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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
-
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
-
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
- Outline of talk
- Definitions
- Concepts of meiosis
- Meiosis and recombination
- Phasing
- Linkage analysis, phase known
- Linkage analysis of phase known family
- LOD Score
- Estimation and testing
- Phase unknown example
- Classic paradigm for isolating genetic effects
- Selection of families for segregation
- Segregation analysis versus linkage analysis
- Penetrance and linkage
- Elston-Stewart algorithm (1)
- Elston-Stewart algorithm (2)
- Elston-Stewart algorithm (3)
- Elston-Stewart algorithm for linkage
- Implementing the Elston-Stewart algorithm
- Programs using the Elston-Stewart algorithm
- The Lander-Green algorithm
- Implementing the L-G algorithm (1)
- Implementing the L-G algorithm (2)
- How to model larger pedigrees?
- Modeling larger pedigrees
- Effect of locus heterogeneity
- Locus heterogeneity
- Multipoint linkage analysis: no locus heterogeneity
- Multipoint linkage analysis: heterogeneity
- Biases in data from an incorrect genetic model
- How can we detect linkage?
- Linkage analysis for uncertain models
- Gene I.B.D.
- Model-free analysis for diseases
- Analyzing complex pedigrees
- Haseman-Elston test for genetic linkage (1)
- Haseman-Elston test for genetic linkage (2)
- Variance-components: tests for linkage
- Variance components analysis
- Summary
- References
Topics Covered
- Likelihood formulations for genetic analysis of family data
- The statistical framework for segregation and linkage analysis
- Types of sampling approaches useful for linkage analysis
- Modelling of linked genetic markers
- The impact of linkage disequilibrium on ability to detect linkage
- Modelling using less fully parametric approaches
- The affected sib pair and variance components approaches
Talk Citation
Amos, C. (2004, September 1). Genetic linkage analysis [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 1, 2025, from https://doi.org/10.69645/ZYCP6134.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Christopher Amos has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.