Cigarette experimentation and the population attributable fraction for associated genetic and non-genetic risk factors.

Cigarette experimentation and the population attributable fraction for associated genetic and non-genetic risk factors.
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DOI:
10.1371/journal.pone.0053868
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Shete S
Shete S
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wilkinson AV;Swartz MD;Yu X;Spitz MR;Shete S

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我们和其他人已经证明,对香烟的实验是非遗传因素和遗传因素共同作用的结果。在这项分析中,我们提出了这样的问题:在那些在前瞻性队列中登记时没有吸过烟的人当中,吸烟的总风险有多少可归因于遗传因素和非遗传因素?参与者(N = 1118名墨西哥裔青年)从德克萨斯州休斯顿的一项基于人口的大型队列研究中招募,提供了三年香烟实验的前瞻性数据。非遗传数据提取了两次——基线和随访。参与者在多巴胺、血清素和阿片通路中进行了672种功能和标记变异的基因分型。在整个模型中,调整后的联合非遗传PAF为71.2%,调整后的联合遗传PAF为58.5%。在从不吸烟者中,调整后的非遗传综合PAF为67.0%,调整后的遗传综合PAF为53.5%。而在认知易感青年中,调整后的非遗传联合PAF为52.0%,调整后的遗传联合PAF为68.4%。我们的研究结果表明,认为将来会尝试吸烟的青少年与认为不会尝试吸烟的同龄人之间的基因型可能存在差异,并强调了遗传因素与非遗传因素对吸烟的相对影响可能在这两组青少年之间有所不同。更清楚地了解遗传因素与非遗传因素在吸烟中的相对作用,可能对预防计划的设计有影响。
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? 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. 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%. 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. 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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