CDG: An Online Server for Detecting Biologically Closest Disease-Causing Genes and its Application to Primary Immunodeficiency

CDG: An Online Server for Detecting Biologically Closest Disease-Causing Genes and its Application to Primary Immunodeficiency

High-throughput genomic technologies yield about 20,000 variants in the protein-coding exome of each individual. A commonly used approach to select candidate disease-causing variants is to test whether the associated gene has been previously reported to be disease-causing. In the absence of known di...

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Bibliographic Details
Main Authors: David Requena, Patrick Maffucci, Benedetta Bigio, Lei Shang, Avinash Abhyankar, Bertrand Boisson, Peter D. Stenson, David N. Cooper, Charlotte Cunningham-Rundles, Jean-Laurent Casanova, Laurent Abel, Yuval Itan
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Immunology
Subjects:
disease-causing gene
gene filtering
next-generation sequencing
genomics
human gene connectome
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2018.01340/full

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https://www.frontiersin.org/article/10.3389/fimmu.2018.01340/full

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