Non-invasive fetal genotyping for maternal alleles with droplet digital PCR: A comparative study of analytical approaches.


Journal

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

Informations de publication

Date de publication:
04 2023
Historique:
revised: 22 12 2022
received: 02 11 2022
accepted: 31 01 2023
medline: 18 4 2023
pubmed: 11 2 2023
entrez: 10 2 2023
Statut: ppublish

Résumé

To develop a flexible droplet digital PCR (ddPCR) workflow to perform non-invasive prenatal diagnosis via relative mutation dosage (RMD) for maternal pathogenic variants with a range of inheritance patterns, and to compare the accuracy of multiple analytical approaches. Cell free DNA (cfDNA) was tested from 124 archived maternal plasma samples: 88 cases for sickle cell disease and 36 for rare Mendelian conditions. Three analytical methods were compared: sequential probability ratio testing (SPRT), Bayesian and z-score analyses. The SPRT, Bayesian and z-score analyses performed similarly well with correct prediction rates of 96%, 97% and 98%, respectively. However, there were high rates of inconclusive results for each cohort, particularly for z-score analysis which was 31% overall. Two samples were incorrectly classified by all three analytical methods; a false negative result predicted for a fetus affected with sickle cell disease and a false positive result predicting the presence of an X-linked IDS variant in an unaffected fetus. ddPCR can be applied to RMD for diverse conditions and inheritance patterns, but all methods carry a small risk of erroneous results. Further evaluation is required both to reduce the rate of inconclusive results and explore discordant results in more detail.

Identifiants

pubmed: 36760169
doi: 10.1002/pd.6333
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

477-488

Subventions

Organisme : NIHR Biomedical Research Centre at Great Ormond Street Hospital
Organisme : National Institute for Health and Care Research

Informations de copyright

© 2023 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.

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Auteurs

Joe Shaw (J)

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

Elizabeth Scotchman (E)

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

Ben Paternoster (B)

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

Maureen Ramos (M)

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

Sarah Nesbitt (S)

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

Sophie Sheppard (S)

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

Tristan Snowsill (T)

Health Economics Group, University of Exeter, Exeter, UK.

Lyn S Chitty (LS)

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

Natalie Chandler (N)

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

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