Journal article
Accuracy and utility of an epigenetic biomarker for smoking in populations with varying rates of false self-report
American journal of medical genetics. Part B, Neuropsychiatric genetics, Vol.174(6), pp.641-650
09/2017
DOI: 10.1002/ajmg.b.32555
PMCID: PMC5653254
PMID: 28816414
Abstract
Better biomarkers to detect smoking are needed given the tremendous public health burden caused by smoking. Current biomarkers to detect smoking have significant limitations, notably a short half-life for detection and lack of sensitivity for light smokers. These limitations may be particularly problematic in populations with less accurate self-reporting. Prior epigenome-wide association studies indicate that methylation status at cg05575921, a CpG residue located in the aryl hydrocarbon receptor repressor (AHRR) gene, may be a robust indicator of smoking status in individuals with as little as half of a pack-year of smoking. In this study, we show that a novel droplet digital PCR assay for measuring methylation at cg05575921 can reliably detect smoking status, as confirmed by serum cotinine, in populations with different demographic characteristics, smoking histories, and rates of false-negative self-report of smoking behavior. Using logistic regression models, we show that obtaining maximum accuracy in predicting smoking status depends on appropriately weighting self-report and cg05575921 methylation according to the characteristics of the sample being tested. Furthermore, models using only cg05575921 methylation to predict smoking perform nearly as well as those also including self-report across populations. In conclusion, cg05575921 has significant potential as a clinical biomarker to detect smoking in populations with varying rates of accuracy in self-report of smoking behavior.
Details
- Title: Subtitle
- Accuracy and utility of an epigenetic biomarker for smoking in populations with varying rates of false self-report
- Creators
- Allan M Andersen - Department of Psychiatry, University of Iowa, Iowa City, IowaRobert A Philibert - Behavioral Diagnostics, Coralville, IowaFredrick X Gibbons - Department of Psychological Sciences, University of Connecticut, Storrs, ConnecticutRonald L Simons - Department of Sociology, University of Georgia, Athens, GeorgiaJeffrey Long - Department of Biostatistics, University of Iowa, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- American journal of medical genetics. Part B, Neuropsychiatric genetics, Vol.174(6), pp.641-650
- DOI
- 10.1002/ajmg.b.32555
- PMID
- 28816414
- PMCID
- PMC5653254
- NLM abbreviation
- Am J Med Genet B Neuropsychiatr Genet
- ISSN
- 1552-4841
- eISSN
- 1552-485X
- Publisher
- United States
- Grant note
- K12 DA000357 / NIDA NIH HHS\nP30 DA027827 / NIDA NIH HHS\nT32 MH019113 / NIMH NIH HHS\nR01 DA037648 / NIDA NIH HHS
- Language
- English
- Date published
- 09/2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Psychiatry; Iowa Neuroscience Institute; Biostatistics
- Record Identifier
- 9984070324502771
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