Network Biology Empowering Detection and Understanding of Interactions Between Genetic Factors in Development of Complex Phenotypes

Jesper Tegner*, Francesco Marabita, David Gomez-Cabrero

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Following the success of genome-wide association studies, it is now important to unravel interactions between genes as well as between genes and environment. Here we discuss how to interpret higher order statistical interactions in terms of underlying biological processes purportedly generating such dependencies. In this chapter, we specifically review how biological networks, such as those generated from systems biological approaches, could possibly facilitate the interpretation of observed interactions in the development of complex phenotypes, e.g., complex diseases. We conclude that the statistical challenge is essentially a high-dimensional feature selection problem and there is therefore a need to construct intelligent priors using biological networks as a tool for the discovery and interpretation of interactions.

Original languageEnglish (US)
Title of host publicationBetween the Lines of Genetic Code
Subtitle of host publicationGenetic Interactions in Understanding Disease and Complex Phenotypes
PublisherElsevier Inc.
Pages175-194
Number of pages20
ISBN (Print)9780123970176
DOIs
StatePublished - Jan 1 2014

Keywords

  • Big Data
  • Computing
  • Genetic interactions
  • Network biology
  • Prediction
  • Systems biology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Fingerprint Dive into the research topics of 'Network Biology Empowering Detection and Understanding of Interactions Between Genetic Factors in Development of Complex Phenotypes'. Together they form a unique fingerprint.

Cite this