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FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits

We describe a statistical protocol of how to reconstruct and dissect functional omnigenic multilayer interactome networks that mediate complex dynamic traits in a genome-wide association study (GWAS). This protocol, named FunGraph, can analyze how each locus affects phenotypic variation through its...

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Detalles Bibliográficos
Autores principales: Dong, Ang, Feng, Li, Yang, Dengcheng, Wu, Shuang, Zhao, Jinshuai, Wang, Jing, Wu, Rongling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649398/
https://www.ncbi.nlm.nih.gov/pubmed/34927094
http://dx.doi.org/10.1016/j.xpro.2021.100985
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author Dong, Ang
Feng, Li
Yang, Dengcheng
Wu, Shuang
Zhao, Jinshuai
Wang, Jing
Wu, Rongling
author_facet Dong, Ang
Feng, Li
Yang, Dengcheng
Wu, Shuang
Zhao, Jinshuai
Wang, Jing
Wu, Rongling
author_sort Dong, Ang
collection PubMed
description We describe a statistical protocol of how to reconstruct and dissect functional omnigenic multilayer interactome networks that mediate complex dynamic traits in a genome-wide association study (GWAS). This protocol, named FunGraph, can analyze how each locus affects phenotypic variation through its own direct effect and a complete set of indirect effects due to regulation by other loci co-existing in large-scale networks. FunGraph is applicable to any GWAS aimed to characterize the genetic architecture of dynamic phenotypic traits. For complete details on the use and execution of this protocol, please refer to Wang et al. (2021).
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spelling pubmed-86493982021-12-17 FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits Dong, Ang Feng, Li Yang, Dengcheng Wu, Shuang Zhao, Jinshuai Wang, Jing Wu, Rongling STAR Protoc Protocol We describe a statistical protocol of how to reconstruct and dissect functional omnigenic multilayer interactome networks that mediate complex dynamic traits in a genome-wide association study (GWAS). This protocol, named FunGraph, can analyze how each locus affects phenotypic variation through its own direct effect and a complete set of indirect effects due to regulation by other loci co-existing in large-scale networks. FunGraph is applicable to any GWAS aimed to characterize the genetic architecture of dynamic phenotypic traits. For complete details on the use and execution of this protocol, please refer to Wang et al. (2021). Elsevier 2021-12-04 /pmc/articles/PMC8649398/ /pubmed/34927094 http://dx.doi.org/10.1016/j.xpro.2021.100985 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Dong, Ang
Feng, Li
Yang, Dengcheng
Wu, Shuang
Zhao, Jinshuai
Wang, Jing
Wu, Rongling
FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title_full FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title_fullStr FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title_full_unstemmed FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title_short FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
title_sort fungraph: a statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649398/
https://www.ncbi.nlm.nih.gov/pubmed/34927094
http://dx.doi.org/10.1016/j.xpro.2021.100985
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