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严重胎儿运动不能综合征的遗传学诊断和临床评估。

Genetic diagnosis and clinical evaluation of severe fetal akinesia syndrome.

机构信息

Department of Obstetrics and Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Core Facility Genomics, Medical University of Vienna, Vienna, Austria.

出版信息

Prenat Diagn. 2020 Dec;40(12):1532-1539. doi: 10.1002/pd.5809. Epub 2020 Sep 10.

Abstract

OBJECTIVE

In this retrospective study, we describe the clinical course, ultrasound findings and genetic investigations of fetuses affected by fetal akinesia.

MATERIALS AND METHODS

We enrolled 22 eukaryotic fetuses of 18 families, diagnosed with fetal akinesia between 2008 and 2016 at the Department of Obstetrics and Feto-Maternal Medicine at the Medical University of Vienna. Routine genetic evaluation included karyotyping and chromosomal microarray analysis. Retrospectively, exome sequencing was performed in the index case of 11 families, if stored DNA was available. Confirmation analyses and genetic diagnosis of siblings were performed by using Sanger sequencing.

RESULTS

Whole exome sequencing identified pathogenic variants of CNTN1, RYR1, NEB, GLDN, HRAS and TNNT3 in six cases of 11 families. In three of these families, the variants were confirmed in the respective sibling.

CONCLUSIONS

The present study demonstrates a high diagnostic yield of exome sequencing in fetuses affected by akinesia syndrome, especially if family history is positive. Still, in a large part the underlying genetic cause remained unknown, whereas precise clinical evaluation in combination with exome sequencing shows to be the best tool to find the disease causing variants.

摘要

目的

在这项回顾性研究中,我们描述了胎儿运动不能症胎儿的临床过程、超声表现和基因研究结果。

材料和方法

我们纳入了 2008 年至 2016 年在维也纳医科大学妇产科和胎儿-产妇医学系诊断为胎儿运动不能症的 18 个家系的 22 例活产儿。常规基因评估包括核型分析和染色体微阵列分析。如果有储存的 DNA,我们对 11 个家系的先证者进行了外显子组测序。通过 Sanger 测序对同胞进行确认分析和遗传诊断。

结果

全外显子组测序在 11 个家系的 6 例中发现了 CNTN1、RYR1、NEB、GLDN、HRAS 和 TNNT3 的致病性变异。在其中 3 个家系中,该变异在相应的同胞中得到了证实。

结论

本研究表明,在外显子组测序在运动不能症胎儿中的诊断率较高,尤其是当家族史阳性时。然而,在很大程度上,其潜在的遗传原因仍然未知,而精确的临床评估结合外显子组测序是发现致病变异的最佳工具。

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