Department of Psychology, University of Notre Dame, 118 Haggar Hall, Notre Dame, IN 46556, USA.
Behav Genet. 2012 Jul;42(4):636-46. doi: 10.1007/s10519-012-9529-y. Epub 2012 Mar 1.
Multiple studies have provided evidence for genetic associations between single nucleotide polymorphisms (SNPs) located on the CHRNA5/A3/B4 gene cluster and various phenotypes related to Nicotine Dependence (Greenbaum et al. 2009). Only a few studies have investigated other substances of abuse. The current study has two aims, (1) to extend previous findings by focusing on associations between the CHRNA5/A3/B4 gene cluster and age of initiation of several different substances, and (2) to investigate heterogeneity in age of initiation across the different substances. All analyses were conducted with a subset of the Add Health study with available genetic data. The first aim was met by modeling onset of tobacco, alcohol, cannabis, inhalants, and other substance use using survival mixture analysis (SMA). Ten SNPs in CHRNA5/A3/B4 were used to predict phenotypic differences in the risk of onset, and differences between users and non-users. The survival models aim at investigating differences in the risk of initiation across the 5-18 age range for each phenotype separately. Significant or marginally significant genetic effects were found for all phenotypes. The genetic effects were mainly related to the risk of initiation and to a lesser extent to discriminating between users and non-users. To address the second goal, the survival analyses were complemented by a latent class analysis that modeled all phenotypes jointly. One of the ten SNPs was found to predict differences between the early and late onset classes. Taken together, our study provides evidence for a general role of the CHRNA5/A3/B4 gene cluster in substance use initiation that is not limited to nicotine and alcohol.
多项研究提供了证据表明,位于 CHRNA5/A3/B4 基因簇上的单核苷酸多态性(SNPs)与尼古丁依赖的各种表型之间存在遗传关联(Greenbaum 等人,2009 年)。只有少数研究调查了其他滥用物质。本研究有两个目的,(1)通过关注 CHRNA5/A3/B4 基因簇与几种不同物质的起始年龄之间的关联,扩展以前的发现,(2)研究不同物质起始年龄的异质性。所有分析均使用具有可用遗传数据的 Add Health 研究的一个子集进行。第一项目的是通过使用生存混合分析(SMA)对烟草、酒精、大麻、吸入剂和其他物质使用的开始进行建模来实现。CHRNA5/A3/B4 中的 10 个 SNP 用于预测起始风险的表型差异,以及使用者和非使用者之间的差异。生存模型旨在分别针对每个表型在 5-18 岁年龄范围内调查起始风险的差异。对于所有表型,都发现了具有统计学意义或边缘统计学意义的遗传效应。遗传效应主要与起始风险有关,在较小程度上与区分使用者和非使用者有关。为了解决第二个目标,生存分析通过联合建模所有表型的潜在类别分析进行补充。发现十个 SNP 中的一个可以预测早期和晚期发病类别之间的差异。综上所述,我们的研究提供了证据表明,CHRNA5/A3/B4 基因簇在物质使用起始中具有普遍作用,不仅限于尼古丁和酒精。