DbGaP

= data sharing project

Description

"dbGaP, the database of Genotype and Phenotype, will for the first time provide a central location for interested parties to see all study documentation and to view summaries of the measured variables in an organized and searchable web format. The database will also provide pre-computed analyses of the level of statistical association between genes and selected phenotypes. Genotype data are obtained by using high-throughput genotyping arrays to test subjects' DNA for single nucleotide polymorphisms (SNPs), areas of the genome that have been found to vary among humans.

The database was developed and will be managed by the National Center for Biotechnology Information , a division of NLM. dbGaP is located at the website .

The initial release of dbGaP contains data on two studies: the Age-Related Eye Diseases Study (AREDS), a 600-subject, multicenter, case-controlled, prospective study of the clinical course of age-related macular degeneration and age-related cataracts that was supported by the National Eye Institute ; and the National Institute of Neurological Disorders and Stroke Parkinsonism Study, a case-controlled study that gathered DNA, cell line samples and detailed phenotypic data on 2,573 subjects. NEI and NINDS worked closely with NCBI in placing data from the two studies in dbGaP.

"The availability of AREDS data in this database, which can be accessed free of charge, signals a whole new way of conducting vision research," said Paul Sieving, M.D., Ph.D., director of NEI. "Having this information widely available will help researchers better understand gene-based eye diseases, will likely speed development of effective therapies, and, thereby, will prove to be a worthwhile investment for the taxpayers who funded this important medical research."

"The dbGaP project marks a new milestone in data sharing," said NLM Director Donald A. B. Lindberg, M.D. "Researchers, students and the public will have access to a level of study detail that was not previously available and to genotype-phenotype associations that should provide a wealth of hypothesis-generating leads," he said. "These data will be linked to related literature in PubMed and molecular data in other NCBI databases, thereby enhancing the research process."

Danilo Tagle, Ph.D., a program director for NINDS's neurogenetics program, commented: "The launch of dbGaP addresses the critical need for sharing of genotype and phenotype information coming from genome wide association studies. The large collection of DNA samples and well-described clinical information from these studies, and subsequent genotyping analyses, are strategic investments by the institute that will surely pay huge returns. They will continue to pay dividends as other groups access dbGaP to do meta-analyses of GWA datasets." (http://news.biocompare.com/newsstory.asp?id=163392)