A Bayesian approach to
geographical genetics
What in the FST is going on?
What is FST?
Why be Bayesian?
You are here
Hillis, D. M., D. Zwickl, R. Gute
University of Texas
Erickson, R. O. Annals of the Missouri Botanical Garden 32:413-46
• Genetic drift
Wright. Genetics 16:97-159;1931.
• Genetic drift
• Mutation
Wright. Genetics 16:97-159;1931.
• Genetic drift
• Mutation
• Migration
Wright. Genetics 16:97-159;1931.
• Genetic drift:
• Mutation:
• Migration:
Evolutionary process parameters
• Determine characteristics of the
evolutionary ...
Variance of allele frequencies
among populations
Statistical
parameters
• Determine
statistical
distributions
Method of moments
• Calculate expectations of sample
statistics
• Equate parameters to
expectations
• Solve linear equatio...
Statistical
parameters
• Determine
statistical
distributionsBayesian method
Statistical
parameters
• Determine
statistical
distributionsMethod of moments and Bayesian
method estimate the same
parame...
?
This formulation – Wright
(nearly) equivalent formulation
using identity by descent –
Malécot
Statistical
parameters
• Determine
statistical
distributionsMethod of moments and Bayesian
method estimate the same
parame...
Why be Bayesian?
Formal models
clarify thinking
Flexible models encourage
exploration
Guo et al. Journal of the American Statistical Association 164:142-
Start with an idea (the prior)
Start with an idea (the prior)
Collect some data (the
likelihood)
Start with an idea (the prior)
Collect some data (the
likelihood)
Reach a conclusion (the
posterior)
A Bayesian approach to geographical genetics
A Bayesian approach to geographical genetics
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A Bayesian approach to geographical genetics

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Slides from my talk at the Philosophy of Science Association meetings in Montreal, November, 2010. See <a>my blog</a> for more information.

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A Bayesian approach to geographical genetics

  1. 1. A Bayesian approach to geographical genetics What in the FST is going on?
  2. 2. What is FST? Why be Bayesian?
  3. 3. You are here Hillis, D. M., D. Zwickl, R. Gute University of Texas
  4. 4. Erickson, R. O. Annals of the Missouri Botanical Garden 32:413-46
  5. 5. • Genetic drift Wright. Genetics 16:97-159;1931.
  6. 6. • Genetic drift • Mutation Wright. Genetics 16:97-159;1931.
  7. 7. • Genetic drift • Mutation • Migration Wright. Genetics 16:97-159;1931.
  8. 8. • Genetic drift: • Mutation: • Migration: Evolutionary process parameters • Determine characteristics of the evolutionary process
  9. 9. Variance of allele frequencies among populations
  10. 10. Statistical parameters • Determine statistical distributions
  11. 11. Method of moments • Calculate expectations of sample statistics • Equate parameters to expectations • Solve linear equations
  12. 12. Statistical parameters • Determine statistical distributionsBayesian method
  13. 13. Statistical parameters • Determine statistical distributionsMethod of moments and Bayesian method estimate the same parameters
  14. 14. ?
  15. 15. This formulation – Wright (nearly) equivalent formulation using identity by descent – Malécot
  16. 16. Statistical parameters • Determine statistical distributionsMethod of moments and Bayesian method estimate the same parameters
  17. 17. Why be Bayesian?
  18. 18. Formal models clarify thinking
  19. 19. Flexible models encourage exploration Guo et al. Journal of the American Statistical Association 164:142-
  20. 20. Start with an idea (the prior)
  21. 21. Start with an idea (the prior) Collect some data (the likelihood)
  22. 22. Start with an idea (the prior) Collect some data (the likelihood) Reach a conclusion (the posterior)

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