title: Bioinformatics for personal genome interpretation.
abstract: An international consortium released the first draft sequence of the human genome 10 years ago. Although the analysis of this data has suggested the genetic underpinnings of many diseases, we have not yet been able to fully quantify the relationship between genotype and phenotype. Thus, a major current effort of the scientific community focuses on evaluating individual predispositions to specific phenotypic traits given their genetic backgrounds. Many resources aim to identify and annotate the specific genes responsible for the observed phenotypes. Some of these use intra-species genetic variability as a means for better understanding this relationship. In addition, several online resources are now dedicated to collecting single nucleotide variants and other types of variants, and annotating their functional effects and associations with phenotypic traits. This information has enabled researchers to develop bioinformatics tools to analyze the rapidly increasing amount of newly extracted variation data and to predict the effect of uncharacterized variants. In this work, we review the most important developments in the field--the databases and bioinformatics tools that will be of utmost importance in our concerted effort to interpret the human variome.
authors.affiliation: Department of Mathematics and Computer Science, University of Balearic Islands, ctra. de Valldemossa Km 7.5, Palma de Mallorca, 07122 Spain. emidio.capriotti@uib.es
authors.forename: Emidio
authors.initials: E
authors.lastname: Capriotti
authors.forename: Nathan L
authors.initials: NL
authors.lastname: Nehrt
authors.forename: Maricel G
authors.initials: MG
authors.lastname: Kann
authors.forename: Yana
authors.initials: Y
authors.lastname: Bromberg
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D014644:Genetic Variation; D016678:Genome; D005838:Genotype; D016045:Human Genome Project; D006801:Humans; D010641:Phenotype