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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 593) 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*24-B*08-DRB1*03:01-DQB1*02:01  Tunisia Ghannouch 4.300082
 12  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
 13  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 14  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Poland 4.0000200
 15  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
 16  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 3.8462143
 17  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
 18  A*29:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 3.080066
 19  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Tunisia 3.0000100
 20  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 2.96901,159
 21  A*01-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 2.8848641
 22  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
 23  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
 24  A*01-B*08-DRB1*03:01-DQB1*02:01  Madeira pop 2 2.6000173
 25  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 2.46765,849
 26  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 2.4190124
 27  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
 28  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
 29  A*02:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 2.310066
 30  A*01-B*08-DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01  Spain Murcia 2.3000173
 31  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 2.272788
 32  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
 33  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 2.15504,335
 34  A*24:02-B*08:50-C*07:01-DRB1*03:01-DQB1*02:01  Colombia North Chimila Amerindians 2.127747
 35  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 36  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 37  A*01:02-B*08:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 2.061997
 38  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
 39  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
 40  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
 41  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 42  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 43  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
 44  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 45  A*02:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 1.7000298
 46  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 47  A*68-B*08-DRB1*03:01-DQB1*02:01  Madeira pop 2 1.7000173
 48  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 49  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 50  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
 51  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 1.60795,829
 52  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
 53  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.57674,204
 54  A*24:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 55  A*34:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 56  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
 57  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
 58  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 59  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 1.39102,411
 60  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
 61  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 1.266914,339
 62  A*24-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.2000104
 63  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
 64  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
 65  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
 66  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 1.0606330
 67  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
 68  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
 69  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
 70  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
 71  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
 72  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.99581,463
 73  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
 74  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.94604,856
 75  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
 76  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
 77  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
 78  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
 79  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.82881,376
 80  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
 81  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.8060124
 82  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
 83  A*26:01-B*08:01-C*07:03-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 84  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 85  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
 86  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.74612,403
 87  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.72445,849
 88  A*03-B*08-DRB1*03:01-DQB1*02:01  Bolivia Quechua 0.720069
 89  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.71002,492
 90  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.702411,446
 91  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
 92  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
 93  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 94  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 95  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
 96  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
 97  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
 98  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
 99  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
 100  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557

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 593) 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.

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