• 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. Scale of association studies
3. Sample size for complex diseases
4. Feasibility of genome-wide screen
5. Efficient screening using pooled DNA
6. Cost and throughput of pooling
7. Feasibility of screen using pooling
8. Pool construction
9. Pool construction protocol
10. Quantitative genotyping assays
11. SNaPshot principles
12. Experimental errors in pooling
13. Differential amplification
14. Differential amplification: correction
15. Estimated K-values in 5 markers
16. Differential amplification: consequences (1)
17. Differential amplification: consequences (2)
18. Pool construction vs. genotyping errors
19. Experimental variance: pool construction
20. Measurement variance of 22 markers
21. Measurment errors
22. Design parameters
23. Optimal design (1)
24. Optimal design (2)
25. Family designs
26. Unrelated versus parental controls (1)
27. Unrelated versus parental controls (2)
28. Stratified designs
29. Design for quantitative traits
30. Impact of measurement error
31. Statistical analysis of pooled DNA data (1)
32. Statistical analysis of pooled DNA data (2)
33. Statistical analysis of pooled DNA data (3)
34. ADHD and noradrenergic transporter gene
35. Significance levels of 6 markers
36. IQ and non-synonymous SNPs
37. IQ data: likelihood vs. meta-regression
38. Haplotype analysis
39. Recommendations
40. Acknowledgements

Topics Covered

• Principles of DNA pooling
• The cost benefit
• Getting the quantification right
• SNaPshot
• Estimating and incorporating measurement error
• Consequences of differential amplification
• Pool construction vs. genotyping errors
• Determining optimal design
• Family designs
• Stratified designs
• Design for quantitative traits
• Methods for statistical analysis
• Case study: ADHD
• Approaches to haplotype analysis in DNA pooling
• Recommendations

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