• Special Designs
• 46 min
  1. Family-based association tests: introduction

  • Dr. Christoph Lange
• 29 min
  2. Family-based association tests: FBAT testing strategies for large-scale association studies

  • Dr. Christoph Lange
• 37 min
  3. Two-stage genome-wide association designs

  • Dr. Andrew Skol
• Special Populations
• 40 min
  4. Admixture mapping

  • Dr. Paul McKeigue
• Whole-Genome Studies: Types of Data
• 34 min
  5. QTL association mapping

  • Prof. Bruce Weir
• 50 min
  6. Adjusting for population structure in genetic association studies

  • Prof. David Balding
• Whole-Genome Studies 2: Methods
• 47 min
  7. Whole-genome association studies: practical advice and considerations

  • Dr. Mike Weale
• Archived Lectures *These may not cover the latest advances in the field
• 49 min
  8. Family-based association tests: FBATs for various data types

  • Dr. Christoph Lange
• 44 min
  9. Choosing between family-based and population-based association designs

  • Dr. Ren-Hua Chung
• 54 min
  10. Use of isolated populations: pitfalls and potential

  • Dr. Leena Peltonen
• 40 min
  11. Information on untyped variation in genome-wide association studies

  • Dr. Dan Nicolae
• 37 min
  12. Detecting multiple associations in genome-wide studies

  • Prof. Frank Dudbridge
• 30 min
  13. Genome scanning by composite likelihood

  • Dr. Andrew Collins
• 41 min
  14. Multistage sampling for genetic studies

  • Prof. Robert Elston
• 39 min
  15. Screening large-scale association study data: exploiting multi-gene interactions with random forests

  • Dr. Kathryn Lunetta
• 43 min
  16. A survey of multi-locus methods for analysis of large SNP datasets

  • Mr. A. Geert Heidema
• 34 min
  17. Sequential analysis methods in genomic scans

  • Prof. Michael Province

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Preface
3. Overview
4. Multiple testing - the problem
5. Combining p-values
6. Power of combining p-values
7. Issues with combining p-values
8. Modeling true gene effects
9. Issues with modeling true effects
10. False discovery rate
11. False discovery variance
12. Variance of BH method
13. Other approaches to the variance
14. Power and sample size for FDR
15. Sample sizes to detect at least one SNP
16. Other error measures
17. Q-values vs. local FDR
18. False positive report probability
19. Multiple correlated tests
20. Standard permutation test
21. Fitting analytic distributions
22. Simulating correlated p-values
23. Summary
24. References

Topics Covered

• Multiplicity
• Combining evidence
• False discovery rate
• Q-value and local FDR
• False positive report probability
• Permutation testing

Links

Series:

• Genetic Epidemiology II

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on October 1, 2007
• Archived on February 25, 2021

Financial Disclosures

• Prof. Frank Dudbridge has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.