Genetic Influence underlying Brain Connectivity Phenotype: A Study on Two Age-Specific Cohorts
Shan CongiD, Xiaohui YaoiD, Linhui XieiD, Jingwen YaniD, Li SheniD, Alzheimer’s Disease Neuroimaging Initiative
Abstract
BackgroundHuman brain structural connectivity is an important imaging quantitative trait for brain development and aging. Mapping the network connectivity to the phenotypic variation provides fundamental insights in understanding the relationship between detailed brain topological architecture, function, and dysfunction. However, the underlying neurobiological mechanism from gene to brain connectome, and to phenotypic outcomes, and whether this mechanism changes over time, remain unclear. MethodsThis study analyzes diffusion weighted imaging data from two age-specific neuroimaging cohorts, extracts structural connectome topological network measures, performs genome-wide association studies (GWAS) of the measures, and examines the causality of genetic influences on phenotypic outcomes mediated via connectivity measures. ResultsOur empirical study has yielded several significant findings: 1) It identified genetic makeup underlying structural connectivity changes in the human brain connectome for both age groups. Specifically, it revealed a novel association between the minor allele (G) of rs7937515 and the decreased network segregation measures of the left middle temporal gyrus across young and elderly adults, indicating a consistent genetic effect on brain connectivity across the lifespan. 2) It revealed rs7937515 as a genetic marker for body mass index (BMI) in young adults but not in elderly adults. 3) It discovered brain network segregation alterations as a potential neuroimaging biomarker for obesity. 4) It demonstrated the hemispheric asymmetry of structural network organization in genetic association analyses and outcome-relevant studies. DiscussionThese imaging genetic findings underlying brain connectome warrant further investigation for exploring their potential influences on brain-related diseases, given the significant involvement of altered connectivity in neurological, psychiatric and physical disorders. Impact StatementThe genetic architecture underlying brain connectivity, and whether this mechanism changes over time, remain largely unknown. To understand the inter-individual variability at different life stages, this study performed genome-wide association studies of brain network connectivity measures from two age-specific neuroimaging cohorts, and identified a common association between the minor allele (G) of rs7937515 and decreased network segregation measures of the left middle temporal gyrus. The mediation analysis further elucidated neurobiological pathway of brain connectivity mediators linking the genes FAM86C1/FOLR3 with body mass index. This study provided new insights into the genetic mechanism of inter-regional connectivity alteration in the brain.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 0.13
- Field percentile
- 37th percentile
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genetic architecture of the white matter connectome of the human brain
Zhiqiang Sha, Dick Schijven, … Clyde Francks·Science AdvancesPeer-reviewed·Feb 17, 2023
- Genetic influence on resting state networks in young male and female adults
Gyujoon Hwang, Arman P. Kulkarni, … Vivek Prabhakaran·bioRxiv·Feb 13, 2021
- Genetic architecture of brain age and its casual relations with brain and mental disorders
Esten Høyland Leonardsen, Dídac Vidal-piñeiro A, … Yunpeng Wang·Molecular PsychiatryPeer-reviewed·May 10, 2023
- The Genetic Architecture of Multimodal Human Brain Age
Junhao Wen, Bingxin Zhao, … Christos A. Davatzikos·Nature CommunicationsPeer-reviewed·Mar 23, 2024
- General cognitive function and the brain's structural connectome
Colin R. Buchanan, Joanna E. Moodie, … Simon R. Cox·bioRxiv·Jul 21, 2026
- The cellular associates of late life changes in white matter microstructure
Rowena Chin, Xi-Han Zhang, … Avram J. Holmes·bioRxiv·Sep 2, 2025