Identifying the molecular drivers of ALS-implicated missense mutations

Stephanie Portelli1,2,3, Amanda Albanaz4, Douglas Eduardo Valente Pires1,5

  • 1Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia d.ascher@uq.edu.au s.portelli@uq.edu.au douglas.pires@unimelb.edu.au.

Journal of Medical Genetics
|September 30, 2022
PubMed
Summary

This study created the most extensive missense mutation database for amyotrophic lateral sclerosis (ALS), revealing distinct molecular drivers for SOD1, FUS, and TDP-43 gene mutations. This resource aids in understanding ALS pathogenesis and developing treatments.

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