Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

denovo-db

General information

URL: http://denovo-db.gs.washington.edu
Full name:
Description: a database for human de novo variants
Year founded: 2017
Last update: 2017-01-01
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Washington
Address: Department of Genome Sciences
City: Seattle
Province/State: WA
Country/Region: United States
Contact name (PI/Team): Tychele N. Turner
Contact email (PI/Helpdesk): tychele@u.washington.edu

Publications

27907889
denovo-db: a compendium of human de novo variants. [PMID: 27907889]
Turner TN, Yi Q, Krumm N, Huddleston J, Hoekzema K, F Stessman HA, Doebley AL, Bernier RA, Nickerson DA, Eichler EE.

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. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2017:45(D1) | 152 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
879/6895 (87.266%)
Health and medicine:
220/1738 (87.399%)
Genotype phenotype and variation:
115/1005 (88.657%)
879
Total Rank
136
Citations
17
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Record metadata

Created on: 2017-02-20
Curated by:
Fatima Batool [2018-12-27]
Shixiang Sun [2017-02-20]