scholarly journals Comparison of Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) in Limited DNA Sequencing Based on Tube and Droplet

Micromachines ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 645
Author(s):  
Xiaoxiang Zhou ◽  
Ying Xu ◽  
Libo Zhu ◽  
Zhen Su ◽  
Xiaoming Han ◽  
...  
Keyword(s):  
Single Molecule ◽  
Multiple Displacement Amplification ◽  
Genomic Alteration ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Single Molecule Level ◽  
Amplification Bias ◽  
Advantages And Disadvantages ◽  
Droplet Method

Whole genome amplification (WGA) is crucial for whole genome sequencing to investigate complex genomic alteration at the single-cell or even single-molecule level. Multiple displacement amplification (MDA) and multiple annealing and looping based amplification cycles (MALBAC) are two most widely applied WGA methods, which have different advantages and disadvantages, dependent on research objectives. Herein, we compared the MDA and MALBAC to provide more information on their performance in droplets and tubes. We observed that the droplet method could dramatically reduce the amplification bias and retain the high accuracy of replication than the conventional tube method. Furthermore, the droplet method exhibited higher efficiency and sensitivity for both homozygous and heterozygous single nucleotide variants (SNVs) at the low sequencing depth. In addition, we also found that MALBAC offered a greater uniformity and reproducibility and MDA showed a better efficiency of genomic coverage and SNV detection. Our results provided insights that will allow future decision making.

scholarly journals Longshot: accurate variant calling in diploid genomes using single-molecule long read sequencing

2019 ◽  
Author(s):  
Peter Edge ◽  
Vikas Bansal
Keyword(s):  
Single Molecule ◽  
Variant Calling ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Short Reads ◽  
Pacific Biosciences ◽  
Sequencing Technologies ◽  
Accurate Detection ◽  
Oxford Nanopore

AbstractShort-read sequencing technologies such as Illumina enable the accurate detection of single nucleotide variants (SNVs) and short insertion/deletion variants in human genomes but are unable to provide information about haplotypes and variants in repetitive regions of the genome. Single-molecule sequencing technologies such as Pacific Biosciences and Oxford Nanopore generate long reads (≥ 10 kb in length) that can potentially address these limitations of short reads. However, the high error rate of SMS reads makes it challenging to detect small-scale variants in diploid genomes. We introduce a variant calling method, Longshot, that leverages the haplotype information present in SMS reads to enable the accurate detection and phasing of single nucleotide variants in diploid genomes. Using whole-genome Pacific Biosciences data for multiple human individuals, we demonstrate that Longshot achieves very high accuracy for SNV detection (precision ≥0.992 and recall ≥0.96) that is significantly better than existing variant calling methods. Longshot can also call SNVs with good accuracy using whole-genome Oxford Nanopore data. Finally, we demonstrate that it enables the discovery of variants in duplicated regions of the genome that cannot be mapped using short reads. Longshot is freely available at https://github.com/pjedge/longshot.

scholarly journals Accurate detection of subclonal single nucleotide variants in whole genome amplified and pooled cancer samples using HaloPlex target enrichment

BMC Genomics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 856 ◽  
Author(s):  
Eva C Berglund ◽  
Carl Lindqvist ◽  
Shahina Hayat ◽  
Elin Övernäs ◽  
Niklas Henriksson ◽  
...  
Keyword(s):  
Whole Genome ◽  
Target Enrichment ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Accurate Detection

scholarly journals Implications of Genetic Distance to Reference and De Novo Genome Assembly for Clinical Genomics in Africans

2020 ◽  
Author(s):  
Daniel Shriner ◽  
Adebowale Adeyemo ◽  
Charles Rotimi
Keyword(s):  
Genetic Distance ◽  
De Novo ◽  
Reference Sequence ◽  
Sequencing Data ◽  
Single Nucleotide Variants ◽  
De Novo Genome Assembly ◽  
Single Nucleotide ◽  
Clinical Genomics ◽  
Advantages And Disadvantages ◽  
False Discovery

