Please use this identifier to cite or link to this item:
Title: brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets
Austin Authors: Freytag, Saskia;Burgess, Rosemary;Oliver, Karen L;Bahlo, Melanie
Affiliation: Population Health and Immunity Divison, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
Epilepsy Research Centre, Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia
School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
Issue Date: 8-Jun-2017
Publication information: Genome Medicine 2017; 9(1): 55
Abstract: BACKGROUND: The pathogenesis of neurological and mental health disorders often involves multiple genes, complex interactions, as well as brain- and development-specific biological mechanisms. These characteristics make identification of disease genes for such disorders challenging, as conventional prioritisation tools are not specifically tailored to deal with the complexity of the human brain. Thus, we developed a novel web-application-brain-coX-that offers gene prioritisation with accompanying visualisations based on seven gene expression datasets in the post-mortem human brain, the largest such resource ever assembled. RESULTS: We tested whether our tool can correctly prioritise known genes from 37 brain-specific KEGG pathways and 17 psychiatric conditions. We achieved average sensitivity of nearly 50%, at the same time reaching a specificity of approximately 75%. We also compared brain-coX's performance to that of its main competitors, Endeavour and ToppGene, focusing on the ability to discover novel associations. Using a subset of the curated SFARI autism gene collection we show that brain-coX's prioritisations are most similar to SFARI's own curated gene classifications. CONCLUSIONS: brain-coX is the first prioritisation and visualisation web-tool targeted to the human brain and can be freely accessed via .
DOI: 10.1186/s13073-017-0444-y
PubMed URL:
Type: Journal Article
Appears in Collections:Journal articles

Show full item record

Page view(s)

checked on Dec 2, 2022

Google ScholarTM


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.