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Published on: August 15, 2019
Genotype-Phenotype Correlations in PMM2-CDG
Laurien Vaes1, Daisy Rymen2, David Cassiman3
1Faculty of Medicine, KU Leuven, B3000 Leuven, Belgium.
Abstract:
PMM2-CDG is a rare disease, causing hypoglycosylation of multiple proteins, hence preventing full functionality. So far, no direct genotype-phenotype correlations have been identified. We carried out a retrospective cohort study on 26 PMM2-CDG patients. We collected the identified genotype, as well as continuous variables indicating the disease severity (based on Nijmegen Pediatric CDG Rating Score or NPCRS) and dichotomous variables reflecting the patients' phenotype. The phenotypic effects of patients' genotype were studied using non-parametric and Chi-Square tests. Seventeen different pathogenic variants have been studied. Variants with zero enzyme activity had no significant impact on the Nijmegen score. Pathogenic variants involving the stabilization/folding domain have a significantly lower total NPCRS (p = 0.017): presence of the p.Cys241Ser mutation had a significantly lower subscore 1,3 and NPCRS (p = 0.04) and thus result in a less severe phenotype. On the other hand, variants involving the dimerization domain, p.Pro113Leu and p.Phe119Leu, resulted in a significantly higher NPCRS score (p = 0.002), which indicates a worse clinical course. These concepts give a better insight in the phenotypic prognosis of PMM2-CDG, according to their molecular base.
Insights
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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