ArticleFrontiers in physiology2015
Quantitative trait loci affecting the 3D skull shape and size in mouse and prioritization of candidate genes in-silico.
Article in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Genome-Wide Association Study Reveals Multiple Loci Influencing Normal Human Facial Morphology.PLoS genetics · 2016Pooled it
- LocusPackRat: an R package to support prioritizing candidate genes from large GWAS intervals with standardized evidence aggregation.G3 (Bethesda, Md.) · 2026Article
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- Body size and cranial shape differentiation in urban and rural house mice (bioRxiv : the preprint server for biology · 2026Article
- Leveraging descriptor learning and functional map-based shape matching for automated anatomical Landmarking in mouse mandibles.Journal of anatomy · 2025Article
- GRAMMAR-Lambda Delivers Efficient Understanding of the Genetic Basis for Head Size in Catfish.Biology · 2025Article
- Leveraging Descriptor Learning and Functional Map-based Shape Matching for Automatic Landmark Acquisition.bioRxiv : the preprint server for biology · 2024Article
- Comparative Cranial Geometric Morphometrics among Wistar Albino, Sprague Dawley, and WAG/Rij Rat Strains.Animals : an open access journal from MDPI · 2024Article
- Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape.Nature communications · 2023Review
- Sphenoid Bone Determines the Curvature of the Cranial Vault in Postnatal Skull Development in C57BL/6 Mice.Journal of bone metabolism · 2023Article
- The genetic basis of neurocranial size and shape across varied lab mouse populations.Journal of anatomy · 2022Article
- Altering calcium and phosphorus supplementation in pregnancy and lactation affects offspring craniofacial morphology in a sex-specific pattern.American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics · 2022Article
- A complex genetic architecture underlies mandibular evolution in big mice from Gough Island.Genetics · 2022Article
- Testing the accuracy of 3D automatic landmarking via genome-wide association studies.G3 (Bethesda, Md.) · 2022Article
- Article
- MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning.Nature communications · 2021Article
- SlicerMorph: An open and extensible platform to retrieve, visualize and analyze 3D morphology.Methods in ecology and evolution · 2021Article
- Variation in Pleiotropic Hub Gene Expression Is Associated with Interspecific Differences in Head Shape and Eye Size in Drosophila.Molecular biology and evolution · 2021Article
- The comparative genomic landscape of adaptive radiation in crater lake cichlid fishes.Molecular ecology · 2021Article
- Chronic Cranial Window for Imaging Cortical Activity in Head-Fixed Mice.STAR protocols · 2020Article
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
We describe the first application of high-resolution 3D micro-computed tomography, together with 3D landmarks and geometric morphometrics, to map QTL responsible for variation in skull shape and size using a backcross between C57BL/6J and A/J inbred strains. Using 433 animals, 53 3D landmarks, and 882 SNPs from autosomes, we identified seven QTL responsible for the skull size (SCS.qtl) and 30 QTL responsible for the skull shape (SSH.qtl). Size, sex, and direction-of-cross were all significant factors and included in the analysis as covariates. All autosomes harbored at least one SSH.qtl, sometimes up to three. Effect sizes of SSH.qtl appeared to be small, rarely exceeding 1% of the overall shape variation. However, they account for significant amount of variation in some specific directions of the shape space. Many QTL have stronger effect on the neurocranium than expected from a random vector that will parcellate uniformly across the four cranial regions. On the contrary, most of QTL have an effect on the palate weaker than expected. Combined interval length of 30 SSH.qtl was about 315 MB and contained 2476 known protein coding genes. We used a bioinformatics approach to filter these candidate genes and identified 16 high-priority candidates that are likely to play a role in the craniofacial development and disorders. Thus, coupling the QTL mapping approach in model organisms with candidate gene enrichment approaches appears to be a feasible way to identify high-priority candidates genes related to the structure or tissue of interest.
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