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 763) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*52-DRB1*04:11-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 3.770053
 2  A*02-B*52-DRB1*04:11-DQB1*03:02  Mexico Huasteca Region Teenek 3.700055
 3  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 2.941234
 4  A*24-B*52-C*07-DRB1*04  Myanmar Kayin 2.894044
 5  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Mexico City South 2.884652
 6  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 7  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 8  A*24-B*52-DRB1*04-DQB1*03:02  Mexico Baja California Rural 2.000050
 9  A*24-B*52-C*07-DRB1*04  Myanmar Shan 1.852054
 10  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 11  A*02-B*52-C*07-DRB1*04  Myanmar Kayin 1.651044
 12  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 13  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 14  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 15  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 16  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 17  A*24-B*52-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 18  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 19  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 20  A*24-B*52-C*07-DRB1*04-DQB1*03-DPB1*05  Myanmar Kayin 1.136044
 21  A*24-B*52-C*07-DRB1*04-DQB1*05-DPB1*02  Myanmar Kayin 1.136044
 22  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 23  A*24-B*52-DRB1*04-DQB1*03:02  Mexico Veracruz, Poza Rica 1.111145
 24  A*24-B*52-DRB1*04-DQB1*05  Mexico Veracruz, Poza Rica 1.111145
 25  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 26  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 27  A*01-B*52-DRB1*04  Jordan 1.100015,141
 28  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.0703326
 29  A*24:02-B*52:01-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 30  A*68:01-B*52:01-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 31  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 1.0563142
 32  A*33-B*52-C*07-DRB1*04  Myanmar Rakhine 1.042048
 33  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 34  A*02:01-B*52:01-DRB1*04:01-DQB1*06:01  Iran Tabriz Azeris 1.030997
 35  A*11:01-B*52:01-DRB1*04:01-DQB1*03:01  Iran Tabriz Azeris 1.030997
 36  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 1.0166539
 37  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 1.000050
 38  A*34-B*52-DRB1*04  Philippines National Capital Region 1.000051
 39  A*02-B*52-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 40  A*24-B*52-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 41  A*31-B*52-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 42  A*68-B*52-DRB1*04:08-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 43  A*24-B*52-C*07-DRB1*04  Myanmar Kayah 0.909055
 44  A*33-B*52-C*12-DRB1*04  Myanmar Chin 0.909055
 45  A*24-B*52-C*15-DRB1*04  Iran pop 4 0.9000855
 46  A*02:01-B*52:01-DRB1*04:01-DQB1*03:02  Iran Yazd 0.892956
 47  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 48  A*02-B*52-DRB1*04-DQB1*03:01  Mexico Veracruz, Veracruz city 0.8721171
 49  A*11:03-B*52:01-C*07:02-DRB1*04:01-DQB1*03:01  India Northeast UCBB 0.8446296
 50  A*02-B*52-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.8403238
 51  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 52  A*24-B*52-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.8403238
 53  A*24-B*52-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 54  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 55  A*11-B*52-C*07-DRB1*04  Myanmar Kachin 0.794063
 56  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 57  A*11-B*52-C*15-DRB1*04  Myanmar Mon 0.781064
 58  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.74112,492
 59  A*24:02-B*52:01-DRB1*04:02  Israel Kavkazi Jews 0.73102,840
 60  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7229830
 61  A*11-B*52-C*01-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 62  B*52-C*01-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 63  A*02:06-B*52:01-C*03:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 64  A*24:02-B*52:01-C*03:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.6667150
 65  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.6640751
 66  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.6637226
 67  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.6623151
 68  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.6494152
 69  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:05:01  Nicaragua Mestizo (G) 0.6452155
 70  A*02-B*52-DRB1*04  Brazil Para Cord Blood Unit 0.6440841
 71  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.6135162
 72  A*02-B*52-DRB1*04-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 73  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 0.609882
 74  A*02-B*52-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.55411,173
 75  A*31-B*52-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.5464183
 76  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 77  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 78  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.533111,446
 79  A*01:01:01-B*52:01:01-C*12:03:01-DRB1*04:05:01  China Jingpo Minority 0.5210105
 80  A*01:01:01-B*52:01:01-DRB1*04:05:01  China Jingpo Minority 0.5210105
 81  A*31:01-B*52:01-DRB1*04:11  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 82  A*01-B*52-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 0.515597
 83  A*03:01-B*52:01-DRB1*04:01-DQB1*06:04  Iran Tabriz Azeris 0.515597
 84  A*03:02-B*52:01-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 0.515597
 85  A*24:02-B*52:01-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 0.515597
 86  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.51385,829
 87  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.5068296
 88  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 0.505199
 89  A*31-B*52-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 0.505199
 90  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 91  A*11:01-B*52:01-C*12:02-DRB1*04:04  Russia Bering Island Aleuts 0.4808104
 92  A*31:01:02-B*52:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 93  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.4762103
 94  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.4587216
 95  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.433411,446
 96  A*02-B*52-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.4248824
 97  A*02:01:01-B*52:01:02-C*03:03:01-DRB1*04:07  Costa Rica Amerindians (G) 0.4216125
 98  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.4210356
 99  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 100  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.4132121

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 763) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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