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Updated: Apr 20, 2026

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
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Genome-wide association studies of brain diffusion kurtosis imaging phenotypes
Jilian Fu1, Jianhua Wang2, Hui Xue1
1Department of Radiology, Tianjin Key Laboratory of Functional Imaging, and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, 300052, Tianjin, China.
Ebiomedicine
|April 18, 2026
Summary
This study reveals the genetic underpinnings of brain diffusion kurtosis imaging (DKI) phenotypes, offering new insights into brain microstructure and health. It identifies specific genetic variants associated with brain structure and function, aiding in understanding neurological disorders.
Area of Science:
- Neuroimaging genetics
- Quantitative neuroimaging
- Brain microstructure analysis
Background:
- Diffusion Kurtosis Imaging (DKI) quantifies non-Gaussian water diffusion, extending Diffusion Tensor Imaging (DTI) for brain disorder research.
- The genetic architecture of brain DKI phenotypes has not yet been established.
- Understanding the genetic basis of DKI phenotypes is crucial for advancing neuroimaging in psychiatry and neurology.
Purpose of the Study:
- To estimate the heritability of brain DKI phenotypes.
- To conduct genome-wide association studies (GWASs) for DKI phenotypes and compare them with DTI-GWASs.
- To explore the biological significance of DKI phenotypes by examining their associations with brain health and mental disorders.
Main Methods:
- Genome-wide association studies (GWASs) were performed on 804 DKI phenotypes in 4183 participants across 188 brain structures.
- DKI-GWAS results were compared with 752 DTI-GWAS results from the same cohort.
- Associations between DKI phenotypes and brain health outcomes, as well as polygenic risk scores (PRSs) for mental disorders, were investigated.
Main Results:
- 275 out of 804 DKI phenotypes exhibited significant heritability (h² range: 0.143-0.602).
- 280 significant associations (P < 5 × 10⁻⁸) were detected, with 38 surviving Bonferroni correction.
- 175 out of 229 independent variant-structure associations for DKI were DKI-specific, highlighting unique genetic insights.
Conclusions:
- The study successfully delineated the genetic architecture of brain DKI phenotypes.
- DKI-GWASs provide complementary genetic insights into brain microstructure beyond traditional DTI.
- DKI phenotypes serve as biologically relevant endophenotypes for investigating neural mechanisms in brain disorders.

