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

被引：16

作者：

Schully, Sheri D. ^{[1
]}

Yu, Wei ^{[2
]}

McCallum, Victoria ^{[3
]}

Benedicto, Camilla B. ^{[1
]}

Dong, Linda M. ^{[4
]}

Wulf, Anja ^{[2
]}

Clyne, Melinda ^{[2
]}

Khoury, Muin J. ^{[1
,2
]}

机构：

[1] NCI, Div Canc Control & Populat Sci, Bethesda, MD 20892 USA

[2] Ctr Dis Control & Prevent, Off Publ Hlth Genom, Atlanta, GA USA

[3] NCI, Off Workforce Dev, Bethesda, MD 20892 USA

[4] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA

来源：

EUROPEAN JOURNAL OF HUMAN GENETICS | 2011年 / 19卷 / 08期

关键词：

cancer; meta-analyses; pooled analyses; GWAS; EPIDEMIOLOGY; KNOWLEDGE; DISEASE;

D O I：

10.1038/ejhg.2011.53

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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. European Journal of Human Genetics (2011) 19, 928-930; doi:10.1038/ejhg.2011.53; published online 13 April 2011

引用

页码：928 / 930

页数：3

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