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 1,991) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*03-DQB1*03:02  Ecuador Cayapa 41.0000183
 2  DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 36.805672
 3  A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 33.700073
 4  DRB1*13:01-DQA1*03-DQB1*03:03:02  Equatorial Guinea Bioko Island Bubi 27.5000100
 5  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Chukotka Peninsula Chukchi 26.700059
 6  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Khabarovsk Evenki 26.000025
 7  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Chukotka Peninsula Eskimo 25.000080
 8  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Dudinka Nganasan 25.000024
 9  DQA1*03-DQB1*03:03:02  Cameroon Saa 24.1000172
 10  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia North East Kamchatka Koryak 22.300092
 11  DQA1*03-DQB1*03:03:02  Ecuador Cayapa 21.1000183
 12  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Negidal 20.000035
 13  A*02:04-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 19.800073
 14  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Gvaysugi Udege 19.000025
 15  DQA1*03-DQB1*03:03:02  Japan Fukuoka 17.400086
 16  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 15.800092
 17  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Ulchi 15.800073
 18  DRB1*04:02-DQA1*03-DQB1*03:02  Israel Ashkenazi Jews 14.800080
 19  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Arkhangelsk 14.800081
 20  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Chukchi 14.700059
 21  DQA1*03-DQB1*03:02  France Ceph 14.5000124
 22  DQA1*03:01-DQB1*03:02  Tunisia 14.3000100
 23  DQA1*03-DQB1*03:02  Israel Yemenite Jews 14.200076
 24  DRB1*04-DQA1*03-DQB1*03  USA San Francisco Caucasian 14.2000220
 25  DRB1*04-DQA1*03:01-DQB1*03:02  Mexico Guadalajara Mestizo 13.900054
 26  DRB1*12:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 13.600022
 27  DQA1*03-DQB1*03:02  Israel Ashkenazi Jews pop 2 13.4000132
 28  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 13.1000160
 29  DQA1*03-DQB1*03:02  Israel Libyan Jews 13.0000119
 30  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 12.9000101
 31  DRB1*14:03-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 12.900035
 32  DRB1*04:03-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Dudinka Nganasan 12.500024
 33  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 12.1560218
 34  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 11.940367
 35  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  China Urumqi Han 11.900059
 36  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Vologda 11.6000121
 37  A*24-B*35:01-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 11.500039
 38  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Mari 11.4000202
 39  DQA1*03-DQB1*03:03  China, Xinjiang Uyghur Autonomous Region Hui 11.250040
 40  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Ulaanbaatar Khalkha 11.000041
 41  A*02-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 10.800089
 42  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  Japan pop 2 10.8000916
 43  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 10.500019
 44  DRB1*09:01-DQA1*03:01-DQB1*03:03:02  Canada British Columbia Athabaskan 10.500062
 45  DQA1*03-DQB1*03:02  Israel Arab 10.2000109
 46  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 10.200049
 47  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 10.200049
 48  DRB1*04-DRB4*01-DQA1*03-DQB1*03-DPB1*04  USA San Francisco Caucasian 9.7000220
 49  A*02-B*35-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 50  A*24-B*35:04-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 51  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 9.600035
 52  DRB1*04:03-DQA1*03:01-DQB1*03:02  Canada British Columbia Athabaskan 9.600062
 53  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Kostroma Region 9.5000126
 54  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Brest Region 9.5000105
 55  A*24:02-B*39:05-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 9.300073
 56  DRB1*04-DQA1*03:01-DQB1*03:02  Ukraine Lvov 9.3000102
 57  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Irkutsk Tofalar 9.300043
 58  DRB1*09:01-DQA1*03:02-DQB1*03:03:02  South Korea pop 5 9.1000467
 59  DRB1*04:02-DQA1*03-DQB1*03:02  Israel Non Ashkenazi Jews 8.800080
 60  DRB1*04-DQA1*03:01-DQB1*03:02  Croatia Gorski Kotar Region 8.600063
 61  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 8.5301833
 62  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 8.5000135
 63  DRB1*09:01-DQA1*03:02-DQB1*03:03  South Korea pop 1 8.3000324
 64  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:02  England pop 6 8.2000177
 65  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Siberia Kushun Buryat 8.000025
 66  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Kushun Buryat 8.000025
 67  DRB1*04-DQA1*03:01-DQB1*03:02  Ukraine Khmelnytskyi 8.0000138
 68  DRB1*04:11-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 7.900019
 69  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Gomel Region 7.9000100
 70  DRB1*13:01-DQA1*03:02-DQB1*03:03:02  Cameroon Yaounde 7.900092
 71  DRB1*04:01-DQA1*03:01-DQB1*03:01  Mongolia Tarialan Khoton 7.800085
 72  DQA1*03-DQB1*03:02  Israel Iranian Jews 7.7000101
 73  DQA1*03-DQB1*03:02  Japan Fukuoka 7.600086
 74  DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 7.58251,064
 75  DRB1*04:02-DQA1*03:01-DQB1*03:03  Iran Azeri 7.5000100
 76  DRB1*04:07-DQA1*03-DQB1*03:02  Brazil Central Plateau Xavante 7.400074
 77  DQA1*03-DQB1*03:02  Belgium pop 2 7.3000715
 78  DQA1*03-DQB1*03:03  China, Xinjiang Uyghur Autonomous Region Han 7.140070
 79  DRB1*04:11-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 7.100049
 80  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Siberia Gvaysugi Udege 7.100025
 81  DRB1*04-DQA1*03:01:01-DQB1*03:02  Iran 7.000058
 82  DRB1*04-DQA1*03:01-DQB1*03:02  Czech Republic pop 3 6.9000180
 83  DQA1*03-DQB1*03:02  India Bombay 6.800059
 84  DRB1*04:04-DQA1*03-DQB1*03:02  Brazil Central Plateau Xavante 6.800074
 85  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  China Canton Han 6.8000264
 86  B*35-C*04-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 6.250072
 87  DQA1*03-DQB1*03:02  China, Xinjiang Uyghur Autonomous Region Hui 6.250040
 88  DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Settat Chaouya 6.200098
 89  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Smolensk 6.1000156
 90  DQA1*03-DQB1*03:01  France Ceph 6.0000124
 91  DQA1*03-DQB1*03:01  Russia Tuva pop 2 6.0000169
 92  DQA1*03-DQB1*03:02  Israel Moroccan Jews 6.0000113
 93  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Khabarovsk Evenki 6.000025
 94  DRB1*04:08-DQA1*03-DQB1*03:02  Russia Siberia Khabarovsk Evenki 6.000025
 95  DRB1*04:07-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 5.9000135
 96  DRB1*04:11-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 5.9000135
 97  A*02-B*51-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 5.800039
 98  DQA1*03-DQB1*03:02  Gambia 5.8000146
 99  DQA1*03-DQB1*03:02  China, Xinjiang Uyghur Autonomous Region Kazakh 5.770052
 100  DQA1*03-DQB1*03:02  China, Xinjiang Uyghur Autonomous Region Han 5.710070

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 1,991) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  


   

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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