In clinical genomics, variant calling from short-read sequencing data typically relies on a pan-genomic, universal human reference sequence. A major limitation of this approach is that the number of reads that incorrectly map or fail to map increase as the reads diverge from the reference sequence. In the context of genome sequencing of genetically diverse Africans, we investigate the advantages and disadvantages of using a de novo assembly of the read data as the reference sequence in single sample calling. Conditional on sufficient read depth, the alignment-based and assembly-based approaches yielded comparable sensitivity and false discovery rates for single nucleotide variants when benchmarked against a gold standard call set. The alignment-based approach yielded coverage of an additional 270.8 Mb over which sensitivity was lower and the false discovery rate was higher. Although both approaches detected and missed clinically relevant variants, the assembly-based approach identified more such variants than the alignment-based approach. Of particular relevance to individuals of African descent, the assembly-based approach identified four heterozygous genotypes containing the sickle allele whereas the alignment-based approach identified no occurrences of the sickle allele. Variant annotation using dbSNP and gnomAD identified systematic biases in these databases due to underrepresentation of Africans. Using the counts of homozygous alternate genotypes from the alignment-based approach as a measure of genetic distance to the reference sequence GRCh38.p12, we found that the numbers of misassemblies, total variant sites, potentially novel single nucleotide variants (SNVs), and certain variant classes (e.g., splice acceptor variants, stop loss variants, missense variants, synonymous variants, and variants absent from gnomAD) were significantly correlated with genetic distance. In contrast, genomic coverage and other variant classes (e.g., ClinVar pathogenic or likely pathogenic variants, start loss variants, stop gain variants, splice donor variants, incomplete terminal codons, variants with CADD score ≥20) were not correlated with genetic distance. With improvement in coverage, the assembly-based approach can offer a viable alternative to the alignment-based approach, with the advantage that it can obviate the need to generate diverse human reference sequences or collections of alternate scaffolds.

scholarly journals Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

2018 ◽  
Author(s):  
Maxime Garcia ◽  
Szilveszter Juhos ◽  
Malin Larsson ◽  
Pall I. Olason ◽  
Marcel Martin ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Open Source ◽  
Genome Sequencing ◽  
Development Project ◽  
Whole Genome ◽  
Sequencing Analysis ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Insertion And Deletion ◽  
Sample Heterogeneity

AbstractSummaryWhole-genome sequencing (WGS) is a cornerstone of precision medicine, but portable and reproducible open-source workflows for WGS analyses of germline and somatic variants are lacking. We present Sarek, a modular, comprehensive, and easy-to-install workflow, combining a range of software for the identification and annotation of single-nucleotide variants (SNVs), insertion and deletion variants (indels), structural variants, tumor sample heterogeneity, and karyotyping from germline or paired tumor/normal samples. Sarek is implemented in a bioinformatics workflow language (Nextflow) with Docker and Singularity compatible containers, ensuring easy deployment and full reproducibility at any Linux based compute cluster or cloud computing environment. Sarek supports the human reference genomes GRCh37 and GRCh38, and can readily be used both as a core production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups.AvailabilitySource code and instructions for local installation are available at GitHub (https://github.com/SciLifeLab/Sarek) under the MIT open-source license, and we invite the research community to contribute additional functionality as a collaborative open-source development project.

scholarly journals Single-molecule detection of deoxyribonucleoside triphosphates in microdroplets

2019 ◽  
Vol 47 (17) ◽  
pp. e101-e101 ◽  
Author(s):  
Boris Breiner ◽  
Kerr Johnson ◽  
Magdalena Stolarek ◽  
Ana-Luisa Silva ◽  
Aurel Negrea ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Single Molecule ◽  
Dna Polymerases ◽  
Single Molecule Detection ◽  
Synthesis Methods ◽  
Single Nucleotide ◽  
New Approach ◽  
Fluorescent Signal ◽  
Single Molecule Level ◽  
Current Sequence

