Bioinformatics

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Single nucleotide polymorphism (SNP)

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Bioinformatics

Definition

A single nucleotide polymorphism (SNP) is a variation at a single position in a DNA sequence among individuals, where a specific nucleotide (A, T, C, or G) differs from one individual to another. SNPs are the most common type of genetic variation and can be found in coding and non-coding regions of the genome, playing a crucial role in genetic diversity, disease susceptibility, and individual responses to medications.

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5 Must Know Facts For Your Next Test

  1. SNPs occur approximately once every 300 nucleotides in the human genome, leading to millions of variations that can be analyzed for genetic studies.
  2. Many SNPs do not affect the function of genes but can serve as markers for identifying genes associated with diseases or traits.
  3. Certain SNPs can influence an individual's response to drugs, known as pharmacogenomics, affecting efficacy and side effects.
  4. SNPs can be classified into two types: synonymous SNPs, which do not change the amino acid sequence of proteins, and nonsynonymous SNPs, which do alter the amino acid sequence.
  5. Research on SNPs contributes significantly to the understanding of complex traits, evolutionary biology, and personalized medicine.

Review Questions

  • How do single nucleotide polymorphisms contribute to genetic variation within a population?
    • Single nucleotide polymorphisms are a major source of genetic variation within populations because they represent differences in individual DNA sequences. These variations can result in diverse phenotypes and play significant roles in traits like height, susceptibility to diseases, and responses to treatments. By studying SNPs, researchers can better understand how genetic diversity affects populations and contributes to evolution.
  • What is the significance of SNPs in genome-wide association studies (GWAS), particularly in identifying disease-related genes?
    • SNPs are vital in genome-wide association studies (GWAS) because they serve as markers that help researchers pinpoint genetic variants associated with specific diseases. By comparing SNP patterns between affected individuals and healthy controls, scientists can identify genes linked to disease susceptibility. This approach has led to the discovery of numerous genetic factors that contribute to complex diseases like diabetes and heart disease.
  • Evaluate the impact of single nucleotide polymorphisms on personalized medicine and how they might influence treatment strategies.
    • Single nucleotide polymorphisms significantly impact personalized medicine by helping tailor treatment strategies based on an individual's genetic makeup. For instance, certain SNPs may indicate how a patient metabolizes drugs, influencing the choice and dosage of medication for optimal efficacy while minimizing side effects. This knowledge enables healthcare providers to move away from a one-size-fits-all approach to more targeted therapies that consider the patient's unique genetic profile.
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