SC-04 - State of the Art Pharmacoepidemiology: The Role of Pharmacogenomics and Precision Medicine

1. Course Aim

This course, sponsored by the Genomics & Precision Medicine SIG will focus on the essentials every pharmacoepidemiologist should know about real world applications of pharmacogenomics epidemiology including how to ensure their methods are cutting-edge. Participants will learn and discuss: (1) The role of pharmacogenomics in cross-validation of epidemiology studies: Why replication of epidemiological studies is not enough (B. Carleton); (2) The use of AI in dealing with pharmacogenomics and precision medicine in pharmacoepidemiology (A. Issa); (3) How to include pharmacogenomics and other -omics in pharmacoepidemiology studies (A.H Maitland van der Zee); (4) Phenotyping considerations and breaking down examples of pharmacogenomic successes (S. Kimmel); (5) The addition of patient reported data to pharmacogenomics and pharmacoepidemiology studies to enhance implementation (G. Bartlett).

2. Requisites Statement
Attendees should have basic knowledge of pharmacogenomics and a good understanding of pharmacoepidemiology.

3. Course Objectives
• To better understand the study design and methodologic approaches, their strengths and weakness used in pharmacogenomic epidemiology, specifically in relation to clinical applications.
• To understand the role that pharmacogenomics can play in pharmacovigilance and comparative effectiveness research.
• To gain knowledge about some available databases with linkage with genomic information.
• To learn about how artificial intelligence (AI) can be used in pharmacogenomics and precision medicine for pharmacoepidemiologic studies.
• To understand the benefits and challenges of pharmacogenomics in pharmacoepidemiology in both research and clinical practice applications.
• To learn what the role of pharmacoepidemiologists can be to move the field of molecular epidemiology forward, and to facilitate clinical implementation of pharmacogenomics.

4. Syllabus Outline

Welcome and Introduction to the Course Amalia M. Issa

This module will provide an overview of pharmacogenomics and the course and how pharmacoepidemiologists can contribute meaningfully to precision medicine as well as updates on the field and a horizon scan of where it is going.

Presentations with Real World Examples by Course Faculty:

Pharmacoepidemiologic Methods in Precision Medicine Research: It is All About the Application [Anke-Hilse Maitland-van der Zee]

This module will discuss different –omics layers and the way to analyse them in Precision Medicine research. This lecture will show that there is more than genomics, and that other layers like the microbiome and the transcriptome can be important for optimizing treatment for the individual patient.

Can AI Realize the Promise of Precision Medicine for Real World Pharmacoepidemiology? [Amalia M. Issa]

This module provides the most up-to-date studies of AI and precision medicine. The faculty speaker will lead an interactive presentation and discussion on how AI can move pharmacoepidemiologic precision medicine forward.

The Role of Pharmacogenomics in Cross-validation of Epidemiology Studies: Why Replication of Epidemiological Studies is Not Enough [Bruce Carleton]

This module will present up-to-date state of the science and describe real-world and up to date clinical applications relevant to the pharmacoepidemiologist. This module will describe many of the analytical techniques in genomic research which rely on pharmacoepidemiologic methods and how pharmacoepidemiologists can contribute to improving the quality of pharmacogenomic research and its value in clinical practice.

Phenotyping Considerations and Examples of Pharmacogenomic Successes: A Pharmacoepidemiologist’s Perspective [Stephen Kimmel]

This module will showcase pharmacogenomic success case studies and demonstrate how pharmacoepidemiologists can contribute to clinical and research successes.

How to Add Patient Reported Data for Pharmacogenomics and Pharmacoepidemiology Studies to Enhance Implementation [Gillian Bartlett]

This interactive module will demonstrate how to collect and use patient reported data. Attendees will gain important insights about how to collect useful health related quality of life data for pharmacogenomic applications from patient-participants in real world clinical settings.

Interactive Q&A Session with Course Faculty

Attendees are encouraged to bring questions, cases, studies they are thinking about for discussion with the course faculty and with each other.

Conclusion and Summary of Course with reminder to complete the course evaluations and to attend Genomics & Precision Medicine SIG meeting and Poster Walk --- Gillian Bartlett