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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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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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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.
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Principles of Pharmacogenetics: Types of Genetic Variants01:27

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The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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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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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...
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Related Experiment Video

Updated: Apr 8, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
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Single-nucleotide polymorphism genotyping for disease association studies.

Myriam Fornage1, Peter A Doris

  • 1The University of Texas, Institute of Molecular Medicine, Research Center for Human Genetics, Houston, USA.

Methods in Molecular Medicine
|July 21, 2005
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Summary

Millions of DNA variants, mostly single-nucleotide polymorphisms (SNPs), were found. SNP association studies can now reveal genetic links to chronic diseases like hypertension using advanced genotyping technologies.

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Area of Science:

  • Genomics
  • Human Genetics
  • Molecular Biology

Background:

  • The Human Genome Project identified millions of DNA sequence variants, predominantly single-nucleotide polymorphisms (SNPs).
  • Understanding SNP distribution and linkage disequilibrium is crucial for genetic association studies.
  • Identifying genetic predispositions to common chronic diseases requires efficient genotyping methods.

Purpose of the Study:

  • To explore the potential of SNP association studies in understanding susceptibility to chronic diseases.
  • To discuss the feasibility of using sparse SNP collections for association studies due to linkage disequilibrium.
  • To highlight promising high-efficiency SNP genotyping technologies.

Main Methods:

  • Review of SNP mapping and genotyping technologies.
  • Focus on 5'-nuclease assay for SNP genotyping.
  • Focus on mass spectrometry genotyping.

Main Results:

  • An ultra-high-density SNP map is available.
  • Genotyping technologies and analytical approaches have improved.
  • Linkage disequilibrium allows for disease association detection with sparse SNP sets.

Conclusions:

  • SNP association studies hold promise for revealing genetic susceptibility to common chronic diseases.
  • High-efficiency genotyping technologies are essential for cost-effective and practical SNP association studies.
  • The 5'-nuclease assay and mass spectrometry are key technologies for advancing SNP genotyping.