Expressive

rs117352467 - RN7SL618P - ZNF646P1

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

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.

Lifestyle context

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

Lifestyle

  • Sleep environment optimization High

    Genetic insomnia predisposition warrants enhanced behavioral interventions including sleep schedule consistency and environment quality

    Dark, cool (65-68F), quiet bedroom; consistent 7-day sleep schedule; no screens 1 hour before bed

Screening

  • Insomnia and sleep disorder evaluation High

    Variant significantly associated with insomnia risk in genome-wide study of 1.2 million people with very high statistical confidence

    Discuss sleep history and current symptoms with healthcare provider

  • Sleep quality and daytime function tracking High

    Elevated baseline insomnia risk requires proactive symptom detection for timely intervention

    Track sleep onset latency, night awakenings, and daytime fatigue on weekly basis