ArticleNature communications2023
Multivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes.Nature genetics · 2023Pooled it
- Early‑life head circumference is causally associated with adult executive function through cortical surface area expansion.Developmental cognitive neuroscience · 2026Article
- Molecular genetic influences on sustained attention and executive processes and their links with psychopathology in the AFFECT study.Molecular psychiatry · 2026Article
- Regional sex differences in human cortical anatomy vary in their morphometric bases and overlap with sex chromosomal and gonadal influences.Nature communications · 2026Article
- Profiling the Onco-metabolic Nexus and Improving Cancer Risk Prediction Performance: A Large-scale Cohort and Genome-Wide Pleiotropic Analysis.Cancer research communications · 2026Article
- Transdiagnostic and Disorder-Level Genome-Wide Association Studies Enhance Precision of Substance Use and Psychiatric Genetic Risk Profiles in African and European Ancestries.Biological psychiatry · 2026Article
- Altered cortical structure and networks associated with psychosocial adversity and pain hyposensitivity in adolescents with non-suicidal self-injury.BMC psychiatry · 2025Article
- Cerebral cortical structures linked to intelligence.bioRxiv : the preprint server for biology · 2025Article
- Fractionation of sex differences in human cortical anatomy.bioRxiv : the preprint server for biology · 2025Article
- Modeling the genomic architecture of adiposity and anthropometrics across the lifespan.Nature communications · 2025Article
- Uncovering the multivariate genetic architecture of frailty with genomic structural equation modeling.Nature genetics · 2025Article
- Dataset factors associated with age-related changes in brain structure and function in neurodevelopmental conditions.Human brain mapping · 2024Article
- Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.NeuroImage · 2024Article
- Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study.Molecular psychiatry · 2024Article
- Combining Transdiagnostic and Disorder-Level GWAS Enhances Precision of Psychiatric Genetic Risk Profiles in a Multi-Ancestry Sample.medRxiv : the preprint server for health sciences · 2024Article
- Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk.Molecular psychiatry · 2024Article
- Insights into the genetic architecture of cerebellar lobules derived from the UK Biobank.Scientific reports · 2024Article
- Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology.medRxiv : the preprint server for health sciences · 2023Article
- The molecular genetic landscape of human brain size variation.Cell reports · 2023Article
- Examining the shared etiology of psychopathology with genome-wide association studies.Physiological reviews · 2023Review
Corrections and comments
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Authors and funding
6 authors.
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Abstract
Recent work in imaging genetics suggests high levels of genetic overlap within cortical regions for cortical thickness (CT) and surface area (SA). We model this multivariate system of genetic relationships by applying Genomic Structural Equation Modeling (Genomic SEM) and parsimoniously define five genomic brain factors underlying both CT and SA along with a general factor capturing genetic overlap across all brain regions. We validate these factors by demonstrating the generalizability of the model to a semi-independent sample and show that the factors align with biologically and functionally relevant parcellations of the cortex. We apply Stratified Genomic SEM to identify specific categories of genes (e.g., neuronal cell types) that are disproportionately associated with pleiotropy across specific subclusters of brain regions, as indexed by the genomic factors. Finally, we examine genetic associations with psychiatric and cognitive correlates, finding that broad aspects of cognitive function are associated with a general factor for SA and that psychiatric associations are null. These analyses provide key insights into the multivariate genomic architecture of two critical features of the cerebral cortex.
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