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Genotype-Phenotype Correlations in PMM2-CDG
Laurien Vaes1, Daisy Rymen2, David Cassiman3
1Faculty of Medicine, KU Leuven, B3000 Leuven, Belgium.
Genes
|November 27, 2021
Summary
This study reveals genotype-phenotype correlations in Phosphomannomutase 2-Congenital Disorders of Glycosylation (PMM2-CDG). Specific PMM2 gene variants influence disease severity, offering better prognostic insights.
Area of Science:
- Biochemistry
- Genetics
- Rare Diseases
Background:
- PMM2-CDG is a rare genetic disorder characterized by hypoglycosylation of proteins.
- No clear genotype-phenotype correlations have been established for PMM2-CDG.
- Understanding these correlations is crucial for predicting disease progression and patient outcomes.
Purpose of the Study:
- To investigate genotype-phenotype correlations in PMM2-CDG patients.
- To determine the impact of specific PMM2 variants on disease severity.
- To establish a molecular basis for phenotypic prognosis in PMM2-CDG.
Main Methods:
- Retrospective cohort study of 26 PMM2-CDG patients.
- Analysis of patient genotypes and phenotypes.
- Disease severity assessed using the Nijmegen Pediatric CDG Rating Score (NPCRS).
- Statistical analysis using non-parametric and Chi-Square tests.
Main Results:
- Seventeen different pathogenic variants were analyzed.
- Variants in the stabilization/folding domain, like p.Cys241Ser, correlated with significantly lower NPCRS scores and milder phenotypes.
- Variants in the dimerization domain, such as p.Pro113Leu and p.Phe119Leu, were associated with significantly higher NPCRS scores and more severe clinical courses.
- Variants with zero enzyme activity did not significantly impact the NPCRS.
Conclusions:
- Specific PMM2 variants significantly influence PMM2-CDG phenotype and severity.
- Genotype-based analysis provides valuable insights into disease prognosis.
- This study establishes a foundation for predicting PMM2-CDG clinical outcomes based on molecular findings.
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