Publication related to RSI or an RSI staff member

Bias in the case-only design applied to studies of gene-environment and gene-gene interaction: a systematic review and meta-analysis.

Authors

  • Dennis, Jessica, Dennis J, Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, ON, Canada. dennis.jessica@gmail.com

  • Hawken, Steven, Hawken S,

  • Krewski, Daniel, Krewski D,

  • Birkett, Nick, Birkett N,

  • Gheorghe, Mihaela, Gheorghe M,

  • Frei, Julia, Frei J,

  • McKeown-Eyssen, Gail, McKeown-Eyssen G,

  • Little, Julian, Little J,

YEAR OF PUBLICATION: 2011
SOURCE: Int J Epidemiol. 2011 Oct;40(5):1329-41. doi: 10.1093/ije/dyr088. Epub 2011 Jul 4.
JOURNAL TITLE ABBREVIATION: Int J Epidemiol
JOURNAL TITLE: International journal of epidemiology
ISSN: 1464-3685 (Electronic) 0300-5771 (Linking)
VOLUME: 40
ISSUE: 5
PAGES: 1329-41
PLACE OF PUBLICATION: England
ABSTRACT:

BACKGROUND: The case-only study, proposed as a design specifically for assessing departure from multiplicative gene-environment and gene-gene interactions, is of considerable potential value but there are concerns about its validity. The objective of this study was to evaluate the extent and sources of bias in the case-only design by means of a systematic review and meta-regression analysis. METHODS: The MEDLINE, CINAHL, EMBASE and PUBMED databases were searched through to 7 October 2009. Studies that assessed bias in the case-only design applied to the study of gene-environment and gene-gene interaction were identified. Qualitative comments on the sources and extent of bias were extracted. A meta-regression analysis of the ratio (IOR(CC)/IOR(CO)) of the case-control (IOR(CC)) and case-only (IOR(CO)) interaction odds ratios was conducted based on studies in which both methods were applied to the same data set. RESULTS: The search yielded 365 unique articles of which 38 met the inclusion criteria. Potential sources of bias in the case-only design included non-independence of genotype and exposure in the source population. Meta-regression analysis, based on 24 evaluations, produced a mean IOR(CC)/IOR(CO) of 1.06 [95% confidence interval (95% CI) 0.93-1.22], suggesting that bias in case-only designs is not common in practice. The I(2) statistic indicated that 23.9% (95% uncertainty interval 0-53.9%) of the observed variation was due to heterogeneity between studies, which was not explained by any methodological characteristics of the included studies. CONCLUSION: As understanding of the relationships between genes and environmental exposures in the population improves, the case-only design may prove to be of considerable value.

LANGUAGE: eng
DATE OF PUBLICATION: 2011 Oct
DATE OF ELECTRONIC PUBLICATION: 20110704
DATE COMPLETED: 20120319
DATE REVISED: 20250626
MESH DATE: 2012/03/20 06:00
EDAT: 2011/07/07 06:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
LOCATION IDENTIFIER: 10.1093/ije/dyr088 [doi]
OWNER: NLM

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Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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