1. The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system
- Author
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Batsal Devkota, Michal Kouril, Joseph W. St. Geme, Alba Gutierrez, Simone Temporal, Keith Marsolo, Peter White, Joseph A. Majzoub, Alan Yen, Jaspreet Khanna, Julie Wijesooriya, Mike Furgason, Florence T. Bourgeois, Christopher Geehan, Adda Grimberg, Arnold W. Strauss, Becca Harper, Kristen Safier, Aleksandr Nikitin, Andrew Wooten, Vidhu V Thaker, Deanne Taylor, Ingo Helbig, Darlene Barkman, Anil Kumar Degala, Gelvina Stevenson, Eric D. Marsh, Colin P. Hawkes, Andrew Dauber, Jason Stedman, In-Hee Lee, Andrew M. Rupert, Gary R. Fleisher, Ramkrishna Chakrabarty, Piotr Sliz, Alyssa Ellis, Barbara Hallinan, Kenneth D. Mandl, Susan Kornetsky, Bryan A. Wolf, Philip Dexheimer, Alan H. Beggs, Yu Zhang, Erin M. Borglund, Joel N. Hirschhorn, Andrew Joseph Guidetti, Amy Schwarzhoff, Anna Poduri, Gabor Korodi, Louis J. Muglia, Prakash Velayutham, Christopher P. Kirby, Mike Pistone, Allison Heath, Parth Divekar, Judson Kilbourn, Ranjay Kumar, Guillaume Labilloy, Alka Chandel, Ian D. Krantz, Thomas N DeSain, Kristen L. Sund, Lisa J. Martin, James Morgan, Jeremy Nix, Sawona Biswas, Tracy A. Glauser, Paul Avillach, Sek Won Kong, Niloofar Jalali, Jeremy J. Corsmo, Anna Bartels, Amy Kratchman, and Bria Morgan
- 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 - 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.
- Published
- 2020