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Related Experiment Video

Updated: Feb 26, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Imaging-wide association study: Integrating imaging endophenotypes in GWAS.

Zhiyuan Xu¹, Chong Wu¹, Wei Pan¹

¹Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.

|July 25, 2017

Summary

A novel imaging-wide association study (IWAS) method integrates brain imaging with genetic data to discover new Alzheimer's disease (AD) genes. This powerful approach significantly enhances the identification of AD-associated genes compared to traditional methods.

Keywords:

Alzheimer's disease IWAS MRI SPU test SSU test Sum test TWAS aSPU test

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Area of Science:

Neuroimaging
Genetics
Statistical genomics

Background:

Genome-wide association studies (GWAS) identify genetic variants associated with diseases.
Integrating diverse data types can improve the power and interpretability of GWAS.
Transcriptome-wide association study (TWAS) uses gene expression data to enhance GWAS.

Purpose of the Study:

To introduce and validate a new method, imaging-wide association study (IWAS), for integrating imaging endophenotypes with GWAS.
To boost statistical power and enhance biological interpretation for GWAS discoveries.
To identify novel genes associated with Alzheimer's disease (AD).

Main Methods:

IWAS integrates imaging endophenotypes (e.g., gray-matter volumes) with GWAS data.
Utilized structural MRI data from ADNI-1 for imaging endophenotypes.
Applied IWAS to individual-level GWAS data (ADNI-GO/2) and large meta-analyzed GWAS summary statistics.
Compared IWAS performance with TWAS.

Main Results:

IWAS uncovered novel genes significantly associated with Alzheimer's disease (AD).
IWAS identified a substantially larger number of significant AD-associated genes compared to TWAS.
The enhanced discovery by IWAS is attributed to the stronger association between brain atrophy and AD.

Conclusions:

IWAS is a powerful and generalizable approach for integrating imaging endophenotypes with GWAS.
IWAS significantly improves the discovery of AD-associated genes.
The method has broad applicability to various imaging endophenotypes and GWAS data types.