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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Updated Genotype-Phenotype Correlations in TSC.

Paolo Curatolo¹, Marina Trivisano², Nicola Specchio²

¹Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Rome, Italy.

Seminars in Pediatric Neurology

|November 2, 2023

Summary

This summary is machine-generated.

Tuberous sclerosis complex (TSC) is a genetic disorder causing tumors. TSC2 mutations often lead to more severe symptoms, but predicting individual outcomes remains challenging.

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Area of Science:

Genetics and Neurology
Molecular Biology

Background:

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder affecting multiple organs due to mutations in TSC1 or TSC2 genes.
Central nervous system involvement is common, leading to epilepsy, intellectual disability, and autism spectrum disorder in a significant portion of patients.

Approach:

This review examines the genotype-phenotype correlations in TSC, focusing on the impact of TSC1 and TSC2 mutations.
It discusses the role of the mammalian target of rapamycin (mTOR) pathway in TSC pathogenesis.
The review highlights the challenges in predicting individual disease severity and the potential of advanced molecular techniques.

Key Points:

TSC2 mutations are generally associated with a more severe phenotype, including earlier seizure onset and higher prevalence of intellectual disability.
Despite this trend, significant variability exists, making individual phenotype prediction difficult.
New molecular techniques and disease registries are crucial for identifying more mutations and improving genotype-phenotype correlations.

Conclusions:

Accurate genotype-phenotype correlations are essential for developing individualized surveillance and treatment plans for TSC patients.
Further research utilizing advanced molecular diagnostics and comprehensive data registries will enhance our understanding of TSC.
Identifying high-risk mutations can guide proactive clinical management and improve patient outcomes.