91
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identification of novel genomic imbalances in Saudi patients with congenital heart disease

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Quick genetic diagnosis of a patient with congenital heart disease (CHD) is quite important for proper health care and management. Copy number variations (CNV), chromosomal imbalances and rearrangements have been frequently associated with CHD. Previously, due to limitations of microscope based standard karyotyping techniques copious CNVs and submicroscopic imbalances could not be detected in numerous CHD patients. The aim of our study is to identify cytogenetic abnormalities among the selected CHD cases ( n = 17) of the cohort using high density oligo arrays.

          Results

          Our screening study indicated that six patients (~35%) have various cytogenetic abnormalities. Among the patients, only patient 2 had a duplication whereas the rest carried various deletions. The patients 1, 4 and 6 have only single large deletions throughout their genome; a 3.2 Mb deletion on chromosome 7, a 3.35 Mb deletion on chromosome 3, and a 2.78 Mb a deletion on chromosome 2, respectively. Patients 3 and 5 have two deletions on different chromosomes. Patient 3 has deletions on chromosome 2 (2q24.1; 249 kb) and 16 (16q22.2; 1.8 Mb). Patient 4 has a 3.35 Mb an interstitial deletion on chromosome 3 (3q13.2q13.31).

          Based on our search on the latest available literature, our study is the first inclusive array CGH evaluation on Saudi cohort of CHD patients.

          Conclusions

          This study emphasizes the importance of the arrays in genetic diagnosis of CHD. Based on our results the high resolution arrays should be utilized as first-tier diagnostic tool in clinical care as suggested before by others. Moreover, previously evaluated negative CHD cases (based on standard karyotyping methods) should be re-examined by microarray based cytogenetic methods.

          Related collections

          Most cited references69

          • Record: found
          • Abstract: found
          • Article: not found

          Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis.

          Congenital heart disease (CHD) accounts for nearly one-third of all major congenital anomalies. CHD birth prevalence worldwide and over time is suggested to vary; however, a complete overview is missing. This systematic review included 114 papers, comprising a total study population of 24,091,867 live births with CHD identified in 164,396 individuals. Birth prevalence of total CHD and the 8 most common subtypes were pooled in 5-year time periods since 1930 and in continent and income groups since 1970 using the inverse variance method. Reported total CHD birth prevalence increased substantially over time, from 0.6 per 1,000 live births (95% confidence interval [CI]: 0.4 to 0.8) in 1930 to 1934 to 9.1 per 1,000 live births (95% CI: 9.0 to 9.2) after 1995. Over the last 15 years, stabilization occurred, corresponding to 1.35 million newborns with CHD every year. Significant geographical differences were found. Asia reported the highest CHD birth prevalence, with 9.3 per 1,000 live births (95% CI: 8.9 to 9.7), with relatively more pulmonary outflow obstructions and fewer left ventricular outflow tract obstructions. Reported total CHD birth prevalence in Europe was significantly higher than in North America (8.2 per 1,000 live births [95% CI: 8.1 to 8.3] vs. 6.9 per 1,000 live births [95% CI: 6.7 to 7.1]; p < 0.001). Access to health care is still limited in many parts of the world, as are diagnostic facilities, probably accounting for differences in reported birth prevalence between high- and low-income countries. Observed differences may also be of genetic, environmental, socioeconomical, or ethnic origin, and there needs to be further investigation to tailor the management of this global health problem. Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The incidence of congenital heart disease

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found
              Is Open Access

              Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

              Chromosomal microarray (CMA) is increasingly utilized for genetic testing of individuals with unexplained developmental delay/intellectual disability (DD/ID), autism spectrum disorders (ASD), or multiple congenital anomalies (MCA). Performing CMA and G-banded karyotyping on every patient substantially increases the total cost of genetic testing. The International Standard Cytogenomic Array (ISCA) Consortium held two international workshops and conducted a literature review of 33 studies, including 21,698 patients tested by CMA. We provide an evidence-based summary of clinical cytogenetic testing comparing CMA to G-banded karyotyping with respect to technical advantages and limitations, diagnostic yield for various types of chromosomal aberrations, and issues that affect test interpretation. CMA offers a much higher diagnostic yield (15%-20%) for genetic testing of individuals with unexplained DD/ID, ASD, or MCA than a G-banded karyotype ( approximately 3%, excluding Down syndrome and other recognizable chromosomal syndromes), primarily because of its higher sensitivity for submicroscopic deletions and duplications. Truly balanced rearrangements and low-level mosaicism are generally not detectable by arrays, but these are relatively infrequent causes of abnormal phenotypes in this population (<1%). Available evidence strongly supports the use of CMA in place of G-banded karyotyping as the first-tier cytogenetic diagnostic test for patients with DD/ID, ASD, or MCA. G-banded karyotype analysis should be reserved for patients with obvious chromosomal syndromes (e.g., Down syndrome), a family history of chromosomal rearrangement, or a history of multiple miscarriages. Copyright (c) 2010 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                zhassnan@kfshrc.edu.sa
                waadalbawardi@gmail.com
                afaten@kfshrc.edu.sa
                ralmass@kfshrc.edu.sa
                abinbakheet@kfshrc.edu.sa
                omustafa@alfaisal.edu
                lalquait@kfshrc.edu.sa
                szarghuna@kfshrc.edu.sa
                smajid@kfshrc.edu.sa
                mustafa_salih05@yahoo.com
                mfayyadh@kfshrc.edu.sa
                Saeedhassan10@yahoo.com
                mjoufan@kfshrc.edu.sa
                assoma_1402@hotmail.com
                bl2185@cumc.columbia.edu
                balsamaarik@gmail.com
                hhakami1@ksu.edu.sa
                malsagob88@kfshrc.edu.sa
                dcolakkaya@kfshrc.edu.sa
                +966-1-464-7272 , nkaya@kfshrc.edu.sa , namikkaya@gmail.com
                Journal
                Mol Cytogenet
                Mol Cytogenet
                Molecular Cytogenetics
                BioMed Central (London )
                1755-8166
                25 January 2018
                25 January 2018
                2018
                : 11
                : 9
                Affiliations
                [1 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Department of Medical Genetics, , King Faisal Specialist Hospital and Research Centre, ; Riyadh, Kingdom of Saudi Arabia
                [2 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Department of Genetics, , King Faisal Specialist Hospital and Research Centre, ; MBC: 03, Riyadh, 11211 Kingdom of Saudi Arabia
                [3 ]ISNI 0000 0004 1773 5396, GRID grid.56302.32, Division of Pediatric Neurology, Department of Pediatrics, , College of Medicine, King Saud University, ; Riyadh, Kingdom of Saudi Arabia
                [4 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Heart Center, King Faisal Specialist Hospital and Research Centre, ; Riyadh, Kingdom of Saudi Arabia
                [5 ]ISNI 0000000419368729, GRID grid.21729.3f, Department of Pathology and Cell Biology, , Columbia University, ; New York, NY USA
                [6 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Department of Biostatistics, , Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Centre, ; Riyadh, Kingdom of Saudi Arabia
                [7 ]ISNI 0000 0004 1758 7207, GRID grid.411335.1, College of Medicine, Alfaisal University, ; Riyadh, Saudi Arabia
                Author information
                http://orcid.org/0000-0001-8912-7507
                Article
                356
                10.1186/s13039-018-0356-6
                5784682
                29416564
                e542b136-224b-42be-96a1-1ada987cb090
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 13 September 2017
                : 3 January 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004919, King Abdulaziz City for Science and Technology;
                Award ID: 14-BIO2221-20
                Award ID: 14-MED2007-20
                Award ID: 11-MED1439-20
                Award ID: 11-BIO2072-20
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Genetics
                congenital heart disease,cervical ankylosis,hypoplastic thumb,osteopenia,fused central vertebrae

                Comments

                Comment on this article