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Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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,...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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%...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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Related Experiment Video

Updated: Jul 15, 2026

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
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'Other' applications of single nucleotide polymorphisms.

Chunming Ding1

  • 1Stanley Ho Centre for Emerging Infectious Diseases and Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. cmding@cuhk.edu.hk

Trends in Biotechnology
|May 12, 2007
PubMed
Summary

Single nucleotide polymorphisms (SNPs), common human genome variations, offer diverse applications beyond disease association. These include individual identification and quantitative DNA/RNA dosage assessment, leveraging millions of validated SNPs and analysis platforms.

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Area of Science:

  • Human genomics
  • Molecular biology
  • Bioinformatics

Background:

  • Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation in the human genome.
  • Their high frequency (every ~300 base pairs) makes them valuable for genetic studies.
  • Traditionally, SNPs are used in identifying genes linked to complex diseases.

Purpose of the Study:

  • To explore recent applications of single nucleotide polymorphisms (SNPs) beyond traditional disease association studies.
  • To highlight the diverse and emerging uses of SNPs in various biological and forensic contexts.
  • To showcase the utility of validated SNPs and advanced analysis platforms.

Main Methods:

  • Review of recent scientific literature focusing on non-disease association SNP applications.
  • Analysis of methodologies utilizing SNPs for individual identification and quantitative measurements.
  • Discussion of technological advancements in SNP genotyping and analysis platforms.

Main Results:

  • SNPs are effectively used as qualitative markers for distinguishing individuals within mixed biological samples.
  • SNPs enable quantitative assessment of genomic DNA and RNA transcript dosage.
  • The availability of millions of validated SNPs and robust analysis platforms underpins these diverse applications.

Conclusions:

  • Single nucleotide polymorphisms (SNPs) possess a broader utility in genomics than previously recognized.
  • Emerging applications of SNPs significantly contribute to fields like forensics and quantitative biology.
  • Continued development in SNP analysis platforms will further expand their application scope.