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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.
Simple randomization
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Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Dihybrid Crosses01:18

Dihybrid Crosses

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Overview
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Law of Independent Assortment02:03

Law of Independent Assortment

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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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Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
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Incomplete Dominance01:43

Incomplete Dominance

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Related Experiment Video

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Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
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Mendelian Randomization and Type 2 Diabetes.

Daniel I Swerdlow1

  • 1Department of Medicine, Imperial College London, London, UK. d.swerdlow@imperial.ac.uk.

Cardiovascular Drugs and Therapy
|January 27, 2016
PubMed
Summary

Mendelian randomization studies use genetic data to investigate type 2 diabetes (T2DM) causes. These studies confirm some risk factors, like adiposity, while questioning others, advancing our understanding of T2DM pathophysiology.

Keywords:
Causal inferenceMendelian randomisationRisk factorsType 2 diabetes

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Area of Science:

  • Genetics
  • Epidemiology
  • Metabolic Diseases

Background:

  • Type 2 diabetes (T2DM) is a complex, prevalent condition with significant health impacts.
  • Understanding T2DM pathophysiology is limited, despite numerous identified risk factors.
  • Distinguishing causal risk factors from associations in T2DM development is challenging.

Purpose of the Study:

  • To review Mendelian randomization (MR) studies investigating causal risk factors for T2DM.
  • To explore the role of adiposity, blood lipids, and inflammation in T2DM development using MR.
  • To assess the clinical relevance of MR findings for T2DM.

Main Methods:

  • Utilizing Mendelian randomization (MR), a genetic epidemiology technique.
  • Leveraging large-scale genetic and phenotypic data from population studies.
  • Applying and refining analytical methods for causal inference in T2DM research.

Main Results:

  • MR studies have confirmed causal roles for several modifiable T2DM risk factors.
  • The relevance of other previously suspected risk factors has been challenged by MR findings.
  • MR provides valuable insights into the causal pathways of T2DM.

Conclusions:

  • Mendelian randomization is a powerful tool for establishing causality in T2DM research.
  • MR findings have implications for understanding T2DM pathophysiology and guiding interventions.
  • Continued methodological development will enhance the utility of MR for T2DM.