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
相关论文
共 50 条
  • [31] Insights into neurosonographic indicators for prenatal diagnosis of fetal neurological anomalies and cortical development: A systematic review of the literature
    Vargas-Rodriguez, Carmen
    Chimenea, Angel
    Antinolo, Guillermo
    Garcia-Diaz, Lutgardo
    EARLY HUMAN DEVELOPMENT, 2024, 197
  • [32] COngenital heart disease and the Diagnostic yield with Exome sequencing (CODE) study: prospective cohort study and systematic review
    Mone, F.
    Eberhardt, R. Y.
    Morris, R. K.
    Hurles, M. E.
    McMullan, D. J.
    Maher, E. R.
    Lord, J.
    Chitty, L. S.
    Giordano, J. L.
    Wapner, R. J.
    Kilby, M. D.
    ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2021, 57 (01) : 43 - 51
  • [33] Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound
    Carss, Keren J.
    Hillman, Sarah C.
    Parthiban, Vijaya
    McMullan, Dominic J.
    Maher, Eamonn R.
    Kilby, Mark D.
    Hurles, Matthew E.
    HUMAN MOLECULAR GENETICS, 2014, 23 (12) : 3269 - 3277
  • [34] Use of prenatal chromosomal microarray: prospective cohort study and systematic review and meta-analysis
    Hillman, S. C.
    McMullan, D. J.
    Hall, G.
    Togneri, F. S.
    James, N.
    Maher, E. J.
    Meller, C. H.
    Williams, D.
    Wapner, R. J.
    Maher, E. R.
    Kilby, M. D.
    ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2013, 41 (06) : 610 - 620
  • [35] Fetal genetic factors in pregnancy loss: Insights from a meta-analysis and effectiveness of whole exome sequencing
    Hadjipanteli, Andrea
    Theodosiou, Athina
    Papaevripidou, Ioannis
    Alexandrou, Angelos
    Salameh, Nicole
    Evangelidou, Paola
    Tomazou, Marios
    Mavrides, Andreas
    Fasouliotis, Sozos
    Anastasiou, George
    Stavroulis, Andreas
    Agathokleous, Niki
    Agathokleous, Maria
    Tsangarides, Stelios
    Kallikas, Ioannis
    Kakoullis, Kyriakos
    Frakala, Sofia
    Oxinou, Christina
    Marnerides, Andreas
    Athanasiou, Emilia
    Ourani, Sofia
    Anastasiadou, Violetta C.
    Tanteles, George
    Kousoulidou, Ludmila
    Sismani, Carolina
    PLOS ONE, 2025, 20 (02):
  • [36] Prenatal genetic diagnosis associated with fetal ventricular septal defect: an assessment based on chromosomal microarray analysis and exome sequencing
    Wang, You
    Li, Ru
    Fu, Fang
    Huang, Ruibin
    Li, Dongzhi
    Liao, Can
    FRONTIERS IN GENETICS, 2023, 14
  • [37] Diagnostic Yield and Economic Implications of Whole-Exome Sequencing for ASD Diagnosis in Israel
    Tal-Ben Ishay, Rotem
    Shil, Apurba
    Solomon, Shirley
    Sadigurschi, Noa
    Abu-Kaf, Hadeel
    Meiri, Gal
    Flusser, Hagit
    Michaelovski, Analya
    Dinstein, Ilan
    Golan, Hava
    Davidovitch, Nadav
    Menashe, Idan
    GENES, 2022, 13 (01)
  • [38] RASopathies are the most common set of monogenic syndromes identified by exome sequencing for nonimmune hydrops fetalis: A systematic review and meta-analysis
    Makhamreh, Mona M.
    Shivashankar, Kavya
    Araji, Sarah
    Critchlow, Elizabeth
    O'Brien, Barbara M.
    Wodoslawsky, Sascha
    Berger, Seth I.
    Al-Kouatly, Huda B.
    AMERICAN JOURNAL OF MEDICAL GENETICS PART A, 2024, 194 (05)
  • [39] Whole Genome Sequencing in the Evaluation of Fetal Structural Anomalies: A Parallel Test with Chromosomal Microarray Plus Whole Exome Sequencing
    Zhou, Jia
    Yang, Ziying
    Sun, Jun
    Liu, Lipei
    Zhou, Xinyao
    Liu, Fengxia
    Xing, Ya
    Cui, Shuge
    Xiong, Shiyi
    Liu, Xiaoyu
    Yang, Yingjun
    Wei, Xiuxiu
    Zou, Gang
    Wang, Zhonghua
    Wei, Xing
    Wang, Yaoshen
    Zhang, Yun
    Yan, Saiying
    Wu, Fengyu
    Zeng, Fanwei
    Wang, Jian
    Duan, Tao
    Peng, Zhiyu
    Sun, Luming
    GENES, 2021, 12 (03) : 1 - 14
  • [40] From diagnostic yield to clinical impact: a pilot study on the implementation of prenatal exome sequencing in routine care
    de Koning, Maayke A.
    Haak, Monique C.
    van Scheltema, Phebe N. Adama
    Peeters-Scholte, Cacha M. P. C. D.
    Koopmann, Tamara T.
    Nibbeling, Esther A. R.
    Aten, Emmelien
    den Hollander, Nicolette S.
    Ruivenkamp, Claudia A. L.
    Hoffer, Mariette J. V.
    Santen, Gijs W. E.
    GENETICS IN MEDICINE, 2019, 21 (10) : 2303 - 2310