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 8,119) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 82  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 1.20401,043
 202  A*01:01-B*57:01-C*06:02  Uganda Kampala 1.2000161
 203  A*02:01-B*13:02-C*06:02  Ireland South 1.2000250
 204  A*02:01-B*57:01-C*06:02  Ireland South 1.2000250
 205  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 206  A*30:01-B*13:02-C*06:02  USA San Francisco Caucasian 1.2000220
 207  A*30-B*13-C*06  USA San Francisco Caucasian 1.2000220
 208  B*13:02-C*06:02  USA African American 1.2000252
 209  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 210  A*02-B*50-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 211  A*03-B*13-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 1.1800127
 212  A*03-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 1.1800127
 213  A*30:01-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 1.1800975
 214  A*32-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 215  B*13:02-C*06:02  USA Hispanic pop 2 1.17901,999
 216  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 217  A*01-B*37-C*06-DRB1*16  Macedonia MBMDR - Albanian 1.1719128
 218  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 1.1600215
 219  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 220  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 1.14101,374
 221  A*01-B*37-C*06-DRB1*16-DQB1*05  Albanian Kosovo 1.1400120
 222  A*02:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.1377519
 223  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 224  A*02-B*50-C*06-DRB1*07  Russia Tatars 1.1200355
 225  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 1.1182336
 226  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1181186
 227  A*01:01-B*37:01-C*06:02  South Korea pop 3 1.1000485
 228  A*68:02-B*53:01-C*06:02  Kenya Luo 1.1000265
 229  B*13:02-C*06:02  USA Hispanic 1.1000234
 230  B*13:02-C*06:02  Uganda Kampala pop 2 1.1000175
 231  B*57:01-C*06:02  USA Hispanic 1.1000234
 232  A*30:01-B*13:02-C*06:02-DRB1*07:01  USA Italy Ancestry 1.0990273
 233  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 1.0944186
 234  B*53:01-C*06:02  USA African American pop 4 1.08902,411
 235  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 236  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 1.07301,406
 237  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 1.07102,057
 238  B*13:02-C*06:02  Mexico Mexico City Mestizo pop 2 1.0600234
 239  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.05641,510
 240  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 1.0560142
 241  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 1.05301,176
 242  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 1.04995,849
 243  A*01-B*37-C*06  Macedonia 1.0490286
 244  A*02-B*13-C*06  Macedonia 1.0490286
 245  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 246  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  USA San Diego 1.0420496
 247  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 1.0420496
 248  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 249  A*26:08-B*57:01-C*06:02-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.0417144
 250  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 251  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 252  A*01-B*15-C*06-DRB1*15-DQB1*06  Sudan Khartoum 1.020098
 253  A*01-B*44-C*06-DRB1*11-DQB1*03  Sudan Khartoum 1.020098
 254  A*01-B*51-C*06-DRB1*13-DQB1*03  Sudan Khartoum 1.020098
 255  A*01-B*57-C*06-DRB1*15-DQB1*06  Sudan Khartoum 1.020098
 256  A*02-B*50-C*06-DRB1*07-DQB1*02  Sudan Khartoum 1.020098
 257  A*02-B*51-C*06-DRB1*15-DQB1*06  Sudan Khartoum 1.020098
 258  A*03-B*41-C*06-DRB1*13-DQB1*02  Sudan Khartoum 1.020098
 259  A*23-B*51-C*06-DRB1*08-DQB1*06  Sudan Khartoum 1.020098
 260  A*25-B*38-C*06-DRB1*04-DQB1*02  Sudan Khartoum 1.020098
 261  A*30-B*13-C*06-DRB1*13-DQB1*05  Sudan Khartoum 1.020098
 262  A*30-B*41-C*06-DRB1*13-DQB1*06  Sudan Khartoum 1.020098
 263  A*31-B*41-C*06-DRB1*03-DQB1*02  Sudan Khartoum 1.020098
 264  A*31-B*49-C*06-DRB1*07-DQB1*02  Sudan Khartoum 1.020098
 265  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 266  A*01:01:01-B*50:01:01-C*06:02:01  South African Indian population 1.000050
 267  A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01  England North West 1.0000298
 268  A*01:01-B*37:01-C*06:02  Ireland Northern 1.00001,000
 269  A*01:01-B*37:01-C*06:02  Italy pop 5 1.0000975
 270  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 271  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  Poland 1.0000200
 272  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 273  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 274  A*01-B*13-C*06  Italy East Sicily 1.000050
 275  A*01-B*37-C*06:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 1.0000150
 276  A*01-C*06  Venezuela Caracas Mestizo 1.000050
 277  A*02:01:01-B*15:16:01-C*06:02:01  South African Mixed ancestry 1.000050
 278  A*02:01-B*08:01-C*06:02  Kenya Nandi 1.0000240
 279  A*02:02-B*58:02-C*06:02-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 280  A*02:06:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 281  A*02:11:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 282  A*02-B*13-C*06  Italy East Sicily 1.000050
 283  A*02-B*37-C*06  Italy East Sicily 1.000050
 284  A*02-B*45-C*06  Italy East Sicily 1.000050
 285  A*02-B*57-C*06  Italy East Sicily 1.000050
 286  A*03:01:01-B*44:02:01-C*06:02:01  South African Indian population 1.000050
 287  A*03:01:01-B*49:01:01-C*06:02:01  South African Mixed ancestry 1.000050
 288  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 289  A*03:01-B*58:02-C*06:02  Kenya Nandi 1.0000240
 290  A*23:01:01-B*45:01-C*06:02:01  South African Mixed ancestry 1.000050
 291  A*23:01:01-B*58:02-C*06:02:01  South African Indian population 1.000050
 292  A*23:01-B*53:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 293  A*23:01-B*58:02-C*06:02  Kenya Luo 1.0000265
 294  A*24:02:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 295  A*24:07-B*13:01:01-C*06:02:01  South African Indian population 1.000050
 296  A*26:01:01-B*35:03:01-C*06:02:01  South African Mixed ancestry 1.000050
 297  A*26-B*35-C*06  Italy East Sicily 1.000050
 298  A*29:02:01-B*45:01-C*06:02:01  South African Mixed ancestry 1.000050
 299  A*29:02-B*45:01-C*06:02  Kenya Nandi 1.0000240
 300  A*29-B*50-C*06  Italy East Sicily 1.000050

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 201 to 300 (from 8,119) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 82  


   

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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