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denovo-db: a compendium of human de novo variants.
Turner, Tychele N; Yi, Qian; Krumm, Niklas; Huddleston, John; Hoekzema, Kendra; F Stessman, Holly A; Doebley, Anna-Lisa; Bernier, Raphael A; Nickerson, Deborah A; Eichler, Evan E.
Afiliación
  • Turner TN; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA tychele@u.washington.edu.
  • Yi Q; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Krumm N; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Huddleston J; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Hoekzema K; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
  • F Stessman HA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Doebley AL; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Bernier RA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
  • Nickerson DA; Medical Scientist Training Program, Department of Pathology, University ofWashington, Seattle, WA 98105, USA.
  • Eichler EE; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98105, USA.
Nucleic Acids Res ; 45(D1): D804-D811, 2017 01 04.
Article en En | MEDLINE | ID: mdl-27907889
ABSTRACT
Whole-exome and whole-genome sequencing have facilitated the large-scale discovery of de novo variants in human disease. To date, most de novo discovery through next-generation sequencing focused on congenital heart disease and neurodevelopmental disorders (NDDs). Currently, de novo variants are one of the most significant risk factors for NDDs with a substantial overlap of genes involved in more than one NDD. To facilitate better usage of published data, provide standardization of annotation, and improve accessibility, we created denovo-db (http//denovo-db.gs.washington.edu), a database for human de novo variants. As of July 2016, denovo-db contained 40 different studies and 32,991 de novo variants from 23,098 trios. Database features include basic variant information (chromosome location, change, type); detailed annotation at the transcript and protein levels; severity scores; frequency; validation status; and, most importantly, the phenotype of the individual with the variant. We included a feature on our browsable website to download any query result, including a downloadable file of the full database with additional variant details. denovo-db provides necessary information for researchers to compare their data to other individuals with the same phenotype and also to controls allowing for a better understanding of the biology of de novo variants and their contribution to disease.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Mutación de Línea Germinal / 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: Nucleic Acids Res Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Mutación de Línea Germinal / 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: Nucleic Acids Res Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos