scholarly journals Observations on Copy Number Variations in a Kidney-yang Deficiency Syndrome Family

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Wei Wei Liu ◽  
Yong Xiang Gao ◽  
Li Ping Zhou ◽  
Azure Duan ◽  
Ling Ling Tan ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Copy Number ◽  
Single Nucleotide Polymorphism Array ◽  
Copy Number Variants ◽  
Deficiency Syndrome ◽  
Mendelian Inheritance ◽  
Copy Number Variations ◽  
Structural Genomic ◽  
Metabolism Regulation ◽  
Kidney Yang Deficiency

We have performed an analysis of a family with kidney-yang deficiency syndrome (KDS) in order to determine the structural genomic variations through a novel approach designated as “copy number variants” (CNVs). Twelve KDS subjects and three healthy spouses from this family were included in this study. Genomic DNA samples were genotyped utilizing an Affymetrix 100 K single nucleotide polymorphism array, and CNVs were identified by Copy Number Algorithm (CNAT4.0, Affymetrix). Our results demonstrate that 447 deleted and 476 duplicated CNVs are shared among KDS subjects within the family. The homologus ratio of deleted CNVs was as high as 99.78%. One-copy-duplicated CNVs display mid-range homology. For two copies of duplicated CNVs (CNV4), a markedly heterologous ratio was observed. Therefore, with the important exception of CNV4, our data shows that CNVs shared among KDS subjects display typical Mendelian inheritance. A total of 113 genes with established functions were identified from the CNV flanks; significantly enriched genes surrounding CNVs may contribute to certain adaptive benefit. These genes could be classified into categories including: binding and transporter, cell cycle, signal transduction, biogenesis, nerve development, metabolism regulation and immune response. They can also be included into three pathways, that is, signal transduction, metabolic processes and immunological networks. Particularly, the results reported here are consistent with the extensive impairments observed in KDS patients, involving the mass-energy-information-carrying network. In conclusion, this article provides the first set of CNVs from KDS patients that will facilitate our further understanding of the genetic basis of KDS and will allow novel strategies for a rational therapy of this disease.

Application of Copy Number Variation Sequencing in Genetic Analysis of Miscarriages in Early and Middle Pregnancy

2020 ◽  
Vol 160 (11-12) ◽  
pp. 634-642
Author(s):  
Shiqiang Luo ◽  
Xingyuan Chen ◽  
Tizhen Yan ◽  
Jiaolian Ya ◽  
Zehui Xu ◽  
...  
Keyword(s):  
Copy Number Variation ◽  
High Throughput ◽  
Copy Number ◽  
High Throughput Sequencing ◽  
Chromosomal Abnormalities ◽  
Pregnancy Termination ◽  
Mendelian Inheritance ◽  
Copy Number Variations ◽  
Abnormal Chromosome ◽  
Number Variation

High-throughput sequencing based on copy number variation (CNV-seq) is commonly used to detect chromosomal abnormalities. This study identifies chromosomal abnormalities in aborted embryos/fetuses in early and middle pregnancy and explores the application value of CNV-seq in determining the causes of pregnancy termination. High-throughput sequencing was used to detect chromosome copy number variations (CNVs) in 116 aborted embryos in early and middle pregnancy. The detection data were compared with the Database of Genomic Variants (DGV), the Database of Chromosomal Imbalance and Phenotype in Humans using Ensemble Resources (DECIPHER), and the Online Mendelian Inheritance in Man (OMIM) database to determine the CNV type and the clinical significance. High-throughput sequencing results were successfully obtained in 109 out of 116 specimens, with a detection success rate of 93.97%. In brief, there were 64 cases with abnormal chromosome numbers and 23 cases with CNVs, in which 10 were pathogenic mutations and 13 were variants of uncertain significance. An abnormal chromosome number is the most important reason for embryo termination in early and middle pregnancy, followed by pathogenic chromosome CNVs. CNV-seq can quickly and accurately detect chromosome abnormalities and identify microdeletion and microduplication CNVs that cannot be detected by conventional chromosome analysis, which is convenient and efficient for genetic etiology diagnosis in miscarriage.

scholarly journals Failure to Confirm CNVs as of Aetiological Significance in Twin Pairs Discordant for Schizophrenia

