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 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*01:03  Nicaragua Mestizo (G) 0.3226155
 202  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.005223,595
 203  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002923,595
 204  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 205  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06141,510
 206  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.037023,595
 207  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 208  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*05:03:01  Poland BMR 0.002123,595
 209  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.006823,595
 210  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*06:04:01  Poland BMR 0.002123,595
 211  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:43-DQB1*03:01:01  Poland BMR 0.002123,595
 212  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 213  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*13:15-DQB1*03:01:01  Poland BMR 0.002623,595
 214  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*13:15-DQB1*03:02:01  Poland BMR 0.001723,595
 215  A*26:01:01-B*18:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 216  A*26:01:01-B*18:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 217  A*26:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09681,510
 218  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 219  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002323,595
 220  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 221  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005423,595
 222  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 223  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002923,595
 224  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 225  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004623,595
 226  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001923,595
 227  A*26:01:01-B*18:03-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000876223,595
 228  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 229  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 230  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002923,595
 231  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002423,595
 232  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 233  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012123,595
 234  A*26:01:01-B*27:02:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 235  A*26:01:01-B*27:04:01-C*12:02:02-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 236  A*26:01:01-B*27:04:01-C*12:02:02-DRB1*14:54:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 237  A*26:01:01-B*27:05:02-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.1868519
 238  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.010223,595
 239  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 240  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.014723,595
 241  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.007423,595
 242  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 243  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 244  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 245  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.115223,595
 246  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 247  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 248  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 249  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 250  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007223,595
 251  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*04:04:01-DQB1*04:02:01  Poland BMR 0.002123,595
 252  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.005723,595
 253  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.004123,595
 254  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008823,595
 255  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004723,595
 256  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*13:03:01-DQB1*03:03:02  Poland BMR 0.002123,595
 257  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*13:15-DQB1*05:03:01  Poland BMR 0.002123,595
 258  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 259  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 260  A*26:01:01-B*27:05:02-C*01:22-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 261  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.003423,595
 262  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.000520023,595
 263  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002723,595
 264  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 265  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.042823,595
 266  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.002123,595
 267  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002223,595
 268  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.011423,595
 269  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:05-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 270  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.004223,595
 271  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.001523,595
 272  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.002123,595
 273  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*09:01:02-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 274  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.003423,595
 275  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005023,595
 276  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004723,595
 277  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*11:113-DQB1*03:01:01  Poland BMR 0.002123,595
 278  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003923,595
 279  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004723,595
 280  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 281  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.006523,595
 282  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004823,595
 283  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 284  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004623,595
 285  A*26:01:01-B*27:05:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 286  A*26:01:01-B*27:05:02-C*03:04:01-DRB1*01:03-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 287  A*26:01:01-B*27:05:02-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 288  A*26:01:01-B*27:05:02-C*05:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 289  A*26:01:01-B*27:05:02-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002023,595
 290  A*26:01:01-B*27:05:03-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001823,595
 291  A*26:01:01-B*27:05:23-C*01:02:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 292  A*26:01:01-B*27:06:01-C*03:04:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 293  A*26:01:01-B*27:07:01-C*07:06  South African Indian population 1.000050
 294  A*26:01:01-B*27:12-C*02:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 295  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 296  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.26491,510
 297  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 1.0417192
 298  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 299  A*26:01:01-B*27:14-C*01:02:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 300  A*26:01:01-B*27:85-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  


   

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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