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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,189) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:02-DQB1*06:04  Israel Iranian Jews 11.6000101
 2  DRB1*13:02-DQA1*01:02-DQB1*06:04  Ethiopia Amhara 10.700098
 3  DRB1*13:02-DQB1*06:04  Germany pop 3 9.9000111
 4  DRB1*13:02-DQA1*01:02-DQB1*06:04  Ethiopia Oromo 9.000083
 5  DRB1*13:02-DQB1*06:04  Japan Central 7.3000371
 6  DRB1*13:02-DQA1*01:02-DQB1*06:04  South Korea pop 1 5.9000324
 7  DRB1*13:02-DQB1*06:04  Israel Ethiopian Jews 5.5000122
 8  DRB1*13:02-DQB1*06:04  Georgia Caucasus Tbilisi 5.4622119
 9  DRB1*13:02-DQA1*01:02-DQB1*06:04  Gabon Haut-Ogooue Dienga 5.2000167
 10  DRB1*13:02-DQA1*01:02-DQB1*06:04  Slovenia pop 2 5.0000140
 11  DRB1*13:02-DQA1*01:02:01-DQB1*06:04  South Korea pop 5 4.8000467
 12  DRB1*13:02-DQA1*01:02-DQB1*06:04  Japan pop 2 4.8000916
 13  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 2 4.7000207
 14  B*44:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.6000485
 15  DRB1*13:02-DQB1*06:04  Sweden Southern Sami 4.4000130
 16  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 17  DRB1*13:02-DQB1*06:04-DPB1*04:01  South Korea pop 1 4.2000324
 18  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 19  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 1 3.7000324
 20  DRB1*13:02-DRB3*03:01-DQB1*06:04  Macedonia pop 2 3.700080
 21  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 22  DRB1*13:02:01-DQB1*06:04:01  China Shandong Province Han 3.600098
 23  DRB1*13:02-DQA1*01:02-DQB1*06:04  Turkey pop 1 3.6000250
 24  DRB1*13:02-DQA1*01:02-DQB1*06:04  Spain Las Alpujarras 3.530085
 25  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 26  DRB1*13:02-DQA1*01:02-DQB1*06:04  USA European American 3.40001,899
 27  DRB1*13:02-DQB1*06:04  Israel Arab 3.3000109
 28  DRB1*13:02-DQB1*06:04  Cretan Islanders 3.2258124
 29  A*01-B*49:01-C*04-DRB1*13:02-DQB1*06:04  Rwanda 3.2000280
 30  DRB1*13:02-DQB1*06:04  Central African Republic Aka Pygmy 3.200093
 31  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 32  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 3.0000150
 33  DRB1*13:02-DQA1*01:01/01:02-DQB1*06:04  Iran Azeri 3.0000100
 34  DRB1*13:02-DQA1*01:02-DQB1*06:04  Russia Northwest Slavic 3.0000200
 35  DRB1*13:02-DQA1*01:02-DQB1*06:04  Greece pop3 3.0000246
 36  DRB1*13:02-DQA1*01:02-DQB1*06:04  USA San Francisco Caucasian 3.0000220
 37  DRB1*13:02-DQB1*06:04  Tunisia 3.0000100
 38  DRB1*13:02-DQB1*06:04  Sweden Northern Sami 3.0000154
 39  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 40  DRB1*13:02-DQA1*01:02-DQB1*06:04  Australia New South Wales Aborigine 2.8000177
 41  DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 2.73601,999
 42  DRB1*13:02-DQA1*01:02-DQB1*06:04  Morocco Souss Region 2.600098
 43  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 11 2.6000149
 44  DRB1*13:02-DQB1*06:04  Tunisia Gabes Arab 2.600096
 45  DRB1*13:02-DQB1*06:04  Israel Libyan Jews 2.6000119
 46  DRB1*13:02-DQA1*01:02-DQB1*06:04  England pop 6 2.5000177
 47  DRB1*13:02-DQA1*01:02-DQB1*06:04  Tunisia 2.5000100
 48  DRB1*13:02-DQA1*01-DQB1*06:04  Algeria pop 2 2.4000106
 49  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 50  A*29:01-B*15:03-C*02:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 2.0000150
 51  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 52  DRB1*13:02-DQB1*06:04  Israel Yemenite Jews 2.000076
 53  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 1.920052
 54  DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 1.9200234
 55  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy pop 2 1.900053
 56  DRB1*13:02-DQB1*06:04  Tunisia Matmata Berber 1.900081
 57  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 58  DRB1*13:02-DQB1*06:04  Italy pop 5 1.6800975
 59  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 1.6300215
 60  DRB1*13:02-DQA1*01:02-DQB1*06:04  India Uttar Pradesh 1.6000202
 61  DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Highlands Mestizos 1.6000160
 62  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Sorgono 1.600093
 63  DRB1*13:02-DQB1*06:04  USA African American pop 4 1.59002,411
 64  A*24:02-B*15:03-DRB1*13:02-DQB1*06:04  Tunisia Gabes 1.570095
 65  DRB1*13:02:01-DQB1*06:04  China Inner Mongolia Autonomous Region Northeast 1.5120496
 66  DRB1*13:02-DQB1*06:04  USA Asian pop 2 1.36801,772
 67  DRB1*13:02-DRB3*03:01-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 68  DRB1*13:02-DRB3*03:01-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 69  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 1.2500120
 70  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 71  A*26-B*38-DRB1*13:02-DQB1*06:04  Spain North Cantabria 1.200083
 72  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 73  A*36-B*07-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 74  A*68-B*13-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 75  A*68-B*78-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 76  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 1.1182336
 77  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Cagliari 1.100087
 78  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Tempio 1.100091
 79  DRB1*13:02-DQA1*01:02-DQB1*06:04  Russia Tuva pop3 1.100044
 80  A*02-B*51-DRB1*13:02-DQA1*01:02-DQB1*06:04  Morocco 1.000096
 81  DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Guanajuato and Jalisco Mestizo 1.0000101
 82  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 2 1.0000207
 83  DRB1*13:02-DQB1*06:04  Japan Hokkaido Ainu 1.000050
 84  DRB1*13:02-DQB1*06:04-DPB1*02:01  Greece pop3 1.0000246
 85  DRB1*13:02-DQB1*06:04-DPB1*04:01  Greece pop3 1.0000246
 86  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.98054,204
 87  A*01:01-B*08:01-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 0.960052
 88  A*26:01-B*07:03-DRB1*13:02-DQB1*06:04  Iran Yazd 0.892956
 89  A*26:01-B*15:24-DRB1*13:02-DQB1*06:04  Iran Yazd 0.892956
 90  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.8600234
 91  B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.8600234
 92  A*01:02-B*35:27-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 93  A*02:61-B*15:17-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 94  A*33:01-B*18:01-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 95  A*01:01-B*45:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.7987336
 96  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 97  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.7810496
 98  A*32:01-B*15:03-DRB1*13:02-DQB1*06:04  Chile Mapuche 0.770066
 99  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.76601,242,890
 100  A*31:01-B*40:02-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Tixcacaltuyub Maya 0.746367

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 1,189) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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