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Related Concept Videos

Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Polygenic Traits01:18

Polygenic Traits

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Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
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Related Experiment Video

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Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator
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Genetic factors for obesity.

Yoshiji Yamada1, Kimihiko Kato, Takashi Kameyama

  • 1Department of Human Functional Genomics, Life Science Research Center, Mie University, Mie 514-8507, Japan. yamada@gene.mie-u.ac.jp

International Journal of Molecular Medicine
|October 4, 2006
PubMed
Summary

This study identified specific gene polymorphisms in ACE, GCK, and ESR1 associated with obesity prevalence in Japanese adults. These genetic markers may aid in the personalized prevention of obesity.

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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Area of Science:

  • Genetics
  • Obesity Research
  • Personalized Medicine

Background:

  • Obesity is a complex condition with significant genetic contributions.
  • Identifying specific genetic factors is crucial for understanding obesity etiology and developing targeted interventions.

Purpose of the Study:

  • To identify gene polymorphisms reliably associated with obesity.
  • To assess the independent and combined effects of these polymorphisms on obesity prevalence.
  • To explore the potential for using genetic markers in personalized obesity prevention strategies.

Main Methods:

  • Genotyping of 147 polymorphisms across 124 candidate genes in 3906 Japanese individuals (1196 obese, 2710 controls).
  • Utilized a combination of polymerase chain reaction and suspension array technology.
  • Employed multivariable logistic regression and stepwise forward selection for statistical analysis.

Main Results:

  • Significant associations found between obesity and polymorphisms in GCK (-30G>A), ACE (-240A>T), and APOC3 (-482C>T) (P < 0.01).
  • ESR1 (-1989T>G) showed an almost significant association.
  • ACE, GCK, and ESR1 genotypes independently and significantly affected obesity prevalence.
  • Combined genotype analysis revealed a reduced odds ratio for specific combinations, suggesting a protective effect.

Conclusions:

  • Specific gene polymorphisms in ACE, GCK, and ESR1 are reliable indicators of genetic predisposition to obesity.
  • Combined genotype assessment holds promise for personalized obesity risk assessment.
  • These findings may facilitate the development of personalized prevention strategies for obesity.