NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Department of Neurosciences, University of California San Diego, La Jolla, CA.
Schizophr Bull. 2018 Jun 6;44(4):854-864. doi: 10.1093/schbul/sbx148.
Schizophrenia (SCZ) is associated with differences in subcortical brain volumes and intracranial volume (ICV). However, little is known about the underlying etiology of these brain alterations. Here, we explored whether brain structure volumes and SCZ share genetic risk factors. Using conditional false discovery rate (FDR) analysis, we integrated genome-wide association study (GWAS) data on SCZ (n = 82315) and GWAS data on 7 subcortical brain volumes and ICV (n = 11840). By conditioning the FDR on overlapping associations, this statistical approach increases power to discover genetic loci. To assess the credibility of our approach, we studied the identified loci in larger GWAS samples on ICV (n = 26577) and hippocampal volume (n = 26814). We observed polygenic overlap between SCZ and volumes of hippocampus, putamen, and ICV. Based on conjunctional FDR < 0.05, we identified 2 loci shared between SCZ and ICV implicating genes FOXO3 (rs10457180) and ITIH4 (rs4687658), 2 loci shared between SCZ and hippocampal volume implicating SLC4A10 (rs4664442) and SPATS2L (rs1653290), and 2 loci shared between SCZ and volume of putamen implicating DCC (rs4632195) and DLG2 (rs11233632). The loci shared between SCZ and hippocampal volume or ICV had not reached significance in the primary GWAS on brain phenotypes. Proving our point of increased power, 2 loci did reach genome-wide significance with ICV (rs10457180) and hippocampal volume (rs4664442) in the larger GWAS. Three of the 6 identified loci are novel for SCZ. Altogether, the findings provide new insights into the relationship between SCZ and brain structure volumes, suggesting that their genetic architectures are not independent.
精神分裂症 (SCZ) 与皮质下脑体积和颅内体积 (ICV) 的差异有关。然而,对于这些大脑改变的潜在病因知之甚少。在这里,我们探讨了脑结构体积和 SCZ 是否具有共同的遗传风险因素。我们使用条件假发现率 (FDR) 分析,整合了 SCZ 的全基因组关联研究 (GWAS) 数据 (n = 82315) 和 7 个皮质下脑体积和 ICV 的 GWAS 数据 (n = 11840)。通过在重叠关联上调节 FDR,这种统计方法可以提高发现遗传基因座的能力。为了评估我们方法的可信度,我们在更大的 ICV (n = 26577) 和海马体积 (n = 26814) GWAS 样本中研究了确定的基因座。我们观察到 SCZ 与海马体、壳核和 ICV 体积之间存在多基因重叠。基于联合 FDR < 0.05,我们确定了 2 个位于 SCZ 和 ICV 之间的共享基因座,涉及 FOXO3 (rs10457180) 和 ITIH4 (rs4687658),2 个位于 SCZ 和海马体体积之间的共享基因座,涉及 SLC4A10 (rs4664442) 和 SPATS2L (rs1653290),以及 2 个位于 SCZ 和壳核体积之间的共享基因座,涉及 DCC (rs4632195) 和 DLG2 (rs11233632)。在对大脑表型的主要 GWAS 中,位于 SCZ 和海马体体积或 ICV 之间的基因座未达到显著水平。通过证明我们的增加能力的观点,在更大的 GWAS 中,2 个基因座达到了与 ICV(rs10457180) 和海马体体积(rs4664442) 相关的全基因组显著水平。在确定的 6 个基因座中,有 3 个是新的 SCZ 基因座。总的来说,这些发现为 SCZ 与大脑结构体积之间的关系提供了新的见解,表明它们的遗传结构不是独立的。