Assessment of cumulative evidence on genetic associations: interim guidelines

John P. A. Ioannidis(University of Ioannina), Paolo Boffetta(Centre International de Recherche sur le Cancer), Julian Little, T. R O'Brien, André G. Uitterlinden, Paolo Vineis, David J. Balding, Anand P. Chokkalingam, Siobhan M. Dolan, W. Dana Flanders, Julian P. T. Higgins(MRC Biostatistics Unit), Mark I. McCarthy(University of Oxford), David H. McDermott(National Institute of Allergy and Infectious Diseases), Grier P. Page, Timothy R. Rebbeck(University of Pennsylvania), Daniela Seminara, Muin J. Khoury(Office of Public Health Genomics)
International Journal of Epidemiology
September 26, 2007
Cited by 548Open Access
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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.


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