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Total Exposure Study Analysis consortium

A cross-sectional study of tobacco exposures

Bibliographic Data

ID15375013
AuthorsAndrew W Bergen (0000-0002-1237-7644, SRI International, corresponding author), Ruth E Krasnow (SRI International), Ruth Krasnow, Harold S Javitz (0000-0002-6370-174X, SRI International), Gary E Swan (0000-0001-5583-9629, Stanford University), Ming D Li (0000-0002-6873-9472, University of Virginia), James W Baurley (0000-0003-4116-7723, BioRealm (United States)), Xiangning Chen (0000-0002-3946-1117, University of Nevada, Las Vegas), Lenn Murrelle (0000-0002-7929-3744, Venebio (United States)), Barbara Zedler (Venebio (United States))
Year2015
Volume15
Issue1
Publication date2015-09-07
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-015-2212-5
OpenAlexW2119331718
LanguageEN
References cited42

The Total Exposure Study was a stratified, multi-center, cross-sectional study designed to estimate levels of biomarkers of tobacco-specific and non-specific exposure and of potential harm in U.S. adult current cigarette smokers (≥one manufactured cigarette per day over the last year) and tobacco product non-users (no smoking or use of any nicotine containing products over the last 5 years). The study was designed and sponsored by a tobacco company and implemented by contract research organizations in 2002–2003. Multiple analyses of smoking behavior, demographics, and biomarkers were performed. Study data and banked biospecimens were transferred from the sponsor to the Virginia Tobacco and Health Research Repository in 2010, and then to SRI International in 2012, for independent analysis and dissemination. We analyzed biomarker distributions overall, and by biospecimen availability, for comparison with existing studies, and to evaluate generalizability to the entire sample. We calculated genome-wide statistical power for a priori hypotheses. We performed clinical chemistries, nucleic acid extractions and genotyping, and report correlation and quality control metrics. Vital signs, clinical chemistries, and laboratory measures of tobacco specific and non-specific toxicants are available from 3585 current cigarette smokers, and 1077 non-users. Peripheral blood mononuclear cells, red blood cells, plasma and 24-h urine biospecimens are available from 3073 participants (2355 smokers and 719 non-users). In multivariate analysis, participants with banked biospecimens were significantly more likely to self-identify as White, to be older, to have increased total nicotine equivalents per cigarette, decreased serum cotinine, and increased forced vital capacity, compared to participants without. Effect sizes were small (Cohen’s d-values ≤ 0.11). Power for a priori hypotheses was 57 % in non-Hispanic Black (N = 340), and 96 % in non-Hispanic White (N = 1840), smokers. All DNA samples had genotype completion rates ≥97.5 %; 68 % of RNA samples yielded RIN scores ≥6.0. Total Exposure Study clinical and laboratory assessments and biospecimens comprise a unique resource for cigarette smoke health effects research. The Total Exposure Study Analysis Consortium seeks to perform molecular studies in multiple domains and will share data and analytic results in public repositories and the peer-reviewed literature. Data and banked biospecimens are available for independent or collaborative research

Biostatistics · Cotinine · Cross-sectional study · Environmental health · Nicotine · Pathology · Public health · Carcinogens and Genotoxicity Assessment · Genetic Associations and Epidemiology · Medicine · Smoking Behavior and Cessation · Internal Medicine

  • Nicotine Chemistry, Metabolism, Kinetics and Biomarkers

    Open Access•Neal L Benowitz, Janne Hukkanen et al.•Nicotine Psychopharmacology•2009

  • Principal components analysis corrects for stratification in genome-wide association studies

    Open Access•Alkes L Price, Nick J Patterson et al.•Nature Genetics•2006

  • The International HapMap Project

    Open Access•Richard A Gibbs, John W Belmont et al.•Nature•2003

Highly citedNo

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