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dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.
Liu, Xiaoming; Jian, Xueqiu; Boerwinkle, Eric.
Afiliación
  • Liu X; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA. Xiaoming.Liu@uth.tmc.edu
Hum Mutat ; 34(9): E2393-402, 2013 Sep.
Article en En | MEDLINE | ID: mdl-23843252
dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. This database significantly facilitates the process of querying predictions and annotations from different databases/web-servers for large amounts of nsSNVs discovered in exome-sequencing studies. Here we report a recent major update of the database to version 2.0. We have rebuilt the SNV collection based on GENCODE 9 and currently the database includes 87,347,043 nsSNVs and 2,270,742 essential splice site SNVs (an 18% increase compared to dbNSFP v1.0). For each nsSNV dbNSFP v2.0 has added two prediction scores (MutationAssessor and FATHMM) and two conservation scores (GERP++ and SiPhy). The original five prediction and conservation scores in v1.0 (SIFT, Polyphen2, LRT, MutationTaster and PhyloP) have been updated. Rich functional annotations for SNVs and genes have also been added into the new version, including allele frequencies observed in the 1000 Genomes Project phase 1 data and the NHLBI Exome Sequencing Project, various gene IDs from different databases, functional descriptions of genes, gene expression and gene interaction information, among others. dbNSFP v2.0 is freely available for download at http://sites.google.com/site/jpopgen/dbNSFP.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genoma Humano / Biología Computacional / Polimorfismo de Nucleótido Simple / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genoma Humano / Biología Computacional / Polimorfismo de Nucleótido Simple / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos