rs11167642 - GRIA1 - LINC01861
Magnitude 2.2 · 1 study on file
Reported associations
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Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways. - Nature genetics (2019) · Jansen PR, Watanabe K, Stringer S, Skene N, Bryois J, Hammerschlag AR, de Leeuw CA, Benjamins JS, Muñoz-Manchado AB, Nagel M, Savage JE, Tiemeier H, White T, Tung JY, Hinds DA, Vacic V, Wang X, Sullivan PF, van der Sluis S, Polderman TJC, Smit AB, Hjerling-Leffler J, Van Someren EJW, Posthuma D · PubMed 30804565
Insomnia is the second most prevalent mental disorder, with no sufficient treatment available. Despite substantial heritability, insight into the associated genes and neurobiological pathways remains limited. Here, we use a large genetic association sample (n = 1,331,010) to detect novel loci and gain insight into the pathways, tissue and cell types involved in insomnia complaints. We identify 202 loci implicating 956 genes through positional, expression quantitative trait loci, and chromatin mapping. The meta-analysis explained 2.6% of the variance. We show gene set enrichments for the axonal part of neurons, cortical and subcortical tissues, and specific cell types, including striatal, hypothalamic, and claustrum neurons. We found considerable genetic correlations with psychiatric tr
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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insomnia genetic risk and sleep screening Moderate
GRIA1 rs11167642 T allele associated with approximately 5.7% increased odds of insomnia diagnosis
discuss sleep quality, sleep history, and whether formal sleep evaluation is warranted at next visit
Lifestyle
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optimized sleep hygiene practices Moderate
GRIA1 variant increases insomnia susceptibility; behavioral sleep optimization may mitigate genetic risk
consistent 10pm-6am sleep schedule, cool (65-68F) dark bedroom, no screens 1 hour before bed
Screening
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insomnia symptoms and sleep quality Moderate
Genetic risk warrants proactive symptom monitoring to detect and address sleep issues early
self-monitor sleep onset latency, nighttime awakenings, and daytime fatigue monthly