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An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
UK Biobank is a major prospective epidemiological study, including multimodal brain imaging, genetics and ongoing health outcomes. Previously, we published genome-wide associations of 3,144 brain imaging-derived phenotypes, with a discovery sample of 8,428 subjects. Here we present a new open resour...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610742/ https://www.ncbi.nlm.nih.gov/pubmed/33875891 http://dx.doi.org/10.1038/s41593-021-00826-4 |
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author | Smith, Stephen M Douaud, Gwenaëlle Chen, Winfield Hanayik, Taylor Alfaro-Almagro, Fidel Sharp, Kevin Elliott, Lloyd T |
author_facet | Smith, Stephen M Douaud, Gwenaëlle Chen, Winfield Hanayik, Taylor Alfaro-Almagro, Fidel Sharp, Kevin Elliott, Lloyd T |
author_sort | Smith, Stephen M |
collection | PubMed |
description | UK Biobank is a major prospective epidemiological study, including multimodal brain imaging, genetics and ongoing health outcomes. Previously, we published genome-wide associations of 3,144 brain imaging-derived phenotypes, with a discovery sample of 8,428 subjects. Here we present a new open resource of GWAS summary statistics, using the 2020 data release, almost tripling the discovery sample size. We now include the X chromosome, and new classes of image derived phenotypes (subcortical volumes and tissue contrast). Previously we had found 148 replicated clusters of associations between genetic variants and imaging phenotypes; here we find 692, including 12 on the X chromosome. We describe some of the newly found associations, focussing on the X chromosome and autosomal associations involving the new classes of imaging-derived phenotypes. Our novel associations implicate e.g. pathways involved in the rare X-linked syndrome STAR (syndactyly, telecanthus and anogenital and renal malformations), Alzheimer’s disease and mitochondrial disorders. |
format | Online Article Text |
id | pubmed-7610742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76107422021-05-09 An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank Smith, Stephen M Douaud, Gwenaëlle Chen, Winfield Hanayik, Taylor Alfaro-Almagro, Fidel Sharp, Kevin Elliott, Lloyd T Nat Neurosci Article UK Biobank is a major prospective epidemiological study, including multimodal brain imaging, genetics and ongoing health outcomes. Previously, we published genome-wide associations of 3,144 brain imaging-derived phenotypes, with a discovery sample of 8,428 subjects. Here we present a new open resource of GWAS summary statistics, using the 2020 data release, almost tripling the discovery sample size. We now include the X chromosome, and new classes of image derived phenotypes (subcortical volumes and tissue contrast). Previously we had found 148 replicated clusters of associations between genetic variants and imaging phenotypes; here we find 692, including 12 on the X chromosome. We describe some of the newly found associations, focussing on the X chromosome and autosomal associations involving the new classes of imaging-derived phenotypes. Our novel associations implicate e.g. pathways involved in the rare X-linked syndrome STAR (syndactyly, telecanthus and anogenital and renal malformations), Alzheimer’s disease and mitochondrial disorders. 2021-05-01 2021-04-19 /pmc/articles/PMC7610742/ /pubmed/33875891 http://dx.doi.org/10.1038/s41593-021-00826-4 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. |
spellingShingle | Article Smith, Stephen M Douaud, Gwenaëlle Chen, Winfield Hanayik, Taylor Alfaro-Almagro, Fidel Sharp, Kevin Elliott, Lloyd T An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title_full | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title_fullStr | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title_full_unstemmed | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title_short | An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank |
title_sort | expanded set of genome-wide association studies of brain imaging phenotypes in uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610742/ https://www.ncbi.nlm.nih.gov/pubmed/33875891 http://dx.doi.org/10.1038/s41593-021-00826-4 |
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