Nothing here means you need to panic, change treatment, or request urgent care from DNA alone.
A practical guide to the parts of your DNA that may be worth checking, tracking, or simply keeping in the background.
Inside: your bottom line, a small starter plan, a GP-ready summary, and a full transparency library if you want the details. The point is not to make your DNA feel dramatic; it is to help you know what to do with it.
Focused on insights most relevant to your health and life stage.
Curated with robust evidence and genomic science.
Clear practical guidance you can discuss with your clinician.
Transparent about what we report and what we intentionally exclude.
Use this as a map. Start with the required steps, then open optional detail only when it helps.
Nothing here means you need to panic, change treatment, or request urgent care from DNA alone.
Use symptoms, family history, previous results, and routine markers such as liver, glucose, lipids, iron/B12, thyroid, or vitamin D where relevant.
Start with three small experiments: prioritised actions that could be most impactful for you, with the option to swap in others.
Keep the GP brief and medication notes for clinician or pharmacist discussions. They are context, not instructions.
This report is a prioritisation map. It helps sort your DNA into a more useful order: tendencies you may already recognise, simple actions that may suit your biology, and a smaller set of things worth checking with blood tests, measurements, symptoms, or clinician input.
A higher percentile means your inherited signal is higher than most people in the comparison population. It is not a diagnosis. The most useful interpretation comes from combining your DNA with real-life evidence: how you feel, what runs in your family, what your blood tests show, and what changes when you try sensible everyday levers.
You have 12 health areas with lower signal, 27 appear typical or steady, with 16 areas worth checking against real life.
This is the handoff from summary to action: use the small steps that fit real life, and ignore the rest for now.
These are the health-area findings most likely to change what you try, check, or save for care conversations.
Tests only matter when symptoms, family history, or measured context points the same way.
Personalisation inputs. This ordering uses your DNA signal pattern, age/sex context, report region, actionability, and safety boundaries. Symptoms, labs, family history, medications, and goals still decide what matters now.
Open doctor notes and blood-test follow-upsThese selected levers are the experiment for the next 14 days. Use the swap drawer only if you need a better fit, not as extra homework.
Open a card only when you want the detail. Each habit has one cue, one tiny version, and a clear stop-or-escalate boundary.
These are prefilled from your report. Keep the light plan unless a card genuinely does not fit your day.
Chosen for safety fit, evidence strength, relevance to your report signals, repeatability, and low friction.
This is enough for the next two weeks. The swap-in drawer is optional.
Select one or more levers from the swap-in drawer below to build a printable 14-day tracker.
Low friction and easy to trial.
Moderate setup with meaningful compounding.
Higher effort, larger potential payoff.
No everyday levers match those filters. Clear one filter to widen the view.
How to use this. Genetics prioritises experiments; measured results, symptoms, preferences, and clinician judgement decide what matters now.
High inherited LDL-C signal. This makes an ApoB-inclusive lipid panel more worth doing.
Linked to: Measure the lipid particle layerGlucose-control cluster. Your DNA points toward higher type 2 diabetes susceptibility.
Linked to: Confirm the glucose and HbA1c patternHigher inherited HbA1c signal. The useful question is whether this shows up in measured HbA1c and fasting glucose.
Linked to: Confirm the glucose and HbA1c patternHeart-muscle context. A common-variant signal is not a cardiomyopathy diagnosis, but family history and symptoms can make it
Higher inherited ApoB signal. ApoB helps show the number of atherogenic particles better than a headline cholesterol value alone.
Linked to: Measure the lipid particle layerAllergy-route context. The signal matters most if symptoms line up with seasonal, dust, animal, mould, food, asthma, eczema, or family-history patterns.
Autoimmune-context signal. This is not a lupus diagnosis; it is only useful if symptoms, family history, or abnormal routine tests point toward autoimmune review.
Immune and inflammatory back-pain context. This signal belongs with immune/joint history, not rare-sensory findings.
Airway-symptom route finder. The DNA signal is useful when wheeze, cough, exercise limitation, nocturnal symptoms, allergy, reflux, infections, or family history line up.
Linked to: Let symptoms choose the gut-testing routeHigher inherited signal for Irritable bowel syndrome; measured phenotype decides whether that signal is showing up now.
Linked to: Let symptoms choose the gut-testing routeHigher inherited signal for Ulcerative colitis; measured phenotype decides whether that signal is showing up now.
Linked to: Let symptoms choose the gut-testing routeHigher inherited signal for Inflammatory bowel disease; measured phenotype decides whether that signal is showing up now.
Linked to: Let symptoms choose the gut-testing routeStress-sensitivity context. This signal is useful only when current symptoms, sleep, caffeine, alcohol, workload, or family history point the same way.
Attention and executive-function context. The DNA signal is not an ADHD diagnosis; it is a prompt to look at current function and modifiable contributors.
Mood-vulnerability context. The useful question is current mood, sleep, activity, social withdrawal, medicines, alcohol, and life stress - not DNA in isolation.
Eye-exam prompt. A higher glaucoma PRS is most useful as a reason to keep optometry or ophthalmology checks
Skin-and-hormone context. A higher acne signal is not urgent; it helps explain tendency only alongside current severity, scarring risk, medications, hormones, and skin-care tolerance.
