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GA4GH-aligned research access

Find consented genomic cohorts faster

MyDNABank helps researchers search structured genomic and phenotype profiles, confirm consent scope, request access, and run approved analysis inside a governed environment.

Cohort discovery Structured phenotype data Consent scope visible Approved analysis Governance record

The research bottleneck

Genomic research is slowed by consent, access, and inconsistent metadata

Researchers need to know whether the right cohort exists and whether consent allows the intended use before spending months on recruitment, access negotiations, and analysis planning.

Finding participants with the right phenotype, condition, data type, and consent scope often takes too long.

Datasets vary in sequencing depth, file type, metadata, provenance, and readiness for analysis.

Consent terms need to be clear enough to compare, enforce, and match to research purpose.

Cohort discovery

Finding participants with the right phenotype, condition, data type, and consent scope often takes too long.

Data quality

Datasets vary in sequencing depth, file type, metadata, provenance, and readiness for analysis.

Consent scope

Consent terms need to be clear enough to compare, enforce, and match to research purpose.

Governance

Institutions need a clear record of who requested access, what was approved, and what analysis occurred.

Research workflow

Discover. Confirm consent. Request access. Analyse

The workflow is designed to make cohort feasibility, consent scope, and approved analysis clearer before deeper access work begins.

Create a researcher profile with institution, role, project details, and research purpose.

Search cohort feasibility using structured phenotype, genomic availability, and data quality markers.

Check whether consent scope and permitted data use match the intended research purpose.

Register

Create a researcher profile with institution, role, project details, and research purpose.

Discover

Search cohort feasibility using structured phenotype, genomic availability, and data quality markers.

Confirm consent

Check whether consent scope and permitted data use match the intended research purpose.

Request and analyse

Submit access details, run approved analysis, and receive permitted outputs under governance controls.

GA4GH-aligned by design

A coherent standards architecture for consent-governed research access

MyDNABank is designed around a practical combination of GA4GH standards that cover discovery, consent, identity, data access, and secure compute.

The architecture combines Beacon, Phenopackets, DUO, MRCG, Passports, AAI, DRS, WES and TES to support consent-governed discovery, access, compute, and permitted outputs.

Discover

Cohort discovery and structured phenotype data.

Match consent

Machine-readable data use and consent mapping.

Verify researcher

Identity, affiliation, permissions, and access control.

Access governed data

Standardized data access patterns under platform control.

Run secure compute

Workflow and task execution close to the data.

Return outputs

Approved results only. No unmanaged raw genomic data downloads.

GA4GH standards

How GA4GH standards support research access

These standards help structure cohort discovery, consent, researcher identity, governed data access, and secure compute.

Relevant GA4GH areas

  • DURI: consent, researcher identity, DUO, Passports, and AAI.
  • Cloud: DRS, WES, and TES for governed data access and secure compute.
  • Discovery: Beacon and cohort discovery workflows.
  • MRCG: consent language mapped to machine-readable data use terms.

What researchers can search

Move from broad recruitment to structured cohort feasibility

Researchers should understand whether a useful cohort exists and whether consent permits the intended use before requesting deeper access.

Search fields

  • Disease area and phenotype
  • Age range and sex
  • Ancestry or population group
  • Family history
  • Gene or variant of interest
  • Available WGS, VCF, BAM, CRAM, or phenotype data
  • Sequencing depth and data quality markers
  • Consent category or permitted research use
  • Research participation status
  • Recontact eligibility

From search to outputs

From cohort search to approved research outputs

Researchers need clarity before they invest time in a project. MyDNABank separates what can be discovered, what requires approval, and what outputs can be returned after consent and governance review.

See whether a relevant cohort exists by phenotype, data type, consent scope, and available genomic data.

Understand whether the intended research use matches the consent terms before making a deeper access request.

Submit the research purpose, analysis plan, institution details, and required output type.

Cohort feasibility

See whether a relevant cohort exists by phenotype, data type, consent scope, and available genomic data.

Consent fit

Understand whether the intended research use matches the consent terms before making a deeper access request.

Access request

Submit the research purpose, analysis plan, institution details, and required output type.

Approved analysis

Run approved analysis inside a governed environment once the request and consent conditions are met.

Permitted outputs

Receive only the results allowed by the approved project, such as aggregate findings, summary outputs, or approved variant-level results.

Governance record

Maintain a clear record of researcher identity, institution, purpose, consent scope, analysis event, and output release.

Research use cases

Designed for high-value genomic research workflows

Rare disease studies

Find participants with specific phenotypes and relevant genomic data availability.

Study gene-drug response signals in consented cohorts.

Explore genomic and phenotype patterns relevant to cancer risk, stratification, treatment response, or biomarker discovery.

Rare disease studies

Find participants with specific phenotypes and relevant genomic data availability.

Pharmacogenomics

Study gene-drug response signals in consented cohorts.

Oncology research

Explore genomic and phenotype patterns relevant to cancer risk, stratification, treatment response, or biomarker discovery.

Case-control studies

Identify matching cases and controls through structured cohort discovery.

Population genomics

Support population-level research with structured metadata and consent scope.

Longitudinal cohorts

Support future recontact, updated consent, and ongoing research participation.

Governed analysis

Governed analysis without unmanaged data downloads

Governance record

Approved researchers run permitted analysis inside a controlled environment. MyDNABank is designed to support usable research outputs without unmanaged raw genomic data downloads.

Governance record

  • Researcher identity
  • Institution and project details
  • Stated research purpose
  • Consent scope
  • Approval or decline decision
  • Analysis event
  • Permitted output release