AbstractA new approach to single-molecule DNA sequencing in which dNTPs, released by pyrophosphorolysis from the strand to be sequenced, are captured in microdroplets and read directly could have substantial advantages over current sequence-by-synthesis methods; however, there is no existing method sensitive enough to detect a single nucleotide in a microdroplet. We have developed a method for dNTP detection based on an enzymatic two-stage reaction which produces a robust fluorescent signal that is easy to detect and process. By taking advantage of the inherent specificity of DNA polymerases and ligases, coupled with volume restriction in microdroplets, this method allows us to simultaneously detect the presence of and distinguish between, the four natural dNTPs at the single-molecule level, with negligible cross-talk.

scholarly journals Bottom-up single-molecule strategy for understanding subunit function of tetrameric β-galactosidase

2018 ◽  
Vol 115 (33) ◽  
pp. 8346-8351 ◽  
Author(s):  
Xiang Li ◽  
Yu Jiang ◽  
Shaorong Chong ◽  
David R. Walt
Keyword(s):  
Single Molecule ◽  
Wild Type ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Single Molecule Level ◽  
Subunit Function ◽  
Enzyme Molecules ◽  
Individual Enzyme ◽  
Kinetics Of

In this paper, we report an example of the engineered expression of tetrameric β-galactosidase (β-gal) containing varying numbers of active monomers. Specifically, by combining wild-type and single-nucleotide polymorphism plasmids at varying ratios, tetrameric β-gal was expressed in vitro with one to four active monomers. The kinetics of individual enzyme molecules revealed four distinct populations, corresponding to the number of active monomers in the enzyme. Using single-molecule-level enzyme kinetics, we were able to measure an accurate in vitro mistranslation frequency (5.8 × 10−4 per base). In addition, we studied the kinetics of the mistranslated β-gal at the single-molecule level.

scholarly journals Integration of single nucleotide variants and whole-genome DNA methylation profiles for classification of rheumatoid arthritis cases from controls

Heredity ◽  
2020 ◽  
Vol 124 (5) ◽  
pp. 658-674 ◽  
Author(s):  
Mahmoud Amiri Roudbar ◽  
Mohammad Reza Mohammadabadi ◽  
Ahmad Ayatollahi Mehrgardi ◽  
Rostam Abdollahi-Arpanahi ◽  
Mehdi Momen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Dna Methylation ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Single Nucleotide

scholarly journals Genome aging: somatic mutation in the brain links age-related decline with disease and nominates pathogenic mechanisms

2019 ◽  
Vol 28 (R2) ◽  
pp. R197-R206 ◽  
Author(s):  
Michael A Lodato ◽  
Christopher A Walsh
Keyword(s):  
Human Brain ◽  
Somatic Mutation ◽  
Somatic Mutations ◽  
Late Onset ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Age Related ◽  
The Brain ◽  
Over Time

AbstractAging is a mysterious process, not only controlled genetically but also subject to random damage that can accumulate over time. While DNA damage and subsequent mutation in somatic cells were first proposed as drivers of aging more than 60 years ago, whether and to what degree these processes shape the neuronal genome in the human brain could not be tested until recent technological breakthroughs related to single-cell whole-genome sequencing. Indeed, somatic single-nucleotide variants (SNVs) increase with age in the human brain, in a somewhat stochastic process that may nonetheless be controlled by underlying genetic programs. Evidence from the literature suggests that in addition to demonstrated increases in somatic SNVs during aging in normal brains, somatic mutation may also play a role in late-onset, sporadic neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease. In this review, we will discuss somatic mutation in the human brain, mechanisms by which somatic mutations occur and can be controlled, and how this process can impact human health.

scholarly journals Accurate identification of single-nucleotide variants in whole-genome-amplified single cells

2017 ◽  
Vol 14 (5) ◽  
pp. 491-493 ◽  
Author(s):  
Xiao Dong ◽  
Lei Zhang ◽  
Brandon Milholland ◽  
Moonsook Lee ◽  
Alexander Y Maslov ◽  
...  
Keyword(s):  
Single Cells ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Accurate Identification ◽  
Single Nucleotide
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