2012年2月14日星期二

Evolutionary Quantitative Genetics - course material

There are course materials open sourced by the author, Bruce Walsh.



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

  • 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

  • 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

  • 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
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