medRxiv preprint doi: https://doi.org/10.1101/2020.07.10.20150425; this version posted July 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Title InpherNet provides attractive monogenic disease gene hypotheses using patient genes indirect neighbors Authors Boyoung Yoo1, Johannes Birgmeier1, Jonathan A. Bernstein2, Gill Bejerano1,2,3,4,* Affiliations 1 Department of Computer Science, Stanford School of Engineering, Stanford, California 94305, USA 2 Department of Pediatrics, Stanford School of Medicine, Stanford, California 94305, USA 3 Department of Developmental Biology, Stanford School of Medicine, Stanford, California 94305, USA 4 Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California 94305, USA Corresponding Author *Gill Bejerano
[email protected] Stanford University Stanford, CA 94305 1 (650) 725-6792 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.07.10.20150425; this version posted July 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Abstract Close to 70% of patients suspected to have a Mendelian disease remain undiagnosed after genome sequencing, partly because our current knowledge about disease-causing genes is incomplete.