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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
Obesity and diabetes gene discovery approaches
1Metabolic Research Unit, School of Health Sciences, Deakin University, Pigdons Road, Waurn Ponds, VIC 3217, Australia. walder@deakin.edu.au
Abstract:
New treatments are currently required for the common metabolic diseases obesity and type 2 diabetes. The identification of physiological and biochemical factors that underlie the metabolic disturbances observed in obesity and type 2 diabetes is a key step in developing better therapeutic outcomes. The discovery of new genes and pathways involved in the pathogenesis of these diseases is critical to this process, however identification of genes that contribute to the risk of developing these diseases represents a significant challenge as obesity and type 2 diabetes are complex diseases with many genetic and environmental causes. A number of diverse approaches have been used to discover and validate potential new targets for obesity and diabetes. To date, DNA-based approaches using candidate gene and genome-wide linkage analysis have had limited success in identifying genomic regions or genes involved in the development of these diseases. Recent advances in the ability to evaluate linkage analysis data from large family pedigrees using variance components based linkage analysis show great promise in robustly identifying genomic regions associated with the development of obesity and diabetes. RNA-based technologies such as cDNA microarrays have identified many genes differentially expressed in tissues of healthy and diseased subjects. Using a combined approach, we are endeavouring to focus attention on differentially expressed genes located in chromosomal regions previously linked with obesity and/or diabetes. Using this strategy, we have identified Beacon as a potential new target for obesity and diabetes.
Insights
New research identifies Beacon as a potential therapeutic target for obesity and type 2 diabetes. This discovery aids in understanding the complex genetic factors contributing to these metabolic diseases.
Area of Science:
- Metabolic diseases
- Genetics
- Molecular biology
Background:
- Obesity and type 2 diabetes require novel treatments.
- Identifying genetic and biochemical factors is crucial for therapeutic development.
- Complex genetic and environmental causes make target identification challenging.
Purpose of the Study:
- To discover and validate new therapeutic targets for obesity and type 2 diabetes.
- To identify genes involved in the pathogenesis of these metabolic diseases.
- To focus on differentially expressed genes within linked chromosomal regions.
Main Methods:
- Utilizing variance components based linkage analysis for large family pedigrees.
- Employing RNA-based technologies like cDNA microarrays.
- Combining linkage analysis with gene expression data.
Main Results:
- Variance components linkage analysis shows promise in identifying obesity and diabetes-associated genomic regions.
- cDNA microarrays identified differentially expressed genes.
- The combined approach identified Beacon as a potential new target.
Conclusions:
- Beacon is a potential novel therapeutic target for obesity and type 2 diabetes.
- Integrated genetic and gene expression analysis is effective for target discovery.
- Further research into Beacon's role in metabolic disease is warranted.
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