Published online December 1, 2008
PEDIATRICS Vol. 122 No. 6 December 2008, pp. 1310-1318 (doi:10.1542/peds.2008-0297)
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ARTICLE

Genomic Imbalances in Neonates With Birth Defects: High Detection Rates by Using Chromosomal Microarray Analysis

Xin-Yan Lu, MDa,b, Mai T. Phung, MDb,c, Chad A. Shaw, PhDa, Kim Pham, BSa, Sarah E. Neil, BSa, Ankita Patel, PhDa, Trilochan Sahoo, MDa, Carlos A. Bacino, MDa,b, Pawel Stankiewicz, MD, PhDa, Sung-Hae Lee Kang, PhDa, Seema Lalani, MDa,b, A. Craig Chinault, PhDa, James R. Lupski, MD, PhDa,b, Sau W. Cheung, PhDa and Arthur L. Beaudet, MDa,b

a Departments of Molecular and Human Genetics
b Pediatrics, Baylor College of Medicine, Houston, Texas
c Department of Neonatal Medical Services, Winnie Palmer Hospital for Women and Babies, Orlando, Florida

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.


Key Words: sporadic birth defects • array comparative genomic hybridization • copy-number variation • molecular cytogenetic analysis • and mosaicism

Abbreviations: GTG banding—trypsin-Giemsa banding • FISH—fluorescence in situ hybridization • DG/VCFS—DiGeorge/velocardiofacial syndrome • aCGH—array comparative genomic hybridization • CNV—copy-number variation • BAC—bacterial artificial chromosome • CMA—chromosomal microarray analysis • DF—dysmorphic feature • MCA—multiple congenital anomalies • CHD—congenital heart disease • PWS/AS—Prader-Willi/Angelman syndrome • OMIM—Online Mendelian Inheritance in Man


Accepted Jul 14, 2008.


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Chromosomal microarray and birth defects in the community setting
Robert J Wallerstein, et al.
Pediatrics Online, 20 Feb 2009 [Full text]