生命银行
全基因组关联研究
联想(心理学)
表型
影像遗传学
集合(抽象数据类型)
神经科学家
生物
大脑研究
神经科学
遗传学
基因组
大脑定位
神经影像学
计算生物学
心理学
单核苷酸多态性
计算机科学
基因型
中枢神经系统
基因
髓鞘
少突胶质细胞
心理治疗师
程序设计语言
作者
Stephen M. Smith,Gwenaëlle Douaud,Winfield Chen,Taylor Hanayik,Fidel Alfaro‐Almagro,Kevin Sharp,Lloyd T. Elliott
标识
DOI:10.1038/s41593-021-00826-4
摘要
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 individuals. Here we present a new open resource of genome-wide association study summary statistics, using the 2020 data release, almost tripling the discovery sample size. We now include the X chromosome and new classes of imaging-derived phenotypes (subcortical volumes and tissue contrast). Previously, we found 148 replicated clusters of associations between genetic variants and imaging phenotypes; in this study, we found 692, including 12 on the X chromosome. We describe some of the newly found associations, focusing on the X chromosome and autosomal associations involving the new classes of imaging-derived phenotypes. Our novel associations implicate, for example, pathways involved in the rare X-linked STAR (syndactyly, telecanthus and anogenital and renal malformations) syndrome, Alzheimer’s disease and mitochondrial disorders. The Elliott and Smith teams used imaging and genetics data from 40,000 volunteers in the UK Biobank healthcare study, discovering new genetic influences over brain structure and function, which are of relevance to both rare and common diseases.
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