Likelihood ratio statistics for gene set enrichment in Alzheimer's disease pathways.

ABSTRACT:

Introduction

The study of Alzheimer's disease (AD) has revealed biological pathways with implications for disease neuropathology and pathophysiology. These pathway-level effects may also be mediated by individual characteristics or covariates such as age or sex. Evaluation of AD biological pathways in the context of interactions with these covariates is critical to the understanding of AD as well as the development of model systems used to study the disease.

Methods

Gene set enrichment methods are powerful tools used to interpret gene-level statistics at the level of biological pathways. We introduce a method for quantifying gene set enrichment using likelihood ratio-derived test statistics (gsLRT), which accounts for sample covariates like age and sex. We then use our metho

SUBMITTER: Bryan J 

PROVIDER: S-EPMC8044005 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature