ArticleCerebral cortex (New York, N.Y. : 1991)2020
Polygenic Architecture of Human Neuroanatomical Diversity.
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. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data.BMC bioinformatics · 2022Pooled it
- Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.NeuroImage · 2024Article
- Using rare genetic mutations to revisit structural brain asymmetry.Nature communications · 2024Article
- General dimensions of human brain morphometry inferred from genome-wide association data.Human brain mapping · 2023Article
- Heritability of cognitive abilities and regional brain structures in middle-aged to elderly East Asians.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies.Journal of the American Statistical Association · 2022Article
- X-chromosome influences on neuroanatomical variation in humans.Nature neuroscience · 2021Article
- Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits.Nature communications · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
25 authors.
Funding
Abstract
We analyzed the genomic architecture of neuroanatomical diversity using magnetic resonance imaging and single nucleotide polymorphism (SNP) data from >26 000 individuals from the UK Biobank project and 5 other projects that had previously participated in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium. Our results confirm the polygenic architecture of neuroanatomical diversity, with SNPs capturing from 40% to 54% of regional brain volume variance. Chromosomal length correlated with the amount of phenotypic variance captured, r ~ 0.64 on average, suggesting that at a global scale causal variants are homogeneously distributed across the genome. At a local scale, SNPs within genes (~51%) captured ~1.5 times more genetic variance than the rest, and SNPs with low minor allele frequency (MAF) captured less variance than the rest: the 40% of SNPs with MAF <5% captured <one fourth of the genetic variance. We also observed extensive pleiotropy across regions, with an average genetic correlation of rG ~ 0.45. Genetic correlations were similar to phenotypic and environmental correlations; however, genetic correlations were often larger than phenotypic correlations for the left/right volumes of the same region. The heritability of differences in left/right volumes was generally not statistically significant, suggesting an important influence of environmental causes in the variability of brain asymmetry. Our code is available athttps://github.com/neuroanatomy/genomic-architecture.
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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.