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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Displaying 1 to 100 (from 397) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*27-DRB1*01-DQB1*05  Mexico Colima Rural 2.272743
 2  B*27:05-DRB1*01:01-DQB1*05:01  South Korea pop 3 1.7000485
 3  A*11-B*27-DRB1*01-DQB1*05  Mexico Colima, Colima city 1.639361
 4  A*32-B*27-DRB1*01-DQB1*05  Mexico Coahuila, Saltillo 1.369972
 5  A*11-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 6  A*11-B*27-DRB1*01-DQB1*05  Mexico Nuevo Leon, Monterrey city 1.3274226
 7  A*11-B*27-DRB1*01-DQB1*05  Mexico Guanajuato, Leon 1.282178
 8  A*02-B*27-DRB1*01-DQB1*05  Mexico San Luis Potosi Rural 1.149487
 9  A*02-B*27-DRB1*01-DQB1*05  Mexico Colima Rural 1.136443
 10  A*11-B*27-DRB1*01-DQB1*05  Mexico Colima Rural 1.136443
 11  A*11-B*27-DRB1*01-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 12  A*26-B*27-DRB1*01-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 13  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 1.1000485
 14  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 1.0417192
 15  A*11-B*27-DRB1*01-DQB1*05  Mexico Nayarit, Tepic 1.030997
 16  A*11-B*27-DRB1*01-DQB1*05  Mexico Sonora, Hermosillo 1.010199
 17  A*11:01-B*27:03-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 1.0000150
 18  A*11-B*27-DRB1*01-DQB1*05  Mexico Baja California Rural 1.000050
 19  B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Ireland South 1.0000250
 20  A*11-B*27-DRB1*01-DQB1*05  Mexico Sinaloa, Culiacán 0.9709103
 21  A*11-B*27-DRB1*01-DQB1*05  Mexico Durango, Durango city 0.9677153
 22  A*11-B*27-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.9524103
 23  A*11-B*27-DRB1*01-DQB1*05  Mexico Zacatecas Rural 0.9294266
 24  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.910777,584
 25  A*68:01-B*27:01-DRB1*01:01-DQB1*05:01  Iran Yazd 0.892956
 26  A*26-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 27  A*24-B*27-DRB1*01-DQB1*05  Mexico Colima, Colima city 0.819761
 28  A*26-B*27-DRB1*01-DQB1*05  Mexico Colima, Colima city 0.819761
 29  A*11:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 30  A*03:02-B*27:01-C*12:03-DRB1*01:01-DQB1*05:01  Iran Gorgan 0.780064
 31  A*11-B*27-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.67001,189
 32  A*11-B*27-C*01-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.66221,743
 33  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 34  A*11-B*27-DRB1*01-DQB1*05  Mexico Mexico City Center 0.6494152
 35  A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.63421,510
 36  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 37  A*11-B*27-DRB1*01-DQB1*05  Mexico Guanajuato Rural 0.6135162
 38  A*02-B*27-DRB1*01-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 39  A*11-B*27-DRB1*01-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 40  A*03:01-B*27-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 41  A*11-B*27-DRB1*01-DQB1*05  Mexico Jalisco, Zapopan 0.5952168
 42  A*11-B*27-DRB1*01-DQB1*05  Mexico Zacatecas, Zacatecas city 0.595284
 43  A*24-B*27-DRB1*01-DQB1*05  Mexico Zacatecas, Zacatecas city 0.595284
 44  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.58981,075
 45  A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*31-B*27-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.5814171
 47  A*24:02-B*27-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 48  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.54704,335
 49  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.5210496
 50  A*02:01:01:01-B*27:05:02-C*02:02:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 51  A*01-B*27-DRB1*01-DQB1*05  Mexico Nayarit, Tepic 0.515597
 52  A*02-B*27-DRB1*01-DQB1*05  Mexico Nayarit, Tepic 0.515597
 53  A*11-B*27-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 0.5000100
 54  A*01:01-B*27:05-DRB1*01:01-DQB1*05:01  Peru Titikaka Lake Uros 0.4800105
 55  A*02-B*27-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 56  A*11-B*27-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.4587216
 57  A*02-B*27-DRB1*01-DQB1*05  Mexico Nuevo Leon Rural 0.4545439
 58  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.441623,595
 59  A*03-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 60  A*11-B*27-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.4298348
 61  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.42551,510
 62  A*11-B*27-DRB1*01-DQB1*05  Mexico Chihuahua Chihuahua City 0.4202119
 63  A*11-B*27-DRB1*01-DQB1*05  Mexico Chiapas Rural 0.4132121
 64  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 65  A*26-B*27-C*01:02-DRB1*01-DQB1*05  Russia North Ossetian 0.3900127
 66  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.34761,075
 67  A*11-B*27-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 68  A*26-B*27-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 69  A*31-B*27-DRB1*01:03-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.3289150
 70  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.32701,999
 71  A*02:01:01-B*27:05:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 72  A*02:01:01-B*27:05:02-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:02-DPB1*04:02:01  Russia Belgorod region 0.3268153
 73  A*03:01:01-B*27:05:02-C*04:01:01-DRB1*01:01:01-DQA1*04:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 74  A*01-B*27-DRB1*01-DQB1*05  Mexico Mexico City Center 0.3247152
 75  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.31661,376
 76  A*68:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 77  A*02-B*27-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.3120641
 78  A*25-B*27-DRB1*01-DQB1*05  Mexico Guanajuato Rural 0.3067162
 79  A*01:01-B*27:05-C*07:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.3000298
 80  A*11:01-B*27:05-C*01:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.3000298
 81  A*33-B*27-DRB1*01-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 82  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.277614,339
 83  A*11-B*27-DRB1*01-DQB1*05  Mexico Sinaloa Rural 0.2732183
 84  A*26-B*27-DRB1*01-DQB1*05  Mexico Sinaloa Rural 0.2732183
 85  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.26651,242,890
 86  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.26491,510
 87  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 88  A*68:01:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 89  A*69:01-B*27:05:02-C*02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 90  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 91  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 92  A*02:01-B*27:05-C*01:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 93  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 94  A*02-B*27-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.2560585
 95  A*02-B*27-DRB1*01-DQB1*05  Mexico Sonora Rural 0.2538197
 96  A*11-B*27-DRB1*01-DQB1*05  Mexico Sonora Rural 0.2538197
 97  A*11-B*27-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.2427824
 98  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.242235,791
 99  A*02-B*27-C*01-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.24004,510
 100  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463

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 397) 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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