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 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 1.0420496
 2  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.8333120
 3  A*31:01-B*08:01-DRB1*01:01-DQB1*05:01  Iran Saqqez-Baneh Kurds 0.833360
 4  A*03:02-B*08:01-C*15:02-DRB1*01:01-DQB1*05:01  Iran Gorgan 0.780064
 5  A*24:02-B*08:01-C*07:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.7000298
 6  A*01:01-B*08:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 7  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01:03  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*24:02-B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 9  B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 10  A*02:01-B*08:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 11  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.21181,376
 12  A*01:01-B*08:01-C*07:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 13  A*23:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 14  A*68:01-B*08:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 15  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.13801,999
 16  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.13775,926
 17  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.113323,595
 18  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10791,075
 19  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.08013,456,066
 20  A*02:01-B*08:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 21  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 22  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*87:01  Russia Karelia 0.05601,075
 23  A*03:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.05581,075
 24  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04603,456,066
 25  A*30:02-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 26  A*03:02-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*29:02-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03383,456,066
 29  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03331,510
 30  A*01:01:33-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02943,456,066
 33  A*02:11-B*08:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 34  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01782,492
 35  A*02:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01433,456,066
 36  A*26:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.013111,446
 37  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 38  A*02:05-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 39  A*11:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 40  A*29:02-B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 41  A*74:01-B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 42  A*02:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 43  A*02:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 44  A*03:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00745,829
 45  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005323,595
 46  A*31:01-B*08:01-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 47  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003723,595
 48  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003323,595
 49  A*02:11-B*08:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.002311,446
 50  A*25:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 51  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 52  A*01:01:01-B*08:01:08-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 53  A*03:02:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 54  A*24:02:01-B*08:01:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 55  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 56  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001923,595
 57  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.000942323,595

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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