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Third Bangalore School on Population Genetics and Evolution
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GWAS in Structured Populations by Magnus Nordborg
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- 1 Third Bangalore School on Population Genetics and Evolution
- 2 GWAS in structured populations
- 3 The agenda
- 4 Like begets like Sir Francis Galton et al.
- 5 How many genes?
- 6 The simplest model possible Fisher 1918
- 7 Dominance and epistasis
- 8 Average effect
- 9 Variance decomposition
- 10 Heritability
- 11 Typically estimated from parent-offspring regression
- 12 How do we map genes?
- 13 Linkage mapping
- 14 So why do it?
- 15 ...if sample size is large enough...
- 16 The Human Genome Project meant markers were no longer limiting...
- 17 The promise
- 18 The HapMap Project
- 19 Coronary artery disease
- 20 The GWAS debacle
- 21 ...height has a heritability of 80%!
- 22 A random-effects model is used to estimate variance components
- 23 In other words. ..
- 24 Could have told you so!
- 25 "The world's most expensive test of the mutation-selection balance hypothesis"
- 26 There were Cassandras. ..
- 27 Population structure confounding in GWAS
- 28 GWAS works!
- 29 Science
- 30 Dealing with "population structure"
- 31 We understand this now...
- 32 The problem of fine mapping
- 33 ..but peak is far from the obvious candidate...
- 34 Including two co-factors eliminates spurious peak
- 35 A simulation example. ..
- 36 Some obvious extensions
- 37 Plants are not humans
- 38 Adaptation is different from disease
- 39 What about skin color?
- 40 Cabo Verde
- 41 Genome-wide markers explain much more
