Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1784872126971379712 |
---|---|
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) |
format | Online Article Text |
id | pubmed-9850185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT climentegonzalezhector anetworkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection AT azencottchloeagathe anetworkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection AT yamadamakoto anetworkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection AT climentegonzalezhector networkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection AT azencottchloeagathe networkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection AT yamadamakoto networkguidedprotocoltodiscoversusceptibilitygenesingenomewideassociationstudiesusingstabilityselection |