Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
Neuroimaging PheWAS and molecular phenotyping implicate PSMC3 in Alzheimer's disease.
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Bledsoe Xavier, Wang Ting-Chen, Wu Yiyang, Archer Derek, Chen Hung Hsin, Naj Adam C, Bush William S, Hohman Timothy J, Dumitrescu Logan, Below Jennifer E, Gamazon Eric R
Аннотация
INTRODUCTION: Neuroimaging genetics has advanced our understanding of Alzheimer's disease (AD); however, frameworks using functional genomics are needed to elucidate mechanisms connecting loci to neurological outcomes. To address this need, we explored relationships between AD-associated variants and disease via their impact on gene expression and neuroanatomical phenotypes.
METHODS: We mapped established AD genes to neuroimaging traits using the NeuroimaGene Atlas and predicted transcript-driven neurological features of AD by comparing gene-derived neuroimaging features with clinical neuroimaging data. Genetic covariance analyses were performed to characterize shared genetic architecture between AD endophenotypes and neuroimaging features, and to identify neuroimaging features associated with a family history of dementia.
RESULTS: Our analyses implicate PSMC3 as a contributor to AD pathophysiology and identify AD endophenotypes, including dementia family history, linked to frontal cortex thickness and volume, as well as changes in cerebrospinal fluid volume.
DISCUSSION: Our findings prioritize AD genes whose regulation is associated with vulnerable brain regions, offering a potential mechanistic framework for downstream functional validation.
METHODS: We mapped established AD genes to neuroimaging traits using the NeuroimaGene Atlas and predicted transcript-driven neurological features of AD by comparing gene-derived neuroimaging features with clinical neuroimaging data. Genetic covariance analyses were performed to characterize shared genetic architecture between AD endophenotypes and neuroimaging features, and to identify neuroimaging features associated with a family history of dementia.
RESULTS: Our analyses implicate PSMC3 as a contributor to AD pathophysiology and identify AD endophenotypes, including dementia family history, linked to frontal cortex thickness and volume, as well as changes in cerebrospinal fluid volume.
DISCUSSION: Our findings prioritize AD genes whose regulation is associated with vulnerable brain regions, offering a potential mechanistic framework for downstream functional validation.