Example with fictional data
See what you can learn from your DNA file
Explore a sample report on medicines, clinical variants and genetic research.
This is not a personal result and not a diagnosis.
Sample excerpt · fictional data
How a match is explained
What was found. A research match related to type 2 diabetes.
How to read it. An association observed in a study, not a personal prediction.
It does not mean you have, or will develop, the disease.
Review the available results free. Add explanations and export for €10.00, one payment.
See the example's data
This fictional file matches a published association for type 2 diabetes at rs7903146 in TCF7L2. The sample carries one copy of the T allele. Coverage here is 42 of 78 positions tracked for that trait: how much of the catalogue is in the file, not a risk.
The figure next to it is an odds ratio of 1.37: in the study that reported it, the odds of the measured outcome were 1.37 times higher among people with that allele than among people without it. That is a comparison between two groups in one study.
It is not a percentage added to anyone's personal risk, not a diagnosis, and not a prediction that diabetes will happen. Diet, weight and family history still matter. A real file may match this variant, a different one, or none.
Uploading requires a raw file from an accepted provider. An accepted format does not guarantee that every section can be interpreted.
Explore the three parts
Jump to an example of each part of the report.
Full sample report
Fictional sample · your own file may produce a different result, or none that can be interpreted.
How to go through this demo
- This demo shows fictional results, not an analysis of your DNA. No upload or testing kit is needed to explore it.
- A supported export does not guarantee that every section is interpretable. Coverage is not risk, and no matches does not mean that everything is fine.
- Use the browser print dialog and choose “Save as PDF” if available. This prints the demo, not a personal report; it is not a direct PDF download.
What this fictional example contains
Three sections of this sample. Not a summary of your file.
Findings with clinical review
1 variant
Positions in your file that clinical databases have reviewed. Confirming one with a clinical test is the next step, not acting on it.
Medicines with genetic information
1 medicine
Medicines with strong-evidence annotations for your genotype. Never change a dose or a treatment on this — raise it with whoever prescribes.
Health areas explored
4 of 4
Areas where your file matched at least one studied variant. This is coverage — how much of the research your file can be checked against — not risk.
The clinical variants (ClinVar) section only interprets single-base substitutions (SNVs). It does not interpret insertions, deletions, structural variants, copy-number changes (CNVs), or combinations of variants (haplotypes). The absence of a finding does not rule out variants of those types.
See a selection from these sections
Up to three entries, taking one from each kind of information that has something meeting the criteria below, and filling any gap with the kinds that do. Not a ranking: nothing here compares a clinically reviewed finding against a medicine or a research association. Not a risk score and not a diagnosis.
- Clinical
BRCA2 — clinically reviewed finding; ClinVar relates this variant to 1 condition
A variant with clinical review. Worth discussing with a healthcare professional — not a diagnosis on its own.
- Drugs
Warfarin — the analysed genotype may affect the response (strong evidence)
Your genetics may affect how this blood thinner works for you. Never change a medicine or a dose without a doctor.
- Research
KCNJ11 — a research association studied for Type 2 Diabetes
A research association for type 2 diabetes. Genetics is one factor among many, and lifestyle matters a great deal.
Full sources and detail are below. Anything clinical should be discussed with a professional. How we compute this, and what we removed →
We do not show an overall risk score, band or percentile per category. How we compute this, and what we removed →
1 · Clinical · ClinVar
Matches with ClinVar records · not a diagnosis
Fictional sample data
How to read this
- Gene · variant (rsID)
- The gene and the exact position in your DNA (e.g. rs351855) that was checked.
- The classification ClinVar publishes
- ClinVar archives and aggregates submissions; it does not independently review every record. The classification is that aggregate for the VARIANT, and it can be "conflicting" when submitters disagree. Carrying the variant does not mean the condition is present or will develop. Confirming it needs genetic testing in a clinical setting — SNP-chip data cannot establish it.
- Your result (copies)
- The expected copy number depends on the locus and chromosomal profile. The report shows detected copies without by itself concluding that you are a carrier or affected.
- Review status (stars)
- Summarises the record's review status. It is not a linear scale of how many sources agreed, nor of severity: two stars does mean several submitters agreed, one star can be a single submitter OR submitters in conflict, zero stars means no assertion criteria were declared, and an expert panel or a practice guideline is a different kind of review rather than more of the same.
Possible clinically relevant finding
BRCA2This does not mean the condition is present. It is a match with a ClinVar record, not a diagnosis.
ClinVar classifies the variant, not each condition separately.
ClinVar relates this variant to (conditions or other related contexts):
- Hereditary breast and ovarian cancer syndrome
One copy detected in the analysed file
How many copies were detected does not by itself make anyone a carrier or affected — that depends on the condition and on clinical assessment.
