What to do with a genetic report: from data to decisions

A genetic report may contain dozens or hundreds of indicators, ranging from sleep characteristics, eating behaviour and physical activity to genetic predispositions associated with changes in specific biomarkers or health conditions. But a large number of results does not mean that you should immediately change your diet, training, supplements, or undergo additional tests after receiving the report.

Different genetic indicators call for different next steps. Some help you better understand your physiological characteristics and may be useful for everyday decisions. Others should be considered alongside laboratory results, symptoms, medical history, or discussed with a doctor. Some findings may simply remain useful context for the future.

Practical work with a report therefore does not begin by looking for the “worst” result or trying to check whether genetics has “proven true.” First, you need to understand what the result actually describes, how relevant it is to your goal, and what additional information is needed for correct interpretation. Only then can you determine whether a specific action, observation, or consultation is appropriate.

For an explanation of how a genetic test differs from a blood test, see DNA test vs blood test: what is the difference.

What a genetic report can tell you — and what not to expect from it

A genetic test analyses genetic variants associated with lifestyle-related traits and physiological differences. These may include associations with chronotype, taste perception, response to physical activity, eating behaviour, or levels of certain biomarkers in population studies.

Such a report does not measure how you slept last night, whether you currently have a vitamin deficiency, or how well a particular training programme is working. It shows a genetic predisposition or characteristic whose meaning should be considered together with your current state, lifestyle, and other data.

A more useful question is therefore not “Did my result turn out to be true?” but “What does this genetic result mean for me, and what additional information do I need to take it into account correctly?”

Step 1. Choose two or three priorities

Start with your goal, not with the brightest colour in the report. If you are interested in sleep, you do not need to study the endurance, nutrition, and skin sections at the same time. Narrowing the focus helps separate curiosity from a practical need.

Consider the following characteristics of the trait:

• Relevance. The indicator relates to your current goal, question, physiological characteristic, or area of health that you want to understand better.

• Practical significance. It is clear whether the result could influence observation, additional measurements, an everyday habit, or a decision you are already considering.

• Safety of the next step. If the result suggests an action, it should not require independently changing medication, taking high-dose supplements, imposing strict dietary restrictions, or making other medical interventions.

Keep the remaining indicators as information you can return to later. A large report does not require a large number of simultaneous changes.

Step 2. Find out what the indicator actually means

Before deciding what to do with a result, clarify four things:

1. What was actually studied: a predisposition to a particular behaviour, the average level of a biomarker, an athletic characteristic, or another trait.

2. Direction of effect: whether the result is associated with a higher, lower, or typical value relative to the comparison group.

3. Reference population: which population the model was developed for and how closely it matches your ancestry.

4. Magnitude and limits of the effect: how strong the association is and which other factors may have a greater influence.

A percentile or colour category without this context is of limited use when choosing an action. Even a statistically robust association may have only a small effect for an individual.

Step 3. Compare the genetic result with your own data

DNA and the genetic predisposition calculated from it do not change with your daily routine or diet. The actual expression of a trait, however, depends on many factors — age, environment, habits, health status, and other characteristics.

• For sleep: sleep onset time, duration, awakenings, daytime sleepiness, work schedule, and caffeine intake.

• For nutrition: your actual diet, hunger and satiety, food tolerance, and laboratory-confirmed deficiencies.

• For physical activity: training frequency, workload, recovery, injuries, and progress in the chosen metric.

• For stress and recovery: subjective well-being, resting heart rate, work schedule, sleep, and available recovery time.

If a genetic result does not match what you observe, that does not mean that one of them is wrong. Genetic predisposition describes one contributing factor, while the actual expression of a trait is shaped by many genetic and non-genetic factors.

Step 4. Determine what next step the result requires

Not all genetic results lead to the same action. For some, it is enough to take a physiological characteristic into account in everyday life; for others, it is important to compare the genetic predisposition with laboratory or clinical data. Some indicators may require no changes now and can remain useful context for the future.

After interpreting a result, identify which of these scenarios it belongs to.

