System-Level Analysis of Alzheimer's Disease Prioritizes Candidate Genes for Neurodegeneration.

ABSTRACT: Alzheimer's disease (AD) is a debilitating neurodegenerative disorder. Since the advent of the genome-wide association study (GWAS) we have come to understand much about the genes involved in AD heritability and pathophysiology. Large case-control meta-GWAS studies have increased our ability to prioritize weaker effect alleles, while the recent development of network-based functional prediction has provided a mechanism by which we can use machine learning to reprioritize GWAS hits in the functional context of relevant brain tissues like the hippocampus and amygdala. In parallel with these developments, groups like the Alzheimer's Disease Neuroimaging Initiative (ADNI) have compiled rich compendia of AD patient data including genotype and biomarker information, including derived volu

SUBMITTER: Brabec JL 

PROVIDER: S-EPMC8056044 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature