Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 73 (from 73) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32-B*50-DRB1*13-DQB1*06  Mexico Colima Rural 1.136443
 2  A*02-B*50-DRB1*13-DQB1*06  Mexico Sonora Rural 1.0152197
 3  A*69:01-B*50:01-C*04:01-DRB1*13:06-DQB1*06:02  Iran Gorgan 0.780064
 4  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 5  A*32-B*50-DRB1*13:01-DQB1*06:03  Bolivia La Paz Aymaras 0.575087
 6  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.560514,339
 7  A*68-B*50-DRB1*13-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.4630106
 8  A*03:01-B*50:01-C*06:02-E*01:01:01-F*01:03:01-G*01:04-DRB1*13:02-DQA1*04:01-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 9  A*26:01:01-B*50:01:01-C*02:02:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*01-B*50-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 11  A*02-B*50-DRB1*13-DQB1*06  Mexico Yucatan Rural 0.3731132
 12  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.3690271
 13  A*02-B*50-C*06:02-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 14  A*26-B*50-DRB1*13-DQB1*06  Mexico Michoacan, Morelia 0.3311150
 15  A*29:02:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQA1*02:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01:01  Russia Belgorod region 0.3268153
 16  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*29-B*50-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 19  A*68-B*50-DRB1*13-DQB1*06  Mexico Veracruz, Xalapa 0.2674187
 20  A*02-B*50-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226
 21  A*02-B*50-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 22  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 23  A*32:01-B*50:01-C*02:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 24  A*68-B*50-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.0924539
 25  A*26:01-B*50:01-C*04:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.08702,411
 26  A*02-B*50-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 27  A*03-B*50-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 28  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 29  A*02:05-B*50:02-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 30  A*02-B*50-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 31  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.043711,446
 32  A*23:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 33  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 34  A*66:01-B*50:02-C*06:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 35  A*23:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*33:01-B*50:02-C*06:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*24:02:01:01-B*50:02-C*06:02:01:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*23-B*50-C*03-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 39  A*02-B*50-C*06-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 40  A*24:02-B*50:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 41  A*02-B*50-C*06-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.02951,743
 42  A*02:06:01-B*50:01:01-C*01:02:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 43  A*02:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 44  A*02:05-B*50:01-C*07:04-DRB1*13:01-DQB1*06:04  India East UCBB 0.02082,403
 45  A*23:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 46  A*68:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01975,849
 47  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.01725,829
 48  A*02:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01715,849
 49  A*01:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 50  A*03:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.010611,446
 51  A*01-B*50-C*08-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 52  A*02:01-B*50:01-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 53  A*32-B*50-C*06-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 54  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00975,849
 55  A*24:02-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00885,849
 56  A*02:05-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00875,829
 57  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 58  A*02:06-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 59  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00765,849
 60  A*02:05-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004711,446
 61  A*02:01-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 62  A*02:09-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 63  A*02:11-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 64  A*03:01-B*50:01-C*12:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 65  A*24:02-B*50:01-C*03:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 66  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 67  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 68  A*02:01:01-B*50:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002323,595
 69  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 70  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 71  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 72  A*24:02:01-B*50:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002023,595
 73  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional