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Printable Handouts
Navigable Slide Index
- Introduction
- Overview
- Atlas of complex disease susceptibility
- Progress in genetic association studies
- WTCCC GWA study desgin
- WTCCC -T2D
- Confirmed T2D susceptibility variants
- WTCCC-T2D: additional susceptibility variants
- Prioritisation on the basis of gene candidacy
- Gene-centric approach unlikely to bear fruit
- WTCCC -T2D: PPARG and KCNJ11 loci
- DGI and FUSION T2D GWA scans
- Replication and power -PPARG rs1801282
- Meta-analysis of GWA scans
- Meta-analysis -principles
- Required information for the meta-analysis
- Steps of meta-analysis of GWA scans
- Assessment of heterogeneity
- Meta-analysis methods
- GWAS imputation and combination
- GWAS combination -challenges
- Encouraging results
- Results of the meta-analysis (1)
- Results of the meta-analysis (2)
- Concluding remark
- References
Topics Covered
- Genetic architecture of common complex diseases
- Genome-wide association scans
- Genome-wide association scan methodology
- Application to type 2 diabetes genome-wide association scan data
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Therapeutic Areas:
Talk Citation
Zeggini, E. (2008, June 4). Meta-analysis in genome-wide association studies: application to type 2 diabetes [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 15, 2025, from https://doi.org/10.69645/TLXP3643.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Eleftheria Zeggini has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Meta-analysis in genome-wide association studies: application to type 2 diabetes
A selection of talks on Metabolism & Nutrition
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