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 270) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*57:03-C*18:01  Zambia Lusaka 5.800044
 2  A*30:02-B*57:03-C*18:01  Zambia Lusaka 4.700044
 3  B*81:01-C*18:01  Kenya Luo 3.2000265
 4  A*80:01-B*57:02-C*18:01  Zambia Lusaka 2.300044
 5  B*18:01-C*18:01  Zambia Lusaka 2.300044
 6  B*57:02-C*18:01  Zambia Lusaka 2.300044
 7  A*34:02:01-B*58:02-C*18:02  South African Mixed ancestry 2.000050
 8  A*43:01-B*15:03:01-C*18:02  South African Mixed ancestry 2.000050
 9  A*01:01-B*81:01-C*18:01  Kenya Luo 1.7000265
 10  A*01:01-B*37:01-C*18:01  India Mumbai Maratha 1.600091
 11  B*81:01-C*18:01  USA African American 1.6000252
 12  B*81:01-C*18:01  Kenya Nandi 1.5000240
 13  A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 14  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 15  A*01:01-B*81:01-C*18:01  Kenya Nandi 1.3000240
 16  B*08:04-C*18:01  India Mumbai Maratha 1.300091
 17  B*57:02-C*18:01  Mali Bandiagara 1.2000138
 18  B*57:03-C*18:01  USA African American pop 4 1.16802,411
 19  B*81:01-C*18:01  USA African American pop 4 1.10102,411
 20  B*57:03-C*18:01  Mexico Mexico City Mestizo population 1.0490143
 21  A*01:01:01-B*15:02:01-C*18:01  South African Mixed ancestry 1.000050
 22  A*03:01-B*57:03-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.0000150
 23  A*30:02:01-B*57:02:01-C*18:02  South African Mixed ancestry 1.000050
 24  A*01:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 25  A*31:07-B*51:06-C*18:01-DRB1*13:01-DQB1*03:01  Iran Gorgan 0.780064
 26  A*80:01-B*57:02-C*18:02-DRB1*10:01-DQA1*01:04-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 27  A*01:01:01-B*81:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.7040142
 28  A*23-B*81-C*18-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 29  B*81-C*18  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 30  B*81-C*18-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 31  A*29:01-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*03:19  Brazil Puyanawa 0.6667150
 32  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 0.6000159
 33  A*01:01-B*08:01-C*18:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 34  A*01:01-B*81:01-C*18:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 35  A*01:01-B*81:01-C*18:01-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 36  A*23:01-B*13:02-C*18:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*94:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 37  A*30:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 38  A*30:02-B*57:02-C*18:01-DRB1*01:01-DQA1*01:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 39  A*30:02-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 40  A*33:01-B*57:02-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*03:01-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 41  A*66:01-B*57:03-C*18:01-DRB1*03:02-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 42  A*66:02-B*58:02-C*18:01-DRB1*13:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 43  A*02:02-B*07:05:01-C*18:01-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.4902102
 44  A*03:01:01-B*57:03:01-C*18:01-DRB1*13:01  Costa Rica African -Caribbean (G) 0.4902102
 45  A*23:01:01-B*57:03:01-C*18:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 46  A*23:01:01-B*81:01-C*18:01-DRB1*11:01:02  Costa Rica African -Caribbean (G) 0.4902102
 47  A*23:01:01-B*81:01-C*18:01-DRB1*12:01  Costa Rica African -Caribbean (G) 0.4902102
 48  A*66:01:01-B*57:04-C*18:01-DRB1*16:02:01  Costa Rica African -Caribbean (G) 0.4902102
 49  A*68:02:01-B*81:01-C*18:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 50  A*80:01:01-B*81:01-C*18:01-DRB1*08:04:01  Costa Rica African -Caribbean (G) 0.4902102
 51  A*23:01-B*81:01-C*18:01-DRB1*11:02-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.4792336
 52  A*24:02:01-B*44:03:01-C*18:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 53  A*33:03:01-B*15:10:01-C*18:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 54  A*34:02:01-B*07:02:01-C*18:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 55  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 56  A*02:05:01-B*39:10:01-C*18:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 57  A*23:01:01-B*53:01:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 58  A*29:02:01-B*57:03:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 59  A*30:02:01-B*57:03:01-C*18:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 60  A*30:02:01-B*57:03:01-C*18:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 61  A*30:04:01-B*57:03:01-C*18:02-DRB1*13:02:01-DQB1*03:02:01-DPB1*18:01  South African Black 0.3520142
 62  A*34:02:01-B*07:02:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 63  A*43:01-B*15:03:01-C*18:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*18:01  South African Black 0.3520142
 64  A*43:01-B*81:01-C*18:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*55:01:01  South African Black 0.3520142
 65  A*03:01-B*57:03-C*18:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 66  A*23:17-B*81:01-C*18:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 67  B*57:03-C*18:01-DRB1*08:04-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 68  B*57:03-C*18:01-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 69  B*57:03-C*18:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 70  B*81:01-C*18:01  Mexico Mexico City Mestizo population 0.3497143
 71  B*81:01-C*18:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 72  A*01:01-B*81:01-C*18:01-DRB1*03:01  Brazil Vale do Ribeira Quilombos 0.3472144
 73  A*68:02-B*81:01-C*18:01-DRB1*11:02  Brazil Vale do Ribeira Quilombos 0.3472144
 74  A*03:01-B*57:03-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 75  A*26:01:01-B*81:01-C*18:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 76  A*03:01:01-B*14:01:01-C*18:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:08-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 77  A*30:02:01-B*57:03:01-C*18:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 78  A*68:02:01-B*81:01:01-C*18:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 79  A*01:01-B*58:02-C*18:01-DRB1*11:01-DQA1*01:02-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 80  A*32:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 81  A*43:01-B*07:02-C*18:01-DRB1*13:02-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 82  A*43:01-B*15:03-C*18:01-DRB1*12:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  South Africa Worcester 0.3000159
 83  A*66:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Africa Worcester 0.3000159
 84  A*66:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 85  A*68:02-B*53:01-C*18:01-DRB1*15:03-DQA1*01:01-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 86  B*57:04-C*18:01  USA African American pop 4 0.29102,411
 87  A*02-B*81-C*18  Brazil Parana Japanese 0.2600192
 88  B*57:02-C*18:01  USA African American pop 4 0.24402,411
 89  A*02:01-B*40:27-C*18:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 90  A*26:01-B*81:01-C*18:01-DRB1*09:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 91  A*29:02-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 92  A*68:01-B*51:01-C*18:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*03:01  Nicaragua Managua 0.2165339
 93  A*30:02:01-B*57:03:01-C*18:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 94  A*68:02:01-B*55:01:01-C*18:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 95  A*68:02:01-B*57:03:01-C*18:02:01-DRB1*08:04:01-DQB1*03:01:04-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 96  A*24:02-B*40:02-C*18:01-DRB1*16:02-DQB1*03:01-DPB1*105:01  Panama 0.1900462
 97  A*66:01-B*51:01-C*18:01-DRB1*12:01-DQB1*03:01-DPB1*105:01  Panama 0.1900462
 98  A*02:01-B*57:03-C*18:01-DRB1*13:01-DQB1*05:01  USA African American pop 4 0.18102,411
 99  B*81:01-C*18:01  USA Hispanic pop 2 0.17601,999
 100  A*01:01-B*81:01-C*18:01-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336

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 270) records   Pages: 1 2 3 of 3  


   

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