Wellness

Gene × Sleepiness Interaction in Sleep Apnea: New Genetic Pathways to Excessive Daytime Sleepiness

Summary

A new genome-wide study shows that daytime sleepiness changes how genes influence sleep apnea severity. Researchers found that some genetic variants behave differently in sleepy versus non-sleepy patients, linking fatigue to metabolic and cardiovascular pathways.
In short: for some people, being tired is not just a lifestyle — it’s genetic.

In a groundbreaking genome-wide analysis published in Sleep (2026), researchers investigated how excessive daytime sleepiness (EDS) — that afternoon struggle to keep your eyes open — interacts with genetic variation to influence sleep apnea severity. This study revealed several genetic loci that behave differently depending on whether someone with sleep apnea is sleepy during the day or not. Surprisingly, some of these genes are linked to cardiovascular risk, insulin resistance, thiamine deficiency, and metabolic pathways associated with resveratrol (yes, the same compound health gurus gush about in red wine). Their findings could help tailor precision treatments for distinct sleep apnea subtypes — including the too-sleepy-to-function group.

Study Objective

The authors conducted the first genome-wide gene × environment (G × E) interaction analysis for sleep apnea severity using apnea-hypopnea index (AHI) and EDS scores. They asked a simple but underexplored question: Does being perpetually tired change the genetic architecture of sleep apnea?

Methods in a Nutshell

  • Multi-ethnic data from the Trans-Omics for Precision Medicine (TOPMed) project was used (over 11,600 participants).
  • Both common and rare genetic variants were tested for interaction with EDS scores, with additional replication in nearly 9,000 individuals.
  • Advanced statistical models (1df and 2df gene × EDS tests) teased apart these interactions between genetics and sleepiness.  

Major results

Two Common Genetic Variants Showed Interaction with Sleepiness

  • rs13118183 (near CCDC3)
  • rs281851 (near MARCHF1)
    These common intronic variants were significantly associated with AHI when interacting with EDS — meaning the sleepy version of sleep apnea may have a slightly different genetic fingerprint than the alert version.  

Rare Variant Gene Sets Also Matter

A suite of rare gene sets (like SCUBE2, TMEM26, CORO1A, YY1, and others) showed interaction signals — many of which weren’t previously linked to sleep apnea.

What This Tells Us (with a chuckle)

Genetics is not a one-size-fits-all story — especially in sleep apnea. It looks like some people are genetically predisposed to be both snorers and sleepy messes, while others might snore loudly but still conquer the day without coffee. These genetic signatures also point toward metabolic and cardiovascular pathways that could explain why some sleepy patients end up at higher risk for heart issues.

Why This Matters for GeneFit Readers

Genetics is not a one-size-fits-all story — especially in sleep apnea. It looks like some people are genetically predisposed to be both snorers and sleepy messes, while others might snore loudly but still conquer the day without coffee. These genetic signatures also point toward metabolic and cardiovascular pathways that could explain why some sleepy patients end up at higher risk for heart issues.  

Reference

Nagarajan, P., Kurniansyah, N., Lee, J., Gharib, S. A., Xu, Y., Zhang, Y., Spitzer, B., Faquih, T., Zhou, H., Boerwinkle, E., Chen, H., Gottlieb, D. J., Guo, X., Heard-Costa, N. L., Hidalgo, B. A., Levy, D., Liu, P. Y., Mei, H., Montalvan, R., … Sofer, T., Redline, S., Wang, H. (2026). Genome-wide gene by sleepiness interaction analysis for sleep apnea. Sleep, 49(1), zsaf212. https://doi.org/10.1093/sleep/zsaf212

Disclaimer: The information on this website is for educational purposes only and does not constitute medical advice, diagnosis, or treatment. Content is based on publicly available scientific sources and does not replace consultation with a DHA-licensed healthcare professional. No claims are made that this information can prevent, diagnose, or cure any disease. Individual results may vary. GeneFit Clinics assumes no responsibility for any consequences arising from the use of this information.‍

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