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Deep clinicopathological phenotyping identifies a previously unrecognized pathogenic EMD splice variant.
Daniel G Calame1,2,3, Jawid M Fatih3, Isabella Herman1,2,3
1Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, 77030, USA.
Annals of Clinical and Translational Neurology
|September 15, 2021
Summary
Deep phenotyping improved exome sequencing (ES) diagnostic yield for rare diseases. Integrating clinicopathological data identified an ultra-rare EMD gene variant, diagnosing muscular dystrophy in a patient with negative clinical ES.
Area of Science:
- Genomics
- Rare Diseases
- Clinical Pathology
Background:
- Exome sequencing (ES) has transformed rare disease diagnosis, but diagnostic rates remain suboptimal (~25%-30%).
- Incomplete or inaccurate phenotypic data is a significant barrier to achieving molecular diagnoses via ES.
- Enhanced integration of detailed clinical and pathological information is crucial for improving diagnostic yield.
Observation:
- A 19-year-old proband with muscular dystrophy, initially undiagnosed by clinical exome sequencing, was investigated.
- Deep clinicopathological phenotyping revealed the absence of emerin protein in muscle biopsy and features consistent with Emery-Dreifuss muscular dystrophy.
- This detailed phenotyping provided critical insights beyond standard clinical data.
Findings:
- Analysis of sequencing data, guided by phenotyping, identified an ultra-rare, intronic variant (NM_000117.3: c.188-6A>G) in the EMD gene.
- In silico tools predicted this EMD variant significantly impacts RNA splicing.
- The identified variant provides a molecular explanation for the patient's condition.
Implications:
- This case highlights the critical role of integrating deep clinicopathological phenotyping with exome sequencing analysis.
- Improved data integration can significantly enhance the diagnostic yield of exome sequencing for rare genetic disorders.
- These findings have direct implications for refining diagnostic strategies in clinical practice for rare diseases.

