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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26-B*38-DRB1*04:02-DQB1*03:02  Bolivia Quechua 1.450069
 2  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 1.2100124
 3  A*26-B*38-DRB1*04:02-DQB1*03:02  Macedonia pop 3 1.2000172
 4  A*01:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:06-DRB1*04:02-DQA1*01:03-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 5  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.4329339
 6  B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 7  A*68:01:01:02-B*38:01:01-C*06:02:01:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 9  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 10  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*04:01  Russia Karelia 0.34181,075
 11  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.28101,999
 12  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.26801,463
 13  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 14  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.253423,595
 15  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.24304,856
 16  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 17  A*03:02:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 18  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 19  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 20  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 21  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.13251,510
 22  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.10801,463
 23  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 24  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 25  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09681,075
 26  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.09404,856
 27  A*26-B*38-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 28  A*03:01:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 29  A*03:01-B*38:01-C*04:01-DRB1*04:02-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05621,075
 30  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.05063,456,066
 31  A*02:05-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 32  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 33  A*11:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 34  A*24:02-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 35  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 36  A*03:02-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*32:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*68:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*03:01:01:01-B*38:09-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 41  A*30:02:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*31:01:02:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.030823,595
 44  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.02323,456,066
 45  A*24:02-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.02304,856
 46  A*68:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 47  A*02:01-B*38:02-C*07:02-DRB1*04:02-DQB1*03:02  India Central UCBB 0.01194,204
 48  A*02:05-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 49  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.008623,595
 50  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.006923,595
 51  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.006523,595
 52  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.006123,595
 53  A*31:01:02-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004923,595
 54  A*30:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 55  A*02:01:01-B*38:01:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 56  A*02:05:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 57  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595

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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