Genetic pathway-based hierarchical clustering analysis of older adults with cognitive complaints and amnestic mild cognitive impairment using clinical and neuroimaging phenotypes.

摘要: Hierarchical clustering is frequently used for grouping results in expression or haplotype analyses. These methods can elucidate patterns between measures that then be applied to discerning their validity discriminating experimental conditions. Here a hierarchical method analyze the of an imaging genetics study using multiple brain morphology and cognitive testing endpoints older adults with amnestic mild impairment (MCI) complaints (CC) compared healthy controls (HC). The single nucleotide polymorphisms (SNPs) are subset those included on larger array found reported Alzheimer's disease (AD) neurodegeneration pathway. indicate genetic models within cluster together, while there 4 distinct sets SNPs differentiate endpoints, most significant associated rather than patients' symptoms. genes at least one ABCB1, APBA1, BACE1, BACE2, BCL2, BCL2L1, CASP7, CHAT, CST3, DRD3, DRD5, IL6, LRP1, NAT1, PSEN2. greater associations suggests changes structure influenced by individual's background absence dementia some cases (Cognitive Complaints group) even without effects necessarily being detectable commonly clinical tests cognition. consistent polygenic influences early neurodegenerative demonstrate effectiveness identifying among related phenotypic endpoints.