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 4,480) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 45  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*07:02-C*07:02  Ireland Northern 17.00001,000
 2  B*07:02-C*07:02  USA Caucasian pop 2 11.1000265
 3  B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 10.9000250
 4  B*07:02-C*07:02  USA African American 6.9000252
 5  B*07:02-C*07:02  USA North American Native 6.7000187
 6  A*03:01-B*07:02-C*07:02  Ireland Northern 6.60001,000
 7  B*07:02-C*07:02  Japan Central 6.5000371
 8  A*03:01-B*07:02-C*07:02  Ireland South 6.3000250
 9  A*03-B*07-C*07  USA San Francisco Caucasian 6.3000220
 10  A*02-B*07-C*07  Italy East Sicily 6.000050
 11  A*03:01-B*07:02-C*07:02  USA San Francisco Caucasian 6.0000220
 12  B*07:02-C*07:02  USA Hispanic 6.0000234
 13  A*03:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 5.8432519
 14  B*07-C*07  Venezuela Colonia Tovar 5.800086
 15  B*07:02-C*07:02  Uganda Kampala 5.6000161
 16  B*07:02-C*07:02  USA African American pop 4 5.52602,411
 17  A*02:01-B*07:02-C*07:02  Ireland Northern 5.10001,000
 18  B*07-C*07:02  Pakistan Burusho 5.100092
 19  A*02:01-B*07:02-C*07:02  Ireland South 5.0000250
 20  B*07:02-C*07:02  USA Hispanic pop 2 4.91601,999
 21  B*07-C*07  Mexico Tapachula, Chiapas Mestizo Population 4.861172
 22  A*03-B*07-C*07:02-DRB1*15-DQB1*06  Russia North Ossetian 4.3300127
 23  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 4.3000250
 24  B*07:02-C*07:02  Mali Bandiagara 4.3000138
 25  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 4.2000298
 26  A*03:01-B*07:02-C*07:02  USA Caucasian pop 2 4.1000265
 27  B*07-C*07  Macedonia 4.0210286
 28  A*03-B*07-C*07-DRB1*15  Austria Cord Bloods 4.02001,368
 29  A*02-B*07-C*07  France Corsica Island 4.0000100
 30  A*03:01:01-B*07:02:01-C*07:02:01  South African Mixed ancestry 4.000050
 31  A*03-B*07-C*07  Spain Gipuzkoa Basque 4.0000100
 32  A*24:02-B*07:02-C*07:02  Japan pop 5 4.0000117
 33  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 34  B*07:02-C*07:02  Mexico Mexico City Mestizo population 3.8462143
 35  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany pop 6 3.84348,862
 36  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 3.8000298
 37  A*24:02-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 3.722018,604
 38  A*02:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 3.6391519
 39  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 3.6000250
 40  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 3.54001,374
 41  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 3.52501,075
 42  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 3.522324,582
 43  B*07:02-C*07:02  Zambia Lusaka 3.500044
 44  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 3.43301,043
 45  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 3.31101,406
 46  A*02:01-B*07:02-C*07:02  USA Caucasian pop 2 3.3000265
 47  A*24-B*07-C*07  Brazil Parana Japanese 3.2900192
 48  A*02:01-B*07:02-C*07:02  USA North American Native 3.2000187
 49  B*07:02-C*07:02  Mexico Mexico City Mestizo pop 2 3.2000234
 50  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 51  A*02-B*07-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 3.17004,510
 52  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
 53  A*02:01-B*07:02-C*07:02  USA San Francisco Caucasian 3.1000220
 54  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 3.1000250
 55  B*07:02-C*07:02-DRB1*01:01  South Korea pop 3 3.1000485
 56  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 3.08001,698
 57  A*02-B*07-C*07  Venezuela Caracas Mestizo 3.000050
 58  A*24:02-B*07:02-C*07:02  South Korea pop 3 3.0000485
 59  B*07-C*07  Venezuela Caracas Mestizo 3.000050
 60  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
 61  A*02-B*07-C*07  USA San Francisco Caucasian 2.9000220
 62  A*03-B*07-C*07  Spain Catalonia Girona 2.900088
 63  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 2.9000485
 64  B*07:02-C*07:02  Uganda Kampala pop 2 2.9000175
 65  A*02:01-B*07:02-C*07:02-DRB1*15:01  Russia Bering Island Aleuts 2.8846104
 66  B*07-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 2.777872
 67  A*02:01-B*07:02-C*07:02-DRB1*15:01  USA Italy Ancestry 2.7680273
 68  B*07:02-C*07:02  USA Asian pop 2 2.64401,772
 69  A*03:01-B*07:02-C*07:02  Italy pop 5 2.6100975
 70  A*03-B*07-C*07-DRB1*15/16-DQB1*06  Spain Ibiza 2.600088
 71  A*03:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 2.592620,653
 72  A*03-B*07-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 2.59004,510
 73  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
 74  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
 75  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 2.53101,374
 76  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
 77  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
 78  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 2.4000250
 79  A*23:01-B*07:02-C*07:02  Mali Bandiagara 2.4000138
 80  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 2.39001,107
 81  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
 82  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 2.3780120
 83  B*07:02-C*07:02  Italy pop 5 2.3600975
 84  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 2.35501,043
 85  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
 86  A*03:01-B*07:02-C*07:02-DRB1*15:01  USA Italy Ancestry 2.3300273
 87  A*01-B*07-C*07  Venezuela Colonia Tovar 2.300086
 88  A*68:02-B*07:02-C*07:02  Zambia Lusaka 2.300044
 89  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 2.3000250
 90  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 2.257877,584
 91  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01  South Africa Caucasians 2.2200102
 92  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:01  South Africa Caucasians 2.2200102
 93  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Portugal minority 2.20101,176
 94  A*02-B*07-C*07  Spain Majorca and Minorca 2.200090
 95  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
 96  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany pop 6 2.18128,862
 97  B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 2.0979143
 98  A*02:01-B*07:02-C*07:02-DRB1*15:01  Brazil Vale do Ribeira Quilombos 2.0833144
 99  A*24-B*07-C*07-DRB1*15  Myanmar Rakhine 2.083048
 100  A*01:01:01-B*07:02:01-C*07:02:01  South African Indian population 2.000050

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 4,480) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 45  


   

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