Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 90 (from 90) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15-C*03:03-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 2.6670150
 2  A*02:01-B*15:39-C*03:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*04:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.8772130
 3  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 4  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 5  A*03:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 6  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.40315,926
 7  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 8  A*31-B*15-C*03:03-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 9  A*23:01-B*15:05-C*03:03-DRB1*04:01-DQA1*01:04-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 10  A*24:02-B*15:24-C*03:03-DRB1*04:01-DQA1*05:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 11  A*11:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 12  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 13  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  USA San Diego 0.2600496
 14  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.24871,075
 15  A*68:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.24761,376
 16  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.23161,075
 17  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 18  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.211514,339
 19  A*02:01-B*15:01-C*03:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 20  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.19211,376
 21  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.169623,595
 22  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.15881,510
 23  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 24  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 25  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.13671,463
 26  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.13565,926
 27  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.12901,159
 28  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.12673,456,066
 29  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.12375,926
 30  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.11261,075
 31  A*03:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 32  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09441,075
 33  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 34  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.08601,075
 35  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.06093,456,066
 36  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 37  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 38  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.04583,456,066
 39  A*02:42-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.04401,772
 40  A*23:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 41  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 42  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04333,456,066
 43  A*11:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 44  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 45  A*32:01-B*15:71-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 46  A*31:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04004,856
 47  A*11:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03991,510
 48  A*11:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 49  A*32:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 50  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 51  A*11:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*24:02-B*15:146-C*03:03-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 54  A*29:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  A*68:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*24:02:01:01-B*15:33-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03273,456,066
 58  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.029223,595
 59  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.02851,510
 60  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.022823,595
 61  A*25:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 62  A*26:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 63  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.019823,595
 64  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India West UCBB 0.01725,829
 65  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01613,456,066
 66  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.016023,595
 67  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01513,456,066
 68  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01373,456,066
 69  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012423,595
 70  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01203,456,066
 71  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 72  A*69:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 73  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*01:01  Germany DKMS - German donors 0.01183,456,066
 74  A*32:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01143,456,066
 75  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01003,456,066
 76  A*03:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 77  A*33:03-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 78  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.008511,446
 79  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005423,595
 80  A*02:01-B*15:05-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 81  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 82  A*68:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003623,595
 83  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.002611,446
 84  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002423,595
 85  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002423,595
 86  A*68:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 87  A*24:02:01-B*15:07:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 88  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001623,595
 89  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00056202,492
 90  A*03:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00056202,492

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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