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Cited by 529

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NCBI’s Database of Genotypes and Phenotypes: dbGaP

Open access
Tryka, Kimberly A., Hao, Luning, Sturcke, Anne, Jin, Yumi, Wang, Zhen Y., Ziyabari, Lora, Lee, Moira, Popova, Natalia, Sharopova, Nataliya, Kimura, Masato, Feolo, Michael·2014·Nucleic Acids Research

Abstract

The Database of Genotypes and Phenotypes (dbGap, http://www.ncbi.nlm.nih.gov/gap) is a National Institutes of Health-sponsored repository charged to archive, curate and distribute information produced by studies investigating the interaction of genotype and phenotype. Information in dbGaP is organized as a hierarchical structure and includes the accessioned objects, phenotypes (as variables and datasets), various molecular assay data (SNP and Expression Array data, Sequence and Epigenomic marks), analyses and documents. Publicly accessible metadata about submitted studies, summary level data, and documents related to studies can be accessed freely on the dbGaP website. Individual-level data are accessible via Controlled Access application to scientists across the globe.

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Metadata

Authors
Tryka, K. A., Hao, L., Sturcke, A., Jin, Y., Wang, Z. Y., Ziyabari, L., Lee, M., Popova, N., Sharopova, N., Kimura, M., & Feolo, M.
Venue
Nucleic Acids Research
Published
2013-12-01
Volume
42
Issue
D1
Pages
D975-D979
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W1973234126
Cited by
529
References
0
FWCI
99.42
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: NCBI’s Database of Genotypes and Phenotypes: dbGaP. https://app.cochat.ai/papers/10.1093/nar/gkt1211
The paper
Tryka, K. A., Hao, L., Sturcke, A., Jin, Y., Wang, Z. Y., Ziyabari, L., Lee, M., Popova, N., Sharopova, N., Kimura, M., & Feolo, M. (2014). NCBI’s Database of Genotypes and Phenotypes: dbGaP. Nucleic Acids Research. https://doi.org/10.1093/nar/gkt1211

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.