Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.
Cleveland ClinicJan 28 2025 Research ers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence genetics models to Parkinson's disease. Research ers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.
"Parkinson's disease is the second most common neurodegenerative disorder, right after dementia, but we don't have a way to stop or slow its progression in the millions of people who live with this condition worldwide; the best we can currently accomplish is managing symptoms as they appear," says study first author Lijun Dou, PhD, a postdoctoral fellow in Dr. Cheng's Genomic Medicine lab.
Using their integrative AI model, the team was able to cross-reference genetic variants associated with Parkinson's disease with multiple brain-specific DNA and gene expression databases. This allowed the team to infer which, if any, specific genes in our brains are affected by variants in noncoding regions of our DNA. The team then combined the findings with protein and interactome datasets to determine which of the genes they identified affect other proteins in our brains when mutated.
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