Dna Variant Analysis
Dna Variant Analysis - Related Videos
08:38
Targeted DNA Methylation Analysis by Next-generation Sequencing
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Cited by 83 •
2015
Bisulfite amplicon sequencing (BSAS) is a method for quantifying cytosine methylation in targeted genomic regions of interest. This method uses bisulfite conversion paired with PCR amplification of target regions prior to next-generation sequencing to produce absolute quantitation of DNA methylation at a base-specific level.
08:47
DNA Methylation Analysis
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2023
Methylation at CpG dinucleotides is a chemical modification of DNA hypothesized to play important roles in regulating gene expression. In particular, the methylation of clusters of methylation sites, called “CpG islands”, near promoters and other gene regulatory elements may contribute to the stable silencing of genes, for example, during epigenetic processes such as genomic imprinting and X-chromosome inactivation. At the same time, aberrant CpG methylation has been shown to be associated with...
02:30
Histone Variants at the Centromere
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2020
Histone variants are the histone proteins with structural and sequence variations. These variants may be regarded as “mutant” forms that replace their canonical histone counterparts in the nucleosomes. Specific post-translational modifications on the histone variants enable further chromatin complexity and regulate tissue-specific gene expression. The most common histone variants are from histone H2A, H2B, and linker histone H1 families. However, several variants of histone H3 variants are also...
04:46
DNA Isolation and Restriction Enzyme Analysis - Concepts
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2019
The revelation of DNA as the hereditary molecule in all organisms has led to enormous scientific and medical breakthroughs and significantly enhanced our understanding of ourselves and other organisms. DNA isolation and profiling have been the fundamental first steps for many of the advancements in the past century; from identification of gene function, to revolutions of agriculture and forensics. Isolating DNA from Cells DNA isolation is a fairly simple procedure that requires few but...
14:06
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Cited by 10 •
2012
Pooled DNA sequencing is a fast and cost-effective strategy to detect rare variants associated with complex phenotypes in large cohorts. Here we describe the computational analysis of pooled, next-generation sequencing of 32 cancer-related genes using the SPLINTER software package. This method is scalable, and applicable to any phenotype of interest.
FAQs
Sequence alignment provides the coordinate framework for comparing sequencing reads with a reference genome. Once reads are placed at corresponding genomic positions, differences can be evaluated as mismatches or small insertions and deletions rather than as unlocated sequence changes. This step allows later analysis to connect each detected difference with a specific genomic region and possible biological significance.
The described pipelines detect mismatches between sequencing reads and the reference genome, along with small insertions and deletions. These changes represent differences in the observed DNA sequence relative to the reference. Detecting both single-position differences and short length changes gives DNA variant analysis a broader view of sequence variation than examining only one type of alteration.
Annotation adds biological and genomic context to a detected variant. It can record the variant’s location, allele frequency, and predicted effect on coding or regulatory regions. That information helps researchers move from a list of sequence differences toward a prioritized set of candidates for interpretation, functional experiments, or further investigation.
Allele frequency describes how commonly a particular variant occurs within the population information used for annotation. Including this measure helps place an individual sequence difference in a broader genetic context rather than treating every detected change as equally unusual. Together with genomic location and predicted effects, frequency supports more informed prioritization of variants for biological study.
A typical workflow first aligns sequencing reads to a reference genome. It then detects mismatches and small insertions or deletions, followed by annotation of each variant. Annotation may include genomic location, allele frequency, and predicted effects in coding or regulatory regions. The resulting information supports interpretation and selection of variants for further investigation.
Researchers apply this approach to study genetic diversity, inheritance, evolution, and disease mechanisms. The same analytical framework can reveal sequence differences relevant to population-level variation or help identify candidates associated with altered gene function and disease risk. Results also guide functional experiments designed to examine which prioritized variants may have meaningful biological effects.