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 201 to 300 (from 1,132) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01  Germany DKMS - Italy minority 0.25901,159
 202  A*30:01-B*42:01-C*17:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.25002,411
 203  A*03:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Romania minority 0.24301,234
 204  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - United Kingdom minority 0.24001,043
 205  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463
 206  A*23:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.23502,411
 207  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.23061,075
 208  A*30:02:01-B*41:02:01-C*17:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 209  A*32:01:01-B*42:02-C*17:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 210  A*33:03-B*42:02-C*17:01-DRB1*12:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 211  A*30:01-B*42:01-C*17:01-DRB1*11:02-DQB1*03:01  USA NMDP Black South or Central American 0.22794,889
 212  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.22581,075
 213  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP Hispanic South or Central American 0.2244146,714
 214  A*02:01-B*42:01-C*17:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 215  A*02:06-B*41:02-C*17:01-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 216  A*30:01-B*39:05-C*17:01-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*17:01  Nicaragua Managua 0.2165339
 217  A*33:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 218  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 219  B*41:01-C*17:01  Mexico Mexico City Mestizo pop 2 0.2100234
 220  A*30:01-B*42:01-C*17:01-DRB1*08:04-DQB1*03:01  USA NMDP Black South or Central American 0.20494,889
 221  A*30:01:01-B*42:01-C*17:01:01-DRB1*03:02-DQB1*04:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.203528,927
 222  B*42:02-C*17:01  USA Hispanic pop 2 0.20101,999
 223  A*02:01-C*17:01  Italy pop 5 0.2000975
 224  A*03:02-B*41:02:01-C*17:01-DRB1*11:04:01-DQB1*03:01  England North West 0.2000298
 225  A*02:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 226  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.194914,339
 227  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 228  A*01:02-B*42:01:01-C*17:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 229  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 230  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 231  A*24:02:01-B*55:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 232  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 233  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 234  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 235  A*03:01-B*35:01-C*17:01-DRB1*10:01-DQB1*03:03-DPB1*01:01  Panama 0.1900462
 236  A*23:01-B*07:02-C*17:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 237  A*23:01-B*42:01-C*17:01-DRB1*01:02-DQB1*05:01-DPB1*18:01  Panama 0.1900462
 238  A*29:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Panama 0.1900462
 239  A*30:01-B*42:01-C*17:01-DRB1*04:07-DQB1*02:01-DPB1*14:01  Panama 0.1900462
 240  A*30:01-B*42:02-C*17:01-DRB1*04:03-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 241  A*30:01-B*45:01-C*17:01-DRB1*15:03-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 242  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 243  A*33:01-B*42:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*01:01  Panama 0.1900462
 244  A*74:01-B*15:16-C*17:01-DRB1*10:01-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 245  A*74:01-B*42:01-C*17:01-DRB1*03:02-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 246  A*02:02-B*41:01-C*17:01  Italy pop 5 0.1800975
 247  A*32:01-B*41:01-C*17:01  Italy pop 5 0.1800975
 248  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17844,204
 249  A*30:01-B*42:01-C*17:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.17644,889
 250  A*02:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.17602,411
 251  A*23:01-B*42:01-C*17:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.17402,411
 252  A*30:01-B*42:02-C*17:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.17402,411
 253  A*24:02-B*41:01-C*17:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 254  A*30:01-B*42:02-C*17:01-DRB1*08:04-DQB1*03:01  USA NMDP Black South or Central American 0.16524,889
 255  A*24:02-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Romania minority 0.16201,234
 256  A*01:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*107:01  Tanzania Maasai 0.1597336
 257  A*01:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:85-DPB1*15:01  Tanzania Maasai 0.1597336
 258  A*02:01-B*15:03-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 259  A*02:01-B*39:24-C*17:01-DRB1*07:01-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 260  A*02:02-B*07:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 261  A*02:02-B*42:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 262  A*23:01-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Tanzania Maasai 0.1597336
 263  A*29:02-B*15:17-C*17:01-DRB1*10:01-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 264  A*29:02-B*18:01-C*17:01-DRB1*04:10-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 265  A*29:02-B*81:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*04:02  Tanzania Maasai 0.1597336
 266  A*30:01-B*42:01-C*17:01-DRB1*11:01-DQB1*06:02-DPB1*133:01  Tanzania Maasai 0.1597336
 267  A*30:01-B*49:01-C*17:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 268  A*31:06-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 269  A*33:03-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 270  A*36:01-B*41:01-C*17:01-DRB1*11:01-DQB1*06:02-DPB1*18:01  Tanzania Maasai 0.1597336
 271  A*68:02-B*07:02-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.1597336
 272  A*74:01-B*13:02-C*17:01-DRB1*01:02-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 273  A*33:03-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.15814,889
 274  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.15404,856
 275  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Austria minority 0.14601,698
 276  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Netherlands minority 0.14601,374
 277  A*66:01-B*41:02-C*17:01-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 278  A*03:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.14504,889
 279  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.14404,856
 280  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP American Indian South or Central America 0.14255,926
 281  B*41:01-C*17:01  USA Asian pop 2 0.14201,772
 282  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP Mexican or Chicano 0.1408261,235
 283  A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 284  A*01:01-B*41:01-C*17:01-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 285  A*02:01:01-B*41:02:01-C*17:01:01-DRB1*13:03:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 286  A*02:01-B*18:01-C*17:01-DRB1*14:01-DQB1*05:03  Italy pop 5 0.1400975
 287  A*02:02-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 288  A*02:05-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 289  A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 290  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 291  A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 292  A*30:04-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 293  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 294  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 295  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 296  A*30:01-B*42:01-C*17:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13602,411
 297  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Spain minority 0.13601,107
 298  A*68:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13502,411
 299  A*30:01-B*42:01-C*17:01-DRB1*04:05-DQB1*03:02  USA African American pop 4 0.13102,411
 300  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13104,856

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 201 to 300 (from 1,132) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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