Summer 2023 dates: Livestream, online training June 7-9, 2023; 12pm - ~6:15pm EDT
The Multi-omics Boot Camp is a three-day intensive boot camp of seminars and hands-on sessions to provide an overview of concepts and methods used to analyze multiple omics data in observational studies. Specific topics will include integrating germline genetic, gene expression, and exposomic data, gene-environment interaction, mediation, and polygenetic risk scores for assessing risk, estimating subgroups, and selecting relevant features.
This three-day intensive workshop will provide an overview of multiple approaches to analyze multiple omic data types measured on the same individuals or via the use of summary statistic data. Instructors have experience in developing and applying methods for omic analysis in genetic and environmental epidemiology and are members of an active program project focused on developing statistical methods for integrated analysis. The workshop will include seminar lectures with hands-on computer lab sessions to put concepts into practice. Since the analysis of multi-omic data is broad in scope, the workshop will survey a range of approaches and highlight the appropriate application and interpretation of each approach for specific research questions. The lab sessions will provide an opportunity to work hands-on with different types of omic data.
By the end of the workshop, participants will be familiar with the following topics:
- Data reduction, including clustering.
- Regression analysis, including regularized regression, hierarchical models, and partial least squares.
- Interaction analysis and Genome-wide interaction scans (GWIS).
- Mediation analysis.
- Polygenic/polyexposure analysis.
- Integrative analysis using genome-wide association study (GWAS) summary statistics.
Audience and Requirements
Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this training:
- Each participant must have an introductory background in statistics and epidemiology.
- Each participant must be familiar with R.
- Each participant is required to have a personal laptop/computer and a free, basic RStudio Cloud account. All lab sessions will be done using RStudio Cloud.
Additional Information
Capacity is limited. Paid registration is required to attend.
