Dataset Information

Clinical use of array comparative genomic hybridization (aCGH) for prenatal diagnosis in 300 cases.

ABSTRACT: To evaluate the use of array comparative genomic hybridization (aCGH) for prenatal diagnosis, including assessment of variants of uncertain significance, and the ability to detect abnormalities not detected by karyotype, and vice versa.Women undergoing amniocentesis or chorionic villus sampling (CVS) for karyotype were offered aCGH analysis using a targeted microarray. Parental samples were obtained concurrently to exclude maternal cell contamination and determine if copy number variants (CNVs) were de novo, or inherited prior to issuing a report.We analyzed 300 samples, most were amniotic fluid (82%) and CVS (17%). The most common indications were advanced maternal age (N=123) and abnormal ultrasound findings (N=84). We detected 58 CNVs (19.3%). Of these, 40 (13.3%) were interpreted as likely benign, 15 (5.0%) were of defined pathological significance, while 3 (1.0%) were of uncertain clinical significance. For seven (approximately 2.3% or 1/43), aCGH contributed important new information. For two of these (1% or approximately 1/150), the abnormality would not have been detected without aCGH analysis.Although aCGH-detected benign inherited variants in 13.3% of cases, these did not present major counseling difficulties, and the procedure is an improved diagnostic tool for prenatal detection of chromosomal abnormalities.

SUBMITTER: Van den Veyver IB

PROVIDER: S-EPMC3665952 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature

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Clinical use of array comparative genomic hybridization (aCGH) for prenatal diagnosis in 300 cases.

Van den Veyver Ignatia B IB Patel Ankita A Shaw Chad A CA Pursley Amber N AN Kang Sung-Hae L SH Simovich Marcia J MJ Ward Patricia A PA Darilek Sandra S Johnson Anthony A Neill Sarah E SE Bi Weimin W White Lisa D LD Eng Christine M CM Lupski James R JR Cheung Sau Wai SW Beaudet Arthur L AL

Prenatal diagnosis 20090101 1

<h4>Objective</h4>To evaluate the use of array comparative genomic hybridization (aCGH) for prenatal diagnosis, including assessment of variants of uncertain significance, and the ability to detect abnormalities not detected by karyotype, and vice versa.<h4>Methods</h4>Women undergoing amniocentesis or chorionic villus sampling (CVS) for karyotype were offered aCGH analysis using a targeted microarray. Parental samples were obtained concurrently to exclude maternal cell contamination and determi ...[more]

PMID: 19012303

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Project description:Array Comparative Genomic Hybridization (aCGH) is a rapid screening technique to detect gene deletions and duplications, providing an overview of chromosomal aberrations throughout the entire genome of a tumor, without the need for cell culturing. However, the heterogeneity of aCGH data obfuscates existing methods of data analysis. Analysis of aCGH data from a systems biology perspective or in the context of total aberrations is largely absent in the published literature. We present here a novel alternative to the functional analysis of aCGH data using the phylogenetic paradigm that is well-suited to high dimensional datasets of heterogeneous nature, but has not been widely adapted to aCGH data. Maximum parsimony phylogenetic analysis sorts out genetic data through the simplest presentation of the data on a cladogram, a graphical evolutionary tree, thus providing a powerful and efficient method for aCGH data analysis. For example, the cladogram models the multiphasic changes in the cancer genome and identifies shared early mutations in the disease progression, providing a simple yet powerful means of aCGH data interpretation. As such, applying maximum parsimony phylogenetic analysis to aCGH results allows for the differentiation between drivers and passenger genes aberrations in cancer specimens. In addition to offering a novel methodology to analyze aCGH results, we present here a crucial software suite that we wrote to carry out the analysis. In a broader context, we wish to underscore that phylogenetic analysis of aCGH data is a non-parametric method that circumvents the pitfalls and frustrations of standard analytical techniques that rely on parametric statistics. Organizing the data in a cladogram as explained in this research article provides insights into the disease common aberrations, as well as the disease subtypes and their shared aberrations (the synapomorphies) of each subtype. Hence, we report the method and make the software suite publicly and freely available at http://software.phylomcs.com so that researchers can test alternative and innovative approaches to the analysis of aCGH data.

Project description:BackgroundThe aims of this study were to evaluate the clinical utility of multiplex ligation-dependent probe amplification (MLPA) and array comparative genomic hybridization (aCGH) analyses on prenatal cases and to review prenatal ultrasound findings of cytogenomic syndromes.ResultsOf the 54 prenatal cases analyzed, cytogenomic abnormalities were characterized in 14 cases. In four fetuses with abnormal ultrasound findings, a 40.701 Mb duplication of 8q22.3-q24.3 and a 23.839 Mb deletion of 7q33-q36.3 derived from a paternal balanced translocation, a de novo 13.062 Mb deletion of 11q24.1-q25 for Jacobsen syndrome, a de novo 19.971 Mb deletion of 7q11.23-q21.3 for type 1 split-hand/foot malformation (SHFM1), and a de novo 28.909 Mb duplication of 3q21.1-q25.1 were detected. A 699.8 Kb deletion at 5p15.33 for Cri du Chat syndrome was confirmed in a fetus with abnormal MLPA result. A fetus with abnormal maternal screening was detected with a de novo distal 1.747 Mb duplication at 2q37.1-q37.2 and a 6.664 Mb deletion at 2q37.2-q37.3. Of the eight cases referred by history of spontaneous abortions, derivative chromosomes 11 from paternal carriers of a balanced 8q/11q and a 10q/11q translocation were noted in two cases, simple aneuploids of trisomy 2 and trisomy 21 were seen in three cases, and compound aneuploids of two or three chromosomes were found in three cases. Post-test genetic counseling was performed with detailed genomic information and well characterized postnatal syndromic features.ConclusionsThese results demonstrated that coupling MLPA screening and aCGH analysis are a cost-effective approach to detect cytogenomic abnormalities in a prenatal setting. The aCGH analysis provided not only genomic maps of breakpoints and gene content of imbalanced regions but also better inference of related phenotypes for genetic counseling. Prenatal ultrasound findings reported in the literature for Jacobsen syndrome, SHFM and Cri du Chat syndrome were summarized for use as diagnostic references.

Dataset Information

Clinical use of array comparative genomic hybridization (aCGH) for prenatal diagnosis in 300 cases.

Publications

Clinical use of array comparative genomic hybridization (aCGH) for prenatal diagnosis in 300 cases.

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