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 1,601 to 1,700 (from 6,198) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 62  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,601  A*02-B*39-DRB1*04-DQB1*04  Mexico Puebla Rural 0.4197833
 1,602  A*02-B*39-DRB1*04-DQB1*04  Mexico Oaxaca Rural 0.1027485
 1,603  A*02-B*39-DRB1*07  Albania pop 2 0.2300432
 1,604  A*02-B*39-DRB1*07  Brazil South East Cord Blood 0.013011,409
 1,605  A*02-B*39-DRB1*07  Brazil Para State 0.03155,000
 1,606  A*02-B*39-DRB1*07  Russia Moscow Pop 2 0.18002,000
 1,607  A*02-B*39-DRB1*07:01  Chile Santiago 0.1065920
 1,608  A*02-B*39-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1560641
 1,609  A*02-B*39-DRB1*07:25  Chile Santiago 0.0311920
 1,610  A*02-B*39-DRB1*07:26N  Chile Santiago 0.0311920
 1,611  A*02-B*39-DRB1*07-DQB1*02  Mexico Oaxaca Rural 0.1027485
 1,612  A*02-B*39-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 1,613  A*02-B*39-DRB1*07-DQB1*02  Mexico Oaxaca, Oaxaca city 0.3311151
 1,614  A*02-B*39-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 1,615  A*02-B*39-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 1,616  A*02-B*39-DRB1*08  Brazil South East Cord Blood 0.224011,409
 1,617  A*02-B*39-DRB1*08  Brazil South Ribeirao Preto 0.5000184
 1,618  A*02-B*39-DRB1*08  Brazil Para State 0.55175,000
 1,619  A*02-B*39-DRB1*08  Brazil Para Cord Blood Unit 1.2140841
 1,620  A*02-B*39-DRB1*08  China Shaanxi Province Han 0.100010,000
 1,621  A*02-B*39-DRB1*08  Germany pop 7 0.200013,386
 1,622  A*02-B*39-DRB1*08  Iran pop 4 0.0700855
 1,623  A*02-B*39-DRB1*08  Italy Lombardy 0.1000674
 1,624  A*02-B*39-DRB1*08  Russia Moscow Pop 2 0.04002,000
 1,625  A*02-B*39-DRB1*08:01  Chile Santiago 0.0272920
 1,626  A*02-B*39-DRB1*08:01  USA NMDP Caucasian 0.10002,361,208
 1,627  A*02-B*39-DRB1*08:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 1,628  A*02-B*39-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.3120641
 1,629  A*02-B*39-DRB1*08:02  Chile Santiago 1.1772920
 1,630  A*02-B*39-DRB1*08:02  USA NMDP Hispanic 0.3000449,844
 1,631  A*02-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 1,632  A*02-B*39-DRB1*08:02-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 1,633  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.860069
 1,634  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 3.426087
 1,635  A*02-B*39-DRB1*08:39  Chile Santiago 0.0272920
 1,636  A*02-B*39-DRB1*08:42  Chile Santiago 0.1442920
 1,637  A*02-B*39-DRB1*08-DQB1*03:01  Mexico Durango Rural 0.1529326
 1,638  A*02-B*39-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.63941,173
 1,639  A*02-B*39-DRB1*08-DQB1*04  Ecuador Coast Mixed Ancestry 0.4202238
 1,640  A*02-B*39-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.7888824
 1,641  A*02-B*39-DRB1*08-DQB1*04  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 1,642  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.50251,189
 1,643  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 1,644  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 1,645  A*02-B*39-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 2.381084
 1,646  A*02-B*39-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.4762103
 1,647  A*02-B*39-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.8750396
 1,648  A*02-B*39-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 0.505199
 1,649  A*02-B*39-DRB1*08-DQB1*04  Mexico Sinaloa, Culiacán 0.4854103
 1,650  A*02-B*39-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 1,651  A*02-B*39-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 3.846278
