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GN 721 Genetic Data Analysis

³Ò±·Ìý721/³§°ÕÌý721ÌýÌýGenetic Data AnalysisÌýÌý(3 credit hours)ÌýÌý

The course aims to provide students with the relevant background knowledge and quantitative skills for conducting genetic data analysis to evaluate the genetic effects of complex traits. The course will focus on statistical methodologies and analytical strategies for population-based association studies with genotype and sequencing data collected from whole genome and exome. The specific topics include genetic variants; genetic identity coefficients and its applications; heritability; Hardy-Weinberg disequilibrium; recombination; linkage disequilibrium and association mapping; genome-wide association studies (GWAS); population substructures; multiple testing; single-variant and multi-variant association methods; next-generation sequencing (NGS) data and rare variant analysis; copy number variant analysis; analysis using summary statistics.

Prerequisite: ³§°ÕÌý511 or equivalent

Typically offered in Fall only

This course is offered alternate 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),  ³§°ÕÌý721 / 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),  ³§°ÕÌý721 / 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),  ³§°ÕÌý721 / 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