The Genomics of Opioid Addiction Longitudinal Study (GOALS): study design for a prospective evaluation of genetic and non-genetic factors for development of and recovery from opioid use disorder

Jessica Heil, Stefan Zajic, Emily Albertson, Andrew Brangan, Iris Jones, Wendy Roberts, Michael Sabia, Elliot Bodofsky, Alissa Resch, Rachel Rafeq, Rachel Haroz, Russell Buono, Thomas N. Ferraro, Laura Scheinfeldt, Matthew Salzman, Kaitlan Baston

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The opioid use disorder and overdose crisis in the United States affects public health as well as social and economic welfare. While several genetic and non-genetic risk factors for opioid use disorder have been identified, many of the genetic associations have not been independently replicated, and it is not well understood how these factors interact. This study is designed to evaluate relationships among these factors prospectively to develop future interventions to help prevent or treat opioid use disorder. Methods: The Genomics of Opioid Addiction Longitudinal Study (GOALS) is a prospective observational study assessing the interplay of genetic and non-genetic by collecting comprehensive genetic and non-genetic information on 400 participants receiving medication for opioid use disorder. Participants will be assessed at four time points over 1 year. A saliva sample will be collected for large-scale genetic data analyses. Non-genetic assessments include validated surveys measuring addiction severity, depression, anxiety, and adverse childhood experiences, as well as treatment outcomes such as urine toxicology results, visit frequency, and number of pre and post-treatment overdoses extracted from electronic medical records. Discussion: We will use these complex data to investigate the relative contributions of genetic and non-genetic risk factors to opioid use disorder and related treatment outcomes.

Original languageEnglish (US)
Article number16
JournalBMC Medical Genomics
Volume14
Issue number1
DOIs
StatePublished - Dec 2021

All Science Journal Classification (ASJC) codes

  • Genetics
  • Genetics(clinical)

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