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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5210614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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