Genome-Wide Association Studies, Field Synopses, and the Development of the Knowledge Base on Genetic Variation and Human Diseases

Genome-wide association studies (GWAS) have led to a rapid increase in available data on common genetic variants and phenotypes and numerous discoveries of new loci associated with susceptibility to common complex diseases. Integrating the evidence from GWAS and candidate gene studies depends on con...

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Veröffentlicht in:American journal of epidemiology 2009-08, Vol.170 (3), p.269-279
Hauptverfasser: Khoury, Muin J., Bertram, Lars, Boffetta, Paolo, Butterworth, Adam S., Chanock, Stephen J., Dolan, Siobhan M., Fortier, Isabel, Garcia-Closas, Montserrat, Gwinn, Marta, Higgins, Julian P. T., Janssens, A. Cecile J. W., Ostell, James, Owen, Ryan P., Pagon, Roberta A., Rebbeck, Timothy R., Rothman, Nathaniel, Bernstein, Jonine L., Burton, Paul R., Campbell, Harry, Chockalingam, Anand, Furberg, Helena, Little, Julian, O'Brien, Thomas R., Seminara, Daniela, Vineis, Paolo, Winn, Deborah M., Yu, Wei, Ioannidis, John P. A.
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Sprache:eng
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Zusammenfassung:Genome-wide association studies (GWAS) have led to a rapid increase in available data on common genetic variants and phenotypes and numerous discoveries of new loci associated with susceptibility to common complex diseases. Integrating the evidence from GWAS and candidate gene studies depends on concerted efforts in data production, online publication, database development, and continuously updated data synthesis. Here the authors summarize current experience and challenges on these fronts, which were discussed at a 2008 multidisciplinary workshop sponsored by the Human Genome Epidemiology Network. Comprehensive field synopses that integrate many reported gene-disease associations have been systematically developed for several fields, including Alzheimer's disease, schizophrenia, bladder cancer, coronary heart disease, preterm birth, and DNA repair genes in various cancers. The authors summarize insights from these field synopses and discuss remaining unresolved issues—especially in the light of evidence from GWAS, for which they summarize empirical P-value and effect-size data on 223 discovered associations for binary outcomes (142 with P 
ISSN:0002-9262
1476-6256
DOI:10.1093/aje/kwp119