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 6,601 to 6,700 (from 7,209) records   Pages: 61 62 63 64 65 66 67 68 69 70 of 73  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 6,601  A*30-B*42-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 6,602  A*30-B*42-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 6,603  A*30-B*42-DRB1*03:01-DQB1*02  Mexico Oaxaca Rural 0.3080485
 6,604  A*30-B*42-DRB1*03:02  Chile Santiago 0.0543920
 6,605  A*30-B*42-DRB1*03:02  USA NMDP African American 1.4000412,861
 6,606  A*30-B*42-DRB1*03:02  USA NMDP Hispanic 0.2000449,844
 6,607  A*30-B*42-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 6,608  A*30-B*42-DRB1*03:02-DQB1*02  Mexico Veracruz, Coatzacoalcos 0.892955
 6,609  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Jalisco, Guadalajara city 0.29311,189
 6,610  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Zacatecas, Zacatecas city 0.595284
 6,611  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Coahuila, Torreon 0.2500396
 6,612  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 6,613  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Durango, Durango city 0.3226153
 6,614  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Veracruz, Veracruz city 0.2907171
 6,615  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Quintana Roo, Cancun 1.041748
 6,616  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Puebla, Puebla city 0.07521,994
 6,617  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Zacatecas Rural 0.5576266
 6,618  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Nayarit Rural 0.781264
 6,619  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Jalisco Rural 0.1706585
 6,620  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Puebla Rural 0.0600833
 6,621  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Chihuahua Rural 0.4184236
 6,622  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Sonora Rural 0.5076197
 6,623  A*30-B*42-DRB1*03:02-DQB1*04  Mexico Tlaxcala Rural 0.3614830
 6,624  A*30-B*42-DRB1*03-DQB1*05  Iraq Arabs 0.3400149
 6,625  A*30-B*42-DRB1*04  Brazil South East Cord Blood 0.015011,409
 6,626  A*30-B*42-DRB1*04  Brazil Para Cord Blood Unit 0.0595841
 6,627  A*30-B*42-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.3968125
 6,628  A*30-B*42-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.2500396
 6,629  A*30-B*42-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.1027485
 6,630  A*30-B*42-DRB1*07  Brazil South East Cord Blood 0.008011,409
 6,631  A*30-B*42-DRB1*07  Brazil Para Cord Blood Unit 0.2378841
 6,632  A*30-B*42-DRB1*07  Brazil Para State 0.06125,000
 6,633  A*30-B*42-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 6,634  A*30-B*42-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 6,635  A*30-B*42-DRB1*07-DQB1*02  Mexico Mexico City North 0.0664751
 6,636  A*30-B*42-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 6,637  A*30-B*42-DRB1*07-DQB1*03:03  Mexico Coahuila Rural 0.2294216
 6,638  A*30-B*42-DRB1*08  Brazil South Ribeirao Preto 0.5000184
 6,639  A*30-B*42-DRB1*08  Brazil South East Cord Blood 0.152011,409
 6,640  A*30-B*42-DRB1*08  Brazil Para State 0.11085,000
 6,641  A*30-B*42-DRB1*08:04  USA NMDP African American 0.5000412,861
 6,642  A*30-B*42-DRB1*08:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 6,643  A*30-B*42-DRB1*08-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 6,644  A*30-B*42-DRB1*08-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 6,645  A*30-B*42-DRB1*08-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 6,646  A*30-B*42-DRB1*08-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 6,647  A*30-B*42-DRB1*08-DQB1*03:01  Mexico Veracruz, Cordoba 1.785756
