| DNA_CHECKS

Report

What's in a DNA_CHECKS report

The report contains several distinct forms of genetic interpretation. Each section uses evidence appropriate to the scientific question being asked.

Origins & History

Ancient and modern population-reference comparisons presented as genetic context rather than identity or ancestry percentages.

Ancient Origins

Compares the available DNA with dated ancient reference groups across chronological windows. Results describe genetic affinity within the comparison model, not proof of direct descent.

Closest Modern References

Compares the available DNA with modern population references. These results describe nearby genetic structure and should not be interpreted as nationality, ethnicity or personal identity.

Genetic Curiosities

Selected non-clinical traits and biological associations supported by curated genetic evidence.

Trait interpretation

Results are genotype-specific and presented with appropriate biological context rather than as deterministic predictions.

Supporting evidence

Relevant study provenance, population context and evidence quality are retained where they help explain the association.

Important Clinical Findings

Screening-oriented findings prioritised using clinical evidence, population context and interpretation safeguards.

Clinical prioritisation

Potentially important findings are assessed using variant identity, clinical classification, population evidence and other relevant context.

Confirmation

Consumer SNP-array data is not equivalent to clinical genetic testing. Important findings may require independent clinical confirmation.

Medication & Pharmacogenomics

Genetic evidence relating to medication metabolism or response where the uploaded DNA provides sufficient coverage.

Pharmacogenomic evidence

Supported gene and drug relationships are evaluated using curated pharmacogenomic evidence and the available genotype data.

Medication decisions

The report is not a prescription and should not be used by itself to start, stop or change medication.

Supporting report sections

Further Evidence & Research Context

Lower-priority or research-oriented evidence that remains useful but does not belong among the primary report findings.

Technical Evidence Appendix

Additional technical and provenance information for users who want to inspect the analysis in greater detail.

Sources, Licensing & Data Use

Reference datasets, scientific sources, licensing context and report provenance.

View full report documentation →

Processing

How a report is generated

The website handles the public workflow. The existing DNA_CHECKS engine performs the scientific analysis and report generation.

Upload

Provide a supported AncestryDNA-style raw DNA file.

Analyse

The input is normalised and evaluated through the relevant DNA_CHECKS evidence pipelines.

Generate

Results are prioritised, contextualised and assembled into the final report.

Delete

The raw DNA file is removed from the processing workflow after successful analysis.

Why are the analysis systems kept separate?

Clinical genetics, pharmacogenomics, traits, population structure and ancient-reference comparison are different scientific problems. DNA_CHECKS therefore evaluates them through specialised evidence systems rather than treating every marker as the same type of result.

Evidence

How results are interpreted

The scientific result is determined by explicit analysis rules, evidence models and quality controls before it reaches the report.

Deterministic interpretationThe scientific result is produced by reproducible analysis logic.

Variant matching, genotype interpretation, prioritisation and report eligibility are handled through deterministic rules and quality gates.

Visible provenanceResults retain the evidence needed to understand where they came from.

Relevant source information, evidence quality, reference context and technical provenance remain available within the report.

Cautious reportingA matching DNA marker does not automatically become a finding.

Evidence may be demoted or withheld when coverage, classification or interpretation rules do not justify a stronger conclusion.

AI-assisted explanationAI is not responsible for deciding the underlying genetic result.

Where AI-assisted narrative wording is used, it is applied only after the scientific evidence has already been determined by the analysis pipelines.

Data & privacy

Minimal retention

The beta is being designed around processing the DNA needed for the report rather than building a permanent collection of uploaded genetic data.

Raw DNA

Used to generate the report, then deleted.

The uploaded file is removed from the processing workflow after successful report generation.

—No DNA resale

—No advertising profile

—No research reuse by default

—No AI training on uploaded DNA

More about data handling

The final public workflow will document the exact retention period for generated reports, deletion procedures and applicable privacy controls before personal uploads are enabled.

Read Data & Security →

Project

Independent development

DNA_CHECKS is currently an independently developed project being prepared for a small public beta.

StatusBeta

Current inputAncestryDNA

Report fee£3 one-off

SubscriptionNone

Planned inputsAdditional SNP arrays and whole-genome sequencing

Why a £3 beta fee?A small one-off contribution to development and running costs.

The beta fee helps support continued development and operating costs while the public workflow is tested. There is no subscription requirement.

Contributing to DNA_CHECKSFeedback, criticism, bugs and feature ideas are welcome.

The project is intended to develop transparently. Scientific criticism, bug reports, feature requests and technical contributions are useful.

Request a Feature →Contact →

Public example

Preview the report

Inspect the actual report structure and presentation before uploading personal DNA.

Preview Report Generate Report — £3 Beta