Publication Type Journal Article
Title Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia
Authors Yan Zhao Awen He Feng Zhu Miao Ding Jingcan Hao Qianrui Fan Ping Li Li Liu Yanan Du Xiao Liang Xiong Guo Feng Zhang Xiancang Ma Seth Knight Kathryn Obrien
Groups G3 G2
Journal PROGRESS IN NEURO-PSYCHOPHARMACOLOGY \& BIOLOGICAL PSYCHIATRY
Year 2018
Month February
Volume 81
Number
Pages 50-54
Abstract Schizophrenia is a serious mental disease with high heritability. To better understand the genetic basis of schizophrenia, we conducted a large scale integrative analysis of genome-wide association study (GWAS) and expression quantitative trait loci (eQTLs) data. GWAS summary data was derived from a published GWAS of schizophrenia, containing 9394 schizophrenia patients and 12,462 healthy controls. The eQTLs dataset was obtained from an eQTLs meta-analysis of 5311 subjects, containing 923,021 cis-eQTLs for 14,329 genes and 4732 trans-eQTLs for 2612 genes. Genome-wide single gene expression association analysis was conducted by SMR software. The SMR analysis results were further subjected to gene set enrichment analysis (GSEA) to identify schizophrenia associated gene sets. SMR detected 49 genes significantly associated with schizophrenia. The top five significant genes were CRELD2 (p value = 1.65 x 10(-11)), DIP2B (p value = 3.94 x 10(-11)), ZDHHC18 (p value = 1.52 x 10(-10)) and ZDHHC5 (p value = 7.45 x 10(-10)), C11ORF75 (p value = 3.70 x 10(-9)). GSEA identified 80 gene sets with p values < 0.01. The top five significant gene sets were COWLING\_MYCN\_TARGETS (p value < 0.001) and CHR16P11 (p value < 0.001), ACTACCT\_MIR196A\_MIR196B (p value = 0.002), CELLULAR\_COMPONENT\_DISASSEMBLY (p value = 0.002) and GRAESSMANN RESPONSE TO MC AND DOXORUBICIN DN (p value = 0.002). Our results provide useful information for revealing the genetic basis of schizophrenia.
DOI http://dx.doi.org/10.1016/j.pnpbp.2017.10.003
ISBN
Publisher
Book Title
ISSN 0278-5846
EISSN 1878-4216
Conference Name
Bibtex ID ISI:000414901100006
Observations
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