CLOCK gene variants influence the period length of the circadian clock and morningness-eveningness preference. PER2 mutations are among the best-characterized causes of familial advanced sleep phase syndrome. Together, these variants define an individual's biological sleep timing preference — the genetic reality behind being a "night owl" or "early bird."
The G22A variant in ADA (adenosine deaminase) affects adenosine metabolism — the primary driver of sleep pressure accumulation. The G/G genotype associates with deeper, more consolidated non-REM sleep. A/A carriers have lower adenosine deaminase activity, slower sleep pressure dissipation, and different daytime alertness patterns.
CYP1A2 determines how quickly caffeine is metabolized. Fast metabolizers (AA) clear caffeine in 3–5 hours; slow metabolizers (AC/CC) in 7–10 hours or more. This directly determines the appropriate caffeine cutoff time for sleep protection — one of the most actionable single-variant findings in consumer genomics.
ASMT variants affect the last enzymatic step in melatonin biosynthesis — determining endogenous melatonin output. MTNR1B (melatonin receptor 1B) variants affect glucose metabolism and circadian glucose regulation. Together, these genes inform both supplemental melatonin timing and dose responsiveness.
Elevated nighttime cortisol is a primary disruptor of sleep initiation and maintenance. FKBP5 variants that affect HPA axis reactivity can drive elevated evening cortisol — explaining why certain individuals struggle with racing thoughts and sleep onset despite good sleep hygiene practices.
Rare variants in DEC2 produce the natural short sleep phenotype — individuals who function optimally on 6 hours or fewer with no cognitive impairment or health consequences. While uncommon, identifying this genotype explains a significant source of confusion in sleep recommendations for a subset of users.
A structured biological chronotype — based on CLOCK, PER2, ARNTL, and related circadian variants — that determines optimal sleep and wake timing, peak cognitive performance windows, and exercise timing for sleep quality.
CYP1A2 genotype-specific caffeine timing guidance — one of the most straightforward and high-impact personalizations in sleep genomics. Slow metabolizers following fast-metabolizer caffeine guidelines are systematically damaging their sleep quality.
Melatonin timing and dose based on ASMT and MTNR1B genotype, magnesium form and timing, L-theanine for stress-driven sleep disruption, and adaptogen protocols for FKBP5-driven cortisol dysregulation — genotype-matched sleep supplementation.
Sleep architecture genetics connected to the fitness and training domain — ensuring that recovery windows, training timing, and sleep quality interventions are coherent with the user's full genomic profile, not siloed domain recommendations.
Whether you're building a sleep tracking app, a recovery product, or a holistic wellness platform — tell us how you're thinking about personalization and we'll show you what genomics adds.