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 75 (from 75) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.025423,595
 2  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 3  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 4  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01073,456,066
 5  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06751,510
 6  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.146823,595
 7  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 8  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 9  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQA1*05:10-DQB1*03:01  Brazil Puyanawa 0.6667150
 10  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 11  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10004,856
 12  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 13  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01533,456,066
 14  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06683,456,066
 15  A*02:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02763,456,066
 16  A*02:05:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 17  A*02:125N-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 18  A*02:17-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 19  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.068423,595
 20  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*03:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01504,856
 22  A*03:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 23  A*03:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01653,456,066
 24  A*03:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 25  A*11:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09861,510
 26  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.037623,595
 27  A*11:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 28  A*11:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01633,456,066
 29  A*24:02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.25841,510
 30  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.16561,510
 31  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.192423,595
 32  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 33  A*24:02:01-B*40:02:14-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000192423,595
 34  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 35  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Poland 1.0000200
 36  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 37  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 38  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03223,456,066
 39  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.11441,075
 40  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.05273,456,066
 41  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01023,456,066
 42  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.10681,075
 43  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*09:01  Russia Karelia 0.06441,075
 44  A*24:03-B*40:02-C*02:02:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 45  A*24:03-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 46  A*25:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005323,595
 47  A*25:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 48  A*26:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*26:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.018723,595
 50  A*31:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.025023,595
 51  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 52  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.211323,595
 53  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 54  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 56  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05301,159
 57  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 58  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00725,849
 59  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04304,204
 60  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 61  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01363,456,066
 62  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06773,456,066
 63  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.10931,075
 64  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.05493,456,066
 65  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.11661,075
 66  A*32:05-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00955,849
 67  A*33:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 68  A*33:03:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*66:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 70  A*68:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000184723,595
 71  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 72  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.034423,595
 73  A*68:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01153,456,066
 74  A*68:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.08671,075
 75  A*68:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  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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