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罕见的 CNVs 和全表型分析突出了大脑结构的差异和表型的趋同。

Rare CNVs and phenome-wide profiling highlight brain structural divergence and phenotypical convergence.

机构信息

Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.

Mila - Quebec Artificial Intelligence Institute, Montréal, Quebec, Canada.

出版信息

Nat Hum Behav. 2023 Jun;7(6):1001-1017. doi: 10.1038/s41562-023-01541-9. Epub 2023 Mar 2.

DOI:10.1038/s41562-023-01541-9
PMID:36864136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7615290/
Abstract

Copy number variations (CNVs) are rare genomic deletions and duplications that can affect brain and behaviour. Previous reports of CNV pleiotropy imply that they converge on shared mechanisms at some level of pathway cascades, from genes to large-scale neural circuits to the phenome. However, existing studies have primarily examined single CNV loci in small clinical cohorts. It remains unknown, for example, how distinct CNVs escalate vulnerability for the same developmental and psychiatric disorders. Here we quantitatively dissect the associations between brain organization and behavioural differentiation across 8 key CNVs. In 534 CNV carriers, we explored CNV-specific brain morphology patterns. CNVs were characteristic of disparate morphological changes involving multiple large-scale networks. We extensively annotated these CNV-associated patterns with ~1,000 lifestyle indicators through the UK Biobank resource. The resulting phenotypic profiles largely overlap and have body-wide implications, including the cardiovascular, endocrine, skeletal and nervous systems. Our population-level investigation established brain structural divergences and phenotypical convergences of CNVs, with direct relevance to major brain disorders.

摘要

拷贝数变异 (CNVs) 是罕见的基因组缺失和重复,可影响大脑和行为。先前关于 CNV 多效性的报告表明,它们在某种程度的途径级联上汇聚于共享机制,从基因到大规模神经网络再到表型。然而,现有研究主要在小的临床队列中研究单个 CNV 基因座。例如,不同的 CNV 如何增加相同发育和精神障碍的易感性仍然未知。在这里,我们定量剖析了 8 个关键 CNV 之间大脑组织和行为分化的关联。在 534 个 CNV 携带者中,我们探索了 CNV 特异性的大脑形态模式。CNVs 具有不同的形态变化特征,涉及多个大规模网络。我们通过英国生物银行资源对这些与 CNV 相关的模式进行了广泛的注释,涉及约 1000 个生活方式指标。由此产生的表型特征在很大程度上重叠,并具有全身性影响,包括心血管、内分泌、骨骼和神经系统。我们的人群水平研究确立了 CNV 的大脑结构差异和表型趋同,与主要的大脑疾病直接相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/f6cc35276bee/EMS190340-f006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/a291c570a26c/EMS190340-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/4295eb5ed095/EMS190340-f004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/f6cc35276bee/EMS190340-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/161ad36427a5/EMS190340-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/87db2bb95444/EMS190340-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/a291c570a26c/EMS190340-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/4295eb5ed095/EMS190340-f004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff3/7615290/f6cc35276bee/EMS190340-f006.jpg

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