Assessment of cumulative evidence on genetic associations: interim guidelines | Zendy

John P. A. Ioannidis | Zendy; Paolo Boffetta | Zendy; Julian Little | Zendy; T. R O'Brien | Zendy; André G. Uitterlinden | Zendy; Paolo Vineis | Zendy; David J. Balding | Zendy; Anand P. Chokkalingam | Zendy; Siobhan M. Dolan | Zendy; W. Dana Flanders | Zendy; Julian P. T. Higgins | Zendy; Mark I. McCarthy | Zendy; David H. McDermott | Zendy; Grier P. Page | Zendy; Timothy R. Rebbeck | Zendy; Daniela Seminara | Zendy; Muin J. Khoury | Zendy

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Assessment of cumulative evidence on genetic associations: interim guidelines

Author(s) -

John P. A. Ioannidis,

Paolo Boffetta,

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,

Mark I. McCarthy,

David H. McDermott,

Grier P. Page,

Timothy R. Rebbeck,

Daniela Seminara,

Muin J. Khoury

Publication year - 2007

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dym159

Subject(s) - interim , epidemiology , credibility , replication (statistics) , causal inference , inference , medicine , computer science , pathology , geography , political science , archaeology , virology , artificial intelligence , law

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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