Biology

Common genetic variants shape brain structure in specific regions

AI Insight

This study mapped how genetic variants associated with specific brain regions actually influence brain structure across the entire brain. Researchers created polygenic scores for ten brain volume regions and tested them against detailed brain scans in an independent sample. They discovered that genetic variants linked to some structures like the amygdala, thalamus, and basal ganglia had localized effects, while genes associated with brainstem volume showed widespread effects throughout the brain.


This research reveals that genetic influences on brain structure are more complex than previously thought, with some genes having focal effects and others affecting multiple brain regions. These findings could improve understanding of how genetic risk factors contribute to neurological and psychiatric disorders by showing which brain networks share common genetic architecture.


Understand the Science

Neuroimaging 7 articles Explore Concept → Brain morphology Concept coming soon

⚠️ Preprint – Noch nicht peer-reviewed

Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.

Genome-wide association studies (GWAS) have advanced the quest to understand how specific genetic variants influence human brain structure and function. Recent work has identified hundreds of common variants associated with subcortical brain volumes, sparking interest in how these genetic markers overlap across brain networks. While this can be estimated by hierarchical clustering of the genetic correlation matrix to identify modular patterns of shared architecture, no brain-wide maps of these effects are available. To address this, we computed polygenic scores (PGS) from loci associated with ten brain volume regions of interest (ROIs): nine major subcortical structures and intracranial volume, with each locus weighted by its association with regional volume. In an independent sample from the discovery GWAS, we performed large-scale segmentation of 3D volumetric T1-weighted MRI scans using voxel-based morphometry (VBM) to map 3D profile of regions where gray matter volume (GMV) was associated with each PGS. We found statistically significant, localized effects for PGS defined for the amygdala, thalamus, and basal ganglia, but PGS for brainstem volume was associated with widespread differences throughout the brain. These brain-wide maps reveal patterns consistent with both localized and distributed genetic influences, offering a novel approach to interpret the genomic architecture of brain structure.

Source: Mapping Focal and Generalized Effects of Common Genetic Variants on Human Brain Structure