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 84 (from 84) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 3.8000298
 2  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 3.1000250
 3  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 2.98381,510
 4  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 2.4000250
 5  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 2.3780120
 6  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 2.3438192
 7  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP European Caucasian 1.97391,242,890
 8  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.8100221
 9  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 1.6807119
 10  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 1.64885,926
 11  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP North American Amerindian 1.498735,791
 12  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 1.33151,376
 13  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 1.303223,595
 14  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Poland 1.3000200
 15  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 1.2605119
 16  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 1.12793,456,066
 17  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 1.06561,075
 18  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 1.0490143
 19  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 20  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.935228,927
 21  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.9300215
 22  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo pop 2 0.8600234
 23  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 24  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.7810496
 25  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 26  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.74301,159
 27  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.70501,999
 28  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 29  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 0.623470,890
 30  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 31  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 0.5844261,235
 32  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.5800146,714
 33  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.54704,335
 34  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.52031,463
 35  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.49201,075
 36  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 0.4737115,374
 37  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Nicaragua Managua 0.4329339
 38  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 39  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.38154,889
 40  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.369114,339
 41  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.3540416,581
 42  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.343111,499
 43  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Northeast UCBB 0.3378296
 44  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.32104,856
 45  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.30502,411
 46  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.3000975
 47  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.241733,328
 48  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 49  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.2165339
 50  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.212628,557
 51  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Russia Karelia 0.20321,075
 52  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.18893,456,066
 53  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.15631,075
 54  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.14233,456,066
 55  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.131028,927
 56  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Russia Karelia 0.12451,075
 57  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.109328,927
 58  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.10263,456,066
 59  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.09793,456,066
 60  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.09412,492
 61  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.08401,075
 62  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.079350,614
 63  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.071027,978
 64  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*06:01  Sri Lanka Colombo 0.0700714
 65  A*02:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 66  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.065224,582
 67  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 68  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05625,849
 69  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.049411,446
 70  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04801,772
 71  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.032977,584
 72  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.030799,672
 73  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03065,829
 74  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0301185,391
 75  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 76  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02574,204
 77  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.01853,456,066
 78  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01763,456,066
 79  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*13:01  Germany DKMS - German donors 0.01203,456,066
 80  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.01193,456,066
 81  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01033,456,066
 82  A*02:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010123,595
 83  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.003143,540
 84  A*02:01:52-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595

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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