Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns

Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns

Brain imaging genetics examines associations between imaging quantitative traits (QTs) and genetic factors such as single nucleotide polymorphisms (SNPs) to provide important insights into the pathogenesis of Alzheimer’s disease (AD). The individual level SNP-QT signals are high dimensional and typi...

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Bibliographic Details
Main Authors: Ruiming Wu, Jingxuan Bao, Mansu Kim, Andrew J. Saykin, Jason H. Moore, Li Shen, on behalf of ADNI
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Genes
Subjects:
brain imaging genetics
multigraph clustering
Alzheimer’s disease
Online Access:https://www.mdpi.com/2073-4425/13/9/1520

Internet

https://www.mdpi.com/2073-4425/13/9/1520

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