scholarly journals Copy Number Variation of UGT 2B Genes in Indian Families Using Whole Genome Scans

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Avinash M. Veerappa ◽  
Prakash Padakannaya ◽  
Nallur B. Ramachandra
Keyword(s):  
Copy Number ◽  
Gene Deletion ◽  
Indian Population ◽  
Snp Array ◽  
Copy Number Variations ◽  
Genome Scans ◽  
Genome Wide ◽  
Disease Associations ◽  
Number Variation

Background and Objectives. Uridine diphospho-glucuronosyltransferase 2B (UGT2B) is a family of genes involved in metabolizing steroid hormones and several other xenobiotics. These UGT2B genes are highly polymorphic in nature and have distinct polymorphisms associated with specific regions around the globe. Copy number variations (CNVs) status of UGT2B17 in Indian population is not known and their disease associations have been inconclusive. It was therefore of interest to investigate the CNV profile of UGT2B genes.Methods. We investigated the presence of CNVs in UGT2B genes in 31 members from eight Indian families using Affymetrix Genome-Wide Human SNP Array 6.0 chip.Results. Our data revealed >50% of the study members carried CNVs in UGT2B genes, of which 76% showed deletion polymorphism. CNVs were observed more in UGT2B17 (76.4%) than in UGT2B15 (17.6%). Molecular network and pathway analysis found enrichment related to steroid metabolic process, carboxylesterase activity, and sequence specific DNA binding.Interpretation and Conclusion. We report the presence of UGT2B gene deletion and duplication polymorphisms in Indian families. Network analysis indicates the substitutive role of other possible genes in the UGT activity. The CNVs of UGT2B genes are very common in individuals indicating that the effect is neutral in causing any suspected diseases.

scholarly journals Copy number variation analysis in Chinese children with complete atrioventricular canal and single ventricle

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Xingyu Zhang ◽  
Bo Wang ◽  
Guoling You ◽  
Ying Xiang ◽  
Qihua Fu ◽  
...  
Keyword(s):  
Copy Number ◽  
Trisomy 21 ◽  
Single Ventricle ◽  
Snp Array ◽  
Copy Number Variations ◽  
Chinese Children ◽  
Atrioventricular Canal ◽  
Genome Wide ◽  
Number Variation ◽  
Complete Atrioventricular

Abstract Background Congenital heart disease (CHD) is one of the most common birth defects. Copy number variations (CNVs) have been proved to be important genetic factors that contribute to CHD. Here we screened genome-wide CNVs in Chinese children with complete atrioventricular canal (CAVC) and single ventricle (SV), since there were scarce researches dedicated to these two types of CHD. Methods We screened CNVs in 262 sporadic CAVC cases and 259 sporadic SV cases respectively, using a customized SNP array. The detected CNVs were annotated and filtered using available databases. Results Among 262 CAVC patients, we identified 6 potentially-causative CNVs in 43 individuals (16.41%, 43/262), including 2 syndrome-related CNVs (7q11.23 and 8q24.3 deletion). Surprisingly, 90.70% CAVC patients with detected CNVs (39/43) were found to carry duplications of 21q11.2–21q22.3, which were recognized as trisomy 21 (Down syndrome, DS). In CAVC with DS patients, the female to male ratio was 1.6:1.0 (24:15), and the rate of pulmonary hypertension (PH) was 41.03% (16/39). Additionally, 6 potentially-causative CNVs were identified in the SV patients (2.32%, 6/259), and none of them was trisomy 21. Most CNVs identified in our cohort were classified as rare (< 1%), occurring just once among CAVC or SV individuals except the 21q11.2–21q22.3 duplication (14.89%) in CAVC cohort. Conclusions Our study identified 12 potentially-causative CNVs in 262 CAVC and 259 SV patients, representing the largest cohort of these two CHD types in Chinese population. The results provided strong correlation between CAVC and DS, which also showed sex difference and high incidence of PH. The presence of potentially-causative CNVs suggests the etiology of complex CHD is incredibly diverse, and CHD candidate genes remain to be discovered.

