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Title: Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies.
Authors: Schully SD,  Yu W,  McCallum V,  Benedicto CB,  Dong LM,  Wulf A,  Clyne M,  Khoury MJ
Journal: Eur J Hum Genet
Date: 2011 Aug
Branches: OEEB
PubMed ID: 21487441
PMC ID: PMC3172934
Abstract: In the field of cancer, genetic association studies are among the most active and well-funded research areas, and have produced hundreds of genetic associations, especially in the genome-wide association studies (GWAS) era. Knowledge synthesis of these discoveries is the first critical step in translating the rapidly emerging data from cancer genetic association research into potential applications for clinical practice. To facilitate the effort of translational research on cancer genetics, we have developed a continually updated database named Cancer Genome-wide Association and Meta Analyses database that contains key descriptive characteristics of each genetic association extracted from published GWAS and meta-analyses relevant to cancer risk. Here we describe the design and development of this tool with the aim of aiding the cancer research community to quickly obtain the current updated status in cancer genetic association studies.