• 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. FBAT testing strategies for large-scale studies
3. Genome-wide association studies
4. Using the same data set for screening and testing
5. General concept proposed by Laird and Lange
6. Application to family-based association tests (1)
7. Application to family-based association tests (2)
8. The conditional mean model
9. The conditional mean model: assumptions
10. The conditional mean model: notation
11. The FBAT-statistic
12. Genetic model under the alternative hypothesis
13. The concept of the conditional mean model
14. The variables of the conditional mean model
15. The screening technique for multiple markers
16. PBAT's screening techniques for multiple SNPs
17. The three steps of the screening technique
18. Framingham heart study
19. Genome-wide association results
20. BMI in Framingham heart study
21. Replication (recessive model)
22. Important observations from Herbert et al (2006)
23. Key to success in Herbert et al. (2006)
24. Summary of the approach
25. Extensions
26. Software implementation

Topics Covered

• Genome-wide association studies
• Using the same data set for screening and testing
• The conditional mean model
• The FBAT-statistic
• Genetic model under the alternative hypothesis
• The concept of the conditional mean model
• The screening technique for multiple markers
• PBAT's screening techniques for multiple SNPs
• The 3 steps of the screening technique
• The Framingham heart study
• Replication (recessive model) from other studies
• Important observations from Herbert et al. (2006)
• Summary of the approach
• Extensions
• Software implementation

Links

Series:

• Genetic Epidemiology II

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Lange, C. (2007, October 1). Family-based association tests: FBAT testing strategies for large-scale association studies [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved March 28, 2025, from https://doi.org/10.69645/MUMO8918.
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Publication History

• Published on October 1, 2007

Financial Disclosures

• Dr. Christoph Lange has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.