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- Archived Lectures *These may not cover the latest advances in the field
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1. Segregation analysis
- Prof. Chris Cannings
- Dr. Dawn Teare
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2. Choosing the right study design in genetic epidemiology
- Prof. Duncan Thomas
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3. Genome-wide scans
- Prof. Michael Province
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4. The study of candidate genes in drug trials - sample size considerations
- Prof. Robert Elston
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5. Graphical modelling of linkage disequilibrium
- Prof. Alun Thomas
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6. Bayesian approaches for modelling complex metabolic pathways
- Prof. Duncan Thomas
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7. Current methods for the analysis of genetic case-control data: a review
- Prof. Duncan Thomas
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8. Detecting and correcting for population structure in genetic case-control studies
- Dr. Jonathan Pritchard
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9. Statistical characterization of genetic association
- Prof. Bruce Weir
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10. Haplotype-based mapping and pharmacogenetics
- Prof. David Goldstein
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11. Genetic linkage analysis
- Prof. Christopher Amos
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12. Use of DNA pooling in large-scale association studies
- Prof. Pak Sham
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13. Searching for genetic association using (haplotype) tagging SNPs
- Prof. David Clayton
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14. Heterogeneity: problems and solutions
- Prof. Michael Province
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15. Introduction to population genetics 1: single locus
- Prof. David Balding
- Dr. Andrew Morris
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16. Haplotype phase inference
- Prof. Peter Donnelly
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17. Optimal use of linkage disequilibrium, haplotypes, and integrated maps for positional cloning
- Prof. Newton Morton
- Dr. Andrew Collins
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18. Introductory genetics for statisticians
- Prof. Robert Elston
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19. Nature, nurture, neither?
- Prof. Steve Jones
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20. Introduction to population genetics 2: linkage disequilibrium
- Prof. David Balding
- Dr. Andrew Morris
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21. Fine-scale mapping
- Prof. David Balding
- Dr. Andrew Morris
Printable Handouts
Navigable Slide Index
- Introduction
- Mendelian vs. complex diseases (1)
- Mendelian vs. complex diseases (2)
- Approaches to gene discovery (1)
- Approaches to gene discovery (2)
- Linkage analysis
- Approaches to linkage analysis
- Affected sib pair method
- LOD score method
- Mendelian diseases
- Complex diseases
- Genetic association
- Designs for studying associations
- Association studies using unrelated individuals
- Control for population stratification
- Case-parent-triad design (1)
- Case-parent-triad design (2)
- Discordant sibship design (1)
- Discordant sibship design (2)
- Extensions of family-based case-control designs
- Discordant sibships: example
- Are larger sibships really cost-effective?
- Use of younger sibs as controls
- Kin cohort design
- Kin cohort estimates of breast cancer penetrance
- High risk family designs
- Complications
- Genotype decomposition method
- Whittemore and Halpern method
- Subtleties
- Interaction effects
- Multistage sampling designs
- Use of unrelated controls
- Case-control-family design
- Combining analysis using different designs
- Power for association studies
- Sample size software
- Quanto program (1)
- Quanto program (2)
- Quanto program (3)
- Quanto program (4)
- Quanto program (5)
- Quanto program (6)
- Quanto program (7)
- Quanto program (8)
- Quanto program (9)
- A suggested approach (1)
- A suggested approach (2)
Topics Covered
- Mendelian vs. complex diseases
- Approaches to gene discovery
- Overview of linkage and association analysis
- Association study designs
- Control for population stratification
- Use of younger siblings as controls
- Complications and subtleties
- Combining analyses using different designs
- Power for association studies
Talk Citation
Thomas, D. (2004, September 1). Choosing the right study design in genetic epidemiology [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 1, 2025, from https://doi.org/10.69645/GRHW4116.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Duncan Thomas has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.