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

Ang Dong, Li Feng, Dengcheng Yang, Shuang Wu, Jinshuai Zhao, Jing Wang, Rongling Wu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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).

Original languageEnglish (US)
Article number100985
JournalSTAR Protocols
Volume2
Issue number4
DOIs
StatePublished - Dec 17 2021

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology

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