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 394) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*58:01-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.3000485
 2  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 3  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 4  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA Asian pop 2 1.37701,772
 6  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 1.35381,734
 7  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Vietnamese 1.304843,540
 8  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Chinese 1.262599,672
 9  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Vietnam Hanoi Kinh pop 2 1.2000170
 10  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 11  A*68-B*58-C*03-DRB1*13-DQB1*06  Sudan Khartoum 1.020098
 12  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 13  A*02-B*58-DRB1*13-DQB1*06  Mexico Colima, Colima city 0.819761
 14  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  Sri Lanka Colombo 0.7703714
 15  A*31:01-B*58:01-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 16  A*33-B*58-C*03:02-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 17  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Southeast Asian 0.658827,978
 18  A*01-B*58-DRB1*13-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.6579150
 19  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP South Asian Indian 0.6448185,391
 20  A*33-B*58-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.6303238
 21  A*68-B*58-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 22  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 23  A*03-B*58-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 24  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.57935,829
 25  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.5620356
 26  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Chinese 0.5155194
 27  A*33-B*58-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 28  A*66:01-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 29  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 30  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.490211,446
 31  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.4902714
 32  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Filipino 0.486850,614
 33  A*03-B*58-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.4425226
 34  A*02:01-B*58:01-C*03:04-E*01:03:02-F*01:03:01-G*01:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 35  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 36  A*11-B*58-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.3968125
 37  A*33-B*58-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 38  A*02-B*58-DRB1*13-DQB1*06  Mexico Yucatan Rural 0.3731132
 39  A*26-B*58-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 40  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.3680951
 41  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.36155,849
 42  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.35904,204
 43  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 44  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 45  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 46  A*03-B*58-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.3409439
 47  A*02-B*58-C*03:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 48  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.33182,492
 49  A*02-B*58-DRB1*13-DQB1*06  Mexico Mexico City Center 0.3247152
 50  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.3195336
 51  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*19:01  Tanzania Maasai 0.3195336
 52  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Tanzania Maasai 0.3195336
 53  A*26-B*58-DRB1*13-DQB1*06  Mexico Guanajuato Rural 0.3067162
 54  A*02:02-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:01  South Africa Worcester 0.3000159
 55  A*02:05-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*11:01  South Africa Worcester 0.3000159
 56  A*03:01-B*58:01-C*07:02-DRB1*13:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 57  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 58  A*30:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:02  South Africa Worcester 0.3000159
 59  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  South Africa Worcester 0.3000159
 60  A*68:02-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 61  A*68:02-B*58:02-C*07:01-DRB1*13:01-DQA1*03:01-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 62  A*74:01-B*58:02-C*07:01-DRB1*13:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 63  A*03-B*58-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 64  A*26-B*58-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 65  A*33-B*58-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 66  A*30-B*58-DRB1*13-DQB1*06  Mexico Veracruz, Veracruz city 0.2907171
 67  A*24:07:01-B*58:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 68  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 69  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.28094,889
 70  A*32-B*58-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.2732183
 71  A*33:03:01-B*58:01:01-C*08:22-DRB1*13:02:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 72  A*11:01-B*58:01-C*07:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Chinese 0.2577194
 73  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Chinese 0.2577194
 74  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.24182,403
 75  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Nicaragua Managua 0.2165339
 76  A*29:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Nicaragua Managua 0.2165339
 77  A*68:01-B*58:01-C*07:01-DRB1*13:04-DQA1*05:01-DQB1*06:03-DPB1*17:01  Nicaragua Managua 0.2165339
 78  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Malay 0.2103951
 79  A*01-B*58-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 80  A*02-B*58-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 81  A*24-B*58-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 82  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*04:01  Sri Lanka Colombo 0.2101714
 83  A*23-B*58-DRB1*13-DQB1*06  Mexico Oaxaca Rural 0.2053485
 84  A*02:05-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 85  A*33:03-B*58:01-C*03:02-DRB1*13:02:01-DQB1*06:09  England North West 0.2000298
 86  A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 87  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 88  A*02:05-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Indian 0.1845271
 89  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 90  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 91  A*32:01-B*58:01-C*12:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 92  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 93  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  USA NMDP Hawaiian or other Pacific Islander 0.179411,499
 94  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.17801,772
 95  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 96  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Japanese 0.175624,582
 97  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.17321,734
 98  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.17301,159
 99  A*02-B*58-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.1706585
 100  A*02-B*58-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.16411,743

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 394) records   Pages: 1 2 3 4 of 4  


   

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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