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在一组孤立性和综合征性发育迟缓/智力障碍的队列中进行拷贝数变异分析,揭示了新的基因组疾病、位置效应和候选疾病基因。

Copy number variants analysis in a cohort of isolated and syndromic developmental delay/intellectual disability reveals novel genomic disorders, position effects and candidate disease genes.

机构信息

University of Torino, Department of Medical Sciences, Turin, Italy.

Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Turin, Italy.

出版信息

Clin Genet. 2017 Oct;92(4):415-422. doi: 10.1111/cge.13009. Epub 2017 Jul 25.

DOI:10.1111/cge.13009
PMID:
28295210
Abstract

BACKGROUND

Array-comparative genomic hybridization (array-CGH) is a widely used technique to detect copy number variants (CNVs) associated with developmental delay/intellectual disability (DD/ID).

AIMS

Identification of genomic disorders in DD/ID.

MATERIALS AND METHODS

We performed a comprehensive array-CGH investigation of 1,015 consecutive cases with DD/ID and combined literature mining, genetic evidence, evolutionary constraint scores, and functional information in order to assess the pathogenicity of the CNVs.

RESULTS

We identified non-benign CNVs in 29% of patients. Amongst the pathogenic variants (11%), detected with a yield consistent with the literature, we found rare genomic disorders and CNVs spanning known disease genes. We further identified and discussed 51 cases with likely pathogenic CNVs spanning novel candidate genes, including genes encoding synaptic components and/or proteins involved in corticogenesis. Additionally, we identified two deletions spanning potential Topological Associated Domain (TAD) boundaries probably affecting the regulatory landscape.

DISCUSSION AND CONCLUSION

We show how phenotypic and genetic analyses of array-CGH data allow unraveling complex cases, identifying rare disease genes, and revealing unexpected position effects.

摘要

背景

比较基因组杂交(array-CGH)是一种广泛用于检测与发育迟缓/智力障碍(DD/ID)相关的拷贝数变异(CNVs)的技术。

目的

鉴定 DD/ID 中的基因组疾病。

材料和方法

我们对 1015 例连续的 DD/ID 患者进行了全面的 array-CGH 调查,并结合文献挖掘、遗传证据、进化约束评分和功能信息,以评估 CNVs 的致病性。

结果

我们在 29%的患者中发现了非良性 CNVs。在 11%的致病性变异中,我们发现了罕见的基因组疾病和跨越已知疾病基因的 CNVs。我们进一步鉴定并讨论了 51 例可能具有致病性的 CNVs,跨越新的候选基因,包括编码突触成分和/或参与皮质发生的蛋白质的基因。此外,我们还鉴定了两个跨越潜在拓扑相关结构域(TAD)边界的缺失,可能影响调节景观。

讨论和结论

我们展示了如何通过 array-CGH 数据分析的表型和遗传分析来阐明复杂病例,鉴定罕见的疾病基因,并揭示意想不到的位置效应。

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