Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 517) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*51-C*06-DRB1*13-DQB1*06  Sudan Khartoum 4.590098
 2  A*02-B*51-DRB1*13-DQB1*06  Mexico Tamaulipas, Ciudad Victoria 4.347823
 3  A*68-B*51-DRB1*13:02-DQB1*06:03  Colombia San Basilio de Palenque 2.381042
 4  A*02-B*51-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 1.785756
 5  A*02-B*51-DRB1*13:01-DQB1*06:03  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 6  A*02-B*51-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 1.4563103
 7  A*26-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Tonala 1.428635
 8  A*02-B*51-DRB1*13-DQB1*06  Mexico Baja California, La Paz 1.333375
 9  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 1.2500120
 10  A*68-B*51-C*06-DRB1*13-DQB1*06  Albanian Kosovo 1.2500120
 11  A*02-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 1.219582
 12  A*11-B*51-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 1.1905125
 13  A*02-B*51-C*07:02-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 14  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 1.0753186
 15  A*02-B*51-C*01-DRB1*13-DQB1*06  Albania 1.0000160
 16  A*02-B*51-DRB1*13:02-DQA1*01:02-DQB1*06:04  Morocco 1.000096
 17  A*11-B*51-DRB1*13-DQB1*06  Mexico Mexico City South 0.961552
 18  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.9300215
 19  A*68:01-B*51:06-DRB1*13:01-DQB1*06:02  Iran Yazd 0.892956
 20  A*02:01-B*51:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*02:01-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 21  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 22  A*02-B*51-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8600112
 23  A*02:50-B*51:01-DRB1*13:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 24  A*24-B*51-DRB1*13:47-DQB1*06:03  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 25  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 26  A*02-B*51-C*01-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 27  A*02-B*51-C*06-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 28  A*01-B*51-DRB1*13-DQB1*06  Mexico Oaxaca, Oaxaca city 0.6623151
 29  A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.6390336
 30  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.629428,927
 31  A*02-B*51-DRB1*13-DQB1*06  Mexico Guanajuato Rural 0.6135162
 32  A*11-B*51-DRB1*13-DQB1*06  Mexico Morelos, Cuernavaca 0.609882
 33  A*24-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 34  A*32-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 35  A*02-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 36  A*74:01-B*51:01-DRB1*13:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 37  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 38  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 39  A*02:01-B*51:01-DRB1*13:10-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 40  A*02-B*51-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.5682439
 41  A*24:02-B*51:01-DRB1*13:01-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 42  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.5535271
 43  A*02-B*51-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 44  A*31-B*51-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 45  A*68:01-B*51:01-DRB1*13:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 46  A*25-B*51-DRB1*13-DQB1*06  Mexico Sonora Rural 0.5076197
 47  A*33-B*51-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 48  A*68:01-B*51:01-C*15:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 49  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 50  A*02-B*51-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.4184236
 51  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 52  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 53  A*02:01-B*51:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 54  A*25:01-B*51:01-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 55  A*68:01-B*51:01-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 56  A*68:01-B*51:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 57  A*02-B*51-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.3968125
 58  A*01-B*51-C*16:02-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 59  A*31-B*51-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 60  A*02:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 61  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.377128,927
 62  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 63  A*29-B*51-DRB1*13-DQB1*06  Mexico Tabasco Rural 0.3521142
 64  A*02:01:01-B*51:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  South African Black 0.3520142
 65  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 66  B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 67  A*24-B*51-C*15-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 68  A*30-B*51-C*07-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 69  A*11-B*51-C*03:03-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 70  A*68-B*51-DRB1*13-DQB1*06  Mexico Michoacan, Morelia 0.3311150
 71  A*02:01:01-B*51:01:01-C*15:05:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 72  A*11-B*51-DRB1*13-DQB1*06  Mexico Mexico City Center 0.3247152
 73  A*03:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.3195336
 74  A*02:01:01-B*51:32-C*16:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 75  A*31-B*51-DRB1*13-DQB1*06  Mexico Guanajuato Rural 0.3067162
 76  A*30-B*51-DRB1*13-DQB1*06  Mexico Durango Rural 0.3058326
 77  A*02-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2998641
 78  A*11-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 79  A*02-B*51-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.2865348
 80  A*11-B*51-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.2865348
 81  A*02:11:01-B*51:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 82  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:110  India Andhra Pradesh Telugu Speaking 0.2688186
 83  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 84  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 85  A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.264614,339
 86  A*02:01:01:01-B*51:01:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 87  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 88  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 89  A*24:02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 90  A*11-B*51-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.2560585
 91  A*24-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2542641
 92  A*29:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.233714,339
 93  A*33:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 94  A*03:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22972,492
 95  A*02-B*51-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226
 96  A*02:01-B*51:01-C*15:09-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Nicaragua Managua 0.2165339
 97  A*02-B*51-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 98  A*11-B*51-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 99  A*11:01-B*51:01-C*05:01-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 100  A*68:01-B*51:01-C*15:02-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298

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 517) records   Pages: 1 2 3 4 5 6 of 6  


   

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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