Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 469) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Sorgono 25.300093
 2  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Carbonia 23.100091
 3  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Sassari 22.100091
 4  DRB1*03:01-DQA1*05:01-DQB1*02:01  Slovenia pop 2 22.0000140
 5  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Cagliari 21.300087
 6  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Lanusei 21.300087
 7  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Oristano 20.900091
 8  DRB1*03:01-DQA1*05:01-DQB1*02:01  Italy Sardinia Tempio 19.800091
 9  DRB1*03:01-DQA1*05:01-DQB1*02:01  Morocco Souss Region 17.300098
 10  DQA1*05:01-DQB1*02:01  Tunisia 16.4000100
 11  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Kazakh 15.380052
 12  DRB1*03:01-DQA1*05:01-DQB1*02:01  USA San Francisco Caucasian 14.4000220
 13  DRB1*03-DQA1*05-DQB1*02  USA San Francisco Caucasian 14.4000220
 14  DQA1*05:01-DQB1*02:01  Belgium pop 2 14.1000715
 15  DQA1*05-DQB1*02  Israel Ethiopian Jews 14.0000122
 16  DQA1*05-DQB1*02  Israel Yemenite Jews 13.700076
 17  DRB1*03:01-DQA1*05:01-DQB1*02:01  USA European American 13.14001,899
 18  DRB1*03:01-DQA1*05:01-DQB1*02:01  China Urumqi Kazak 13.100042
 19  DRB1*03:01-DQA1*05:01-DQB1*02:01  England pop 6 12.7000177
 20  DRB1*03:01-DQA1*05-DQB1*02  China Urumqi Uyghur 12.600057
 21  DRB1*03:01:01-DQA1*05-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 12.5000100
 22  DRB1*03:01:01-DQA1*05:01-DQB1*02:01  Morocco Settat Chaouya 12.300098
 23  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Kostroma Region 12.3000126
 24  DRB1*03-DQA1*05:01-DQB1*02:01  Croatia Gorski Kotar Region 12.000063
 25  DRB1*03:01-DQA1*05:01-DQB1*02:01  Australia New South Wales Aborigine 11.4000177
 26  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Guanajuato and Jalisco Mestizo 11.4000101
 27  DRB1*03:01-DQA1*05:01-DQB1*02:01  Algeria pop 2 11.3000106
 28  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Uyghur 11.270071
 29  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Fars Parsi 11.000073
 30  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Gomel Region 10.7000100
 31  DRB1*03:01-DQA1*05:01-DQB1*02:01  Tunisia 10.0000100
 32  DQA1*05:01-DQB1*02  France Ceph 9.6000124
 33  DQA1*05-DQB1*02  Israel Arab 9.6000109
 34  DRB1*03:01-DQA1*05:01-DQB1*02  Ethiopia Oromo 9.600083
 35  DRB1*03:01-DQA1*05:01-DQB1*02:01  Turkey pop 1 9.4000250
 36  DQA1*05-DQB1*02  Israel Iranian Jews 9.3000101
 37  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Smolensk 9.3000156
 38  DRB1*03-DQA1*05:01-DQB1*02:01  Czech Republic pop 3 9.2000180
 39  DQA1*05:01-DQB1*02  Cameroon Saa 9.0000172
 40  DRB1*03:01-DQA1*05:01-DQB1*02:01  Russia Northwest Slavic 9.0000200
 41  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Brest Region 9.0000105
 42  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Arkhangelsk 8.600081
 43  DRB1*03-DQA1*05:01-DQB1*02:01  Ukraine Lvov 7.8000102
 44  DRB1*03:01-DQA1*05:01-DQB1*02  Ethiopia Amhara 7.700098
 45  DQA1*05:01-DQB1*02  India Bombay 7.600059
 46  DRB1*03:01-DQA1*05:01-DQB1*02:01  China Urumqi Han 7.600059
 47  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Hui 7.500040
 48  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Khanty Mansi 7.400068
 49  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Vologda 7.4000121
 50  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Vitebsk Region 7.400070
 51  DRB1*03:01-DQA1*05-DQB1*02:01  Israel Ashkenazi Jews 7.000080
 52  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Tuva pop3 6.800044
 53  DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*04  USA San Francisco Caucasian 6.8000220
 54  DRB1*03:01-DQA1*05:01-DQB1*02:01  Congo Kinshasa Bantu 6.700090
 55  DRB1*03-DQA1*05:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 6.7000167
 56  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Kurd 6.5000100
 57  DRB1*03:01-DQA1*05:01-DQB1*02:01  Spain Las Alpujarras 6.470085
 58  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Han 6.430070
 59  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mongolia Tarialan Khoton 6.400085
 60  DRB1*03:01:01-DQA1*05:01-DQB1*02:01  Cameroon Yaounde 6.300092
 61  DRB1*03:01-DQA1*05:01-DQB1*02:01  Greece pop3 6.3000246
 62  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mongolia Ulaanbaatar Khalkha 6.100041
 63  DRB1*03:01-DQA1*05:01-DQB1*02:01/06:01  Iran Azeri 6.0000100
 64  DQA1*05:01-DQB1*02  Gambia 5.8000146
 65  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 66  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 67  DRB1*03-DQA1*05:01-DQB1*02:01  Italy pop 2 5.700053
 68  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Yazd Zoroastrian 5.400065
 69  DRB1*03-DQA1*05:01-DQB1*02:01  Ukraine Khmelnytskyi 5.4000138
 70  DQA1*05:01-DQB1*02  Russia Tuva pop 2 5.2000169
 71  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Mari 5.2000202
 72  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Kayastha 4.9000190
 73  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Uttar Pradesh 4.8000202
 74  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Mathur 4.5000155
 75  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 76  A*01-B*08-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 4.4300112
 77  DRB1*03:01-DQA1*05-DQB1*02:01  Israel Non Ashkenazi Jews 4.400080
 78  DQA1*05:01-DQB1*02  Ecuador African 4.300058
 79  DQA1*05:01-DQB1*02  Uganda Baganda 4.300047
 80  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Highlands Mestizos 4.1000160
 81  DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*01  USA San Francisco Caucasian 4.1000220
 82  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Kushun Buryat 4.000025
 83  DRB1*03:01-DQA1*05:01-DQB1*02:02  Tunisia 4.0000100
 84  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 3.94461,064
 85  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 86  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 87  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 3.850052
 88  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Nuevo Leon Mestizo 3.800040
 89  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Rastogi 3.8000196
 90  DRB1*03-DQA1*05:01-DQB1*02:01  Mexico Guadalajara Mestizo 3.700054
 91  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 3.6055833
 92  A*30-B*18-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01  Spain Murcia 3.5000173
 93  DRB1*03:01-DQA1*05:02-DQB1*02:01  Mongolia Tarialan Khoton 3.400085
 94  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 3.3333150
 95  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Vaish 3.3000198
 96  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Shia 3.3000190
 97  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Sunni 3.3000188
 98  DRB1*03:01-DQA1*05:01-DQB1*02:01  Canada British Columbia Athabaskan 3.200062
 99  DRB1*03:01-DQA1*05:01:01-DQB1*02:01  South Korea pop 5 3.0000467
 100  A*01-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 2.8848641

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 469) records   Pages: 1 2 3 4 5 of 5  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional