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 7,531) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:01-DQA1*03-DQB1*03:03:02  Equatorial Guinea Bioko Island Bubi 27.5000100
 2  DRB1*13:01-DQA1*01:03-DQB1*06:02  Russia Siberia Lower Yenisey Ket 23.500017
 3  DRB1*13:01-DQB1*06:03  Spain Tenerife Island 13.230083
 4  DRB1*13:01-DQB1*06:01  Tunisia pop 2 13.0000111
 5  DRB1*13:01-DQB1*06:03  Spain Tenerife Island 11.760083
 6  DRB1*13:01-DQB1*06:03  Germany pop 3 10.8000111
 7  DRB1*13:01-DQA1*01:02-DQB1*06:03  Slovenia pop 2 10.0000140
 8  DRB1*13:01-DQB1*06:03  Georgia Caucasus Tbilisi 9.6639119
 9  DRB1*13:01-DQB1*06:03  Sweden Southern Sami 9.2000130
 10  DRB1*13:01-DQA1*01:03  Israel Moroccan Jews 8.3000113
 11  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Khanty Mansi 8.100068
 12  DRB1*13:01-DQA1*03:02-DQB1*03:03:02  Cameroon Yaounde 7.900092
 13  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:03  Iran Yazd Zoroastrian 7.700065
 14  DRB1*13:01-DQB1*06:03  Israel Libyan Jews 7.7000119
 15  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy pop 2 7.600053
 16  DRB1*13:01-DQB1*06:03  Israel Iranian Jews 7.4000101
 17  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Tuva Todja 6.800022
 18  DRB1*13:01-DQB1*06:03  Tunisia Matmata Berber 6.800081
 19  DRB1*13:01-DQA1*01:03-DQB1*06:03  Spain Las Alpujarras 6.470085
 20  DRB1*13:01-DQB1*03:01  Tunisia Jerba Berber 6.400055
 21  DRB1*13:01-DQA1*01:02-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 6.3000100
 22  DRB1*13:01-DQA1*01:03-DQB1*06:02  Iran 6.100058
 23  DRB1*13:01-DQB1*06:02  Central African Republic Aka Pygmy 5.900093
 24  DRB1*13:01-DRB3*01:01-DQB1*06:03  Macedonia pop 2 5.600080
 25  DRB1*13:01-DQA1*01:03-DQB1*06:03  USA European American 5.56001,899
 26  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:03  Iran Azeri 5.5000100
 27  DRB1*13:01-DQA1*01:03-DQB1*06:03  Russia Northwest Slavic 5.5000200
 28  DRB1*13:01-DQB1*06:03  Israel Yemenite Jews 5.400076
 29  DRB1*13:01-DQA1*01:03-DQB1*06:02  Equatorial Guinea Bioko Island Bubi 5.0000100
 30  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:03  Iran Kurd 5.0000100
 31  DRB1*13:01-DQA1*01:03-DQB1*06:03  Equatorial Guinea Bioko Island Bubi 5.0000100
 32  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Kazak 4.800042
 33  DRB1*13:01-DQB1*06:03  Sweden Northern Sami 4.7000154
 34  A*33:03-B*35:03-DRB1*13:01  China Yunnan Province Wa 4.6000119
 35  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Tuva pop3 4.500044
 36  DRB1*13:01-DQA1*01:03-DQB1*06:03  USA San Francisco Caucasian 4.3000220
 37  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Negidal 4.300035
 38  DRB1*13:01-DQA1*01:03-DQB1*06:03  Turkey pop 1 3.8000250
 39  DRB1*13:01-DQA1*01:03-DQB1*06:05:01/06:09  Equatorial Guinea Bioko Island Bubi 3.8000100
 40  DRB1*13:01-DQA1*01:03-DQB1*06:03  Greece pop3 3.7000246
 41  A*03-B*35-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 3.571042
 42  DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 3.52501,999
 43  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Uttar Pradesh 3.5000202
 44  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:03  Iran Fars Parsi 3.400073
 45  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:11  Russia Tuva pop3 3.400044
 46  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Uyghur 3.400057
 47  DRB1*13:01-DQA1*01:03-DQB1*06:03  Algeria pop 2 3.3000106
 48  DRB1*13:01-DQB1*06:02  Iran pop 2 3.3000120
 49  DRB1*13:01-DQB1*06:03  Israel Arab 3.3000109
 50  DRB1*13:01-DQB1*06:03  Italy pop 5 3.2000975
