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Advanced Methods for Statistical Genetics and Genomics

East Baltimore
4th Term
Academic Year
2023 - 2024
Instruction Method
Class Time(s)
M, W, 1:30 - 2:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Other Year
Next Offered
2025 - 2026

Master or PhD level statistical theory classes equivalent to the 140.646-649 series or higher. Similar level statistical theory classes in other department with a quantitative focus are acceptable, but require instructor approval.

Covers statistical methods and theory underlying advanced analysis of genetic and genomic data to address mechanistic hypotheses and to build models for prediction. Topics include methods for complex association testing, inference on genetic architecture using mixed model techniques, methods for understanding causal mechanisms using Mendelian randomization, and integrative genomic analysis and strategies for clinical translation using risk prediction models. Requires making presentations and critiquing published studies that have used advance statistical methods to make new scientific observations.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. use advanced methods for data analysis with an in depth understanding of strength and weakness of different methods
  2. identify gaps in current literature and conduct PhD level research to develop new methods
Methods of Assessment
This course is evaluated as follows:
  • 50% Two homework assignments
  • 50% Group presentations of papers of students’ choice
Special Comments

There are no required textbooks. A compiled list of recent publications will be made through CoursePlus ( Students can access the web supplement for this course through the CoursePlus system ( You must create an eLearning account to access this CoursePlus website. The “online library” of the course website contains printable handouts for each lecture. Course schedules, announcements, relevant links, and other organizational information are posted regularly on the course website. Lecture handouts will be available via CoursePlus