The Mind Research Network, Albuquerque, NM.
Department of Electrical Engineering, University of New Mexico, Albuquerque, NM.
Schizophr Bull. 2019 Jan 1;45(1):222-232. doi: 10.1093/schbul/sby010.
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.
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。