CHIP is advancing the incorporation of genomic and other omics data into the practice of medicine through discovery and new care models. Medicine investigates the complex DNA of an individual for effective diagnosis and tailored treatment.

Our program has worked with sister academic medical institutions to share genomic data on broadly consented cohorts, across sites of care. We have, in partnership with our sister sites, developed two federated genomic data sharing commons, the Genomic Information Commons (GIC) and the Genomic Research and Innovation Network (GRIN).

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.