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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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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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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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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.
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Related Experiment Video

Updated: Jul 1, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Tackling reference bias in genotyping by using founder sequences with PanVC 3.

Tuukka Norri1, Veli Mäkinen2

  • 1Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, FI-00014 Helsinki, Finland.

Bioinformatics Advances
|March 11, 2024
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Summary
This summary is machine-generated.

PanVC 3 software reduces reference bias and improves insertion/deletion calling in genotyping. By incorporating known genetic variants during read alignment, it enhances variant calling accuracy.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Genotyping faces challenges with reference bias and accurate indel calling.
  • Existing variant calling workflows can be limited by reference genome inaccuracies.

Purpose of the Study:

  • To introduce PanVC 3, a novel software suite for improving variant calling.
  • To address reference bias and enhance indel detection in genotyping.

Main Methods:

  • Developed PanVC 3 software for integration into variant calling pipelines.
  • Incorporated known genetic variants into founder sequences for read alignment.

Main Results:

  • Demonstrated significant reduction in reference bias.
  • Showcased improved precision for calling insertions and deletions.

Conclusions:

  • PanVC 3 effectively mitigates reference bias in genotyping.
  • The software enhances the accuracy of indel variant calling, contributing to more reliable genomic analysis.