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Approaches that can flexibly and intuitively, integrate known gene-phenotype associations in the context of molecular signaling networks are vital to effectively prioritize and biologically interpret genes underlying disease traits of interest.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>We describe Phenotype Consensus Analysis (PCAN); a method to assess the consensus semantic similarity of phenotypes in a candidate gene\u2019s signaling neighborhood. We demonstrate that significant phenotype consensus (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05) is observable for ~67% of 4,549 OMIM disease-gene associations, using a combination of high quality String interactions\u2009+\u2009Metabase pathways and use Joubert Syndrome to demonstrate the ease with which a significant result can be interrogated to highlight discriminatory traits linked to mechanistically related genes.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>We advocate phenotype consensus as an intuitive and versatile method to aid disease-gene association, which naturally lends itself to the mechanistic deconvolution of diverse phenotypes. We provide PCAN to the community as an R package (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/bioconductor.org\/packages\/PCAN\/\">http:\/\/bioconductor.org\/packages\/PCAN\/<\/jats:ext-link>) to allow flexible configuration, extension and standalone use or integration to supplement existing gene prioritization workflows.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-016-1401-2","type":"journal-article","created":{"date-parts":[[2016,12,7]],"date-time":"2016-12-07T00:41:15Z","timestamp":1481071275000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["PCAN: phenotype consensus analysis to support disease-gene association"],"prefix":"10.1186","volume":"17","author":[{"given":"Patrice","family":"Godard","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3571-0374","authenticated-orcid":false,"given":"Matthew","family":"Page","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,7]]},"reference":[{"key":"1401_CR1","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1038\/nrd3534","volume":"10","author":"I Kola","year":"2011","unstructured":"Kola I, Bell J. 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