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 6,198) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 1.4881168
 502  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 1.4881168
 503  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 1.47801,994
 504  A*02-B*39-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 1.4706238
 505  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 506  A*24-B*39-DRB1*08-DQB1*04  Mexico Mexico City West 1.470633
 507  A*24-B*39-DRB1*11-DQB1*03:01  Mexico Mexico City West 1.470633
 508  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City West 1.470633
 509  A*31-B*39-DRB1*08-DQB1*04  Mexico Mexico City West 1.470633
 510  A*68-B*39-DRB1*08-DQB1*04  Mexico Mexico City West 1.470633
 511  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 512  A*03:01:01-B*39:01:01-C*07:04:01-DRB1*12:10-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 513  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 514  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 515  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.4563103
 516  A*02-B*39-DRB1*15:01-DQB1*06:02  Bolivia Quechua 1.450069
 517  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 518  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 519  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 520  A*68-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 521  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tabasco Rural 1.4085142
 522  A*02:01-B*39:01-DRB1*16:02:01-DQB1*03:01  USA South Dakota Lakota Sioux 1.4000302
 523  A*68:03-B*39:05  Cuba Caucasian 1.400070
 524  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.3986143
 525  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 526  B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 527  B*39-DRB1*16  Macedonia 1.3986286
 528  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City North 1.3944751
 529  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City North 1.3944751
 530  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 531  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 532  A*02:01:01-B*39:02:01-C*03:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 533  A*02-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 534  A*02-B*39-C*07-DRB1*14-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 535  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Guerrero state 1.3889144
 536  A*24-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 537  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 1.3889106
 538  A*31:01-B*39:05-C*03:04-DRB1*08:02  Brazil Vale do Ribeira Quilombos 1.3889144
 539  A*68-B*39-C*07-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 540  A*68-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 541  A*68-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 542  B*39-C*07-DRB1*11-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 543  B*39-C*07-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 544  B*39-C*07-DRB1*14-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 545  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 1.3863539
 546  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.3812181
 547  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.3812181
 548  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.3761326
 549  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila, Saltillo 1.369972
 550  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*04:11:01  Costa Rica Guanacaste Mestizo (G) 1.3636110
 551  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 1.3636439
 552  A*24-B*39-DRB1*04-DQA1*03-DQB1*03:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 553  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 1.3369187
 554  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 1.3369187
 555  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 556  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 1.333375
 557  A*31:01-B*39:01-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 1.3333150
 558  A*02-B*39-DRB1*13:01  Colombia Barranquilla 1.3300188
 559  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 1.32771,994
 560  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.3274226
 561  A*02-B*39-DRB1*04-DQB1*04  Mexico Oaxaca, Oaxaca city 1.3245151
 562  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 1.3245151
 563  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.3158150
 564  A*68-B*39-DRB1*14:02-DQB1*03:01  Bolivia La Paz Aymaras 1.310087
 565  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 1.3011266
 566  A*02-B*39-DRB1*04  Brazil Parana Afro Brazilian 1.300077
 567  A*24:02-B*39:06  USA Hispanic 1.3000234
 568  A*24:02-B*39:06-C*07:02  USA Hispanic 1.3000234
 569  A*24-B*39-DRB1*08-DQA1*04:01-DQB1*04:02  Georgia Svaneti Region Svan 1.300080
 570  A*31:01-B*39:06  Oman 1.3000118
 571  A*31-B*39-C*07  Brazil Parana Japanese 1.3000192
 572  A*32:01-B*39:06-DRB1*08:01  Azores Oriental Islands 1.300043
 573  B*39:01-C*07:02  USA Hispanic 1.3000234
 574  B*39:01-C*12:03  Italy pop 5 1.3000975
 575  B*39:01-DRB1*11:01:01  Taiwan Taroko 1.300055
 576  B*39:01-DRB1*11:01:01  Taiwan Ami 1.300098
 577  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Center 1.2987152
 578  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City Center 1.2987152
 579  A*31-B*39-DRB1*08  Brazil Para Cord Blood Unit 1.2866841
 580  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 1.282139
 581  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 582  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Tlaquepaque 1.282139
 583  A*24-B*39-DRB1*08-DQB1*04  Ecuador Amazonia Mixed Ancestry 1.282139
 584  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 585  A*24-B*39-DRB1*16-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 586  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlaquepaque 1.282139
 587  A*31-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tlaquepaque 1.282139
 588  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlaquepaque 1.282139
 589  A*68-B*39-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 590  A*02:01-B*39:24-DRB1*07:01  Gaza 1.282042
 591  A*02:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.2800234
 592  A*68:01-B*39:05-DRB1*04:07  Mexico Oaxaca Jamiltepec Mixtec 1.280096
 593  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 594  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Sonora Rural 1.2690197
 595  A*02-B*39-DRB1*01-DQB1*05  Mexico Mexico City East 1.250079
 596  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 597  A*31-B*39-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.241087
 598  A*02-B*39-C*07  Brazil Parana Japanese 1.2400192
 599  A*68-B*39-DRB1*16:02-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.240053
 600  A*02-B*39-DRB1*08-DQB1*04  Mexico Chiapas Rural 1.2397121

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 6,198) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  


   

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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