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 100 (from 573) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Ireland South 13.7000250
 2  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Ireland South 11.5000250
 3  A*01:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 9.5000298
 4  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 8.3000250
 5  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 6.52581,242,890
 6  B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 5.9441143
 7  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 5.872923,595
 8  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 4.6500975
 9  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 10  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 4.34585,926
 11  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 12  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 13  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Poland 4.0000200
 14  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 3.850052
 15  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 3.8462143
 16  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 3.3854192
 17  A*29:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 3.080066
 18  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Tunisia 3.0000100
 19  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 2.96901,159
 20  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 2.880052
 21  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.7900215
 22  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 2.46765,849
 23  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 2.4190124
 24  A*03:01:01-B*08:01:01-C*07:06:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 25  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 2.3440496
 26  A*02:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 2.310066
 27  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 2.272788
 28  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 2.194370,890
 29  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 2.15504,335
 30  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 31  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 32  A*01:02-B*08:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 2.061997
 33  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 1.99493,456,066
 34  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 1.96533,456,066
 35  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.8200261,235
 36  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 37  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 38  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 1.7610142
 39  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 40  A*02:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 1.7000298
 41  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 42  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 43  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 44  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 1.6528115,374
 45  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 1.60795,829
 46  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.5860146,714
 47  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.57674,204
 48  A*24:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 49  A*34:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 50  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 51  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.4203185,391
 52  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 53  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 1.39102,411
 54  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 55  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 1.266914,339
 56  A*24-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.2000104
 57  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 1.178027,978
 58  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 59  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 1.1238416,581
 60  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 1.0606330
 61  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 1.05454,889
 62  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 1.0420496
 63  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 1.004611,499
 64  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.0000159
 65  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 66  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.99581,463
 67  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 68  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.94604,856
 69  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 70  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 71  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 0.86401,242,890
 72  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 73  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.82881,376
 74  A*33:03:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 75  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.8060124
 76  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  USA San Diego 0.7810496
 77  A*26:01-B*08:01-C*07:03-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 78  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 79  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.748133,328
 80  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.74612,403
 81  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.72445,849
 82  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.71002,492
 83  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.702411,446
 84  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.7020356
 85  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 86  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 87  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 88  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 89  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 90  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.667228,927
 91  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 92  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 93  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 94  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.63765,926
 95  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 96  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.614928,927
 97  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.59482,492
 98  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.593328,927
 99  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.5900975
 100  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170

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 573) records   Pages: 1 2 3 4 5 6 of 6  


   

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