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Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors

BACKGROUND: We, and others, have shown that experimenting with cigarettes is a function of both non-genetic and genetic factors. In this analysis we ask: how much of the total risk of experimenting with cigarettes, among those who had not experimented with cigarettes when they enrolled in a prospect...

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Autores principales: Wilkinson, Anna V., Swartz, Michael D., Yu, Xiaoying, Spitz, Margaret R., Shete, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547034/
https://www.ncbi.nlm.nih.gov/pubmed/23342024
http://dx.doi.org/10.1371/journal.pone.0053868
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author Wilkinson, Anna V.
Swartz, Michael D.
Yu, Xiaoying
Spitz, Margaret R.
Shete, Sanjay
author_facet Wilkinson, Anna V.
Swartz, Michael D.
Yu, Xiaoying
Spitz, Margaret R.
Shete, Sanjay
author_sort Wilkinson, Anna V.
collection PubMed
description BACKGROUND: We, and others, have shown that experimenting with cigarettes is a function of both non-genetic and genetic factors. In this analysis we ask: how much of the total risk of experimenting with cigarettes, among those who had not experimented with cigarettes when they enrolled in a prospective cohort, is attributable to genetic factors and to non-genetic factors? METHODS: Participants (N = 1,118 Mexican origin youth), recruited from a large population-based cohort study in Houston, Texas, provided prospective data on cigarette experimentation over three years. Non-genetic data were elicited twice – baseline and follow-up. Participants were genotyped for 672 functional and tagging variants in the dopamine, serotonin and opioid pathways. RESULTS: In the overall model, the adjusted combined non-genetic PAF was 71.2% and the adjusted combined genetic PAF was 58.5%. Among committed never smokers the adjusted combined non-genetic PAF was 67.0% and the adjusted combined genetic PAF was 53.5%. However, among cognitively susceptible youth, the adjusted combined non-genetic PAF was 52.0% and the adjusted combined genetic PAF was 68.4%. CONCLUSIONS: Our results suggest there may be differences in genotypes between youth who think they will try cigarettes in the future compared to their peers who think they will not and underscore the possibility that the relative influence of genetic vs. non-genetic factors on the uptake of smoking may vary between these two groups of youth. IMPACT: A clearer understanding of the relative role of genetic vs. non-genetic factors in the uptake of smoking may have implications for the design of prevention programs.
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spelling pubmed-35470342013-01-22 Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors Wilkinson, Anna V. Swartz, Michael D. Yu, Xiaoying Spitz, Margaret R. Shete, Sanjay PLoS One Research Article BACKGROUND: We, and others, have shown that experimenting with cigarettes is a function of both non-genetic and genetic factors. In this analysis we ask: how much of the total risk of experimenting with cigarettes, among those who had not experimented with cigarettes when they enrolled in a prospective cohort, is attributable to genetic factors and to non-genetic factors? METHODS: Participants (N = 1,118 Mexican origin youth), recruited from a large population-based cohort study in Houston, Texas, provided prospective data on cigarette experimentation over three years. Non-genetic data were elicited twice – baseline and follow-up. Participants were genotyped for 672 functional and tagging variants in the dopamine, serotonin and opioid pathways. RESULTS: In the overall model, the adjusted combined non-genetic PAF was 71.2% and the adjusted combined genetic PAF was 58.5%. Among committed never smokers the adjusted combined non-genetic PAF was 67.0% and the adjusted combined genetic PAF was 53.5%. However, among cognitively susceptible youth, the adjusted combined non-genetic PAF was 52.0% and the adjusted combined genetic PAF was 68.4%. CONCLUSIONS: Our results suggest there may be differences in genotypes between youth who think they will try cigarettes in the future compared to their peers who think they will not and underscore the possibility that the relative influence of genetic vs. non-genetic factors on the uptake of smoking may vary between these two groups of youth. IMPACT: A clearer understanding of the relative role of genetic vs. non-genetic factors in the uptake of smoking may have implications for the design of prevention programs. Public Library of Science 2013-01-16 /pmc/articles/PMC3547034/ /pubmed/23342024 http://dx.doi.org/10.1371/journal.pone.0053868 Text en © 2013 Wilkinson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wilkinson, Anna V.
Swartz, Michael D.
Yu, Xiaoying
Spitz, Margaret R.
Shete, Sanjay
Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title_full Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title_fullStr Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title_full_unstemmed Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title_short Cigarette Experimentation and the Population Attributable Fraction for Associated Genetic and Non-Genetic Risk Factors
title_sort cigarette experimentation and the population attributable fraction for associated genetic and non-genetic risk factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547034/
https://www.ncbi.nlm.nih.gov/pubmed/23342024
http://dx.doi.org/10.1371/journal.pone.0053868
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