Rapid Diagnosis of Imprinting Disorders Involving Copy Number Variation and Uniparental Disomy Using Genome-Wide SNP Microarrays

2015 ◽  
Vol 146 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Weiqiang Liu ◽  
Rui Zhang ◽  
Jun Wei ◽  
Huimin Zhang ◽  
Guojiu Yu ◽  
...  
Keyword(s):  
Copy Number ◽  
Snp Array ◽  
Uniparental Disomy ◽  
Copy Number Variations ◽  
Chromosomal Microarray ◽  
Chromosomal Microarray Analysis ◽  
Imprinting Disorders ◽  
Genome Wide ◽  
Number Variation ◽  
Efficient Alternative

Imprinting disorders, such as Beckwith-Wiedemann syndrome (BWS), Prader-Willi syndrome (PWS) and Angelman syndrome (AS), can be detected via methylation analysis, methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA), or other methods. In this study, we applied single nucleotide polymorphism (SNP)-based chromosomal microarray analysis to detect copy number variations (CNVs) and uniparental disomy (UPD) events in patients with suspected imprinting disorders. Of 4 patients, 2 had a 5.25-Mb microdeletion in the 15q11.2q13.2 region, 1 had a 38.4-Mb mosaic UPD in the 11p15.4 region, and 1 had a 60-Mb detectable UPD between regions 14q13.2 and 14q32.13. Although the 14q32.2 region was classified as normal by SNP array for the 14q13 UPD patient, it turned out to be a heterodisomic UPD by short tandem repeat marker analysis. MS-MLPA analysis was performed to validate the variations. In conclusion, SNP-based microarray is an efficient alternative method for quickly and precisely diagnosing PWS, AS, BWS, and other imprinted gene-associated disorders when considering aberrations due to CNVs and most types of UPD.

scholarly journals Genetics in schizophrenia: where are we and what next?

2010 ◽  
Vol 12 (3) ◽  
pp. 289-303
Keyword(s):  
Copy Number ◽  
Association Studies ◽  
Molecular Genetic ◽  
Copy Number Variations ◽  
Future Research ◽  
Genome Wide Association Studies ◽  
Genetic Studies ◽  
Genome Wide ◽  
Number Variation

Understanding the genetic basis of schizophrenia continues to be major challenge. The research done during the last two decades has provided several candidate genes which unfortunately have not been consistently replicated across or within a population. The recent genome-wide association studies (GWAS) and copy number variation (CNV) studies have provided important evidence suggesting a role of both common and rare large CNVs in schizophrenia genesis. The burden of rare copy number variations appears to be increased in schizophrenia patients. A consistent observation among the GWAS studies is the association with schizophrenia of genetic markers in the major histocompatibility complex (6p22.1)-containing genes including NOTCH4 and histone protein loci. Molecular genetic studies are also demonstrating that there is more overlap between the susceptibility genes for schizophrenia and bipolar disorder than previously suspected. In this review we summarize the major findings of the past decade and suggest areas of future research.

scholarly journals Genome-Wide Analysis of Copy Number Variations in Normal Population Identified by SNP Arrays

2009 ◽  
Vol 2 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Jian Wang ◽  
Tsz-Kwong Man ◽  
Kwong Kwok Wong ◽  
Pulivarthi H. Rao ◽  
Hon-Chiu Eastwood Leung ◽  
...  
Keyword(s):  
Copy Number Variation ◽  
Human Genome ◽  
Copy Number ◽  
Repetitive Sequences ◽  
Snp Array ◽  
Copy Number Variations ◽  
Gene Copy ◽  
Chemical Stimulus ◽  
Genome Wide ◽  
Number Variation

Gene copy number change is an essential characteristic of many types of cancer. However, it is important to distinguish copy number variation (CNV) in the human genome of normal individuals from bona fide abnormal copy number changes of genes specific to cancers. Based on Affymetrix 50K single nucleotide polymorphism (SNP) array data, we identified genome-wide copy number variations among 104 normal subjects from three ethnic groups that were used in the HapMap project. Our analysis revealed 155 CNV regions, of which 37% were gains and 63% were losses. About 21% (30) of the CNV regions are concordant with earlier reports. These 155 CNV regions are located on more than 100 cytobands across all 23 chromosomes. The CNVs range from 68bp to 18 Mb in length, with a median length of 86 Kb. Eight CNV regions were selected for validation by quantitative PCR. Analysis of genomic sequences within and adjacent to CNVs suggests that repetitive sequences such as long interspersed nuclear elements (LINEs) and long terminal repeats (LTRs) may play a role in the origin of CNVs by facilitating non-allelic homologous recombination. Thirty-two percent of the CNVs identified in this study are associated with segmental duplications. CNVs were not preferentially enriched in gene-encoding regions. Among the 364 genes that are completely encompassed by these 155 CNVs, genes related to olfactory sensory, chemical stimulus, and other physiological responses are significantly enriched. A statistical analysis of CNVs by ethnic group revealed distinct patterns regarding the CNV location and gain-to-loss ratio. The CNVs reported here will help build a more comprehensive map of genomic variations in the human genome and facilitate the differentiation between copy number variation and somatic changes in cancers. The potential roles of certain repeat elements in CNV formation, as corroborated by other studies, shed light on the origin of CNVs and will improve our understanding of the mechanisms of genomic rearrangements in the human genome.

