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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 4,321) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  B*44:02-DRB1*16:01  Italy pop 5 0.2900975
 402  A*11:01-B*44:02-DRB1*11:04  Israel Iraq Jews 0.289013,270
 403  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.28801,159
 404  A*02:01-B*44:02-C*05:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.28801,043
 405  A*31:01:02-B*44:02:01-C*14:02:01-DRB1*01:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 406  A*01:01-B*44:02-DRB1*13:01  Israel Morocco Jews 0.286036,718
 407  A*24:02:01-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.2842519
 408  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - Portugal minority 0.28401,176
 409  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - France minority 0.28301,406
 410  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - Romania minority 0.28301,234
 411  A*02:01-B*44:02-C*05:01-DRB1*14:01  Germany DKMS - Netherlands minority 0.28101,374
 412  A*02:01-B*44:02-DRB1*04:01  Croatia pop 4 0.28004,000
 413  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.27851,075
 414  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
 415  A*01:01-B*44:02-DRB1*13:01  Israel YemenJews 0.275015,542
 416  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - France minority 0.27501,406
 417  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 418  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.27341,376
 419  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 420  A*02:01-B*44:02-C*05:01-DRB1*14:01  Germany DKMS - Spain minority 0.27101,107
 421  A*01:01-B*44:02-C*05:01  Italy pop 5 0.2700975
 422  B*44:02-C*07:04  USA African American pop 4 0.27002,411
 423  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
 424  A*03:01:01-B*44:02:01-C*15:02:01-DRB1*11:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 425  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.26601,999
 426  A*03:01-B*44:02-C*05:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.26501,043
 427  A*68:01:02-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.2644519
 428  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
 429  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26141,463
 430  A*01:01:01:01-B*44:02:01:01-C*03:02:02-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 431  A*01:01:01:01-B*44:02:01:01-C*08:02:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 432  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
 433  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
 434  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
 435  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
 436  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
 437  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
 438  A*24:02:01:01-B*44:02:01:01-C*16:04:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 439  A*24:02:01:01-B*44:02:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 440  A*26:01:01-B*44:02:01:01-C*03:03:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 441  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
 442  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
 443  A*68:01:01:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 444  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
 445  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
 446  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
 447  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
 448  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
 449  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
 450  A*02:01-B*44:02-C*07:04-DRB1*12:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 451  A*02:01-B*44:02-DRB1*15:01  Croatia pop 4 0.26004,000
 452  A*02:05-B*44:02-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 453  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
 454  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
 455  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
 456  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
 457  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
 458  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
 459  A*02:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - Netherlands minority 0.25201,374
 460  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
 461  A*01:01-B*44:02-DRB1*11:04  Israel Arab pop 2 0.250012,301
 462  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
 463  A*02:01-B*44:02-C*05:01-DRB1*01:01  Germany DKMS - France minority 0.24801,406
 464  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.244623,595
 465  A*02:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - Romania minority 0.24301,234
 466  A*68:01:02-B*44:02:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.2429519
 467  A*02:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - France minority 0.24201,406
 468  A*02:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - Greece minority 0.24101,894
 469  A*31:08-B*44:02-DRB1*03:01  Israel Druze 0.24105,914
 470  B*44:02-DRB1*03:01  Italy pop 5 0.2400975
 471  B*44:02-DRB1*12:01  Italy pop 5 0.2400975
 472  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 473  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 474  A*02:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - Greece minority 0.23801,894
 475  A*03:01-B*44:02-C*05:01-DRB1*13:01  Japan pop 16 0.235018,604
 476  A*02:01:01-B*44:02:01-C*07:04:01  England Blood Donors of Mixed Ethnicity 0.2347519
 477  A*03:01-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - China minority 0.23401,282
 478  A*24:02-B*44:02-DRB1*11:04  Israel Arab pop 2 0.234012,301
 479  A*26:01-B*44:02-C*05:01-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.23401,999
 480  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP African 0.233628,557
 481  A*24:02-B*44:02-C*16:04-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.23204,856
 482  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 483  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 484  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 485  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 486  A*26:01:01-B*44:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 487  A*31:01:02-B*44:02:01-C*12:03:01-DRB1*08:04:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 488  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*16:02:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 489  A*33:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 490  A*34:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 491  A*80:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 492  A*30:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*01:01  Mexico Chiapas Lacandon Mayans 0.2294218
 493  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 494  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*11:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 495  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 496  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 497  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 498  A*11:01-B*44:02-C*05:01-DRB1*12:01  Germany DKMS - Spain minority 0.22601,107
 499  A*03:01-B*44:02-C*07:04-DRB1*16:01  Poland DKMS 0.225220,653
 500  A*24:02-B*44:02-C*02:02-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.223614,339

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 4,321) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  


   

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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