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 90 (from 90) 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-DPB1*04:01  Germany DKMS - German donors 0.88043,456,066
 4  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
 5  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
 6  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
 7  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
 8  A*02:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.7000298
 9  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
 10  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
 11  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
 12  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.47641,075
 13  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
 14  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
 15  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
 16  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 17  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 18  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
 19  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
 20  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
 21  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.223814,339
 22  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.20741,075
 23  A*03:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 24  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
 25  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
 26  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.18701,999
 27  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
 28  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
 29  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 30  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
 31  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
 32  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10811,075
 33  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
 34  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
 35  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
 36  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 37  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
 38  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African 0.084628,557
 39  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Russia Karelia 0.08381,075
 40  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.07104,856
 41  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
 42  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
 43  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
 44  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
 45  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*09:01  Russia Karelia 0.05651,075
 46  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*20:01  Russia Karelia 0.05651,075
 47  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05651,075
 48  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
 49  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 50  A*23:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 51  A*25:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 52  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 53  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 54  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
 55  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
 56  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
 57  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
 58  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*29:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 60  A*31:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 61  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
 62  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
 63  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
 64  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
 65  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
 66  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
 67  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02204,856
 68  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
 69  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
 70  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
 71  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
 72  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
 73  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
 74  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
 75  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
 76  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
 77  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
 78  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 79  A*33:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 80  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
 81  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 0.010350,614
 82  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
 83  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 84  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Vietnamese 0.008043,540
 85  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
 86  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
 87  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
 88  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Korean 0.000399077,584
 89  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 0.000148024,582
 90  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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