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Systems Genetics as a Tool to Identify Master Genetic Regulators in Complex Disease
Aida Moreno-Moral1, Francesco Pesce2, Jacques Behmoaras3
1Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Systems genetics uses genetic variation to understand complex traits and diseases by identifying gene networks. This approach reveals master regulators and unexpected gene targets, advancing disease research.
Area of Science:
- Genetics
- Systems Biology
- Computational Biology
Background:
- Systems genetics integrates systems biology principles with genetic variation analysis.
- It focuses on understanding perturbations and phenotypic effects in complex biological systems.
- Naturally occurring genetic variation is the primary perturbation source in systems genetics.
Purpose of the Study:
- To detail a fully integrated systems genetics approach for complex disease analysis.
- To highlight the identification of gene networks and molecular pathways underlying complex diseases.
- To showcase the discovery of master trans-acting genetic regulators and their gene targets.
Main Methods:
- Assessment of genetic and gene expression variation.
- Expression quantitative trait loci (eQTL) mapping to link DNA variation to mRNA levels.
- Gene regulatory network analysis and mapping genetic control of these networks.
Main Results:
- Successful identification of gene networks and molecular pathways associated with complex diseases.
- Discovery of master genetic regulators influencing these networks.
- Revealed unexpected gene targets for disease intervention.
Conclusions:
- An integrated systems genetics approach is powerful for dissecting complex diseases.
- Combining genetic variation, expression data, and network analysis yields significant biological insights.
- This methodology aids in identifying novel therapeutic targets for diseases.
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