Literature DB >> 30549343

Added value of chromosomal microarray analysis over conventional karyotyping in stillbirth work-up: systematic review and meta-analysis.

R J Martinez-Portilla1,2,3, M Pauta1,3, A Hawkins-Villarreal1,3, M Rial-Crestelo1,3, F Paz Y Miño1,3, I Madrigal1,3, F Figueras1,3,4, A Borrell1,3.   

Abstract

OBJECTIVE: To assess the added value of chromosomal microarray analysis (CMA) over conventional karyotyping to assess the genetic causes in stillbirth.
METHODS: To identify relevant studies, published in English or Spanish and without publication time restrictions, we performed a systematic search of PubMed, SCOPUS and ISI Web of Science databases, The Cochrane Library and the PROSPERO register of systematic reviews, for case series of fetal loss ≥ 20 weeks of gestation, with normal or suspected normal karyotype, undergoing CMA and with at least five subjects analyzed. To investigate quality, two reviewers evaluated independently the risk of bias using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. For the meta-analysis, the incremental yield of CMA over karyotyping was assessed by single-proportion analysis using a random-effects model (weighting by inverse variance). We assessed heterogeneity between studies and performed a sensitivity analysis and a subgroup analysis of structurally abnormal (malformed or growth-restricted) and normal fetuses.
RESULTS: Included in the meta-analysis were seven studies involving 903 stillborn fetuses which had normal karyotype. The test success rate achieved by conventional cytogenetic analysis was 75%, while that for CMA was 90%. The incremental yield of CMA over conventional karyotyping based on the random-effects model was 4% (95% CI, 3-5%) for pathogenic copy-number variants (pCNVs) and 8% (95% CI, 4-17%) for variants of unknown significance. Subgroup analysis showed a 6% (95% CI, 4-10%) incremental yield of CMA for pCNVs in structurally abnormal fetuses and 3% (95% CI, 1-5%) incremental yield for those in structurally normal fetuses. The pCNV found most commonly was del22q11.21.
CONCLUSIONS: CMA, incorporated into the stillbirth work-up, improves both the test success rate and the detection of genetic anomalies compared with conventional karyotyping. To achieve a genetic diagnosis in stillbirth is particularly relevant for the purpose of counseling regarding future pregnancies.
Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CMA; G-banding karyotype; microarray; qfPCR; single-proportion meta-analysis; stillbirth

Mesh:

Year:  2019        PMID: 30549343     DOI: 10.1002/uog.20198

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  4 in total

1.  Chromosomal Copy Number Variation Analysis in Pregnancy Products from Recurrent and Sporadic Miscarriage Using Next-Generation Sequencing.

Authors:  Xia Zhang; Heming Wu; Zhonghang Gu; Zhikang Yu; Liubing Lan; Qingyan Huang
Journal:  Reprod Sci       Date:  2022-05-16       Impact factor: 2.924

2.  Cardio-pathogenic variants in unexplained intrauterine fetal death: a retrospective pilot study.

Authors:  Dana A Muin; Martina Kollmann; Jasmin Blatterer; Gregor Hoermann; Peter W Husslein; Ingrid Lafer; Erwin Petek; Thomas Schwarzbraun
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

3.  Case Report: Novel compound heterozygous variants in CHRNA1 gene leading to lethal multiple pterygium syndrome: A case report.

Authors:  Jianlong Zhuang; Junyu Wang; Qi Luo; Shuhong Zeng; Yu'e Chen; Yuying Jiang; Xinying Chen; Yuanbai Wang; Yingjun Xie; Gaoxiong Wang; Chunnuan Chen
Journal:  Front Genet       Date:  2022-08-26       Impact factor: 4.772

4.  Follow-up in Patients With Non-invasive Prenatal Screening Failures: A Reflection on the Choice of Further Prenatal Diagnosis.

Authors:  Sha Liu; Hongqian Liu; Jianlong Liu; Ting Bai; Xiaosha Jing; Tianyu Xia; Cechuan Deng; Yunyun Liu; Jing Cheng; Xiang Wei; Lingling Xing; Yuan Luo; Quanfang Zhou; Qian Zhu
Journal:  Front Genet       Date:  2021-05-19       Impact factor: 4.599

  4 in total

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