Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection.

ABSTRACT:

Motivation

The detection of potential biomarkers of Alzheimer's disease (AD) is crucial for its early prediction, diagnosis and treatment. Voxel-wise genome-wide association study (VGWAS) is a commonly used method in imaging genomics and usually applied to detect AD biomarkers in imaging and genetic data. However, existing VGWAS methods entail large computational cost and disregard spatial correlations within imaging data. A novel method is proposed to solve these issues.

Results

We introduce a novel method to incorporate spatial correlations into a VGWAS framework for the detection of potential AD biomarkers. To consider the characteristics of AD, we first present a modification of a simple linear iterative clustering method for spatial grouping in an anatomically meaningfu

SUBMITTER: Huang M 

PROVIDER: S-EPMC6954655 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature