:02  England Blood Donors of Mixed Ethnicity 0.0963519
 39  A*24:02:01-B*15:17:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 40  A*32:01:01-B*15:17:01-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 41  A*69:01-B*15:17:01-C*07:01:02  England Blood Donors of Mixed Ethnicity 0.0963519
 42  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 43  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.087728,927
 44  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 45  A*01:01:01:01-B*15:17:01:01-C*06:02:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*01:01:01:01-B*15:17:01-C*07:01:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*02:01:01:01-B*15:17:01:01-C*07:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*03:01:01:01-B*15:17:01-C*07:01:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*24:02:01:01-B*15:17:01:01-C*06:02:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*24:02:01:01-B*15:17:01:01-C*07:01:02-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 51  A*68:01:02:01-B*15:17:01:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 52  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.031423,595
 53  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 54  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 55  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.027623,595
 56  A*03:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.024723,595
 57  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.014823,595
 58  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.012923,595
 59  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.012623,595
 60  A*68:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008523,595
 61  A*03:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:07:01  Poland BMR 0.006423,595
 62  A*32:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006023,595
 63  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 64  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.005223,595
 65  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005023,595
 66  A*03:01:01-B*15:17:01-C*07:01:02-DRB1*04:04:01-DQB1*04:02:01  Poland BMR 0.004223,595
 67  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003523,595
 68  A*25:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002723,595
 69  A*31:01:02-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002623,595
 70  A*11:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002423,595
 71  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*05:01:01  Poland BMR 0.002323,595
 72  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 73  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*02:02:01  Poland BMR 0.002123,595
 74  A*01:01:01-B*15:17:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 75  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 76  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*11:15-DQB1*05:02:01  Poland BMR 0.002123,595
 77  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*03:01:01  Poland BMR 0.002123,595
 78  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 79  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 80  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 81  A*03:01:01-B*15:17:01-C*01:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 82  A*11:01:01-B*15:17:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 83  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 84  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 85  A*25:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 86  A*26:01:01-B*15:17:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 87  A*26:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:03:01  Poland BMR 0.002123,595
 88  A*30:04:01-B*15:17:01-C*07:01:02-DRB1*15:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 89  A*31:01:02-B*15:17:01-C*07:01:02-DRB1*04:02:01-DQB1*02:01:01  Poland BMR 0.002123,595
 90  A*31:01:02-B*15:17:01-C*07:01:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 91  A*32:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 92  A*32:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 93  A*32:01:01-B*15:17:01-C*07:01:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 94  A*68:01:02-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 95  A*68:01:02-B*15:17:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 96  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 97  A*03:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 98  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002023,595
 99  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 100  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*05:01:01  Poland BMR 0.001923,595

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).


Displaying 1 to 100 (from 104) records   Pages: 1 2 of 2  


   

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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