• 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. Preface
3. Linkage vs. association
4. Genealogy of case chromosomes (1)
5. Genealogy of case chromosomes (2)
6. Descent of founder haplotype
7. Reality is more complex (1)
8. Reality is more complex (2)
9. Reality is more complex (3)
10. Disease-marker association
11. Non-genealogy-based association methods
12. Star genealogies (1)
13. Star genealogies (2)
14. Star genealogies (3)
15. Adjusting for shared ancestry
16. Coalescent model
17. Pros and cons of the coalescent
18. The shattered coalescent (1)
19. The shattered coalescent (2)
20. Bayesian computation
21. Bayes' theorem
22. Simplifying the likelihood
23. DMLE (Rannala & Reeve, 2001)
24. COLDMAP (Morris et al., 2002)
25. Genetic heterogeneity
26. Example: cystic fibrosis
27. Single-marker odds ratios
28. COLDMAP analyses
29. CF location
30. CF cladogram
31. Unphased genotype data
32. Perspectives
33. References

Topics Covered

• Linkage vs. association
• The need for fine mapping
• The genealogy underlying a sample of case chromosomes
• Disease-marker association
• Star genealogies and variance adjustment
• Coalescent-based approaches
• Software: DMLE+ and COLDMAP
• Example: CF dataset

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 Balding has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
• Dr. Andrew Morris has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.