The dbGaP data browser: a new tool for browsing dbGaP controlled-access genomic data

The database of Genotypes and Phenotypes (dbGaP) Data Browser (https://www.ncbi.nlm.nih.gov/gap/ddb/) was developed in response to requests from the scientific community for a resource that enable view-only access to summary-level information and individual-level genotype and sequence data associate...

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Veröffentlicht in:Nucleic acids research Jg. 45; H. D1; S. D819 - D826
Hauptverfasser: Wong, Kira M., Langlais, Kristofor, Tobias, Geoffrey S., Fletcher-Hoppe, Colette, Krasnewich, Donna, Leeds, Hilary S., Rodriguez, Laura Lyman, Godynskiy, Georgy, Schneider, Valerie A., Ramos, Erin M., Sherry, Stephen T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Oxford University Press 04.01.2017
Schlagworte:
Computational Biology - methods
Database Issue
Databases, Genetic
Genetic Association Studies - methods
Genomics - methods
Genotype
Phenotype
Software
Web Browser
ISSN:0305-1048, 1362-4962
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Abstract The database of Genotypes and Phenotypes (dbGaP) Data Browser (https://www.ncbi.nlm.nih.gov/gap/ddb/) was developed in response to requests from the scientific community for a resource that enable view-only access to summary-level information and individual-level genotype and sequence data associated with phenotypic features maintained in the controlled-access tier of dbGaP. Until now, the dbGaP controlled-access environment required investigators to submit a data access request, wait for Data Access Committee review, download each data set and locally examine them for potentially relevant information. Existing unrestricted-access genomic data browsing resources (e.g. http://evs.gs.washington.edu/EVS/, http://exac.broadinstitute.org/) provide only summary statistics or aggregate allele frequencies. The dbGaP Data Browser serves as a third solution, providing researchers with view-only access to a compilation of individual-level data from general research use (GRU) studies through a simplified controlled-access process. The National Institutes of Health (NIH) will continue to improve the Browser in response to user feedback and believes that this tool may decrease unnecessary download requests, while still facilitating responsible genomic data-sharing.
AbstractList The database of Genotypes and Phenotypes (dbGaP) Data Browser (https://www.ncbi.nlm.nih.gov/gap/ddb/) was developed in response to requests from the scientific community for a resource that enable view-only access to summary-level information and individual-level genotype and sequence data associated with phenotypic features maintained in the controlled-access tier of dbGaP. Until now, the dbGaP controlled-access environment required investigators to submit a data access request, wait for Data Access Committee review, download each data set and locally examine them for potentially relevant information. Existing unrestricted-access genomic data browsing resources (e.g. http://evs.gs.washington.edu/EVS/, http://exac.broadinstitute.org/) provide only summary statistics or aggregate allele frequencies. The dbGaP Data Browser serves as a third solution, providing researchers with view-only access to a compilation of individual-level data from general research use (GRU) studies through a simplified controlled-access process. The National Institutes of Health (NIH) will continue to improve the Browser in response to user feedback and believes that this tool may decrease unnecessary download requests, while still facilitating responsible genomic data-sharing.
Author Wong, Kira M.
Krasnewich, Donna
Godynskiy, Georgy
Fletcher-Hoppe, Colette
Tobias, Geoffrey S.
Leeds, Hilary S.
Schneider, Valerie A.
Langlais, Kristofor
Ramos, Erin M.
Rodriguez, Laura Lyman
Sherry, Stephen T.
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ContentType Journal Article
Copyright Published by Oxford University Press on behalf of Nucleic Acids Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.
Published by Oxford University Press on behalf of Nucleic Acids Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US. 2017
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SubjectTerms Computational Biology - methods
Database Issue
Databases, Genetic
Genetic Association Studies - methods
Genomics - methods
Genotype
Phenotype
Software
Web Browser
Title The dbGaP data browser: a new tool for browsing dbGaP controlled-access genomic data
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