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Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
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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...
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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...
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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...
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Pharmacogenetics in obstetric anesthesia.

Ruth Landau1, Richard Smiley2

  • 1Columbia University Medical Center, Center for Precision Medicine, Department of Anesthesiology, Columbia University College of Physicians & Surgeons, 630 West 168th St PH-5 (5th Floor Office PH-546, 11th Floor Office CHN-1118), New York, NY 10032, USA.

Best Practice & Research. Clinical Anaesthesiology
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PubMed
Summary
This summary is machine-generated.

Genetic research in obstetrics and anesthesiology is exploring gene variants for conditions like preterm labor and pain. While current findings show modest effects, future technologies may enhance clinical applications.

Keywords:
ADRB2CYP2D6OPRM1analgesiacesarean deliveryephedrinegeneticslaboropioidspainpharmacogeneticspolymorphisms

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Area of Science:

  • Obstetrics and Gynecology
  • Anesthesiology
  • Genetics
  • Pharmacogenomics

Background:

  • The 21st century is characterized by the rise of precision medicine, leveraging genetic insights for tailored therapies.
  • Genetic investigations in obstetrics and anesthesiology aim to understand biological pathways and develop novel drug therapies.
  • Key areas include preterm labor, spinal anesthesia-induced hypotension, and pain/analgesic responses.

Purpose of the Study:

  • To review the current state of genetic investigations in obstetrics and obstetric anesthesiology.
  • To identify the impact of genetic variations on clinical outcomes and therapeutic responses.
  • To project the future influence of advanced genetic technologies in these fields.

Main Methods:

  • Review of studies investigating single nucleotide polymorphisms (SNPs) related to obstetric and anesthesiology conditions.
  • Analysis of genetic effects on preterm labor, labor progression, hypotension, and pain perception.
  • Exploration of emerging technologies like whole exome/genome sequencing and real-time genotyping.

Main Results:

  • Most studies have focused on specific SNPs, revealing modest effects of genetic variation.
  • Current genetic findings have not yet significantly impacted clinical practice in obstetrics and anesthesiology.
  • Limited tangible impact on current clinical practice observed.

Conclusions:

  • While genetic variations show modest effects, their clinical impact in obstetrics and anesthesiology is currently limited.
  • Advancements in sequencing, big data, and genotyping technologies are poised to increase the role of genetics.
  • Future integration of genetic information may personalize treatment and improve patient outcomes in obstetric anesthesia.