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SCIENTIFIC LITERATURE · PPR

Multi-omics machine learning classifier and blood transcriptomic signature of Parkinson’s disease

· 2025-06-20

DOI: 10.21203/rs.3.rs-6837659/v1

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Research overview

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Abstract Early diagnosis and biomarker discovery to bolster the therapeutic pipeline for Parkinson’s disease (PD) are urgently needed. In this study, we leverage the large-scale, whole-blood total RNA and DNA sequencing data from the Accelerating Medicines Partnership in Parkinson’s Disease (AMP PD) program to identify PD-associated RNAs, including both known genes and novel circular RNAs (circRNA) and enhancer RNAs (eRNAs). Initially, 874 known genes, 783 eRNAs, and 35 circRNAs were found differentially expressed in PD blood in the PPMI cohort (FDR

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