Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 301 to 400 (from 940) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*23:01-B*38:01:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 302  A*24:02-B*07:02-C*07:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 303  A*25:01-B*18:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 304  A*29:02:01-B*07:02-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 305  A*32:01-B*27:05-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 306  A*68:01-B*15:18-C*07:04-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 307  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 308  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 309  A*02:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 310  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 311  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 312  A*02:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 313  A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 314  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 315  A*11:01:01-B*44:03:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 316  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 317  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 318  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 319  A*24:02:01-B*15:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 320  A*24:02:01-B*35:08:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 321  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 322  A*31:01:02-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 323  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 324  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 325  A*68:01:01-B*51:75-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 326  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 327  A*74:01:01-B*15:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 328  A*74:03-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 329  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1945521
 330  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.188123,595
 331  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.186923,595
 332  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18661,510
 333  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18541,510
 334  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.16841,510
 335  A*25:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.15421,510
 336  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.15251,510
 337  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.147223,595
 338  A*01:01:01-B*15:07:01-C*07:01:01-DRB1*13:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 339  A*01:01:01-B*52:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 340  A*01:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 341  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 342  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 343  A*03:01:01-B*38:14-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 344  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 345  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 346  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 347  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 348  A*11:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 349  A*11:01:01-B*55:01:01-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 350  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 351  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 352  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 353  A*26:01:01-B*35:03:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 354  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 355  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 356  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 357  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 358  A*31:01:02-B*51:01:05-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 359  A*31:01:02-B*52:01:01-C*03:02:01-DRB1*13:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 360  A*32:01:01-B*13:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 361  A*32:01:01-B*55:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 362  A*33:65-B*07:06:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 363  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 364  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13931,510
 365  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 366  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.125028,927
 367  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.119523,595
 368  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.118428,927
 369  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.11531,734
 370  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.11271,510
 371  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.103023,595
 372  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.102328,927
 373  A*03:01:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 374  A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 375  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 376  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.098123,595
 377  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 378  A*02:01:01-B*51:01:01-C*16:04-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.091928,927
 379  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.083323,595
 380  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.082023,595
 381  A*02:01:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07951,510
 382  A*31:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07901,510
 383  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07811,510
 384  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.076023,595
 385  A*01:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07161,510
 386  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.070223,595
 387  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06741,510
 388  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06701,510
 389  A*01:01:01:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 390  A*02:01:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 391  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 392  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 393  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.065923,595
 394  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.064623,595
 395  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.062623,595
 396  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.059023,595
 397  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.057923,595
 398  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.05771,734
 399  A*33:03:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.05771,734
 400  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.052923,595

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 940) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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