Department of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA.
School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK.
Genes (Basel). 2014 Apr 10;5(2):330-46. doi: 10.3390/genes5020330.
Alcohol problems represent a classic example of a complex behavioral outcome that is likely influenced by many genes of small effect. A polygenic approach, which examines aggregate measured genetic effects, can have predictive power in cases where individual genes or genetic variants do not. In the current study, we first tested whether polygenic risk for alcohol problems-derived from genome-wide association estimates of an alcohol problems factor score from the age 18 assessment of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4304 individuals of European descent; 57% female)-predicted alcohol problems earlier in development (age 14) in an independent sample (FinnTwin12; n = 1162; 53% female). We then tested whether environmental factors (parental knowledge and peer deviance) moderated polygenic risk to predict alcohol problems in the FinnTwin12 sample. We found evidence for both polygenic association and for additive polygene-environment interaction. Higher polygenic scores predicted a greater number of alcohol problems (range of Pearson partial correlations 0.07-0.08, all p-values ≤ 0.01). Moreover, genetic influences were significantly more pronounced under conditions of low parental knowledge or high peer deviance (unstandardized regression coefficients (b), p-values (p), and percent of variance (R2) accounted for by interaction terms: b = 1.54, p = 0.02, R2 = 0.33%; b = 0.94, p = 0.04, R2 = 0.30%, respectively). Supplementary set-based analyses indicated that the individual top single nucleotide polymorphisms (SNPs) contributing to the polygenic scores were not individually enriched for gene-environment interaction. Although the magnitude of the observed effects are small, this study illustrates the usefulness of polygenic approaches for understanding the pathways by which measured genetic predispositions come together with environmental factors to predict complex behavioral outcomes.
酒精问题是一个典型的复杂行为结果的例子,它可能受到许多小效应基因的影响。多基因方法,即检查综合测量的遗传效应,在个体基因或遗传变异不具有预测能力的情况下可能具有预测能力。在当前的研究中,我们首先测试了源自于酒精问题因素评分的全基因组关联估计值的多基因风险(该评分来自于阿冯纵向研究父母和儿童的年龄 18 岁评估;ALSPAC;n = 4304 名欧洲血统个体;57%为女性),是否能在另一个独立样本(FinnTwin12;n = 1162;53%为女性)中更早地预测到酒精问题(年龄 14 岁)。然后,我们测试了环境因素(父母知识和同伴偏差)是否调节了多基因风险,以预测 FinnTwin12 样本中的酒精问题。我们发现了多基因关联和加性多基因-环境相互作用的证据。更高的多基因评分预测了更多的酒精问题(皮尔逊部分相关系数的范围为 0.07-0.08,所有 p 值均≤0.01)。此外,在父母知识低或同伴偏差高的情况下,遗传影响明显更为显著(交互项的未标准化回归系数(b)、p 值(p)和方差百分比(R2)分别为:b = 1.54,p = 0.02,R2 = 0.33%;b = 0.94,p = 0.04,R2 = 0.30%)。基于集合的补充分析表明,多基因评分所涉及的个体顶级单核苷酸多态性(SNP)在基因-环境相互作用方面没有单独富集。尽管观察到的效应幅度较小,但本研究说明了多基因方法在理解测量遗传倾向与环境因素相结合以预测复杂行为结果的途径方面的有用性。