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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Bibliographic Details
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
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Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1428900/full
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