Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
J Cell Mol Med. 2023 Feb;27(4):496-505. doi: 10.1111/jcmm.17662. Epub 2023 Jan 24.
We describe a 3.5-year-old Iranian female child and her affected 10-month-old brother with a maternally inherited derivative chromosome 9 [der(9)]. The postnatally detected rearrangement was finely characterized by aCGH analysis, which revealed a 15.056 Mb deletion of 9p22.3-p24.3p22.3 encompassing 14 OMIM morbid genes such as DOCK8, KANK1, DMRT1 and SMARCA2, and a gain of 3.309 Mb on 18p11.31-p11.32 encompassing USP14, THOC1, COLEC12, SMCHD1 and LPIN2. We aligned the genes affected by detected CNVs to clinical and functional phenotypic features using PhenogramViz. In this regard, the patient's phenotype and CNVs data were entered into PhenogramViz. For the 9p deletion CNV, 53 affected genes were identified and 17 of them were matched to 24 HPO terms describing the patient's phenotypes. Also, for CNV of 18p duplication, 22 affected genes were identified and six of them were matched to 13 phenotypes. Moreover, we used DECIPHER for in-depth characterization of involved genes in detected CNVs and also comparison of patient phenotypes with 9p and 18p genomic imbalances. Based on our filtration strategy, in the 9p22.3-p24.3 region, approximately 80 pathogenic/likely pathogenic/uncertain overlapping CNVs were in DECIPHER. The size of these CNVs ranged from 12.01 kb to 18.45 Mb and 52 CNVs were smaller than 1 Mb in size affecting 10 OMIM morbid genes. The 18p11.31-p11.32 region overlapped 19 CNVs in the DECIPHER database with the size ranging from 23.42 kb to 1.82 Mb. These CNVs affect eight haploinsufficient genes.
我们描述了一名 3.5 岁的伊朗女性儿童及其受影响的 10 个月大的弟弟,他们携带的是一条母系遗传的衍生染色体 9 [der(9)]。通过 aCGH 分析对出生后检测到的重排进行了精细特征描述,结果显示 9p22.3-p24.3p22.3 缺失 15.056Mb,包含 14 个 OMIM 致病基因,如 DOCK8、KANK1、DMRT1 和 SMARCA2,以及 18p11.31-p11.32 获得 3.309Mb,包含 USP14、THOC1、COLEC12、SMCHD1 和 LPIN2。我们使用 PhenogramViz 将受检测 CNV 影响的基因与临床和功能表型特征进行了对齐。在这方面,将患者的表型和 CNV 数据输入 PhenogramViz。对于 9p 缺失 CNV,鉴定出 53 个受影响的基因,其中 17 个与描述患者表型的 24 个 HPO 术语相匹配。此外,对于 18p 重复的 CNV,鉴定出 22 个受影响的基因,其中 6 个与 13 种表型相匹配。此外,我们使用 DECIPHER 对检测到的 CNV 中涉及的基因进行了深入表征,并比较了患者 9p 和 18p 基因组失衡的表型。根据我们的过滤策略,在 9p22.3-p24.3 区域,约有 80 个致病性/可能致病性/不确定重叠的 CNV 在 DECIPHER 中。这些 CNV 的大小从 12.01kb 到 18.45Mb 不等,52 个 CNV 小于 1Mb,影响 10 个 OMIM 致病基因。在 18p11.31-p11.32 区域,在 DECIPHER 数据库中重叠了 19 个 CNV,大小从 23.42kb 到 1.82Mb 不等。这些 CNV 影响八个半合子不足的基因。