Evaluation of Array Comparative genomic Hybridisation in prenatal diagnosis of fetal anomalies: a multicentre cohort study with cost analysis and assessment of patient, health professional and commissioner preferences for array comparative genomic hybridisation

BackgroundCurrent pathways for testing fetuses at increased risk of a chromosomal anomaly because of an ultrasound anomaly involve karyotyping after rapid aneuploidy exclusion. Chromosomal microarray (CMA) may detect more clinically significant chromosomal imbalances than karyotyping but evidence to guide UK health service providers on whether or not CMA should replace karyotyping is limited.Objectives(1) To compare detection rates of copy number variants (CNVs) and laboratory turnaround times (TATs) by karyotyping and CMA in fetuses with ultrasound anomalies, (2) to calculate test costs and the cost per additional pathogenic CNV detected by CMA relative to karyotyping and (3) to determine what factors influence parents’ and health professionals’ choice and decision-making about CMA.DesignA multicentre experimental research cohort study with an additional cost analysis.SettingA total of 20 fetal medicine units and nine cytogenetic laboratories across England and Wales.ParticipantsWomen with a fetus undergoing quantitative fluorescent polymerase chain reaction (QF-PCR) and karyotyping for clinical indications with (1) one or more structural anomalies identified on ultrasound or (2) an isolated nuchal translucency (NT) of ≥ 3.5 mm.InterventionsKaryotyping and CMA after exclusion of major chromosomal anomalies by QF-PCR. The array design consisted of 8-plex 60,000 60-mer oligonucleotides with a backbone resolution of ≈75 kb.Main outcome measuresRates of abnormal karyotypes and pathogenic CNVs and variants of unknown significance on CMA. Laboratory TATs for karyotyping and CMA. Costs of karyotyping and CMA and cost per additional pathogenic CNV detected by CMA. Parent and health professional attitudes to CMA.ResultsOut of the 1718 probands recruited, 1123 cases with normal QF-PCR and both karyotype and CMA were available for analysis. In the group with structural anomalies (n = 629), CMA detected more CNVs [6.8%, 95% confidence interval (CI) 4.4% to 9.3%] and more pathogenic CNVs (3.5%, 95% CI 1.5% to 5.5%) than karyotyping. In the increased NT group (n = 494), CMA detected more CNVs (4.5%, 95% CI 1.8% to 7.1%) than karyotyping but not more pathogenic CNVs. Compared with karyotyping, median TAT was 3 days [interquartile range (IQR) 0–13 days] longer with CMA but when actual set-up to reporting times were compared, CMA was 5 days (IQR 2–8 days) quicker. Cost calculations of the respective pathways indicated that, per patient, CMA is on average £113 more costly than karyotyping. The incremental cost per extra pathogenic CNV detected by CMA was greater in the increased NT than the structural anomaly group (£9439 vs. £3635). Qualitative evaluation suggested that parents find CMA acceptable, despite the uncertainties it may introduce, and that in the main it is acceptable to health professionals and commissioners.ConclusionsCMA is a robust, acceptable and probably cost-effective method to detect more clinically significant chromosomal imbalances in the anomalous fetus. The results suggest that CMA should replace karyotyping in these care pathways.Future workThe application of CMA (and exome sequencing) on cell-free DNA in maternal plasma.Trial registrationCurrent Controlled Trials ISRCTN01058191.FundingThis project was funded by the Efficacy and Mechanism Evaluation programme, a MRC and NIHR partnership. The funder had no role in the identification, design and conduct of the study and the reporting of the analysis. The funder did recommend the inclusion of the cell-free DNA aspects of the EACH study. Funding was also received from the Great Ormond Street Biomedical Research Centre.

Array comparative genomic hybridisation testing in CHD

Background: CHD is the leading cause of mortality due to birth defects. Array comparative genomic hybridisation (aCGH) detects submicroscopic copy number changes and may improve identification of the genetic basis of CHD. Methods: This is a retrospective analysis of 1252 patients from a regional referral centre who had undergone aCGH. Of the patients, 173 had CHD. A whole-genome custom-designed oligonucleotide array with >44,000 probes was used to detect copy number changes. Results: Of the 1252 patients, 335 (26.76%) had abnormal aCGH results. Of the 173 patients with CHD, 50 (28.9%) had abnormal aCGH results versus 284 (26.3%) of 1079 non-cardiac patients. There were six patients with CHD who had well-described syndromes such as Wolf–Hirschhorn, trisomy 13, DiGeorge, and Williams. Of the patients with CHD, those with left-sided heart disease had the highest proportion (14/31; 45.13%) of abnormal aCGH results, followed by those with conotruncal heart disease (10/29; 34.48%), endocardial cushion defects (13/50; 26%), complex/other heart disease (12/52; 23.08%), and patent ductus arteriosus (1/11; 9.09%). Conclusions: Patients with CHD are at a substantial risk of having microdeletions and microduplications. The incidence of abnormalities on aCGH analysis is higher than identified with karyotype, and identification of copy number changes may help identify the genetic basis of the specific heart defects. However, aCGH may not have a significant diagnostic yield in those with isolated CHD. Further research using larger data sets may help identify candidate genes associated with CHD.