Koduojančios ir nekoduojančios genomo sekos variantų bei kopijų skaičiaus pokyčių molekulinis ir funkcinis vertinimas

2020 ◽  
Author(s):  
◽  
Evelina Siavrienė
Keyword(s):  
Genome Sequence ◽  
Copy Number ◽  
Copy Number Variants ◽  
Sequence Variants ◽  
Functional Evaluation

A Molecular and Functional Evaluation of Coding and Non-Coding Genome Sequence Variants and Copy Number Variants

scholarly journals Gene discovery and functional assessment of rare copy-number variants in neurodevelopmental disorders

2014 ◽  
Author(s):  
Janani Iyer ◽  
Santhosh Girirajan
Keyword(s):  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
Molecular Genetic ◽  
Copy Number Variants ◽  
Fruit Fly ◽  
Functional Evaluation ◽  
Rare Cnvs ◽  
Molecular Genetic Basis ◽  
Causal Genes ◽  
Genomic Regions

Rare copy-number variants (CNVs) are a significant cause of neurodevelopmental disorders. The sequence architecture of the human genome predisposes certain individuals to deletions and duplications within specific genomic regions. While assessment of individuals with different breakpoints has identified causal genes for certain rare CNVs, deriving gene-phenotype correlations for rare CNVs with similar breakpoints has been challenging. We present a comprehensive review of the literature related to genetic architecture that is predisposed to recurrent rearrangements, and functional evaluation of deletions, duplications, and candidate genes within rare CNV intervals using mouse, zebrafish, and fruit fly models. It is clear that phenotypic assessment and complete genetic evaluation of large cohorts of individuals carrying specific CNVs and functional evaluation using multiple animal models are necessary to understand the molecular genetic basis of neurodevelopmental disorders.

scholarly journals Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Pratibha Bhai ◽  
Michael A. Levy ◽  
Kathleen Rooney ◽  
Deanna Alexis Carere ◽  
Jack Reilly ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Next Generation Sequencing ◽  
Hereditary Cancer ◽  
Copy Number ◽  
Copy Number Variants ◽  
Cancer Predisposition ◽  
Sequence Variants ◽  
Predisposition Genes ◽  
Cancer Syndromes ◽  
Generation Sequencing

BackgroundHereditary cancer predisposition syndromes account for approximately 10% of cancer cases. Next generation sequencing (NGS) based multi-gene targeted panels is now a frontline approach to identify pathogenic mutations in cancer predisposition genes in high-risk families. Recent evolvement of NGS technologies have allowed simultaneous detection of sequence and copy number variants (CNVs) using a single platform. In this study, we have analyzed frequency and nature of sequence variants and CNVs, in a Canadian cohort of patients, suspected with hereditary cancer syndrome, referred for genetic testing following specific genetic testing guidelines based on patient’s personal and/or family history of cancer.MethodsA 2870 patients were subjected to a single NGS based multi-gene targeted hereditary cancer panel testing algorithm to identify sequence variants and CNVs in cancer predisposition genes at our reference laboratory in Southwestern Ontario. CNVs identified by NGS were confirmed by alternative techniques like Multiplex ligation-dependent probe amplification (MLPA).ResultsA 15% (431/2870) patients had a pathogenic variant and 36% (1032/2870) had a variant of unknown significance (VUS), in a cancer susceptibility gene. A total of 287 unique pathogenic variant were identified, out of which 23 (8%) were novel. CNVs identified by NGS based approach accounted for 9.5% (27/287) of pathogenic variants, confirmed by alternate techniques with high accuracy.ConclusionThis study emphasizes the utility of NGS based targeted testing approach to identify both sequence and CNVs in patients suspected with hereditary cancer syndromes in clinical setting and expands the mutational spectrum of high and moderate penetrance cancer predisposition genes.

scholarly journals A weighted burden test using logistic regression for integrated analysis of sequence variants, copy number variants and polygenic risk score

2018 ◽  
Author(s):  
David Curtis
Keyword(s):  
Logistic Regression ◽  
Risk Score ◽  
Principal Components ◽  
Copy Number ◽  
Copy Number Variants ◽  
Integrated Analysis ◽  
Polygenic Risk Score ◽  
Sequence Variants ◽  
Polygenic Risk ◽  
Functional Variants

AbstractPreviously described methods of analysis allow variants in a gene to be weighted more highly according to rarity and/or predicted function and then for the variant contributions to be summed into a gene-wise risk score which can be compared between cases and controls using a t test. However this does not allow incorporating covariates into the analysis. Schizophrenia is an example of an illness where there is evidence that different kinds of genetic variation can contribute to risk, including common variants contributing to a polygenic risk score (PRS), very rare copy number variants (CNVs) and sequence variants. A logistic regression approach has been implemented to compare the gene-wise risk scores between cases and controls while incorporating as covariates population principal components, the PRS and the presence of pathogenic CNVs and sequence variants. A likelihood ratio test is performed comparing the likelihoods of logistic regression models with and without this score. The method was applied to an ethnically heterogeneous exome-sequenced sample of 6000 controls and 5000 schizophrenia cases. In the raw analysis the test statistic is inflated but inclusion of principal components satisfactorily controls for this. In this dataset the inclusion of the PRS and effect from CNVs and sequence variants had only small effects. The set of genes which are FMRP targets showed some evidence for enrichment of rare, functional variants among cases (p=0.0005). This approach can be applied to any disease in which different kinds of genetic and non-genetic risk factors make contributions to risk.

