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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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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 November 4, 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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