 6,648  A*30-B*42-DRB1*09  Brazil South East Cord Blood 0.006011,409
 6,649  A*30-B*42-DRB1*09  Brazil Para State 0.02005,000
 6,650  A*30-B*42-DRB1*10  Brazil South East Cord Blood 0.020011,409
 6,651  A*30-B*42-DRB1*10  Brazil Para State 0.01445,000
 6,652  A*30-B*42-DRB1*10  Brazil Para Cord Blood Unit 0.0595841
 6,653  A*30-B*42-DRB1*10-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 6,654  A*30-B*42-DRB1*10-DQB1*05  Ecuador Amazonia Mixed Ancestry 1.282139
 6,655  A*30-B*42-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 6,656  A*30-B*42-DRB1*11  Brazil South Ribeirao Preto 0.5000184
 6,657  A*30-B*42-DRB1*11  Brazil South East Cord Blood 0.056011,409
 6,658  A*30-B*42-DRB1*11  Brazil Para Cord Blood Unit 0.1266841
 6,659  A*30-B*42-DRB1*11  Brazil Para State 0.05805,000
 6,660  A*30-B*42-DRB1*11:01  USA NMDP African American 0.1000412,861
 6,661  A*30-B*42-DRB1*11:02  USA NMDP African American 0.2000412,861
 6,662  A*30-B*42-DRB1*11-DQB1*03:01  Mexico Guanajuato, Guanajuato city 2.272722
 6,663  A*30-B*42-DRB1*11-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 6,664  A*30-B*42-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 6,665  A*30-B*42-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 6,666  A*30-B*42-DRB1*11-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.4630106
 6,667  A*30-B*42-DRB1*12  Brazil South Ribeirao Preto 0.3000184
 6,668  A*30-B*42-DRB1*12  Brazil South East Cord Blood 0.128011,409
 6,669  A*30-B*42-DRB1*12  Brazil Para State 0.06255,000
 6,670  A*30-B*42-DRB1*12  Brazil Para Cord Blood Unit 0.2378841
 6,671  A*30-B*42-DRB1*12:01  USA NMDP African American 0.1000412,861
 6,672  A*30-B*42-DRB1*12-DQB1*05  Mexico Coahuila, Torreon 0.2500396
 6,673  A*30-B*42-DRB1*12-DQB1*05  Mexico Veracruz Rural 0.0924539
 6,674  A*30-B*42-DRB1*12-DQB1*05  Mexico Sinaloa Rural 0.2732183
 6,675  A*30-B*42-DRB1*12-DQB1*05  Mexico Tabasco Rural 0.3521142
 6,676  A*30-B*42-DRB1*13  Brazil South East Cord Blood 0.085011,409
 6,677  A*30-B*42-DRB1*13  Brazil Para State 0.02415,000
 6,678  A*30-B*42-DRB1*13:01  Chile Santiago 0.0091920
 6,679  A*30-B*42-DRB1*13:105  Chile Santiago 0.0091920
 6,680  A*30-B*42-DRB1*13:112  Chile Santiago 0.0091920
 6,681  A*30-B*42-DRB1*13:117  Chile Santiago 0.0091920
 6,682  A*30-B*42-DRB1*13:125  Chile Santiago 0.0091920
 6,683  A*30-B*42-DRB1*13:130  Chile Santiago 0.0091920
 6,684  A*30-B*42-DRB1*13-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 6,685  A*30-B*42-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 6,686  A*30-B*42-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 1.785755
 6,687  A*30-B*42-DRB1*15  Brazil South Ribeirao Preto 0.5000184
 6,688  A*30-B*42-DRB1*15  Brazil South East Cord Blood 0.066011,409
 6,689  A*30-B*42-DRB1*15  Brazil Para State 0.01195,000
 6,690  A*30-B*42-DRB1*15  Brazil Para Cord Blood Unit 0.1189841
 6,691  A*30-B*42-DRB1*15:03  USA NMDP African American 0.2000412,861
 6,692  A*30-B*42-DRB1*15-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 6,693  A*30-B*42-DRB1*15-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.4630106
 6,694  A*30-B*42-DRB1*16  Brazil South East Cord Blood 0.007011,409
 6,695  A*30-B*44  Macedonia 0.1748286
 6,696  A*30-B*44  Morocco pop 2 1.3600110
 6,697  A*30-B*44-C*02-DRB1*01  Macedonia MBMDR - Macedonian 0.11691,283
 6,698  A*30-B*44-C*03-DRB1*11-DQB1*03-DPB1*19  Norway ethnic Norwegians 0.01004,510
 6,699  A*30-B*44-C*04  Italy East Sicily 1.000050
 6,700  A*30-B*44-C*04-DRB1*07  Macedonia MBMDR - Albanian 0.7812128

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 6,601 to 6,700 (from 7,209) records   Pages: 61 62 63 64 65 66 67 68 69 70 of 73  


   

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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