2010 ◽  
Vol 13 (5) ◽  
pp. 455-460 ◽  
Author(s):  
Shinji Ono ◽  
Akira Imamura ◽  
Shinya Tasaki ◽  
Naohiro Kurotaki ◽  
Hiroki Ozawa ◽  
...  
Keyword(s):  
Copy Number ◽  
Developmental Process ◽  
Single Nucleotide Polymorphism Array ◽  
Monozygotic Twins ◽  
Peripheral Blood Lymphocytes ◽  
Copy Number Variations ◽  
Genomic Diversity ◽  
Clinical Population ◽  
Small Subset ◽  
Structural Variations

Copy number variations (CNVs) are common structural variations in the human genome that strongly affect genomic diversity and can play a role in the development of several diseases, including neurodevelopmental disorders. Recent reports indicate that monozygotic twins can show differential CNV profiles. We searched CNVs in monozygotic twins discordant for schizophrenia to identify susceptible loci for schizophrenia. Three pairs of monozygotic twins discordant for schizophrenia were subjected to analysis. Genomic DNA samples were extracted from peripheral blood lymphocytes. We adopted the Affymetrix Genome-Wide Human SNP (Single Nucleotide Polymorphism) Array 6.0 to detect copy number discordance using Partek Genomics Suite 6.5 beta. In three twin pairs, however, validations by quantitative PCR and DNA sequencing revealed that none of the regions had any discordance between the three twin pairs. Our results support the hypothesis that epigenetic changes or fluctuation in developmental process triggered by environmental factors mainly contribute to the pathogenesis of schizophrenia. Schizophrenia caused by strong genetics factors including copy number alteration or gene mutation may be a small subset of the clinical population.

scholarly journals Genotype-Phenotype correlation in Dravet Syndrome with SCN1A mutation increase efficiency of molecular diagnosis

2012 ◽  
Vol 18 (2) ◽  
pp. 60-62
Author(s):  
MC Gonsales ◽  
P Preto ◽  
MA Montenegro ◽  
MM Guerreiro ◽  
I Lopes-Cendes
Keyword(s):  
Protein Function ◽  
Copy Number ◽  
Mutation Screening ◽  
Copy Number Variants ◽  
Febrile Seizures ◽  
Copy Number Variations ◽  
Dravet Syndrome ◽  
Missense Mutations ◽  
The Impact ◽  
Doose Syndrome

OBJECTIVES: The purpose of this study was to advance the knowledge on the clinical use of SCN1A testing for severe epilepsies within the spectrum of generalized epilepsy with febrile seizures plus by performing genetic screening in patients with Dravet and Doose syndromes and establishing genotype-phenotype correlations. METHODS: Mutation screening in SCN1A was performed in 15 patients with Dravet syndrome and 13 with Doose syndrome. Eight prediction algorithms were used to analyze the impact of the mutations in putative protein function. Furthermore, all SCN1A mutations previously published were compiled and analyzed. In addition, Multiplex Ligation-Dependent Probe Amplification (MLPA) technique was used to detect possible copy number variations within SCN1A. RESULTS: Twelve mutations were identified in patients with Dravet syndrome, while patients with Doose syndrome showed no mutations. Our results show that the most common type of mutation found is missense, and that they are mostly located in the pore region and the N- and C-terminal of the protein. No copy number variants in SCN1A were identified in our cohort. CONCLUSIONS: SCN1A testing is clinically useful for patients with Dravet syndrome, but not for those with Doose syndrome, since both syndromes do not seem to share the same genetic basis. Our results indicate that indeed missense mutations can cause severe phenotypes depending on its location and the type of amino-acid substitution. Moreover, our strategy for predicting deleterious effect of mutations using multiple computation algorithms was efficient for most of the mutations identified.

scholarly journals “Abnormal vertebral patterns in genetically heterogeneous deceased fetuses and neonates: evidence of selection against variations”

2019 ◽  
Author(s):  
Pauline C. Schut ◽  
Erwin Brosens ◽  
Frietson Galis ◽  
Clara M. A. Ten Broek ◽  
Inge M.M. Baijens ◽  
...  
Keyword(s):  
Copy Number ◽  
Single Nucleotide Polymorphism Array ◽  
Copy Number Variations ◽  
Cervical Region ◽  
Nucleotide Polymorphism ◽  
Rare Cnvs ◽  
Single Nucleotide ◽  
Neonatal Deaths ◽  
Coding Regions ◽  
Cervical Ribs

