Literature DB >> 25203518

Microarray-based comparative genomic hybridization analysis in neonates with congenital anomalies: detection of chromosomal imbalances.

Luiza Emy Dorfman1, Júlio César L Leite2, Roberto Giugliani3, Mariluce Riegel4.   

Abstract

OBJECTIVE: To identify chromosomal imbalances by whole-genome microarray-based comparative genomic hybridization (array-CGH) in DNA samples of neonates with congenital anomalies of unknown cause from a birth defects monitoring program at a public maternity hospital.
METHODS: A blind genomic analysis was performed retrospectively in 35 stored DNA samples of neonates born between July of 2011 and December of 2012. All potential DNA copy number variations detected (CNVs) were matched with those reported in public genomic databases, and their clinical significance was evaluated.
RESULTS: Out of a total of 35 samples tested, 13 genomic imbalances were detected in 12/35 cases (34.3%). In 4/35 cases (11.4%), chromosomal imbalances could be defined as pathogenic; in 5/35 (14.3%) cases, DNA CNVs of uncertain clinical significance were identified; and in 4/35 cases (11.4%), normal variants were detected. Among the four cases with results considered causally related to the clinical findings, two of the four (50%) showed causative alterations already associated with well-defined microdeletion syndromes. In two of the four samples (50%), the chromosomal imbalances found, although predicted as pathogenic, had not been previously associated with recognized clinical entities.
CONCLUSIONS: Array-CGH analysis allowed for a higher rate of detection of chromosomal anomalies, and this determination is especially valuable in neonates with congenital anomalies of unknown etiology, or in cases in which karyotype results cannot be obtained. Moreover, although the interpretation of the results must be refined, this method is a robust and precise tool that can be used in the first-line investigation of congenital anomalies, and should be considered for prospective/retrospective analyses of DNA samples by birth defect monitoring programs.
Copyright © 2014 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

Entities:  

Keywords:  Anomalias congênitas; Anomalias cromossômicas; Array-CGH; Birth defects; CGH-array; Chromosomal abnormalities; Citogenética molecular; Congenital anomalies; Defeitos congênitos; Molecular cytogenetics; Newborn selective screening; Triagem seletiva de recém-nascidos

Mesh:

Year:  2014        PMID: 25203518     DOI: 10.1016/j.jped.2014.05.007

Source DB:  PubMed          Journal:  J Pediatr (Rio J)        ISSN: 0021-7557            Impact factor:   2.197


  6 in total

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Authors:  Karen Regina de Souza; Rafaella Mergener; Janaina Huber; Lucia Campos Pellanda; Mariluce Riegel
Journal:  Biomed Res Int       Date:  2015-06-07       Impact factor: 3.411

2.  Chromosomal microarray analysis in developmental delay and intellectual disability with comorbid conditions.

Authors:  Yanjie Fan; Yanming Wu; Lili Wang; Yu Wang; Zhuwen Gong; Wenjuan Qiu; Jingmin Wang; Huiwen Zhang; Xing Ji; Jun Ye; Lianshu Han; Xingming Jin; Yongnian Shen; Fei Li; Bing Xiao; Lili Liang; Xia Zhang; Xiaomin Liu; Xuefan Gu; Yongguo Yu
Journal:  BMC Med Genomics       Date:  2018-05-24       Impact factor: 3.063

3.  Integrated analysis of the critical region 5p15.3-p15.2 associated with cri-du-chat syndrome.

Authors:  Thiago Corrêa; Bruno César Feltes; Mariluce Riegel
Journal:  Genet Mol Biol       Date:  2019-04-11       Impact factor: 1.771

4.  [Copy number variation and parental consanguinity elevated in newborns of high altitude with major congenital anomalies in Perú].

Authors:  Hugo Hernán Abarca Barriga; Felix Chavesta Velásquez; Claudia Barletta Carrillo; Abel Paucarmayta Tacuri; Margaret Bazán Hurtado; Tania Vásquez Loarte; Luis Ordoñez Rondón; Marco Ordoñez Linares; Evelina Andrea Rondón Abuhadba
Journal:  Rev Fac Cien Med Univ Nac Cordoba       Date:  2022-06-06

Review 5.  Rare disease landscape in Brazil: report of a successful experience in inborn errors of metabolism.

Authors:  Roberto Giugliani; Filippo P Vairo; Mariluce Riegel; Carolina F M de Souza; Ida V D Schwartz; Sérgio D J Pena
Journal:  Orphanet J Rare Dis       Date:  2016-06-10       Impact factor: 4.123

6.  Identification of genomic imbalances in oral clefts.

Authors:  Elaine Lustosa-Mendes; Ana P Dos Santos; Társis P Vieira; Erlane M Ribeiro; Adriana A Rezende; Agnes C Fett-Conte; Denise P Cavalcanti; Têmis M Félix; Isabella L Monlleó; Vera Lúcia Gil-da-Silva-Lopes
Journal:  J Pediatr (Rio J)       Date:  2020-07-21       Impact factor: 2.990

  6 in total

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