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Your wearable tracks your sleep.This helps explain part of why.

Wearables show your daily readouts. DNA adds genetic context — alongside caffeine, stress and training load. CircleDNA Premium uses whole-exome sequencing to bring another perspective to your health routine.

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Inside the CircleDNA app

The reports behind your daily readouts.

In the CircleDNA app, explore the genetic traits behind the sleep, nutrition and recovery data you already track.

Sleep & stress
Understand sleep traits and caffeine response when planning your routine.
Diet & nutrition
Review carbohydrate and fat sensitivity, vitamin needs and food sensitivities.
Sports & fitness
Explore endurance, recovery and injury-risk traits alongside your training data.

Genetic predispositions are one input, not a replacement for your wearable or clinical advice.

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CircleDNA app diet report preview
App report preview. Your results are personal to you.
Caffeine metabolismSleep trait markersCarb & fat responseRecovery speedEndurance vs. powerVitamin D needLactose sensitivityDrug response · 105 reportsInjury-risk traitsStress resilience Caffeine metabolismSleep trait markersCarb & fat responseRecovery speedEndurance vs. powerVitamin D needLactose sensitivityDrug response · 105 reportsInjury-risk traitsStress resilience
The wearable gap

You track what changes — add your genetic context.

Sleep score, HRV, glucose and VO₂ max vary with food, stress and training. Your genes are one part of the background to those readouts, not a configuration file that determines them.

Sleep traitsCaffeine metabolismFitness recoveryNutrient needs
Smart ring / watchSleep · HRV · temperature · readiness
Nightly
CGM / blood panelGlucose · lipids · hormones
Weekly · quarterly
Supplement stackDosed on averages
Daily
Your genomeThe genetic baseline every layer sits alongside
Read once · Long-term context
Depth comparison

Beyond pre-selected letters.
Read the protein-coding chapters.

Think of your genome as a book: a microarray checks selected letters; whole-exome sequencing reads the protein-coding chapters, not the whole genome. Run both scans on the same illustrative segment.

ILLUSTRATIVE RESULT · MICROARRAY 6/60 · CIRCLEDNA 60/60
Microarray genotypingPre-selected positions
6illustrative bases read
Checks a fixed list of pre-selected positions. Anything between them is never looked at.
Example variant: MISSEDIllustration: 6 selected positions
CircleDNA · whole-exome sequencingIllumina NovaSeq · Next-Generation Sequencing
60illustrative bases read
Reads protein-coding regions and can identify variants outside pre-selected positions. Actual tests have coverage and detection limits.
Example variant: FOUNDIllustration: 60 bases
ReadSkippedPre-selected checkpointExample variant

Illustrative comparison: these 60 bases represent a protein-coding segment, not the whole genome. Actual coverage and variant detection depend on the test.

Interactive · sample reports

Genetic context for your readouts.

Pick a metric you already track. Explore a related report and possible routine changes to discuss with a professional.

Results and gauge values are illustrative, not validated clinical scores. Reports describe genetic tendencies, not diagnoses or guaranteed outcomes. Interpret them alongside habits, current measurements and professional advice.

Long-term genetic context

Your daily readings change.
Your genetic background is more stable.

Read once. Relevant for life. Inherited genetic information is generally stable, but science and report interpretations evolve. Health decisions still need current context.

Sleep score
Changes nightly

Sensitive to alcohol, travel, training load, a late espresso.

Glucose · HRV · weight
Changes daily

Useful trends to interpret alongside meals, activity and the conditions of each measurement.

Your genome
A long-term reference point

Context for your wearable readouts and routines, not a replacement for current tests. Scientific understanding and interpretations can change.

Reports for everyday routines

From reports to daily life.
Three areas worth exploring.

Nutrition response

Carb & fat sensitivity

Genetic tendencies linked to carbohydrate and saturated-fat response are one factor in understanding dietary differences.

Possible action → Discuss your food diary and whether to adjust your macros with a dietitian.
Sleep traits

Caffeine metabolism & sleep depth

Fast or slow caffeine metabolism, plus genetic markers linked to sleep duration, chronotype and sensitivity to disruption.

Possible action → Try moving your caffeine cut-off to noon and observe your own sleep patterns.
Fitness recovery

Recovery speed & injury risk

Genetic tendencies linked to power, endurance, recovery and soft-tissue injury may contribute to differences in training response.

Possible action → Review recovery days with your coach alongside training load and how you feel.
Find your three
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Read once. Relevant for life.

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