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 44 (from 44) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Parda 0.5882170
 2  A*02:01-B*07:02-C*07:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*11:04-DQA1*02:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 3  B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 4  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 5  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 6  A*26:01-B*07:05-C*07:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 7  A*31:01-B*07:02-C*07:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 8  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.18201,159
 9  A*01:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.14052,492
 10  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 11  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.095823,595
 12  A*01:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 13  A*01:01-B*07:02-C*07:02-DRB1*11:04-DQA1*02:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 14  A*01:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.064211,446
 15  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.05804,856
 16  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01-DPB1*20:01  Russia Karelia 0.05641,075
 17  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04801,159
 18  A*24:02-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.04292,492
 19  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 20  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.035923,595
 21  A*02:22-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 22  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*24:02-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*24:02-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.03364,204
 25  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.02595,849
 26  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.023023,595
 27  A*24:02-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 28  A*31:12-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01234,204
 29  A*24:02-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01194,204
 30  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01193,456,066
 31  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01193,456,066
 32  A*68:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 33  A*02:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01073,456,066
 34  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006523,595
 35  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006023,595
 36  A*02:131-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.005611,446
 37  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.005423,595
 38  A*02:06-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 39  A*24:02-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 40  A*26:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 41  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002223,595
 42  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 43  A*03:01:01-B*07:14-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 44  A*68:01:02-B*07:04-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001123,595

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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