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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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Point and Frameshift Mutations01:30

Point and Frameshift Mutations

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Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

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Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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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Mismatch Repair01:20

Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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Mutations01:39

Mutations

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Overview
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Updated: Jan 8, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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The Impact of Variant Calling on Substitution Mutational Signature Inference.

Zichen Jiang1,2,3, Jessica N Au1,2,3,4, Mariya Kazachkova1,3,5

  • 1Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.

Biorxiv : the Preprint Server for Biology
|December 22, 2025
PubMed
Summary
This summary is machine-generated.

Consensus variant calling is crucial for accurate cancer mutational signature analysis. This method reliably identifies true single-base substitution signatures, avoiding artifacts from individual mutation callers.

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Area of Science:

  • Genomics
  • Cancer Research
  • Bioinformatics

Background:

  • Identifying mutational signatures is vital in cancer genomics.
  • The impact of variant calling strategies on signature extraction remains unevaluated.

Purpose of the Study:

  • To assess how different mutation callers influence de novo single-base substitution (SBS) signatures.
  • To establish robust methods for inferring mutational signatures in cancer.

Main Methods:

  • Analysis of over 8,900 whole exomes (TCGA) and 1,800 whole genomes (PCAWG).
  • Comparison of de novo SBS signatures generated by individual callers versus consensus calling.
  • Evaluation using three independent signature extraction tools.

Main Results:

  • Individual callers introduced false-positive SBSs, creating artifactual signatures.
  • Consensus calling produced stable de novo signatures across different pipelines and reference genomes.
  • A minimal consensus approach (two-caller agreement) removed artifacts while retaining biological signal.

Conclusions:

  • Consensus variant calling is essential for reliable de novo SBS mutational signature inference.
  • Distinguishing genuine mutational processes from technical artifacts is critical.
  • Practical guidelines are provided for robust signature analysis.