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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,219) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-C*15:09-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 5.223967
 2  A*24:02-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 3  A*24:07-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 4  A*11:01-B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 5  A*11:01-B*51:01-DRB1*14:04  China Southwest Dai 2.8000124
 6  B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 7  A*02-B*51-DRB1*14  Pakistan Mixed Pathan 2.5000100
 8  A*02:01-B*51:01-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 2.4190124
 9  A*02-B*51-DRB1*14-DQB1*05  Mexico Guanajuato, Guanajuato city 2.272722
 10  A*02-B*51-DRB1*14-DQB1*05  Mexico Veracruz, Poza Rica 2.222245
 11  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 2.000075
 12  A*02:01-B*51:01-C*02:02-DRB1*14:54-DQA1*01:04-DQB1*05:03  United Arab Emirates Abu Dhabi 1.920052
 13  A*24:02-B*51:02-DRB1*14:04  Malaysia Mandailing 1.851927
 14  A*74:01-B*51:01-DRB1*14:04  Malaysia Kelantan 1.785728
 15  A*24-B*51-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 16  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 17  A*02-B*51-DRB1*14  Brazil Parana Oriental 1.500033
 18  A*68-B*51-DRB1*14  Brazil Parana Oriental 1.500033
 19  B*51-DRB1*14  Macedonia 1.3986286
 20  A*24:07-B*51:01-DRB1*14:04  Malaysia Pahang Semai 1.320038
 21  A*02:02-B*51:08-DRB1*14:01  Azores Oriental Islands 1.300043
 22  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 23  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 24  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 1.2605119
 25  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Hidalgo Rural 1.234681
 26  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 1.1905168
 27  A*02:01-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 28  A*68:01-B*51:01-C*08:01-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 29  A*24:02-B*51:10-C*15:02-DRB1*14:07-DQB1*03:18  Colombia North Chimila Amerindians 1.063847
 30  A*11-B*51-DRB1*14  India sub-Himalayan West Bengal Kami 1.0500158
 31  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Quintana Roo, Cancun 1.041748
 32  A*11:01:01-B*51:01:01-DRB1*14:01:01  Portugal Center 1.000050
 33  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 34  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.9934151
 35  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9709824
 36  A*02-B*51-DRB1*14-DQB1*05  Mexico Mexico City South 0.961552
 37  A*02-B*51-DRB1*14  Albania pop 2 0.9600432
 38  A*02-B*51-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 39  A*24-B*51-DRB1*14:06-DQB1*03:04  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 40  A*11-B*51-C*14-DRB1*14  Myanmar Shan 0.926054
 41  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9102824
 42  A*23-B*51-C*15-DRB1*14  Iran pop 4 0.9000855
 43  A*02-B*51-DRB1*14  Macedonia 0.8741286
 44  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 0.8721171
 45  A*02:11:01-B*51:01:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.8620174
 46  A*02:52-B*51:01-DRB1*14:01-DQB1*05:02  Iran Saqqez-Baneh Kurds 0.833360
 47  A*02-B*51-DRB1*14:46-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 48  A*23-B*51-DRB1*14:03-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 49  A*68-B*51-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 50  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.8287181
 51  A*11-B*51-DRB1*14-DQB1*05  Mexico Colima, Colima city 0.819761
 52  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 0.819761
 53  A*02:01-B*51:01-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.8060124
 54  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 55  A*26-B*51-C*07-DRB1*14  Macedonia MBMDR - Albanian 0.7812128
 56  A*03:01-B*51:01-C*07:01-DRB1*14:24-DQB1*06:04  Iran Gorgan 0.780064
 57  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.7692192
 58  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.76731,173
 59  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.76731,173
 60  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.7435266
 61  A*31-B*51-DRB1*14:02-DQB1*03:01  Bolivia Quechua 0.720069
 62  A*02-B*51-C*15-DRB1*14  Macedonia 0.6993286
 63  A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 64  A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 65  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 66  A*11:01-B*51:01-DRB1*14:04  Israel Iraq Jews 0.674013,270
 67  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.6637226
 68  A*02-B*51-C*05-DRB1*14  Macedonia MBMDR - Macedonian Muslims 0.657976
 69  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 70  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 71  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Mexico City East 0.625079
 72  A*02-B*51-DRB1*14-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 73  A*02:01-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.6061330
 74  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Zacatecas, Zacatecas city 0.595284
 75  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 76  A*26:01:01-B*51:01:01-C*07:06:01-DRB1*14:54:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 77  A*23-B*51-DRB1*14:02-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 78  A*02:02-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 79  A*24:02-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 80  A*36-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 81  A*01:01-B*51:01-DRB1*14:01  Israel Iran Jews 0.56508,153
 82  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 0.5464183
 83  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 0.526395
 84  A*33-B*51-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 0.526395
 85  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 86  A*02:01:01-B*51:01:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 87  B*51:01:01-C*14:02:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 88  B*51:01:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 89  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Sonora, Hermosillo 0.505199
 90  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Baja Californa, Mexicali 0.5000100
 91  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 92  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 93  A*02-B*51-DRB1*14-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.4630106
 94  A*01-B*51-DRB1*14-DQB1*05  Mexico Coahuila Rural 0.4587216
 95  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.4587216
 96  A*02:11:01-B*51:01:01-C*15:02:01-DRB1*14:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 97  A*03:01:01-B*51:01:01-C*04:01:01-DRB1*14:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 98  A*02:01-B*51:01-C*01:02-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.45401,028
 99  A*03-B*51-DRB1*14-DQA1*01:01-DQB1*05:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 100  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.4217830

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 1,219) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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