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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 325) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 102  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 103  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 104  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 105  A*31:01:02-B*38:03-C*12:03:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 106  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.22561,075
 107  A*02:17-B*38:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Nicaragua Managua 0.2165339
 108  A*26-B*38-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 109  A*02-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.20941,189
 110  A*01-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 111  A*03-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 112  A*24-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 113  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.20004,856
 114  A*11:01-B*38:01:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 115  A*23:01-B*38:01:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 116  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18661,510
 117  A*02-B*38-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.1859266
 118  A*02-B*38-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.1848539
 119  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.18304,856
 120  A*03-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1820824
 121  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.16891,075
 122  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.16841,510
 123  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.15935,849
 124  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.15925,926
 125  A*03-B*38-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 126  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.15201,159
 127  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.147223,595
 128  A*24-B*38-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 129  A*26-B*38-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 130  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.14131,463
 131  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 132  A*03:01:01-B*38:02:01-C*14:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 133  A*03:01:01-B*38:14-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 134  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 135  A*24:03-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 136  A*25:01-B*38:01-C*01:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 137  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 138  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 139  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 140  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 141  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 142  A*03-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.12791,173
 143  A*26-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.12791,173
 144  A*02-B*38-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 145  A*26-B*38-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 146  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.12331,075
 147  A*02-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 148  A*26-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 149  A*11-B*38-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 150  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.11291,075
 151  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.11271,510
 152  A*03-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.11201,743
 153  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.11025,849
 154  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.11014,889
 155  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10341,075
 156  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.103023,595
 157  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 158  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 159  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 160  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 161  A*02-B*38-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.10021,994
 162  A*11-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.09941,743
 163  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 164  A*03-B*38-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.0924539
 165  A*24-B*38-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.0924539
 166  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 167  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.08623,456,066
 168  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 169  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0854221
 170  A*02-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 171  A*24-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 172  A*26-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 173  A*29-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 174  A*68-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 175  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.08101,463
 176  A*29-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0800641
 177  A*32-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 178  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Germany DKMS - German donors 0.07613,456,066
 179  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.07213,456,066
 180  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06854,204
 181  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 182  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 183  A*03-B*38-DRB1*13-DQB1*06  Mexico Mexico City North 0.0664751
 184  A*68-B*38-DRB1*13-DQB1*06  Mexico Mexico City North 0.0664751
 185  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.06543,456,066
 186  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.06431,075
 187  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06401,159
 188  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.06104,856
 189  A*30-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 190  A*02-B*38-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.0602830
 191  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.06003,456,066
 192  A*03:01-B*38:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.05671,075
 193  A*25:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.05651,075
 194  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.05651,075
 195  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Russia Karelia 0.05641,075
 196  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.052823,595
 197  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05193,456,066
 198  A*68-B*38-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 199  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.04871,510
 200  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04764,204

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 325) records   Pages: 1 2 3 4 of 4  


   

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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