{"doi":"10.1093/cercor/bhz241","title":"Polygenic Architecture of Human Neuroanatomical Diversity","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.","journal":"Cerebral Cortex","year":2020,"id":68124,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":22,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.883,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":361127,"name":"Nicolas Traut","orcid":"0000-0003-3277-6316","position":1,"is_corresponding":false},{"id":60908,"name":"Jean‐Baptiste Poline","orcid":"0000-0002-9794-749X","position":2,"is_corresponding":false},{"id":361128,"name":"Benjamin S. 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Hagenaars","orcid":"0000-0001-9697-8596","position":10,"is_corresponding":false},{"id":285224,"name":"Ryota Hashimoto","orcid":"0000-0002-5941-4238","position":11,"is_corresponding":false},{"id":107828,"name":"Masataka Kikuchi","orcid":"0000-0002-9562-841X","position":12,"is_corresponding":false},{"id":245377,"name":"Susana Muñoz Maniega","orcid":"0000-0001-5185-6384","position":13,"is_corresponding":false},{"id":2347,"name":"Matthias Nauck","orcid":"0000-0002-6678-7964","position":14,"is_corresponding":false},{"id":362746,"name":"Natalie A. Royle","orcid":null,"position":15,"is_corresponding":false},{"id":5296,"name":"Alexander Teumer","orcid":"0000-0002-8309-094X","position":16,"is_corresponding":false},{"id":294712,"name":"María Valdés Hernández","orcid":"0000-0003-2771-6546","position":17,"is_corresponding":false},{"id":55369,"name":"Uwe Völker","orcid":"0000-0002-5689-3448","position":18,"is_corresponding":false},{"id":17637,"name":"Joanna M. 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