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通过孟德尔随机化和全基因组共定位推断脑影像衍生表型与复杂疾病风险的遗传关系。

Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization.

机构信息

Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China; School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China.

School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China.

出版信息

Neuroimage. 2023 Oct 1;279:120325. doi: 10.1016/j.neuroimage.2023.120325. Epub 2023 Aug 12.

Abstract

Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases.

摘要

观察性研究一致揭示了基于脑影像的表型(IDP)作为脑疾病和心血管疾病早期诊断的关键标志物。然而,脑 IDP 与脑疾病和心血管疾病风险之间的共享遗传机制尚不清楚,这限制了通过脑 IDP 进行潜在诊断技术的应用。在这里,我们利用其大规模全基因组关联研究(GWAS)汇总统计数据,报告了 921 个脑 IDP、20 种脑疾病和 6 种心血管疾病之间的遗传相关性和潜在因果关系。基于孟德尔随机化(MR)的应用确定了多个特定区域脑 IDP 与肌萎缩侧索硬化症(ALS)、重度抑郁症(MDD)、自闭症谱系障碍(ASD)和精神分裂症(SCZ)风险增加相关的显著潜在因果效应。我们还发现,特定于颞叶的脑 IDP 是高血压的潜在因果后果。全基因组共定位分析确定了 MDD、ASD 和 SCZ 与脑 IDP 共定位的三个基因组区域,以及两个与 ASD、SCZ 和多个脑 IDP 相关的新 SNP。此外,我们确定了一组候选基因,这些基因参与了脑 IDP 和 MDD、ASD、SCZ、ALS 和高血压的共同遗传基础。我们的研究结果为脑疾病和心血管疾病与脑 IDP 之间的遗传关系提供了新的见解,这可能为使用脑 IDP 预测疾病风险提供线索。

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