If the result concerns a physiological or behavioural characteristic

Results related, for example, to chronotype, caffeine response, eating behaviour, exercise characteristics, or recovery can sometimes be taken into account without medical intervention. In that case, the next step may be observation or one safe change whose effect can be assessed over time.

The genetic result does not determine which specific change will necessarily work. It adds personal context that can help you decide what is worth paying attention to.

If the result concerns a biomarker or disease risk

A genetic predisposition to differences in a biomarker level does not show its current value, and a genetic predisposition to a disease does not establish a diagnosis or, on its own, determine an individual's probability of developing it. In such cases, the practical significance of the result depends on other information — age, family history, symptoms, laboratory results, and other risk factors.

This is where involving a doctor or deciding whether additional examinations are needed may be appropriate.

How genetic risk relates to clinical risk

If a result concerns disease risk, it is important to distinguish between genetic and clinical risk assessment. A genetic result may indicate that inherited predisposition is higher or lower relative to a reference population. But on its own it does not determine the absolute probability that a particular condition will develop in a specific person over a defined period. Polygenic scores may complement risk prediction in certain clinical scenarios, but their clinical utility and method of integration depend on the specific disease and a validated model (Schunkert et al., Eur. Heart J., 2025).

For clinical risk assessment, a doctor considers multiple factors together: age, sex, family history, symptoms, blood pressure, smoking, body weight, comorbidities, medication, and laboratory results. For some diseases, validated models estimate absolute risk over a defined period. Genetic data can form part of such an assessment only when the specific model is designed to use them.

For example, in cardiovascular medicine, the PREVENT equations estimate 10- and 30-year cardiovascular event risk using a combination of clinical, metabolic, and kidney-related measures. PRS is not included among the standard predictors in this model, so a genetic result cannot simply be entered into the calculator or converted into a personal percentage risk (Khan et al., Circulation, 2024).

A useful outcome of a consultation is to understand where genetic predisposition fits among other risk factors, whether it changes subsequent actions, and which data are genuinely worth monitoring.

When a genetic result should be complemented by laboratory data

If a genetic result concerns the level of a biomarker or a process that can be assessed in the laboratory, testing may help clarify the current state. However, a separate test should not automatically be ordered for every item in a genetic report. Whether a test is appropriate depends on symptoms, medical history, baseline risk, and whether the result would change subsequent decisions. Laboratory values also depend on the method, reference interval, preparation, medications, supplements, physical activity, and acute conditions (MedlinePlus, 2025).

• Cardiometabolic context: depending on age and medical history, a doctor may consider blood pressure, a lipid profile, glucose, or HbA1c. For a more precise cardiovascular risk assessment, kidney function may sometimes be added: creatinine with estimated glomerular filtration rate and, when indicated, the urine albumin-to-creatinine ratio. These are examples of clinical data, not a universal self-testing checklist (Khan et al., Circulation, 2024).

• Nutrients: a genetic association with a vitamin or mineral is not the same as a deficiency. Testing should answer a specific question. For example, a complete blood count and ferritin may be appropriate when iron deficiency is suspected; B12 and folate are assessed in the context of diet, symptoms, medications, and conditions that affect absorption. 25(OH)D should not be measured in everyone solely because of a genetic result: NICE recommends against routine testing unless there are symptoms of deficiency, very high risk, or another clinical reason (NICE, 2017).

• Thyroid, inflammation, and “sports panels”: TSH, inflammatory markers, cortisol, creatine kinase, and other specialised tests are not universal answers to fatigue, stress, or genetic predisposition. They are useful when a doctor has formulated a clinical question and knows how to interpret the result by considering the measures and other factors together rather than in isolation.

A rule before testing. Ask: “How would the decision change if the result were within the reference range, borderline, or outside it?” If the answer is unclear, the test probably needs further justification.

When to involve a doctor

A consultation is particularly appropriate when a genetic result concerns disease risk, a laboratory biomarker, medication or supplement use, or when you have symptoms, significant abnormalities in test results, or an important family history. In these situations, genetic data should be considered alongside clinical data rather than in isolation.

For the consultation, it is useful to have your full genetic report, an up-to-date list of medications and supplements, recent examination results, and the key details of your personal and family history.

