Institute for Behavioral Genetics, University of Colorado, Boulder, USA; Department of Psychology and Neuroscience, University of Colorado, Boulder, USA.
Institute for Behavioral Genetics, University of Colorado, Boulder, USA; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, USA.
Drug Alcohol Depend. 2024 Apr 1;257:111126. doi: 10.1016/j.drugalcdep.2024.111126. Epub 2024 Feb 15.
The understanding of the molecular genetic contributions to smoking is largely limited to the additive effects of individual single nucleotide polymorphisms (SNPs), but the underlying genetic risk is likely to also include dominance, epistatic, and gene-environment interactions.
To begin to address this complexity, we attempted to identify genetic interactions between rs16969968, the most replicated SNP associated with smoking quantity, and all SNPs and genes across the genome.
Using the UK Biobank European subsample, we found one SNP, rs1892967, and two genes, PCNA and TMEM230, that showed a significant genome-wide interaction with rs16969968 for log10 CPD and raw CPD, respectively, in a sample of 116 442 individuals who self-reported currently or previously smoking. We extended these analyses to individuals of South Asian descent and meta-analyzed the combined sample of 117 212 individuals of European and South Asian ancestry. We replicated the gene findings in a meta-analysis of five Finnish samples (N=40 140): FinHealth, FINRISK, Finnish Twin Cohort, GeneRISK, and Health-2000-2011.
To our knowledge, this represents the first reliable epistatic association between single nucleotide polymorphisms for smoking behaviors and provides a novel direction for possible future functional studies related to this interaction. Furthermore, this work demonstrates the feasibility of these analyses by pooling multiple datasets across various ancestries, which may be applied to other top SNPs for smoking and/or other phenotypes.
对吸烟的分子遗传贡献的理解在很大程度上仅限于个体单核苷酸多态性(SNP)的加性效应,但潜在的遗传风险也可能包括显性、上位性和基因-环境相互作用。
为了开始解决这个复杂性问题,我们试图确定与吸烟量最相关的 rs16969968 与全基因组的所有 SNP 和基因之间的遗传相互作用。
使用英国生物库欧洲亚组,我们发现了一个 SNP,rs1892967,以及两个基因,PCNA 和 TMEM230,它们与 rs16969968 分别在一个自我报告当前或以前吸烟的 116442 名个体的样本中显示出对数 10 CPD 和原始 CPD 的全基因组交互作用。我们将这些分析扩展到南亚裔个体,并对欧洲和南亚裔 117212 名个体的合并样本进行了荟萃分析。我们在五个芬兰样本(N=40140)的荟萃分析中复制了基因发现:FinHealth、FINRISK、芬兰双胞胎队列、GeneRISK 和 Health-2000-2011。
据我们所知,这是吸烟行为的单核苷酸多态性之间首次可靠的上位性关联,并为这一相互作用的可能未来功能研究提供了新的方向。此外,这项工作通过在不同种族之间汇集多个数据集来证明了这些分析的可行性,这可能适用于其他吸烟和/或其他表型的顶级 SNP。