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鉴定与神经发育障碍相关的 CNV 区域中的新型驱动风险基因。

Identification of novel driver risk genes in CNV loci associated with neurodevelopmental disorders.

机构信息

STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain; Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain.

STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain.

出版信息

HGG Adv. 2024 Jul 18;5(3):100316. doi: 10.1016/j.xhgg.2024.100316. Epub 2024 Jun 6.

Abstract

Copy-number variants (CNVs) are genome-wide structural variations involving the duplication or deletion of large nucleotide sequences. While these types of variations can be commonly found in humans, large and rare CNVs are known to contribute to the development of various neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD). Nevertheless, given that these NDD-risk CNVs cover broad regions of the genome, it is particularly challenging to pinpoint the critical gene(s) responsible for the manifestation of the phenotype. In this study, we performed a meta-analysis of CNV data from 11,614 affected individuals with NDDs and 4,031 control individuals from SFARI database to identify 41 NDD-risk CNV loci, including 24 novel regions. We also found evidence for dosage-sensitive genes within these regions being significantly enriched for known NDD-risk genes and pathways. In addition, a significant proportion of these genes was found to (1) converge in protein-protein interaction networks, (2) be among most expressed genes in the brain across all developmental stages, and (3) be hit by deletions that are significantly over-transmitted to individuals with ASD within multiplex ASD families from the iHART cohort. Finally, we conducted a burden analysis using 4,281 NDD cases from Decipher and iHART cohorts, and 2,504 neurotypical control individuals from 1000 Genomes and iHART, which resulted in the validation of the association of 162 dosage-sensitive genes driving risk for NDDs, including 22 novel NDD-risk genes. Importantly, most NDD-risk CNV loci entail multiple NDD-risk genes in agreement with a polygenic model associated with the majority of NDD cases.

摘要

拷贝数变异(CNVs)是基因组范围内的结构变异,涉及大核苷酸序列的重复或缺失。虽然这些类型的变异在人类中很常见,但大的和罕见的 CNVs 已知会导致各种神经发育障碍(NDD)的发展,包括自闭症谱系障碍(ASD)。然而,鉴于这些 NDD 风险 CNV 覆盖了基因组的广泛区域,精确定位负责表型表现的关键基因是特别具有挑战性的。在这项研究中,我们对来自 SFARI 数据库的 11614 名患有 NDD 的受影响个体和 4031 名对照个体的 CNV 数据进行了荟萃分析,以确定 41 个 NDD 风险 CNV 位点,包括 24 个新区域。我们还发现,这些区域内剂量敏感基因的证据明显富集了已知的 NDD 风险基因和途径。此外,这些基因中的很大一部分(1)在蛋白质-蛋白质相互作用网络中汇聚,(2)在所有发育阶段的大脑中都是表达最多的基因之一,(3)在来自 iHART 队列的多基因 ASD 家族中,与 ASD 个体相比,这些基因的缺失明显过度传递。最后,我们使用 Decipher 和 iHART 队列中的 4281 名 NDD 病例和 1000 Genomes 和 iHART 中的 2504 名神经典型对照个体进行了负担分析,结果验证了 162 个剂量敏感基因与 NDD 风险的关联,包括 22 个新的 NDD 风险基因。重要的是,大多数 NDD 风险 CNV 位点涉及多个 NDD 风险基因,符合与大多数 NDD 病例相关的多基因模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2908/11264174/8bb07b2275d0/fx1.jpg

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