If the result does not change any decision right now

Not every result needs to be turned into an action immediately. If an indicator is not relevant to your current goal, does not require further investigation, and does not change any decision now, it can remain as genetic context for the future.

This does not make the result unnecessary. Health, lifestyle, and life circumstances change, so information that has little practical relevance today may become relevant later.

Step 5. If you make a safe change, decide how you will evaluate its effect

If you decide to try a safe lifestyle change in light of a genetic result, define in advance what you will measure. Otherwise, after a few weeks it may be difficult to distinguish a real change from a general impression.

Choose one primary metric and, if needed, one additional metric.

• Sleep: average duration, number of nighttime awakenings, or how refreshed you feel in the morning.

• Nutrition: consistency of eating patterns, satiety, frequency of overeating episodes, or a defined biomarker.

• Training: a repeatable endurance or strength test, pace at the same heart rate, or recovery speed.

• Stress: a brief daily well-being scale, resting heart rate, or the number of days with marked exhaustion.

Set a timeframe as well: two weeks may be enough to assess a sleep routine, whereas changes in physical fitness require longer observation.

Step 6. Compare changes with your own baseline

Evaluate the effect of a change relative to your own baseline, not relative to a genetic reference group. Record the metric before making the change, then repeat it under conditions that are as similar as possible.

A tracker or app can help reveal trends if used consistently. Wearable devices have measurement error, so the trend under comparable conditions matters more than a single number.

Step 7. Evaluate the effect and decide whether to keep the change

After the defined period, compare the data with baseline. If the change produced a noticeable effect, was practical, and had no unwanted consequences, you can keep it. If there was no effect, consider the observation period, consistency, and other conditions that may have changed at the same time.

No effect does not invalidate the genetic result. It only means that this particular change did not provide the expected practical benefit under these conditions.

Supplements and restrictive diets: where extra caution is needed

A genetic result associated with the level of a vitamin, mineral, fatty acid, or another nutrient does not show its current concentration in the body and does not determine a supplement dose. If the parameter can be measured in the laboratory, whether testing is appropriate should be decided in the context of diet, symptoms, medications, and other factors.

Likewise, genetic predisposition alone is not a sufficient reason to exclude entire food groups. Restrictive diets can reduce diet quality, create a risk of inadequate intake of certain nutrients, or distract from other possible causes of symptoms.

A systematic review of randomised trials did not provide sufficiently convincing evidence to support a strong conclusion that adding genetic testing to nutrition counselling improves clinical outcomes; the authors noted study heterogeneity and low certainty of evidence (Ellis et al., J. Acad. Nutr. Diet., 2021).

The practical principle is simple: a genetic result can indicate what may deserve attention, but it does not replace an assessment of current status and is not an automatic prescription for a supplement or diet.

If high-dose supplements, long-term use, combinations of several products, or substantial dietary restrictions are being considered, the decision is better discussed with a doctor or another relevant healthcare professional.

Knowing about a genetic predisposition alone is not enough to change behaviour

Simply receiving information about genetic risk or predisposition does not mean that a person will automatically change their habits. In a randomised trial, adding polygenic risk scores for type 2 diabetes and coronary heart disease to conventional risk information did not produce statistically significant differences between groups in physical activity, diet, alcohol use, or healthcare seeking (Halmesvaara et al., J. Community Genet., 2025).

A systematic review and meta-analysis of 27 randomised trials published in 2026 likewise found no consistent improvement in behavioural or clinical outcomes after polygenic risk scores were communicated (Russo et al., BMJ Med., 2026).

These findings do not mean that genetic information has no practical value. They show something else: communicating a predisposition is not an intervention in itself. To use a result in decision-making, you need to understand its meaning, compare it with other data, and determine whether it requires a specific action now.

When a genetic report is not enough

A genetic report does not establish a diagnosis and does not replace clinical assessment. If you have new or pronounced symptoms, significant abnormalities in laboratory results, questions about changing medication, pregnancy, or an important family history of disease, you need a medical consultation. In these situations, genetic data may provide additional context, but decisions are made on the basis of the clinical picture and other examinations.

