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Updated: Jun 3, 2025

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A new hypothesis to explain disease dominance.

Brian Juvik1, Lara Falcucci1, Pia R Lundegaard2

  • 1Department of Developmental Genetics, Max Planck Institute for Heart and Lung Research, Bad Nauheim, Hessen, 61231, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Bad Nauheim, Hessen, 61231, Germany.

Trends in Genetics : TIG
|January 9, 2025
PubMed
Summary

Transcriptional adaptation (TA) is a new response to mRNA decay that contributes to dominant diseases. This process, involving adapting genes, can cause genetic compensation or worsen disease phenotypes.

Keywords:
Brugada syndromefrontotemporal lobar degenerationgain-of-functionhypertrophic cardiomyopathyloss-of-functionnonsense-mediated mRNA decaytranscriptional adaptation

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Area of Science:

  • Genetics
  • Molecular Biology
  • Disease Mechanisms

Background:

  • Dominant diseases are typically attributed to haploinsufficiency or dominant-negative effects.
  • Recent research questions these established mechanisms for diseases like Brugada syndrome, hypertrophic cardiomyopathy, and frontotemporal lobar degeneration.

Purpose of the Study:

  • To propose transcriptional adaptation (TA) as an additional mechanism underlying dominant diseases.
  • To investigate the role of TA in modulating gene expression in response to mRNA decay.

Main Methods:

  • The study focuses on the conceptual framework of transcriptional adaptation.
  • It reviews recent findings challenging existing models of dominant disease etiology.

Main Results:

  • Transcriptional adaptation (TA) is identified as a response to mRNA decay.
  • TA influences the expression of adapting genes, potentially through mRNA decay products.
  • This modulation can lead to either genetic compensation or exacerbation of disease phenotypes.

Conclusions:

  • Transcriptional adaptation (TA) offers a new perspective on the pathogenesis of dominant diseases.
  • For dominant diseases linked to mRNA decay, TA-mediated gene dysregulation may significantly contribute to the observed phenotype.