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 7,008) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*33:01-B*58:01-DRB1*14:01-DQB1*05:02  Iran Saqqez-Baneh Kurds 0.833360
 502  A*33:03:01-C*08:01:01-DRB1*12:02:01  China Jingpo Minority 0.8310105
 503  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Chiapas Rural 0.8264121
 504  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.82001,159
 505  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Sinaloa Rural 0.8197183
 506  A*33-B*35-DRB1*01-DQB1*05  Mexico Colima, Colima city 0.819761
 507  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Colima, Colima city 0.819761
 508  A*33:03:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 509  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.80161,994
 510  A*33-B*14-DRB1*01:02  USA NMDP Hispanic 0.8000449,844
 511  A*33-B*58-C*03-DRB1*03  Myanmar Kachin 0.794063
 512  A*33:01-G*01:03  Ecuador Amerindians 0.793763
 513  A*33:03-G*01:05N  Ecuador Amerindians 0.793763
 514  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.7930174
 515  A*33-B*14:02-DRB1*01-DQB1*05  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 516  A*33:01:01-B*14:02:01-C*08:02:01:01-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 517  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Nayarit Rural 0.781264
 518  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Nayarit Rural 0.781264
 519  A*33-B*78-DRB1*13-DQB1*06  Mexico Nayarit Rural 0.781264
 520  A*33-B*07-C*07-DRB1*14  Myanmar Mon 0.781064
 521  A*33-B*13-C*07-DRB1*11  Myanmar Mon 0.781064
 522  A*33-B*40-C*15-DRB1*04  Myanmar Mon 0.781064
 523  A*33-B*58-C*03-DRB1*10  Myanmar Mon 0.781064
 524  A*33-B*58-C*07-DRB1*16  Myanmar Mon 0.781064
 525  A*33:01-B*14:02-C*08:01-DRB1*01:01-DQB1*06:01  Iran Gorgan 0.780064
 526  A*33:01-B*18:01-C*07:01-DRB1*01:01-DQB1*05:01  Iran Gorgan 0.780064
 527  A*33:01-B*35:01-C*06:02-DRB1*11:28-DQB1*02:01  Iran Gorgan 0.780064
 528  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*06:01  Iran Gorgan 0.780064
 529  A*33:03-B*44:03-C*14:03-DRB1*13:02  Germany DKMS - China minority 0.78001,282
 530  A*33:03-B*53:01-C*04:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.77902,411
 531  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP African 0.774028,557
 532  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  Sri Lanka Colombo 0.7703714
 533  A*33:01-B*14:01-DRB1*07:01-DQB1*02:01  Chile Mapuche 0.770066
 534  A*33:01-B*39:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 535  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.76901,028
 536  A*33:01-B*14:02-DRB1*11:04  Israel Tunisia Jews 0.74609,070
 537  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 538  A*33:01-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - Greece minority 0.73701,894
 539  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.732811,499
 540  A*33:03:01-B*40:01:01  China Jingpo Minority 0.7280105
 541  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.72025,266
 542  A*33-B*14-DRB1*01:02-DQB1*05:01  Bolivia Quechua 0.720069
 543  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP African American pop 2 0.7146416,581
 544  A*33-B*15-DRB1*12  India sub-Himalayan West Bengal Kami 0.7100158
 545  A*33:01-B*18:01-DRB1*11:04  Israel Libya Jews 0.70603,739
 546  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 547  A*33-B*44-DRB1*07  China Shaanxi Province Han 0.700010,000
 548  A*33-B*53-DRB1*08:04  USA NMDP African American 0.7000412,861
 549  A*33-B*14:01-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 0.6993143
 550  A*33-B*18-DRB1*07-DQB1*03:03  Mexico Sonora, Ciudad Obregón 0.6993143
 551  A*33:01:01-B*14:02:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 552  A*33:03-B*58:01-C*03:02-DRB1*04:01  Brazil Vale do Ribeira Quilombos 0.6944144
 553  A*33-B*14-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 554  A*33-B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 555  A*33-B*15-C*03-DRB1*16-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 556  A*33:01-B*14:02-DRB1*11:04  Israel Morocco Jews 0.693036,718
 557  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Nuevo Leon Rural 0.6818439
 558  A*33:01-B*44:03-DRB1*01:02  Israel Morocco Jews 0.679036,718
 559  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 560  A*33:01-B*14:02-DRB1*07:01  Israel YemenJews 0.675015,542
 561  A*33-B*15-DRB1*03-DQB1*03  Iraq Arabs 0.6700149
 562  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.66701,772
 563  A*33-B*58-C*03:02-DRB1*13:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 564  A*33-B*07-DRB1*13-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 565  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Baja California, La Paz 0.666775
 566  A*33-B*53-DRB1*13-DQB1*02  Mexico Baja California, La Paz 0.666775
 567  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.6623150
 568  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 569  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Southeast Asian 0.658827,978
 570  A*33-B*35-DRB1*01-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.6579150
 571  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Mexico City Center 0.6494152
 572  A*33-B*14:02-DRB1*13-DQB1*06  Mexico Mexico City Center 0.6494152
 573  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.6452155
 574  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP South Asian Indian 0.6448185,391
 575  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Guanajuato, Leon 0.641078
 576  A*33:01-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.6390336
 577  A*33-B*14-DRB1*01:02  Chile Santiago 0.6386920
 578  A*33:01-B*14:02-DRB1*10:01  Israel Kavkazi Jews 0.63402,840
 579  A*33-B*14-DRB1*01  Brazil Para State 0.63255,000
 580  A*33-B*58-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.6303238
 581  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 582  A*33:03-B*58:01-C*03:02  Italy pop 5 0.6300975
 583  A*33-B*07-DRB1*03:01-DQB1*02  Mexico Mexico City East 0.625079
 584  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.6250396
 585  A*33-B*14:02-DRB1*10-DQB1*05  Mexico Mexico City East 0.625079
 586  A*33-B*51-DRB1*15-DQB1*06  Mexico Mexico City East 0.625079
 587  A*33-B*13-DRB1*14  India sub-Himalayan West Bengal Kami 0.6200158
 588  A*33-B*44-DRB1*01  India sub-Himalayan West Bengal Kami 0.6200158
 589  A*33-B*52-DRB1*07  India sub-Himalayan West Bengal Kami 0.6200158
 590  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Hidalgo Rural 0.617381
 591  A*33-B*15:01-DRB1*15-DQB1*06  Mexico Hidalgo Rural 0.617381
 592  A*33-B*14:02-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.6135162
 593  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 594  A*33-B*35-DRB1*11-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 595  A*33-B*40:02-DRB1*11-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 596  A*33:03-B*44:03-DRB1*07:01  Hong Kong Chinese cord blood registry 0.60823,892
 597  A*33:01-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - Romania minority 0.60801,234
 598  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 599  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.6030115,374
 600  A*33:01-B*15:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284

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 7,008) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  


   

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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