Identification of genetic loci that overlap between schizophrenia and metabolic syndrome

全基因组关联研究 遗传学 遗传关联 生物 SNP公司 基因 遗传建筑学 表型 代谢综合征 等位基因 遗传变异 单核苷酸多态性 计算生物学 基因型 内分泌学 肥胖
作者
Honggang Lv,Juan Li,Kai Gao,Lingsi Zeng,Ranran Xue,Xia Liu,Cong Zhou,Weihua Yue,Hao Yu
出处
期刊:Psychiatry Research-neuroimaging [Elsevier BV]
卷期号:318: 114947-114947 被引量:7
标识
DOI:10.1016/j.psychres.2022.114947
摘要

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 (rg=-0.09, P = 1 × 10-4) and GNOVA (rho=-0.04, P = 1.39 × 10-8) 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.
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