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皮质脑形态与烟草、酒精和大麻使用之间存在共同的遗传病因。

Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.

机构信息

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.

Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.

出版信息

Cereb Cortex. 2022 Feb 8;32(4):796-807. doi: 10.1093/cercor/bhab243.

Abstract

Genome-wide association studies (GWAS) have identified genetic variants associated with brain morphology and substance use behaviors (SUB). However, the genetic overlap between brain structure and SUB has not been well characterized. We leveraged GWAS summary data of 71 brain imaging measures and alcohol, tobacco, and cannabis use to investigate their genetic overlap using linkage disequilibrium score regression. We used genomic structural equation modeling to model a "common SUB genetic factor" and investigated its genetic overlap with brain structure. Furthermore, we estimated SUB polygenic risk scores (PRS) and examined whether they predicted brain imaging traits using the Adolescent Behavior and Cognitive Development (ABCD) study. We identified 8 significant negative genetic correlations, including between (1) alcoholic drinks per week and average cortical thickness, and (2) intracranial volume with age of smoking initiation. We observed 5 positive genetic correlations, including those between (1) insula surface area and lifetime cannabis use, and (2) the common SUB genetic factor and pericalcarine surface area. SUB PRS were associated with brain structure variation in ABCD. Our findings highlight a shared genetic etiology between cortical brain morphology and SUB and suggest that genetic variants associated with SUB may be causally related to brain structure differences.

摘要

全基因组关联研究(GWAS)已经确定了与大脑形态和物质使用行为(SUB)相关的遗传变异。然而,大脑结构和 SUB 之间的遗传重叠尚未得到很好的描述。我们利用 71 个大脑成像测量和酒精、烟草和大麻使用的 GWAS 汇总数据,使用连锁不平衡评分回归来研究它们的遗传重叠。我们使用基因组结构方程模型来构建“常见 SUB 遗传因素”,并研究其与大脑结构的遗传重叠。此外,我们还估计了 SUB 多基因风险评分(PRS),并使用青少年行为和认知发展(ABCD)研究来检验它们是否可以预测大脑成像特征。我们确定了 8 个显著的负遗传相关性,包括(1)每周饮酒量与平均皮质厚度,以及(2)颅内体积与吸烟起始年龄。我们观察到 5 个正遗传相关性,包括(1)脑岛表面积与终生大麻使用,以及(2)常见 SUB 遗传因素与距状回表面积。SUB PRS 与 ABCD 中的大脑结构变化有关。我们的研究结果突出了皮质大脑形态和 SUB 之间存在共同的遗传病因,并表明与 SUB 相关的遗传变异可能与大脑结构差异存在因果关系。

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