Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer's disease

Genome-wide association studies (GWAS) have identified many individual genes associated with brain imaging quantitative traits (QTs) in Alzheimer's disease (AD). However single marker level association discovery may not be able to address the underlying biological interactions with disease mech...

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Veröffentlicht in:	BMC genomics 2020-12, Vol.21 (Suppl 11), p.896-896, Article 896
Hauptverfasser:	Meng, Xianglian, Li, Jin, Zhang, Qiushi, Chen, Feng, Bian, Chenyuan, Yao, Xiaohui, Yan, Jingwen, Xu, Zhe, Risacher, Shannon L, Saykin, Andrew J, Liang, Hong, Shen, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer Disease - diagnostic imaging Alzheimer Disease - genetics Alzheimer's disease Analysis Annotations Apolipoprotein E Biological activity Biomarkers Brain - diagnostic imaging Brain imaging Consensus modules Coupling (molecular) Demographic aspects Diagnosis Disease Genes Genetic aspects Genetic markers Genetic Predisposition to Disease Genome-wide association studies Genome-Wide Association Study Genomes Genomics Humans iPINBPA network analysis Medical imaging Multivariate analysis Multivariate gene-based genome-wide analysis Network analysis Neurodegenerative diseases Neuroimaging Pertussis Phenotype Phenotypes Polymorphism, Single Nucleotide Protein interaction Protein Interaction Maps Proteins Risk analysis Risk factors Synapses
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