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Consent-governed genomic insight

Genomic insight without raw data custody

MyDNABank helps biotech and precision medicine teams discover, request and analyse consented genomic cohorts through a standards-based access model. Raw participant data is not downloaded or handed over.

Trial enrichment Biomarker discovery Target validation Structured phenotype data No raw data custody

Why current access models break

Precision medicine programmes need genomic data, but raw data movement creates risk

Biotech and precision medicine programmes need high-quality genomic and phenotype data. Current access models are often fragmented, slow, inconsistent, and difficult to govern.

Useful cohorts sit across institutions, labs, biobanks, and consumer platforms.

Commercial research permissions need to be clear, traceable, and enforceable.

Teams often cannot assess cohort availability before expensive access work begins.

Data silos

Useful cohorts sit across institutions, labs, biobanks, and consumer platforms.

Consent complexity

Commercial research permissions need to be clear, traceable, and enforceable.

Slow feasibility

Teams often cannot assess cohort availability before expensive access work begins.

Custody exposure

Taking possession of raw data increases governance, security, and liability burden.

Precision medicine context

Precision medicine needs more than genomes

Whole genome sequencing alone is not enough. Precision medicine depends on linking genomic data with phenotype, lifestyle, outcomes, and longitudinal health signals.

Disease area, symptoms, family history, medication response, and participant-reported context.

Future health updates, recontact pathways, and evolving participant data over time.

Nutrition, fitness, environmental, and behavioural signals that improve cohort understanding.

Structured phenotype

Disease area, symptoms, family history, medication response, and participant-reported context.

Longitudinal insight

Future health updates, recontact pathways, and evolving participant data over time.

Lifestyle context

Nutrition, fitness, environmental, and behavioural signals that improve cohort understanding.

Research-ready structure

Phenotype and genomic data designed for searchable cohort feasibility and governed analysis workflows.

Commercial use cases

Built for precision medicine workflows

MyDNABank supports approved commercial research where cohort discovery, consent, analysis, and outputs need strong governance.

Test whether genetic variation supports a target in consented cohorts.

Identify genomic and phenotype patterns linked to disease subtypes or response groups.

Find genetically stratified populations before recruitment.

Drug target validation

Test whether genetic variation supports a target in consented cohorts.

Biomarker discovery

Identify genomic and phenotype patterns linked to disease subtypes or response groups.

Clinical trial enrichment

Find genetically stratified populations before recruitment.

Pharmacogenomics

Study gene-drug response signals across approved cohorts.

Companion diagnostics

Support discovery and validation of marker-defined patient groups.

Real-world evidence

Analyse consented genomic and phenotype data under controlled access.

Governed access

How governed access works

MyDNABank is designed around cohort discovery, consent-aware access, controlled analysis, and approved research outputs.

Search structured genomic and phenotype profiles to evaluate cohort feasibility.

Confirm whether the intended commercial or research use aligns with participant consent scope.

Approved workflows run inside a governed environment designed around controlled analysis.

Discover cohorts

Search structured genomic and phenotype profiles to evaluate cohort feasibility.

Review consent

Confirm whether the intended commercial or research use aligns with participant consent scope.

Run approved analysis

Approved workflows run inside a governed environment designed around controlled analysis.

Receive permitted outputs

Researchers receive approved outputs and findings without unmanaged raw data transfers.