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The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system
- Source :
- Genetics in Medicine
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Purpose Clinicians and researchers must contextualize a patient’s genetic variants against population-based references with detailed phenotyping. We sought to establish globally scalable technology, policy, and procedures for sharing biosamples and associated genomic and phenotypic data on broadly consented cohorts, across sites of care. Methods Three of the nation’s leading children’s hospitals launched the Genomic Research and Innovation Network (GRIN), with federated information technology infrastructure, harmonized biobanking protocols, and material transfer agreements. Pilot studies in epilepsy and short stature were completed to design and test the collaboration model. Results Harmonized, broadly consented institutional review board (IRB) protocols were approved and used for biobank enrollment, creating ever-expanding, compatible biobanks. An open source federated query infrastructure was established over genotype–phenotype databases at the three hospitals. Investigators securely access the GRIN platform for prep to research queries, receiving aggregate counts of patients with particular phenotypes or genotypes in each biobank. With proper approvals, de-identified data is exported to a shared analytic workspace. Investigators at all sites enthusiastically collaborated on the pilot studies, resulting in multiple publications. Investigators have also begun to successfully utilize the infrastructure for grant applications. Conclusions The GRIN collaboration establishes the technology, policy, and procedures for a scalable genomic research network.
- Subjects :
- 0301 basic medicine
education.field_of_study
Computer science
business.industry
Interoperability
Population
Information technology
Genomics
030105 genetics & heredity
Institutional review board
Biobank
Data science
Article
03 medical and health sciences
genomic medicine
electronic health records
biobanking
030104 developmental biology
Open source
information technology
education
business
Genetics (clinical)
Material transfer
federated networks
Subjects
Details
- ISSN :
- 10983600
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Genetics in Medicine
- Accession number :
- edsair.doi.dedup.....e2bcf3e4ee8562cecd775d190e3d12ad