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Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network

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Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network

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dc.contributor.author Li, Yongjin
dc.contributor.author Patra, Jagdish Chandra
dc.date.accessioned 2011-10-13T00:49:39Z
dc.date.available 2011-10-13T00:49:39Z
dc.date.copyright 2010
dc.date.issued 2011-10-13
dc.identifier.citation Li, Y. & Patra, J. C. (2010). Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network. Bioinformatics, 26, 1219-1224.
dc.identifier.issn 1367-4803
dc.identifier.uri http://hdl.handle.net/10220/7252
dc.description.abstract Motivation: Clinical diseases are characterized by distinct phenotypes. To identify disease genes is to elucidate the gene–phenotype relationships. Mutations in functionally related genes may result in similar phenotypes. It is reasonable to predict disease-causing genes by integrating phenotypic data and genomic data. Some genetic diseases are genetically or phenotypically similar. They may share the common pathogenetic mechanisms. Identifying the relationship between diseases will facilitate better understanding of the pathogenetic mechanism of diseases.Results: In this article, we constructed a heterogeneous network by connecting the gene network and phenotype network using the phenotype–gene relationship information from the OMIM database. We extended the random walk with restart algorithm to the heterogeneous network. The algorithm prioritizes the genes and phenotypes simultaneously. We use leave-one-out cross-validation to evaluate the ability of finding the gene–phenotype relationship. Results showed improved performance than previous works. We also used the algorithm to disclose hidden disease associations that cannot be found by gene network or phenotype network alone. We identified 18 hidden disease associations, most of which were supported by literature evidence.
dc.format.extent 6 p.
dc.language.iso en
dc.relation.ispartofseries Bioinformatics
dc.rights © 2010 The Author.
dc.subject DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences.
dc.title Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1093/bioinformatics/btq108
dc.description.version Published version
dc.identifier.rims 152419

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