ArticleCerebral cortex (New York, N.Y. : 1991)2020
Quantifying the Polygenic Architecture of the Human Cerebral Cortex: Extensive Genetic Overlap between Cortical Thickness and Surface Area.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.Molecular psychiatry · 2026Article
- Common alleles associated with connectivity within and across the brain's main functional networks.Nature communications · 2026Article
- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- Exploration of Genetic Overlap of Brain Phenotypes With Schizophrenia: Different Methods Provide Complementary Insights.Schizophrenia bulletin · 2026Article
- Cortical gray-white matter contrast alterations precede amyloid-β positivity and macrostructural changes in older adults without dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Imaging Genomics Across Primate Species: Advancing Understanding of Neurological and Psychiatric Disorders.Neuroscience bulletin · 2026Review
- Dissociable contributions of cortical thickness and surface area to cognitive ageing: evidence from multiple longitudinal cohorts.bioRxiv : the preprint server for biology · 2026Article
- Associations between early life adversity and the development of gray matter macrostructure and microstructure.Psychological medicine · 2025Article
- Global organisation of structural covariance networks derived from parcellated cortical surface area in atypical populations.bioRxiv : the preprint server for biology · 2025Article
- Mapping the Genetic Landscape of Psychiatric Disorders With the MiXeR Toolset.Biological psychiatry · 2025Review
- Brain Cortical Volume and Thickness Abnormalities in Autism Spectrum Disorder Aged 2-4 Years: a Structural MRI Comparative Study.Journal of autism and developmental disorders · 2025Article
- Cross-ancestry and sex-stratified genome-wide association analyses of amygdala and subnucleus volumes.Nature genetics · 2025Article
- Characterising the association between posterior parietal metabolite levels and cortical macrostructure in a cohort spanning childhood to adulthood.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture.Translational psychiatry · 2024Article
- Syndrome-Specific Neuroanatomical Phenotypes in Girls With Turner and Noonan Syndromes.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions.Developmental cognitive neuroscience · 2024Article
- Genomic Structural Equation Modeling Reveals Latent Phenotypes in the Human Cortex with Distinct Genetic Architecture.Research square · 2023Article
- Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Structural neuroimaging phenotypes and associated molecular and genomic underpinnings in autism: a review.Frontiers in neuroscience · 2023Review
- The link between liver fat and cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body composition.Communications biology · 2022Article
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Authors and funding
11 authors.
Funding
Abstract
The thickness of the cerebral cortical sheet and its surface area are highly heritable traits thought to have largely distinct polygenic architectures. Despite large-scale efforts, the majority of their genetic determinants remain unknown. Our ability to identify causal genetic variants can be improved by employing brain measures that better map onto the biology we seek to understand. Such measures may have fewer variants but with larger effects, that is, lower polygenicity and higher discoverability. Using Gaussian mixture modeling, we estimated the number of causal variants shared between mean cortical thickness and total surface area, as well as the polygenicity and discoverability of regional measures. We made use of UK Biobank data from 30 880 healthy White European individuals (mean age 64.3, standard deviation 7.5, 52.1% female). We found large genetic overlap between total surface area and mean thickness, sharing 4016 out of 7941 causal variants. Regional surface area was more discoverable (P = 2.6 × 10-6) and less polygenic (P = 0.004) than regional thickness measures. These findings may serve as a roadmap for improved future GWAS studies; knowledge of which measures are most discoverable may be used to boost identification of genetic predictors and thereby gain a better understanding of brain morphology.
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