Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.

ABSTRACT: The molecular correlates of Alzheimer's disease (AD) are increasingly being defined by omics. Yet, the findings from different data types or cohorts are often difficult to reconcile. Collecting multiple omics from the same individuals allows a comprehensive view of disease-related molecular mechanisms, while addressing conflicting findings derived from single omics. Such same-sample multi-omics can reveal, for instance, when changes observed in the transcriptome share distinct but coordinated signals in epigenetics and proteomics, relationships otherwise unclear. Here, we apply a data-driven multi-omic framework to integrate epigenomic, transcriptomic, proteomic, metabolomic, and cell-type-specific population data from up to 1,358 aged human brain samples from the Religious Orders Study (R

SUBMITTER: Scheidemantel LP 

PROVIDER: S-EPMC12485691 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature