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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,...
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 Copying Errors02:46

Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger theirĀ  survival. Therefore, the copying errors are checked and repaired at three levels.
Mutations01:39

Mutations

Overview
Mutations01:35

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...

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Updated: Jun 25, 2026

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
06:18

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

Published on: July 11, 2025

Single nucleotide polymorphisms affect both cis- and trans-eQTLs.

Lang Chen1, Grier P Page, Tapan Mehta

  • 1Department of Biostatistics, Section on Statistical Genetics, School of Public Health, University of Alabama at Birmingham, AL 35209, USA.

Genomics
|March 3, 2009
PubMed
Summary
This summary is machine-generated.

Single nucleotide polymorphisms (SNPs) can impact gene expression array performance. Filtering out SNP-containing probes improves expression quantitative trait loci (eQTL) mapping accuracy by enhancing probe set summaries.

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Single nucleotide polymorphisms (SNPs) located between microarray probes and RNA targets can compromise expression array performance by reducing hybridization efficiency.
  • This phenomenon can introduce noise and bias into gene expression measurements, potentially affecting downstream analyses such as expression quantitative trait loci (eQTL) mapping.

Purpose of the Study:

  • To investigate the impact of SNPs on Affymetrix GeneChip probe set summaries.
  • To evaluate the effect of SNPs on expression quantitative trait loci (eQTL) mapping results using both mouse and human datasets.

Main Methods:

  • Analysis of two eQTL datasets (one mouse, one human) examining Affymetrix GeneChip data.
  • Systematic removal of probes containing SNPs to assess changes in probe set summaries.
  • Comparison of eQTL mapping results with and without SNP-containing probes across varying significance thresholds.

Main Results:

  • Removing SNP-containing probes significantly altered probe set summaries, with greater changes observed as more SNP probes were excluded.
  • Less than 70% of significant eQTL peaks remained concordant when comparing analyses with and without SNP-containing probes, irrespective of the significance threshold.
  • SNPs were found to influence both cis- and trans-acting eQTLs.

Conclusions:

  • SNPs demonstrably affect both probe set summaries and eQTL mapping outcomes.
  • Filtering out SNP-containing probes is a crucial step to enhance the accuracy and reliability of eQTL mapping.
  • This study underscores the importance of accounting for genetic variation at the probe level for robust genomic analyses.