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 9,501 to 9,600 (from 10,687) records   Pages: 91 92 93 94 95 96 97 98 99 100 of 107  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 9,501  A*68-B*44-C*07-DRB1*14-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 9,502  A*68-B*44-C*07-DRB1*15-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 9,503  A*68-B*44-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 9,504  A*68-B*44-C*12-DRB1*07-DQB1*03  Albania pop 2 0.3400432
 9,505  A*68-B*44-C*16-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.03004,510
 9,506  A*68-B*44-C*16-DRB1*11  Macedonia MBMDR - Macedonian 0.15591,283
 9,507  A*68-B*44-C*16-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03291,743
 9,508  A*68-B*44-C*16-DRB1*15  Macedonia MBMDR - Macedonian 0.03901,283
 9,509  A*68-B*44-C*16-DRB1*15-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 9,510  A*68-B*44-DRB1*01  Brazil South East Cord Blood 0.040011,409
 9,511  A*68-B*44-DRB1*01  Brazil Para State 0.07365,000
 9,512  A*68-B*44-DRB1*01  Russia Moscow Pop 2 0.04002,000
 9,513  A*68-B*44-DRB1*01:01  USA NMDP Caucasian 0.10002,361,208
 9,514  A*68-B*44-DRB1*01:03-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 9,515  A*68-B*44-DRB1*01:17  Chile Santiago 0.0091920
 9,516  A*68-B*44-DRB1*01:36  Chile Santiago 0.0091920
 9,517  A*68-B*44-DRB1*01:38  Chile Santiago 0.0091920
 9,518  A*68-B*44-DRB1*01:41  Chile Santiago 0.0091920
 9,519  A*68-B*44-DRB1*01:45  Chile Santiago 0.0091920
 9,520  A*68-B*44-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 9,521  A*68-B*44-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 9,522  A*68-B*44-DRB1*01-DQB1*05  Mexico Baja California, La Paz 0.666775
 9,523  A*68-B*44-DRB1*01-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 9,524  A*68-B*44-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.0602830
 9,525  A*68-B*44-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 9,526  A*68-B*44-DRB1*03  Brazil South East Cord Blood 0.021011,409
 9,527  A*68-B*44-DRB1*03  Brazil Para State 0.00155,000
 9,528  A*68-B*44-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 9,529  A*68-B*44-DRB1*04  Brazil Para State 0.04355,000
 9,530  A*68-B*44-DRB1*04  Iran pop 4 0.1401855
 9,531  A*68-B*44-DRB1*04:01  Chile Santiago 0.1440920
 9,532  A*68-B*44-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 9,533  A*68-B*44-DRB1*04:07  Chile Santiago 0.0297920
 9,534  A*68-B*44-DRB1*04:92  Chile Santiago 0.0243920
 9,535  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 9,536  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.3497143
 9,537  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 9,538  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.4762103
 9,539  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 9,540  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 9,541  A*68-B*44-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 9,542  A*68-B*44-DRB1*04-DQB1*06  Iraq Arabs 0.3400149
 9,543  A*68-B*44-DRB1*07  Brazil Para State 0.04465,000
 9,544  A*68-B*44-DRB1*07  Brazil Para Cord Blood Unit 0.1189841
 9,545  A*68-B*44-DRB1*07  Brazil South East Cord Blood 0.043011,409
 9,546  A*68-B*44-DRB1*07  China Shaanxi Province Han 0.100010,000
 9,547  A*68-B*44-DRB1*07  Iran pop 4 0.4902855
 9,548  A*68-B*44-DRB1*07  Russia Moscow Pop 2 0.04002,000
 9,549  A*68-B*44-DRB1*07:01  Chile Santiago 0.0478920
 9,550  A*68-B*44-DRB1*07-DQB1*02  Ecuador Amazonia Mixed Ancestry 1.282139
 9,551  A*68-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 9,552  A*68-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.1706585
 9,553  A*68-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.2212226
 9,554  A*68-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 9,555  A*68-B*44-DRB1*07-DQB1*02  Mexico Sonora Rural 0.5076197
 9,556  A*68-B*44-DRB1*07-DQB1*02  Mexico Baja California Rural 1.000050
 9,557  A*68-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 9,558  A*68-B*44-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 9,559  A*68-B*44-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 9,560  A*68-B*44-DRB1*07-DQB1*03:03  Mexico Puebla, Puebla city 0.02511,994
 9,561  A*68-B*44-DRB1*08  Albania pop 2 0.1200432
 9,562  A*68-B*44-DRB1*08:01  Colombia Barranquilla 0.2700188
 9,563  A*68-B*44-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 9,564  A*68-B*44-DRB1*09  Brazil South East Cord Blood 0.007011,409
 9,565  A*68-B*44-DRB1*11  Brazil South East Cord Blood 0.125011,409
 9,566  A*68-B*44-DRB1*11  Brazil Para State 0.02845,000
 9,567  A*68-B*44-DRB1*11  Brazil South Ribeirao Preto 0.3000184
 9,568  A*68-B*44-DRB1*11  Germany pop 7 2.200013,386
 9,569  A*68-B*44-DRB1*11  Italy Lombardy 0.4400674
 9,570  A*68-B*44-DRB1*11  Russia Moscow Pop 2 0.52002,000
 9,571  A*68-B*44-DRB1*11:01  USA NMDP Caucasian 0.20002,361,208
 9,572  A*68-B*44-DRB1*11:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 9,573  A*68-B*44-DRB1*11:04  Chile Santiago 0.0543920
 9,574  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 9,575  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Coahuila Rural 0.2294216
 9,576  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.3058326
 9,577  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.16751,189
 9,578  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 9,579  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.05011,994
 9,580  A*68-B*44-DRB1*11-DQB1*03:01  Mexico Mexico City North 0.1328751
 9,581  A*68-B*44-DRB1*12-DQB1*03:01  Mexico Durango Rural 0.1529326
 9,582  A*68-B*44-DRB1*13  Brazil South East Cord Blood 0.105011,409
 9,583  A*68-B*44-DRB1*13  Brazil Para State 0.00235,000
 9,584  A*68-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 9,585  A*68-B*44-DRB1*13:148  Chile Santiago 0.0078920
 9,586  A*68-B*44-DRB1*13:153  Chile Santiago 0.0078920
 9,587  A*68-B*44-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 9,588  A*68-B*44-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 9,589  A*68-B*44-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 9,590  A*68-B*44-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 9,591  A*68-B*44-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 9,592  A*68-B*44-DRB1*13-DQB1*06  Mexico Guerrero state 0.3472144
 9,593  A*68-B*44-DRB1*13-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 9,594  A*68-B*44-DRB1*14  Italy Lombardy 0.1500674
 9,595  A*68-B*44-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 9,596  A*68-B*44-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 9,597  A*68-B*44-DRB1*14-DQB1*05  Mexico Tlaxcala Rural 0.1205830
 9,598  A*68-B*44-DRB1*15  Brazil South East Cord Blood 0.071011,409
 9,599  A*68-B*44-DRB1*15  Brazil Para State 0.02415,000
 9,600  A*68-B*44-DRB1*15  Brazil Para Cord Blood Unit 0.0595841

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 9,501 to 9,600 (from 10,687) records   Pages: 91 92 93 94 95 96 97 98 99 100 of 107  


   

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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