© 2005 Oxford University Press
EDITORIAL |
GeneEnvironment Interactions: How Many False Positives?
Affiliations of authors: Foundation and University of Torino, Italy (GM); Division of Epidemiology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM (MB); Department of Epidemiology and Public Health, Imperial College, London, UK (PV)
Correspondence to: Marianne Berwick, PhD, MD, MSC 08 4630, Room 103A, 1 University of New Mexico, Albuquerque, NM 87131 (e-mail: mberwick@salud.unm.edu).
| The first 10% of the full text of this article appears below. |
In this issue of the Journal, Hung et al. (1) describe the results of a large study on the association between base excision repair gene polymorphisms and lung cancer risk. Their study demonstrates problems typical of investigations of geneenvironment interactions, in particular, the fact that among the generally negative results, some seemingly noteworthy associations are identified in subgroups of subjects who are defined on the basis of their tumor histology or smoking habits. The unique aspect of this study is that the authors have estimated the probability that the associations found are attributable to chance (i.e., false positives). The idea of evaluating new observations in the light of existing evidence is not novel and belongs to at least two traditions: Bayesian statistics and clinical epidemiology. In clinical epidemiology, formal
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