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Diagnostic yield of exome sequencing for prenatal diagnosis of fetal structural anomalies: A systematic review and meta-analysis.
- Source :
-
Prenatal diagnosis [Prenat Diagn] 2022 May; Vol. 42 (6), pp. 662-685. Date of Electronic Publication: 2022 May 07. - Publication Year :
- 2022
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Abstract
- Objectives: We conducted a systematic review and meta-analysis to determine the diagnostic yield of exome sequencing (ES) for prenatal diagnosis of fetal structural anomalies, where karyotype/chromosomal microarray (CMA) is normal.<br />Methods: Following electronic searches of four databases, we included studies with ≥10 structurally abnormal fetuses undergoing ES or whole genome sequencing. The incremental diagnostic yield of ES over CMA/karyotype was calculated and pooled in a meta-analysis. Sub-group analyses investigated effects of case selection and fetal phenotype on diagnostic yield.<br />Results: We identified 72 reports from 66 studies, representing 4350 fetuses. The pooled incremental yield of ES was 31% (95% confidence interval (CI) 26%-36%, p < 0.0001). Diagnostic yield was significantly higher for cases pre-selected for likelihood of monogenic aetiology compared to unselected cases (42% vs. 15%, p < 0.0001). Diagnostic yield differed significantly between phenotypic sub-groups, ranging from 53% (95% CI 42%-63%, p < 0.0001) for isolated skeletal abnormalities, to 2% (95% CI 0%-5%, p = 0.04) for isolated increased nuchal translucency.<br />Conclusion: Prenatal ES provides a diagnosis in an additional 31% of structurally abnormal fetuses when CMA/karyotype is non-diagnostic. The expected diagnostic yield depends on the body system(s) affected and can be optimised by pre-selection of cases following multi-disciplinary review to determine that a monogenic cause is likely.<br /> (© 2022 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1097-0223
- Volume :
- 42
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Prenatal diagnosis
- Publication Type :
- Academic Journal
- Accession number :
- 35170059
- Full Text :
- https://doi.org/10.1002/pd.6115