• 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. Segregation analysis: fitting a genetic model
3. Parts of segregation analysis
4. Maximum likelihood
5. Likelihood
6. Peeling
7. MCMC
8. Example
9. Classic segregation analysis
10. Estimating the segregation proportion
11. Ascertainment / sampling bias
12. Ascertainment probability
13. Special cases
14. Selected through affected
15. Ascertainment correction
16. Ascertainment criteria
17. Ascertainment problems
18. Segregation analysis for quantitative traits
19. Quantitative traits
20. QTL
21. Polygenic model
22. Polygenic values
23. Polygenes responsible for a quantitative trait
24. Polygenic inheritance
25. Heritability
26. Components of variance
27. Heritability (1)
28. Heritability (2)
29. Heritability (3)
30. Heritability (4)
31. Heritability (5)
32. Additive genetic variance
33. Dominance variance
34. Epistatic variance
35. Total variance
36. Covariance between pairs of relatives (1)
37. Covariance between pairs of relatives (2)
38. Covariance between pairs of relatives (3)
39. Analysis of covariance
40. Segregation analysis and the mixed model (1)
41. Segregation analysis and the mixed model (2)
42. Segregation analysis and the mixed model (3)
43. Likelihood for the mixed model
44. Liability and threshold models
45. Liability thresholds
46. Polygenic approximations
47. The hypergeometric polygenic model
48. Hypergeometric approximation (1)
49. Hypergeometric approximation (2)
50. Regressive models
51. Penetrance functions
52. Survival models
53. Hazard rate (1)
54. Hazard rate (2)
55. Survival
56. Estimation (1)
57. Estimation (2)
58. Summary
59. Complex segregation analysis (1)
60. Complex segregation analysis (2)
61. Common problems in segregation analysis
62. Global or local maximum likelihood?
63. Computer packages
64. Graphical models and MCMC
65. Segregation analysis: the future (1)
66. Segregation analysis: the future (2)
67. Segregation analysis: the future (3)

Topics Covered

• Components of segregation analysis
• Maximum likelihood models
• Peeling and MCMC
• Estimating the segregation proportion
• Ascertainment/sampling bias
• Ascertainment correction
• Segregation analysis for quantitative traits
• Polygenic models
• Heritability
• Components of variance
• Genetic variance: additive and dominance
• Epistatic variance
• Analysis of covariance
• Mixed models
• Liability and threshold models
• The hypergeometric polygenic model
• Regressive models
• Penetrance functions
• Survival models
• Computer packages

Links

Series:

• Genetic Epidemiology I

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on September 1, 2004
• Archived on May 16, 2018

Financial Disclosures

• Prof. Chris Cannings has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
• Dr. Dawn Teare has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.