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...

Descripción completa

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:
Protocol
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
Descripción
Sumario: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).

Ejemplares similares