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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*03-DQB1*03:02  Ecuador Cayapa 41.0000183
 2  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
 3  DRB1*04:07-DQB1*03:02  Mexico Oaxaca Mixtec 28.9000103
 4  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 28.723447
 5  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
 6  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 19.230852
 7  DRB1*04:05-DQB1*03:02  Italy Sardinia pop2 18.80001,129
 8  DRB1*04:07-DQB1*03:02  Mexico Nahua/Aztec Santo Domingo Ocotitlan 18.493273
 9  DRB1*04:07-DQB1*03:02  Mexico Oaxaca Mixe 17.800055
 10  DRB1*04:03/04:06-DQB1*03:02  Samoa 17.200029
 11  DRB1*04:04-DQB1*03:02  Mexico Oaxaca Zapotec 15.700090
 12  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 15.500055
 13  DRB1*04:02-DQA1*03-DQB1*03:02  Israel Ashkenazi Jews 14.800080
 14  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Arkhangelsk 14.800081
 15  DQA1*03-DQB1*03:02  France Ceph 14.5000124
 16  DRB1*04:01-DQB1*03:02  Germany pop 3 14.4000111
 17  DQA1*03:01-DQB1*03:02  Tunisia 14.3000100
 18  DQA1*03-DQB1*03:02  Israel Yemenite Jews 14.200076
 19  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 13.920053
 20  DRB1*04-DQA1*03:01-DQB1*03:02  Mexico Guadalajara Mestizo 13.900054
 21  DQA1*03-DQB1*03:02  Israel Ashkenazi Jews pop 2 13.4000132
 22  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 13.1000160
 23  DQA1*03-DQB1*03:02  Israel Libyan Jews 13.0000119
 24  DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 12.9000101
 25  DRB1*04:03-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Dudinka Nganasan 12.500024
 26  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
 27  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 11.940367
 28  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Vologda 11.6000121
 29  A*24-B*35:01-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 11.500039
 30  DRB1*04:07:01-DQB1*03:02/03:07-DPB1*04:02  Mexico Chihuahua Tarahumara 11.400044
 31  DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 11.3300234
 32  A*02-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 10.800089
 33  A*02-B*35-DRB1*04:07-DQB1*03:02  Guatemala Mayan 10.6000132
 34  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 10.500019
 35  DQA1*03-DQB1*03:02  Israel Arab 10.2000109
 36  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 10.200049
 37  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 10.200049
 38  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 10.000050
 39  DRB1*04:07-DQB1*03:02  Mexico Oaxaca Zapotec 9.900090
 40  A*02-B*35-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 41  A*24-B*35:04-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 42  DRB1*04:03-DQA1*03:01-DQB1*03:02  Canada British Columbia Athabaskan 9.600062
 43  DRB1*04:03-DQB1*03:02  Taiwan Aborigine pop 2 9.500048
 44  DRB1*04-DQA1*03:01-DQB1*03:02  Russia Kostroma Region 9.5000126
 45  DRB1*04-DQA1*03:01-DQB1*03:02  Belarus Brest Region 9.5000105
 46  DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 9.4406143
 47  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 9.375048
 48  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
 49  DRB1*04-DQA1*03:01-DQB1*03:02  Ukraine Lvov 9.3000102
 50  DRB1*04:07-DQB1*03:02-DMB*01:01  Ecuadorean Amerindians 9.246575
 51  A*24-B*51-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 9.220048
 52  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 9.090922
 53  A*24-B*35-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 9.0600127
 54  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 8.823534
 55  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 8.8028142
 56  DRB1*04:02-DQA1*03-DQB1*03:02  Israel Non Ashkenazi Jews 8.800080
 57  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City South 8.653852
 58  DRB1*04-DQA1*03:01-DQB1*03:02  Croatia Gorski Kotar Region 8.600063
 59  DRB1*04:17-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 8.5000135
 60  DRB1*04:02-DQB1*03:02  Israel Ashkenazi Jews pop 2 8.3000132
 61  DRB1*04:04-DQB1*03:02  Taiwan Aborigine pop 2 8.300048
 62  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 8.2090132
 63  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:02  England pop 6 8.2000177
 64  A*24-B*39-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 8.156560
 65  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 8.035756
 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  A*02-B*48-DRB1*04:03-DQB1*03:02  Peru Lamas City Lama 7.800083
 71  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 7.777845
 72  DQA1*03-DQB1*03:02  Israel Iranian Jews 7.7000101
 73  DQA1*03-DQB1*03:02  Japan Fukuoka 7.600086
 74  DRB1*04:04-DQB1*03:02  Sweden Southern Sami 7.6000130
 75  DRB1*04:02-DQB1*03:02  Israel Yemenite Jews 7.500076
 76  DRB1*04:07-DQA1*03-DQB1*03:02  Brazil Central Plateau Xavante 7.400074
 77  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 7.323260
 78  DQA1*03-DQB1*03:02  Belgium pop 2 7.3000715
 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  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 6.818222
 84  DQA1*03-DQB1*03:02  India Bombay 6.800059
 85  DRB1*04:04-DQA1*03-DQB1*03:02  Brazil Central Plateau Xavante 6.800074
 86  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 6.707382
 87  A*02-B*35-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 6.6900127
 88  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Morelos Rural 6.666730
 89  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 6.603852
 90  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 6.557461
 91  A*68-B*39-DRB1*04:07-DQB1*03:02  Guatemala Mayan 6.4000132
 92  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 6.3100105
 93  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 6.3000105
 94  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 6.250055
 95  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 6.250055
 96  DQA1*03-DQB1*03:02  China, Xinjiang Uyghur Autonomous Region Hui 6.250040
 97  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City North 6.2417751
 98  DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Settat Chaouya 6.200098
 99  DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 6.2000234
 100  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 6.1983121

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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  


   

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