A Clinical Prediction Model for Genetic Risk in Children with GDD/ID: A Retrospective Study
We developed a clinically applicable prediction model to identify high genetic risk among children with GDD/ID without ASD. This model may serve as a preliminary screening tool to assist clinicians in prioritizing genetic testing and improving diagnostic efficiency in clinical practice.
Authors
- Mengyin Chen
- Ran Chen (ORCID: https://orcid.org/0000-0002-6808-4381)
- Xiaonan Li (ORCID: https://orcid.org/0009-0005-5859-5806)
- Luting Peng
- Yuchen Zhao (ORCID: https://orcid.org/0009-0006-7526-765X)
- Rong Li (ORCID: https://orcid.org/0000-0002-4637-031X)
- Yunshu Jiang
Institutions
- Harvard University (US)
- Nanjing Children's Hospital (CN)
- Nanjing Maternity and Child Health Care Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
Publication Details
- Journal
- Pediatric Reports
- Published
- 2025-12-19
- DOI
- https://doi.org/10.3390/pediatric18010001
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00