Functional Characterization of HGD Gene Variants by Minigene Splicing Assay
The <i>HGD</i> gene encodes homogentisate 1,2-dioxygenase. A deficiency of this enzyme causes alkaptonuria (AKU; OMIM 203500), a monogenic autosomal recessive metabolic disorder. The global incidence of alkaptonuria is estimated at 1 in 250,000 to 1,000,000 live births. A large number of pathogenic nucleotide variants disrupt pre-mRNA splicing, leading to hereditary diseases. Many potentially splice-disruptive variants, including those in coding regions, remain uncharacterized. This lack of data makes clinical interpretation more difficult and can complicate diagnosis. We systematically analyzed 27 <i>HGD</i> variants predicted to affect splicing. Candidate variants from public databases (ClinVar, HGDdatabase) and our patient cohort were prioritized using in silico splicing predictions and evaluated with a minigene splicing assay in HEK293T cells. Based on the obtained functional analysis data, the variants were reclassified according to ACMG/AMP guidelines. In total, 13 variants changed their classification (9 were upgraded and 4 were downgraded), while 5 variants retained their pathogenicity class after analysis. Ten missense/nonsense variants were not reclassified, as no significant splicing disruption was detected. These findings improve the pathogenicity assessment of <i>HGD</i> variants, support more accurate diagnosis, and lay the foundation for future therapeutic strategies targeting splicing defects in AKU.
Authors
- Ekaterina Zakharova (ORCID: https://orcid.org/0000-0002-5020-1180)
- Beatrisa Rimskaya (ORCID: https://orcid.org/0000-0003-2186-5823)
- A. Y. Nekrasov (ORCID: https://orcid.org/0000-0002-8229-7260)
- Elza Shchukina (ORCID: https://orcid.org/0009-0003-5351-2835)
Institutions
- Research Centre for Medical Genetics (RU)
- Russian Scientific Center of Surgery (RU)
Publication Details
- Journal
- International Journal of Molecular Sciences
- Published
- 2025-10-31
- DOI
- https://doi.org/10.3390/ijms262110639
- Primary Topic
- Metabolism and Genetic Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00