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NMPhenogen: a comprehensive database for genotype-phenotype correlation in neuromuscular genetic disorders
Usha Manjunath1, Venkatesh R1, Sacheta Sudhendra Kulkarni1
1Tata Institute for Genetics and Society, Gandhi Krishi Vignana Kendra Campus, Bengaluru, Karnataka, India.
Frontiers in Neuroscience
|November 20, 2025
Summary
Neuromuscular genetic disorders (NMGDs) impact 1 in 1,000 people globally. A new database, NMPhenogen, aids diagnosis by correlating genetic variants with clinical presentations, improving patient care.
Area of Science:
- Genetics
- Neurology
- Bioinformatics
Background:
- Neuromuscular genetic disorders (NMGDs) are a diverse group of inherited diseases affecting peripheral nerves, motor neurons, neuromuscular junctions, or skeletal muscles.
- These disorders lead to progressive muscle weakness and degeneration, with varied clinical presentations complicating diagnosis.
Purpose of the Study:
- To develop a novel database, NMPhenogen, to enhance the diagnosis and understanding of NMGDs.
- To address challenges in correlating genotypic information with the wide phenotypic range of NMGDs and interpreting next-generation sequencing (NGS) variants.
Main Methods:
- NMPhenogen integrates NMGD-associated genes, variants, and clinical presentations into a centralized repository.
- It features two modules: NMPhenoscore for disease-phenotype correlation and a Variant Classifier for standardized variant classification based on ACMG guidelines.
Main Results:
- NMPhenogen provides a comprehensive resource for NMGD data, facilitating improved genotype-phenotype correlations.
- The database supports standardized variant classification, aiding in the interpretation of NGS findings.
Conclusions:
- NMPhenogen streamlines the diagnostic process for NMGDs.
- This resource aims to improve clinical decision-making, patient care, and genetic counseling for individuals with NMGDs.
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