| Literature DB >> 17898028 |
John P A Ioannidis1, Paolo Boffetta, Julian Little, Thomas R O'Brien, Andre G Uitterlinden, Paolo Vineis, David J Balding, Anand Chokkalingam, Siobhan M Dolan, W Dana Flanders, Julian P T Higgins, Mark I McCarthy, David H McDermott, Grier P Page, Timothy R Rebbeck, Daniela Seminara, Muin J Khoury.
Abstract
Established guidelines for causal inference in epidemiological studies may be inappropriate for genetic associations. A consensus process was used to develop guidance criteria for assessing cumulative epidemiologic evidence in genetic associations. A proposed semi-quantitative index assigns three levels for the amount of evidence, extent of replication, and protection from bias, and also generates a composite assessment of 'strong', 'moderate' or 'weak' epidemiological credibility. In addition, we discuss how additional input and guidance can be derived from biological data. Future empirical research and consensus development are needed to develop an integrated model for combining epidemiological and biological evidence in the rapidly evolving field of investigation of genetic factors.Entities:
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Year: 2007 PMID： 17898028 DOI： 10.1093/ije/dym159
Source DB: PubMed Journal: Int J Epidemiol ISSN： 0300-5771 Impact factor: 7.196