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Implementation of fetal clinical exome sequencing: Comparing prospective and retrospective cohorts.
- Source :
-
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2022 Feb; Vol. 24 (2), pp. 344-363. Date of Electronic Publication: 2021 Nov 30. - Publication Year :
- 2022
-
Abstract
- Purpose: We compared the diagnostic yield of fetal clinical exome sequencing (fCES) in prospective and retrospective cohorts of pregnancies presenting with anomalies detected using ultrasound. We evaluated factors that led to a higher diagnostic efficiency, such as phenotypic category, clinical characterization, and variant analysis strategy.<br />Methods: fCES was performed for 303 fetuses (183 ongoing and 120 ended pregnancies, in which chromosomal abnormalities had been excluded) using a trio/duo-based approach and a multistep variant analysis strategy.<br />Results: fCES identified the underlying genetic cause in 13% (24/183) of prospective and 29% (35/120) of retrospective cases. In both cohorts, recessive heterozygous compound genotypes were not rare, and trio and simplex variant analysis strategies were complementary to achieve the highest possible diagnostic rate. Limited prenatal phenotypic information led to interpretation challenges. In 2 prospective cases, in-depth analysis allowed expansion of the spectrum of prenatal presentations for genetic syndromes associated with the SLC17A5 and CHAMP1 genes.<br />Conclusion: fCES is diagnostically efficient in fetuses presenting with cerebral, skeletal, urinary, or multiple anomalies. The comparison between the 2 cohorts highlights the importance of providing detailed phenotypic information for better interpretation and prenatal reporting of genetic variants.<br />Competing Interests: Conflict of Interest The authors declare no conflict of interest.<br /> (Copyright © 2021 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1530-0366
- Volume :
- 24
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Genetics in medicine : official journal of the American College of Medical Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 34906519
- Full Text :
- https://doi.org/10.1016/j.gim.2021.09.016