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 100 (from 135) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 4.3000250
 2  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 4.2000298
 3  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany pop 6 3.84348,862
 4  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 3.6000250
 5  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 3.54001,374
 6  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 3.52501,075
 7  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 3.43301,043
 8  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 3.31101,406
 9  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP European Caucasian 3.11371,242,890
 10  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 3.08001,698
 11  A*03:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 2.592620,653
 12  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 2.57051,510
 13  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 2.563223,595
 14  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 2.47475,926
 15  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP North American Amerindian 2.452735,791
 16  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 2.39001,107
 17  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 18  A*03:01-B*07:02-C*07:02-DRB1*15:01  USA Italy Ancestry 2.3300273
 19  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Portugal minority 2.20101,176
 20  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 2.19883,456,066
 21  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Poland 2.0000200
 22  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 1.92501,234
 23  A*03:01-B*07:02-C*07:02-DRB1*15:01  Russia Bering Island Aleuts 1.9231104
 24  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 1.81281,376
 25  A*03:01-B*07:02-C*07:02-DRB1*15:01  Italy pop 5 1.6300975
 26  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 1.51902,057
 27  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 1.40801,028
 28  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 1.40204,335
 29  A*03:01-B*07:02-C*07:02-E*01:03:02-F*01:03:01-G*01:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Portugal Azores Terceira Island 1.3158130
 30  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 1.3020496
 31  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 1.27801,999
 32  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 1.22821,463
 33  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 1.2270261,235
 34  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 1.1835115,374
 35  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1765170
 36  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 1.1700975
 37  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 1.1501192
 38  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 39  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 1.05701,159
 40  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 1.0472146,714
 41  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 1.036570,890
 42  A*03:01-B*07:02-C*07:02-DRB1*15:01  USA Mexican American Mestizo 1.0000553
 43  A*03:01:01-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 Barra Mansa Rio State Caucasian 0.9375405
 44  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.91502,411
 45  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.874014,339
 46  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.8620174
 47  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.8333120
 48  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.79974,889
 49  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Italy pop 5 0.7400975
 50  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.6993143
 51  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Greece minority 0.69601,894
 52  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.684011,499
 53  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.6667150
 54  A*03:01:01-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  Russia Belgorod region 0.6536153
 55  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01  Nicaragua Mestizo (G) 0.6452155
 56  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.6359416,581
 57  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 58  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.57904,856
 59  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.5387120
 60  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.46201,282
 61  A*03:01-B*07:02-C*07:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*15:01-DQA1*01:01-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 62  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.43261,075
 63  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 64  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*04:01:01-DQB1*06:03-DPA1*02:01:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 65  A*03:01:01-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 0.3891521
 66  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.382833,328
 67  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.353828,557
 68  A*03:01-B*07:02-C*07:02-DRB1*15:01  Brazil Vale do Ribeira Quilombos 0.3472144
 69  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 70  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 71  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2520356
 72  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.24663,456,066
 73  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 74  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:01-DQB1*06:03-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 75  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.22593,456,066
 76  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 77  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 78  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.17053,456,066
 79  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 80  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:01  Italy pop 5 0.1400975
 81  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.137750,614
 82  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 83  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.128324,582
 84  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.124623,595
 85  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.114227,978
 86  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.10725,829
 87  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.106899,672
 88  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.080511,446
 89  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.078277,584
 90  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0698185,391
 91  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 92  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 93  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.065811,446
 94  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.06434,204
 95  A*03:01-B*07:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.06377,595
 96  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 97  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05631,075
 98  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05535,829
 99  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05032,492
 100  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04935,849

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 135) 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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