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以色列人群正常拷贝数变异的研究。

A study of normal copy number variations in Israeli population.

机构信息

Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.

Genomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel.

出版信息

Hum Genet. 2021 Mar;140(3):553-563. doi: 10.1007/s00439-020-02225-4. Epub 2020 Sep 27.

Abstract

The population of Israel is ethnically diverse, and individuals from different ethnic groups share specific genetic variations. These variations, which have been passed on from common ancestors, are usually reported in public databases as rare variants. Here, we aimed to identify ethnicity-based benign copy number variants (CNVs) and generate the first Israeli CNV database. We applied a data-mining approach to the results of 10,193 chromosomal microarray tests, of which 2150 tests were from individuals of 13 common ethnic backgrounds (n ≥ 10). We found 165 CNV regions (> 50 kbp) that are unique to specific ethnic groups (uCNVRs). The frequency of more than 19% of these uCNVRs is between 1 and 20% of the common ethnic origin, while their frequency in the overall cohort is between 0.5 and 1.6%. Of these 165 uCNVRs, 98 are reported as variants of unknown significance or as not available in dbVar; we postulate that these uCNVRs should be annotated as either "likely benign" or "benign". The ethnic-specific CNVs extracted in this study will allow geneticists to distinguish between relevant pathogenic genomic aberrations and benign ethnicity-related variations, thus preventing variant misinterpretation that may lead to unnecessary pregnancy terminations.

摘要

以色列人口在种族上具有多样性,不同种族群体的个体拥有特定的遗传变异。这些变异通常被报道为罕见的变体,是从共同祖先那里遗传下来的。在这里,我们旨在确定基于种族的良性拷贝数变异(CNV),并生成第一个以色列 CNV 数据库。我们应用数据挖掘方法分析了 10193 个染色体微阵列测试的结果,其中 2150 个测试来自 13 个常见种族背景的个体(n≥10)。我们发现了 165 个独特于特定种族的 CNV 区域(>50kbp)(uCNVRs)。这些 uCNVR 的频率超过 19%的在共同种族起源中的比例在 1%到 20%之间,而它们在整个队列中的频率在 0.5%到 1.6%之间。在这 165 个 uCNVR 中,有 98 个被报告为意义不明的变体或在 dbVar 中不可用;我们假设这些 uCNVR 应该被注释为“可能良性”或“良性”。本研究中提取的种族特异性 CNVs 将使遗传学家能够区分相关的致病性基因组异常和良性的种族相关变异,从而防止可能导致不必要的妊娠终止的变体误判。

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