Genetic and environmental perturbations lead to regulatory decoherence

Amanda Lea, Meena Subramaniam, Arthur Ko, Terho Lehtimäki, Emma Raitoharju, Mika Kähönen, Ilkka Seppälä, Nina Mononen, Olli T Raitakari, Mika Ala-Korpela, Päivi Pajukanta, Noah Zaitlen, Julien F Ayroles

Research output: Contribution to journalArticle (Academic Journal)peer-review

11 Citations (Scopus)
154 Downloads (Pure)

Abstract

Correlation among traits is a fundamental feature of biological systems that remains difficult to study. To address this problem, we developed a flexible approach that allows us to identify factors associated with inter-individual variation in correlation. We use data from three human cohorts to study the effects of genetic and environmental variation on correlations among mRNA transcripts and among NMR metabolites. We first show that environmental exposures (infection and disease) lead to a systematic loss of correlation, which we define as 'decoherence'. Using longitudinal data, we show that decoherent metabolites are better predictors of whether someone will develop metabolic syndrome than metabolites commonly used as biomarkers of this disease. Finally, we demonstrate that correlation itself is under genetic control by mapping hundreds of 'correlation quantitative trait loci (QTLs)'. Together, this work furthers our understanding of how and why coordinated biological processes break down, and points to a potential role for decoherence in disease.

Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Original languageEnglish
Article numbere40538
Number of pages28
JournaleLife
Volume8
DOIs
Publication statusPublished - 5 Mar 2019

Keywords

  • co-expression
  • decanalization
  • decoherence
  • genetics
  • genomics
  • human
  • human biology
  • medicine
  • metabolic syndrome

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