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

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

IntroductionAlzheimer’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 p...

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Main Authors: Bo-Hyun Kim, Sang Won Seo, Yu Hyun Park, JiHyun Kim, Hee Jin Kim, Hyemin Jang, Jihwan Yun, Mansu Kim, Jun Pyo Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer’s disease
sparse canonical correlation analysis
genetics
cortical thickness
amyloid beta (Ab)
single nucleotide polymorphism (SNP)
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1428900/full
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