Network approaches for omics studies of neurodegenerative diseases

Na Zhao, Zachary Quicksall, Yan W. Asmann, Yingxue Ren

Research output: Contribution to journalReview articlepeer-review


The recent methodological advances in multi-omics approaches, including genomic, transcriptomic, metabolomic, lipidomic, and proteomic, have revolutionized the research field by generating “big data” which greatly enhanced our understanding of the molecular complexity of the brain and disease states. Network approaches have been routinely applied to single-omics data to provide critical insight into disease biology. Furthermore, multi-omics integration has emerged as both a vital need and a new direction to connect the different layers of information underlying disease mechanisms. In this review article, we summarize popular network analytic approaches for single-omics data and multi-omics integration and discuss how these approaches have been utilized in studying neurodegenerative diseases.

Original languageEnglish (US)
Article number984338
JournalFrontiers in Genetics
StatePublished - Sep 16 2022


  • Alzheimer’s disease
  • multi-omics integration
  • network
  • neurodegenerative disease
  • omics

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Genetics(clinical)


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