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[一名7q部分三体综合征患儿的表型和基因分析]

[Phenotypic and genetic analysis of a child with partial trisomy 7q].

作者信息

Wang Chaojie, Li Dongxiao, Zhang Yaodong, Kong Jinghui, Li Rui, Gao Chao, Shang Qing, Zhang Huichun

机构信息

Henan Provincial Key Laboratory of Children's Genetic and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, Henan 450018, China.

出版信息

Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2023 May 10;40(5):604-608. doi: 10.3760/cma.j.cn511374-20220415-00252.

Abstract

OBJECTIVE

To define the nature and origin of a chromosomal aberration in a child with unexplained growth and development retardation, and to analyze its genotype-phenotype correlation.

METHODS

A child who had presented at the Affiliated Children's Hospital of Zhengzhou University on July 9, 2019 was selected as the study subject. Chromosomal karyotypes of the child and her parents were determined with routine G-banding analysis. Their genomic DNA was also analyzed with single nucleotide polymorphism array (SNP array).

RESULTS

Karyotyping analysis combined with SNP array suggested that the chromosomal karyotype of the child was 46,XX,dup(7)(q34q36.3), whilst no karyotypic abnormality was found in either of her parents. SNP array has identified a de novo 20.6 Mb duplication at 7q34q36.3 [arr[hg19] 7q34q36.3(138335828_158923941)×3] in the child.

CONCLUSION

The partial trisomy 7q carried by the child was rated as a de novo pathogenic variant. SNP array can clarify the nature and origin of chromosomal aberrations. Analysis of the correlation between genotype and phenotype can facilitate the clinical diagnosis and genetic counseling.

摘要

目的

明确一名不明原因生长发育迟缓儿童染色体畸变的性质和来源,并分析其基因型与表型的相关性。

方法

选取2019年7月9日在郑州大学附属儿童医院就诊的一名儿童作为研究对象。采用常规G显带分析法确定该儿童及其父母的染色体核型。同时,运用单核苷酸多态性阵列(SNP阵列)对他们的基因组DNA进行分析。

结果

核型分析联合SNP阵列显示,该儿童的染色体核型为46,XX,dup(7)(q34q36.3),而其父母双方均未发现核型异常。SNP阵列在该儿童7q34q36.3区域检测到一个新发的20.6 Mb重复[arr[hg19] 7q34q36.3(138335828_158923941)×3]。

结论

该儿童携带的7q部分三体被判定为新发致病变异。SNP阵列能够明确染色体畸变的性质和来源。分析基因型与表型的相关性有助于临床诊断和遗传咨询。

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