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CDG: an online server proposing biologically closest disease-causing genes and pathologies and its application to primary immunodeficiency

Requena, David, Maffucci, Patrick, Bigio, Benedetta, Shang, Lei, Abhyankar, Avinash, Boisson, Bertrand, Stenson, Peter D, Cooper, David N, Cunningham-Rundles, Charlotte, Casanova, Jean-Laurent, Abel, Laurent and Itan, Yuval 2018. CDG: an online server proposing biologically closest disease-causing genes and pathologies and its application to primary immunodeficiency. Frontiers in Immunology 9 , 1340. 10.3389/fimmu.2018.01340

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Abstract

Summary: In analyses of exome data, candidate gene selection can be challenging in the absence of variants in known disease-causing genes. We calculated the putative biologically closest known disease-causing genes for 13,005 human genes not currently reported to be disease-causing. We used these data to construct the Closest Disease-Causing Genes (CDG) server, which can be used to infer the closest associated disease-causing genes and phenotypes for lists of candidate genes. This resource will be a considerable asset for ascertaining the poten-tial relevance of lists of genes to specific diseases of interest.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: Frontiers Research Foundation
ISSN: 1664-3224
Date of First Compliant Deposit: 4 July 2018
Date of Acceptance: 29 May 2018
Last Modified: 29 May 2019 23:22
URI: http://orca.cf.ac.uk/id/eprint/112962

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