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Genes and biological processes commonly disrupted in rare and heterogeneous developmental delay syndromes.

机译:基因和生物学过程通常在稀有和异质发育延迟综合征中被破坏。

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Rare copy number variations (CNVs) are a recognized cause of common human disease. Predicting the genetic element(s) within a small CNV whose copy number loss or gain underlies a specific phenotype might be achieved reasonably rapidly for single patients. Identifying the biological processes that are commonly disrupted within a large patient cohort which possess larger CNVs, however, requires a more objective approach that exploits genomic resources. In this study, we first identified 98 large, rare CNVs within patients exhibiting multiple congenital anomalies. All patients presented with global developmental delay (DD), while other secondary symptoms such as cardiac defects, craniofacial features and seizures were varyingly presented. By applying a robust statistical procedure that matches patients' clinical phenotypes to laboratory mouse gene knockouts, we were able to strongly implicate anomalies in brain morphology and, separately, in long-term potentiation as manifestations of these DD patients' disorders. These and other significantly enriched model phenotypes provide insights into the pathoetiology of human DD and behavioral and anatomical secondary symptoms that are specific to DD patients. These enrichments set apart 103 genes, from among thousands overlapped by these CNVs, as strong candidates whose copy number change causally underlies approximately 46% of the cohort's DD syndromes and between 59 and 80% of the cohort's secondary symptoms. We also identified significantly enriched model phenotypes among genes overlapped by CNVs in both DD and learning disability cohorts, indicating a congruent etiology. These results demonstrate the high predictive potential of model organism phenotypes when implicating candidate genes for rare genomic disorders.
机译:稀有拷贝数变异(CNV)是公认的人类常见疾病的病因。对于单个患者,可以合理快速地预测其拷贝数丢失或增加是特定表型基础的小型CNV中的遗传因素。但是,要确定拥有较大CNV的大型患者队列中通常被破坏的生物学过程,就需要一种更加客观的方法来利用基因组资源。在这项研究中,我们首先在表现出多种先天性异常的患者中发现了98个大型罕见CNV。所有患者均表现为整体发育迟缓(DD),而其他继发性症状(如心脏缺陷,颅面特征和癫痫发作)则有所不同。通过应用与患者的临床表型匹配实验室小鼠基因敲除的可靠的统计程序,我们能够强烈暗示大脑形态异常,以及长期增强,作为这些DD患者疾病的表现。这些以及其他显着丰富的模型表型为人类DD的病理学以及DD患者特有的行为和解剖学继发症状提供了见识。这些富集从这些CNV重叠的数千个基因中分离出103个基因,因为其强大的候选基因的拷贝数变化是该队列DD综合征的约46%和该队列第二性症状的59至80%的因果。我们还确定了在DD和学习障碍人群中被CNV重叠的基因之间显着丰富的模型表型,表明病因是一致的。这些结果表明牵涉罕见基因组疾病的候选基因时,模型生物表型具有很高的预测潜力。

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