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1. Introduction
2. Statistical modelling of population admixture
3. Genetic and environmental explanations
4. Ethnic differences in disease risk
5. Type 2 diabetes: variation in prevalence
6. Type 2 diabetes: prevalence in Asian migrants
7. Type 2 diabetes: effect of gene flow
8. Relation of SLE risk to individual admixture
9. Finding genes that influence complex traits
10. Exploiting admixture to map genes
11. Statistical power of admixture mapping
12. Advantages of admixture mapping
13. Admixture between low and high-risk populations
14. Diseases amenable to admixture mapping (1)
15. Diseases amenable to admixture mapping (2)
16. An experimental cross between inbred strains
17. Problems of extending linkage analysis
18. Methods allowing linkage analysis extension
19. Model for stochastic variation of ancestry
20. Multipoint inference of ancestry at marker loci
21. Null hypothesis as graphical model
22. Statistical approach to model fitting
23. Statistical approaches to hypothesis testing
24. The score test algorithm
25. Advantages of the score test algorithm
26. Other model diagnostics: "Bayesian p-values"
27. Ancestry information conveyed by diallelic marker
28. How many markers are required?
29. Panels of ancestry-informative markers
30. Recent successes with admixture mapping
31. Do these studies require a control group?
32. Fine mapping in admixed populations
33. Other applications of admixture modelling

Topics Covered

• Applications of statistical modelling of population admixture
• Genetic and environmental explanations for ethnic differences in disease risk
• Methods for finding genes that influence complex traits
• Exploiting admixture to map genes
• Statistical power of admixture mapping
• Advantages of admixture mapping in comparison with other approaches to finding disease susceptibility genes
• Methodological problems of extending linkage analysis of a cross to admixed human populations
• Statistical methods that allow linkage analysis of a cross to be extended to admixed humans
• Model for stochastic variation of ancestry on chromosomes inherited from an admixed parent
• Multipoint inference of ancestry at marker loci from genotypes
• Null hypothesis as graphical model
• Statistical approach to model fitting and hypothesis testing
• The score test algorithm
• Other model diagnostics: "Bayesian p-values"
• How many markers are required for genome-wide admixture mapping?
• Panels of ancestry-informative markers
• Other applications of statistical modelling of admixture

Links

Series:

• Genetic Epidemiology II

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on October 1, 2007

Financial Disclosures

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