Genetic architecture of the structural connectome.

Journal: Nature communications

Volume: 15

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada. m.wainberg@utoronto.ca. Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada. QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. Department of Psychiatry, University of Toronto, Toronto, ON, Canada. colin.hawco@camh.ca. Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada. shreejoy.tripathy@camh.ca.

Abstract summary 

Myelinated axons form long-range connections that enable rapid communication between distant brain regions, but how genetics governs the strength and organization of these connections remains unclear. We perform genome-wide association studies of 206 structural connectivity measures derived from diffusion magnetic resonance imaging tractography of 26,333 UK Biobank participants, each representing the density of myelinated connections within or between a pair of cortical networks, subcortical structures or cortical hemispheres. We identify 30 independent genome-wide significant variants after Bonferroni correction for the number of measures studied (126 variants at nominal genome-wide significance) implicating genes involved in myelination (SEMA3A), neurite elongation and guidance (NUAK1, STRN, DPYSL2, EPHA3, SEMA3A, HGF, SHTN1), neural cell proliferation and differentiation (GMNC, CELF4, HGF), neuronal migration (CCDC88C), cytoskeletal organization (CTTNBP2, MAPT, DAAM1, MYO16, PLEC), and brain metal transport (SLC39A8). These variants have four broad patterns of spatial association with structural connectivity: some have disproportionately strong associations with corticothalamic connectivity, interhemispheric connectivity, or both, while others are more spatially diffuse. Structural connectivity measures are highly polygenic, with a median of 9.1 percent of common variants estimated to have non-zero effects on each measure, and exhibited signatures of negative selection. Structural connectivity measures have significant genetic correlations with a variety of neuropsychiatric and cognitive traits, indicating that connectivity-altering variants tend to influence brain health and cognitive function. Heritability is enriched in regions with increased chromatin accessibility in adult oligodendrocytes (as well as microglia, inhibitory neurons and astrocytes) and multiple fetal cell types, suggesting that genetic control of structural connectivity is partially mediated by effects on myelination and early brain development. Our results indicate pervasive, pleiotropic, and spatially structured genetic control of white-matter structural connectivity via diverse neurodevelopmental pathways, and support the relevance of this genetic control to healthy brain function.

Authors & Co-authors:  Wainberg Forde Mansour Kerrebijn Medland Hawco Tripathy

Study Outcome 

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Statistics
Citations :  Zhang K, Sejnowski TJ. A universal scaling law between gray matter and white matter of cerebral cortex. Proc. Natl. Acad. Sci. Usa. 2000;97:5621–5626. doi: 10.1073/pnas.090504197.
Authors :  7
Identifiers
Doi : 1962
SSN : 2041-1723
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
England