Spatial correlations exploitation based on nonlocal voxel-wise GWAS for biomarker detection of AD.

ABSTRACT: Potential biomarker detection is a crucial area of study for the prediction, diagnosis, and monitoring of Alzheimer's disease (AD). The voxelwise genome-wide association study (vGWAS) is widely used in imaging genomics studies that is usually applied to the detection of AD biomarkers in both imaging and genetic data. However, performing vGWAS remains a challenge because of the computational complexity of the technique and our ignorance of the spatial correlations within the imaging data. In this paper, we propose a novel method based on the exploitation of spatial correlations that may help to detect potential AD biomarkers using a fast vGWAS. To incorporate spatial correlations, we applied a nonlocal method that supposed that a given voxel could be represented by weighting the sum of the

SUBMITTER: Huang M 

PROVIDER: S-EPMC6413305 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature