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Deep Intronic ETFDH Variants Represent a Recurrent Pathogenic Event in Multiple Acyl-CoA Dehydrogenase Deficiency
Stefania Martino1, Pietro D'Addabbo2, Antonella Turchiano1
1Medical Genetics Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy.
Multiple acyl-CoA dehydrogenase deficiency (MADD), a rare metabolic disorder, was diagnosed in a newborn using whole-genome and RNA sequencing. This approach identified a deep intronic mutation in the ETFDH gene, crucial for diagnosing MADD.
Area of Science:
- Genetics
- Metabolic Disorders
- Molecular Biology
Background:
- Multiple acyl-CoA dehydrogenase deficiency (MADD) is a rare inherited metabolic disorder affecting fatty acid and amino acid oxidation.
- It presents with diverse phenotypes, from severe neonatal onset to milder late-onset forms, diagnosed via biochemical analyses.
- Genetic basis involves mutations in ETFA, ETFB, and ETFDH genes, but some patients remain undiagnosed.
Observation:
- Whole-genome sequencing (WGS) combined with RNA sequencing (RNA-seq) enabled definitive molecular diagnosis in a newborn with MADD.
- Standard methods like whole-exome sequencing and gene panels missed a deep intronic variant.
- A novel deep intronic mutation (c.35-959A>G) in ETFDH intron 1 was identified, causing pseudo-exon inclusion and lethal MADD.
Findings:
- The study identified a unique deep intronic mutation in the ETFDH gene (c.35-959A>G) responsible for a severe MADD case.
- This mutation leads to the inclusion of a pseudo-exon, disrupting normal gene function.
- ETFDH intron 1 appears vulnerable to mutations, with this being the third reported in this specific region.
Implications:
- Integrating RNA sequencing with WGS is crucial for diagnosing genetic disorders caused by intronic variants.
- This approach can improve diagnostic yield for MADD and potentially other inherited diseases.
- Understanding intronic mutation mechanisms broadens the scope of genetic diagnostics and counseling.
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