Preventive & longevity care
For longevity clinics, preventive medicine, executive health, and longitudinal health programmes.
PRS screening · prevention · longitudinal follow-upPolygenic Scores as a Service
Polygenic score infrastructure.Built around care.
From request and sample to validated scoring, interpretation, reporting, and integration — delivered under your brand or ours for preventive, clinical, and research settings.
One service layer
Configured for the care model around it
End-to-end delivery
One operational pathway across intake, laboratory processing, analysis, reporting, and follow-up.
White-label by design
Delivered as Starling, co-branded, or embedded within the customer experience and systems.
Data-to-report orchestration
Genotyping, imputation, versioned scoring, interpretation, and reporting organised around the intended PRS use.
Built around care
One PRS backbone for different models of care
Starling adapts the same controlled polygenic-score service to the way each organisation requests, delivers, and uses probabilistic PRS information.
General & preventive medicine
For general medicine, primary-care groups, and multidisciplinary clinics incorporating polygenic scores into prevention and risk-stratification pathways.
Prevention pathways · risk stratification · professional reportingSpecialist & institutional care
For hospitals, laboratories, private providers, biobanks, and translational research teams.
PRS validation · cohort analysis · integrated reportingFrom request to report
A complete Polygenic Scores as a Service pathway
Every PRS programme follows the same traceable operating model, while data intake, scoring, interpretation, delivery, and integrations remain configurable.
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01
Request
Clinical, research, portal, or API-led intake.
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02
Sample
Consent, logistics, activation, and tracking.
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03
Assay
Fit-for-purpose platform and laboratory route.
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04
Analysis
Quality control, bioinformatics, and versioned pipelines.
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05
Interpretation
Evidence and context translated for the intended setting.
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06
Delivery
Reports, structured data, and system integration.
Security · traceability · version control · quality documentation · evidence management
Explore the platform
One focused service
Polygenic scores, delivered end to end
The public portfolio is focused on PRS and PGS. Each module supports a different part of the same controlled path from programme design to reporting and integration.
01
Intended use
Programme & pathway design
Define population, intended use, evidence boundaries, consent, reporting roles, and implementation requirements before scoring begins.
02
Sample or data
Genotyping & data intake
Work from a qualified genotyping route or controlled customer genotype data, with identity, format, coverage, and sample-quality checks.
03
Comparable input
Imputation & harmonisation
Versioned reference panels and controlled harmonisation create the variant coverage required by the selected score models.
04
PRS / PGS
Versioned polygenic scoring
Selected models run through transparent, versioned pipelines with allele alignment, model checks, score calculation, and traceable provenance.
05
Evidence in context
Interpretation & validation
Scores are interpreted against calibration, ancestry, reference populations, published evidence, and the clinical or research context.
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White-label delivery
Reporting & integration
Recipient, professional, technical, and structured outputs can be delivered under your brand and returned to the systems your organisation uses.
Configurable reporting
From analysis to reporting in your care model
See how Starling translates polygenic scores into a visual recipient layer, professional interpretation, model-level QC, and structured output for your organisation.
Starling Genomics · Fictional demonstration data · configurable B2B output
2 elevated of 4
4 scores
Configurable
GRCh38
Heart & circulation · at a glance
Inherited predisposition
Hypertension
Position 94 out of 100
High
Your position
Lower inherited predispositionHigher inherited predisposition
Of 100 people, about 94 have a lower or equal inherited predisposition and 6 have a higher predisposition.
- Model comparison
- 1.72x
- Coverage
- 100%
Coronary artery disease
Position 93 out of 100
High
Your position
Lower inherited predispositionHigher inherited predisposition
Of 100 people, about 93 have a lower or equal inherited predisposition and 7 have a higher predisposition.
- Model comparison
- 2.12x
- Coverage
- 100%
Stroke
Position 39 out of 100
Not elevated
Your position
Lower inherited predispositionHigher inherited predisposition
Of 100 people, about 39 have a lower or equal inherited predisposition and 61 have a higher predisposition.
- Model comparison
- 0.96x
- Coverage
- 100%
Atrial fibrillation
Position 17 out of 100
Not elevated
Your position
Lower inherited predispositionHigher inherited predisposition
Of 100 people, about 17 have a lower or equal inherited predisposition and 83 have a higher predisposition.
- Model comparison
- 0.63x
- Coverage
- 100%
Detailed results
Heart & circulation
Read the result in three steps: percentile shows relative position, model comparison summarises the published association, and coverage confirms whether the required variants passed pipeline checks. None of these is a diagnosis.
Heart & circulation
Coronary artery disease (CAD)
High93Position 93 out of 100
Your position
Lower inherited predispositionHigher inherited predisposition
Of 100 people, about 93 have a lower or equal inherited predisposition and 7 have a higher predisposition.
What this means
This fictional result places the individual near the 93rd percentile of the stated reference population. It indicates relatively higher inherited predisposition and should be interpreted alongside age, blood pressure, cholesterol, family history, and the intended care pathway.
Reporting and white label
One score, four interpretation layers
The same PRS result can be explained differently for recipients, care professionals, technical reviewers, and connected systems without changing the underlying model output.
Recipient layer
A percentile visual, plain-language meaning, and an explicit reminder that PRS describes probability rather than diagnosis.
Professional layer
Score position, model comparison, family and clinical context, and considerations for qualified follow-up.
Technical and QC layer
Model identifier, genome build, ancestry context, coverage, validation metrics, pipeline version, and traceability.
Structured-data layer
Selected PRS fields can return to an EHR, LIMS, data warehouse, or research environment through controlled interfaces.
White-label presentation
The same controlled layers can be presented in your brand, language, portal, and reporting workflow.
Three design questions for every implementation
What is the intended use?
Risk stratification, prevention, research, or another clearly scoped PRS pathway.
Who receives which information?
Concise explanations for recipients, professional interpretation for care providers, and technical detail for authorised teams.
Where should the result land?
In a report, portal, customer system, dataset, or a combination of these.
Professional appendix
Model, performance & QC
Transparent model-level metrics for professional review.
All checks passed| Condition / model | PRS | Effect | Validation | Coverage | QC |
|---|---|---|---|---|---|
| HypertensionPRS_BP · v2026.1 | 94z +1.56 | 1.72xper SD | 0.716AUC | 100% | Pass |
| Coronary artery diseasePRS_CAD · v2026.1 | 93z +1.48 | 2.12xper SD | 0.735AUC | 100% | Pass |
| StrokePRS_STR · v2026.1 | 39z -0.27 | 0.96xper SD | 0.701AUC | 100% | Pass |
| Atrial fibrillationPRS_AF · v2026.1 | 17z -1.15 | 0.63xper SD | 0.759AUC | 100% | Pass |
Under your brand or ours
A delivery model that fits the organisation
The experience can be visibly Starling, co-branded, or embedded behind the customer brand while the scientific and operational foundation remains controlled.
Starling
Starling-branded reports and service experience.
Co-branded
A shared clinical or programme identity.
White-label
Customer-branded portals, reports, and delivery.
Configurable experience
- Brand and domain
- Languages and report layers
- Order and notification flows
- Delivery formats and integrations
Controlled foundation
- Quality control
- Traceability and audit trail
- Evidence and version management
- Security and data governance
Ecosystem
Technology and service relationships
We combine genotyping, laboratory, and PRS analytics capabilities according to intended use, sample type, scale, and implementation setting.
