Laura M. Winchester

This study uses brain-genotype scores to identify genetic associations with plasma proteins, finding 116 significant associations after FDR correction that conventional SNP models miss.

The paper uses plasma proteomics to identify differentially abundant proteins and co-expression modules across Alzheimer's disease stages, highlighting potential biomarkers for early detection.

The paper presents a harmonized framework for analyzing large-scale plasma proteomics data across neurodegenerative diseases, identifying disease-specific circulating signatures and biomarkers.

The paper uses longitudinal proteomic data to identify molecular subtypes of Parkinson's disease, revealing conserved modules and their associations with clinical phenotypes.

This study identifies 262 STRs significantly associated with MRI-derived grey matter volumes in UK Biobank participants, with 12 associations replicated and no nearby SNPs in linkage disequilibrium.

The paper identifies a switch from DICER-dependent to Argonaute-mediated miRNA biogenesis in cancer, showing that non-canonical processing of oncogenic miRNAs promotes cancer progression.