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 100 (from 100) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Ireland South 1.6000250
 2  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Ireland South 1.0000250
 3  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.944431,412
 4  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.88043,456,066
 5  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 6  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.837723,595
 7  A*03:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 8  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP European Caucasian 0.70071,242,890
 9  A*02:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.7000298
 10  A*24:02:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 11  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP North American Amerindian 0.619735,791
 12  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.5210496
 13  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.47641,075
 14  A*02:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.46361,510
 15  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.42945,926
 16  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 17  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 18  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 19  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 0.330211,499
 20  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*126:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 22  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.230131,412
 23  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.223814,339
 24  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.20741,075
 25  A*03:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 26  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Middle Eastern or North Coast of Africa 0.190970,890
 28  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.18701,999
 29  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Caribean Hispanic 0.1842115,374
 30  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.14743,456,066
 31  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 32  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Caribean Black 0.120233,328
 33  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African American pop 2 0.1098416,581
 34  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10811,075
 35  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10073,456,066
 36  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Mexican or Chicano 0.0923261,235
 37  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.089523,595
 38  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 39  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.085231,412
 40  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Hispanic South or Central American 0.0851146,714
 41  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African 0.084628,557
 42  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Russia Karelia 0.08381,075
 43  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.07104,856
 44  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.07043,456,066
 45  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.06883,456,066
 46  A*68:01:02:02-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 47  A*01:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.064923,595
 48  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*09:01  Russia Karelia 0.05651,075
 49  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*20:01  Russia Karelia 0.05651,075
 50  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05651,075
 51  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.05403,456,066
 52  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 53  A*23:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 54  A*25:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 55  A*24:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.043131,412
 56  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 57  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 58  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.04153,456,066
 59  A*24:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.04023,456,066
 60  A*11:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.03933,456,066
 61  A*24:02:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.039023,595
 62  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*29:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*31:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*11:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.033523,595
 66  A*02:02:01-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 67  A*24:02:01:01-B*15:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 68  A*68:01:01:02-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.030431,412
 70  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.02753,456,066
 71  A*32:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.024031,412
 72  A*25:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.022623,595
 73  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02204,856
 74  A*11:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.020231,412
 75  A*26:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.019123,595
 76  A*32:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01873,456,066
 77  A*31:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01843,456,066
 78  A*68:01:02-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.018023,595
 79  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01653,456,066
 80  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*01:01  Germany DKMS - German donors 0.01483,456,066
 81  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01453,456,066
 82  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01363,456,066
 83  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*05:01  Germany DKMS - German donors 0.01323,456,066
 84  A*32:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012923,595
 85  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 86  A*33:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 87  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01043,456,066
 88  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 0.010350,614
 89  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.010023,595
 90  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 91  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Vietnamese 0.008043,540
 92  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Southeast Asian 0.006927,978
 93  A*68:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.006231,412
 94  A*26:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.005031,412
 95  A*29:02:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003323,595
 96  A*68:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002523,595
 97  A*02:125N-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Belgium 0.002031,412
 98  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Korean 0.000399077,584
 99  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 0.000148024,582
 100  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP South Asian Indian 0.0000900185,391

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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