• 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. Contents
3. Factors determining interindividual variability
4. Special problems (1)
5. Special problems (2)
6. Terminology and notation
7. Random mating proportions
8. Subjects on drug dose j with i copies of allele A
9. Numbers of responders to drug treatment
10. Hypotheses of interest
11. t statistic to determine N for a given power
12. Accounting for interactions
13. Null and alternative hypothesis
14. Normal approximation for t statistic (1)
15. Normal approximation for t statistic (2)
16. Simulating the t distribution (1)
17. Simulating the t distribution (2)
18. Simulating the t distribution (3)
19. Distribution of t under H0 and H1
20. Determining the number of tests
21. Notes on method
22. Effect of allele does not depend on dose (1)
23. Effect of allele does not depend on dose (2)
24. Additive-by-dose interaction
25. Dominant-by-dose interaction
26. Recessive-by-dose interaction
27. How many independent tests?
28. Coefficients and procedure (1)
29. Coefficients and procedure (2)
30. Example
31. Factors to Consider
32. Results (1)
33. Results (2)
34. Results (3)
35. Discussion (1)
36. Discussion (2)
37. Taking account of genotype effects
38. When is it better to stratify by genotype?
39. Dense genome screening
40. Effect of number of tests on sample size (1)
41. Effect of number of tests on sample size (2)
42. References

Topics Covered

• Notation and test statistic
• Sample size determination
• Determining the number of tests
• Example of binary response to a drug

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