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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Genetic Variation01:25

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Epistasis Analysis01:09

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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Single Nucleotide Polymorphisms-SNPs01:05

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Related Experiment Video

Updated: Sep 23, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Computational and Experimental Analysis of Genetic Variants.

Jeremy W Prokop1,2, Vladislav Jdanov1, Lane Savage1

  • 1Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA.

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Genomic variant characterization uses computational and experimental methods to link genetic variations to physiological changes. This approach aids in understanding disease mechanisms and educates future scientists in genetics research.

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Area of Science:

  • Genomics and Physiological Sciences

Background:

  • Genomics has rapidly advanced, with common variants linked to physiological changes via Genome-Wide Association Studies (GWAS) and quantitative trait loci (QTL).
  • Rare variants associated with diseases are identified using population genomics and trio-based sequencing.

Purpose of the Study:

  • To outline computational and experimental strategies for variant characterization.
  • To demonstrate how variant data can be integrated with bioinformatics and molecular biology for mechanistic insights.
  • To highlight the educational value of variant characterization in training future professionals.

Main Methods:

  • Utilizing large datasets to connect genomic variants to gene expression, cell types, protein pathways, and phenotypes.
  • Employing bioinformatics tools such as evolutionary analysis, structural insights, and gene regulation analysis.
  • Applying experimental techniques including molecular biology, biochemistry, cell culture, CRISPR editing, and animal models to test hypotheses.

Main Results:

  • Genomic associations require follow-up analyses to identify causal variants and affected genes.
  • Integration of diverse data types and bioinformatics approaches can generate testable hypotheses for variant mechanisms.
  • Experimental validation confirms molecular mechanisms underlying genomic variants.

Conclusions:

  • Variant characterization is crucial for understanding physiological genomics and disease etiology.
  • A combination of computational and experimental approaches is essential for comprehensive variant analysis.
  • Variant characterization serves as a valuable pedagogical tool in genetics education.