Prenatal diagnosis study using array comparative genomic hybridization for genotype-phenotype correlation in 772 fetuses.
CNVs
Karyotype
Prenatal diagnosis
Structural malformations
VUS
aCGH
Journal
Annals of diagnostic pathology
ISSN: 1532-8198
Titre abrégé: Ann Diagn Pathol
Pays: United States
ID NLM: 9800503
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
26
10
2022
accepted:
26
10
2022
pubmed:
8
11
2022
medline:
30
11
2022
entrez:
7
11
2022
Statut:
ppublish
Résumé
The aim was to evaluate the main indications for prenatal diagnosis, the prevalence of abnormal copy number variations (CNVs), correlate them with clinical findings, analyze the prevalence of VUS, report the rare variants found and additionally highlight the clinical importance of microarray-based comparative genomic hybridization (aCGH) in prenatal diagnosis. We retrospectively analyzed a cohort of 772 fetuses with indication for genetic study in two tertiary hospitals, in a 9-years-period, using aCGH. Our results demonstrated 8.3 % (6.4-10.5 %, 95 % CI) detection rate of pathogenic CNVs. Within this group, the main indication was structural malformations (57 %) mainly involving central nervous system, skeletal and cardiac systems. Pathogenic results in cases with multiple malformations were higher than in cases with isolated anatomical system malformations showing statistical significant differences (p < 0.001). The second indication where we found more pathogenic CNVs was increased nuchal translucency (5-6.4 mm). In fact, the rate of pathogenic CNVs did not show significant differences between structural and non-structural malformations (p > 0.001), highlighting the relevance of genetic study by aCGH also in cases with no structural malformations. A total of 217 fetuses with CNVs classified as VUS were identified, mainly involving chromosomes X, 1 and 16. Our findings demonstrate 4.9 % (4.2-5.6 %, 95 % CI) increased in the diagnostic yield using aCGH compared to the use of conventional karyotype alone, confirming that the aCGH can improve the accuracy of prenatal diagnosis. Our survey provides a full genotype-phenotype analysis that can be clinically useful for the classification of variants in the context of prenatal setting, helping to provide a better reproductive genetic counselling.
Identifiants
pubmed: 36343605
pii: S1092-9134(22)00161-7
doi: 10.1016/j.anndiagpath.2022.152059
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
152059Informations de copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors have no conflict of interests to declare. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.