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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*15-DQA1*01:02-DQB1*06:02  Gabon Haut-Ogooue Dienga 31.1000167
 2  DQA1*01:02-DQB1*06:02  Cameroon Saa 30.5000172
 3  DRB1*15:03-DQA1*01:02-DQB1*06:02  Cameroon Yaounde 26.600092
 4  DQA1*01:02-DQB1*06:02  Papua New Guinea Highland pop2 26.200028
 5  DQA1*01:02-DQB1*06:02  Ecuador African 22.400058
 6  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Tuva Todja 20.500022
 7  DRB1*15-DQA1*01:02-DQB1*06:02  Congo Kinshasa Bantu 18.500090
 8  DQA1*01:02-DQB1*06:02  Uganda Baganda 18.100047
 9  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Kushun Buryat 18.000025
 10  DRB1*15-DQA1*01:02-DQB1*06:02  Belarus Vitebsk Region 17.000070
 11  DRB1*15:01-DQA1*01:02-DQB1*06:02  USA San Francisco Caucasian 15.8000220
 12  DQA1*01:02-DQB1*06:02  France Ceph 15.7000124
 13  DRB1*15:01-DQA1*01:02-DQB1*06:02  USA European American 14.17001,899
 14  DRB1*15:01-DQA1*01:02-DQB1*06:02  England pop 6 14.1000177
 15  DRB1*15-DQA1*01:02-DQB1*06:02  Russia Vologda 14.1000121
 16  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Irkutsk Tofalar 14.000043
 17  DRB1*15-DQA1*01:02-DQB1*06:02  Russia Smolensk 12.8000156
 18  DRB1*15-DQA1*01:02-DQB1*06:02  Czech Republic pop 3 12.8000180
 19  DRB1*15:03-DQA1*01:02-DQB1*06:02  Equatorial Guinea Bioko Island Bubi 12.5000100
 20  DRB1*15-DQA1*01:02-DQB1*06:02  Belarus Gomel Region 12.1000100
 21  DQA1*01:02-DQB1*06:02  Russia Tuva pop 2 11.5000169
 22  DRB1*15:01-DQA1*01:02-DQB1*06:02  Slovenia pop 2 11.4000140
 23  DRB1*15-DQA1*01:02-DQB1*06:02  Belarus Brest Region 11.3000105
 24  DRB1*11:01-DQA1*01:02-DQB1*06:02  Gabon Haut-Ogooue Dienga 10.4000167
 25  DRB1*15-DQA1*01:02-DQB1*06:02  Russia Mari 10.1000202
 26  DRB1*15:01-DQA1*01:02-DQB1*06:02  Australia New South Wales Aborigine 10.0000177
 27  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Francisco Caucasian 9.3000220
 28  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Francisco Caucasian 9.3000220
 29  DRB1*15-DQA1*01:02-DQB1*06:02  Ukraine Lvov 9.3000102
 30  DRB1*15:01-DQA1*01:02-DQB1*06:02  Russia Northwest Slavic 9.0000200
 31  DRB1*15:01:01-DQA1*01:02-DQB1*06:02  Morocco Settat Chaouya 8.900098
 32  DRB1*15:01-DQA1*01:02-DQB1*06:02  Algeria pop 2 8.9000106
 33  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Khanty Mansi 8.800068
 34  DRB1*15-DQA1*01:02-DQB1*06:02  Croatia Gorski Kotar Region 8.600063
 35  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Khabarovsk Evenki 8.000025
 36  DRB1*15-DQA1*01:02-DQB1*06:02  Ukraine Khmelnytskyi 8.0000138
 37  DQA1*01:02-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Han 7.860070
 38  DRB1*15:01-DQA1*01:02-DQB1*06:02  Spain Las Alpujarras 7.650085
 39  DRB1*13-DQA1*01:02-DQB1*06:02  Belarus Vitebsk Region 7.500070
 40  DRB1*11:01-DQA1*01:02-DQB1*06:02  Congo Kinshasa Bantu 7.300090
 41  DRB1*15:01-DQA1*01:02:01-DQB1*06:02  South Korea pop 5 7.2000467
 42  DRB1*15:01-DQA1*01:02-DQB1*06:02  South Korea pop 1 6.8000324
 43  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Tuva pop3 6.800044
 44  DQA1*01:02-DQB1*06:02  Gambia 6.5000146
 45  DQA1*01:02-DQB1*06:02  Japan Fukuoka 6.400086
 46  DQA1*01:02-DQB1*06:02  Israel Ethiopian Jews 6.4000122
 47  DQA1*01:02-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Hui 6.250040
 48  DRB1*15:01-DQA1*01:02-DQB1*06:02  Turkey pop 1 6.2000250
 49  DQA1*01:02-DQB1*06:02  Tunisia 6.1000100
 50  DRB1*15:01-DQA1*01:02-DQB1*06:02  Japan pop 2 5.6000916
 51  DRB1*15:03-DQA1*01:02-DQB1*06:02  Ethiopia Amhara 5.600098
 52  DRB1*15:01-DQA1*01:02-DQB1*06:02  Morocco Souss Region 5.400098
