Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,449) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:02-DQB1*06:04  Israel Iranian Jews 11.6000101
 2  DRB1*13:02-DQB1*06:04  Israel Iranian Jews 11.6000101
 3  DRB1*13:02-DQA1*01:02-DQB1*06:04  Ethiopia Amhara 10.700098
 4  DRB1*13:02-DQB1*06:04  Germany pop 3 9.9000111
 5  DRB1*13:02-DQA1*01:02-DQB1*06:04  Ethiopia Oromo 9.000083
 6  DRB1*13:02-DQB1*06:04  Japan Central 7.3000371
 7  DQA1*01:02-DQB1*06:04  China, Xinjiang Uyghur Autonomous Region Uyghur 7.040071
 8  DRB1*13:02-DQA1*01:02-DQB1*06:04  South Korea pop 1 5.9000324
 9  DQA1*01:02-DQB1*06:04  Israel Ethiopian Jews 5.5000122
 10  DRB1*13:02-DQB1*06:04  Israel Ethiopian Jews 5.5000122
 11  DRB1*13:02-DQB1*06:04  Georgia Caucasus Tbilisi 5.4622119
 12  DQA1*01:02-DQB1*06:04  Uganda Baganda 5.300047
 13  DRB1*13:02-DQA1*01:02-DQB1*06:04  Gabon Haut-Ogooue Dienga 5.2000167
 14  DRB1*13:02-DQA1*01:02-DQB1*06:04  Slovenia pop 2 5.0000140
 15  DRB1*13:02-DQA1*01:02:01-DQB1*06:04  South Korea pop 5 4.8000467
 16  DRB1*13:02-DQA1*01:02-DQB1*06:04  Japan pop 2 4.8000916
 17  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 2 4.7000207
 18  B*44:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.6000485
 19  DRB1*13:02-DQB1*06:04  Sweden Southern Sami 4.4000130
 20  DRB1*13-DQA1*01:02-DQB1*06:04  Croatia Gorski Kotar Region 4.300063
 21  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 22  DRB1*13:02-DQB1*06:04-DPB1*04:01  South Korea pop 1 4.2000324
 23  DQA1*01:02-DQB1*06:04  Japan Fukuoka 4.100086
 24  DQA1*01:02-DQB1*06:04  Tunisia 4.1000100
 25  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 26  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 1 3.7000324
 27  DRB1*13:02-DRB3*03:01-DQB1*06:04  Macedonia pop 2 3.700080
 28  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 29  DRB1*13:02:01-DQB1*06:04:01  China Shandong Province Han 3.600098
 30  DRB1*13:02-DQA1*01:02-DQB1*06:04  Turkey pop 1 3.6000250
 31  DRB1*13-DQA1*01:03-DQB1*06:04  Gabon Haut-Ogooue Dienga 3.6000167
 32  DRB1*13:02-DQA1*01:02-DQB1*06:04  Spain Las Alpujarras 3.530085
 33  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 34  DRB1*13:02-DQA1*01:02-DQB1*06:04  USA European American 3.40001,899
 35  DQA1*01:02-DQB1*06:04  Israel Arab 3.3000109
 36  DRB1*13:02-DQB1*06:04  Israel Arab 3.3000109
 37  DRB1*13:02-DQB1*06:04  Cretan Islanders 3.2258124
 38  A*01-B*49:01-C*04-DRB1*13:02-DQB1*06:04  Rwanda 3.2000280
 39  DRB1*13:01-DQB1*06:04  Central African Republic Aka Pygmy 3.200093
 40  DRB1*13:02-DQB1*06:04  Central African Republic Aka Pygmy 3.200093
 41  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
 42  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 3.0000150
 43  DRB1*13:02-DQA1*01:01/01:02-DQB1*06:04  Iran Azeri 3.0000100
 44  DRB1*13:02-DQA1*01:02-DQB1*06:04  USA San Francisco Caucasian 3.0000220
 45  DRB1*13:02-DQA1*01:02-DQB1*06:04  Greece pop3 3.0000246
 46  DRB1*13:02-DQA1*01:02-DQB1*06:04  Russia Northwest Slavic 3.0000200
 47  DRB1*13:02-DQB1*06:04  Tunisia 3.0000100
 48  DRB1*13:02-DQB1*06:04  Sweden Northern Sami 3.0000154
 49  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 50  DRB1*13:02-DQA1*01:02-DQB1*06:04  Australia New South Wales Aborigine 2.8000177
 51  DRB1*13-DQA1*01:02-DQB1*06:04  Czech Republic pop 3 2.8000180
 52  DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 2.73601,999
