HLA > Allele Frequency Search > Classical

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies that match your criteria. Remember at least one option must be selected.
Locus:  Starting Allele:  Ending Allele:  > (Type your allele e.g. A*01:01, etc. or leave both empty to include all alleles)
Select specific alleles (If you want to pick specific alleles, make sure your alleles are within the Start-End range above)
Clear
Select specific populations
Clear
Population:      Country:      Source of dataset: 
Region:  Ethnic Origin:     Type of Study:  Sort by: 
Sample Size:      Sample Year:      Level of resolution :   (Click here for further details)
Population standard: Gold only Gold and Silver All Show frequencies: All Only positives Only negatives
Displaying 601 to 700 (from 785) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Allele Population % of individuals
that have the allele		 Allele
Frequency
(in_decimals)		 Sample
Size		 IMGT/HLA¹
Database		 Distribution² Haplotype³
Association		 Notesª
 601   A*02:01  Israel YemenJews  0.027115,542See
 602   A*02:01  Italy Bergamo 46.5 0.2800101See
 603   A*02:01  Italy North Pavia  0.006081See
 604   A*02:01  Italy North pop 3 53.8 0.289097See
 605   A*02:01  Italy pop 5  0.2410975See
 606   A*02:01  Japan Central  0.1150371See
 607   A*02:01  Japan Hokkaido Ainu  0.200050See
 608   A*02:01  Japan pop 16  0.116218,604See
 609   A*02:01  Japan pop 3  0.11601,018See
 610   A*02:01  Japan pop 5  0.1060117See
 611   A*02:01  Jordan Amman  0.1340146See
 612   A*02:01  Kenya Luo  0.1150265See
 613   A*02:01  Kenya Nandi  0.1180240See
 614   A*02:01  Kenya, Nyanza Province, Luo tribe 27.0 0.1450100See
 615   A*02:01  Kosovo 52.4 0.3186124See
 616   A*02:01  Malaysia Champa 6.9 0.034029See
 617   A*02:01  Malaysia Jelebu Temuan  0.146025See
 618   A*02:01  Malaysia Kedah Baling Kensiu  0.200025See
 619   A*02:01  Malaysia Kedah Kensiu 57.0 0.405021See
 620   A*02:01  Malaysia Kelantan 3.6 0.018028See
 621   A*02:01  Malaysia Mandailing 55.6 0.296027See
 622   A*02:01  Malaysia Pahang Semai 10.5 0.066038See
 623   A*02:01  Malaysia Patani 16.0 0.100025See
 624   A*02:01  Malaysia Peninsular Chinese 25.3 0.1418194See
 625   A*02:01  Malaysia Peninsular Indian 11.4 0.0627271See
 626   A*02:01  Malaysia Peninsular Malay 11.6 0.0610951See
 627   A*02:01  Malaysia Perak Grik Jehai  0.140025See
 628   A*02:01  Malaysia Sarawak Bau Bidayuh  0.020025See
 629   A*02:01  Mali Bandiagara  0.0830138See
 630   A*02:01  Mexico Chiapas Lacandon Mayans  0.0940218See
 631   A*02:01  Mexico Chichen Itza Maya (prehispanic)  0.074547See
 632   A*02:01  Mexico Chihuahua Chihuahua City Pop 2 46.6 0.272788See
 633   A*02:01  Mexico Mestizo 56.1 0.341041See
 634   A*02:01  Mexico Mexico City Mestizo pop 2  0.2286234See
 635   A*02:01  Mexico Mexico City Mestizo population  0.2028143See
 636   A*02:01  Mexico Mexico City Tlalpan 44.5 0.2591330See
 637   A*02:01  Mexico Mixtec  0.253097See
 638   A*02:01  Mexico Oaxaca Jamiltepec Mixtec  0.255096See
 639   A*02:01  Mexico Oaxaca Mixe  0.311055See
 640   A*02:01  Mexico Oaxaca Mixtec  0.2840103See
 641   A*02:01  Mexico Oaxaca Zapotec  0.284090See
 642   A*02:01  Mexico Sonora Seri  0.545034See
 643   A*02:01  Mexico Tixcacaltuyub Maya  0.029967See
 644   A*02:01  Mexico Veracruz Xalapa 47.6 0.273884See
 645   A*02:01  Netherlands Leiden  0.29201,305See
