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Array CGH in congenital heart disease

ABSTRACT: Congenital heart disease (CHD) is the most frequent birth defect and affects nearly 1% of newborns. The etiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but next to nothing is known about the impact of DNA copy number changes in non-syndromic CHD. Here we present a sub-megabase resolution array CGH screen of a cohort with CHD as the sole abnormality at the time of diagnosis. Keywords: array CGH

ORGANISM(S): Homo sapiens

PROVIDER: GSE7527 | GEO | 2008/05/12

SECONDARY ACCESSION(S): PRJNA99395

REPOSITORIES: GEO

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Array CGH in congenital heart disease

Project description:Congenital heart disease (CHD) is the most frequent birth defect and affects nearly 1% of newborns. The etiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but next to nothing is known about the impact of DNA copy number changes in non-syndromic CHD. Here we present a sub-megabase resolution array CGH screen of a cohort with CHD as the sole abnormality at the time of diagnosis. Keywords: array CGH In this BAC array CGH study 104 patients with congenital heart disease and some of their parents were screened for DNA copy number changes at submegabase resolution. No dye swap was performed.

2008-05-11 | E-GEOD-7527 | biostudies-arrayexpress

Application of Array CGH technique for the clinical diagnosis of developmental delay and congenital malformations in Saudi Arabia [400k]

Project description:Chromosomal imbalances are implicated in the etiology of developmental delay (DD) and congenital malformation (CM). We therefore conducted high resolution array comparative genomic hybridization (array CGH) of sixty three Saudi patients [11 by Agilent-001850/CGH1x244A and 52 by Agilent-014693/CGH2x400k] for investigating and understanding the genetic heterogeneity underlying DD/CM. A total of 76 disease associated copy number variants (CNVs) were detected in twenty four patients including 1p36, 1q21, 3p23, 6p24, 7q11, 8q24, 9q33, 10p14, 11p15, 11q12, 11q24, 13q21, 15q13, 16p13, 18q23, trisomy 18, 20q11, 21q22, 22q11.21, 47,XXY and 45,X0. The diagnosis rate of array CGH was 2.6 times higher than karyotyping.

2021-08-13 | GSE182081 | GEO

Application of Array CGH technique for the clinical diagnosis of developmental delay and congenital malformations in Saudi Arabia [244k]

2021-08-13 | GSE181995 | GEO

Screening for chromosomal aberrations by array CGH in 74 patients with congenital hypothyroidism

Project description:Congenital Hypothyroidism occurs in 1:3500 live births and is therefore the most common congenital endocrine disorder. A spectrum of defective thyroid morphology, termed thyroid dysgenesis, represents 80% of permanent CH cases. Although several candidate genes have been implicated in thyroid development, comprehensive screens failed to detect mutation carriers in a significant number of patients with non-syndromic TD. Due to the sporadic occurrence of TD, de novo chromosomal rearrangements are conceivably representing one of the molecular mechanisms participating in its aetiology. Recently, the use of array CGH technique has provided the ability to map these variations genomewide with high resolution. We performed an array CGH screen of 74 TD patients to determine the role of copy number variants (CNV) in the aetiology of the disease. We identified novel CNVs in 8.75% of all patients that have not been described as frequent variations in the healthy population. Affected patients presented with athyreosis or thyroid hypoplasia and in one case with associated heart malformation.

2010-06-01 | GSE18152 | GEO

Maternal Serum tRNA-derived Fragments (tRFs) as Potential Candidates for Diagnosis of Fetal Congenital Heart Disease

Project description:Background: Congenital heart disease (CHD) is one of the most predominant birth defects that cause infant death worldwide. The timely and successful surgical treatment of CHD on newborns after delivery requires accurate detection and reliable diagnosis during pregnancy. However, there are no biomarkers that can serve as an early diagnostic factor for CHD patients. tRNA-derived fragments (tRFs) have been reported to play an important role in the occurrence and progression of numerous diseases, but their roles in CHD remains unknown. Methods: High-throughput sequencing was performed on the peripheral blood of pregnant women with abnormal fetal heart and normal fetal heart, and 728 differentially expressed tRFs/tiRNAs were identified, among which the top 18 tRFs/tiRNAs were selected as predictive biomarkers of CHD. Then, quantitative reverse transcriptase polymerase chain reaction verified the expression of tRFs/tiRNAs in more clinical samples, and the correlation between tRFs/tiRNAs abnormalities and CHD was analyzed. Results: tRF-58:74-Gly-GCC-1 and tiRNA-1:35-Leu-CAG-1-M2 may be promising biomarkers. Through further bioinformatics analysis, we predicted that TRF-58:744-GLy-GCC-1 could induce CHD by influencing biological metabolic processes. Conclusions: our results provide a theoretical basis for the abnormally expressed tRF-58:74-Gly-GCC-1 in maternal peripheral blood as a new potential biomarker for the accurate diagnosis of CHD during pregnancy.

2023-03-01 | GSE221349 | GEO

Single-cell aneuploidy detection by array CGH

Project description:In this study, we extend array CGH technology by making the accurate detection of chromosomal imbalances possible from a single fibroblast and blastomere following Phi29 DNA polymerase amplification. Keywords: CGH

2006-02-01 | GSE3642 | GEO

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Project description:Haploinsufficiency of transcriptional regulators causes human congenital heart disease (CHD), predicting gene regulatory network (GRN) imbalances. Here, we define transcriptional responses to reduced transcription factor dosage in human iPSCs heterozygous or homozygous for loss of the CHD gene TBX5.

2020-12-14 | GSE137875 | GEO

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