ArticleBrain : a journal of neurology2024
Machine learning nominates the inositol pathway and novel genes in Parkinson's disease.
Article in Brain : a journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Eating Disorders and Parkinson's Disease-2: Genetic Epidemiology and Shared Genomics.European eating disorders review : the journal of the Eating Disorders Association · 2026Article
- DYRK1A and Parkinson's disease, facts and hypotheses.Neurobiology of disease · 2026Review
- The Genetics of TDP-43 Type C Neurodegeneration: A Whole-Genome Sequencing Study and Literature Review.Neurology. Genetics · 2026Article
- Eating Disorders and Parkinson's Disease - 2: Population Burden, Genetic Epidemiology and Shared Genomics.medRxiv : the preprint server for health sciences · 2026Article
- Eating Disorders and Parkinson's Disease - 1: Comorbidities, Neurobiology and Family History.medRxiv : the preprint server for health sciences · 2026Article
- AI-Driven Advances in Parkinson's Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes.Brain sciences · 2025Review
- Prioritizing Parkinson's disease risk genes in genome-wide association loci.NPJ Parkinson's disease · 2025Article
- Preventing epileptogenesis by interaction between inositol isomers and proteins.Epilepsia open · 2025Article
- RiboTag RNA Sequencing Identifies Local Translation of HSP70 in Astrocyte Endfeet After Cerebral Ischemia.International journal of molecular sciences · 2025Article
- The Parkinson's disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons.Research square · 2024Article
- The Parkinson's disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons.bioRxiv : the preprint server for biology · 2023Article
- PADG-Pred: Exploring Ensemble Approaches for Identifying Parkinson's Disease Associated Biomarkers Using Genomic Sequences Analysis.IET systems biologyArticle
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
There are 78 loci associated with Parkinson's disease in the most recent genome-wide association study (GWAS), yet the specific genes driving these associations are mostly unknown. Herein, we aimed to nominate the top candidate gene from each Parkinson's disease locus and identify variants and pathways potentially involved in Parkinson's disease. We trained a machine learning model to predict Parkinson's disease-associated genes from GWAS loci using genomic, transcriptomic and epigenomic data from brain tissues and dopaminergic neurons. We nominated candidate genes in each locus and identified novel pathways potentially involved in Parkinson's disease, such as the inositol phosphate biosynthetic pathway (INPP5F, IP6K2, ITPKB and PPIP5K2). Specific common coding variants in SPNS1 and MLX may be involved in Parkinson's disease, and burden tests of rare variants further support that CNIP3, LSM7, NUCKS1 and the polyol/inositol phosphate biosynthetic pathway are associated with the disease. Functional studies are needed to further analyse the involvements of these genes and pathways in Parkinson's disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.