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Infinium Assay for Large-scale SNP Genotyping Applications
Published on: November 19, 2013
Quantitative genetics in the age of omics
Joost J B Keurentjes1, Maarten Koornneef, Dick Vreugdenhil
1Laboratory of Genetics, Wageningen University, Arboretumlaan 4, NL-6703 BD Wageningen, The Netherlands. joost.keurentjes@wur.nl
Current Opinion in Plant Biology
|March 8, 2008
Summary
Quantitative genetics now uses omic technologies to analyze complex traits by integrating gene expression and biological pathways. This approach helps build regulatory networks from gene to function.
Area of Science:
- Genetics and Systems Biology
Background:
- Quantitative genetics traditionally uses natural variation to study complex traits.
- Advances in high-throughput 'omic' technologies enable large-scale biological analyses.
Purpose of the Study:
- To shift the focus of quantitative genetics towards comprehensive, large-scale analyses using omic data.
- To explore the 'black box' translating genetic information into biological function, including regulation and pathways.
Main Methods:
- Utilizing high-throughput omic technologies for biological molecule quantification.
- Applying advanced analytical and statistical techniques.
- Constructing regulatory networks integrating multiple biological information levels.
Main Results:
- Omic technologies provide unprecedented insight into the gene-to-function black box.
- Integration of transcriptional, post-translational, and metabolic data is now feasible.
- Development of methods to construct comprehensive regulatory networks.
Conclusions:
- Omic technologies and advanced analytics revolutionize quantitative genetics research.
- Regulatory network construction offers a holistic view of gene-to-function relationships.
- This integrated approach is key to understanding complex traits.
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