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采用 GWAS 和 eQTL 数据的孟德尔随机化分析,探讨时型与神经精神障碍及其分子基础之间的关系。

Mendelian randomization analysis using GWAS and eQTL data to investigate the relationship between chronotype and neuropsychiatric disorders and their molecular basis.

机构信息

Centre for Neuroimaging, Cognition and Genomics, School of Biological and Chemical Sciences and School of Psychology, University of Galway, Galway, Ireland.

Department of Biology, Maynooth University, Maynooth, Ireland.

出版信息

Am J Med Genet B Neuropsychiatr Genet. 2024 Oct;195(7):e32980. doi: 10.1002/ajmg.b.32980. Epub 2024 Mar 29.

Abstract

Chronotype is a proxy sleep measure that has been associated with neuropsychiatric disorders. By investigating how chronotype influences risk for neuropsychiatric disorders and vice versa, we may identify modifiable risk factors for each phenotype. Here we used Mendelian randomization (MR), to explore causal effects by (1) studying the causal relationships between neuropsychiatric disorders and chronotype and (2) characterizing the genetic components of these phenotypes. Firstly, we investigated if a causal role exists between five neuropsychiatric disorders and chronotype using the largest genome-wide association studies (GWAS) available. Secondly, we integrated data from expression quantitative trait loci (eQTLs) to investigate the role of gene expression alterations on these phenotypes. Evening chronotype was causal for increased risk of schizophrenia and autism spectrum disorder and schizophrenia was causal for a tendency toward evening chronotype. We identified 12 eQTLs where gene expression changes in brain or blood were causal for one of the phenotypes, including two eQTLs for SNX19 in hippocampus and hypothalamus that were causal for schizophrenia. These findings provide important evidence for the complex, bidirectional relationship that exists between a sleep-based phenotype and neuropsychiatric disorders, and use gene expression data to identify causal roles for genes at associated loci.

摘要

时型是一种代理睡眠测量指标,与神经精神障碍有关。通过研究时型如何影响神经精神障碍的风险,反之亦然,我们可以确定每种表型的可改变风险因素。在这里,我们使用孟德尔随机化(MR),通过(1)研究神经精神障碍和时型之间的因果关系,(2)描述这些表型的遗传成分,来探索因果效应。首先,我们使用现有的最大基因组范围关联研究(GWAS)来研究五种神经精神障碍与时型之间是否存在因果关系。其次,我们整合了表达数量性状基因座(eQTLs)的数据,以研究基因表达改变对这些表型的作用。晚时型与精神分裂症和自闭症谱系障碍的风险增加有关,而精神分裂症则与晚时型倾向有关。我们确定了 12 个 eQTL,其中大脑或血液中的基因表达变化与其中一种表型有关,包括两个在海马体和下丘脑的 SNX19 的 eQTL,与精神分裂症有关。这些发现为睡眠表型与神经精神障碍之间存在的复杂、双向关系提供了重要证据,并利用基因表达数据确定了相关基因座上基因的因果作用。

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