Ontology highlight
ABSTRACT: Background
Our understanding of the pathophysiology underlying Alzheimer's disease (AD) has benefited from genomic analyses, including those that leverage polygenic risk score (PRS) models of disease. The use of functional annotation has been able to improve the power of genomic models.Objective
We sought to leverage genomic functional annotations to build tissue-specific AD PRS models and study their relationship with AD and its biomarkers.Methods
We built 13 tissue-specific AD PRS and studied the scores' relationships with AD diagnosis, cerebrospinal fluid (CSF) amyloid, CSF tau, and other CSF biomarkers in two longitudinal cohort studies of AD.Results
The AD PRS model that was most predictive of AD diagnosis (even without APOE) was the liver AD PRS: n = 1
SUBMITTER: Panyard DJ
PROVIDER: S-EPMC10050104 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature