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denovo-db: a compendium of human de novo variants

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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210614/
https://www.ncbi.nlm.nih.gov/pubmed/27907889
http://dx.doi.org/10.1093/nar/gkw865
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author 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.
author_facet 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.
author_sort Turner, Tychele N.
collection PubMed
description 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.
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spelling pubmed-52106142017-01-05 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. Nucleic Acids Res Database Issue 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. Oxford University Press 2017-01-04 2016-10-05 /pmc/articles/PMC5210614/ /pubmed/27907889 http://dx.doi.org/10.1093/nar/gkw865 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
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.
denovo-db: a compendium of human de novo variants
title denovo-db: a compendium of human de novo variants
title_full denovo-db: a compendium of human de novo variants
title_fullStr denovo-db: a compendium of human de novo variants
title_full_unstemmed denovo-db: a compendium of human de novo variants
title_short denovo-db: a compendium of human de novo variants
title_sort denovo-db: a compendium of human de novo variants
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210614/
https://www.ncbi.nlm.nih.gov/pubmed/27907889
http://dx.doi.org/10.1093/nar/gkw865
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