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 2,081) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*02:07-B*48:01-DRB1*12:01  Israel USSR Jews 0.001145,681
 502  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1105221
 503  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.0947221
 504  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0210221
 505  A*02:11:01-B*48:04:01-C*03:03:01-DRB1*15:02:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 506  A*02:11:01-B*48:04:01-C*06:02:01-DRB1*12:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 507  A*02:11-B*48:01-C*08:03-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 508  A*02:11-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 509  A*02:11-B*48:02  USA African American pop 4 0.02102,411
 510  A*02:11-B*48:02  USA Hispanic pop 2 0.02501,999
 511  A*02:11-B*48:02-C*04:01-DRB1*09:01  Germany DKMS - Spain minority 0.04501,107
 512  A*02:11-B*48:02-DRB1*09:01  Israel Argentina Jews 0.01164,307
 513  A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 514  A*02:13-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 515  A*02:16-B*48:01-DRB1*04:03  Israel Argentina Jews 0.01234,307
 516  A*02:22-B*48:01-C*07:02-DRB1*04:10-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 517  A*02:22-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 518  A*02:22-B*48:01-C*08:03-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 519  A*02-B*48  Russia South Ural Bashkir 5.5000146
 520  A*02-B*48-C*08  Brazil Parana Japanese 1.3000192
 521  A*02-B*48-C*08  South Korea pop 1 1.7000324
 522  A*02-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 523  A*02-B*48-C*08:01-DRB1*14:02-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 524  A*02-B*48-C*08:03-DRB1*04:05-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 525  A*02-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 526  A*02-B*48-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 527  A*02-B*48-C*08-DRB1*04-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.02004,510
 528  A*02-B*48-C*08-DRB1*14-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.01004,510
 529  A*02-B*48-C*08-DRB1*15  Myanmar Mon 0.781064
 530  A*02-B*48-DRB1*01  Brazil Para Cord Blood Unit 0.0595841
 531  A*02-B*48-DRB1*01  Brazil South East Cord Blood 0.005011,409
 532  A*02-B*48-DRB1*04  Brazil South East Cord Blood 0.081011,409
 533  A*02-B*48-DRB1*04  Brazil Para State 0.08975,000
 534  A*02-B*48-DRB1*04  Brazil Para Cord Blood Unit 0.0595841
 535  A*02-B*48-DRB1*04  Brazil Parana Oriental 1.500033
 536  A*02-B*48-DRB1*04:03  Chile Santiago 0.0255920
 537  A*02-B*48-DRB1*04:03-DQB1*03:02  Peru Lamas City Lama 7.800083
 538  A*02-B*48-DRB1*04:04  USA NMDP Hispanic 0.2000449,844
 539  A*02-B*48-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 540  A*02-B*48-DRB1*04:05  Chile Santiago 0.0561920
 541  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 0.856087
 542  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 1.450069
 543  A*02-B*48-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 544  A*02-B*48-DRB1*04:07-DQB1*03:02  Peru Lamas City Lama 2.400083
 545  A*02-B*48-DRB1*04:11-DQB1*03:02  Peru Lamas City Lama 2.400083
 546  A*02-B*48-DRB1*04:52  Chile Santiago 0.0255920
 547  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.4854824
 548  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.46891,173
 549  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 550  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 551  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.60121,994
 552  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 553  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.5312751
 554  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 555  A*02-B*48-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 5.000030
 556  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 1.3369187
 557  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 558  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 2.4793121
 559  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 1.3253830
 560  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.5396833
 561  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.2053485
 562  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 563  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 564  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 565  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.785784
 566  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.3750396
 567  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 4.109672
 568  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.6470539
 569  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 570  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 571  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 572  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.4425226
 573  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 0.515597
 574  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 575  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.67001,189
 576  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 577  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 1.282178
 578  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 579  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.0929183
 580  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 2.000075
 581  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 582  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 583  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.4202119
 584  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.4545439
 585  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.5731348
 586  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.6135162
 587  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 588  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 589  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.9294266
 590  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 591  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.5973585
 592  A*02-B*48-DRB1*04-DQB1*04  Ecuador Andes Mixed Ancestry 0.0607824
 593  A*02-B*48-DRB1*04-DQB1*04  Ecuador Mixed Ancestry 0.04261,173
 594  A*02-B*48-DRB1*04-DQB1*04  Mexico Veracruz, Poza Rica 1.111145
 595  A*02-B*48-DRB1*04-DQB1*04  Mexico Puebla, Puebla city 0.05011,994
 596  A*02-B*48-DRB1*04-DQB1*04  Mexico Tlaxcala Rural 0.1807830
 597  A*02-B*48-DRB1*07  Russia South Ural Bashkir 3.1000146
 598  A*02-B*48-DRB1*08  Brazil Para Cord Blood Unit 0.1209841
 599  A*02-B*48-DRB1*08  Brazil South East Cord Blood 0.015011,409
 600  A*02-B*48-DRB1*08  Brazil Para State 0.23275,000

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 2,081) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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