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 49 (from 49) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 2.3000250
 2  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 1.0000250
 3  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:04:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 4  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 5  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 6  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01  England North West 0.3000298
 7  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.23181,510
 9  A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 10  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 11  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.13102,411
 12  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.12901,159
 13  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.08401,463
 14  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 15  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05641,075
 16  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.052023,595
 17  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 18  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.04605,849
 19  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.036523,595
 20  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.03604,204
 21  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.03504,856
 22  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.034223,595
 23  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*32:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02402,492
 26  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.02143,456,066
 27  A*02:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 28  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.02002,492
 29  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01863,456,066
 30  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01793,456,066
 31  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01723,456,066
 32  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.01495,829
 33  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01253,456,066
 34  A*33:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01234,204
 35  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 36  A*31:12-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 37  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01083,456,066
 38  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01073,456,066
 39  A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00955,829
 40  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008911,446
 41  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00862,492
 42  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008111,446
 43  A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00645,829
 44  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.005623,595
 45  A*68:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 46  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004323,595
 47  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003423,595
 48  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002223,595
 49  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595

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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