AbstractObjectiveTo assess the vertebral pattern in a cohort of deceased fetuses and neonates, and to study the possible impact of DNA Copy Number Variations (CNVs) in coding regions and/or disturbing enhancers on the development of the vertebral pattern.MethodRadiographs of 445 fetuses and infants, deceased between 2009 and 2015, were assessed. Terminations of pregnancies, stillbirths and neonatal deaths were included. Patients were excluded if the vertebral pattern could not be determined. Copy number profiles of 265 patients were determined using single nucleotide polymorphism array.Results274/374 patients (73.3%) had an abnormal vertebral pattern. Cervical ribs were present in 188/374 (50.3%) and were significantly more common in stillbirths (69/128 (53.9%)) and terminations of pregnancies (101/188 (53.7%)), compared to live births (18/58, 31.0%, p = 0.006). None of the rare CNVs were recurrent or overlapped candidate genes for vertebral patterning.ConclusionThe presence of an abnormal vertebral pattern, particularly in the cervical region, could be a sign of disruption at critical, highly interactive and conserved stages of embryogenesis. The vertebral pattern might provide valuable information regarding fetal and neonatal outcome. CNV analyses did not identify a mutual genetic cause for the occurrence of vertebral patterning abnormalities, indicating genetic heterogeneity.

scholarly journals RBV: Read balance validator, a tool for prioritising copy number variations in germline conditions

2018 ◽  
Author(s):  
Whitney Whitford ◽  
Klaus Lehnert ◽  
Russell G. Snell ◽  
Jessie C. Jacobsen
Keyword(s):  
Copy Number ◽  
High Throughput Sequencing ◽  
Sequence Data ◽  
Relative Proportion ◽  
Copy Number Variants ◽  
Read Depth ◽  
Copy Number Variations ◽  
Single Nucleotide Variants ◽  
Software Packages ◽  
Bioinformatic Tool

AbstractBackgroundThe popularisation and decreased cost of genome resequencing has resulted in an increased use in molecular diagnostics. While there are a number of established and high quality bioinfomatic tools for identifying small genetic variants including single nucleotide variants and indels, currently there is no established standard for the detection of copy number variants (CNVs) from sequence data. The requirement for CNV detection from high throughput sequencing has resulted in the development of a large number of software packages. These tools typically utilise the sequence data characteristics: read depth, split reads, read pairs, and assembly-based techniques. However the additional source of information from read balance, defined as relative proportion of reads of each allele at each position, has been underutilised in the existing applications.ResultsWe present Read Balance Validator (RBV), a bioinformatic tool which uses read balance for prioritisation and validation of putative CNVs. The software simultaneously interrogates nominated regions for the presence of deletions or multiplications, and can differentiate larger CNVs from diploid regions. Additionally, the utility of RBV to test for inheritance of CNVs is demonstrated in this report.ConclusionsRBV is a CNV validation and prioritisation bioinformatic tool for both genome and exome sequencing available as a python package from https://github.com/whitneywhitford/RBV

scholarly journals Dissecting Intra-Tumor Heterogeneity by the Analysis of Copy Number Variations in Single Cells: The Neuroblastoma Case Study

2019 ◽  
Vol 20 (4) ◽  
pp. 893 ◽  
Author(s):  
Federica Cariati ◽  
Francesca Borrillo ◽  
Varun Shankar ◽  
Marcella Nunziato ◽  
Valeria D’Argenio ◽  
...  
Keyword(s):  
Cell Lines ◽  
Copy Number ◽  
Tumor Heterogeneity ◽  
Single Cells ◽  
Neuroblastoma Cell ◽  
Copy Number Variants ◽  
Copy Number Variations ◽  
Cellular Heterogeneity ◽  
Genotypic Differences ◽  
Laboratory Protocol

Tumors often show intra-tumor heterogeneity because of genotypic differences between all the cells that compose it and that derive from it. Recent studies have shown significant aspects of neuroblastoma heterogeneity that may affect the diagnostic-therapeutic strategy. Therefore, we developed a laboratory protocol, based on the combination of the advanced dielectrophoresis-based array technology and next-generation sequencing to identify and sort single cells individually and carry out their copy number variants analysis. The aim was to evaluate the cellular heterogeneity, avoiding overestimation or underestimation errors, due to a bulk analysis of the sample. We tested the above-mentioned protocol on two neuroblastoma cell lines, SK-N-BE(2)-C and IMR-32. The presence of several gain or loss chromosomal regions, in both cell lines, shows a high heterogeneity of the copy number variants status of the single tumor cells, even if they belong to an immortalized cell line. This finding confirms that each cell can potentially accumulate different alterations that can modulate its behavior. The laboratory protocol proposed herein provides a tool able to identify prevalent behaviors, and at the same time highlights the presence of particular clusters that deviate from them. Finally, it could be applicable to many other types of cancer.

