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Navigable Slide Index

1. Introduction
2. Overview
3. Atlas of complex disease susceptibility
4. Progress in genetic association studies
5. WTCCC GWA study desgin
6. WTCCC -T2D
7. Confirmed T2D susceptibility variants
8. WTCCC-T2D: additional susceptibility variants
9. Prioritisation on the basis of gene candidacy
10. Gene-centric approach unlikely to bear fruit
11. WTCCC -T2D: PPARG and KCNJ11 loci
12. DGI and FUSION T2D GWA scans
13. Replication and power -PPARG rs1801282
14. Meta-analysis of GWA scans
15. Meta-analysis -principles
16. Required information for the meta-analysis
17. Steps of meta-analysis of GWA scans
18. Assessment of heterogeneity
19. Meta-analysis methods
20. GWAS imputation and combination
21. GWAS combination -challenges
22. Encouraging results
23. Results of the meta-analysis (1)
24. Results of the meta-analysis (2)
25. Concluding remark
26. 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

Links

Series:

• Statistical Methods for the Analysis of Genome-Wide Association Studies

Categories:

• Genetics & Epigenetics
• Metabolism & Nutrition
• Methods

Therapeutic Areas:

• Cardiovascular & Metabolic

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 21, 2024, from https://doi.org/10.69645/TLXP3643.
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Publication History

• Published on June 4, 2008

Financial Disclosures

• Dr. Eleftheria Zeggini has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.