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An integrated framework for functional dissection of variable expressivity in genetic disorders.

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Summary

Genetic background variants influence 16p12.1 deletion effects on neurodevelopment. This study reveals how genetic architecture impacts variable disease outcomes and identifies key regulatory genes.

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Area of Science:

  • Genetics and Genomics
  • Developmental Biology
  • Systems Biology

Background:

  • Genetic variants often result in diverse phenotypic outcomes, but the underlying biological mechanisms are not well understood.
  • The 16p12.1 deletion serves as a model for studying variable expressivity in genetic disorders.

Purpose of the Study:

  • To develop a framework for investigating how genetic architecture contributes to phenotypic variability.
  • To elucidate the molecular mechanisms driving variable expressivity in the 16p12.1 deletion syndrome.

Main Methods:

  • Utilized induced pluripotent stem cell (iPSC) models derived from families with the 16p12.1 deletion.
  • Employed CRISPR-edited cell lines to model the 16p12.1 deletion and secondary genetic variants.
  • Conducted cellular analyses, CRISPR activation experiments, and integrative regulatory analyses.

Main Results:

  • The 16p12.1 deletion and background genetic variants jointly affected chromatin accessibility and neurodevelopmental gene expression.
  • Identified family-specific cellular phenotypes, including altered neurogenesis and progenitor proliferation, linked to head-size variation.
  • Demonstrated that CRISPR activation of 16p12.1 genes could variably rescue cellular defects by modulating TGF-β and PI3K-AKT pathways.
  • Discovered transcription factors FOXG1 and JUN as key mediators of these genetic effects.

Conclusions:

  • Established a functional framework for dissecting the genetic basis of phenotypic variability.
  • Highlighted the interplay between deletions, secondary variants, and gene regulation in determining disease outcomes.
  • Provided insights into the molecular pathways and regulatory hubs involved in neurodevelopmental variability.