Lv Honggang, Li Juan, Gao Kai, Zeng Lingsi, Xue Ranran, Liu Xia, Zhou Cong, Yue Weihua, Yu Hao
Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China.
National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Peking University Sixth Hospital (Institute of Mental Health), Beijing 100191, China.
Psychiatry Res. 2022 Dec;318:114947. doi: 10.1016/j.psychres.2022.114947. Epub 2022 Nov 9.
Patients with schizophrenia (SCZ) frequently exhibit an elevated risk of metabolic syndrome (MetS), which may lead to a worse clinical outcome. Even though these two phenotypes are genetically linked, little is known about their shared genetic determinants. Here, we investigated whether SCZ and MetS share genetic risk factors. To examine the genetic overlap between the two disorders, we applied a comprehensive genetic overlap analysis by integrating GWAS data for SCZ (n = 320,404) and MetS (n = 291,107) at the genome, genetic variants, and gene levels. At the genome level, we observed polygenic overlap between SCZ and MetS by utilizing LDSC (r=-0.09, P = 1 × 10) and GNOVA (rho=-0.04, P = 1.39 × 10) analysis. At the SNP level, we performed conjunctional FDR (conjFDR) analysis to identify genetic variants simultaneously associated with two phenotypes. Based on conjFDR < 0.05, we identified 22 loci shared between SCZ and MetS. At the gene level, we further demonstrated that SCZ- and MetS-inferred gene expression overlapped across 49 GTEx tissues and highlighted the PCCB and KCTD13 genes as putative mediators of the genetic association. Overall, these findings shed novel light on the association between SCZ and MetS, and potentially enhance our knowledge of the high comorbidity and genetic processes that overlap between the two disorders.
精神分裂症(SCZ)患者经常表现出代谢综合征(MetS)风险升高,这可能导致更差的临床结果。尽管这两种表型在基因上存在关联,但对它们共同的遗传决定因素知之甚少。在这里,我们研究了SCZ和MetS是否共享遗传风险因素。为了检验这两种疾病之间的遗传重叠,我们通过整合SCZ(n = 320,404)和MetS(n = 291,107)在基因组、基因变异和基因水平的全基因组关联研究(GWAS)数据,进行了全面的遗传重叠分析。在基因组水平上,我们利用LDSC(r = -0.09,P = 1×10)和GNOVA(rho = -0.04,P = 1.39×10)分析观察到SCZ和MetS之间的多基因重叠。在单核苷酸多态性(SNP)水平上,我们进行了联合错误发现率(conjFDR)分析,以识别同时与两种表型相关的基因变异。基于conjFDR < 0.05,我们确定了SCZ和MetS之间共享的22个基因座。在基因水平上,我们进一步证明,SCZ和MetS推断的基因表达在49个基因型组织表达数据库(GTEx)组织中重叠,并突出显示PCCB和KCTD13基因是遗传关联的假定介质。总体而言,这些发现为SCZ和MetS之间的关联提供了新的线索,并可能增强我们对这两种疾病之间高共病性和重叠遗传过程的认识。