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 3,427) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.31201,376
 402  A*02-B*44-C*05-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.31004,510
 403  A*03-B*51-C*05-DRB1*16-DQB1*05  Albania pop 2 0.3100432
 404  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 405  A*02-B*44-C*05-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.30101,743
 406  A*01:01-B*44:02-C*05:01-DRB1*04:07:01-DQB1*03:01  England North West 0.3000298
 407  A*02:01-B*44:02-C*05:01-DRB1*01:01  Italy pop 5 0.3000975
 408  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Africa Worcester 0.3000159
 409  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 410  A*02:01-B*44:02-C*05:01-DRB1*07:01  Italy pop 5 0.3000975
 411  A*02:01-B*44:02-C*05:01-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 412  A*02:01-B*44:02-C*05:01-DRB1*11:01  Italy pop 5 0.3000975
 413  A*02:01-B*44:02-C*05:01-DRB1*11:04  Italy pop 5 0.3000975
 414  A*02:01-B*58:01-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 415  A*29:01-B*44:02-C*05:01-DRB1*01:01-DQA1*05:05-DQB1*05:01-DPB1*18:01  South Africa Worcester 0.3000159
 416  A*32:01-B*44:02-C*05:01  Italy pop 5 0.3000975
 417  A*02:01-B*44:02-C*05:01-DRB1*01:01  Germany DKMS - Romania minority 0.29901,234
 418  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Caribean Hispanic 0.2972115,374
 419  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.29401,159
 420  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.29215,926
 421  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.2900975
 422  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.2900975
 423  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.2900975
 424  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.2900975
 425  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 426  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.28801,159
 427  A*02:01-B*44:02-C*05:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 428  A*33:03:01-B*51:01:01-C*05:01:01-DRB1*11:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 429  A*02-B*44-C*05-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.28571,743
 430  A*24:02:01-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.2842519
 431  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - Portugal minority 0.28401,176
 432  A*30:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - France minority 0.28401,406
 433  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - France minority 0.28301,406
 434  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - Romania minority 0.28301,234
 435  A*02:01-B*44:02-C*05:01-DRB1*14:01  Germany DKMS - Netherlands minority 0.28101,374
 436  A*01-B*44-C*05-DRB1*11-DQB1*03  Albania pop 2 0.2800432
 437  A*24:02-C*05:01  Italy pop 5 0.2800975
 438  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.27851,075
 439  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.27801,510
 440  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - France minority 0.27501,406
 441  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 442  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.27341,376
 443  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 444  A*02:01-B*44:02-C*05:01-DRB1*14:01  Germany DKMS - Spain minority 0.27101,107
 445  A*01:01-B*44:02-C*05:01  Italy pop 5 0.2700975
 446  A*02:11:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 447  A*11:01:01-B*40:06:01-C*05:01:01-DRB1*03:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 448  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.26601,999
 449  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.265914,339
 450  A*03:01-B*44:02-C*05:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.26501,043
 451  A*68:01:02-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.2644519
 452  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.26405,926
 453  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.26355,926
 454  A*30:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.26201,374
 455  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26141,463
 456  A*01:01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 457  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 458  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 459  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 460  A*02:64-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 461  A*11:01:01:01-B*18:01:01:01-C*05:01:01:01-DRB1*11:04:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 462  A*24:02:01:01-B*44:02:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 463  A*30:01:01-B*13:02:01-C*05:01:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 464  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 465  A*33:03:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:02:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 466  A*68:02:01:01-B*14:02:01-C*05:01:01:02-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 467  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 468  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 469  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 470  A*02:01-B*44:02-C*05:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 471  A*02:01-B*44:02-C*05:01-DRB1*12:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 472  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 473  A*02-B*52-C*05  Brazil Parana Japanese 0.2600192
 474  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
 475  A*03:01-B*44:02-C*05:01-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 476  A*03-B*51-C*05  Brazil Parana Japanese 0.2600192
 477  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
 478  A*31-B*44-C*05  Brazil Parana Japanese 0.2600192
 479  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 480  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
 481  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 482  A*32:01-B*44:02-C*05:01-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*06:01  USA San Diego 0.2600496
 483  A*32:01-B*44:03-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 484  A*33:03-B*18:01-C*05:01-DRB1*04:04-DQA1*05:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.2600496
 485  A*68:01-B*49:01-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*06:01-DPB1*02:01  USA San Diego 0.2600496
 486  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - Netherlands minority 0.25201,374
 487  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Caribean Black 0.251233,328
 488  A*02-B*44-C*05-DRB1*13  Macedonia MBMDR - Macedonian 0.25111,283
 489  B*35:01-C*05:01  Italy pop 5 0.2500975
 490  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.249614,339
 491  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Black South or Central American 0.24884,889
 492  A*02:01-B*44:02-C*05:01-DRB1*01:01  Germany DKMS - France minority 0.24801,406
 493  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.247370,890
 494  A*02:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - France minority 0.24201,406
 495  A*02:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - Greece minority 0.24101,894
 496  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 497  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 498  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 499  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - Greece minority 0.23801,894
 500  A*03:01-B*44:02-C*05:01-DRB1*13:01  Japan pop 16 0.235018,604

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 3,427) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  


   

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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