title: A database for curating the associations between killer cell immunoglobulin-like receptors and diseases in worldwide populations.
abstract: The killer cell immunoglobulin-like receptors (KIR) play a fundamental role in the innate immune system, through their interactions with human leucocyte antigen (HLA) molecules, leading to the modulation of activity in natural killer (NK) cells, mainly related to killing pathogen-infected cells. KIR genes are hugely polymorphic both in the number of genes an individual carries and in the number of alleles identified. We have previously developed the Allele Frequency Net Database (AFND, http://www.allelefrequencies.net), which captures worldwide frequencies of alleles, genes and haplotypes for several immune genes, including KIR genes, in healthy populations, covering >4 million individuals. Here, we report the creation of a new database within AFND, named KIR and Diseases Database (KDDB), capturing a large quantity of data derived from publications in which KIR genes, alleles, genotypes and/or haplotypes have been associated with infectious diseases (e.g. hepatitis C, HIV, malaria), autoimmune disorders (e.g. type I diabetes, rheumatoid arthritis), cancer and pregnancy-related complications. KDDB has been created through an extensive manual curation effort, extracting data on more than a thousand KIR-disease records, comprising >50 000 individuals. KDDB thus provides a new community resource for understanding not only how KIR genes are associated with disease, but also, by working in tandem with the large data sets already present in AFND, where particular genes, genotypes or haplotypes are present in worldwide populations or different ethnic groups. We anticipate that KDDB will be an important resource for researchers working in immunogenetics. Database URL: http://www.allelefrequencies.net/diseases/.
authors.affiliation: Institute of Integrative Biology, Functional and Comparative Genomics, University of Liverpool, Liverpool, L69 7ZB, UK. L.Takeshita@liverpool.ac.uk
authors.forename: Louise Y C
authors.initials: LY
authors.lastname: Takeshita
authors.forename: Faviel F
authors.initials: FF
authors.lastname: Gonzalez-Galarza
authors.forename: Eduardo J M
authors.initials: EJ
authors.lastname: dos Santos
authors.forename: Maria Helena T
authors.initials: MH
authors.lastname: Maia
authors.forename: Mushome M
authors.initials: MM
authors.lastname: Rahman
authors.forename: Syed M S
authors.initials: SM
authors.lastname: Zain
authors.forename: Derek
authors.initials: D
authors.lastname: Middleton
authors.forename: Andrew R
authors.initials: AR
authors.lastname: Jones
mesh_terms: D057225:Data Mining; D030541:Databases, Genetic; D004194:Disease / Q000235:genetics*; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D005828:Genetics, Population; D006801:Humans; D038622:Internationality; D020407:Internet; D054340:Receptors, KIR / Q000235:genetics*; D057386:Search Engine
chemical_list: D054340:Receptors, KIR