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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%...
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

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...
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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: Jun 20, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

SNPs: impact on gene function and phenotype.

Barkur S Shastry1

  • 1Department of Biological Sciences, Oakland University, Rochester, MI, USA.

Methods in Molecular Biology (Clifton, N.J.)
|September 22, 2009
PubMed
Summary
This summary is machine-generated.

Single nucleotide polymorphisms (SNPs) are common DNA variations influencing traits and diseases. Studying SNPs, like those in eye disorders, aids medical testing and personalized medicine development.

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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
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Published on: June 15, 2011

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Last Updated: Jun 20, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

Area of Science:

  • Genetics
  • Molecular Biology
  • Ophthalmology

Background:

  • Single nucleotide polymorphisms (SNPs) represent the most common form of DNA variation.
  • These variations occur throughout the genome and contribute to individual diversity, evolution, and disease susceptibility.
  • SNPs can alter protein function, gene expression, and mRNA stability, potentially leading to disease.

Purpose of the Study:

  • To review the impact of SNPs on gene function and phenotype.
  • To focus on evidence demonstrating the role of SNPs in the development and progression of three human eye disorders.
  • To highlight the potential of SNP analysis for medical advancements.

Main Methods:

  • Literature review of studies investigating SNPs and human diseases.
  • Focus on specific examples of SNPs in Norrie disease, familial exudative vitreoretinopathy, and retinopathy of prematurity.
  • Analysis of how SNPs affect gene function and contribute to disease phenotypes.

Main Results:

  • SNPs are implicated in a wide range of traits and common diseases, including diabetes, obesity, and hypertension.
  • Specific SNPs have been identified that contribute to the pathogenesis of Norrie disease, familial exudative vitreoretinopathy, and retinopathy of prematurity.
  • Understanding SNP effects provides insights into disease mechanisms and individual health outcomes.

Conclusions:

  • Identification and analysis of genetic variations like SNPs are crucial for understanding gene function and individual health.
  • SNP knowledge can lead to the development of novel diagnostic markers for medical testing.
  • This understanding paves the way for personalized medication strategies, revolutionizing future medical practices.