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A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection

We present a network-based protocol to discover susceptibility genes in case-control genome-wide association studies (GWASs). In short, this protocol looks for biomarkers that are informative of disease status and interconnected in an underlying biological network. This boosts discovery and interpre...

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Autores principales: Climente-González, Héctor, Azencott, Chloé-Agathe, Yamada, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850185/
https://www.ncbi.nlm.nih.gov/pubmed/36609152
http://dx.doi.org/10.1016/j.xpro.2022.101998
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author Climente-González, Héctor
Azencott, Chloé-Agathe
Yamada, Makoto
author_facet Climente-González, Héctor
Azencott, Chloé-Agathe
Yamada, Makoto
author_sort Climente-González, Héctor
collection PubMed
description We present a network-based protocol to discover susceptibility genes in case-control genome-wide association studies (GWASs). In short, this protocol looks for biomarkers that are informative of disease status and interconnected in an underlying biological network. This boosts discovery and interpretability. Moreover, the protocol tackles the instability of network methods, producing a stable set of genes most likely to replicate in external cohorts. To apply the procedure to a provided GWAS dataset, install the required software and execute our command-line tool. For complete details on the use and execution of this protocol, please refer to Climente-González et al.(1)
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spelling pubmed-98501852023-01-20 A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection Climente-González, Héctor Azencott, Chloé-Agathe Yamada, Makoto STAR Protoc Protocol We present a network-based protocol to discover susceptibility genes in case-control genome-wide association studies (GWASs). In short, this protocol looks for biomarkers that are informative of disease status and interconnected in an underlying biological network. This boosts discovery and interpretability. Moreover, the protocol tackles the instability of network methods, producing a stable set of genes most likely to replicate in external cohorts. To apply the procedure to a provided GWAS dataset, install the required software and execute our command-line tool. For complete details on the use and execution of this protocol, please refer to Climente-González et al.(1) Elsevier 2023-01-06 /pmc/articles/PMC9850185/ /pubmed/36609152 http://dx.doi.org/10.1016/j.xpro.2022.101998 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Climente-González, Héctor
Azencott, Chloé-Agathe
Yamada, Makoto
A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title_full A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title_fullStr A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title_full_unstemmed A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title_short A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
title_sort network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850185/
https://www.ncbi.nlm.nih.gov/pubmed/36609152
http://dx.doi.org/10.1016/j.xpro.2022.101998
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