The pleiotropic spectrum of proximal 16p11.2 CNVs.

Am J Hum Genet

Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland. Electronic address:

Published: November 2024

AI Article Synopsis

  • * The study reviews the wide range of effects (pleiotropy) caused by these rearrangements and highlights similarities in findings from clinical studies and larger population studies, showing they affect multiple bodily systems, not just the brain and body measurements.
  • * Understanding the varied symptoms these genomic changes can cause is essential for accurate diagnoses and tailored treatments, and further research is needed to uncover the factors behind these differences and the biological pathways that explain them.

Article Abstract

Recurrent genomic rearrangements at 16p11.2 BP4-5 represent one of the most common causes of genomic disorders. Originally associated with increased risk for autism spectrum disorder, schizophrenia, and intellectual disability, as well as adiposity and head circumference, these CNVs have since been associated with a plethora of phenotypic alterations, albeit with high variability in expressivity and incomplete penetrance. Here, we comprehensively review the pleiotropy associated with 16p11.2 BP4-5 rearrangements to shine light on its full phenotypic spectrum. Illustrating this phenotypic heterogeneity, we expose many parallels between findings gathered from clinical versus population-based cohorts, which often point to the same physiological systems, and emphasize the role of the CNV beyond neuropsychiatric and anthropometric traits. Revealing the complex and variable clinical manifestations of this CNV is crucial for accurate diagnosis and personalized treatment strategies for carrier individuals. Furthermore, we discuss areas of research that will be key to identifying factors contributing to phenotypic heterogeneity and gaining mechanistic insights into the molecular pathways underlying observed associations, while demonstrating how diversity in affected individuals, cohorts, experimental models, and analytical approaches can catalyze discoveries.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568765PMC
http://dx.doi.org/10.1016/j.ajhg.2024.08.015DOI Listing

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