Min Chen1, Jingsi Chen2, Chunli Wang3, Fei Chen2, Yinong Xie2, Yufan Li2, Nan Li2, Jing Wang3, Victor Wei Zhang4, Dunjin Chen5. 1. Department of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, 510150, China; The Medical Centre for Critical Pregnant Women in Guangzhou, Guangzhou, 510150, China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, 510150, China; Key Laboratory for Reproduction and Genetics of Guangdong Higher Education Institutes. Electronic address: edchen99@gmail.com. 2. Department of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, 510150, China; The Medical Centre for Critical Pregnant Women in Guangzhou, Guangzhou, 510150, China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, 510150, China; Key Laboratory for Reproduction and Genetics of Guangdong Higher Education Institutes. 3. AmCare Genomics Laboratory, Guangzhou, 510300, Guangdong, China. 4. AmCare Genomics Laboratory, Guangzhou, 510300, Guangdong, China; Baylor College of Medicine, Department of Human and Molecular Genetics, Houston, USA. 5. Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, 510150, China; The Medical Centre for Critical Pregnant Women in Guangzhou, Guangzhou, 510150, China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, 510150, China; Key Laboratory for Reproduction and Genetics of Guangdong Higher Education Institutes.
Abstract
OBJECTIVE: To evaluate the clinical application of medical exome sequencing (MES) for prenatal diagnosis of genetic diseases related to fetal structural anomalies detected by prenatal ultrasound examination. STUDY DESIGN: A total of 105 fetuses with structural anomalies were negative results in both Quantitative fluorescent polymerase chain reaction (QF-PCR) and chromosomal microarray analysis (CMA). Then trio-based MES was further used for identifying the potential monogenic diseases in these fetuses. Coding regions and known pathogenic non-coding regions of over 4000 disease-related genes were interrogated, and variants were classified following the guidelines of American College of Medical Genetics (ACMG). RESULTS: The 105 fetuses with structural anomalies were categorized into 12 phenotypic groups. A definitive diagnosis was achieved in 19% (20/105) of the cases, with the identification of 21 pathogenic or likely pathogenic variants in 14 genes. The proportion of patients with diagnostic genetic variants varied between the phenotypic groups, with the highest diagnostic yield in the cardiovascular abnormalities (44%), followed by the skeletal and limb abnormalities (38%) and brain structural abnormalities (25%). In addition, 12 fetuses were detected variants of unknown significance (VOUS), while the relevance of phenotypes and variants would further evaluated. CONCLUSION: MES can identify the underlying genetic cause in fetal structural anomalies. It can further assist the management of pregnancy and genetic counseling. It was demonstrated the importance of translating prenatal MES into clinical practice.
OBJECTIVE: To evaluate the clinical application of medical exome sequencing (MES) for prenatal diagnosis of genetic diseases related to fetal structural anomalies detected by prenatal ultrasound examination. STUDY DESIGN: A total of 105 fetuses with structural anomalies were negative results in both Quantitative fluorescent polymerase chain reaction (QF-PCR) and chromosomal microarray analysis (CMA). Then trio-based MES was further used for identifying the potential monogenic diseases in these fetuses. Coding regions and known pathogenic non-coding regions of over 4000 disease-related genes were interrogated, and variants were classified following the guidelines of American College of Medical Genetics (ACMG). RESULTS: The 105 fetuses with structural anomalies were categorized into 12 phenotypic groups. A definitive diagnosis was achieved in 19% (20/105) of the cases, with the identification of 21 pathogenic or likely pathogenic variants in 14 genes. The proportion of patients with diagnostic genetic variants varied between the phenotypic groups, with the highest diagnostic yield in the cardiovascular abnormalities (44%), followed by the skeletal and limb abnormalities (38%) and brain structural abnormalities (25%). In addition, 12 fetuses were detected variants of unknown significance (VOUS), while the relevance of phenotypes and variants would further evaluated. CONCLUSION:MES can identify the underlying genetic cause in fetal structural anomalies. It can further assist the management of pregnancy and genetic counseling. It was demonstrated the importance of translating prenatal MES into clinical practice.
Authors: R Mellis; R Y Eberhardt; S J Hamilton; D J McMullan; M D Kilby; E R Maher; M E Hurles; J L Giordano; V Aggarwal; D B Goldstein; R J Wapner; L S Chitty Journal: BJOG Date: 2021-09-14 Impact factor: 7.331