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 348) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*07-DRB1*11:02-DQB1*03:01  Colombia San Basilio de Palenque 2.381042
 2  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Zacatecas, Fresnillo 1.9048103
 3  A*03-B*07-DRB1*11-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 4  A*23-B*07-DRB1*11-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 5  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 1.5837221
 6  A*26:01-B*07:02-C*07:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 1.560064
 7  A*02-B*07-DRB1*11-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 8  A*24-B*07-C*07-DRB1*11-DQB1*03  Albanian Kosovo 1.2500120
 9  A*29-B*07-DRB1*11-DQB1*03:01  Mexico Quintana Roo, Cancun 1.041748
 10  A*02:01-B*07:02-C*07:02-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.0000150
 11  A*32-B*07-DRB1*11-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 12  A*26-B*07-DRB1*11-DQB1*03:01  Mexico Veracruz, Cordoba 0.892956
 13  A*23-B*07-DRB1*11-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.8403119
 14  A*30:01-B*07:02-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 15  A*01-B*07-C*07:02-DRB1*11-DQB1*03  Russia North Ossetian 0.7800127
 16  A*03-B*07-C*07:02-DRB1*11-DQB1*03  Russia North Ossetian 0.7800127
 17  A*24-B*07-DRB1*11-DQB1*03  Iraq Arabs 0.6700149
 18  A*24-B*07-C*07:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 19  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.6579150
 20  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Parda 0.5882170
 21  A*29-B*07-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 0.574787
 22  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 23  A*24-B*07-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.5076197
 24  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Sonora, Hermosillo 0.505199
 25  A*74-B*07-DRB1*11-DQB1*03:01  Mexico Sonora, Hermosillo 0.505199
 26  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 27  A*02-B*07-DRB1*11-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 28  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 29  A*68:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.4792336
 30  A*02-B*07-DRB1*11-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 31  A*24-B*07-DRB1*11-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 32  A*02:01-B*07:02-C*07:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*11:04-DQA1*02:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 33  B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 34  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 35  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 36  A*03:01-B*07:02:01-C*04:01:01-DRB1*11:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 37  A*02-B*07-DRB1*11-DQB1*03:01  Mexico Chihuahua Rural 0.4184236
 38  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 39  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 40  A*26:01-B*07:02-C*12:03-DRB1*11:01-DQA1*01:02-DQB1*03:01  Kosovo 0.4030124
 41  A*26:01-B*07:05-C*07:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 42  A*02-B*07-C*07:01-DRB1*11-DQB1*03  Russia North Ossetian 0.3900127
 43  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Sonora, Ciudad Obregón 0.3497143
 44  A*31:01-B*07:02-C*07:02-DRB1*11:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 45  B*07:02-C*07:02-DRB1*11:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 46  A*02-B*07-DRB1*11-DQB1*03:01  Mexico Guerrero state 0.3472144
 47  A*24-B*07-C*02-DRB1*11-DQB1*03  Albania pop 2 0.3400432
 48  A*26-B*07-C*15-DRB1*11-DQB1*03  Albania pop 2 0.3400432
 49  A*02-B*07-C*07:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 50  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQA1*05:10-DQB1*03:01  Brazil Puyanawa 0.3333150
 51  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 52  A*68-B*07-DRB1*11-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 53  A*03:01-B*07:02-C*01:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  South Africa Worcester 0.3000159
 54  A*23:01-B*07:05-C*02:02-DRB1*11:14-DQA1*05:01-DQB1*03:01-DPB1*04:02  South Africa Worcester 0.3000159
 55  A*30:02-B*07:02-C*07:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 56  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 57  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.2865348
 58  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 59  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.274323,595
 60  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 61  A*68:01:02-B*07:06:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 62  A*02:01:01:01-B*07:02:01-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 63  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 64  A*31:01-B*07:02-C*07:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 65  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 66  A*02-B*07-DRB1*11-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 67  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.2538197
 68  A*03-B*07-C*07-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.24171,743
 69  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 70  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 71  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:45-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 72  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*11:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 73  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 74  A*80:01:01-B*07:02:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 75  A*23:01-B*07:02-C*07:02-DRB1*11:02-DQB1*03:01  USA NMDP Black South or Central American 0.20044,889
 76  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 77  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 78  A*23-B*07-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.1848539
 79  A*32:01-B*07:05-C*07:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 80  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.18201,159
 81  A*29-B*07-DRB1*11-DQB1*03:01  Mexico Tlaxcala Rural 0.1807830
 82  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.1799833
 83  A*24:02-B*07:02-C*07:02-DRB1*11:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 84  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 85  A*24-B*07-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 86  A*03-B*07-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.16751,189
 87  A*02:01-B*07:02-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Tanzania Maasai 0.1597336
 88  A*03-B*07-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 89  A*25-B*07-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 90  A*29-B*07-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 91  A*32-B*07-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 92  A*01:01-B*07:02-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 93  A*02:02-B*07:02-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 94  A*03:01-B*07:02-DRB1*11:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 95  A*11:04-B*07:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 96  A*30-B*07-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 97  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.14285,926
 98  A*01:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.14052,492
 99  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 100  A*24:02:01-B*07:02:01-C*12:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356

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 348) 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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