Whole-exome sequencing in the evaluation of fetal structural anomalies: a prospective cohort study.


Journal

Lancet (London, England)
ISSN: 1474-547X
Titre abrégé: Lancet
Pays: England
ID NLM: 2985213R

Informations de publication

Date de publication:
23 02 2019
Historique:
received: 16 02 2018
revised: 14 08 2018
accepted: 28 08 2018
pubmed: 5 2 2019
medline: 19 4 2019
entrez: 5 2 2019
Statut: ppublish

Résumé

Identification of chromosomal aneuploidies and copy number variants that are associated with fetal structural anomalies has substantial value. Although whole-exome sequencing (WES) has been applied to case series of a few selected prenatal cases, its value in routine clinical settings has not been prospectively assessed in a large unselected cohort of fetuses with structural anomalies. We therefore aimed to determine the incremental diagnostic yield (ie, the added value) of WES following uninformative results of standard investigations with karyotype testing and chromosomal microarray in an unselected cohort of sequential pregnancies showing fetal structural anomalies. In this prospective cohort study, the parents of fetuses who were found to have a structural anomaly in a prenatal ultrasound were screened for possible participation in the study. These participants were predominantly identified in or were referred to the Columbia University Carmen and John Thain Center for Prenatal Pediatrics (New York, NY, USA). Fetuses with confirmed aneuploidy or a causal pathogenic copy number variant were excluded from WES analyses. By use of WES of the fetuses and parents (parent-fetus trios), we identified genetic variants that indicated an underlying cause (diagnostic genetic variants) and genetic variants that met the criteria of bioinformatic signatures that had previously been described to be significantly enriched among diagnostic genetic variants. Between April 24, 2015, and April 19, 2017, 517 sequentially identified pregnant women found to have fetuses with a structural anomaly were screened for their eligibility for inclusion in our study. 71 (14%) couples declined testing, 87 (17%) trios were missing at least one DNA sample (from either parent or the fetus), 69 (13%) trios had a clinically relevant abnormal karyotype or chromosomal microarray finding, 51 (10%) couples did not consent to WES or withdrew consent, and five (1%) samples were not of good enough quality for analysis. DNA samples from 234 (45%) eligible trios were therefore used for analysis of the primary outcome. By use of trio sequence data, we identified diagnostic genetic variants in 24 (10%) families. Mutations with bioinformatic signatures that were indicative of pathogenicity but with insufficient evidence to be considered diagnostic were also evaluated; 46 (20%) of the 234 fetuses assessed were found to have such signatures. Our analysis of WES data in a prospective cohort of unselected fetuses with structural anomalies shows the value added by WES following the use of routine genetic tests. Our findings suggest that, in cases of fetal anomalies in which assessment with karyotype testing and chromosomal microarray fail to determine the underlying cause of a structural anomaly, WES can add clinically relevant information that could assist current management of a pregnancy. The unique challenges of WES-based prenatal diagnostics require analysis by a multidisciplinary team of perinatal practitioners and laboratory specialists. Institute for Genomic Medicine (Columbia University Irving Medical Center).

Sections du résumé

BACKGROUND
Identification of chromosomal aneuploidies and copy number variants that are associated with fetal structural anomalies has substantial value. Although whole-exome sequencing (WES) has been applied to case series of a few selected prenatal cases, its value in routine clinical settings has not been prospectively assessed in a large unselected cohort of fetuses with structural anomalies. We therefore aimed to determine the incremental diagnostic yield (ie, the added value) of WES following uninformative results of standard investigations with karyotype testing and chromosomal microarray in an unselected cohort of sequential pregnancies showing fetal structural anomalies.
METHODS
In this prospective cohort study, the parents of fetuses who were found to have a structural anomaly in a prenatal ultrasound were screened for possible participation in the study. These participants were predominantly identified in or were referred to the Columbia University Carmen and John Thain Center for Prenatal Pediatrics (New York, NY, USA). Fetuses with confirmed aneuploidy or a causal pathogenic copy number variant were excluded from WES analyses. By use of WES of the fetuses and parents (parent-fetus trios), we identified genetic variants that indicated an underlying cause (diagnostic genetic variants) and genetic variants that met the criteria of bioinformatic signatures that had previously been described to be significantly enriched among diagnostic genetic variants.
FINDINGS
Between April 24, 2015, and April 19, 2017, 517 sequentially identified pregnant women found to have fetuses with a structural anomaly were screened for their eligibility for inclusion in our study. 71 (14%) couples declined testing, 87 (17%) trios were missing at least one DNA sample (from either parent or the fetus), 69 (13%) trios had a clinically relevant abnormal karyotype or chromosomal microarray finding, 51 (10%) couples did not consent to WES or withdrew consent, and five (1%) samples were not of good enough quality for analysis. DNA samples from 234 (45%) eligible trios were therefore used for analysis of the primary outcome. By use of trio sequence data, we identified diagnostic genetic variants in 24 (10%) families. Mutations with bioinformatic signatures that were indicative of pathogenicity but with insufficient evidence to be considered diagnostic were also evaluated; 46 (20%) of the 234 fetuses assessed were found to have such signatures.
INTERPRETATION
Our analysis of WES data in a prospective cohort of unselected fetuses with structural anomalies shows the value added by WES following the use of routine genetic tests. Our findings suggest that, in cases of fetal anomalies in which assessment with karyotype testing and chromosomal microarray fail to determine the underlying cause of a structural anomaly, WES can add clinically relevant information that could assist current management of a pregnancy. The unique challenges of WES-based prenatal diagnostics require analysis by a multidisciplinary team of perinatal practitioners and laboratory specialists.
FUNDING
Institute for Genomic Medicine (Columbia University Irving Medical Center).

Identifiants

pubmed: 30712878
pii: S0140-6736(18)32042-7
doi: 10.1016/S0140-6736(18)32042-7
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

758-767

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Slavé Petrovski (S)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; AstraZeneca Centre for Genomics Research, Precision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, UK.

Vimla Aggarwal (V)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; Laboratory of Personalized Genomic Medicine, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.

Jessica L Giordano (JL)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA.

Melissa Stosic (M)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA.

Karen Wou (K)

Division of Clinical Genetics, Department of Pediatrics, Columbia University Medical Center, New York, NY, USA.

Louise Bier (L)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Erica Spiegel (E)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA.

Kelly Brennan (K)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA.

Nicholas Stong (N)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Vaidehi Jobanputra (V)

Laboratory of Personalized Genomic Medicine, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.

Zhong Ren (Z)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Xiaolin Zhu (X)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Caroline Mebane (C)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Odelia Nahum (O)

Laboratory of Personalized Genomic Medicine, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.

Quanli Wang (Q)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Sitharthan Kamalakaran (S)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Colin Malone (C)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.

Kwame Anyane-Yeboa (K)

Division of Clinical Genetics, Department of Pediatrics, Columbia University Medical Center, New York, NY, USA.

Russell Miller (R)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA.

Brynn Levy (B)

Laboratory of Personalized Genomic Medicine, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.

David B Goldstein (DB)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; Department of Genetics and Development, Columbia University Medical Center, New York, NY, USA.

Ronald J Wapner (RJ)

Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA. Electronic address: rw2191@cumc.columbia.edu.

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