Institut für Humangenetik
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Keywords
- Fabry disease (1)
- Fabry genotype (1)
- Fabry phenotype (1)
- candidate genes (1)
- cardiogenetics (1)
- cardiomyopathy (1)
- lyso‐Gb3 (1)
- targeted gene panel (1)
- whole exome sequencing (1)
- α‐GalA 3D‐structure (1)
Institute
- Medizinische Klinik und Poliklinik I (2) (remove)
Background
Fabry disease (FD) is an X‐linked lysosomal storage and multi‐system disorder due to mutations in the α‐galactosidase A (α‐GalA) gene. We investigated the impact of individual amino acid exchanges in the α‐GalA 3D‐structure on the clinical phenotype of FD patients.
Patients and methods
We enrolled 80 adult FD patients with α‐GalA missense mutations and stratified them into three groups based on the amino acid exchange location in the α‐GalA 3D‐structure: patients with active site mutations, buried mutations and other mutations. Patient subgroups were deep phenotyped for clinical and laboratory parameters and FD‐specific treatment.
Results
Patients with active site or buried mutations showed a severe phenotype with multi‐organ involvement and early disease manifestation. Patients with other mutations had a milder phenotype with less organ impairment and later disease onset. α‐GalA activity was lower in patients with active site or buried mutations than in those with other mutations (P < 0.01 in men; P < 0.05 in women) whilst lyso‐Gb3 levels were higher (P < 0.01 in men; <0.05 in women).
Conclusions
The type of amino acid exchange location in the α‐GalA 3D‐structure determines disease severity and temporal course of symptom onset. Patient stratification using this parameter may become a useful tool in the management of FD patients.
Inherited cardiomyopathies are characterized by clinical and genetic heterogeneity that challenge genetic diagnostics. In this study, we examined the diagnostic benefit of exome data compared to targeted gene panel analyses, and we propose new candidate genes. We performed exome sequencing in a cohort of 61 consecutive patients with a diagnosis of cardiomyopathy or primary arrhythmia, and we analyzed the data following a stepwise approach. Overall, in 64% of patients, a variant of interest (VOI) was detected. The detection rate in the main sub-cohort consisting of patients with dilated cardiomyopathy (DCM) was much higher than previously reported (25/36; 69%). The majority of VOIs were found in disease-specific panels, while a further analysis of an extended panel and exome data led to an additional diagnostic yield of 13% and 5%, respectively. Exome data analysis also detected variants in candidate genes whose functional profile suggested a probable pathogenetic role, the strongest candidate being a truncating variant in STK38. In conclusion, although the diagnostic yield of gene panels is acceptable for routine diagnostics, the genetic heterogeneity of cardiomyopathies and the presence of still-unknown causes favor exome sequencing, which enables the detection of interesting phenotype–genotype correlations, as well as the identification of novel candidate genes.