title: Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies.
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.
authors.affiliation: Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA. schullys@mail.nih.gov
authors.forename: Sheri D
authors.initials: SD
authors.lastname: Schully
authors.forename: Wei
authors.initials: W
authors.lastname: Yu
authors.forename: Victoria
authors.initials: V
authors.lastname: McCallum
authors.forename: Camilla B
authors.initials: CB
authors.lastname: Benedicto
authors.forename: Linda M
authors.initials: LM
authors.lastname: Dong
authors.forename: Anja
authors.initials: A
authors.lastname: Wulf
authors.forename: Melinda
authors.initials: M
authors.lastname: Clyne
authors.forename: Muin J
authors.initials: MJ
authors.lastname: Khoury
mesh_terms: D030541:Databases, Genetic; D055106:Genome-Wide Association Study; D006801:Humans; D015201:Meta-Analysis as Topic; D009369:Neoplasms / Q000235:genetics*