An area of CHIP pioneering innovation is federated networks, a practice which enables decentralized approaches to data distributed across sites. From our faculty’s earliest forays into the field with the Shared Pathology Information Network (The NCI funded “Napster for pathology samples”) to the first demonstration of federated research networks for biosurveillance, to development of the Shared Health Research Innovation Network (SHRINE) network.

Our program has worked with sister academic medical institutions to establish globally scalable technology, policies and procedures for sharing genomic, phenotypic and biospecimen data on broadly consented cohorts, across sites of care. We have, in partnership with our sister sites, developed two federated data sharing commons, the Genomic Research and Innovation Network (GRIN) and the Genomic Information Commons (GIC). Our faculty have developed the first query portal in the world that provides a uniform interface that enables users to retrieve genomic data, phenotypic data and biospecimen metadata in a single query. The technology, policies, and procedures that we have developed enable us to acquire additional partners and scale our federated data sharing globally.

Projects

Publications

Diossy M, Sztupinszki Z, Borcsok J, Krzystanek M, Tisza V, Spisak S, Rusz O, Timar J, Csabai I, Fillinger J, Moldvay J, Pedersen AG, Szuts D, Szallasi Z. A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures. NPJ precision oncology 2021.

Abman SH, Mullen MP, Sleeper LA, Austin ED, Rosenzweig EB, Kinsella JP, Ivy D, Hopper RK, Usha Raj J, Fineman J, Keller RL, Bates A, Krishnan US, Avitabile CM, Davidson A, Natter MD, Mandl KD, . Characterisation of Pediatric Pulmonary Hypertensive Vascular Disease from the PPHNet Registry. The European respiratory journal 2021.

Lu FS, Nguyen AT, Link NB, Molina M, Davis JT, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M. Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLoS computational biology 2021.

Aiken EL, Nguyen AT, Viboud C, Santillana M. Toward the use of neural networks for influenza prediction at multiple spatial resolutions. Science advances 2021.