| Title: | Shared genetic architecture between the topology of brain white matter structural connectome and fluid intelligence |
| Journal: | Communications Biology |
| Published: | 6 May 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42092107/ |
| DOI: | https://doi.org/10.1038/s42003-026-10131-0 |
Publication 20158
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
White matter (WM) connections support efficient interregional communication and form the structural basis of human fluid intelligence. However, the shared genetic architecture between WM structural connectome and fluid intelligence remains largely unknown. In this study, we analyzed diffusion-weighted MRI data from 26,655 UK Biobank participants to construct individual WM connectome and performed genome-wide association analyses on global and regional network topology. We identified 41 single nucleotide polymorphisms (SNPs) significantly associated with global efficiency and 45 SNPs linked to nodal efficiency. Genetic correlations with fluid intelligence were observed for 128 brain regions, with 44 and 3 regions sharing SNPs within chromosomes 6q21 and 3p21.1, respectively. Mendelian randomization revealed causal effects from WM connectome to fluid intelligence, particularly in the orbital and superior frontal gyrus. Finally, integrating polygenic scores with network efficiency improved the prediction of individual fluid intelligence. These findings highlight the genetic basis linking WM connectome topology and fluid intelligence, providing new insights into the neurogenetic underpinnings of fluid intelligence.</p>
9 Authors
- Xinyi Dong
- Weijie Huang
- Hao-Jie Chen
- Yunhao Zhang
- Bing Liu
- Daoqiang Zhang
- Zhanjun Zhang
- Guolin Ma
- Ni Shu
1 Application
| Application ID | Title |
|---|---|
| 49749 | Neuroimaging-based prediction of brain age and cognition |
Enabling scientific discoveries that improve human health