Noninvasive Prenatal Diagnosis for Cystic Fibrosis: Implementation, Uptake, Outcome, and Implications

Author:

Chandler Natalie J1,Ahlfors Helena1,Drury Suzanne1,Mellis Rhiannon1,Hill Melissa1,McKay Fiona J1,Collinson Claire1,Hayward Jane1,Jenkins Lucy1,Chitty Lyn S12

Affiliation:

1. NE Thames Regional Genetics Laboratories, Great Ormond Street Hospital, London, UK

2. Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, London, UK

Abstract

Abstract BACKGROUND Noninvasive prenatal diagnosis (NIPD) for monogenic disorders has a high uptake by families. Since 2013, our accredited public health service laboratory has offered NIPD for monogenic disorders, predominantly for de novo or paternally dominantly inherited mutations. Here we describe the extension of this service to include definitive NIPD for a recessive condition, cystic fibrosis (CF). METHODS Definitive NIPD for CF was developed using next-generation sequencing. Validation was performed on 13 cases from 10 families before implementation. All cases referred for CF NIPD were reviewed to determine turnaround times, genotyping results, and pregnancy outcomes. RESULTS Of 38 referrals, 36 received a result with a mean turnaround of 5.75 days (range, 3–11 days). Nine cases were initially inconclusive, with 3 reported unaffected because the low-risk paternal allele was inherited and 4 cases in which the high-risk paternal allele was inherited, receiving conclusive results following repeat testing. One case was inconclusive owing to a paternal recombination around the mutation site, and one case was uninformative because of no heterozygosity. Before 2016, 3 invasive referrals for CF were received annually compared with 38 for NIPD in the 24 months since offering a definitive NIPD service. CONCLUSIONS Timely and accurate NIPD for definitive prenatal diagnosis of CF is possible in a public health service laboratory. The method detects recombinations, and the service is well-received as evidenced by the significant increase in referrals. The bioinformatic approach is gene agnostic and will be used to expand the range of conditions tested for.

Funder

National Health Service

National Institute for Health Research

Department of Health

Action Medical Research

Great Ormond Street Children's Charity

NIHR Great Ormond Street Hospital Biomedical Research Centre

European Union's Horizon 2020

NIHR

Publisher

Oxford University Press (OUP)

Subject

Biochemistry, medical,Clinical Biochemistry

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