 53  DQA1*01:02-DQB1*06:04  Israel Libyan Jews 2.6000119
 54  DRB1*13:02-DQA1*01:02-DQB1*06:04  Morocco Souss Region 2.600098
 55  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Korea pop 11 2.6000149
 56  DRB1*13:02-DQB1*06:04  Israel Libyan Jews 2.6000119
 57  DRB1*13:02-DQB1*06:04  Tunisia Gabes Arab 2.600096
 58  DRB1*13:02-DQA1*01:02-DQB1*06:04  England pop 6 2.5000177
 59  DRB1*13:02-DQA1*01:02-DQB1*06:04  Tunisia 2.5000100
 60  DQA1*01:02-DQB1*06:04  France Ceph 2.4000124
 61  DRB1*13:02-DQA1*01-DQB1*06:04  Algeria pop 2 2.4000106
 62  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
 63  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 64  A*23:01:01-B*47:01:01-C*07:02:01-DRB1*13:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 65  A*29:01-B*15:03-C*02:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 2.0000150
 66  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 67  DQA1*01:02-DQB1*06:04  Israel Yemenite Jews 2.000076
 68  DRB1*13:02-DQB1*06:04  Israel Yemenite Jews 2.000076
 69  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
 70  DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 1.9200234
 71  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy pop 2 1.900053
 72  DRB1*13:02-DQB1*06:04  Tunisia Matmata Berber 1.900081
 73  DQA1*01:02-DQB1*06:04  Russia Tuva pop 2 1.8000169
 74  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 75  DRB1*13:02-DQB1*06:04  Italy pop 5 1.6800975
 76  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
 77  DRB1*13:02-DQA1*01:02-DQB1*06:04  India Uttar Pradesh 1.6000202
 78  DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Highlands Mestizos 1.6000160
 79  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Sorgono 1.600093
 80  DRB1*13:02-DQB1*06:04  USA African American pop 4 1.59002,411
 81  A*24:02-B*15:03-DRB1*13:02-DQB1*06:04  Tunisia Gabes 1.570095
 82  DRB1*13:02:01-DQB1*06:04  China Inner Mongolia Autonomous Region Northeast 1.5120496
 83  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 84  DRB1*13:02-DQB1*06:04  USA Asian pop 2 1.36801,772
 85  DRB1*13:02-DRB3*03:01-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 86  DRB1*13:02-DRB3*03:01-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 87  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 1.2500120
 88  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 89  A*26-B*38-DRB1*13:02-DQB1*06:04  Spain North Cantabria 1.200083
 90  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 91  DRB1*13:01-DQA1*01:03-DQB1*06:04  Ethiopia Oromo 1.200083
 92  DRB1*13:01-DQA1*01:03-DQB1*06:04  Cameroon Yaounde 1.200092
 93  A*36-B*07-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 94  A*68-B*13-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 95  A*68-B*78-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 96  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 1.1182336
 97  DRB1*13:02-DQA1*01:02-DQB1*06:04  Russia Tuva pop3 1.100044
 98  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Cagliari 1.100087
 99  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Tempio 1.100091
 100  A*32:01-B*39:05-C*17:01-DRB1*04:07-DQB1*06:04  Colombia North Chimila Amerindians 1.063847

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 1,449) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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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