Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology.

ABSTRACT: Late-Onset Alzheimer's disease (LOAD) is a common, complex genetic disorder well-known for its heterogeneous pathology. The genetic heterogeneity underlying common, complex diseases poses a major challenge for targeted therapies and the identification of novel disease-associated variants. Case-control approaches are often limited to examining a specific outcome in a group of heterogenous patients with different clinical characteristics. Here, we developed a novel approach to define relevant transcriptomic endophenotypes and stratify decedents based on molecular profiles in three independent human LOAD cohorts. By integrating post-mortem brain gene co-expression data from 2114 human samples with LOAD, we developed a novel quantitative, composite phenotype that can better account for the het

SUBMITTER: Milind N 

PROVIDER: S-EPMC7295244 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature