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GWAS Study

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

Huang M, Yu Y, Yang W et al.

31095298 PubMed ID
GWAS Study Type
708 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HM
Huang M
YY
Yu Y
YW
Yang W
FQ
Feng Q
Chapter II

Abstract

Summary of the research findings

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.

708 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

708
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Canada, U.S.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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