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DNA_CHECKS

Preview Genetic Report

Illustrative example of the DNA_CHECKS consumer genetics report

Example report — no real person's DNA

This public preview uses deliberately synthetic, illustrative results. It preserves the structure and visual language of a DNA_CHECKS report without reproducing the uploaded individual's personal genetic findings, genotypes, origin rankings, clinical results or pharmacogenomic calls.

Selected examples only. A full report is not limited to the example counts shown here. Sections expand independently according to the uploaded DNA file, usable marker coverage and the evidence that passes DNA_CHECKS' gates, so a finished report can be substantially denser than this preview.

About this preview

  • DNA_CHECKS interprets uploaded DNA as screening evidence. Important medical findings require independent confirmation before clinical use.
  • Origins, traits and association findings are informational rather than diagnostic.
  • This preview contains synthetic examples only. Nothing shown here should be interpreted as a result for any real person.
PREVIEW OVERVIEW

At a glance

The report is organised around Origins & History, Genetic Curiosities, Important Clinical Findings and Medication & Pharmacogenomics, followed by supporting evidence, technical traceability and source records.

Origins & History

SYNTHETIC EXAMPLE

Illustrative ancient-DNA reference neighbourhoods and broad modern-reference affinity.

  • Historical windows are interpreted independently.
  • No ancestry percentages are implied.

Genetic Curiosities

8 EXAMPLES

Illustrative non-clinical associations covering senses, everyday biology, food response and performance.

Important Clinical Findings

4 SCREENING EXAMPLES

Synthetic cards demonstrate evidence quality, inheritance, confirmation requirements and safety boundaries.

Medication & Pharmacogenomics

5 PGx EXAMPLES

Illustrative coverage-aware gene calls show evaluated, unavailable and specialist-calling states.

8
Curiosity examples
Synthetic non-clinical associations.
4
Clinical examples
Synthetic screening presentations.
5
PGx examples
Illustrative call states.
0
Real personal results
This preview contains no real DNA analysis.
PREVIEW SCOPE

Selected examples, not a report-size limit

This preview samples the main report surfaces rather than reproducing every possible record. A finished report can contain many more curiosity associations, clinical evidence records, pharmacogenomic evidence items, research-context records and technical provenance entries. The exact number varies with the uploaded DNA file and the evidence that passes the pipeline's quality and safety gates.

SECTION 01

Origins & History

Genome-wide modern reference affinity and dated ancient-DNA reference history, shown here with synthetic examples.

2 example areas
Illustrative synthetic results

This section demonstrates how Origins & History is presented. The reference neighbourhoods, rankings and dates below are examples only and are not derived from a real person's DNA.

Ancient Origins

Ancient comparisons are shown as affinity to dated reference neighbourhoods within separate historical windows. They are not ancestry percentages and do not claim direct descent from a named archaeological culture.

Upper Palaeolithic European reference neighbourhood

Reference rank 1 · illustrative

In this example, the synthetic sample sits relatively near an Upper Palaeolithic European reference neighbourhood within this chronological window.

Median datec. 28,000 BCE
Reference samples5
StabilityVery stable
Technical interpretation

Distance is model-specific geometry in a fixed PCA space. It is an affinity signal, not a probability or percentage.

Central European Neolithic farming communities

Reference rank 1 · illustrative

This example shows how a later Neolithic reference neighbourhood can appear as the closest stable comparison for its own historical window.

Median datec. 4,200 BCE
Reference samples12
StabilityStable
Historical context

The report can provide short source-backed archaeological context while keeping raw dataset labels and technical provenance behind disclosure.

Central European Bronze Age reference neighbourhood

Reference rank 1 · illustrative

A third synthetic period demonstrates chronological progression without implying that the ancient groups are components that add to 100%.

Median datec. 2,100 BCE
Reference samples16
StabilityStable
Scientific boundary

Each historical window is evaluated independently. Results should be read within that window rather than combined as an ancestry mixture.

Closest Modern References

Northwestern / Central European reference neighbourhood

Broad affinity example

The synthetic sample is shown near a broad modern European reference neighbourhood. DNA_CHECKS stops at the level supported by the reference model rather than inventing fine-scale nationality or ethnicity.

ModelFixed reference PCA
ResolutionBroad regional
Fine scaleWithheld
Why DNA_CHECKS stops here

Fine-scale labels are shown only when reference data, validation and model stability justify that level of specificity.

SECTION 02

Genetic Curiosities

Published non-clinical genetic associations presented as illustrative synthetic trait examples.

8 examples
Illustrative synthetic results

These examples demonstrate the Curiosities layout. Genotypes and trait directions below are synthetic and are not a real person's results.

Bitter taste sensitivity Example

A synthetic TAS2R38-style example showing how DNA_CHECKS explains a non-clinical sensory association, including direction, evidence strength and population limitations.

