• Archived Lectures *These may not cover the latest advances in the field
• 38 min
  1. Segregation analysis

  • Prof. Chris Cannings
  • Dr. Dawn Teare
• 35 min
  2. Choosing the right study design in genetic epidemiology

  • Prof. Duncan Thomas
• 27 min
  3. Genome-wide scans

  • Prof. Michael Province
• 40 min
  4. The study of candidate genes in drug trials - sample size considerations

  • Prof. Robert Elston
• 48 min
  5. Graphical modelling of linkage disequilibrium

  • Prof. Alun Thomas
• 50 min
  6. Bayesian approaches for modelling complex metabolic pathways

  • Prof. Duncan Thomas
• 53 min
  7. Current methods for the analysis of genetic case-control data: a review

  • Prof. Duncan Thomas
• 44 min
  8. Detecting and correcting for population structure in genetic case-control studies

  • Dr. Jonathan Pritchard
• 57 min
  9. Statistical characterization of genetic association

  • Prof. Bruce Weir
• 34 min
  10. Haplotype-based mapping and pharmacogenetics

  • Prof. David Goldstein
• 50 min
  11. Genetic linkage analysis

  • Prof. Christopher Amos
• 30 min
  12. Use of DNA pooling in large-scale association studies

  • Prof. Pak Sham
• 29 min
  13. Searching for genetic association using (haplotype) tagging SNPs

  • Prof. David Clayton
• 27 min
  14. Heterogeneity: problems and solutions

  • Prof. Michael Province
• 37 min
  15. Introduction to population genetics 1: single locus

  • Prof. David Balding
  • Dr. Andrew Morris
• 57 min
  16. Haplotype phase inference

  • Prof. Peter Donnelly
• 38 min
  17. Optimal use of linkage disequilibrium, haplotypes, and integrated maps for positional cloning

  • Prof. Newton Morton
  • Dr. Andrew Collins
• 58 min
  18. Introductory genetics for statisticians

  • Prof. Robert Elston
• 30 min
  19. Nature, nurture, neither?

  • Prof. Steve Jones
• 35 min
  20. Introduction to population genetics 2: linkage disequilibrium

  • Prof. David Balding
  • Dr. Andrew Morris
• 34 min
  21. Fine-scale mapping

  • Prof. David Balding
  • Dr. Andrew Morris

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Haplotype tagging SNPs
3. The htSNP approach
4. Tag SNPs in LD blocks (1)
5. Tag SNPs in LD blocks (2)
6. Tag SNPs in LD blocks (3)
7. A simple model
8. Indirect association
9. Scoring htSNP genotypes
10. R2: our recent experience
11. Some lessons
12. Case-control studies
13. Power
14. Complexity vs. accuracy
15. An experimental study
16. Power in CTLA4
17. Power in RANK
18. Power in TH 5' region 2
19. Power in TH-INS-IGF2
20. Tests based on locus scoring
21. A "multilocus TDT"
22. From htSNPs to causal variants
23. Selecting htSNPs N=96 (1)
24. Selecting htSNPs N=96 (2)
25. Selecting htSNPs N=48 (1)
26. Selecting htSNPs N=48 (2)
27. Selecting htSNPs N=32 (1)
28. Selecting htSNPs N=32 (2)
29. Selecting htSNPs N=16 (1)
30. Selecting htSNPs N=16 (2)
31. Quantitative traits
32. One df for dominance
33. Acknowledgements and reference

Topics Covered

• The htSNP approach
• R-square criterion for assessment
• Power
• Complexity vs. accuracy
• Case studies: 4 gene regions
• From htSNPs to causal variants
• Quantitative traits
• 1 df for dominance

Links

Series:

• Genetic Epidemiology I

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on September 1, 2004
• Archived on February 25, 2021

Financial Disclosures

• Prof. David Clayton has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.