Large Cohort Integrative Multiomic Analyses Identifies Novel Risk Genes for Congenital Cerebral Ventriculomegaly and Characterizes Distinct Spatiotemporal Clusters of Pathogenesis (S31.002)
To utilize an integrative multiomic approach to uncover novel genetic etiologies and pathomechanisms underlying congenital cerebral ventriculomegaly (CCV) and to explore its overlap with neurodevelopmental delay (NDD) disorders.
Authors
- Danielle Miyagishima (ORCID: https://orcid.org/0000-0003-3257-5469)
- Evan Dennis (ORCID: https://orcid.org/0000-0002-9741-9275)
- Garrett Allington (ORCID: https://orcid.org/0000-0002-5458-6129)
- Kristopher T. Kahle (ORCID: https://orcid.org/0000-0002-5922-7547)
- Kedous Y. Mekbib (ORCID: https://orcid.org/0000-0003-2508-387X)
Institutions
- Harvard University (US)
- Yale University (US)
- Massachusetts General Hospital (US)
- Mayo Clinic in Arizona (US)
- Columbia University (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000208710
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00