Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data

Area of Science:

• Neuroscience
• Genetics
• Medical Imaging

Background:

• Brain imaging genetics links genetic variations to brain imaging traits.
• Heritability quantifies genetic influence on brain imaging quantitative traits (QTs).
• Current methods using predefined atlases like AAL may obscure genetic signals due to regional heterogeneity.

Purpose of the Study:

• To develop a novel method for defining highly heritable brain regions.
• To improve the power of imaging genetic association studies by refining endophenotype construction.
• To enhance the interpretability of genetic findings in brain imaging.

Main Methods:

• Utilized voxelwise heritability estimates to identify spatially connected, high-heritability brain regions.
• Applied the method to amyloid imaging and whole-genome sequencing data from an Alzheimer's disease biobank.
• Compared the heritability of regions defined by the novel method against those from the AAL atlas.

Main Results:

• Regions identified by the proposed method demonstrated significantly higher heritability compared to AAL-defined regions.
• The novel approach effectively extracts genetically informative brain areas.
• Empirical validation on Alzheimer's disease data confirmed the method's efficacy.

Conclusions:

• The proposed method refines brain imaging endophenotypes for genetic dissection.
• Yields more powerful quantitative traits for detecting genetic risk factors.
• Offers improved interpretability in brain imaging genetics studies.