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Comparative Study
. 2008 Dec;122(6):1310-8.
doi: 10.1542/peds.2008-0297.

Genomic imbalances in neonates with birth defects: high detection rates by using chromosomal microarray analysis

Affiliations
Comparative Study

Genomic imbalances in neonates with birth defects: high detection rates by using chromosomal microarray analysis

Xin-Yan Lu et al. Pediatrics. 2008 Dec.

Abstract

Objectives: Our aim was to determine the frequency of genomic imbalances in neonates with birth defects by using targeted array-based comparative genomic hybridization, also known as chromosomal microarray analysis.

Methods: Between March 2006 and September 2007, 638 neonates with various birth defects were referred for chromosomal microarray analysis. Three consecutive chromosomal microarray analysis versions were used: bacterial artificial chromosome-based versions V5 and V6 and bacterial artificial chromosome emulated oligonucleotide-based version V6 Oligo. Each version had targeted but increasingly extensive genomic coverage and interrogated>150 disease loci with enhanced coverage in genomic rearrangement-prone pericentromeric and subtelomeric regions.

Results: Overall, 109 (17.1%) patients were identified with clinically significant abnormalities with detection rates of 13.7%, 16.6%, and 19.9% on V5, V6, and V6 Oligo, respectively. The majority of these abnormalities would not be defined by using karyotype analysis. The clinically significant detection rates by use of chromosomal microarray analysis for various clinical indications were 66.7% for "possible chromosomal abnormality"+/-"others" (other clinical indications), 33.3% for ambiguous genitalia+/-others, 27.1% for dysmorphic features+multiple congenital anomalies+/-others, 24.6% for dysmorphic features+/-others, 21.8% for congenital heart disease+/-others, 17.9% for multiple congenital anomalies+/-others, and 9.5% for the patients referred for others that were different from the groups defined. In all, 16 (2.5%) patients had chromosomal aneuploidies, and 81 (12.7%) patients had segmental aneusomies including common microdeletion or microduplication syndromes and other genomic disorders. Chromosomal mosaicism was found in 12 (1.9%) neonates.

Conclusions: Chromosomal microarray analysis is a valuable clinical diagnostic tool that allows precise and rapid identification of genomic imbalances and mosaic abnormalities as the cause of birth defects in neonates. Chromosomal microarray analysis allows for timely molecular diagnoses and detects many more clinically relevant genomic abnormalities than conventional cytogenetic studies, enabling more informed decision-making and management and appropriate assessment of recurrence risk.

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Figures

FIGURE 1
FIGURE 1
Ideogram summarizing the clinically significant CNVs in 109 neonates with birth defects. Red and green indicate loss and gain in copy numbers, respectively. The lengths of the vertical bars indicate the size of the CNVs corresponding to the cytogenetic bands; the vertical dotted lines represent mosaicism for chromosomal aneuploidy. The Y chromosome is not shown in this ideogram.
FIGURE 2
FIGURE 2
CMA ratio plot, FISH, and karyotype analyses for mosaic trisomy 18 in a female neonate with DFs and failure to thrive. A, Different copy-number gains for chromosome 18p and 18q (separated by a pink vertical line) detected by CMA. B and C, FISH using chromosome 18 centromere probe (green) and a probe for 18p (red) showing i(18p) (B) and trisomy 18 (C). D and E, Karyotype analysis showing i(18p) (D) and trisomy 18 (E).

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