Network approaches to systems biology analysis of complex disease: Integrative methods for multi-omics data

Jingwen Yan, Shannon L. Risacher, Li Shen, Andrew J. Saykin

Research output: Contribution to journalArticle

44 Scopus citations

Abstract

In the past decade, significant progress has been made in complex disease research across multiple omics layers from genome, transcriptome and proteome to metabolome. There is an increasing awareness of the importance of biological interconnections, and much success has been achieved using systems biology approaches. However, because of the typical focus on one single omics layer at a time, existing systems biology findings explain only a modest portion of complex disease. Recent advances in multi-omics data collection and sharing present us new opportunities for studying complex diseases in a more comprehensive fashion, and yet simultaneously create new challenges considering the unprecedented data dimensionality and diversity. Here, our goal is to review extant and emerging network approaches that can be applied across multiple biological layers to facilitate a more comprehensive and integrative multilayered omics analysis of complex diseases.

Original languageEnglish (US)
Pages (from-to)1370-1381
Number of pages12
JournalBriefings in Bioinformatics
Volume19
Issue number6
DOIs
StatePublished - May 30 2017

Keywords

  • Computational methods
  • Integrative omics
  • Network approaches
  • Systems biology

ASJC Scopus subject areas

  • Information Systems
  • Molecular Biology

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