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Genotype/Phenotype Relationship: Lessons From 137 Patients With PMM2-CDG
Sander Pajusalu1,2, Mari-Anne Vals2,3, Mercedes Serrano4,5
1Genetics and Personalized Medicine Clinic, Tartu University Hospital, L. Puusepa Street 2, Tartu, Estonia.
This study on PMM2-Congenital Disorder of Glycosylation (PMM2-CDG) identified new variants and linked specific PMM2 gene mutations to disease severity and biochemical changes, improving genotype/phenotype understanding.
Area of Science:
- Biochemistry
- Genetics
- Clinical Medicine
Background:
- PMM2-Congenital Disorder of Glycosylation (PMM2-CDG) is a rare genetic disorder.
- Understanding genotype/phenotype correlations is crucial for PMM2-CDG management.
Purpose of the Study:
- To analyze the largest dataset of PMM2-CDG patients.
- To identify novel PMM2 variants.
- To investigate genotype/phenotype and genotype/biochemical parameter correlations.
Main Methods:
- Collected genetic, clinical, and biochemical data from 137 PMM2-CDG patients.
- Classified PMM2 variants by predicted pathogenetic mechanism.
- Utilized Nijmegen Progression CDG Rating Scale (NPCRS) and biochemical assays.
Main Results:
- Identified 60 unique PMM2 variants, including six novel ones.
- Common variants include p.Arg141His, p.Pro113Leu, and p.Phe119Leu.
- Dysregulated coagulation factors (antithrombin, Factor XI, protein C) were consistently observed.
- Genotype/phenotype correlations revealed milder disease with p.Cys241Ser and severe disease with p.Val231Met, dimerization, and folding variants.
Conclusions:
- This study provides new insights into PMM2-CDG genetics and disease mechanisms.
- Larger sample size and inclusion of biochemical data enhance genotype/phenotype correlation understanding.
- Findings contribute to a better understanding of PMM2-CDG heterogeneity.
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