September 28, 2023
Addiction affects everyone. The opioid epidemic has been particularly hard-hitting: in 2018, two of every three drug overdoses in the U.S. were due to opioids, according to the U.S. Department of Health and Human Services. Understanding the genetic links to drug dependency can reduce the likelihood of opioids being prescribed to high-risk patients.
In this webinar, Ray Cinti discusses the genetics and math used to evaluate the likelihood of an individual becoming addicted to a drug. He makes connections to personalized medicine, key classroom concepts like polymorphisms (SNPs), and how students can perform genetic analysis in the classroom using fast DNA gel electrophoresis, statistics, published data, and the Science of Opioid Dependence Kit.
This webinar was presented by Ray Cinti, a Biology Instructor at Green Mountain Valley School and Professor of Anatomy and Physiology at the Community College of Vermont. Ray has taught AP Biology, Anatomy and Physiology, and Biotechnology for over 37 years at the college, high school and middle school levels. A Bio-Rad Explorer Fellow, he has received two NSTA teaching awards in Biotechnology and Agricultural Science in 2018 and 2019 and has authored over 300 YouTube instructional videos.