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Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia.精神分裂症中脑灰质的遗传和表观遗传影响的跨组织研究。
Schizophr Bull. 2018 Feb 15;44(2):443-452. doi: 10.1093/schbul/sbx068.
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Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential.精神病学中的影像遗传学与基因组学:进展与潜力的批判性综述
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Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia.遗传力分区分析揭示了脑解剖结构与精神分裂症的共同遗传基础。
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Independent component analysis of SNPs reflects polygenic risk scores for schizophrenia.单核苷酸多态性的独立成分分析反映了精神分裂症的多基因风险评分。
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Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept.精神分裂症与皮质下脑容量的遗传影响:大规模概念验证
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Schizophrenia risk from complex variation of complement component 4.补体成分4的复杂变异导致精神分裂症的风险。
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Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex.绘制人类额叶皮质发育、基因型和精神分裂症过程中的DNA甲基化图谱。
Nat Neurosci. 2016 Jan;19(1):40-7. doi: 10.1038/nn.4181. Epub 2015 Nov 30.
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Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci.发育中的大脑中的甲基化数量性状基因座及其在精神分裂症风险位点中的富集。
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An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders.并行独立成分分析(p-ICA)简介及将p-ICA应用于遗传数据和成像表型以识别常见复杂疾病中与疾病相关的生物途径和系统的指南。
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Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans.人类基因组学。基因型-组织表达(GTEx)试点分析:人类多组织基因调控
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精神分裂症与 6p22.1 区灰质体积减少存在共享遗传风险。

Shared Genetic Risk of Schizophrenia and Gray Matter Reduction in 6p22.1.

机构信息

The Mind Research Network, Albuquerque, NM.

Department of Electrical Engineering, University of New Mexico, Albuquerque, NM.

出版信息

Schizophr Bull. 2019 Jan 1;45(1):222-232. doi: 10.1093/schbul/sby010.

DOI:
10.1093/schbul/sby010
PMID:29474680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6293216/
Abstract

Genetic factors are known to influence both risk for schizophrenia (SZ) and variation in brain structure. A pressing question is whether the genetic underpinnings of brain phenotype and the disorder overlap. Using multivariate analytic methods and focusing on 1,402 common single-nucleotide polymorphisms (SNPs) mapped from the Psychiatric Genomics Consortium (PGC) 108 regions, in 777 discovery samples, we identified 39 SNPs to be significantly associated with SZ-discriminating gray matter volume (GMV) reduction in inferior parietal and superior temporal regions. The findings were replicated in 609 independent samples. These 39 SNPs in chr6:28308034-28684183 (6p22.1), the most significant SZ-risk region reported by PGC, showed regulatory effects on both DNA methylation and gene expression of postmortem brain tissue and saliva. Furthermore, the regulated methylation site and gene showed significantly different levels of methylation and expression in the prefrontal cortex between cases and controls. In addition, for one regulated methylation site we observed a significant in vivo methylation-GMV association in saliva, suggesting a potential SNP-methylation-GMV pathway. Notably, the risk alleles inferred for GMV reduction from in vivo imaging are all consistent with the risk alleles for SZ inferred from postmortem data. Collectively, we provide evidence for shared genetic risk of SZ and regional GMV reduction in 6p22.1 and demonstrate potential molecular mechanisms that may drive the observed in vivo associations. This study motivates dissecting SZ-risk variants to better understand their associations with focal brain phenotypes and the complex pathophysiology of the illness.

摘要

遗传因素被认为会影响精神分裂症(SZ)的发病风险和大脑结构的变化。一个紧迫的问题是,大脑表型和疾病的遗传基础是否重叠。本研究使用多变量分析方法,针对从精神疾病基因组学联盟(PGC)108 个区域映射的 1402 个常见单核苷酸多态性(SNP),在 777 个发现样本中,我们确定了 39 个 SNP 与下顶叶和上颞叶的 SZ 区分灰质体积(GMV)减少显著相关。这些发现与 609 个独立样本得到了复制。在 PGC 报道的最显著的 SZ 风险区域 chr6:28308034-28684183(6p22.1)中,这 39 个 SNP 显示出对死后脑组织和唾液中 DNA 甲基化和基因表达的调节作用。此外,调控的甲基化位点和基因在病例和对照组的前额叶皮质中表现出明显不同的甲基化和表达水平。另外,我们观察到一个受调控的甲基化位点在唾液中的体内甲基化-GMV 关联具有统计学意义,提示存在潜在的 SNP-甲基化-GMV 通路。值得注意的是,从体内成像推断出的 GMV 减少的风险等位基因与从死后数据推断出的 SZ 风险等位基因完全一致。总的来说,我们提供了 6p22.1 中 SZ 和区域性 GMV 减少的共享遗传风险的证据,并证明了可能驱动观察到的体内关联的潜在分子机制。这项研究促使我们剖析 SZ 风险变体,以更好地理解它们与焦点脑表型和疾病的复杂病理生理学之间的关联。