Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 84 (from 84) records   Pages: 1 of 1  

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-DQB1*06:02-DPB1*04:01  Ireland South 3.6000250
 4  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 3.52501,075
 5  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
 6  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
 7  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
 8  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
 9  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
 10  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
 11  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
 12  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Poland 2.0000200
 13  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 1.81281,376
 14  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 1.40204,335
 15  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
 16  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
 17  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 1.27801,999
 18  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 1.22821,463
 19  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
 20  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
 21  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 1.1700975
 22  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
 23  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
 24  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 1.05701,159
 25  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
 26  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
 27  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
 28  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.91502,411
 29  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.874014,339
 30  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
 31  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
 32  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.6993143
 33  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
 34  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.6667150
 35  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
 36  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
 37  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
 38  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.57904,856
 39  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
 40  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
 41  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.43261,075
 42  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
 43  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
 44  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.353828,557
 45  A*03:01:01-B*07:370-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 46  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
 47  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
 48  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
 49  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
 50  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
 51  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
 52  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
 53  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.137750,614
 54  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.128324,582
 55  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
 56  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.106899,672
 57  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.080511,446
 58  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.078277,584
 59  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
 60  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
 61  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.06434,204
 62  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 63  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05535,829
 64  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05032,492
 65  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04935,849
 66  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.048343,540
 67  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.04543,456,066
 68  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03601,510
 69  A*03:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03531,510
 70  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.03393,456,066
 71  A*03:01:01-B*07:04-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.030423,595
 72  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 73  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*13:01  Germany DKMS - German donors 0.02403,456,066
 74  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*11:01  Germany DKMS - German donors 0.02233,456,066
 75  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.02013,456,066
 76  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01853,456,066
 77  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*09:01  Germany DKMS - German donors 0.01813,456,066
 78  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*14:01  Germany DKMS - German donors 0.01623,456,066
 79  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*23:01  Germany DKMS - German donors 0.01593,456,066
 80  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*16:01  Germany DKMS - German donors 0.01413,456,066
 81  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01283,456,066
 82  A*03:01:01-B*07:14-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004023,595
 83  A*03:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 84  A*03:01:03-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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional