Application of high-resolution landmark-free morphometrics to a mouse model of Down Syndrome reveals a tightly localised cranial phenotype
Nicolas ToussaintiD, Yushi T. Redhead, Marta Vidal‐GarcíaiD, Lucas Lo VercioiD, Wei LiuiD, Elizabeth FisheriD, Benedikt HallgrímssoniD, Victor L. J. TybulewicziD, Julia A. SchnabeliD, Jeremy B. A. GreeniD
Abstract
Characterising phenotypes often requires quantification of anatomical shapes. Quantitative shape comparison (morphometrics) traditionally uses anatomical landmarks and is therefore limited by the number of landmarks and operator accuracy when landmarks are located manually. Here we apply a landmark-free method to characterise the craniofacial skeletal phenotype of the Dp1Tyb mouse model of Down syndrome (DS), validating it against a landmark-based approach. We identify cranial dysmorphologies in Dp1Tyb mice, especially smaller size and brachycephaly (front-back shortening) homologous to the human phenotype. The landmark-free phenotyping was less labour-intensive and required less user training than the landmark-based method. It also enabled mapping of local differences as planar expansion or shrinkage. This higher resolution and local mapping pinpointed reductions in interior mid-snout structures and occipital bones in this DS model that were not as apparent using a traditional landmark-based method. This approach could make morphometrics widely-accessible beyond traditional niches in zoology and palaeontology, especially in characterising mutant phenotypes.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 48
- FWCI
- 15.57
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Craniofacial dysmorphology in Down Syndrome is caused by increased dosage of Dyrk1a and at least three other genes
Yushi T. Redhead, Dorota Gibbins, … Victor L. J. Tybulewicz·bioRxiv·Jun 27, 2022
- Testing the accuracy of 3D automatic landmarking via genome-wide association studies
Yoland Savriama, Diethard Tautz·G3 Genes Genomes GeneticsPeer-reviewed·Dec 31, 2021
- MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses
Jay Devine, Marta Vidal‐García, … Benedikt Hallgrímsson·Scientific DataPeer-reviewed·May 25, 2022
- Comprehensive phenotypic analysis of the Dp1Tyb mouse strain reveals a broad range of Down Syndrome-related phenotypes
Eva Lana‐Elola, Heather L. Cater, … Victor L. J. Tybulewicz·Disease Models & MechanismsPeer-reviewed·Sep 6, 2021
- Assessing the application of landmark-free morphometrics to macroevolutionary analyses
James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami·BMC Ecology and EvolutionPeer-reviewed·Apr 26, 2025
- Advancing Genotype-Phenotype Analysis through 3D Facial Morphometry: Insights from Cri-du-Chat Syndrome
Michiel Vanneste, Harold S. Matthews, … Hilde Peeters·Journal of Medical GeneticsPeer-reviewed·Nov 20, 2025