Clinical application of sparse canonical correlation analysis to detect genetic associations with cortical thickness in Alzheimer's disease.

ABSTRACT:

Introduction

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by cerebral cortex atrophy. In this study, we used sparse canonical correlation analysis (SCCA) to identify associations between single nucleotide polymorphisms (SNPs) and cortical thickness in the Korean population. We also investigated the role of the SNPs in neurological outcomes, including neurodegeneration and cognitive dysfunction.

Methods

We recruited 1125 Korean participants who underwent neuropsychological testing, brain magnetic resonance imaging, positron emission tomography, and microarray genotyping. We performed group-wise SCCA in Aβ negative (-) and Aβ positive (+) groups. In addition, we performed mediation, expression quantitative trait loci, and pathway analyses t

SUBMITTER: Kim BH 

PROVIDER: S-EPMC11458562 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature