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 330) records   Pages: 1 2 3 4 of 4  

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  DQA1*05:01-DQB1*02:01  Belgium pop 2 14.1000715
 14  DRB1*03:01-DQA1*05:01-DQB1*02:01  USA European American 13.14001,899
 15  DRB1*03:01-DQA1*05:01-DQB1*02:01  China Urumqi Kazak 13.100042
 16  DRB1*03:01-DQA1*05:01-DQB1*02:01  England pop 6 12.7000177
 17  DRB1*03:01:01-DQA1*05:01-DQB1*02:01  Morocco Settat Chaouya 12.300098
 18  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Kostroma Region 12.3000126
 19  DRB1*03-DQA1*05:01-DQB1*02:01  Croatia Gorski Kotar Region 12.000063
 20  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Guanajuato and Jalisco Mestizo 11.4000101
 21  DRB1*03:01-DQA1*05:01-DQB1*02:01  Australia New South Wales Aborigine 11.4000177
 22  DRB1*03:01-DQA1*05:01-DQB1*02:01  Algeria pop 2 11.3000106
 23  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Uyghur 11.270071
 24  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Fars Parsi 11.000073
 25  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Gomel Region 10.7000100
 26  DRB1*03:01-DQA1*05:01-DQB1*02:01  Tunisia 10.0000100
 27  DQA1*05:01-DQB1*02  France Ceph 9.6000124
 28  DRB1*03:01-DQA1*05:01-DQB1*02  Ethiopia Oromo 9.600083
 29  DRB1*03:01-DQA1*05:01-DQB1*02:01  Turkey pop 1 9.4000250
 30  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Smolensk 9.3000156
 31  DRB1*03-DQA1*05:01-DQB1*02:01  Czech Republic pop 3 9.2000180
 32  DQA1*05:01-DQB1*02  Cameroon Saa 9.0000172
 33  DRB1*03:01-DQA1*05:01-DQB1*02:01  Russia Northwest Slavic 9.0000200
 34  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Brest Region 9.0000105
 35  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Arkhangelsk 8.600081
 36  DRB1*03-DQA1*05:01-DQB1*02:01  Ukraine Lvov 7.8000102
 37  DRB1*03:01-DQA1*05:01-DQB1*02  Ethiopia Amhara 7.700098
 38  DQA1*05:01-DQB1*02  India Bombay 7.600059
 39  DRB1*03:01-DQA1*05:01-DQB1*02:01  China Urumqi Han 7.600059
 40  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Hui 7.500040
 41  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Khanty Mansi 7.400068
 42  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Vologda 7.4000121
 43  DRB1*03-DQA1*05:01-DQB1*02:01  Belarus Vitebsk Region 7.400070
 44  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Tuva pop3 6.800044
 45  DRB1*03:01-DQA1*05:01-DQB1*02:01  Congo Kinshasa Bantu 6.700090
 46  DRB1*03-DQA1*05:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 6.7000167
 47  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Kurd 6.5000100
 48  DRB1*03:01-DQA1*05:01-DQB1*02:01  Spain Las Alpujarras 6.470085
 49  DQA1*05:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Han 6.430070
 50  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mongolia Tarialan Khoton 6.400085
 51  DRB1*03:01:01-DQA1*05:01-DQB1*02:01  Cameroon Yaounde 6.300092
 52  DRB1*03:01-DQA1*05:01-DQB1*02:01  Greece pop3 6.3000246
 53  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mongolia Ulaanbaatar Khalkha 6.100041
 54  DRB1*03:01-DQA1*05:01-DQB1*02:01/06:01  Iran Azeri 6.0000100
 55  DQA1*05:01-DQB1*02  Gambia 5.8000146
 56  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 57  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 58  DRB1*03-DQA1*05:01-DQB1*02:01  Italy pop 2 5.700053
 59  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Yazd Zoroastrian 5.400065
 60  DRB1*03-DQA1*05:01-DQB1*02:01  Ukraine Khmelnytskyi 5.4000138
 61  DQA1*05:01-DQB1*02  Russia Tuva pop 2 5.2000169
 62  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Mari 5.2000202
 63  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Kayastha 4.9000190
 64  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Uttar Pradesh 4.8000202
 65  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Mathur 4.5000155
 66  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 67  DQA1*05:01-DQB1*02  Uganda Baganda 4.300047
 68  DQA1*05:01-DQB1*02  Ecuador African 4.300058
 69  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Highlands Mestizos 4.1000160
 70  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Kushun Buryat 4.000025
 71  DRB1*03:01-DQA1*05:01-DQB1*02:02  Tunisia 4.0000100
 72  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 3.94461,064
 73  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 74  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 75  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
 76  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Nuevo Leon Mestizo 3.800040
 77  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Rastogi 3.8000196
 78  DRB1*03-DQA1*05:01-DQB1*02:01  Mexico Guadalajara Mestizo 3.700054
 79  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 3.6055833
 80  A*30-B*18-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01  Spain Murcia 3.5000173
 81  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 3.3333150
 82  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Vaish 3.3000198
 83  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Shia 3.3000190
 84  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Sunni 3.3000188
 85  DRB1*03:01-DQA1*05:01-DQB1*02:01  Canada British Columbia Athabaskan 3.200062
 86  DRB1*03:01-DQA1*05:01:01-DQB1*02:01  South Korea pop 5 3.0000467
 87  A*01-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 2.8848641
 88  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 2.880052
 89  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 2.4190124
 90  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 2.3440496
 91  A*01-B*08-DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01  Spain Murcia 2.3000173
 92  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Tuva Todja 2.300022
 93  DRB1*03:01-DQA1*05:01-DQB1*02:01  South Korea pop 1 2.2000324
 94  A*01:01:01-B*50:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Morocco Atlantic Coast Chaouya 2.100098
 95  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Khabarovsk Evenki 2.000025
 96  A*02:01-B*51:01-C*16:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 1.920052
 97  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.9000159
 98  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 11 1.7000149
 99  A*03:01-B*47:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*15:01  South Africa Worcester 1.6000159
 100  A*24-B*40-DRB1*03:01-DQA1*05:01-DQB1*02:01  Russia Tuva 1.5000190

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 330) 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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