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 47 (from 47) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*50-DRB1*01-DQB1*05  Mexico Campeche Rural 3.191547
 2  A*32-B*50-DRB1*01-DQB1*05  Mexico Jalisco, Tlaquepaque 1.282139
 3  A*23-B*50-DRB1*01-DQB1*05  Mexico Guanajuato, Leon 0.641078
 4  A*02-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 5  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.4329339
 6  A*02-B*50-DRB1*01-DQB1*05  Mexico Durango, Durango city 0.3226153
 7  A*02-B*50-DRB1*01-DQB1*05  Mexico Guanajuato Rural 0.3067162
 8  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 9  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*66:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 11  A*02:01:01-B*50:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 13  A*30-B*50-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.12611,743
 14  A*02-B*50-DRB1*01-DQB1*05  Mexico Puebla Rural 0.1199833
 15  A*29-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 16  A*02-B*50-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.07731,743
 17  A*33:01-B*50:01-C*04:01-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 18  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 19  A*30-B*50-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.0602830
 20  A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 21  A*03:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 22  A*11-B*50-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 23  A*01:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*02-B*50-C*15-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 27  A*23-B*50-C*04-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 28  A*26-B*50-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 29  A*29-B*50-C*06-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 30  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 31  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  India West UCBB 0.01725,829
 32  A*02:05-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.01195,849
 33  A*33:03-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 34  A*23:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.01102,411
 35  A*29:02-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.01102,411
 36  A*02-B*50-C*06-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 37  A*03-B*50-C*06-DRB1*01-DQB1*05-DPB1*01  Norway ethnic Norwegians 0.01004,510
 38  A*69:01-B*50:01-C*06:06-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 39  A*03:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008611,446
 40  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.006423,595
 41  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005823,595
 42  A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 43  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  India South UCBB 0.004411,446
 44  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 45  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 46  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001523,595
 47  A*68:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.000467023,595

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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