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Whole-genome array CGH evaluation for replacing prenatal karyotyping in Hong Kong. | LitMetric

Whole-genome array CGH evaluation for replacing prenatal karyotyping in Hong Kong.

PLoS One

Department of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.

Published: November 2014

AI Article Synopsis

  • The study assessed the use of whole-genome array comparative genomic hybridization (aCGH) as a more effective method for prenatal diagnosis in Hong Kong, comparing it with traditional cytogenetics.
  • aCGH revealed clinically significant copy number variants (CNVs) in 20% of samples and identified additional abnormalities in cases where conventional methods showed normal results.
  • The researchers concluded that aCGH has a higher resolution for detecting genetic abnormalities than traditional methods and recommend it as the primary testing method for prenatal diagnoses.

Article Abstract

Objective: To evaluate the effectiveness of whole-genome array comparative genomic hybridization (aCGH) in prenatal diagnosis in Hong Kong.

Methods: Array CGH was performed on 220 samples recruited prospectively as the first-tier test study. In addition 150 prenatal samples with abnormal fetal ultrasound findings found to have normal karyotypes were analyzed as a 'further-test' study using NimbleGen CGX-135K oligonucleotide arrays.

Results: Array CGH findings were concordant with conventional cytogenetic results with the exception of one case of triploidy. It was found in the first-tier test study that aCGH detected 20% (44/220) clinically significant copy number variants (CNV), of which 21 were common aneuploidies and 23 had other chromosomal imbalances. There were 3.2% (7/220) samples with CNVs detected by aCGH but not by conventional cytogenetics. In the 'further-test' study, the additional diagnostic yield of detecting chromosome imbalance was 6% (9/150). The overall detection for CNVs of unclear clinical significance was 2.7% (10/370) with 0.9% found to be de novo. Eleven loci of common CNVs were found in the local population.

Conclusion: Whole-genome aCGH offered a higher resolution diagnostic capacity than conventional karyotyping for prenatal diagnosis either as a first-tier test or as a 'further-test' for pregnancies with fetal ultrasound anomalies. We propose replacing conventional cytogenetics with aCGH for all pregnancies undergoing invasive diagnostic procedures after excluding common aneuploidies and triploidies by quantitative fluorescent PCR. Conventional cytogenetics can be reserved for visualization of clinically significant CNVs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914896PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0087988PLOS

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