Illustrative genotypeC/T
EvidenceStrong
CategorySenses

Earwax type Example

A synthetic ABCC11-style example showing how a simple, well-studied everyday trait can be presented without implying clinical importance.

Illustrative genotypeC/T
EvidenceStrong
CategoryEveryday biology

Caffeine response tendency Example

A synthetic example of a common behavioural/physiological association. The report explains that environmental factors and other variants can matter substantially.

Illustrative genotypeA/C
EvidenceModerate
CategoryFood & drink

Muscle-performance association Example

A synthetic ACTN3-style example demonstrating how performance associations are framed as small probabilistic tendencies rather than deterministic predictions.

Illustrative genotypeC/T
EvidenceModerate
CategoryPerformance

Coriander perception Example

A synthetic sensory-preference example showing how DNA_CHECKS separates a published association from a deterministic prediction about what somebody will actually taste or like.

Illustrative genotypeA/G
EvidenceModerate
CategorySenses

Asparagus odour perception Example

A synthetic smell-perception example demonstrating how a small everyday genetic curiosity can be explained alongside study-population and effect-size caveats.

Illustrative genotypeG/G
EvidenceModerate
CategorySenses

Chronotype tendency Example

A synthetic sleep-timing association illustrating how polygenic, lifestyle-sensitive traits are presented as tendencies rather than fixed biological outcomes.

Illustrative genotypeC/T
EvidenceModerate
CategoryEveryday biology

Exercise recovery association Example

A synthetic performance-related association showing how DNA_CHECKS keeps small statistical effects in context and avoids turning them into training prescriptions.

Illustrative genotypeA/A
EvidenceModerate
CategoryPerformance
SECTION 03

Important Clinical Findings

How high-priority clinical screening evidence is presented, using synthetic examples only.

4 examples
Illustrative synthetic screening examples

No real clinical genotype or condition from the source report is reproduced here. These cards exist only to demonstrate how DNA_CHECKS presents clinically important screening evidence and its limitations.

Example recessive carrier-pattern finding

Screening only · synthetic

DNA_CHECKS would describe the observed genotype, the relevant inheritance model, the quality and agreement of supporting sources, and why independent clinical confirmation is required before medical use.

Evidence qualityModerate
Clinical finalityScreening only
ConfirmationRequired
What this means

A consumer SNP-array result can be useful for screening, but it is not a diagnosis. Consequential findings require confirmation by an accredited clinical laboratory.

Example clinically relevant variant requiring caution

Evidence under review · synthetic

This example demonstrates a finding that is retained because it may matter, but is not promoted to the highest-priority interpretation when source agreement, penetrance or technical certainty remains incomplete.

Evidence stateConcordant with limitations
Population contextContext only
ActionDo not act on this report alone
Why evidence can be withheld

DNA_CHECKS separates source evidence from genotype certainty and can keep uncertain or conflicting evidence in supporting context instead of overstating it.

Example dominant-inheritance screening finding

Screening only · synthetic

This synthetic example demonstrates how a potentially important dominant-inheritance observation would be separated from lower-priority associations and accompanied by confirmation, penetrance and family-context cautions.

Evidence qualityStrong source evidence
InheritanceDominant example
Clinical actionConfirm before use
Why confirmation remains necessary

Consumer-array data and interpretation are screening tools. A consequential result should be confirmed independently in an accredited clinical setting before medical decisions are made.

Example reduced-penetrance clinical association

Contextual · synthetic

This synthetic example shows how DNA_CHECKS can retain a clinically relevant association while making clear that carrying an associated allele does not mean the condition is present or inevitable.

Evidence qualityModerate
PenetranceIncomplete / context-dependent
PlacementLower prominence
Presentation rule

Evidence that is scientifically relevant but less deterministic is presented with lower prominence and stronger context rather than being promoted as a diagnosis.

SECTION 04

Medication & Pharmacogenomics

Coverage-aware pharmacogenomic presentation with synthetic example calls and explicit safety boundaries.

5 examples
Illustrative synthetic pharmacogenomics

The examples below demonstrate the coverage-aware PGx presentation. They do not represent a real person's medication results and do not authorize medication changes.

Example personal pharmacogenomic profile

DNA_CHECKS compares observed DNA with pharmacogene definitions, preserves missing positions as unknown and accepts only calls that pass coverage and diplotype safety gates.

Example gene calls accepted3
Withheld for coverageSeveral
Medication changes authorized0

The report distinguishes evaluated personal calls from guideline evidence records. A source database containing many PGx records does not mean the person has that many medication findings.

CYP2C19

Illustrative phenotype

Example presentation of an intermediate-metabolizer-style result when sufficient allele-definition coverage is available.

Call stateEvaluated
PhenotypeIllustrative intermediate metabolizer
GuidanceClinical source context shown separately
Medication boundary

DNA_CHECKS does not instruct the user to start, stop or change a medicine. Genotype-specific guidance is shown only when the evidence gate is satisfied.

