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Covariates and confounding in epidemiologic studies using metabolic gene polymorphisms
Author(s) -
Taioli Emanuela,
Garte Seymour
Publication year - 2002
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.10448
Subject(s) - confounding , covariate , genetics , medicine , biology , gene , bioinformatics , oncology , statistics , mathematics
The relationship between exposure and disease when biomarkers are introduced in an epidemiologic study is explored and summarized. In molecular epidemiologic studies, biologic measurements play a major role as markers of exposure, disease or susceptibility to disease and/or exposure. In this scenario, the definition and management of confounding factors may change. Sometimes the presence or activation of the biomarker is partially caused by the relevant environmental exposure, and therefore the 2 variables (exposure and biomarker) should not be always treated as confounders of each other. Models of exposure‐disease association in the presence of biologic markers are presented. The concept of confounders is reviewed in light of the role of biomarkers in the pathway between exposure and disease. © 2002 Wiley‐Liss, Inc.