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 65 (from 65) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*15:01-DRB1*04:04-DQB1*03:02  Chile Mapuche 0.770066
 2  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 3  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 4  A*02:01-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 5  A*24:02-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 6  A*33:01-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 7  A*24:02-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 8  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 9  B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 10  A*02:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 11  A*02:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02:01  England North West 0.3000298
 12  A*24:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.28481,376
 13  A*01:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 14  A*01:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 15  A*68:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 16  A*02:01-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 17  A*69:01-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 18  A*02:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11251,075
 19  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 20  A*01:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05641,075
 21  A*01:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*31:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.04661,510
 24  A*02:17-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 25  A*24:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.03593,456,066
 26  A*02:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 27  A*11:01-B*15:01-C*08:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 28  A*11:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*69:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*02:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.03123,456,066
 31  A*02:01:01-B*15:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 32  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 33  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.022023,595
 34  A*24:02-B*15:01-C*08:01-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 35  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.020323,595
 36  A*24:02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.01951,510
 37  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.018923,595
 38  A*02:01-B*15:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01203,456,066
 39  A*24:11N-B*15:01-C*12:03-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 40  A*24:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 41  A*29:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 42  A*03:01-B*15:01-C*07:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 43  A*29:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 44  A*02:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 45  A*68:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 46  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008123,595
 47  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.006523,595
 48  A*01:01-B*15:01-C*06:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 49  A*24:02-B*15:01-C*07:06-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 50  A*24:02:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004223,595
 51  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004023,595
 52  A*03:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003723,595
 53  A*01:01:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003623,595
 54  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002223,595
 55  A*02:01:01-B*15:01:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 56  A*33:03:01-B*15:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 57  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001923,595
 58  A*23:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001723,595
 59  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001723,595
 60  A*30:01:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001623,595
 61  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001423,595
 62  A*24:02:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.000851223,595
 63  A*24:07-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00075302,492
 64  A*03:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00056202,492
 65  A*03:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00056202,492

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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