 53  DRB1*15:03-DQA1*01:02-DQB1*06:02  Ethiopia Oromo 5.400083
 54  DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Highlands Mestizos 5.3000160
 55  DRB1*11:01-DQA1*01:02-DQB1*06:02  Equatorial Guinea Bioko Island Bubi 5.0000100
 56  DQA1*01:02-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Kazakh 4.810052
 57  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Ulchi 4.800073
 58  DRB1*15-DQA1*01:02-DQB1*06:02  Italy pop 2 4.700053
 59  DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Nuevo Leon Mestizo 4.500040
 60  DRB1*15:01-DQA1*01:02-DQB1*06:02  China Urumqi Uyghur 4.300057
 61  DRB1*15:01-DQA1*01:02-DQB1*06:02/06:11  Russia Siberia Negidal 4.300035
 62  DQA1*01:02-DQB1*06:02  India Bombay 4.200059
 63  DRB1*15:01-DQA1*01:02-DQB1*06:02  China Urumqi Han 4.200059
 64  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Cagliari 4.000087
 65  DQA1*01:02-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Uyghur 3.520071
 66  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  South Korea pop 1 3.4000324
 67  DRB1*15:01-DQA1*01:02-DQB1*06:02  Greece pop3 3.3000246
 68  DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Guanajuato and Jalisco Mestizo 3.0000101
 69  DRB1*15:01-DQA1*01:02-DQB1*06:02  Ethiopia Oromo 3.000083
 70  DRB1*13-DQA1*01:02-DQB1*06:02  Russia Vologda 2.9000121
 71  DRB1*15:01:01/15:01:02-DQA1*01:02:01/01:02:02-DQB1*06:02/06:11:01  Russia Siberia Lower Yenisey Ket 2.900017
 72  DRB1*11:01-DQA1*01:02-DQB1*06:02  Cameroon Yaounde 2.800092
 73  A*02-B*40-DRB1*15:01-DQA1*01:02-DQB1*06:02  Russia Tuva 2.7000190
 74  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 2 2.7000207
 75  DRB1*15-DQA1*01:02:01-DQB1*06:02  Iran 2.600058
 76  DRB1*12:02-DQA1*01:02-DQB1*06:02  Equatorial Guinea Bioko Island Bubi 2.5000100
 77  DRB1*13-DQA1*01:02-DQB1*06:02  Ukraine Lvov 2.5000102
 78  DRB1*15:01-DQA1*01:02-DQB1*06:02  China Urumqi Kazak 2.400042
 79  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 1 2.4000324
 80  DQA1*01:02-DQB1*06:02  Israel Arab 2.3000109
 81  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Lanusei 2.300087
 82  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  South Korea pop 11 2.3000149
 83  DRB1*13-DQA1*01:02-DQB1*06:02  Ukraine Khmelnytskyi 2.2000138
 84  A*29:02-B*44:03:01-C*16:01-DRB1*15:01:01-DQA1*01:02-DQB1*06:02  Morocco Atlantic Coast Chaouya 2.100098
 85  DRB1*15:01:01/15:01:02-DQA1*01:02:01/01:02:02-DQB1*06:02/06:11:01  Russia Siberia Dudinka Nganasan 2.100024
 86  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 87  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 88  A*02-B*07-DRB1*15:01-DQA1*01:02-DQB1*06:02  Russia Tuva 2.0000190
 89  DQA1*01:02-DQB1*06:02  Israel Yemenite Jews 2.000076
 90  DRB1*15:01-DQA1*01:02-DQB1*06:02  Tunisia 2.0000100
 91  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.9747833
 92  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 1.920052
 93  A*02-B*07-DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02  Spain Murcia 1.9000173
 94  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 95  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 96  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 1.6807119
 97  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Tempio 1.600091
 98  DRB1*15:01-DQA1*01:02-DQB1*06:02  Ethiopia Amhara 1.500098
 99  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  China Canton Han 1.5000264
 100  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Tixcacaltuyub Maya 1.492567

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 546) 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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