scholarly journals Genome-wide analysis of the role of copy-number variation in pancreatic cancer risk

2014 ◽  
Vol 5 ◽  
Author(s):  
Jason A. Willis ◽  
Semanti Mukherjee ◽  
Irene Orlow ◽  
Agnes Viale ◽  
Kenneth Offit ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cancer Risk ◽  
Copy Number Variation ◽  
Copy Number ◽  
Genome Wide Analysis ◽  
Pancreatic Cancer Risk ◽  
Genome Wide ◽  
Number Variation

scholarly journals Copy number variation profile-based genomic subtyping of premenstrual dysphoric disorder in Chinese

2021 ◽  
Author(s):  
Hong Xue ◽  
Zhenggang Wu ◽  
Xi Long ◽  
Ata Ullah ◽  
Si Chen ◽  
...  
Keyword(s):  
Copy Number ◽  
Complex Disease ◽  
White Blood Cells ◽  
Premenstrual Dysphoric Disorder ◽  
Copy Number Variations ◽  
Reproductive Age ◽  
Genome Wide ◽  
Number Variation ◽  
Type V ◽  
Depression Subtypes

AbstractPremenstrual dysphoric disorder (PMDD) affects nearly 5% women of reproductive age. The symptomatic heterogeneity, along with largely unknown genetics, of PMDD have greatly hindered its effective treatment. In the present study, 127 Chinese PMDD patients of the ‘invasion’ and ‘depression’ subtypes clinically differentiated by us earlier were analyzed together with 108 non-PMDD controls for genome-wide copy number variations (CNVs). Germline genomic DNA samples from white blood cells were subjected to AluScan sequencing-based CNV profiling, which enabled clustering of patient samples readily into the V and D groups, dominated by the “invasion” and “depression” clinical subtypes, respectively; the CNVs obtained with 100-kb windows yielded two clusters that were correlated with these subtypes with a consistency of up to 89.8%. Diagnostic correlation- and frequency-based CNV features of either CNV-gain (CNVG) or CNV-loss (CNVL) that could differentiate between V and D subtypes were selected and analyzed. CNVG features located preferentially in S2-phase replicating regions and enriched with steroid hormone biosynthesis pathway of genes were found protective against PMDD. Moreover, machine learning employing the correlation-based CNV features could predict with >80% accuracy whether a genomic sample was D-type, V-type or control. In terms of their CNV profiles, the D- and V-types differed more from one another than from the controls, thereby providing a genomic basis for the clinical D-V subtyping of PMDD. Genome-wide profiling of CNVs, as a new approach to complex disease genetics, has revealed recurrent CNVs and genomic features beyond individual genes and mutations underlying PMDD clinical diversity.

scholarly journals Identification of Copy Number Variation Among Nonsyndromic Cleft Lip and or Without Cleft Palate With Hypodontia: A Genome-Wide Association Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Norliana Ghazali ◽  
Normastura Abd Rahman ◽  
Azlina Ahmad ◽  
Sarina Sulong ◽  
Thirumulu Ponnuraj Kannan
Keyword(s):  
Copy Number Variation ◽  
Cleft Palate ◽  
Copy Number ◽  
Cleft Lip ◽  
Genome Wide Association Study ◽  
Quantitative Polymerase Chain Reaction ◽  
Copy Number Variations ◽  
Genome Wide ◽  
A Genome ◽  
Number Variation

Nonsyndromic cleft lip and or without cleft palate (NSCL/P) with the hypodontia is a common developmental abnormality in humans and animals. This study identified the genetic aberration involved in both NSCL/P and hypodontia pathogenesis. A cross-sectional study using genome-wide study copy number variation-targeted CytoScan 750K array carried out on salivary samples from 61 NSCL/P and 20 noncleft with and without hypodontia Malay subjects aged 7–13 years old. Copy number variations (CNVs) of SKI and fragile histidine triad (FHIT) were identified in NSCL/P and noncleft children using quantitative polymerase chain reaction (qPCR) as a validation analysis. Copy number calculated (CNC) for each gene determined with Applied Biosystems CopyCaller Software v2.0. The six significant CNVs included gains (12q14.3, 15q26.3, 1p36.32, and 1p36.33) and losses (3p14.2 and 4q13.2) in NSCL/P with hypodontia patients compared with the NSCL/P only. The genes located in these regions encoded LEMD3, IGF1R, TP73, SKI, FHIT, and UGT2β15. There were a significant gain and loss of both SKI and FHIT copy number in NSCL/P with hypodontia compared with the noncleft group (p &lt; 0.05). The results supported that CNVs significantly furnish to the development of NSCL/P with hypodontia.

