Diagnostic yield of exome sequencing for prenatal diagnosis of fetal structural anomalies: A systematic review and meta-analysis

被引:124
|
作者
Mellis, Rhiannon [1 ,2 ]
Oprych, Kathryn [3 ]
Scotchman, Elizabeth [1 ]
Hill, Melissa [1 ,2 ]
Chitty, Lyn S. [1 ,2 ]
机构
[1] Great Ormond St Hosp Children NHS Fdn Trust, North Thames Genom Lab Hub, Level 5,Barclay House,37 Queen Sq, London WC1N 3BH, England
[2] UCL Great Ormond St Inst Child Hlth, Genet & Genom Med, London, England
[3] South West Thames Reg Genet Serv, London, England
关键词
ULTRASOUND ABNORMALITIES; CHROMOSOMAL MICROARRAY; CLINICAL UTILITY; GENETIC CAUSES; FETUSES; IMPROVES; GENOME;
D O I
10.1002/pd.6115
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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. 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. 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. 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.
引用
收藏
页码:662 / 685
页数:24
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