Sleep Apnea Risk and Your Genetics

Sleep apnea is a breathing disorder in which the airway repeatedly narrows or closes during sleep, causing fragmented rest and reduced blood oxygen, with genetics contributing meaningfully to who develops the condition.[¹] A large multi-ancestry genome-wide study identified genetic loci linked to sleep apnea risk — including variants near FTO, ETV5, SLC39A8, and TMEM18 — across 635,969 participants.[¹] Below: how these genes affect airway biology and metabolism, the evidence base, and what research suggests about managing elevated risk.

What is sleep apnea?

Sleep apnea describes a group of conditions in which breathing repeatedly stops and restarts during sleep. The most common form, obstructive sleep apnea (OSA), occurs when the muscles supporting the soft tissue at the back of the throat relax too much, allowing the airway to partially or fully collapse. This may happen dozens or hundreds of times per night, briefly rousing the person enough to resume breathing — often without conscious awareness. The cumulative result is fragmented, unrestorative sleep and repeated drops in blood oxygen.

Established physical risk factors include excess body weight, male sex assigned at birth, older age, and certain airway anatomical features. But genetics contributes an independent layer of risk: even among people with similar physical characteristics, inherited variation shapes individual likelihood of developing sleep apnea. Research across large, diverse populations is now identifying specific genes that contribute to this inherited component.

The consequences of untreated sleep apnea extend well beyond disrupted sleep. Repeated nighttime oxygen dips and cardiovascular arousal place sustained stress on the heart and blood vessels. Long-term studies have associated untreated obstructive sleep apnea with elevated rates of high blood pressure, heart rhythm irregularities, and metabolic conditions including insulin resistance.

The genetics behind sleep apnea

The genetic landscape of sleep apnea spans multiple biological pathways, reflecting the condition's origins in body composition, airway tissue regulation, metabolic health, and systemic inflammation.

FTO (fat mass and obesity-associated gene) is the most widely replicated common-variant gene for higher body weight across large population studies. FTO's nuclear protein belongs to the AlkB-related non-haem iron and 2-oxoglutarate-dependent oxygenase superfamily, though its precise physiological function in adiposity regulation continues to be characterized. Common variants near FTO associate consistently with higher body mass index across diverse ancestries. Since excess body weight — particularly adipose deposition around the pharyngeal airway — is one of the strongest drivers of obstructive sleep apnea, the FTO signal in sleep apnea genetics reflects this metabolic pathway directly.[¹]

ETV5 (ETS variant transcription factor 5) encodes a transcription activator with RNA polymerase II-specific DNA-binding activity, meaning it switches on gene expression programs in cells responding to developmental and metabolic cues. ETV5 is involved in cellular responses across multiple tissue types relevant to energy regulation and metabolic signaling. Its identification as a sleep apnea-linked gene in large-scale multi-ancestry research suggests contributions to the metabolic biology that intersects with airway physiology and body composition.[¹]

SLC39A8 (solute carrier family 39 member 8) encodes a glycosylated zinc transporter found at the plasma membrane, belonging to the SLC39 solute-carrier family. Zinc transport is essential for numerous cellular processes including immune signaling, neuronal function, and inflammatory pathway modulation — pathways relevant to airway tissue biology and the systemic inflammatory state associated with chronic sleep apnea. Common variants in SLC39A8 have been associated with multiple metabolic and neurological traits in large-scale studies.[¹]

TMEM18 (transmembrane protein 18) encodes a brain-expressed transmembrane protein concentrated in hypothalamic regions involved in energy regulation. The strongest common variant signal near TMEM18 on chromosome 2 has been consistently identified in research on body weight and metabolic phenotypes. Through its role in hypothalamic energy circuitry, TMEM18 may influence body composition in ways that independently affect sleep apnea susceptibility via the weight-airway pathway.[¹]

The genetic architecture of sleep apnea as revealed through these signals spans metabolic regulation (FTO, TMEM18), transcriptional control of energy-responsive programs (ETV5), and zinc-dependent cellular signaling (SLC39A8) — reflecting the condition's multifactorial biological origins rather than a single causal pathway.

635,969 participants across multiple ancestry groups contributed to the genome-wide analysis identifying genetic signals for sleep apnea — one of the largest multi-ancestry genomic studies conducted, enabling detection of loci missed in European-only studies.^[¹]

What the research says

Research base: Robust. Sleep apnea has a well-documented genetic component, with multiple loci identified across large, ancestry-diverse analyses.

Verma et al. (2024) analyzed genetic associations across 2,068 traits in 635,969 participants in the VA Million Veteran Program — one of the most ancestry-diverse genetic studies in history. Sleep apnea was among the traits analyzed, with multiple significant genetic loci identified, including signals near FTO, ETV5, SLC39A8, and TMEM18 among others.[¹]

13,672 genomic risk loci identified across 2,068 traits in this study, with 1,608 loci only reaching significance after including non-European populations — underscoring why ancestry diversity matters for identifying the full genetic landscape of conditions like sleep apnea.^[¹]

The multi-ancestry design of the VA Million Veteran Program study is particularly valuable for a condition like sleep apnea, which varies in prevalence and clinical presentation across ancestry groups. Single-ancestry studies systematically miss variants that are common in some populations but rare in others. The study's scale enabled discovery of signals that would have been invisible to smaller or less diverse cohorts.[¹]

The presence of FTO and TMEM18 among sleep apnea genetic signals reinforces the recognition that obesity-related genetics is integral to sleep apnea biology — not merely a co-occurring risk factor. ETV5 and SLC39A8 add distinct mechanistic dimensions involving transcriptional regulation and zinc-dependent inflammatory pathways.

