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B M I 620

STATISTICS IN HUMAN GENETICS

3 credits.

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

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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

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