 1,652  A*02-B*39-DRB1*08-DQB1*04  Mexico Michoacan, Morelia 0.3311150
 1,653  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 1,654  A*02-B*39-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 1,655  A*02-B*39-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 1.9868151
 1,656  A*02-B*39-DRB1*08-DQB1*04  Mexico Guerrero state 0.6944144
 1,657  A*02-B*39-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.82671,994
 1,658  A*02-B*39-DRB1*08-DQB1*04  Mexico Mexico City North 0.7968751
 1,659  A*02-B*39-DRB1*08-DQB1*04  Mexico Mexico City East 0.625079
 1,660  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 1.1628171
 1,661  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 1.6043187
 1,662  A*02-B*39-DRB1*08-DQB1*04  Mexico Mexico City Center 0.3247152
 1,663  A*02-B*39-DRB1*08-DQB1*04  Mexico Durango Rural 0.1529326
 1,664  A*02-B*39-DRB1*08-DQB1*04  Mexico Sinaloa Rural 0.2732183
 1,665  A*02-B*39-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.1468216
 1,666  A*02-B*39-DRB1*08-DQB1*04  Mexico Nayarit Rural 0.781264
 1,667  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.1706585
 1,668  A*02-B*39-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.1859266
 1,669  A*02-B*39-DRB1*08-DQB1*04  Mexico Baja California Rural 4.000050
 1,670  A*02-B*39-DRB1*08-DQB1*04  Mexico Sonora Rural 0.5076197
 1,671  A*02-B*39-DRB1*08-DQB1*04  Mexico Sonora, Ciudad Obregón 0.3497143
 1,672  A*02-B*39-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.8596348
 1,673  A*02-B*39-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.6135162
 1,674  A*02-B*39-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 0.6818439
 1,675  A*02-B*39-DRB1*08-DQB1*04  Mexico Tamaulipas Rural 0.7937125
 1,676  A*02-B*39-DRB1*08-DQB1*04  Mexico Hidalgo Rural 0.617381
 1,677  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.2773539
 1,678  A*02-B*39-DRB1*08-DQB1*04  Mexico Chiapas Rural 1.2397121
 1,679  A*02-B*39-DRB1*08-DQB1*04  Mexico Oaxaca Rural 1.5400485
 1,680  A*02-B*39-DRB1*08-DQB1*04  Mexico Puebla Rural 1.0192833
 1,681  A*02-B*39-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 1.0241830
 1,682  A*02-B*39-DRB1*08-DQB1*04  Mexico Baja California, Tijuana 4.000025
 1,683  A*02-B*39-DRB1*08-DQB1*06  Mexico Tlaxcala Rural 0.0602830
 1,684  A*02-B*39-DRB1*08-DQB1*06  Mexico Tabasco Rural 0.3521142
 1,685  A*02-B*39-DRB1*09  Brazil South East Cord Blood 0.026011,409
 1,686  A*02-B*39-DRB1*09  Brazil Para State 0.09255,000
 1,687  A*02-B*39-DRB1*09:01  Chile Santiago 0.0669920
 1,688  A*02-B*39-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 3.000083
 1,689  A*02-B*39-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 3.448087
 1,690  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.4854824
 1,691  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 1.282139
 1,692  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.42631,173
 1,693  A*02-B*39-DRB1*10  Brazil Para Cord Blood Unit 0.0611841
 1,694  A*02-B*39-DRB1*11  Brazil Para State 0.04555,000
 1,695  A*02-B*39-DRB1*11  Brazil South East Cord Blood 0.045011,409
 1,696  A*02-B*39-DRB1*11  Italy Lombardy 0.6200674
 1,697  A*02-B*39-DRB1*11:02  Colombia Barranquilla 0.5300188
 1,698  A*02-B*39-DRB1*11:04  Chile Santiago 0.0820920
 1,699  A*02-B*39-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 1,700  A*02-B*39-DRB1*11:128  Chile Santiago 0.0272920

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 1,601 to 1,700 (from 6,198) records   Pages: 11 12 13 14 15 16 17 18 19 20 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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