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Sample Genetic Report

This is a demo with synthetic data showing what your personalised report looks like. Upload your own DNA to get real results.

Genomic Insight Report

What is in this DNA file

Three kinds of finding: clinical, drugs, and research. Colour marks the source.

Your DNA in 2 minutes

Three kinds of information were looked for in your file. None of them is a diagnosis.

103 matches in 4 research areas
1 record meeting this report’s clinical and review criteria
1 medication finding with strong clinical evidence · 1 preliminary or context-dependent finding

Your file produced 103 matches across 4 of 4 research areas. A variant studied for two areas is matched in both, so this counts matches, not positions. Below, each one with the trait its study measured and its source.

Where to start

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 →

Clinical · ClinVar Drugs · PharmGKB Research · GWAS

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

Important limitation: SNP chips do not provide full gene sequencing. A result here does not confirm a diagnosis, and a missing result does not rule one out. These findings require confirmation by a certified genetic test and interpretation by a medical geneticist.
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 a certified genetic test — SNP-chip data cannot establish it.
Your result (copies)
You inherit two copies of each position, one from each parent. Carrying 1 of 2 copies often has a different effect than 2 of 2.
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.

2 · Drugs · PharmGKB

Strong evidence (1A/1B) first · never change medication alone

1 medication finding with strong clinical evidence · 1 preliminary or context-dependent finding

3 · Research · GWAS

Published associations by area · not a risk traffic-light

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

    See the scientific detail

    rs7903146 · TCF7L2

    CT 1 copy of the effect allele OR 1.37 Higher odds of the trait studied

    rs5219 · KCNJ11

    TT 2 copies of the effect allele OR 1.15 Higher odds of the trait studied

    rs4402960 · IGF2BP2

    GT 1 copy of the effect allele OR 1.17 Higher odds of the trait studied

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% covered
Chip coverage42 of 78 catalogue positions present

Coverage ≠ risk — how much of this category’s catalogue is in your file, not how much risk you have.

Going deeper

AI Explanation
Your file contains 42 of the 78 variants we track for type 2 diabetes. There is no combined score here on purpose: the variants below are what the studies actually measured, and each one stands on its own. The best studied of them is rs7903146 in TCF7L2, where you carry one copy of the T allele. The effect reported next to it is an odds ratio of 1.37: in the study that reported it, the odds of the outcome were 1.37 times higher among the people carrying that allele than among the people who were not. That is a comparison between two groups in one study. It is not 37% added to your own risk, it is not an absolute risk, and it is not a probability that anything will happen to you. TCF7L2 has a role in insulin secretion from pancreatic beta cells. You also carry two copies of the T allele at rs5219 in KCNJ11, a potassium-channel gene involved in glucose-stimulated insulin release. These effects cannot be added together — the studies measured different people in different ways, and their numbers do not share a scale. Diet, exercise, weight and family history matter enormously; many people carrying these variants never develop diabetes, and many who develop it carry none of them. 42 of 78 is coverage: how much of what has been studied is present in your file. It is not a confidence level and not a risk. This is not a diagnosis and does not replace medical advice.

Generated by Claude · Based on GWAS data · Not medical advice

What to do next: This is not a diagnosis. If something worries you, discuss it with a healthcare professional; do not change medication or treatment based on this report alone.
The research areas draw on European-ancestry studies: In the health-research (GWAS) areas, every effect shown was measured in European-ancestry populations, because that is the stratum this analysis uses. If your ancestry is different, those numbers may not transfer. This filter does not apply to the clinical (ClinVar) or medicines (PharmGKB) sections.
Important: The associations in this report come from population-level research studies. They do not account for lifestyle, environment or clinical context, and an association measured across a study group is not a prediction about you. Do not use this report to make medical decisions — consult a healthcare professional.

What is free and what costs 10 €

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Always included

  • Which research areas your file matched, and how much of each one it covers
  • High-confidence ClinVar variants (≥2 review stars)
  • Strong drug annotations (PharmGKB 1A / 1B)
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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
  • 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
Upload your DNA for the full report →

We do not show an overall risk score, band or percentile per category. How we compute this, and what we removed →

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