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. 2011 Aug;19(8):928-30.
doi: 10.1038/ejhg.2011.53. Epub 2011 Apr 13.

Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies

Sheri D Schully  1 , Wei Yu, Victoria McCallum, Camilla B Benedicto, Linda M Dong, Anja Wulf, Melinda Clyne, Muin J Khoury
Affiliations

Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies

Sheri D Schully et al. Eur J Hum Genet. 2011 Aug.

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.

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Figures

Figure 1
Figure 1
Workflow of the methodology use to create the Cancer GAMAdb.
Figure 2
Figure 2
Screenshot of the search for ‘bladder cancer'.
See this image and copyright information in PMC

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