TY - JOUR
T1 - 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
AU - Zhao, Yan
AU - Liang, Xiao
AU - Zhu, Feng
AU - Wen, Yan
AU - Xu, Jiawen
AU - Yang, Jian
AU - Ding, Miao
AU - Cheng, Bolun
AU - Ma, Mei
AU - Zhang, Lu
AU - Cheng, Shiqiang
AU - Wu, Cuiyan
AU - Wang, Sen
AU - Wang, Xi
AU - Ning, Yujie
AU - Guo, Xiong
AU - Zhang, Feng
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - Integrative analysis
KW - Methylation quantitative trait loci
KW - Psychiatric disorders
UR - https://www.scopus.com/pages/publications/85056184085
U2 - 10.1016/j.neubiorev.2018.10.005
DO - 10.1016/j.neubiorev.2018.10.005
M3 - 文献综述
C2 - 30339835
AN - SCOPUS:85056184085
SN - 0149-7634
VL - 95
SP - 347
EP - 352
JO - Neuroscience and Biobehavioral Reviews
JF - Neuroscience and Biobehavioral Reviews
ER -