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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
- Outline of talk
- Polymorphisms in the genome
- Advantages of SNPs
- Analogy: dealing from deck of cards
- Recombination
- Functional vs. non-functional SNPs
- Causes of disequilibrium
- Equilibrium vs. disequilibrium conditions
- Measuring pairwise LD
- Example: chromosome 22
- Change in LD across chromosome 22
- Graphical models
- Independent random variables
- First order Markov chain
- Second order Markov chain
- Pedigree analysis
- Contingency tables
- Pairwise LD table
- 3-way LD
- 4-way LD
- Decomposition of a graphical model
- Cliques in a graphical model
- The running intersection property
- Reducing high dimension to low dimension
- Worked example
- Comparing graphical models using likelihoods (1)
- Comparing graphical models using likelihoods (2)
- Comparing graphical models using likelihoods (3)
- Choosing a graphical model
- Evaluating a graphical model
- Simulated annealing
- Example: ELAC2
- Selecting unrelated individuals
- Determining haplotypes
- Utah ELAC2 data subset
- Java program for graphical modelling of LD
- Phenotypic associations
- Java program: LD + phenotype
- Java program: best solution
- Testing for disease association (1)
- Testing for disease association (2)
- Testing for disease association (3)
- Testing for disease association: ELAC2
- Model sampling
- Java program: model sampling
- MCMC sample of 1,000,000 p-values
- Model sampling: ELAC2
- Java program: reduced SNP set
- Further developments
- Genotypic data
- Familial data
- Information on physical locations
- Physical ordering constraints
- Non-recombining DNA
- Advantages of graphical modelling
- Resources (1)
- Resources (2)
Topics Covered
- Describing linkage disequilibrium
- Visualisation approaches: triangular grid-plots and LD maps
- Graph theory as a useful way of describing complex LD patterns
- Software
Talk Citation
Thomas, A. (2004, September 1). Graphical modelling of linkage disequilibrium [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 1, 2025, from https://doi.org/10.69645/EFSK6912.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Alun Thomas has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.