SLCO1B1

Illustrative function

Example presentation of a decreased-function-style call with coverage and source provenance exposed for review.

Call stateEvaluated
FunctionIllustrative decreased function
EvidenceCoverage-gated
Source comparison

CPIC, DPWG, ClinPGx and FDA evidence are kept source-specific rather than collapsed into one undifferentiated recommendation.

CYP2D6

Specialist calling required

This example demonstrates a pharmacogene that may be withheld from consumer-array calling when copy-number or complex haplotype resolution is insufficient.

Call stateUnavailable
ReasonComplex locus
Next stepMore complete sequencing / specialist caller
Why unavailable matters

An unavailable result is not treated as normal function. Missing or unresolved data remains explicitly unknown.

CYP2C9

Illustrative phenotype

A synthetic example showing how an accepted metabolizer-style call can be presented alongside coverage information and source-specific clinical guidance.

Call stateEvaluated
PhenotypeIllustrative reduced function
UseContext only
Guideline handling

Guidance remains tied to the relevant clinical source and does not become a universal medication instruction.

TPMT

Illustrative function

A synthetic example showing how DNA_CHECKS can distinguish an evaluated pharmacogene result from loci where consumer-array coverage is insufficient for a safe call.

Call stateEvaluated
FunctionIllustrative intermediate
Evidence gatePassed
Safety boundary

The report does not direct dose changes. Medication decisions remain with an appropriate clinician or pharmacist using confirmed clinical information.

SECTION 05

Further Evidence & Research Context

Lower-priority clinical, risk, protective and uncertain evidence retained for context and transparency.

6 example groups
Supporting research context

This area keeps lower-priority or less actionable evidence available without competing with the main report sections.

Risk & susceptibility association

Illustrative association retained for context because the effect is small, population-dependent or not appropriate for a prominent clinical conclusion.

Protective association

Illustrative protective-direction association shown with the same caveats about effect size, population transferability and non-diagnostic meaning.

Evidence requiring caution

An example of conflicting or incomplete evidence that DNA_CHECKS keeps visible for transparency rather than silently discarding or over-promoting.

Additional clinical context

Gene-disease or variant-condition evidence that may be scientifically relevant but does not currently meet the main-report promotion gate.

Population-frequency context

An illustrative evidence card showing how population frequency can contextualise a variant without being treated as proof for or against disease in one individual.

Gene–disease relationship context

An illustrative record showing how gene-level validity evidence can be retained separately from the interpretation of a specific observed genotype.

SECTION 06

Technical Evidence Appendix

Structured provenance and traceability examples illustrating the technical audit layer.

5 example fields
Illustrative technical traceability

Technical records demonstrate provenance, routing and evidence fingerprints. The values below are placeholders and not taken from a real personal run.

RecordExample valuePurpose
Input sourceSYNTHETIC_PREVIEWIdentifies the input class without exposing a personal file.
Genome buildGRCh37 → GRCh38Documents coordinate normalization.
Evidence statePREVIEW_ONLYPrevents illustrative records being confused with real findings.
Evidence fingerprintexample_sha256_not_a_real_runShows where deterministic provenance appears in a real report.
Clinical finalitySCREENING_ONLYDemonstrates the report's explicit clinical boundary.
SECTION 07

Sources, Licensing & Data Use

Representative scientific resources and source roles used by the DNA_CHECKS evidence system.

10 sources shown
Representative scientific resources

These are real categories of sources used by DNA_CHECKS. The preview does not reproduce personal evidence records from the uploaded report.

  • ClinVar — variant-level clinical assertions and review status.
  • ClinGen — gene-disease validity and clinical actionability context.
  • GenCC — gene-disease relationship assertions.
  • gnomAD — population allele-frequency context.
  • CPIC / ClinPGx — pharmacogenomic guideline and allele-definition context.
  • DPWG — pharmacogenomic guideline context.
  • NHGRI-EBI GWAS Catalog — curated non-clinical association evidence.
  • AADR — ancient-DNA reference data used for dated origin comparisons.
  • HGDP + 1000 Genomes — modern reference modelling.
  • HPO / MONDO / Orphadata — phenotype and disease ontology context.
METHODOLOGY

Scientific boundaries

A real DNA_CHECKS report is generated from deterministic evidence pipelines. The scientific states, rankings, evidence gates, provenance and safety boundaries are not decided by generative AI.

  • Consumer SNP-array calls are treated as screening inputs, not clinical diagnoses.
  • Missing genotype information remains unknown rather than being silently assumed to be reference.
  • Ancient and modern origins are separate reference-comparison domains, not ancestry percentages.
  • Pharmacogenomic evidence is coverage-aware and does not authorize medication changes.

DNA_CHECKS · public synthetic preview