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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

16.0K
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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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

8.2K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
8.2K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.4K
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...
14.4K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

9.2K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.2K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.0K
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%...
18.0K
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

13.1K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Related Experiment Video

Updated: Sep 21, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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Inferring Potential Cancer Driving Synonymous Variants.

Zishuo Zeng1, Yana Bromberg1,2

  • 1Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08873, USA.

Genes
|May 28, 2022
PubMed
Summary

Synonymous single nucleotide variants (sSNVs) can drive cancer. This study identifies 2111 proposed cancer driver sSNVs and novel potential cancer genes by analyzing recurrence, conservation, and machine learning predictions.

Keywords:
cancer driverssSNVsomatic variantssynonymous variantsvariant functional impact

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Synonymous single nucleotide variants (sSNVs) are typically considered functionally silent.
  • However, accumulating evidence suggests some sSNVs play roles in cancer development.
  • Identifying these functionally relevant sSNVs is crucial for understanding cancer mechanisms.

Purpose of the Study:

  • To develop a computational method for identifying cancer-driving sSNVs.
  • To discover novel potential cancer genes associated with synonymous mutations.
  • To provide a prioritized list of sSNVs for experimental validation in cancer research.

Main Methods:

  • Collected and categorized sSNVs from public databases (germline, somatic in normal, somatic in cancer, putative drivers).
  • Screened sSNVs for recurrence, genomic conservation, and predicted functional impact using synVep (a machine learning predictor).
  • Analyzed a large dataset of somatic sSNVs from the COSMIC database.

Main Results:

  • Identified 2111 proposed cancer driver sSNVs from 2.9 million somatic sSNVs in COSMIC.
  • 326 of these proposed drivers were further characterized for potential RNA splicing, structural, or RBP motif effects.
  • Discovered novel potential cancer genes implicated by synonymous mutations.

Conclusions:

  • A multi-criteria screening approach effectively identifies functionally significant sSNVs and potential cancer drivers.
  • The identified sSNVs and genes offer valuable targets for experimental cancer research.
  • Synonymous mutations represent an under-explored area with potential to reveal new cancer mechanisms.