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 101 to 200 (from 1,828) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*66:01-B*45:01-C*06:02  Kenya Nandi 1.0000240
 102  A*68:01:01-B*45:01-DRB1*03:01:01  Portugal Center 1.000050
 103  A*68-B*45-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 104  B*45:01-C*06:02  USA African American pop 4 0.98502,411
 105  A*23:01-B*45:01  USA African American pop 4 0.97302,411
 106  A*02:01:01-B*45:01-C*16:01:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.9677155
 107  A*01-B*45-DRB1*10-DQB1*05  Mexico Zacatecas, Fresnillo 0.9524103
 108  A*29-B*45-DRB1*07-DQB1*02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 109  A*02-B*45-DRB1*03:01-DQB1*02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 110  A*30-B*45-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 111  A*29:02-B*45-DRB1*08-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 112  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Veracruz city 0.8721171
 113  A*30-B*45-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.8403119
 114  A*02-B*45-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 115  A*02-B*45-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 0.833360
 116  A*24-B*45-DRB1*04:07-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 117  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Orizaba 0.833360
 118  A*29-B*45-DRB1*08-DQB1*04  Mexico Veracruz, Orizaba 0.833360
 119  A*29-B*45-DRB1*11-DQB1*03:01  Mexico Veracruz, Orizaba 0.833360
 120  A*29-B*45-DRB1*14-DQB1*05  Mexico Veracruz, Orizaba 0.833360
 121  A*02-B*45-DRB1*10-DQB1*05  Mexico Chiapas Rural 0.8264121
 122  A*68-B*45-DRB1*10-DQB1*05  Mexico Chiapas Rural 0.8264121
 123  A*68-B*45-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 124  A*01:01-B*45:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.7987336
 125  A*02-B*45-DRB1*15-DQB1*06  Mexico Tamaulipas Rural 0.7937125
 126  A*02-B*45-DRB1*13-DQB1*03:01  Mexico Nayarit Rural 0.781264
 127  B*45:01-C*06:02  USA Hispanic pop 2 0.77801,999
 128  A*24-B*45-DRB1*10-DQB1*05  Mexico Yucatan Rural 0.7463132
 129  A*68:01-B*45:01-C*06:02-DRB1*04:05-DQA1*03:03-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 130  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.7040142
 131  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.7040142
 132  B*45:01-C*16:01  USA Hispanic pop 2 0.70101,999
 133  A*02-B*45-C*06-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 134  B*45-C*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 135  B*45-C*06-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 136  A*03-B*45-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 0.684972
 137  A*74-B*45-DRB1*15-DQB1*06  Mexico Coahuila, Saltillo 0.684972
 138  A*03-B*45-DRB1*13-DQB1*06  Iraq Arabs 0.6700149
 139  A*74-B*45-C*16:01-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 0.6670150
 140  A*24:02-B*45:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.6667150
 141  A*29-B*45-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 0.666775
 142  A*02-B*45-DRB1*12-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 143  A*29-B*45-DRB1*09-DQB1*02  Mexico Guanajuato, Leon 0.641078
 144  A*68-B*45-DRB1*04-DQB1*06  Mexico Guanajuato, Leon 0.641078
 145  A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.6390336
 146  A*02:01-B*45:01-C*16:01-DRB1*12:01-DQB1*03:01  USA NMDP Caribean Indian 0.624914,339
 147  A*80-B*45-DRB1*09-DQB1*02  Mexico Hidalgo Rural 0.617381
 148  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 149  A*03-B*45-DRB1*07-DQB1*02  Mexico Guanajuato Rural 0.6135162
 150  A*24-B*45-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.6116326
 151  A*02-B*45-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 152  A*29-B*45-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 153  A*30-B*45-DRB1*01-DQB1*05  Mexico Tabasco, Villahermosa 0.609882
 154  A*24-B*45-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 155  A*24-B*45-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 156  A*30-B*45-DRB1*09-DQB1*02  Mexico Jalisco, Zapopan 0.5952168
 157  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 158  A*68:01:01-B*45:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 159  A*03-B*45-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 160  A*29-B*45-DRB1*01-DQB1*05  Mexico San Luis Potosi Rural 0.574787
 161  A*29-B*45-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 162  A*68-B*45-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 163  A*24:02-B*45:01-DRB1*10:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 164  A*29:01-B*45:01-DRB1*09:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 165  A*01:01-B*45:01-DRB1*13:02  Israel Iran Jews 0.55708,153
 166  A*29-B*45-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.5525181
 167  A*03-B*45-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.5464183
 168  A*29-B*45-DRB1*14-DQB1*05  Mexico Veracruz, Xalapa 0.5348187
 169  A*02-B*45-DRB1*11:01  Colombia Barranquilla 0.5300188
 170  A*23-B*45-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 0.515597
 171  A*23-B*45-DRB1*13-DQB1*03:03  Mexico Nayarit, Tepic 0.515597
 172  A*31-B*45-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 0.515597
 173  A*23-B*45-DRB1*11-DQB1*05  Mexico Yucatan, Merida 0.5128192
 174  A*02-B*45-C*06-DRB1*11-DQB1*06  Sudan Khartoum 0.510098
 175  A*24-B*45-C*06-DRB1*04-DQB1*03  Sudan Khartoum 0.510098
 176  A*25-B*45-C*06-DRB1*11-DQB1*06  Sudan Khartoum 0.510098
 177  A*30-B*45-C*06-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 178  A*30-B*45-C*17-DRB1*13-DQB1*03  Sudan Khartoum 0.510098
 179  A*31-B*45-C*06-DRB1*04-DQB1*04  Sudan Khartoum 0.510098
 180  A*31-B*45-C*06-DRB1*13-DQB1*02  Sudan Khartoum 0.510098
 181  A*02-B*45-DRB1*13-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 182  A*29-B*45-DRB1*14-DQB1*05  Mexico Sonora, Hermosillo 0.505199
 183  A*68-B*45-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 0.505199
 184  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:09-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 185  A*02:01-B*45:01-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 186  A*02:01-B*45:01-C*04:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 187  A*23:01-B*45:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 188  A*23:01-B*45:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 189  A*29:02-B*45:01-C*06:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 190  A*29:02-B*45:01-C*08:04-DRB1*12:01-DQA1*01:03-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 191  A*29:02-B*45:01-C*16:46-DRB1*15:03-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 192  A*30:01-B*45:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 193  A*30:02-B*45:01-C*06:11-DRB1*07:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 194  A*30:02-B*45:01-C*16:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 195  A*68:02-B*45:01-C*07:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*129:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 196  A*74:01-B*45:01-C*04:01-DRB1*13:01-DQA1*02:01-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 197  A*01:02-B*45:01-C*16:01:01-DRB1*01:02:01  Costa Rica African -Caribbean (G) 0.4902102
 198  A*03:01:01-B*45:01-C*16:01:01-DRB1*12:01  Costa Rica African -Caribbean (G) 0.4902102
 199  A*24:02:01-B*45:01-C*16:01:01-DRB1*03:02:01  Costa Rica African -Caribbean (G) 0.4902102
 200  A*24:02:01-B*45:01-C*16:01:01-DRB1*14:01  Costa Rica African -Caribbean (G) 0.4902102

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 101 to 200 (from 1,828) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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