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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
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Genetic & epigenetic approach to human obesity
K Rajender Rao, Nirupama Lal, N V Giridharan1
1National Center for Laboratory Animal Sciences & National Institute of Nutrition (ICMR), Hyderabad, India.
The Indian Journal of Medical Research
|January 13, 2015
Summary
Obesity, a major health issue, stems from energy imbalance and genetic factors. Research explores genetic variations and Genome-wide association studies (GWAS) to understand obesity
Area of Science:
- Genetics and Public Health
- Metabolic Disorders Research
Background:
- Obesity is a significant clinical and public health concern, characterized by excess adipose tissue due to energy imbalance.
- It is a precursor to numerous serious health conditions, including type-2 diabetes, cardiovascular diseases, certain cancers, stroke, and hyperlipidemia, and can lead to premature death.
Purpose of the Study:
- To review strategies for analyzing genetic variations in human obesity.
- To highlight advancements in Genome-wide association studies (GWAS) for identifying genetic risks and markers for obesity.
- To explore the influence of ethnic and racial genetic variations on obesity susceptibility.
Main Methods:
- Review of recent advancements in genome-wide and functional variation analyses in human obesity.
- Analysis of data from Genome-wide association studies (GWAS).
- Examination of the Human Obesity Gene Map for quantitative trait loci (QTL).
Main Results:
- Genome-wide association studies (GWAS) have significantly advanced the identification of genetic risks for obesity.
- The Human Obesity Gene Map identifies 253 quantitative trait loci (QTL) for obesity-related phenotypes from 61 genome-wide scan studies.
- Genetic propensity and ethnic variations play a role in obesity susceptibility.
Conclusions:
- Understanding the genetic complexity of obesity is crucial for developing effective prevention and treatment strategies.
- Further research into genetic variations can enhance our comprehension of obesity's etiology.
- Genetic analysis provides insights into individual susceptibility to obesity.
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