scholarly journals Predictive impact of rare genomic copy number variations in siblings of individuals with autism spectrum disorders

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
L. D’Abate ◽  
S. Walker ◽  
R. K. C. Yuen ◽  
K. Tammimies ◽  
J. A. Buchanan ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Copy Number ◽  
Copy Number Variants ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Recurrence Prediction ◽  
Common Genetic Variants ◽  
Spectrum Disorders ◽  
Atypical Development ◽  
Research Consortium

AbstractIdentification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: 6 with ASD, 5 atypically developing, and 2 typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83; the Simons Simplex Collection of ASD families shows similar PPVs. Polygenic risk analyses suggest that common genetic variants may also contribute to ASD. CNV findings would have been pre-symptomatically predictive of ASD or atypical development in 11 (7%) of the 157 BSRC siblings who were eventually diagnosed clinically.

A Study from Turkey: Identification of Copy Number Variants in Children and Adolescents with Autism Spectrum Disorder

2021 ◽  
Author(s):  
Ahmet Özaslan ◽  
Gülsüm Kayhan ◽  
Elvan İşeri ◽  
Mehmet Ali Ergün ◽  
Esra Güney ◽  
...  
Keyword(s):  
Copy Number ◽  
Diagnostic Yield ◽  
Venous Blood ◽  
Copy Number Variants ◽  
Clinical Importance ◽  
Turkish Population ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Turkish Children ◽  
Children With Asd

Abstract Recent studies suggest that copy number variations (CNVs) play a significant role in the aetiology of ASD. This study aims to investigate CNVs, which are thought to be an important factor in ASD etiology. In addition it was aimed to specify the clinical usefulness of chromosomal microarrays (CMA) in the examination of ASD patients in Turkish population. Of 47 children (60.34±25.60 months; 82.9% boys) with ASD were constructed the sample. The karyotype structure of all participants was found to be normal using conventional cytogenetic methods. DNA obtained from the venous blood samples of the participants was evaluated using SurePrint G3 ISCA V2 CGH 8x60K Array (Agilent Technologies Santa Clara, CA, USA). We have identified 8 CNVs, ranging in size from 55 kb to 6.5 Mb in 7 (5 boys) of 47 children with ASD of the 4 of 8 CNVs were classified as pathogenic, which were 9p24.3p24.2 deletion in 3 Mb size, 15q11-q13 duplication in 6.5 Mb size, 16p11.2 deletion in 598 kb size and 22q13.3 deletion in 55 kb size. According to results has been demonstrated that diagnostic yield of CMA in Turkish children with ASD was 8.5%. Our results indicate that CNVs contribute a part to the genetic aetiology of Turkish children with ASD. In accordance with the literature, these results emphasize the clinical importance of CMA to investigate the aetiology of ASD.

scholarly journals Copy Number Variations in Candidate Genes and Intergenic Regions Affect Body Mass Index and Abdominal Obesity in Mexican Children

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Diana Lizzete Antúnez-Ortiz ◽  
Eugenia Flores-Alfaro ◽  
Ana Isabel Burguete-García ◽  
Amélie Bonnefond ◽  
Jesús Peralta-Romero ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Abdominal Obesity ◽  
Copy Number ◽  
Copy Number Variants ◽  
Copy Number Variations ◽  
Blood Levels ◽  
Mexican Children ◽  
Gradual Process ◽  
Intergenic Regions

Introduction. Increase in body weight is a gradual process that usually begins in childhood and in adolescence as a result of multiple interactions among environmental and genetic factors. This study aimed to analyze the relationship between copy number variants (CNVs) in five genes and four intergenic regions with obesity in Mexican children.Methods. We studied 1423 children aged 6–12 years. Anthropometric measurements and blood levels of biochemical parameters were obtained. Identification of CNVs was performed by real-time PCR. The effect of CNVs on obesity or body composition was assessed using regression models adjusted for age, gender, and family history of obesity.Results. Gains in copy numbers ofLEPRandNEGR1were associated with decreased body mass index (BMI), waist circumference (WC), and risk of abdominal obesity, whereas gain inARHGEF4andCPXCR1and the intergenic regions 12q15c, 15q21.1a, and 22q11.21d and losses inINSwere associated with increased BMI and WC.Conclusion. Our results indicate a possible contribution of CNVs inLEPR,NEGR1,ARHGEF4, andCPXCR1and the intergenic regions 12q15c, 15q21.1a, and 22q11.21d to the development of obesity, particularly abdominal obesity in Mexican children.

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