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 501 to 600 (from 15,797) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 158  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*29-B*44-DRB1*07  Brazil South Ribeirao Preto 1.7000184
 502  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  South Korea pop 2 1.7000207
 503  DRB1*07:01-DQB1*02:01  Mexico Oaxaca Zapotec 1.700090
 504  DRB1*07:01-DQB1*02:02-DPB1*04:01  Ireland South 1.7000250
 505  DRB1*07:01-DQB1*03:03  Samoa 1.700029
 506  A*29-B*44-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 1.6807238
 507  A*30-B*13-DRB1*07  Iran pop 4 1.6807855
 508  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.6788146,714
 509  A*30:02-B*41:01-DRB1*07:01  Israel Morocco Jews 1.670036,718
 510  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 511  A*02-B*13-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 512  A*11:01-B*50:01-DRB1*07:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 1.666760
 513  A*23-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 514  A*29-B*44-DRB1*07-DQB1*02  Mexico Morelos Rural 1.666730
 515  A*30-B*15:03-DRB1*07-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 516  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 517  A*68-B*50-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 518  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 1.64601,176
 519  A*02-B*44-DRB1*07-DQB1*02  Mexico Sinaloa Rural 1.6393183
 520  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 521  A*01:01-B*49:01-DRB1*07:01  Israel Morocco Jews 1.620036,718
 522  B*44-DRB1*07  Morocco pop 2 1.6200110
 523  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 524  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 525  DRB1*07:01-DQB1*03:01  Italy pop 5 1.6100975
 526  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 527  A*01:01:01-B*37:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 528  A*01:01:01-B*44:03:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 529  A*02:01:01-B*57:01:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 530  A*02-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.6000127
 531  A*02-B*18-C*07:01-DRB1*07-DQB1*02  Russia North Ossetian 1.6000127
 532  A*02-B*44-DRB1*07  Brazil Parana Mixed race 1.6000186
 533  A*02-B*44-DRB1*07  Portugal Aveiro 1.60005,933
 534  A*02-B*50-DRB1*07  Madeira pop 3 1.6000538
 535  A*03:01:01-B*41:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 536  A*24:02:01-B*14:01-DRB1*07:01:01  Madeira 1.6000185
 537  A*24-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 1.600088
 538  A*29-B*44-DRB1*07  Portugal South pop 2 1.60001,021
 539  A*29-B*44-DRB1*07  Brazil Parana Mixed race 1.6000186
 540  A*29-B*44-DRB1*07  Brazil Parana Cafuzo 1.6000319
 541  A*29-B*44-DRB1*07  Brazil Rio Grande do Sul Caucasoid 1.60004,428
 542  A*29-B*44-DRB1*07  Madeira pop 3 1.6000538
 543  A*29-B*44-DRB1*07  Portugal Aveiro 1.60005,933
 544  A*29-B*44-DRB1*07:01  USA NMDP Caucasian 1.60002,361,208
 545  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 546  A*30:01-B*57:03:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 547  A*33-B*44-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.6000359,423
 548  DRB1*07:01-DQA1*02:01-DQB1*03:03  Italy Sardinia Oristano 1.600091
 549  DRB1*07:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.6000246
 550  DRB1*07:01-DQB1*02:02-DPB1*11:01  Ireland South 1.6000250
 551  DRB1*07-DQA1*02:01-DQB1*02:01  Canada British Columbia Athabaskan 1.600062
 552  DRB1*07-DRB4*01-DQA1*02-DQB1*02-DPB1*11  USA San Francisco Caucasian 1.6000220
 553  DRB1*07-DRB4*01-DQA1*02-DQB1*02-DPB1*17  USA San Francisco Caucasian 1.6000220
 554  A*01-B*39-DRB1*07-DQB1*02  Mexico Aguascalientes state 1.578995
 555  A*23-B*44-DRB1*07-DQB1*02  Mexico Aguascalientes state 1.578995
 556  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 557  A*01:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 558  A*02:01-B*35:05-DRB1*07:01-DQB1*03:01  Tunisia Gabes 1.570095
 559  A*03:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 560  A*23:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 561  A*68:02-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 562  A*69:01-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 563  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 1.56711,242,890
 564  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - United Kingdom minority 1.56301,043
 565  A*02-B*13-C*06-DRB1*07  Macedonia MBMDR - Albanian 1.5625128
 566  A*23-B*44-C*04-DRB1*07  Macedonia MBMDR - Albanian 1.5625128
 567  A*02-B*57-C*06-DRB1*07  Myanmar Mon 1.562064
 568  A*02:50-B*07:03-C*15:02-DRB1*07:01-DQB1*06:03  Iran Gorgan 1.560064
 569  A*03:01-B*13:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 1.560064
 570  A*30-B*13-DRB1*07  Thailand pop 4 1.560016,807
 571  A*03-B*51-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 1.5487226
 572  A*02:01-B*57:01-DRB1*07:01-DQB1*03:03  Chile Mapuche 1.540066
 573  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 574  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 575  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 576  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 577  A*01-B*13-DRB1*07  Russia South Ural Tatar 1.5000135
 578  A*01-B*57-DRB1*07  Wales 1.50001,798
 579  A*02-B*41-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 580  A*02-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 1.5000173
 581  A*02-B*44-DRB1*07-DQB1*02  Guatemala Mayan 1.5000132
 582  A*02-B*51-DRB1*07  Portugal Viana do Castelo 1.5000706
 583  A*03-B*35-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 584  A*23-B*44-DRB1*07  Portugal Aveiro 1.50005,933
 585  A*23-B*44-DRB1*07-DQB1*02  Mexico Baja Californa, Mexicali 1.5000100
 586  A*24-B*13-DRB1*07  Russia South Ural Bashkir 1.5000146
 587  A*24-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 1.500095
 588  A*29-B*44-DRB1*07  Wales 1.50001,798
 589  A*29-B*44-DRB1*07  Brazil Minas Gerais State Mixed 1.50001,000
 590  A*30:01-B*53:01-DRB1*07:01  Sao Tome Island Forro 1.500066
 591  A*31-B*18-DRB1*07  Brazil Parana Oriental 1.500033
 592  DRB1*07:01-DQA1*02:01-DQB1*03:03  Australia New South Wales Aborigine 1.5000177
 593  DRB1*07-DQA1*02:01-DQB1*03:02  Algeria pop 2 1.5000106
 594  DRB1*07:01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.4970496
 595  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Mexico Tixcacaltuyub Maya 1.492567
 596  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 1.491427,978
 597  DRB1*07:01:01:01-DQB1*02:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.4890496
 598  DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 1.48401,999
 599  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Mexico City West 1.470633
 600  A*02-B*44-DRB1*07-DQB1*02  Mexico Campeche, Campeche city 1.470634

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 501 to 600 (from 15,797) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 158  


   

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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