Non-targeted whole genome 250K SNP array analysis as replacement for karyotyping in fetuses with structural ultrasound anomalies: evaluation of a one-year experience.
SourcePrenatal Diagnosis, 32, 4, (2012), pp. 362-70
01 april 2012
Article / Letter to editor
Display more detailsDisplay less details
SubjectIGMD 3: Genomic disorders and inherited multi-system disorders; NCEBP 14: Cardiovascular diseases; NCMLS 6: Genetics and epigenetic pathways of disease IGMD 3: Genomic disorders and inherited multi-system disorders
OBJECTIVE: We evaluated both clinical and laboratory aspects of our new strategy offering quantitative fluorescence (QF)-PCR followed by non-targeted whole genome 250K single-nucleotide polymorphism array analysis instead of routine karyotyping for prenatal diagnosis of fetuses with structural anomalies. METHODS: Upon the detection of structural fetal anomalies, parents were offered a choice between QF-PCR and 250K single-nucleotide polymorphism array analysis (QF/array) or QF-PCR and routine karyotyping (QF/karyo). RESULTS: Two hundred twenty fetal samples were included. In 153/220 cases (70%), QF/array analysis was requested. In 35/153 (23%), an abnormal QF-PCR result was found. The remaining samples were analyzed by array, which revealed clinically relevant aberrations, including two known microdeletions, in 5/118 cases. Inherited copy number variants were detected in 11/118 fetuses, copy number variants with uncertain clinical relevance in 3/118 and homozygous stretches in 2/118. In 67/220 (30%) fetuses, QF/karyo was requested: 23/67 (34%) were abnormal with QF-PCR, and in 3/67, an abnormal karyotype was found. CONCLUSION: Even though QF/array does not reveal a high percentage of submicroscopic aberrations in fetuses with unselected structural anomalies, it is preferred over QF/karyo, as it provides a whole genome scan at high resolution, without additional tests needed and with a low chance on findings not related to the ultrasound anomalies.
This item appears in the following Collection(s)
- Academic publications 
- Faculty of Medical Sciences 
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.