Genetic study of multimodal imaging Alzheimer's disease progression score implicates novel loci.

ABSTRACT: Identifying genetic risk factors underpinning different aspects of Alzheimer's disease has the potential to provide important insights into pathogenesis. Moving away from simple case-control definitions, there is considerable interest in using quantitative endophenotypes, such as those derived from imaging as outcome measures. Previous genome-wide association studies of imaging-derived biomarkers in sporadic late-onset Alzheimer's disease focused only on phenotypes derived from single imaging modalities. In contrast, we computed a novel multi-modal neuroimaging phenotype comprising cortical amyloid burden and bilateral hippocampal volume. Both imaging biomarkers were used as input to a disease progression modelling algorithm, which estimates the biomarkers' long-term evolution curves from

SUBMITTER: Scelsi MA 

PROVIDER: S-EPMC6022660 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature