The NCBI dbGaP database of genotypes and phenotypes

• Published in: Nature genetics Vol. 39; no. 10; pp. 1181 - 1186
• Main Authors: Mailman, Matthew D, Feolo, Michael, Jin, Yumi, Kimura, Masato, Tryka, Kimberly, Bagoutdinov, Rinat, Hao, Luning, Kiang, Anne, Paschall, Justin, Phan, Lon, Popova, Natalia, Pretel, Stephanie, Ziyabari, Lora, Lee, Moira, Shao, Yu, Wang, Zhen Y, Sirotkin, Karl, Ward, Minghong, Kholodov, Michael, Zbicz, Kerry, Beck, Jeffrey, Kimelman, Michael, Shevelev, Sergey, Preuss, Don, Yaschenko, Eugene, Graeff, Alan, Ostell, James, Sherry, Stephen T
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.10.2007; Nature Publishing Group
• Subjects: Agriculture; Analysis; Animal Genetics and Genomics; Bioinformatics; Biological and medical sciences; Biomedical and Life Sciences; Biomedicine; Biotechnology; Cancer Research; commentary; Computational Biology; Databases, Factual; Databases, Genetic; Fundamental and applied biological sciences. Psychology; Gene Function; Genetic research; Genetics; Genetics of eukaryotes. Biological and molecular evolution; Genotype; Genotype & phenotype; Genotypes; Human Genetics; Methods; National Library of Medicine (U.S.) - organization & administration; Online databases; Phenotype; Product introduction; Research centers; United States; United States; Database; Genotype; Phenotype
• ISSN: 1061-4036; 1546-1718; 1546-1718
• DOI: 10.1038/ng1007-1181

The National Center for Biotechnology Information has created the dbGaP public repository for individual-level phenotype, exposure, genotype and sequence data and the associations between them. dbGaP assigns stable, unique identifiers to studies and subsets of information from those studies, including documents, individual phenotypic variables, tables of trait data, sets of genotype data, computed phenotype-genotype associations, and groups of study subjects who have given similar consents for use of their data.