Literature DB >> 30339835

A large-scale integrative analysis of GWAS and common meQTLs across whole life course identifies genes, pathways and tissue/cell types for three major psychiatric disorders.

Yan Zhao1, Xiao Liang1, Feng Zhu2, Yan Wen1, Jiawen Xu3, Jian Yang2, Miao Ding1, Bolun Cheng1, Mei Ma1, Lu Zhang1, Shiqiang Cheng1, Cuiyan Wu1, Sen Wang1, Xi Wang1, Yujie Ning1, Xiong Guo1, Feng Zhang4.   

Abstract

Attention deficit hyperactivity disorder (ADHD), bipolar disorder (BP) and schizophrenia (SCZ) are complex psychiatric disorders. We conducted a large-scale integrative analysis of genome-wide association studies (GWAS) and life course consistent methylation quantitative trait loci (meQTLs) datasets. The GWAS data of ADHD (including 20,183 cases and 35,191 controls), BP (including 7481 cases and 9250 controls) and SCZ (including 36,989 cases and 113,075 controls) were derived from published GWAS. Life course consistent meQTLs dataset was obtained from a longitudinal meQTLs analysis of 1018 mother-child pairs. Gene prioritization, pathway and tissue/cell type enrichment analysis were conducted by DEPICT. We identified multiple genes and pathways with common or disease specific effects, such as NISCH (P = 9.87 × 10-3 for BP and 2.49 × 10-6 for SCZ), ST3GAL3 (P = 1.19 × 10-2 for ADHD), and KEGG_MAPK_SIGNALING_PATHWAY (P = 1.56 × 10-3 for ADHD, P = 4.71 × 10-2 for BP, P = 4.60 × 10-4 for SCZ). Our study provides novel clues for understanding the genetic mechanism of ADHD, BP and SCZ.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Integrative analysis; Methylation quantitative trait loci; Psychiatric disorders

Mesh:

Year:  2018        PMID: 30339835     DOI: 10.1016/j.neubiorev.2018.10.005

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


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