A specific gene variant in the cannabinoid receptor gene was linked to more frequent cannabis use around age 18

Carriers of the C allele at rs806374 in the cannabinoid receptor gene CNR1 used cannabis more frequently at the start of college (around age 18), but this genetic effect did not grow or shrink over the following six years.

Ashenhurst, James R et al.·Journal of studies on alcohol and drugs·2017·Preliminary EvidenceLongitudinal Cohort
RTHC-01327Longitudinal CohortPreliminary Evidence2017RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Longitudinal Cohort
Evidence
Preliminary Evidence
Sample
N=334

What This Study Found

Using latent growth curve modeling across 10 waves of data from ages 18 to 24, one variant in the cannabinoid receptor gene CNR1 (rs806374) was significantly associated with cannabis use frequency. C carriers used cannabis more frequently at study onset (around age 18) compared to non-carriers.

This genetic effect was specific to the level of use, not its trajectory. The rate at which cannabis use changed over time (growth) did not differ by genotype. Peer drug use was a strong predictor of individual cannabis use that grew in effect size over time, but it did not moderate the genetic association.

Key Numbers

rs806374 C carriers showed significantly higher cannabis use frequency at baseline (age ~18). Effect was on level only, not growth. 8 SNPs tested, 1 significant after multiple comparison correction. Peer drug use effect grew over time but did not moderate the genetic association. Sample: 334 non-Hispanic White participants across 10 waves.

How They Did This

Latent growth curve modeling of 10 longitudinal waves spanning ages 18.4 to 23.8 years in 334 non-Hispanic White participants. Eight independent SNPs in or near the CNR1 gene were tested for association with both level and growth of cannabis use. Peer drug use was included as a time-varying predictor and potential moderator. Corrections for multiple comparisons were applied.

Why This Research Matters

This study pinpoints a developmental window (around age 18) when a specific genetic variant influences cannabis use frequency. The fact that the genetic effect was limited to initial level, not trajectory, suggests that genetic vulnerability to cannabis may operate primarily during the transition out of high school, after which environmental factors like peer influence become more important.

The Bigger Picture

Genetics and environment do not simply add up; they operate in developmental windows. This finding that a cannabinoid receptor gene variant matters most around age 18 suggests that genetic vulnerability to cannabis may be particularly relevant during specific life transitions, which could help target prevention efforts.

What This Study Doesn't Tell Us

Small sample size (334 participants) limits statistical power. Restricted to non-Hispanic White individuals, so findings may not generalize to other populations. Only one of eight tested SNPs was significant, and the effect was modest. Self-reported cannabis use may be inaccurate.

Questions This Raises

  • ?What is the functional mechanism by which rs806374 affects cannabinoid receptor signaling?
  • ?Why does the genetic effect concentrate at age 18 specifically?
  • ?Would the finding replicate in larger, more diverse samples?
  • ?Does this variant interact with other genes to affect cannabis use risk?

Trust & Context

Key Stat:
CNR1 gene variant rs806374 associated with higher cannabis use at age 18 but not with use trajectory
Evidence Grade:
Longitudinal cohort study with genetic analysis. Strong repeated-measures design but limited by small sample size and restriction to one ethnic group.
Study Age:
Published in 2017. Larger genome-wide studies have since expanded the search for cannabis-associated genetic variants.
Original Title:
Developmentally Specific Associations Between CNR1 Genotype and Cannabis Use Across Emerging Adulthood.
Published In:
Journal of studies on alcohol and drugs, 78(5), 686-695 (2017)
Database ID:
RTHC-01327

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-ControlFollows or compares groups over time
This study
Cross-Sectional / Observational
Case Report / Animal Study

Follows a group of people over time to track how outcomes develop.

What do these levels mean? →

Frequently Asked Questions

Is there a "cannabis gene"?

No single gene determines cannabis use. This study found one variant in the cannabinoid receptor gene that influenced use frequency at a specific age. Cannabis use is influenced by hundreds of genetic variants, each with small effects, combined with environmental factors.

Does peer influence override genetics?

In this study, peer drug use was a strong predictor of cannabis use that grew in importance over time, while the genetic effect remained stable. However, peers did not modify the genetic effect, suggesting these are independent pathways rather than one overriding the other.

Read More on RethinkTHC

Cite This Study

RTHC-01327·https://rethinkthc.com/research/RTHC-01327

APA

Ashenhurst, James R; Harden, K Paige; Mallard, Travis T; Corbin, William R; Fromme, Kim. (2017). Developmentally Specific Associations Between CNR1 Genotype and Cannabis Use Across Emerging Adulthood.. Journal of studies on alcohol and drugs, 78(5), 686-695.

MLA

Ashenhurst, James R, et al. "Developmentally Specific Associations Between CNR1 Genotype and Cannabis Use Across Emerging Adulthood.." Journal of studies on alcohol and drugs, 2017.

RethinkTHC

RethinkTHC Research Database. "Developmentally Specific Associations Between CNR1 Genotype ..." RTHC-01327. Retrieved from https://rethinkthc.com/research/ashenhurst-2017-developmentally-specific-associations-between

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.