Higher inherited signal for Osteoporosis; measured phenotype decides whether that signal is showing up now.
Linked to: Match training levers to injury contextHeadache-pattern context. Genetics is useful only when it sharpens a diary of attacks, aura, sleep, caffeine, alcohol, hormones, stress, training load, and medication use.
Use this for doctor notes, routine blood-test follow-ups, and care conversations. It is not a diagnosis, urgent-care request, or medication instruction.
| Area | Priority | What to check | Why now | When it matters |
|---|---|---|---|---|
| Use low-regret metabolic levers first | Medium | Use measured lipids, glucose/HbA1c, waist/body-composition trend, blood pressure, sleep, alcohol, and activity baseline to choose the first lever. |
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Borderline or high measured markers make the levers higher priority; normal markers let this stay as prevention maintenance. |
| Measure the lipid particle layer | High | ApoB-inclusive lipids: ApoB, LDL-C, non-HDL-C, triglycerides, and one measured Lp(a). |
|
High ApoB, LDL-C, non-HDL-C, triglycerides, or Lp(a) should guide prevention intensity with your GP; normal results keep the DNA signal in context. |
| Confirm the glucose and HbA1c pattern | High | HbA1c plus fasting glucose; interpret discordance with iron, B12, red-cell indices, recent illness, training load, sleep, and medication context. |
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Borderline or high measured values move this into prevention planning; discordant values should be interpreted before drawing conclusions. |
| Let symptoms choose the gut-testing route | High | Track stool pattern, urgency, blood or mucus, nocturnal symptoms, pain, reflux, food timing, NSAID/PPI/antibiotic exposure, and family history for two weeks. |
|
Blood, weight loss, nocturnal symptoms, anaemia, strong family history, or severe/progressive symptoms should move this from tracking to GP/GI review. |
| Match training levers to injury context | Medium | Current activity baseline, pain, injury history, recovery, sleep, resting HR/HRV, strength work, and any chest pain, fainting, or severe breathlessness. |
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Red-flag exercise symptoms or significant injury pause self-experimentation; good recovery supports gradual strength or aerobic progression. |
| PGx medication fileVariants affecting response to drugs | Conditional | See the medication notes panel below for matching medicine triggers and when to use them. |
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Keep as a record-for-later note; do not change medicines from this report alone. |
Three themes stand out. First, measure the lipid particle layer. Second, confirm the glucose and HbA1c pattern. Third, gut genetics should be interpreted through symptoms and family history.
Discuss or book checks only if symptoms, abnormal previous blood tests, strong family history, medication questions or persistent fatigue make them relevant: lipid/glucose markers, liver markers/exposures, iron/B12/folate/thyroid context, blood pressure, waist/body-composition trend, and symptom logs where relevant.
Family history, current medicines and supplements, symptoms, alcohol pattern, diet, sleep, training load, and previous adverse drug reactions provide essential context.
9 prescribing contexts are present; use them only when a matching medicine is being chosen or reviewed.
I have a DNA report that is not diagnostic. It suggests a few areas to check against real-world context. Could we review whether any routine blood tests or symptom history are relevant?
These are record-for-later pharmacogenomic and exposure-response notes. They matter when a matching medicine is being started, stopped, switched, dose-adjusted, or reviewed for side effects.
Do not start, stop, switch, or dose-adjust medication from this report without the prescribing clinician or pharmacist.
This is the methods receipt. It explains how the report was assembled, not a task list.
We screened many possible signals, but most do not become action items. A finding only moves forward when it has a plausible link to a real-world check, a safe everyday lever, a medication note, or a clinician conversation.
PRS percentiles, detected and not-detected marker calls, PGx contexts, HLA contexts where callable, evidence links, actionability, redundancy, and safety boundaries.
This is not diagnostic testing, whole-genome clinical variant interpretation, current lab testing, symptom assessment, medication review, or a substitute for formal screening pathways.
Use the report as a prioritisation map. Measured results, symptoms, family history, medication context, and clinician judgement decide what changes now.
Traits and variants are ranked by actionability, inherited signal, value beyond ordinary biomarkers, validation, ancestry portability, redundancy, and safety. That keeps the report focused on useful context rather than every possible genetic association.
Your DNA is harmonised to a modern genome build, imputed against high-coverage reference data, and mapped with LD-aware polygenic scoring approaches that account for the way nearby variants travel together.
We look for the biological and practical routes that make a score usable: relevant biomarkers, symptoms, family-history questions, clinician conversations, and everyday levers.
The current build uses 29,169 recommendation mappings, 10,062 mechanism concepts, and 66,438 report-reference records to connect traits to biomarkers, clinician discussion points, safety notes, and low-harm next steps.
These methods support interpretation and prioritisation. They do not diagnose conditions or replace medical care.
This signal map groups findings by health area so you can browse by concern without treating every row as a task.
Scores balance signals from component traits based on health relevance, DNA-score strength, evidence confidence, your percentile, age relevance, how common or serious the trait is, and overlap with related traits.
3 contributing findings. Open any finding below to jump to its full result.
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Weighted by health relevance, genetic predictiveness, evidence quality, result confidence, age relevance, background frequency, redundancy, and distance from the reference average. Lower signal is not immunity. Higher signal is not diagnosis.
Small provenance check for what went into this report.