How sleep apnea affects you

Untreated sleep apnea carries consequences across cardiovascular, metabolic, and cognitive systems. The repeated cycles of oxygen reduction and cardiovascular arousal during apnea events place cumulative strain on the heart and blood vessels. Long-term studies have linked untreated obstructive sleep apnea to elevated rates of high blood pressure, atrial fibrillation, stroke, and insulin resistance.

Daytime effects include fatigue, slowed reaction time, and difficulty with sustained attention and working memory — consequences that affect workplace performance and safety, particularly for people in transportation or equipment-operation roles. Mental health effects, including higher rates of depression and anxiety, co-occur with sleep apnea at rates that exceed chance.

Body weight, sleep position, alcohol use, and airway anatomy all interact with genetic susceptibility. Two people with similar genetic profiles may have substantially different clinical courses depending on these modifiable factors. For people whose genetic background includes variants near FTO or TMEM18 — genes linked to body weight regulation — metabolic management is especially relevant to sleep apnea risk across the lifespan.

Working with your sleep apnea profile

Known modifiers and practical steps supported by research

Weight management has the largest documented impact on severity — even modest weight loss of 5–10% can measurably reduce nighttime breathing disruptions in people with weight-related sleep apnea; the FTO and TMEM18 genetic background makes this pathway especially relevant.
Sleeping on one side (lateral position) rather than the back reduces gravity's contribution to airway collapse; positional therapy is a documented adjunct strategy for some people.
Alcohol and sedatives relax pharyngeal muscles — their use in the hours before sleep worsens airway obstruction even in people who would not otherwise meet criteria for sleep apnea.
Formal sleep evaluation is the necessary first step — genetic information cannot substitute for a clinical sleep study (polysomnography or validated home-based test); symptoms including snoring, witnessed breathing pauses, or persistent daytime sleepiness are indications to pursue evaluation.
CPAP therapy, when clinically indicated, is the most effective intervention for moderate-to-severe obstructive sleep apnea, with improvements in daytime function, blood pressure, and cardiovascular markers documented in long-term treated cohorts.
Metabolic monitoring matters for this genetic profile — for people with FTO and TMEM18 genetic backgrounds linked to higher body weight tendency, proactive attention to weight, insulin sensitivity, and metabolic health addresses pathways that intersect directly with sleep apnea susceptibility.

Sleep apnea shares meaningful genetic and biological overlap with several related traits:

Obesity and BMI Genetic Risk — FTO and TMEM18 are shared loci in both conditions
Insomnia Risk — sleep architecture disruption; overlapping category
Restless Legs Syndrome Genetics — sleep disorder co-occurrence and shared neural pathways

Cross-category:

Cardiovascular Disease Risk — sleep apnea is an independent cardiovascular risk modifier; overlapping genetic pathways
Blood Pressure Regulation — hypertension frequently co-occurs with and is exacerbated by untreated sleep apnea

See how FTO variants influence body weight and metabolism.

See our methodology page for how ExomeDNA evaluates genetic evidence.

Frequently asked questions

Is sleep apnea hereditary? Sleep apnea has a measurable heritable component. Large multi-ancestry genome-wide studies have identified genetic variants linked to sleep apnea risk at multiple loci, including those near FTO, ETV5, SLC39A8, and TMEM18. Family history of sleep apnea is associated with elevated risk in relatives, and genome-wide research confirms that inherited differences in metabolic regulation, body composition, and airway physiology contribute to this familial clustering.[¹]

What role does FTO play in sleep apnea? FTO is the gene most consistently associated with higher body weight across large population studies. Common variants near FTO associate with higher body mass index, and since excess body weight — particularly fat deposition around the pharyngeal airway — is one of the strongest drivers of obstructive sleep apnea, FTO variants that increase weight tendency also appear as genetic signals in sleep apnea research. This illustrates how genetic risk for one trait (higher body weight tendency) translates into elevated risk for a downstream condition through a shared biological mechanism.[¹]

How does SLC39A8 connect to sleep apnea? SLC39A8 encodes a zinc transporter found at the plasma membrane. Zinc is essential for numerous cellular functions including immune regulation and inflammatory signaling — pathways that interact with airway tissue biology and the systemic inflammation associated with chronic sleep apnea. Common variants in SLC39A8 have been identified in large-scale multi-ancestry research across a range of metabolic and inflammatory traits, and its presence in the sleep apnea genetic landscape points toward a role in the inflammatory biology of the condition.[¹]

Can sleep apnea be detected with a genetic test? Genetic testing captures variants across the genome, including those near loci associated with sleep apnea. An ExomeDNA analysis provides information about your genetic profile across these and many other traits. However, genetic information indicates susceptibility — it does not confirm whether obstructive sleep apnea is actually present. A formal sleep study (polysomnography or validated home-based test) is the only way to clinically confirm the condition.

Does sleep apnea risk increase with age and weight? Yes — sleep apnea prevalence increases with age due to progressive changes in muscle tone, airway anatomy, and body composition. Genetic susceptibility sets a biological baseline, while these age-related changes interact with it to shift the threshold at which sleep apnea manifests clinically. For people with genetic backgrounds linked to higher weight tendency (FTO, TMEM18), compounding effects as body composition changes with age are especially relevant, making proactive metabolic management a meaningful strategy.[¹]

References

[1] Verma A, et al. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science. 2024 Jul. PMID: 39024449.

Data sources:

GWAS Catalog (NHGRI-EBI, accessed 2026-05-29)
Open Targets Platform (CC0 1.0, accessed 2026-05-29)
ClinVar (NCBI, accessed 2026-05-29) — entries at ≥2-star review status
ClinGen Gene-Disease Validity (CC0 1.0, accessed 2026-05-29)

See our methodology page for how ExomeDNA assesses genetic evidence.

By the ExomeDNA Research Team

Browse all traits →