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 3,776) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02-B*51-C*14-DRB1*16  Macedonia MBMDR - Albanian 0.3906128
 202  A*03-B*51-C*14-DRB1*13  Macedonia MBMDR - Albanian 0.3906128
 203  A*11-B*35-C*14-DRB1*04  Macedonia MBMDR - Albanian 0.3906128
 204  A*23-B*51-C*14-DRB1*08  Macedonia MBMDR - Albanian 0.3906128
 205  A*24-B*51-C*14-DRB1*16  Macedonia MBMDR - Albanian 0.3906128
 206  A*02-B*51-C*14:02-DRB1*04-DQB1*03  Russia North Ossetian 0.3900127
 207  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.39003,078
 208  A*24-B*51-C*14:02-DRB1*14-DQB1*05  Russia North Ossetian 0.3900127
 209  A*31-B*13-C*14:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 210  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.39003,078
 211  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 212  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 213  A*24:02-B*40:06-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 214  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.36003,078
 215  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 216  A*33:03:01-B*15:16:01-C*14:02:01-DRB1*03:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 217  A*24:02-B*51:01-C*14:02  Italy pop 5 0.3500975
 218  A*01-B*51-C*14  Macedonia 0.3497286
 219  A*01-B*51-C*14-DRB1*11  Macedonia 0.3497286
 220  A*01-C*14  Macedonia 0.3497286
 221  A*02:01-B*51:01-C*14:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 222  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 223  A*03-B*51-C*14  Macedonia 0.3497286
 224  A*03-C*14  Macedonia 0.3497286
 225  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 226  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 227  A*29:02-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 228  A*31-B*51-C*14  Macedonia 0.3497286
 229  A*31-C*14  Macedonia 0.3497286
 230  A*33:03-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 231  B*51:01-C*14:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 232  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 233  B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 234  B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 235  B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 236  B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 237  A*34:02-B*51:01-C*14:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 238  A*02:01-B*51:01-C*14:02-DRB1*11:01  Germany DKMS - Greece minority 0.34701,894
 239  A*02-B*51-C*14-DRB1*15-DQB1*02  Albania pop 2 0.3400432
 240  A*03-B*35-C*14-DRB1*11-DQB1*03  Albania pop 2 0.3400432
 241  A*11-B*51-C*14-DRB1*07-DQB1*06  Albania pop 2 0.3400432
 242  A*24-B*51-C*14-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 243  A*24-B*51-C*14-DRB1*10-DQB1*05  Albania pop 2 0.3400432
 244  A*24-B*51-C*14-DRB1*11-DQB1*03  Albania pop 2 0.3400432
 245  A*25-B*55-C*14-DRB1*14-DQB1*05  Albania pop 2 0.3400432
 246  A*68-B*47-C*14-DRB1*01-DQB1*05  Albania pop 2 0.3400432
 247  A*01-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 248  A*02-B*51-C*14:02-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 249  A*02-B*51-C*14:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 250  A*24-B*51-C*14:02-DRB1*04:10-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 251  A*24-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 252  A*31-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 253  A*33-B*44-C*14:03-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 254  A*02:01-B*51:01-C*14:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Puyanawa 0.3333150
 255  A*02:01:01-B*40:01:02-C*14:02:01-DRB1*08:01:01-DQA1*05:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 256  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 257  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:05:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 258  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 259  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Greece minority 0.32501,894
 260  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:03  Nicaragua Mestizo (G) 0.3226155
 261  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 262  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01  Nicaragua Mestizo (G) 0.3226155
 263  A*30:01:01-B*44:03:01-C*14:03-DRB1*03:01  Nicaragua Mestizo (G) 0.3226155
 264  A*03:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.3195336
 265  A*02-B*51-C*14-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.31941,743
 266  A*02:01-B*51:01-C*14:02-DRB1*04:07  Germany DKMS - Greece minority 0.31701,894
 267  A*02:01-B*51:02-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.3155951
 268  A*02:01:01-B*15:03:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 269  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 270  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 271  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*10:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 272  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*12:01:01-DQB1*05:01:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 273  A*30:02:01-B*18:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 274  A*31:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.312511,446
 275  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.31101,772
 276  A*11:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.30377,595
 277  A*02:01-B*51:01-C*14:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*03:01  South Africa Worcester 0.3000159
 278  A*23:01-B*15:03-C*14:02-DRB1*11:01-DQA1*05:11-DQB1*02:02-DPB1*105:01  South Africa Worcester 0.3000159
 279  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 280  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.29003,078
 281  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 282  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.2900975
 283  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 284  A*02:01:01-B*51:06:01-C*14:02:01-DRB1*14:54:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 285  A*02:11:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 286  A*03:01:01-B*07:05:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 287  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 288  A*11:01:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 289  A*24:02:01-B*40:06:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 290  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 291  A*26:01:01-B*35:03:01-C*14:02:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 292  A*29:01:01-B*51:06:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 293  A*31:01:02-B*44:02:01-C*14:02:01-DRB1*01:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 294  A*68:01:02-B*52:01:01-C*14:02:01-DRB1*10:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 295  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 296  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 297  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 298  A*24:02-B*51:01-C*14:02-DRB1*14:03  Japan pop 16 0.276018,604
 299  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 300  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Croatia minority 0.27302,057

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 3,776) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  


   

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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