scholarly journals Fetal fraction amplification within NIPS enables detection of clinically relevant genome-wide copy-number-variants to 1Mb resolution

2022 ◽  
Vol 226 (1) ◽  
pp. S433
Author(s):  
Ashley Acevedo ◽  
Samuel Cox ◽  
Heather LaBreche ◽  
Maria Alfaro ◽  
Summer Pierson ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Genome Wide ◽  
Fetal Fraction

scholarly journals Detection and characterization of copy number variants based on whole-genome sequencing by DNBSEQ platforms

2019 ◽  
Author(s):  
Junhua Rao ◽  
Lihua Peng ◽  
Fang Chen ◽  
Hui Jiang ◽  
Chunyu Geng ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Copy Number ◽  
Copy Number Variants ◽  
Copy Number Variant ◽  
Whole Genome ◽  
Genome Wide ◽  
Wide Range ◽  
Distribution Sensitivity ◽  
Cnv Detection

AbstractBackgroundNext-generation sequence (NGS) has rapidly developed in past years which makes whole-genome sequencing (WGS) becoming a more cost- and time-efficient choice in wide range of biological researches. We usually focus on some variant detection via WGS data, such as detection of single nucleotide polymorphism (SNP), insertion and deletion (Indel) and copy number variant (CNV), which playing an important role in many human diseases. However, the feasibility of CNV detection based on WGS by DNBSEQ™ platforms was unclear. We systematically analysed the genome-wide CNV detection power of DNBSEQ™ platforms and Illumina platforms on NA12878 with five commonly used tools, respectively.ResultsDNBSEQ™ platforms showed stable ability to detect slighter more CNVs on genome-wide (average 1.24-fold than Illumina platforms). Then, CNVs based on DNBSEQ™ platforms and Illumina platforms were evaluated with two public benchmarks of NA12878, respectively. DNBSEQ™ and Illumina platforms showed similar sensitivities and precisions on both two benchmarks. Further, the difference between tools for CNV detection was analyzed, and indicated the selection of tool for CNV detection could affected the CNV performance, such as count, distribution, sensitivity and precision.ConclusionThe major contribution of this paper is providing a comprehensive guide for CNV detection based on WGS by DNBSEQ™ platforms for the first time.

scholarly journals RefCNV: Identification of Gene-Based Copy Number Variants Using Whole Exome Sequencing

2016 ◽  
Vol 15 ◽  
pp. CIN.S36612 ◽  
Author(s):  
Lun-Ching Chang ◽  
Biswajit Das ◽  
Chih-Jian Lih ◽  
Han Si ◽  
Corinne E. Camalier ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Copy Number ◽  
Copy Number Variants ◽  
Estimation Methods ◽  
Single Nucleotide Variants ◽  
False Positive Error ◽  
Reference Set ◽  
Genome Wide ◽  
Whole Exome

With rapid advances in DNA sequencing technologies, whole exome sequencing (WES) has become a popular approach for detecting somatic mutations in oncology studies. The initial intent of WES was to characterize single nucleotide variants, but it was observed that the number of sequencing reads that mapped to a genomic region correlated with the DNA copy number variants (CNVs). We propose a method RefCNV that uses a reference set to estimate the distribution of the coverage for each exon. The construction of the reference set includes an evaluation of the sources of variability in the coverage distribution. We observed that the processing steps had an impact on the coverage distribution. For each exon, we compared the observed coverage with the expected normal coverage. Thresholds for determining CNVs were selected to control the false-positive error rate. RefCNV prediction correlated significantly ( r = 0.96–0.86) with CNV measured by digital polymerase chain reaction for MET (7q31), EGFR (7p12), or ERBB2 (17q12) in 13 tumor cell lines. The genome-wide CNV analysis showed a good overall correlation (Spearman's coefficient = 0.82) between RefCNV estimation and publicly available CNV data in Cancer Cell Line Encyclopedia. RefCNV also showed better performance than three other CNV estimation methods in genome-wide CNV analysis.

scholarly journals Genome-wide survey implicates the influence of copy number variants (CNVs) in the development of early-onset bipolar disorder

2011 ◽  
Vol 17 (4) ◽  
pp. 421-432 ◽  
Author(s):  
L Priebe ◽  
F A Degenhardt ◽  
S Herms ◽  
B Haenisch ◽  
M Mattheisen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Early Onset ◽  
Copy Number ◽  
Copy Number Variants ◽  
Genome Wide ◽  
Genome Wide Survey

scholarly journals A genome-wide study shows a limited contribution of rare copy number variants to Alzheimer's disease risk

2012 ◽  
Vol 22 (4) ◽  
pp. 816-824 ◽  
Author(s):  
Jade Chapman ◽  
Elliott Rees ◽  
Denise Harold ◽  
Dobril Ivanov ◽  
Amy Gerrish ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Copy Number ◽  
Disease Risk ◽  
Copy Number Variants ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Study

scholarly journals Genome-wide analysis of copy number variants in age-related macular degeneration

2010 ◽  
Vol 129 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Kacie J. Meyer ◽  
Lea K. Davis ◽  
Emily I. Schindler ◽  
John S. Beck ◽  
Danielle S. Rudd ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Copy Number ◽  
Copy Number Variants ◽  
Age Related Macular Degeneration ◽  
Genome Wide Analysis ◽  
Age Related ◽  
Genome Wide

scholarly journals Phased Genotyping-by-Sequencing Enhances Analysis of Genetic Diversity and Reveals Divergent Copy Number Variants in Maize

2017 ◽  
Vol 7 (7) ◽  
pp. 2161-2170 ◽  
Author(s):  
Heather Manching ◽  
Subhajit Sengupta ◽  
Keith R Hopper ◽  
Shawn W Polson ◽  
Yuan Ji ◽  
...  
Keyword(s):  
Copy Number ◽  
High Throughput Sequencing ◽  
Copy Number Variants ◽  
Genotyping By Sequencing ◽  
Genomic Libraries ◽  
Reduced Representation ◽  
Large Samples ◽  
Snp Data ◽  
Genome Wide ◽  
Missing Data Problem

Abstract High-throughput sequencing (HTS) of reduced representation genomic libraries has ushered in an era of genotyping-by-sequencing (GBS), where genome-wide genotype data can be obtained for nearly any species. However, there remains a need for imputation-free GBS methods for genotyping large samples taken from heterogeneous populations of heterozygous individuals. This requires that a number of issues encountered with GBS be considered, including the sequencing of nonoverlapping sets of loci across multiple GBS libraries, a common missing data problem that results in low call rates for markers per individual, and a tendency for applicability only in inbred line samples with sufficient linkage disequilibrium for accurate imputation. We addressed these issues while developing and validating a new, comprehensive platform for GBS. This study supports the notion that GBS can be tailored to particular aims, and using Zea mays our results indicate that large samples of unknown pedigree can be genotyped to obtain complete and accurate GBS data. Optimizing size selection to sequence a high proportion of shared loci among individuals in different libraries and using simple in silico filters, a GBS procedure was established that produces high call rates per marker (>85%) with accuracy exceeding 99.4%. Furthermore, by capitalizing on the sequence-read structure of GBS data (stacks of reads), a new tool for resolving local haplotypes and scoring phased genotypes was developed, a feature that is not available in many GBS pipelines. Using local haplotypes reduces the marker dimensionality of the genotype matrix while increasing the informativeness of the data. Phased GBS in maize also revealed the existence of reproducibly inaccurate (apparent accuracy) genotypes that were due to divergent copy number variants (CNVs) unobservable in the underlying single nucleotide polymorphism (SNP) data.

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