 646   A*02:01  Netherlands UMCU 45.3 0.281264See
 647   A*02:01  New Caledonia  0.024065See
 648   A*02:01  New Zealand Maori with Admixed History 16.2 0.0810105See
 649   A*02:01  New Zealand Maori with Full Ancestry 6.5 0.033046See
 650   A*02:01  New Zealand Polynesians with Admixed History 22.2 0.111027See
 651   A*02:01  New Zealand Polynesians with Full Ancestry 19.0 0.095021See
 652   A*02:01  Nicaragua Managua 32.0 0.1766339See
 653   A*02:01  Oman 39.8 0.2160118See
 654   A*02:01  Pakistan Baloch  0.095066See
 655   A*02:01  Pakistan Brahui  0.1150104See
 656   A*02:01  Pakistan Burusho  0.054092See
 657   A*02:01  Pakistan Kalash  0.158069See
 658   A*02:01  Pakistan Karachi Parsi  0.028091See
 659   A*02:01  Pakistan Mixed Pathan  0.0820100See
 660   A*02:01  Pakistan Mixed Sindhi  0.0700101See
 661   A*02:01  Panama  0.1493462See
 662   A*02:01  Papua New Guinea East New Britain Rabaul  060See
 663   A*02:01  Papua New Guinea Eastern Highlands Goroka Asaro  057See
 664   A*02:01  Papua New Guinea Karimui Plateau Pawaia  080See
 665   A*02:01  Papua New Guinea Madang  065See
 666   A*02:01  Papua New Guinea Wanigela Keapara  0.021066See
 667   A*02:01  Papua New Guinea West Schrader Ranges Haruai  055See
 668   A*02:01  Papua New Guinea Wosera Abelam  0131See
 669   A*02:01  Peru Titikaka Lake Uro  0.5000105See
 670   A*02:01  Peru Titikaka Lake Uros  0.5000105See
 671   A*02:01  Philippines Ivatan 48.0 0.300050See
 672   A*02:01  Poland  0.1930200See
 673   A*02:01  Poland DKMS  0.284920,653See
 674   A*02:01  Portugal Azores Terceira Island 42.1 0.2325130See
 675   A*02:01  Portugal Center  0.260050See
 676   A*02:01  Portugal North  0.293046See
 677   A*02:01  Portugal South  0.235049See
 678   A*02:01  Romania 43.7 0.2500348See
 679   A*02:01  Russia Belgorod region 0.7 0.0033153See
 680   A*02:01  Russia Bering Island Aleuts  0.2260104See
 681   A*02:01  Russia Karelia  0.29631,075See
 682   A*02:01  Russia Tuva pop 2  0.1430169See
 683   A*02:01  Sao Tome Island Angolar  0.063032See
 684   A*02:01  Sao Tome Island Forro  0.128066See
 685   A*02:01  Saudi Arabia Guraiat and Hail 33.3 0.1900213See
 686   A*02:01  Senegal Niokholo Mandenka  0.0810165See
 687   A*02:01  Singapore Chinese 19.5 0.1040149See
 688   A*02:01  Singapore Chinese Han  0.076094See
 689   A*02:01  Singapore Javaneses  0.040051See
 690   A*02:01  Singapore Riau Malay  0.0650132See
 691   A*02:01  Singapore SGVP Chinese CHS  0.109096See
 692   A*02:01  Singapore SGVP Malay MAS  0.119089See
 693   A*02:01  Singapore SGVP. Indian INS  0.075086See
 694   A*02:01  Singapore Thai  0.0310100See
 695   A*02:01  South Africa Natal Tamil  0.010051See
 696   A*02:01  South Africa Natal Zulu 5.0 0.0250100See
 697   A*02:01  South Africa Worcester 14.0 0.0750159See
 698   A*02:01  South Korea pop 10  0.15484,128See
 699   A*02:01  South Korea pop 3  0.1650485See
 700   A*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 41.7 0.23684,335See

Notes:

* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
   Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
   AF = 1-square_root(1-PF)
   PF = 1-(1-AF)2
   AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding G group.

¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.


Displaying 601 to 700 (from 785) records   Pages: 1 2 3 4 5 6 7 8 of 8  





   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional