Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets.

With the development of high-throughput genotyping technologies and the increase in sample size, numerous highly significant genetic variants among more than 200 genomic loci have been identified to be associated with insomnia by using the GWAS approach [ 13–17 ].

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