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 401 to 500 (from 691) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*32:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 402  A*33:01-B*44:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 403  A*33:03-B*13:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*47:01  South Africa Worcester 0.3000159
 404  A*68:02-B*14:02-C*08:02-DRB1*15:03-DQA1*02:01-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.3000159
 405  A*68:02-B*15:10-C*03:04-DRB1*13:02-DQA1*02:01-DQB1*06:09-DPB1*04:01  South Africa Worcester 0.3000159
 406  A*74:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 407  A*74:01-B*53:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 408  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 409  A*24:02-B*27:07-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.2801714
 410  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.2801714
 411  A*01:01-B*08:01-C*03:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  USA San Diego 0.2600496
 412  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  USA San Diego 0.2600496
 413  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 414  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQA1*02:01-DQB1*02:02-DPB1*15:01  USA San Diego 0.2600496
 415  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 416  A*02:01-B*13:02-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 417  A*02:01-B*27:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 418  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 419  A*02:01-B*40:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  USA San Diego 0.2600496
 420  A*02:01-B*40:06-C*07:01-DRB1*03:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  USA San Diego 0.2600496
 421  A*02:01-B*44:03-C*04:01-DRB1*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Diego 0.2600496
 422  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 423  A*02:01-B*51:08-C*16:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 424  A*02:01-B*57:01-C*04:01-DRB1*13:02-DQA1*02:01-DQB1*03:03-DPB1*04:01  USA San Diego 0.2600496
 425  A*02:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 426  A*02:05-B*18:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 427  A*03:01-B*35:03-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*06:05-DPB1*02:01  USA San Diego 0.2600496
 428  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 429  A*03:01-B*57:01-C*07:01-DRB1*15:01-DQA1*02:01-DQB1*03:03-DPB1*15:01  USA San Diego 0.2600496
 430  A*11:01-B*35:01-C*04:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 431  A*23:01-B*35:02-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 432  A*24:02-B*15:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 433  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 434  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 435  A*25:01-B*44:02-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 436  A*26:01-B*07:02-C*07:02-DRB1*01:03-DQA1*02:01-DQB1*02:02-DPB1*06:01  USA San Diego 0.2600496
 437  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 438  A*26:01-B*13:02-C*06:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 439  A*26:01-B*51:01-C*04:01-DRB1*14:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 440  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 441  A*31:01-B*49:01-C*01:02-DRB1*08:02-DQA1*02:01-DQB1*04:02-DPB1*17:01  USA San Diego 0.2600496
 442  A*32:01-B*35:01-C*04:01-DRB1*13:05-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 443  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 444  A*36:01-B*53:01-C*16:01-DRB1*11:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  USA San Diego 0.2600496
 445  A*32-B*14-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.2340641
 446  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 447  A*02:01-B*13:02-C*06:02-DRB1*01:01-DQA1*02:01-DQB1*05:01-DPB1*03:01  Nicaragua Managua 0.2165339
 448  A*02:01-B*14:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 449  A*02:01-B*42:01-C*17:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 450  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 451  A*11:01-B*07:02-C*07:02-DRB1*04:07-DQA1*02:01-DQB1*02:02-DPB1*10:01  Nicaragua Managua 0.2165339
 452  A*11:01-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 453  A*23:01-B*08:01-C*03:04-DRB1*01:02-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 454  A*23:01-B*50:01-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Nicaragua Managua 0.2165339
 455  A*24:02-B*35:01-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 456  A*24:02-B*40:08-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 457  A*24:02-B*51:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 458  A*24:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 459  A*24:02-B*57:01-C*07:01-DRB1*14:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 460  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 461  A*30:01-B*13:02-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 462  A*30:01-B*14:02-C*08:02-DRB1*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 463  A*30:02-B*58:01-C*16:01-DRB1*13:04-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 464  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 465  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.2101714
 466  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 467  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 468  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 469  A*33:03-B*35:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 470  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 471  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.2101714
 472  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 473  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 474  A*68:01-B*07:05-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.2101714
 475  A*24-B*50-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.2039641
 476  A*24-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1969641
 477  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1920833
 478  A*24-B*39-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1748641
 479  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1711833
 480  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1681833
 481  A*01-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1623641
 482  DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.15821,064
 483  A*29-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1572641
 484  A*01-B*35-DRB1*07:01-DQA1*02:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 485  A*02-B*07-DRB1*07:01-DQA1*02:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 486  A*02-B*39-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 487  A*02-B*40-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 488  A*02-B*45-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 489  A*11-B*07-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 490  A*23-B*49-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 491  A*29-B*14-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 492  A*32-B*14-DRB1*12:01-DQA1*02:01-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 493  A*32-B*51-DRB1*07:01-DQA1*02:01-DQB1*03:03  Brazil Paraná Caucasian 0.1560641
 494  A*33-B*14-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 495  A*01:01-B*08:01-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 496  A*01:01-B*15:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 497  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 498  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.1401714
 499  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*03:01  Sri Lanka Colombo 0.1401714
 500  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*16:01  Sri Lanka Colombo 0.1401714

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 691) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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.
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