How to use an Apixmed Prism genetic report

In your Apixmed Prism report, first choose the area that matches your goal: sleep, nutrition, physical activity, recovery, metabolism, or another domain. Read the explanation of the indicator and its sources, then compare the result with your own observations and available measurements.

The Apixmed Prism catalogue includes thematic Prisma tests, the Wellness Panel, and the Ultima Panel. A large genetic report does not mean that every indicator needs to be addressed at the same time.

You can view the current testing areas and panel contents in the Apixmed Prism catalogue of genetic tests and panels.

Frequently asked questions about genetic reports

Do I need to follow every recommendation in the report?

No. Choose a few indicators that match your current goal, and first understand what they describe and what kind of action, if any, they require. Some information may simply remain useful guidance for the future.

Can a genetic report identify vitamin deficiencies?

No. A genetic predisposition to a higher or lower level of a particular nutrient does not show its current concentration in the body. Deficiency is assessed using symptoms, diet, and, when justified, laboratory measurements.

What if my genetic result does not match what I observe?

This is not necessarily a contradiction. A genetic result describes predisposition, while the actual expression of a trait also depends on environment, lifestyle, age, and other factors. Your current experience does not disprove the genetic predisposition; it helps clarify its practical significance for you now.

Should I buy supplements based on genetic recommendations?

Not automatically. A genetic result can provide additional context, but on its own it does not confirm a deficiency or determine a dose. Whether a supplement is appropriate depends on the specific nutrient, diet, symptoms, laboratory results, and other factors. High doses and combinations of products should be discussed with a doctor.

When should I see a doctor?

If you have new or pronounced symptoms, significant abnormalities in test results, questions about medication, pregnancy, or a family history that increases disease risk. A consultation is also appropriate if your genetic result concerns disease risk or a laboratory parameter and you want to understand how it fits with your medical history, current examinations, and other risk factors.

 

The Apixmed Prism genetic report is not a diagnosis and does not replace a medical consultation. Do not change treatment, start high-dose supplements, or decline recommended examinations solely on the basis of a genetic result.

 

Sources

1. Schunkert H, Di Angelantonio E, Inouye M, et al. Clinical utility and implementation of polygenic risk scores for predicting cardiovascular disease: A clinical consensus statement of the ESC Council on Cardiovascular Genomics, the ESC Cardiovascular Risk Collaboration, and the European Association of Preventive Cardiology. European Heart Journal. 2025;46(15):1372–1383. DOI: https://doi.org/10.1093/eurheartj/ehae649

2. Khan SS, Matsushita K, Sang Y, et al. Development and Validation of the American Heart Association's PREVENT Equations. Circulation. 2024;149(6):430–449. DOI: https://doi.org/10.1161/CIRCULATIONAHA.123.067626

3. U.S. National Library of Medicine. MedlinePlus. How to Understand Your Lab Results. https://medlineplus.gov/lab-tests/how-to-understand-your-lab-results/

4. National Institute for Health and Care Excellence. Vitamin D: supplement use in specific population groups. Public health guideline PH56. Published 2014; last updated 2017; reviewed 2025. Recommendation 7: Only test vitamin D status if someone has symptoms of deficiency or is at very high risk. https://www.nice.org.uk/guidance/ph56/chapter/recommendations

5. Ellis A, Rozga M, Braakhuis A, et al. Effect of Incorporating Genetic Testing Results into Nutrition Counseling and Care on Health Outcomes: An Evidence Analysis Center Systematic Review—Part II. Journal of the Academy of Nutrition and Dietetics. 2021;121(3):582–605.e17.
   DOI: https://doi.org/10.1016/j.jand.2020.02.009

6. Halmesvaara O, Lonna M, Kääriäinen H, et al. The impact of supplementing traditional risk information with polygenic risk score concerning type 2 diabetes and coronary heart disease on health behavior: a randomized controlled trial. Journal of Community Genetics. 2025;16(3):373–386. DOI: https://doi.org/10.1007/s12687-025-00790-7

7. Russo L, Lentini N, Farina S, et al. Effects of polygenic risk score communication on short term health outcomes: systematic review and meta-analysis. BMJ Medicine. 2026;5(1):e002347. DOI: https://doi.org/10.1136/bmjmed-2025-002347