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 77 (from 77) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Jalisco, Tlaquepaque 1.282139
 3  A*24:02-B*50:01-C*06:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 4  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Veracruz, Cordoba 0.892956
 5  A*23-B*50-DRB1*11-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 6  A*03:01:01-B*50:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 7  A*26:01-B*50:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 8  A*24:02-B*50:01-C*04:01-E*01:01:01-F*01:03:01-G*01:04-DRB1*11:04-DQA1*03:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 9  A*03-B*50-DRB1*11-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 10  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 11  A*11-B*50-DRB1*11-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 12  A*23-B*50-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 13  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.2053485
 14  A*66-B*50-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.1848539
 15  A*03-B*50-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 16  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 17  A*02:05-B*50:01-C*05:01-DRB1*11:03-DQB1*03:01  Italy pop 5 0.1400975
 18  A*02:05-B*50:02-C*06:02-DRB1*11:03-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 19  A*30-B*50-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 20  A*02:05-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.06904,856
 21  A*02-B*50-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 22  A*01-B*50-DRB1*11-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 23  A*02-B*50-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.0600833
 24  A*23-B*50-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.0600833
 25  A*29:01-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05641,075
 26  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.05042,492
 27  A*01:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 28  A*02:05-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 29  A*02-B*50-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 30  A*02:01-B*50:01-C*01:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*02:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*02:01-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  A*02:05-B*50:01-C*06:02-DRB1*11:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 34  A*02:05-B*50:01-C*06:02-DRB1*11:14-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*23:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*23:01-B*50:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*02:05-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.03394,204
 38  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*23-B*50-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 40  A*24-B*50-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 41  A*68-B*50-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 42  A*01:01-B*50:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 43  A*02:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 44  A*24:02-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 45  A*32:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 46  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01704,204
 47  A*02:05-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.01655,849
 48  A*11:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01615,829
 49  A*23:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01504,856
 50  A*23:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01284,204
 51  A*30:01-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01194,204
 52  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.011811,446
 53  A*02:05-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 54  A*11:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 55  A*24:03-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 56  A*32:01-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 57  A*68:38-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 58  A*02:05-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.009311,446
 59  A*02:09-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 60  A*24:02-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00865,849
 61  A*33:03-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00865,849
 62  A*33:03-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 63  A*02:11-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 64  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006523,595
 65  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 66  A*03:02-B*50:01-C*06:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 67  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004323,595
 68  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 69  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 70  A*02:01:01-B*50:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 71  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 72  A*68:01:02-B*50:01:01-C*06:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 73  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 74  A*26:01:01-B*50:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001923,595
 75  A*26:16-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001923,595
 76  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001623,595
 77  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001423,595

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).




   

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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