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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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.
GWAS does not require the identification of the target gene involved in...
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...
Law of Independent Assortment02:03

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
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...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Related Experiment Videos

Mendelian randomization: application to cardiovascular disease.

Nicholas J Timpson1, Kaitlin H Wade, George Davey Smith

  • 1MRC CAiTE Centre, School of Social and Community Medicine, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK. n.j.timpson@bris.ac.uk

Current Hypertension Reports
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Genotypic variation offers a novel method for epidemiologists to infer causality when randomized trials are not feasible. This approach uses genetic variations as proxies for risk factors, particularly in cardiovascular research.

Related Experiment Videos

Area of Science:

  • Epidemiology
  • Genetics
  • Cardiovascular Science

Background:

  • Randomized controlled trials (RCTs) for causality are often unethical, impractical, or uneconomical.
  • Conventional observational studies face challenges in establishing definitive causal links.

Purpose of the Study:

  • To explore alternative methods for asserting causality in epidemiology.
  • To review the potential and limitations of using genotypic variation as a proxy for risk factors in cardiovascular research.

Main Methods:

  • Utilizing genetic variations as proxy measures for population-level risk factors.
  • Applying these genetic proxies to estimate causal effects.

Main Results:

  • Genotypic variation approaches can mitigate issues inherent in traditional observational studies.
  • This method provides a way to estimate causal effects in the absence of RCTs.

Conclusions:

  • Genotypic variation is a promising tool for causal inference in epidemiology, especially in cardiovascular studies.
  • Understanding the limitations of this approach is crucial for accurate interpretation.