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 6,683) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 67  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  B*51:01-C*15:02  USA Asian pop 2 0.88701,772
 202  A*11-B*51-C*15  Macedonia 0.8741286
 203  A*11-C*15  Macedonia 0.8741286
 204  A*31-B*51-C*15  Macedonia 0.8741286
 205  A*31-C*15  Macedonia 0.8741286
 206  B*07-C*15  Macedonia 0.8741286
 207  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.8660185,391
 208  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 209  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 210  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.8560356
 211  A*24:02-B*51:01-C*15:02  Italy pop 5 0.8500975
 212  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.8333120
 213  B*40:02-C*15:02  USA Asian pop 2 0.80701,772
 214  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 215  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 216  A*24-B*51-C*15  Brazil Parana Japanese 0.8000192
 217  A*11-B*18-C*15-DRB1*04  Myanmar Kachin 0.794063
 218  A*26-B*51-C*15-DRB1*15  Myanmar Kachin 0.794063
 219  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.78545,829
 220  A*02-B*51-C*15-DRB1*13  Macedonia MBMDR - Albanian 0.7812128
 221  A*02-B*07-C*15-DRB1*04  Myanmar Mon 0.781064
 222  A*02-B*52-C*15-DRB1*14  Myanmar Mon 0.781064
 223  A*11-B*52-C*15-DRB1*04  Myanmar Mon 0.781064
 224  A*24-B*07-C*15-DRB1*07  Myanmar Mon 0.781064
 225  A*24-B*58-C*15-DRB1*03  Myanmar Mon 0.781064
 226  A*29-B*07-C*15-DRB1*11  Myanmar Mon 0.781064
 227  A*31-B*51-C*15-DRB1*07  Myanmar Mon 0.781064
 228  A*31-B*51-C*15-DRB1*15  Myanmar Mon 0.781064
 229  A*33-B*40-C*15-DRB1*04  Myanmar Mon 0.781064
 230  A*68-B*27-C*15-DRB1*07  Myanmar Mon 0.781064
 231  A*68-B*51-C*15-DRB1*12  Myanmar Mon 0.781064
 232  A*01:02-B*13:01-C*15:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 233  A*02:50-B*07:03-C*15:02-DRB1*04:01-DQB1*06:03  Iran Gorgan 0.780064
 234  A*03:02-B*08:01-C*15:02-DRB1*01:01-DQB1*05:01  Iran Gorgan 0.780064
 235  A*26:01-B*51:01-C*15:02-DRB1*01:01-DQB1*03:01  Iran Gorgan 0.780064
 236  A*29:01-B*15:02-C*15:02-DRB1*15:01-DQB1*05:01  Iran Gorgan 0.780064
 237  A*31:02-B*35:01-C*15:02-DRB1*04:01-DQB1*06:02  Iran Gorgan 0.780064
 238  A*24:02-C*15:02  Italy pop 5 0.7600975
 239  A*02-B*51-C*15  Brazil Parana Japanese 0.7500192
 240  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.70975,829
 241  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.7020356
 242  A*02-B*51-C*15-DRB1*04  Macedonia 0.6993286
 243  A*02-B*51-C*15-DRB1*14  Macedonia 0.6993286
 244  B*51:01-C*15:09  Mexico Mexico City Mestizo population 0.6993143
 245  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 246  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 247  A*02-B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 248  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 249  A*24-B*44-C*15-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 250  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 251  A*68:01-B*44:02-C*15:02-DRB1*11:01  Brazil Vale do Ribeira Quilombos 0.6944144
 252  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 253  B*40-C*15  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 254  B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 255  B*44-C*15  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 256  B*44-C*15-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 257  A*29:01-B*07:05-C*15:05-DRB1*10:01  Hong Kong Chinese BMDR 0.68357,595
 258  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.68095,849
 259  A*02-B*51-C*15-DRB1*07-DQB1*02  Albania pop 2 0.6800432
 260  A*11-B*51-C*15-DRB1*11-DQB1*03  Albania pop 2 0.6800432
 261  A*32-B*51-C*15-DRB1*04-DQB1*03  Albania pop 2 0.6800432
 262  A*26:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02  India Northeast UCBB 0.6757296
 263  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.67411,463
 264  A*02-B*51-C*15:02-DRB1*12:02-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 265  A*24-B*51-C*15:02-DRB1*11:06-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 266  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 267  A*31:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.6667150
 268  A*02-B*35-C*15-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 269  A*03-B*51-C*15-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 270  A*24-B*51-C*15-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 271  A*31-B*51-C*15-DRB1*04  Macedonia MBMDR - Macedonian Muslims 0.657976
 272  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 273  A*02:01:01-B*51:01:01-C*15:09-DRB1*04:03:01  Nicaragua Mestizo (G) 0.6452155
 274  B*51:01-C*15:09-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 275  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 276  A*68:02-B*07:02-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.6390336
 277  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.631827,978
 278  A*03:02-B*51:01-C*15:02  Italy pop 5 0.6300975
 279  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.629428,927
 280  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 281  A*01-B*40-C*15-DRB1*14  Macedonia MBMDR - Macedonian 0.61931,283
 282  B*40:01-C*15:02  USA Asian pop 2 0.60801,772
 283  A*23:01-B*39:10-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*14:01  South Africa Worcester 0.6000159
 284  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.59962,492
 285  A*02:01-B*51:01-C*15:02  Italy pop 5 0.5900975
 286  A*01:01:01-B*44:03:02-C*15:13:01-DRB1*04:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 287  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Parda 0.5882170
 288  A*02:05:01-B*08:01:01-C*15:02:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 289  A*03:01:01-B*39:10:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 290  A*23:01:01-B*18:01:01-C*15:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 291  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 292  A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 293  A*69:01:01-B*44:02:01-C*15:02:01-DRB1*11:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 294  A*02-B*51-C*15-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.57711,743
 295  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 296  A*11:01:01-B*08:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.5750174
 297  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 298  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.56974,204
 299  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.5620356
 300  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.5602714

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 6,683) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 67  


   

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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