Evolutionary Quantitative Genetics, Uppsala University, 30 January to 10 February, 2012
You are visitor number

 since 12 Feb 2012

INSTRUCTOR:
Notes and powerpoint slides are posted as pdf files. Chapters are draft version from our online site for the second volume, which contains a lot more additional material
Monday, 30 Jan. Basic statistics

Lecture 1: Basic Statistical tools
 Lecture 2: Matrix algebra
 Lecture 3: Linear models
Tuesday, 31 Jan: Basic Genetics
 Lecture 4: Introduction to Genetics
 Lecture 5: Introduction to Population Genetics
 Lecture 6: Introduction to Quantitative Genetics
 Notes: See Lecture 3
 Slides
 excel file for calculation average effects, variances from genotypes
Wes , 1 Feb: Resemblance between relatives
 Lecture 7: Resemblance between relatives
 Lecture 8: Estimation of genetic parameters
Thursday 2 Feb: Mixed models estimates of genetic parameters
 Lecture 9: Random effects and mixed models
 Lecture 10: Mixed model estimation of genetic variances
 Lecture 11: Maternal effects
Friday 3 Feb: Inbreeding, QTL mapping
 Lecture 12: Inbreeding/Crossbreeding
 Lecture 13: Major Genes
 Notes: Chapter 13 in Lynch & Walsh
 Slides
 Lecture 14: QTL1: Inbred line crosses
 Lecture 15: QTL2: Outbred line crosses, association mapping
Monday, 6 Feb: Tests of Selection
 Lecture 16: Genetic drift on traits
 Lecture 17: Population Genetics of Selection
 Lecture 18: Selective sweeps and background selection
 Lecture 19: Detecting selection using molecular markers I
Tuesday, 7 Feb.: Univariate Selection Response
 Lecture 20: Detecting selection using molecular markers II
 Lecture 21: Short term selection response in the mean
 Lecture 22: Short term response in the variance
 Lecture 23: Longterm response
Wed, 8 Feb: Estimating the fitness of traits
 Lecture 24: Fitness estimation I: Univariate
 Lecture 25: Fitness estimation II: Multivariate
 Lecture 26: Multivariate response 1: Changes in the mean
Thursday, 9 Feb: Multivariate response
 Lecture 27: Response in Natural Populations
 Lecture 28: Multivariate response 2: Changes in the covariance
 Lecture 29: Multivariate response 3: Comparing G matrices /
dimensionality of G
Friday, 10 Feb: Miscellaneous Advanced topics
 Lecture 30:
Associate effects models, kin/group selection, inclusive fitness
 Lecture 31: G x E
 Lecture 32: eQTLs and pathway analysis
 Lecture 33: directed graphs
 Lecture 34: The Infinitesimal model