Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

National Institute of Environmental Health Sciences

Use this QR code to view the newest version of this document
Use this QR code to view the newest version of this document

Your Environment. Your Health.

Publication Detail

Title: Smoking and selected DNA repair gene polymorphisms in controls: systematic review and meta-analysis.

Authors: Hodgson, M Elizabeth; Poole, Charles; Olshan, Andrew F; North, Kari E; Zeng, Donglin; Millikan, Robert C

Published In Cancer Epidemiol Biomarkers Prev, (2010 Dec)

Abstract: When the case-only study design is used to estimate statistical interaction between genetic (G) and environmental (E) exposures, G and E must be independent in the underlying population, or the case-only estimate of interaction (COR) will be biased. Few studies have examined the occurrence of G-E association in published control group data.To examine the assumption of G-E independence in empirical data, we conducted a systematic review and meta-analysis of G-E associations in controls for frequently investigated DNA repair genes (XRCC1 Arg399Gln, Arg194Trp, or Arg280His, XPD Lys751Gln, and Asp312Asn, and XRCC3 Thr241Met), and smoking (ever/never smoking, current/not current smoker, smoking duration, smoking intensity, and pack-years).Across the 55 included studies, single nucleotide polymorphisms SNP-smoking associations in controls (OR(z)) were not reliably at the null value of 1.0 for any SNP-smoking combinations. Two G-E combinations were too heterogeneous for summary estimates: XRCC1 399 and ever-never smoking (N = 21), and XPD 751 and pack-years (N = 12). OR(z) ranges for these combinations were: [OR(z) (95% confidence interval (CI)] 0.7 (0.4, 1.2)-1.9 (1.2, 2.8) and 0.8 (0.5, 1.3)-2.3 (0.8, 6.1), respectively). Estimates for studies considered homogeneous (Cochran's Q P-value <0.10) varied 2- to 5-fold. No study characteristics were identified that could explain heterogeneity.We recommend the independence assumption be evaluated in the population underlying any potential case-only study, rather than in a proxy control group(s) or pooled controls.These results suggest that G-E association in controls may be population-specific. Increased access to control data would improve evaluation of the independence assumption.

PubMed ID: 20935063 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

Back
to Top