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Related Concept Videos

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...
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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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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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Principles of Pharmacogenetics: Types of Genetic Variants01:27

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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...
Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System
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Cardiovascular genomics: outcomes and implications.

David M Herrington1

  • 1Wake Forest University School of Medicine, Internal Medicine/Section on Cardiology, Winston Salem, North Carolina 27157, USA. dherring@wfubmc.edu

The Canadian Journal of Cardiology
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PubMed
Summary

Genomics offers new cardiovascular disease insights, but single nucleotide polymorphisms don't fully predict risk. Family history remains crucial for stratifying risk and guiding prevention strategies.

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Area of Science:

  • Cardiovascular genomics
  • Clinical cardiovascular research

Background:

  • Genomics technology is revolutionizing cardiovascular disease research.
  • Genome-wide association studies (GWAS) identify links between genetic variations and cardiovascular phenotypes.

Purpose of the Study:

  • To evaluate the clinical utility of current genomic findings in cardiovascular disease risk assessment.
  • To determine if genetic risk alleles are sufficient for patient screening.

Main Methods:

  • Review of recent genome-wide association studies.
  • Analysis of the contribution of single nucleotide polymorphisms (SNPs) to cardiovascular disease risk.

Main Results:

  • GWAS reveal significant associations between SNPs and cardiovascular phenotypes.
  • Identified risk alleles explain only a small fraction of individual cardiovascular risk, limiting their use in screening.

Conclusions:

  • Current genomic data, specifically SNPs, are insufficient for individual cardiovascular disease screening.
  • Clinicians must continue using family history for risk stratification.
  • Established preventive measures remain paramount for patients at risk of cardiovascular disease.