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A Propagation-based Algorithm for Inferring Gene-Disease Associations

dc.contributor.authorVanunu, Oron
dc.contributor.authorSharan, Roded
dc.contributor.editorBeyer, Andreas
dc.contributor.editorSchroeder, Michael
dc.date.accessioned2019-04-03T12:07:34Z
dc.date.available2019-04-03T12:07:34Z
dc.date.issued2008
dc.description.abstractA fundamental challenge in human health is the identification of disease- causing genes. Recently, several studies have tackled this challenge via a two-step approach: first, a linkage interval is inferred from population studies; second, a computational approach is used to prioritize genes within this interval. State-of-the-art methods for the latter task are based on the observation that genes causing the same or similar diseases tend to lie close to one another in a network of protein-protein or functional interactions. However, most of these approaches use only local network information in the inference process. Here we provide a global, network-based method for prioritizing disease genes. The method is based on formulating constraints on the prioritization function that relate to its smoothness over the network and usage of prior information. A propagation-based method is used to compute a function satisfying the constraints. We test our method on gene-disease association data in a cross-validation setting, and compare it to extant prioritization approaches. We show that our method provides the best overall performance, ranking the true causal gene first for 29% of the 1,369 diseases with a known gene in the OMIM knowledgebase.en
dc.identifier.isbn978-3-88579-226-0
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21221
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofGerman Conference on Bioinformatics
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-136
dc.titleA Propagation-based Algorithm for Inferring Gene-Disease Associationsen
dc.typeText/Conference Paper
gi.citation.endPage63
gi.citation.publisherPlaceBonn
gi.citation.startPage54
gi.conference.date09.-12.09.2008
gi.conference.locationDresden
gi.conference.sessiontitleRegular Research Papers

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