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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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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.
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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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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.
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Mendelian randomization for nephrologists.

Ellen Dobrijevic1, Anita van Zwieten1, Krzysztof Kiryluk2

  • 1Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Centre for Kidney Research, Kids Research Institute, The Children's Hospital at Westmead, Westmead, New South Wales, Australia.

Kidney International
|October 2, 2023
PubMed
Summary
This summary is machine-generated.

Mendelian randomization (MR) uses genetic data to infer causality in observational studies, particularly in nephrology. This review details MR methods, challenges, and guidelines for robust causal inference in kidney research.

Keywords:
Mendelian randomizationcausal inferencechronic kidney disease

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Area of Science:

  • Nephrology
  • Genetics
  • Epidemiology

Background:

  • Observational studies in nephrology are limited by confounding.
  • Mendelian randomization (MR) offers a powerful approach to establish causal relationships using genetic variants as instrumental variables.
  • The growth of genome-wide association studies has increased MR's application in nephrology.

Purpose of the Study:

  • To review the fundamental concepts of Mendelian randomization.
  • To discuss the application and significance of MR in nephrology.
  • To outline methodological challenges, limitations, and reporting guidelines for MR studies.

Main Methods:

  • Summarizes basic MR concepts and applications in nephrology.
  • Discusses methodological challenges, including data selection, genetic variant refinement, harmonization, and validation.
  • Illustrates MR steps with a clinical example: the relationship between estimated glomerular filtration rate and cancer.

Main Results:

  • MR provides a robust method for causal inference in observational nephrology research.
  • Careful consideration of potential pitfalls at each step is crucial for valid results.
  • Guidelines for MR design and reporting enhance the reliability of findings.

Conclusions:

  • Mendelian randomization is a valuable tool for establishing causal links in nephrology.
  • Adherence to methodological best practices and reporting guidelines is essential for robust MR studies.
  • This review provides a framework for conducting and interpreting MR in kidney research.