Expressive

rs115179220 - LINC01798

Magnitude 2.2 · 1 study on file

Reported associations

  • Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. - Nature genetics (2022) · Watanabe K, Jansen PR, Savage JE, Nandakumar P, Wang X, Hinds DA, Gelernter J, Levey DF, Polimanti R, Stein MB, Van Someren EJW, Smit AB, Posthuma D · PubMed 35835914

    Insomnia is a heritable, highly prevalent sleep disorder for which no sufficient treatment currently exists. Previous genome-wide association studies with up to 1.3 million subjects identified over 200 associated loci. This extreme polygenicity suggested that many more loci remain to be discovered. The current study almost doubled the sample size to 593,724 cases and 1,771,286 controls, thereby increasing statistical power, and identified 554 risk loci (including 364 novel loci). To capitalize on this large number of loci, we propose a novel strategy to prioritize genes using external biological resources and functional interactions between genes across risk loci. Of all 3,898 genes naively implicated from the risk loci, we prioritize 289 and find brain-tissue expression spec

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Lifestyle context

Concrete actions anchored to the cited research. We do not prescribe, we describe.

Diet

  • Caffeine after 2pm Moderate

    Caffeine sensitivity may be heightened in individuals genetically predisposed to insomnia

    Limit caffeinated beverages to morning hours

Lifestyle

  • Consistent sleep schedule Moderate

    Sleep regularity and circadian alignment are protective against insomnia in genetically susceptible individuals

    Maintain same bedtime and wake time daily including weekends

Screening

  • Insomnia screening discussion Moderate

    rs115179220 is associated with increased insomnia susceptibility; screening enables early intervention

    Discuss sleep quality, latency, and daytime effects at next healthcare visit

  • Sleep pattern tracking Moderate

    Genetic predisposition to insomnia warrants proactive monitoring for early detection

    Track sleep duration and quality 2-3 times weekly