Advancing genotype-phenotype analysis through 3D facial morphometry: insights from Cri-du-Chat syndrome

This work explores 3D facial morphometry to complement the standard clinical assessment of facial dysmorphism. It provides insights into the genetic basis of facial shape in CdCS and highlights the potential of 3D morphometric techniques to facilitate clinical diagnostics, variant interpretation and delineation of syndrome nosology.

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Publication Details

Journal
Journal of Medical Genetics
Published
2025-11-20
DOI
https://doi.org/10.1136/jmg-2025-110940
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
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article

Advancing genotype-phenotype analysis through 3D facial morphometry: insights from Cri-du-Chat syndrome

Ophir D. Klein, Harold Matthews, Michiel Vanneste, Seth M. Weinberg et al.
Journal of Medical Genetics
Genomic variations and chromosomal abnormalities
article

Advancing genotype-phenotype analysis through 3D facial morphometry: insights from Cri-du-Chat syndrome

Ophir D. Klein, Harold Matthews, Michiel Vanneste, Seth M. Weinberg, Yoeri Sleyp, Peter D. Claes, Benedikt Hallgrimsson, Mary L. Marazita, Peter Hammond, Mark D. Shriver, Richard A. Spritz, Susan Walsh, Hilde Peeters, Kris Van Den Bogaert
article en

Abstract

This work explores 3D facial morphometry to complement the standard clinical assessment of facial dysmorphism. It provides insights into the genetic basis of facial shape in CdCS and highlights the potential of 3D morphometric techniques to facilitate clinical diagnostics, variant interpretation and delineation of syndrome nosology.

Journal of Medical GeneticsVol. 63(2)
Cedars-Sinai Medical Center (US), Pennsylvania State University (US), University of Indianapolis (US), University of Calgary (CA), University of Pittsburgh (US), Alberta Children's Hospital (CA), Alberta Bone and Joint Health Institute (CA), University of Colorado Anschutz Medical Campus (US), Indiana University – Purdue University Indianapolis (US), University of Colorado Denver (US), KU Leuven (BE)
Openalex Percentile: Top 63%
Genomic variations and chromosomal abnormalities
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