Non-SOT Event: Multi-omics Boot Camp: Analysis of Omics Data for Research Studies

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.

By the end of the boot camp, 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.

Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.

Prerequisites and Requirements: 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 Posit Cloud (formerly RStudio Cloud) account. All lab sessions will be done using Posit Cloud.

Additional Information:
- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/multi-omics
- Email us with any questions: ColumbiaSHARP.Multiomics@gmail.com