Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 301 to 400 (from 7,209) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 73  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  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
 302  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 303  A*30:01:01-B*42:02-C*17:01:01-DRB1*08:04:01  Costa Rica African -Caribbean (G) 0.4902102
 304  A*30:01:01-B*42:02-C*17:01:01-DRB1*13:04  Costa Rica African -Caribbean (G) 0.4902102
 305  A*30:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 306  A*30:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002723,595
 307  A*30:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 308  A*30:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*02:02:01  Poland BMR 0.004223,595
 309  A*30:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002223,595
 310  A*30:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006023,595
 311  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004323,595
 312  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*04:03:01-DQB1*03:05:01  Poland BMR 0.002123,595
 313  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001223,595
 314  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.008523,595
 315  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020523,595
 316  A*30:01:01-B*44:02:01-C*07:68-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 317  A*30:01:01-B*44:03:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 318  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 319  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004123,595
 320  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004823,595
 321  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 322  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.001123,595
 323  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 324  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 325  A*30:01:01-B*44:03:01-C*14:03-DRB1*03:01  Nicaragua Mestizo (G) 0.3226155
 326  A*30:01:01-B*44:03:01-C*16:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 327  A*30:01:01-B*44:03:01-C*17:01:01-DRB1*03:02:01-DQB1*03:01:01-DPB1*02:01:19  South African Black 0.3520142
 328  A*30:01:01-B*44:03:01-C*17:01:01-DRB1*13:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 329  A*30:01:01-B*44:05:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 330  A*30:01:01-B*44:05:01-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 331  A*30:01:01-B*44:05:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 332  A*30:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002723,595
 333  A*30:01:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 334  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 335  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 336  A*30:01:01-B*45:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.4902102
 337  A*30:01:01-B*45:01-C*04:01:01-DRB1*03:02:01  Costa Rica African -Caribbean (G) 0.4902102
 338  A*30:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01135,266
 339  A*30:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01175,266
 340  A*30:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05961,734
 341  A*30:01:01-B*46:01:01-C*01:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 342  A*30:01:01-B*46:01:01-C*01:03-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00775,266
 343  A*30:01:01-B*47:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 344  A*30:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 345  A*30:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 346  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 347  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.004323,595
 348  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 349  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 350  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 351  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*08:04-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089228,927
 352  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 353  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.033323,595
 354  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 355  A*30:01:01-B*49:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 356  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 357  A*30:01:01-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 358  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.006423,595
 359  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 360  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 361  A*30:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000153823,595
 362  A*30:01:01-B*51:01:01-C*01:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 363  A*30:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 364  A*30:01:01-B*51:01:01-C*07:01:01-DRB1*11:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 365  A*30:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 366  A*30:01:01-B*51:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006323,595
 367  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 368  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 369  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002523,595
 370  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 371  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 372  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002623,595
 373  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 374  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 375  A*30:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 376  A*30:01:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007523,595
 377  A*30:01:01-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 378  A*30:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00545,266
 379  A*30:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003323,595
 380  A*30:01:01-B*51:01:01-C*15:04-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 381  A*30:01:01-B*51:01:01-C*16:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 382  A*30:01:01-B*51:01:01-C*16:02:01-DRB1*11:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 383  A*30:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 384  A*30:01:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 385  A*30:01:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 386  A*30:01:01-B*52:01:01-C*12:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 387  A*30:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 388  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 389  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*08:04:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 390  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*14:01:01  South African Black 0.3520142
 391  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:01:01  Poland BMR 0.004223,595
 392  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0218221
 393  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0740221
 394  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0131221
 395  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.1175221
 396  A*30:01:01-B*53:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*13:01:01  South African Black 0.3520142
 397  A*30:01:01-B*53:01:01-C*15:05:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 398  A*30:01:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 399  A*30:01:01-B*55:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 400  A*30:01:01-B*55:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.010023,595

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 301 to 400 (from 7,209) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 73  


   

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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