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Lamin Type A

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Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease.

Heart rhythm
BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias and cardiomyopathy. Benign variation is rare, and classification of LMNA missense variants via in silico prediction tools results in a high rate of va...

Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.

Mayo Clinic proceedings
OBJECTIVE: To demonstrate early aging in patients with lamin A/C (LMNA) gene mutations after hypothesizing that they have a biological age older than chronological age, as such a finding impacts care.

In Silico Modeling of Fabry Disease Pathophysiology for the Identification of Early Cellular Damage Biomarker Candidates.

International journal of molecular sciences
Fabry disease (FD) is an X-linked lysosomal disease whose ultimate consequences are the accumulation of sphingolipids and subsequent inflammatory events, mainly at the endothelial level. The outcomes include different nervous system manifestations as...