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 76 (from 76) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Colombia North Wiwa El Encanto 0.961552
 2  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 3  A*02:01:01-B*39:06:02-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*23:01-B*39:01-C*12:03-E*01:03:02-F*01:03:01-G*01:01-DRB1*16:01:01-DQA1*01:02-DQB1*05:02:01  Portugal Azores Terceira Island 0.4386130
 5  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 6  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.33604,856
 7  A*02-B*39-C*12:03-DRB1*16:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 8  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 9  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.21601,159
 11  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 13  A*24:02-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.09504,856
 14  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.09401,999
 15  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08601,159
 16  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.08204,856
 17  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.068123,595
 18  A*24:02-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 19  A*24:02-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 20  A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.06621,510
 21  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.05904,856
 22  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.059023,595
 23  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*02:01  Russia Karelia 0.05651,075
 24  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  India North UCBB 0.05135,849
 25  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 26  A*30:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 27  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA African American pop 4 0.04402,411
 28  A*32:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA African American pop 4 0.04402,411
 29  A*29:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 30  A*31:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 31  A*02:01:01-B*39:06:02-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.040123,595
 32  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 34  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*33:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*68:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 41  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*02:01-B*39:05-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 43  A*24:02-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 44  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.026723,595
 45  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.020223,595
 46  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  India West UCBB 0.01725,829
 47  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 48  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01573,456,066
 49  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.015323,595
 50  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01473,456,066
 51  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012423,595
 52  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 53  A*24:05-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 54  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  India Central UCBB 0.01194,204
 55  A*66:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01104,856
 56  A*24:93-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 57  A*29:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 58  A*32:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 59  A*68:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 60  A*29:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.009323,595
 61  A*03:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  India North UCBB 0.00855,849
 62  A*03:01:01-B*39:05:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008523,595
 63  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007823,595
 64  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006723,595
 65  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006423,595
 66  A*23:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004623,595
 67  A*02:01:01-B*39:05:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004523,595
 68  A*24:02:01-B*39:06:02-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 69  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 70  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 71  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 72  A*02:17:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 73  A*66:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 74  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 75  A*31:01:02-B*39:05:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001923,595
 76  A*26:08-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001823,595

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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