The integration of multi-omics data sets can help to unravel the underlying mechanisms across multiple omic layers. We will leverage multi-omics data to profile the heterogeneity of pathways contributing to PD. Our unique study design combining clinical and neuropathological data with genomics, epigenomics, transcriptomics, proteomics, and metabolomics data from PD patients will identify analytes linked to PD and subtypes of PD with differentiating features. We will generate a detailed molecular landscape of PD and decipher the genetic architecture that underlies neurobiological pathways, linking these factors to PD and related dementias. In addition, multi-omic data can identify novel and potentially high-value therapeutic targets for the treatment and prevention of PD and related dementias.
