ArticleCerebral cortex (New York, N.Y. : 1991)2019
Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data.BMC bioinformatics · 2022Pooled it
- [Research progress on genetic effects of the asymmetry of human brain structure revealed by magnetic resonance imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Pooled it
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
- Dissecting the Strain and Sex Specific Connectome Signatures of Unanesthetized C57BL/6J and DBA/2J Mice Using Magnetic Resonance Imaging.Genes, brain, and behavior · 2026Article
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- The genetic architecture of cortical similarity networks.Nature communications · 2026Article
- Phenome-wide analysis of genetically imputed neuroimaging phenotypes reveals associations with psychiatric traits in a multi-ancestry cohort.medRxiv : the preprint server for health sciences · 2025Article
- Socioeconomic context influences the heritability of child cortical structure.Communications biology · 2025Article
- Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025Article
- Whole genome sequence association analysis of brain structural volume measures in the NHLBI TOPMed Program highlights novel loci in diverse participants.medRxiv : the preprint server for health sciences · 2025Article
- Genetic Links Between Subcortical Brain Morphometry and Suicide Attempt Risk in Children and Adults.Human brain mapping · 2025Article
- Multivariate Bayesian variable selection for multi-trait genetic fine mapping.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025Article
- The X chromosome's influences on the human brain.Science advances · 2025Article
- A sex-stratified analysis of the genetic architecture of human brain anatomy.Nature communications · 2024Article
- Integrating Multi-Organ Imaging-Derived Phenotypes and Genomic Information for Predicting the Occurrence of Common Diseases.Bioengineering (Basel, Switzerland) · 2024Article
- Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence.Journal of child psychology and psychiatry, and allied disciplines · 2024Article
- Multi-organ imaging-derived polygenic indexes for brain and body health.medRxiv : the preprint server for health sciences · 2024Article
- Data leakage inflates prediction performance in connectome-based machine learning models.Nature communications · 2024Article
- Heritability estimation of subcortical volumes in a multi-ethnic multi-site cohort study.bioRxiv : the preprint server for biology · 2024Article
- The effects of data leakage on connectome-based machine learning models.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
Brain genetics is an active research area. The degree to which genetic variants impact variations in brain structure and function remains largely unknown. We examined the heritability of regional brain volumes (P ~ 100) captured by single-nucleotide polymorphisms (SNPs) in UK Biobank (n ~ 9000). We found that regional brain volumes are highly heritable in this study population and common genetic variants can explain up to 80% of their variabilities (median heritability 34.8%). We observed omnigenic impact across the genome and examined the enrichment of SNPs in active chromatin regions. Principal components derived from regional volume data are also highly heritable, but the amount of variance in brain volume explained by the component did not seem to be related to its heritability. Heritability estimates vary substantially across large-scale functional networks, exhibit a symmetric pattern across left and right hemispheres, and are consistent in females and males (correlation = 0.638). We repeated the main analysis in Alzheimer's Disease Neuroimaging Initiative (n ~ 1100), Philadelphia Neurodevelopmental Cohort (n ~ 600), and Pediatric Imaging, Neurocognition, and Genetics (n ~ 500) datasets, which demonstrated that more stable estimates can be obtained from the UK Biobank.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.