Implementing Genomic Interoperability Standards for Rare Disease Diagnostics and Population Genomics in Tanzania  

Embedding interoperability standards into Tanzania’s emerging rare disease ecosystem, beginning  with Phenopackets and a pathway toward responsible federated discovery. 

Background

Tanzania is beginning to develop complementary components of a rare disease ecosystem, including  registry and surveillance activities, structured clinical phenotyping, and genomic diagnostic pathways. If  these components develop independently, valuable clinical and genomic data may become difficult to  connect, discover, or reuse across institutions and internationally. This GIF Project uses this early stage of  development as an opportunity to embed interoperability from the outset. Led through the Tanzania Human  Genetics Organization (THGO), the project will use real-world rare disease workflows as implementation use  cases for GA4GH standards. The initial focus is the GA4GH Phenopacket Schema, using HPO-encoded  phenotypes together with relevant clinical and genomic information to create machine-readable case  representations. The project will also assess the technical and governance requirements for future Beacon  v2-enabled federated discovery and potential participation in Federated Variant-Level Matching (VLM), while  keeping access to underlying data locally governed. 

Ongoing Work

  • Months 0–3: map rare disease data workflows, define priority use cases and minimum data  requirements, and review governance needs. 
  • Months 3–6: establish a working Phenopackets workflow using synthetic/test cases initially and real,  appropriately consented cases as available. 
  • Months 6–12: validate machine-readable phenotype–genotype case representations and assess Beacon  v2/VLM technical and governance readiness. 
  • Months 12–18: evaluate implementation, document barriers and adaptations, complete governance  mapping, share lessons, and assess expansion to additional Tanzanian datasets and institutions.

How to participate

We welcome collaboration from GA4GH community members and other implementers with practical  experience in Phenopackets, Beacon v2, Federated Variant-Level Matching, rare disease data  interoperability, and consent/data-use governance. We are particularly interested in implementation  guidance, technical review, interoperability testing, and lessons from federated rare disease systems. 

 

 

References 

Getting involved with the Implementing Genomic Interoperability Standards for Rare Disease Diagnostics and Population Genomics in Tanzania  

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GIF Project Champion
  • Mohamed Zahir Alimohamed