scholarly journals Copy-number variation contributes 9% of pathogenicity in the inherited retinal degenerations

2019 ◽  
Author(s):  
Erin Zampaglione ◽  
Benyam Kinde ◽  
Emily M. Place ◽  
Daniel Navarro-Gomez ◽  
Matthew Maher ◽  
...  
Keyword(s):  
Copy Number ◽  
Snp Array ◽  
Copy Number Variations ◽  
Detection Methods ◽  
Single Nucleotide Variants ◽  
Targeted Next Generation Sequencing ◽  
Small Indels ◽  
Pathogenic Variants ◽  
Number Variation ◽  
Cnv Detection

ABSTRACTPurposeCurrent sequencing strategies can genetically solve 55-60% of inherited retinal degeneration (IRD) cases, despite recent progress in sequencing. This can partially be attributed to elusive pathogenic variants (PVs) in known IRD genes, including copy number variations (CNVs), which we believe are a major contributor to unsolved IRD cases.MethodsFive hundred IRD patients were analyzed with targeted next generation sequencing (NGS). The NGS data was used to detect CNVs with ExomeDepth and gCNV and the results were compared to CNV detection with a SNP-Array. Likely causal CNV predictions were validated by quantitative (q)PCR.ResultsLikely disease-causing single nucleotide variants (SNVs) and small indels were found in 55.8% of subjects. PVs in USH2A (11.6%), RPGR (4%) and EYS (4%) were the most common. Likely causal CNVs were found in an additional 8.8% of patients. Of the three CNV detection methods, gCNV showed the highest accuracy. Approximately 30% of unsolved subjects had a single likely PV in a recessive IRD gene.ConclusionsCNV detection using NGS-based algorithms is a reliable method that greatly increases the genetic diagnostic rate of IRDs. Experimentally validating CNVs helps estimate the rate at which IRDs might be solved by a CNV plus a more elusive variant.

Genome-wide Analysis of the Role of Copy Number Variation in Schizophrenia Risk in Chinese

2016 ◽  
Vol 80 (4) ◽  
pp. 331-337 ◽  
Author(s):  
Zhiqiang Li ◽  
Jianhua Chen ◽  
Yifeng Xu ◽  
Qizhong Yi ◽  
Weidong Ji ◽  
...  
Keyword(s):  
Copy Number Variation ◽  
Copy Number ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Number Variation

scholarly journals The population genetics of adaptation through copy-number variation in a fungal plant pathogen

2021 ◽  
Author(s):  
Luzia Stalder ◽  
Ursula Oggenfuss ◽  
Norfarhan Mohd-Assaad ◽  
Daniel Croll
Keyword(s):  
Copy Number Variation ◽  
Fungal Pathogen ◽  
Copy Number ◽  
Copy Number Variations ◽  
Temperature Adaptation ◽  
Gene Copy ◽  
Gene Duplications ◽  
Genome Wide ◽  
A Genome ◽  
Number Variation

ABSTRACTMicrobial pathogens can rapidly adapt to changing environments such as the application of pesticides or host resistance. Copy number variations (CNV) are a major source of adaptive genetic variation for recent adaptation. Here, we analyze how a major fungal pathogen of barley, Rhynchosporium commune, has adapted to host environment, fungicide and temperature challenges. We screen the genomes of 126 isolates sampled across a worldwide set of populations and identify a total of 7’879 gene duplications and 116 gene deletions. Most gene duplications result from segmental chromosomal duplications. We find that genes showing recent gains or losses are enriched in functions related to host exploitation (i.e. effectors and cell wall degrading enzymes). We perform a phylogeny-informed genome-wide association study (GWAS) and identify 191 copy-number variants associated with different pathogenesis and temperature related traits, including a large segmental duplication of CYP51A that has contributed to the emergence of azole resistance. Additionally, we use a genome-wide SNP dataset to replicate the GWAS and contrast it with the CNV-focused analysis. We find that frequencies of adaptive CNV alleles show high variation among populations for traits under strong selection such as fungicide resistance. In contrast, adaptive CNV alleles underpinning temperature adaptation tend to be near fixation. Finally, we show that transposable elements are important drivers of recent gene copy-number variation. Loci showing signatures of recent positive selection are enriched in miniature inverted repeat transposons. Our findings show how extensive segmental duplications create the raw material for recent adaptation in global populations of a fungal pathogen.

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