The Utility of Genetic Testing in Predicting Drug Response in Chronic Pain

Understanding the impact of genetics could aid rational, precision drug choices. In the current study, investigators will focus on whether genetic analysis of drug processing using the Inagene platform could predict efficacy and side effect profile in patients prescribed medication for pain. In the investigator's clinic commonly employed medications included nortriptyline, duloxetine, topiramate, gabapentin, pregabalin, opioids (morphine derivatives, tramadol, tapentadol, buprenorphine patch), cesamet (a synthetic cannabinoid). To the investigator's knowledge this type of study has not been completed in this environment and/or patient population.

Research Objectives:

The main goal of this study is to determine whether genetic analysis of drug processing could help predict efficacy and side effect profiles of medications in a cohort of patients suffering from chronic pain.

In order to control for various clinical factors, patient reported outcomes will also be collected. As a standard part of any patient intake, pain diagrams, measures of pain, function, mental health status and exercise describe the conditions and relative impact will be included. Investigators will include various standardized and/or adapted versions of other questionnaires which will allow investigators to control for known confounders.

The following information will be collected at baseline