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OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models

Stephen D Mague1, Julie A Blendy

  • 1Department of Pharmacology, University of Pennsylvania School of Medicine, Philadelphia, TRL, PA 19104, USA.

Drug and Alcohol Dependence
|January 16, 2010
PubMed

Insights

A common gene variant (A118G) in mu-opioid receptors influences pain management and addiction. Researchers reviewed its impact and developed a mouse model to study its effects on human disease.

Area of Science:

  • Neuroscience
  • Pharmacology
  • Genetics

Background:

  • Endogenous opioids and mu-opioid receptors are crucial for biological functions, including pain modulation.
  • Opioid therapeutics are vital for pain management but are limited by tolerance and dependence.
  • A common single nucleotide polymorphism (SNP), A118G, in the mu-opioid receptor gene is linked to variability in pain and addiction.

Purpose of the Study:

  • To review association studies on the A118G SNP's role in human disease and treatment response.
  • To investigate the functional consequences of the A118G SNP.
  • To describe a novel mouse model for studying the A118G SNP's impact.

Main Methods:

  • Literature review of association studies and functional investigations of the A118G SNP.
  • Development of a mouse model genetically engineered to possess the human A118G SNP.
  • Evaluation of the mouse model for recapitulating human disease phenotypes.

Main Results:

  • Numerous association studies suggest a link between A118G and disease states/treatment responses.
  • Functional studies aim to elucidate the precise impact of this genetic variant.
  • A novel mouse model has been created to enable in vivo study of the A118G SNP.

Conclusions:

  • Understanding the functional impact of the A118G SNP is challenging but crucial for personalized medicine.
  • The developed mouse model provides a valuable tool for dissecting the SNP's contribution to human disease.
  • Investigating human genetic variants in tractable systems like mice aids in understanding disease etiology.

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