A consumer DNA chip is not clinical sequencing: it reads selected positions, so a result here is a starting point, and an absent result rules nothing out.
If this matters, the safe next step is a clinical genetic test and a professional reading of it.
See the scientific detail
ClinVar value: Likely pathogenic
2 · Drugs · PharmGKB
Strong evidence (1A/1B) first · never change medication alone
Fictional sample data
1 medication finding with strong clinical evidence · 1 preliminary or context-dependent finding
Choose a medicine to read its annotations, or search by name. Expand all rows if needed.
Do not start, stop or change the dose of any medicine because of this. It is information for a conversation with the person prescribing it, who knows the rest of your situation.
WarfarinDoseHighest evidence: clinical guideline or drug label. 2 genetic annotations found
View annotations
Highest evidence: clinical guideline or drug label. 2 genetic annotations found
View annotations- For Warfarin, your genetics may be associated with differences in dose.
Do not start, stop or change the dose of any medicine because of this. It is information for a conversation with the person prescribing it, who knows the rest of your situation.
See the scientific detail
PharmGKB annotation, verbatim
Patients with CYP2C9 *1/*2 genotype may require lower warfarin doses. Consider 20-30% dose reduction from standard starting dose.
2 sources
Source: PharmGKB clinical annotations. annotation 981755803 →
PharmGKB annotation, verbatim
VKORC1 -1639 G>A heterozygotes typically require intermediate warfarin doses (~4-5 mg/day vs standard 5-7 mg/day).
2 sources
Source: PharmGKB clinical annotations. annotation 981202391 →
3 · Research · GWAS
Published associations by area · not a risk traffic-light
Fictional sample data
One area at a time. Areas with matches are listed first; the rest have none in this file.
How to read these numbers
- Coverage
- Coverage: how many of the variants we track for this trait are present in your DNA file. It says how much of the research your file can be checked against — nothing more. Coverage is not risk and not confidence.
- rsID
- rsID: a unique identifier for a specific position in the genome (e.g. rs429358). Each rsID refers to one genetic variant.
- Odds ratio (OR)
- Odds ratio (OR): a comparison between two groups in one study — the odds of the measured outcome among people carrying the variant, divided by the odds among people not carrying it. OR 1.5 means those odds were 1.5 times higher in that study. It is not your risk, not a percentage added to it, and not a probability.
- Effect-allele copies
- Effect-allele copies: 0 = you don't carry this variant, 1 = one copy (heterozygous), 2 = two copies (homozygous). The effect allele is the one the study attributed its effect to, and more copies generally means a larger contribution to that effect; where the association is protective or quantitative, that effect is not a risk.
- Beta coefficient
- Beta coefficient: the effect a study measured on a quantitative trait, in that trait's own units (e.g. mmol/L of glucose). It is not an odds ratio and not a risk, and betas from different traits cannot be compared or added.
Type 2 Diabetes
What we found
Your file contains 42 positions that published studies have looked at in relation to this area.
That is a list of what is present, not a verdict: these variants are not combined into an overall figure for this area.
In your file
Variants you carry with a published effect, taken one kind of effect at a time. Not a category score, and not a ranking.
Type 2 diabetes
3 variants studied for this trait
Worth discussing with a healthcare professional if it concerns you — this is not a diagnosis.
What this means
Each variant listed here comes from studies that observed an association in populations of participants — groups compared with other groups, on the trait each study actually measured.
Genetics is one factor among several. Age, environment, habits, family history and chance act on the same conditions, and none of them is in a DNA file.
What this does not mean
It is not a diagnosis, a probability or a prediction about you: nothing here says whether you will develop anything, nor when, nor how likely that is.
Coverage of your file
54% coveredCoverage ≠ risk — how much of this category’s catalogue is in your file, not how much risk you have.
Read the plain-language explanation
Generated by Claude · Based on GWAS data · Not medical advice
What you can see free, and what a purchase adds
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- Coverage by research area
- ClinVar (2+ review stars)
- PharmGKB 1A/1B drug interactions
My DNA explained
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- The plain-language explanation of every match found in your DNA, across the 10 research areas
- What each result means and, above all, what it does not mean
- PDF export, full and clinical
See everything included
- The plain-language explanation of every match found in your DNA, across the 10 research areas
- What each result means and, above all, what it does not mean
- An ordered report you can move through: area by area, finding by finding
- The complete ClinVar section, with context and sources for every finding
- The complete pharmacogenetics section, drug by drug
- Scientific mode: the published figure behind each finding, with its unit and its studies
- SNP search: look up any variant in your own file
- PDF export, full and clinical
- A read-only link to share the report with whoever you choose
- Access for as long as your account stays active
Payment does not add data to the file or resolve the interpretation limitations stated in the report. Available content depends on the matches and the data that can be interpreted.
We do not show an overall risk score, band or percentile per category. How we compute this, and what we removed