Non-Isolated Dandy-Walker Malformation: Exome Sequencing Efficacy and Phenotypic Expansions
Sarah Araji1,2, Xiaonan Zhao2,3, Jill A Rosenfeld2
1Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
Clinical Genetics
|February 25, 2026
Summary
Clinical exome sequencing (cES) offers a high diagnostic yield for Dandy-Walker malformation plus (DWM+) cases, identifying genetic causes missed by standard panels. This approach should be considered when initial molecular diagnoses are elusive.
Area of Science:
- Genetics
- Neuroscience
- Developmental Biology
Background:
- Dandy-Walker malformation (DWM) is a rare congenital hindbrain developmental anomaly.
- DWM frequently occurs with other central nervous system (CNS) or extra-CNS abnormalities (DWM+).
- Molecular causes for DWM+ remain largely unidentified due to suboptimal genetic testing strategies.
Purpose of the Study:
- To evaluate the diagnostic efficacy of clinical exome sequencing (cES) for individuals with DWM+.
- To identify novel genetic causes and phenotypic expansions associated with DWM.
- To guide optimal genetic testing strategies for DWM+.
Main Methods:
- Analysis of clinical exome sequencing (cES) data from 91 individuals diagnosed with DWM+.
- Comparison of cES diagnostic yield against standard brain malformation gene panels.
- Integration of cohort data, published cases, and mouse models to identify phenotypic expansions.
Main Results:
- cES achieved a diagnostic rate of 35.2% (32/91) in individuals with DWM+.
- Standard gene panels detected only 24.2% to 54.5% of diagnoses identified by cES.
- Nine phenotypic expansions associated with DWM were identified.
Conclusions:
- cES is a powerful tool for diagnosing DWM+ and should be considered when molecular diagnoses are not established.
- Routine additional genetic testing may not be necessary for DWM+ patients with identified genetic syndromes.
- This study expands the understanding of genetic causes and phenotypes related to DWM.


