STATISTICS IN HUMAN GENETICS
Provides a comprehensive survey of statistical methods in human genetics research. Covered topics include linkage analysis, genome-wide association study, rare variant association analysis, meta-analysis, genome and variant annotation, heritability estimation, multi-trait modeling techniques, multi-omic data integration, and genetic risk prediction.
Topics
- linkage analysis
- genome-wide association study
- rare variant association analysis
- meta-analysis
- genome and variant annotation
- heritability estimation
- multi-trait modeling techniques
- multi-omic data integration
- and genetic risk prediction
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: STAT 333 , 340 , or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Recognize problems in human genetics that are appropriate for statistical modeling Audience: Both Grad & Undergrad 2. Identify appropriate statistical procedures and computational algorithms for different tasks Audience: Both Grad & Undergrad 3. Gain practical experience in applying a select set of statistical methods on real data and evaluate its outputs Audience: Both Grad & Undergrad 4. Evaluate the strengths and weaknesses of different statistical and computational approaches designed for a specific biological problem Audience: Graduate Learning Outcomes: 1. Recognize problems in human genetics that are appropriate for statistical modeling Audience: Both Grad & Undergrad 2. Identify appropriate statistical procedures and computational algorithms for different tasks Audience: Both Grad & Undergrad 3. Gain practical experience in applying a select set of statistical methods on real data and evaluate its outputs Audience: Both Grad & Undergrad 4. Evaluate the strengths and weaknesses of different statistical and computational approaches designed for a specific biological problem Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- STATISTICS IN HUMAN GENETICS · 3 credits.