Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
Journal Article
Overview
publication date
- August 1, 2020
has subject area
- Behavior, Addictive
- Biology - Genomics
- Central Nervous System Agents - Analgesics, Opioid
- Central Nervous System Agents - Analgesics, Opioid
- Chemically-Induced Disorders - Opioid-Related Disorders
- Disease Attributes - Genetic Predisposition to Disease
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Genome-Wide Association Study
- Female
- Genetic Association Studies - Genome-Wide Association Study
- Genetic Techniques - Genome-Wide Association Study
- Genetic Variation
- Genetics - Genomics
- Genome, Human
- Genotype - Genetic Predisposition to Disease
- Humans
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Genome-Wide Association Study
- Male
- Mental Disorders - Opioid-Related Disorders
- Multifactorial Inheritance
- Physiological Effects of Drugs - Analgesics, Opioid
- Sensory System Agents - Analgesics, Opioid
- Sequence Analysis - Genome-Wide Association Study
has restriction
- green
Date in CU Experts
- March 10, 2020 10:20 AM
Full Author List
- Polimanti R; Walters RK; Johnson EC; McClintick JN; Adkins AE; Adkins DE; Bacanu S-A; Bierut LJ; Bigdeli TB; Brown S
author count
- 45
citation count
- 51
published in
- Molecular Psychiatry Journal
Other Profiles
International Standard Serial Number (ISSN)
- 1359-4184
Electronic International Standard Serial Number (EISSN)
- 1476-5578
Digital Object Identifier (DOI)
Additional Document Info
start page
- 1673
end page
- 1687
volume
- 25
issue
- 8