Lessons learnt from prenatal exome sequencing.


Journal

Prenatal diagnosis
ISSN: 1097-0223
Titre abrégé: Prenat Diagn
Pays: England
ID NLM: 8106540

Informations de publication

Date de publication:
06 2022
Historique:
revised: 21 04 2022
received: 15 03 2022
accepted: 01 05 2022
pubmed: 5 5 2022
medline: 22 6 2022
entrez: 4 5 2022
Statut: ppublish

Résumé

Prenatal exome sequencing (ES) for monogenic disorders in fetuses with structural anomalies increases diagnostic yield. In England there is a national trio ES service delivered from two laboratories. To minimise incidental findings and reduce the number of variants investigated, analysis uses a panel of 1205 genes where pathogenic variants may cause abnormalities presenting prenatally. Here we review our laboratory's early experience developing and delivering ES to identify challenges in interpretation and reporting and inform service development. A retrospective laboratory records review from 01.04.2020 to 31.05.2021. Twenty-four of 116 completed cases were identified as challenging including 13 resulting in difficulties in analysis and reporting, nine where trio inheritance filtering would have missed the diagnosis, and two with no prenatal diagnosis; one due to inadequate pipeline sensitivity, the other because the gene was not on the panel. Two cases with copy number variants identified were not detectable by microarray. Variant interpretation requires close communication between referring clinicians, with occasional additional examination of the fetus or parents and communication of evolving phenotypes. Inheritance filtering misses ∼5% of diagnoses. Panel analysis reduces but does not exclude incidental findings. Regular review of published literature is required to identify new reports that may aid classification.

Sections du résumé

BACKGROUND
Prenatal exome sequencing (ES) for monogenic disorders in fetuses with structural anomalies increases diagnostic yield. In England there is a national trio ES service delivered from two laboratories. To minimise incidental findings and reduce the number of variants investigated, analysis uses a panel of 1205 genes where pathogenic variants may cause abnormalities presenting prenatally. Here we review our laboratory's early experience developing and delivering ES to identify challenges in interpretation and reporting and inform service development.
METHODS
A retrospective laboratory records review from 01.04.2020 to 31.05.2021.
RESULTS
Twenty-four of 116 completed cases were identified as challenging including 13 resulting in difficulties in analysis and reporting, nine where trio inheritance filtering would have missed the diagnosis, and two with no prenatal diagnosis; one due to inadequate pipeline sensitivity, the other because the gene was not on the panel. Two cases with copy number variants identified were not detectable by microarray.
CONCLUSIONS
Variant interpretation requires close communication between referring clinicians, with occasional additional examination of the fetus or parents and communication of evolving phenotypes. Inheritance filtering misses ∼5% of diagnoses. Panel analysis reduces but does not exclude incidental findings. Regular review of published literature is required to identify new reports that may aid classification.

Identifiants

pubmed: 35506549
doi: 10.1002/pd.6165
pmc: PMC9325487
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

831-844

Informations de copyright

© 2022 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.

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Auteurs

Natalie J Chandler (NJ)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Elizabeth Scotchman (E)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Rhiannon Mellis (R)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, London, UK.

Vijaya Ramachandran (V)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Rowenna Roberts (R)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Lyn S Chitty (LS)

North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, London, UK.

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