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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Displaying 1 to 100 (from 132) records   Pages: 1 2 of 2  

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*03:01-B*40:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.5000298
 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*01:01:01-B*15:10:01-C*03:04:02-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.3520142
 18  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 19  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 20  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
 21  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
 22  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
 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*02:01-B*40:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 26  A*03:01-B*15:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 27  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
 28  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
 29  A*68:03-B*40:02-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 30  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.18701,999
 31  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
 32  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.18395,926
 33  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.16601,510
 34  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
 35  A*33:03:01-B*40:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 36  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 37  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
 38  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
 39  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10811,075
 40  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
 41  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
 42  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
 43  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 44  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
 45  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African 0.084628,557
 46  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Russia Karelia 0.08381,075
 47  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.07104,856
 48  A*02:01:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.07061,510
 49  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
 50  A*26:01-B*40:01-C*03:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 51  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
 52  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
 53  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.06563,456,066
 54  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
 55  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*09:01  Russia Karelia 0.05651,075
 56  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*20:01  Russia Karelia 0.05651,075
 57  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05651,075
 58  A*26:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05641,075
 59  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
 60  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 61  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 62  A*23:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 63  A*25:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 64  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 65  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 66  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
 67  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
 68  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
 69  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
 70  A*26:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India UCBB_Central Indian HLA 0.03574,204
 71  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 72  A*29:02-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 73  A*31:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 74  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
 75  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
 76  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
 77  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
 78  A*24:20-B*35:01-C*03:04-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 79  A*01:01:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.02881,510
 80  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*16:01  Germany DKMS - German donors 0.02873,456,066
 81  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
 82  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.02572,492
 83  A*03:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India UCBB_Central Indian HLA 0.02384,204
 84  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
 85  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02204,856
 86  A*02:01-B*40:06-C*03:04-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.02052,492
 87  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
 88  A*03:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01904,856
 89  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
 90  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
 91  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01813,456,066
 92  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
 93  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
 94  A*03:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.01602,492
 95  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
 96  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
 97  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
 98  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
 99  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01293,456,066
 100  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

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).


Displaying 1 to 100 (from 132) records   Pages: 1 2 of 2  


   

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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