scholarly journals Copy number variants in the sheep genome detected using multiple approaches

2016 ◽  
Author(s):  
Gemma M Jenkins ◽  
Michael E Goddard ◽  
Michael A Black ◽  
Rudiger Brauning ◽  
Benoit Auvray ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Copy Number ◽  
Sequence Data ◽  
Average Length ◽  
Copy Number Variants ◽  
Whole Genome Sequence ◽  
Small Subset ◽  
Whole Genome ◽  
Genome Sequence Data ◽  
Sheep Genome

Background.Copy number variants (CNVs) are a type of polymorphism found to underlie phenotypic variation, both in humans and livestock. Most surveys of CNV in livestock have been conducted in the cattle genome, and often utilise only a single approach for the detection of copy number differences. Here we performed a study of CNV in sheep, using multiple methods to identify and characterise copy number changes. Comprehensive information from small pedigrees (trios) was collected using multiple platforms (array CGH, SNP chip and whole genome sequence data), with these data then analysed via multiple approaches to identify and verify CNVs.Results.In total, 3,488 autosomal CNV regions (CNVRs) were identified in this study, which substantially builds on an initial survey of the sheep genome that identified 135 CNVRs. The average length of the identified CNVRs was 19kb (range of 1kb to 3.6Mb), with shorter CNVRs being more frequent than longer CNVRs. The total length of all CNVRs was 67.6Mbps, which equates to 2.7% of the sheep autosomes. For individuals this value ranged from 0.24 to 0.55%, and the majority of CNVRs were identified in single animals. Rather than being uniformly distributed throughout the genome, CNVRs tended to be clustered. Application of three independent approaches for CNVR detection facilitated a comparison of validation rates. CNVs identified on the Roche-NimbleGen 2.1M CGH array generally had low validation rates with lower density arrays, while whole genome sequence data had the highest validation rate (>60%).Conclusions.This study represents the first comprehensive survey of the distribution, prevalence and characteristics of CNVR in sheep. Multiple approaches were used to detect CNV regions and it appears that the best method for verifying CNVR on a large scale involves using a combination of detection methodologies. The characteristics of the 3,488 autosomal CNV regions identified in this study are comparable to other CNV regions reported in the literature and provide a valuable and sizeable addition to the small subset of published sheep CNVs.

scholarly journals High confidence copy number variants identified in Holstein dairy cattle from whole genome sequence and genotype array data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Adrien M. Butty ◽  
Tatiane C. S. Chud ◽  
Filippo Miglior ◽  
Flavio S. Schenkel ◽  
Arun Kommadath ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Genome Sequence ◽  
Copy Number ◽  
Copy Number Variants ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
High Confidence ◽  
Array Data ◽  
Genotype Array

Understanding Schizophrenia: Genetic Causes and Treatment

2019 ◽  
Vol 1 (1) ◽  
pp. 6-12
Author(s):  
Fatima Javeria ◽  
Shazma Altaf ◽  
Alishah Zair ◽  
Rana Khalid Iqbal
Keyword(s):  
Copy Number ◽  
Drug Targets ◽  
Disease Risk ◽  
Mental Disease ◽  
Copy Number Variants ◽  
Aminobutyric Acid ◽  
Epigenetic Mechanisms ◽  
Gamma Aminobutyric Acid ◽  
Wide Range ◽  
Severe Mental Disease

Schizophrenia is a severe mental disease. The word schizophrenia literally means split mind. There are three major categories of symptoms which include positive, negative and cognitive symptoms. The disease is characterized by symptoms of hallucination, delusions, disorganized thinking and speech. Schizophrenia is related to many other mental and psychological problems like suicide, depression, hallucinations. Including these, it is also a problem for the patient’s family and the caregiver. There is no clear reason for the disease, but with the advances in molecular genetics; certain epigenetic mechanisms are involved in the pathophysiology of the disease. Epigenetic mechanisms that are mainly involved are the DNA methylation, copy number variants. With the advent of GWAS, a wide range of SNPs is found linked with the etiology of schizophrenia. These SNPs serve as ‘hubs’; because these all are integrating with each other in causing of schizophrenia risk. Until recently, there is no treatment available to cure the disease; but anti-psychotics can reduce the disease risk by minimizing its symptoms. Dopamine, serotonin, gamma-aminobutyric acid, are the neurotransmitters which serve as drug targets in the treatment of schizophrenia. Due to the involvement of genetic and epigenetic mechanisms, drugs available are already targeting certain genes involved in the etiology of the disease.

0306 Exploring the feasibility of using copy number variants as genetic markers through large-scale whole genome sequencing experiments

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 146-146
Author(s):  
D. M. Bickhart ◽  
L. Xu ◽  
J. L. Hutchison ◽  
J. B. Cole ◽  
D. J. Null ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genetic Markers ◽  
Genome Sequencing ◽  
Copy Number ◽  
Large Scale ◽  
Copy Number Variants ◽  
Whole Genome
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