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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 732) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*03:01-B*13:02-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 402  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 403  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*15:01  USA San Diego 0.2600496
 404  A*03:01-B*35:03-C*04:01-DRB1*04:07-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 405  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 406  A*11:01-B*15:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01  USA San Diego 0.2600496
 407  A*11:01-B*27:05-C*01:02-DRB1*04:01-DQA1*01:01-DQB1*05:01-DPB1*51:01  USA San Diego 0.2600496
 408  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 409  A*11:01-B*44:02-C*06:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*06:01  USA San Diego 0.2600496
 410  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 411  A*23:01-B*15:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  USA San Diego 0.2600496
 412  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 413  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 414  A*24:02-B*35:05-C*03:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 415  A*24:02-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 416  A*25:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 417  A*29:02-B*35:01-C*16:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 418  A*30:01-B*13:02-C*06:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 419  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 420  A*31:01-B*35:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 421  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  USA San Diego 0.2600496
 422  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.2485833
 423  DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.23911,064
 424  A*24-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.2340641
 425  A*25-B*18-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.2340641
 426  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 427  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 428  A*01:01-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 429  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 430  A*30:02-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 431  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 432  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 433  A*33:03-B*42:02-C*17:01-DRB1*12:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 434  A*68:05-B*39:05-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 435  A*01:01-B*14:02-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 436  A*01:01-B*44:03-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 437  A*02:01-B*15:01-C*07:04-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 438  A*02:01-B*15:03-C*02:10-DRB1*11:04-DQA1*01:02-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 439  A*02:01-B*27:05-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 440  A*02:01-B*40:02-C*03:05-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 441  A*02:01-B*40:02-C*03:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 442  A*02:01-B*40:27-C*18:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 443  A*02:02-B*44:02-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 444  A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 445  A*03:01-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 446  A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 447  A*11:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 448  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 449  A*26:01-B*56:01-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 450  A*30:01-B*13:02-C*06:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 451  A*30:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 452  A*30:02-B*14:02-C*08:02-DRB1*13:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 453  A*30:02-B*57:03-C*02:02-DRB1*13:01-DQA1*01:02-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 454  A*31:01-B*15:04-C*05:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 455  A*34:02-B*44:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 456  A*68:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 457  A*68:02-B*15:03-C*02:10-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 458  A*68:02-B*40:02-C*02:02-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 459  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 460  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2101714
 461  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 462  A*33:03-B*58:01-C*03:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 463  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 464  A*24-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1950641
 465  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1945833
 466  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1817833
 467  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1736833
 468  A*03-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1654641
 469  A*01-B*27-DRB1*14:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 470  A*01-B*51-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 471  A*02-B*07-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 472  A*02-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 473  A*02-B*40-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 474  A*03-B*52-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 475  A*11-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 476  A*24-B*07-DRB1*11:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 477  A*26-B*57-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 478  A*29-B*07-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 479  A*33-B*14-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 480  A*68-B*40-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 481  A*74-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 482  A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 483  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 484  A*02:11-B*15:05-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 485  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 486  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 487  A*11:01-B*37:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 488  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 489  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 490  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 491  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 492  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 493  A*68:01-B*55:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 494  DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13631,064
 495  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 496  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.13003,078
 497  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 498  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*834:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12851,064
 499  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12551,064
 500  DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*21:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12241,064

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 732) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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