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Introduction to Statistical Genetics - Online Course

A 3-Day Livestream Seminar Taught by

Daniel E. Adkins
Course Dates:

Thursday, January 26 –
Saturday, January 28, 2023

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time)
1:30pm-3:30pm

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Genomic data has transformed biomedical research and is now becoming a ubiquitous feature of large social and behavioral datasets. Integrating genomic data into the analysis of health, behavioral, and social outcomes makes it possible to model a range of processes, including polygenic risk and gene-environment interplay, as well as control for genetic factors to more accurately estimate environmental effects. However, the start-up costs of learning the specialized tools and techniques of statistical genetics can be a deterrent.

The goal of this seminar is to impart a thorough conceptual understanding of statistical genetics, and to equip you with the technical skills to conduct a range of popular statistical genetic analyses. Topics covered include: managing high dimensional genomic data; linear and logistic genome-wide association studies (GWAS); population stratification; multiple testing; mixed model GWAS methods for nonindependent samples; basic and advanced polygenic scoring; genome-environment interaction models; and an overview of the key software tools.

Starting January 26, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions.

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"As a research scientist, this has really helped develop a new tool in my arsenal."

“Outstanding outline of methodology and software. As a research scientist, this has really helped develop a new tool in my arsenal.”

Malcolm McCallum

Langston University

"Daniel is probably one the best professors I've had."

“The instructors are so helpful! Daniel is probably one the best professors I’ve had. He is able to explain complex problems or concepts using very simple and understandable language.”

Hannah Han

McGill University