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GN 757 Quantitative Genetics Theory and Methods

³Ò±·Ìý757/³§°ÕÌý757/±á³§Ìý757ÌýÌýQuantitative Genetics Theory and MethodsÌýÌý(3 credit hours)ÌýÌý

The essence of quantitative genetics is to study multiple genes and their relationship to phenotypes. How to study and interpret the relationship between phenotypes and whole genome genotypes in a cohesive framework is the focus of this course. We discuss how to use genomic tools to map quantitative trait loci, how to study epistasis, how to study genetic correlations and genotype-by-environment interactions. We put special emphasis in using genomic data to study and interpret general biological problems, such as adaptation and heterosis. The course is targeted for advanced graduate students interested in using genomic information to study a variety of problems in quantitative genetics.

Prerequisite: ³§°ÕÌý511

Typically offered in Fall only

This course is offered alternate even years

Genetics and Genomics (MR)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-mr/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology 4 Students will work with their advisor to select Advised Electives appropriate for their academic and professional goals. At most 3 credits of research may be used in the Advised Elective category.

Genetics and Genomics (MS)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-ms/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology 4 Students will work with their advisor to select Advised Electives appropriate for their academic and professional goals. At most 3 credits of research may be used in the Advised Elective category.

Genetics and Genomics (PhD)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-phd/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology