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ABSTRACT: Aims
Previous studies have inferred that there is a strong genetic component in insomnia. However, the etiology of insomnia is still unclear. This study systematically analyzed multiple genome-wide association study (GWAS) data sets with core human pathways and functional networks to detect potential gene pathways and networks associated with insomnia.Methods
We used a novel method, multitrait analysis of genome-wide association studies (MTAG), to combine 3 large GWASs of insomnia symptoms/complaints and sleep duration. The i-Gsea4GwasV2 and Reactome FI programs were used to analyze data from the result of MTAG analysis and the nominally significant pathways, respectively.Results
Through analyzing data sets using the MTAG program, our sample size increased from 113,
SUBMITTER: Liu K
PROVIDER: S-EPMC7658420 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature