Related Experiment Video
Updated: Dec 10, 2025

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography
Published on: January 17, 2025
Clinical application of chromosomal microarray analysis for fetuses with craniofacial malformations
Chenyang Xu1, Yanbao Xiang1, Xueqin Xu1
1Center of Prenatal Diagnosis, Wenzhou Central Hospital, Wenzhou, China.
Chromosomal abnormalities are linked to craniofacial malformations (CFMs). Chromosomal microarray analysis (CMA) detected significant genetic findings in 28% of fetuses, aiding in understanding CFM causes.
Area of Science:
- Genetics
- Prenatal Diagnosis
- Developmental Biology
Background:
- Chromosomal abnormalities pose challenges in diagnosing craniofacial malformations (CFMs) prenatally.
- Understanding the genetic basis of CFMs is crucial for accurate diagnosis and counseling.
Purpose of the Study:
- To evaluate chromosomal abnormalities in fetuses with CFMs using chromosomal microarray analysis (CMA) and G-banded chromosome analysis.
- To identify potential causative copy number variations (CNVs) and genes associated with CFMs.
Main Methods:
- Applied CMA and G-banded chromosome analysis to 118 fetuses with CFMs.
- Compared detection rates between isolated and non-isolated CFMs.
- Analyzed CNV/phenotype correlations to identify dosage-sensitive CFM genes.
Main Results:
- Non-isolated CFMs showed a significantly higher detection rate of chromosomal abnormalities (26/71) compared to isolated CFMs (7/47).
- CMA identified clinically significant findings in 28% (33/118) of fetuses, including aneuploidies, microdeletions/microduplications, and other CNVs.
- Identified potential causative genes for CFMs, such as TBX1, MAPK1, and SHH.
Conclusions:
- Findings enhance understanding of causative CNVs and genes in CFMs.
- Identifying the genetic basis of CFMs improves understanding of pathogenesis.
- Genetic insights facilitate more precise genetic counseling for affected families.
More Related Videos
08:22A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations
Published on: December 1, 2017
10:23Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
Published on: September 8, 2023