• 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. Genome wide scans mapping exercise
3. Ptolemy's map of Africa
4. 19th century obsession finding the Nile source
5. River source analogy to gene search
6. Two types of genome scans
7. Linkage (equilibrium) scan
8. Linkage (equilibrium) genome scan
9. Association (disequilibrium) scan
10. Association (disequlibrium) genome scan
11. Genome wide scans
12. Multiple comparisons
13. Parable of the million monkeys
14. Monkey-typewriter origin? (1)
15. Monkey-typewriter origin? (2)
16. Monkey-typewriter origin? (3)
17. Monkey-typewriter origin? (4)
18. Genotype data explosion
19. More data not always equal more information
20. The multiple comparisons problem
21. Screening dolphins from tuna (1)
22. Screening dolphins from tuna (2)
23. Screening dolphins from tuna (3)
24. Screening dolphins from tuna (4)
25. Screening dolphins from tuna (5)
26. Screening dolphins from tuna (6)
27. Equivalence of alpha levels / p-value adjustments
28. Adjustments for multiple comparisons
29. How to adjust for multiple comparisons?
30. "Significance" in genomic analysis
31. Lessons from ESP (1)
32. Lessons from ESP (2)
33. Case study: BMI / adiposity scan
34. How to pool results?
35. Fisher's method of combining p-values
36. P-values and LOD scores
37. Advantages and disadvantages of Fisher's method
38. Meta-LOD plots (1)
39. Problem with non-parametric LODs (1)
40. Problem with non-parametric LODs (2)
41. Problem with non-parametric LODs (3)
42. Problem with non-parametric LODs (4)
43. Meta-LOD plots (2)
44. Parable of the million genetic epidemiologists ...
45. References

Topics Covered

• Genome-wide vs. candidate gene search methods
• Linkage vs. association
• How to cope with multiple comparisons
• Ordered sequential methods
• Latest meta-analysis methods for LOD score analysis

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. Michael Province has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.