 51  DRB1*13:01-DQB1*06:03  Central African Republic Aka Pygmy 3.200093
 52  DRB1*13:01-DQB1*06:04  Central African Republic Aka Pygmy 3.200093
 53  A*02:01-B*15:01-DRB1*13:01  Sweden Southern Sami 3.1000130
 54  DRB1*13:01-DQA1*01:03  Israel Ashkenazi Jews pop 2 3.1000132
 55  DRB1*13:01-DQB1*06:02-DPB1*39:01  Central African Republic Aka Pygmy 3.100093
 56  A*24-B*55-DRB1*13:01-DQB1*06:03  Tunisia Ghannouch 3.000082
 57  A*68:02-B*07:02-DRB1*13:01  Sao Tome Island Forro 3.000066
 58  DRB1*13:01-DQB1*03:01  Iran pop 3 3.0000100
 59  DRB1*13:01-DQA1*01:03-DQB1*06:02/06:11  Russia Siberia Khanty Mansi 2.900068
 60  DRB1*13:01-DQB1*06:03  Cretan Islanders 2.8226124
 61  A*02:01:01-B*51:01:01-DRB1*13:01:01  Bulgaria 2.700055
 62  A*02:01:01-B*51:01:01-DRB1*13:01:01  Madeira 2.7000185
 63  A*29-B*44-DRB1*13:01-DQB1*06:03  Spain Pas Valley 2.700088
 64  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Kayastha 2.6000190
 65  DRB1*13:01-DQA1*01:03-DQB1*06:03  China Urumqi Han 2.500059
 66  DRB1*13:01-DQB1*06:03  Tunisia 2.5000100
 67  A*02:01-B*55:02-DRB1*13:01  New Zealand Polynesians with Full Ancestry 2.381021
 68  A*24:03:01-B*40:04:01-C*03:04:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 69  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 70  A*11:01-B*35:01-DRB1*13:01  Malaysia Kedah Kensiu 2.380021
 71  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.3333150
 72  DRB1*13:01-DQA1*01:03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 73  DRB1*13:01-DQA1*01:03-DQB1*06:05/06:09  Russia Tuva Todja 2.300022
 74  DRB1*13:01-DQA1*05:01-DQB1*04:02  Russia Siberia Sulamai Ket 2.300022
 75  DRB1*13:01-DQB1*06:03-DPB1*02:01  Greece pop3 2.3000246
 76  DRB1*13:01-DQB1*06:03  USA Asian pop 2 2.25101,772
 77  DRB1*13:01:01-DQB1*06:03  China Inner Mongolia Autonomous Region Northeast 2.2180496
 78  DRB1*13:01-DQA1*01:03-DQB1*06:03  Italy Sardinia Tempio 2.200091
 79  DRB1*13:01-DRB3*01:01  South Korea pop 6 2.2000800
 80  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Chimila Amerindians 2.127747
 81  DRB1*13:01-DQB1*06:03  USA African American pop 4 2.12102,411
 82  DRB1*13:01-DQA1*01:03-DQB1*06:02  Russia Siberia Dudinka Nganasan 2.100024
 83  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Rastogi 2.1000196
 84  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Dudinka Nganasan 2.100024
 85  DRB1*13:01-DQB1*06:03  Tunisia Gabes Arab 2.100096
 86  DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 2.0979143
 87  DRB1*13:01-DQB1*06:03  Mexico Nahua/Aztec Santo Domingo Ocotitlan 2.054873
 88  A*02:01:01-B*15:01:01:01-DRB1*13:01:01  Portugal Center 2.000050
 89  A*02:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.0000150
 90  A*11:01:01-B*44:02:01-DRB1*13:01:01  Portugal South 2.000049
 91  A*24:94-B*58:01-DRB1*13:01  Malaysia Patani 2.000025
 92  A*31:01:02-B*51:01:01-DRB1*13:01:01  Portugal Center 2.000050
 93  DRB1*13:01:01-DQB1*06:03  China Shandong Province Han 2.000098
 94  DRB1*13:01-DQA1*01:03-DQB1*06:03  England pop 6 2.0000177
 95  DRB1*13:01-DQA1*01:03-DQB1*06:03  Cameroon Yaounde 2.000092
 96  DRB1*13:01-DQA1*01:03-DQB1*06:03  Tunisia 2.0000100
 97  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Khabarovsk Evenki 2.000025
 98  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  South Korea pop 11 2.0000149
 99  DRB1*13:01-DQB1*06:03-DMB*01:01  Ecuadorean Amerindians 2.000075
 100  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152

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 7,531) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  


   

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