Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 1,741) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 402  A*33:01:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 403  A*68:02:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 404  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.22971,510
 405  DRB1*15:01:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2290496
 406  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.22521,734
 407  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.22221,734
 408  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.22195,266
 409  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.220323,595
 410  DRB1*15:01:01:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 411  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.20181,734
 412  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1970356
 413  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.196523,595
 414  A*02:01:01-B*13:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 415  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 416  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*02:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 417  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 418  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 419  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 420  A*11:01:01-B*18:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 421  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 422  A*11:01:01-B*57:01:01-C*04:01:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 423  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 424  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 425  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 426  A*24:03:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 427  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 428  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 429  A*31:01:02-B*67:01:02-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 430  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 431  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 432  A*74:03-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 433  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1945521
 434  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18811,510
 435  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18391,510
 436  A*31:01:02-B*35:08-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.180228,927
 437  A*33:03:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1790356
 438  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.17301,734
 439  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1690356
 440  A*02:01:01-B*07:04-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 441  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 442  DRB1*15:01:01:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1650496
 443  DRB1*15:01:01:01-DQB1*06:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1630496
 444  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.16211,734
 445  DRB1*15:01:01:01-DQB1*06:02-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.1610496
 446  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.159923,595
 447  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.159723,595
 448  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.1520192
 449  DRB1*15:01:01:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.1510496
 450  DRB1*15:01:01:01-DQB1*06:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 0.1500496
 451  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14965,266
 452  A*02:01:01-B*07:04-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.146223,595
 453  A*02:01:01-B*15:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.14421,734
 454  A*01:01:01-B*07:02:21-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 455  A*01:01:01-B*13:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 456  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 457  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 458  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 459  A*02:01:01-B*35:03:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 460  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 461  A*02:01:01-B*40:06:01-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 462  A*02:01:01-B*51:06:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 463  A*02:01:08-B*15:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 464  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 465  A*02:11:01-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 466  A*02:11:01-B*40:06:01-C*15:64-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 467  A*02:16-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 468  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*15:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 469  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 470  A*11:01:01-B*08:01:01-C*04:06-DRB1*15:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 471  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 472  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 473  A*11:01:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 474  A*11:03-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 475  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 476  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 477  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 478  A*24:02:01-B*40:01:02-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 479  A*24:02:01-B*40:06:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 480  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 481  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 482  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:04  India Kerala Malayalam speaking 0.1400356
 483  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*15:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 484  A*24:11N-B*51:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 485  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 486  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 487  A*29:01:01-B*13:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 488  A*29:01:01-B*40:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 489  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 490  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 491  A*31:01:02-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 492  A*31:01:02-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 493  A*31:01:02-B*58:34-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 494  A*32:01:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 495  A*32:01:01-B*51:01:01-C*12:02:02-DRB1*15:01:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 496  A*33:01:01-B*35:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 497  A*33:03:01-B*58:01:01-C*12:02:01-DRB1*15:01:01-DQB1*06:05:02  India Kerala Malayalam speaking 0.1400356
 498  A*68:01:01-B*07:02:01-C*15:02:01-DRB1*15:01:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 499  A*68:01:02-B*07:02:01-C*03:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 500  A*68:01:02-B*13:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356

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 401 to 500 (from 1,741) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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