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Related Concept Videos

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase01:11

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase

Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
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...
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...
Pharmacogenetics of Drug Metabolism: Overview01:27

Pharmacogenetics of Drug Metabolism: Overview

Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
Pharmacogenetics of Drug Transporters: P-Glycoprotein and Solute Carrier Transporters01:16

Pharmacogenetics of Drug Transporters: P-Glycoprotein and Solute Carrier Transporters

The pharmacogenetics of drug transporters is increasingly recognized as a critical factor influencing interindividual variability in drug absorption, distribution, and elimination. These membrane-bound proteins regulate drugs' movement across cellular barriers by actively pumping them out (efflux) or facilitating their uptake (influx). Among the major transporter families, ATP-binding cassette (ABC) and solute carrier (SLC) transporters play particularly prominent roles. Genetic polymorphisms...

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Related Experiment Video

Updated: Jun 23, 2026

Isolation and Differentiation of Stromal Vascular Cells to Beige/Brite Cells
07:22

Isolation and Differentiation of Stromal Vascular Cells to Beige/Brite Cells

Published on: March 28, 2013

PPARγ2 polymorphism and human health.

Weimin He1

  • 1Alkek Institute of Biosciences and Technology, Texas A&M University System Health Science Center, 2121 W. Holcombe Blvd., Houston, TX 77030, USA. whe@ibt.tamhsc.edu

PPAR Research
|April 25, 2009
PubMed
Summary

The Pro12Ala polymorphism in peroxisome proliferator activated receptor gamma 2 (PPARγ2) influences insulin sensitivity and type 2 diabetes risk. Its effects are complex, interacting with diet and other genes.

Area of Science:

  • Endocrinology
  • Metabolic Diseases
  • Genetics

Background:

  • Peroxisome proliferator activated receptor gamma (PPARγ) is a nuclear hormone receptor crucial for adipocyte differentiation, lipid and glucose metabolism, and insulin sensitivity.
  • Genetic variations in PPARγ can alter insulin sensitivity, impacting metabolic health.
  • The PPARγ2 Pro12Ala polymorphism is a common variant linked to metabolic traits.

Purpose of the Study:

  • To review recent findings on the PPARγ2 Pro12Ala polymorphism.
  • To explore its association with insulin sensitivity, type 2 diabetes, and other diseases.
  • To highlight the complex interactions influencing its effects.

Main Methods:

  • Literature review of genetic association studies.
  • Analysis of research on PPARγ2 Pro12Ala polymorphism.

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Last Updated: Jun 23, 2026

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  • Synthesis of data on interactions with environmental and genetic factors.
  • Main Results:

    • The PPARγ2 Pro12Ala polymorphism is associated with lower body mass index and enhanced insulin sensitivity.
    • Conflicting results across populations suggest interactions with dietary factors (fatty acid ratios) and other genes.
    • The polymorphism is also linked to cancers, polycystic ovary syndrome, Alzheimer disease, and aging.

    Conclusions:

    • The PPARγ2 Pro12Ala polymorphism has a multifaceted role in human health.
    • Environmental and genetic interactions significantly modulate its impact on metabolic and other diseases.
    • Further research is needed to fully elucidate these complex relationships.