Genetic Evidence Links Substance Use to Faster Biological Aging
Using genomic data from up to 2.7 million people, researchers found that genetic predisposition to tobacco and problematic alcohol use causally accelerated biological aging, with mixed evidence for cannabis use disorder.
Quick Facts
What This Study Found
Mendelian randomization analyses found significant causal effects of genetic predisposition to tobacco use disorder and smoking quantity on markers of biological, physical, and cognitive aging. Causal effects of problematic alcohol use and cannabis use disorder were also detected but with mixed results across different aging markers. Evidence of reverse causality (aging causing substance use) was minimal.
Key Numbers
GWAS data from 28,000 to 2.7 million participants. Widespread genetic correlations found between substance use/use disorders and aging metrics. Tobacco showed the strongest causal effects. Cannabis use disorder showed some causal effects but findings were mixed across aging markers.
How They Did This
Researchers used genome-wide association study data (sample sizes from 28K to 2.7M) to test genetic correlations between substance use and aging metrics using LDSC regression. Mendelian randomization was then used to assess causal relationships between genetic predisposition to substance use and various aging indices.
Why This Research Matters
This study uses genetic methods to move beyond correlation and test whether substance use actually causes accelerated aging. The approach helps disentangle whether substance users age faster because of their use or because of shared underlying factors.
The Bigger Picture
While tobacco's effect on aging is well established, this genetic approach provides some of the first causal evidence that cannabis use disorder may also contribute to accelerated biological aging, though the evidence is weaker and less consistent than for tobacco.
What This Study Doesn't Tell Us
Mendelian randomization assumes genetic instruments affect aging only through substance use, which may not always hold. Cannabis use disorder GWAS sample sizes are smaller than for tobacco or alcohol. Most data comes from European ancestry populations.
Questions This Raises
- ?Which specific aging pathways are affected by cannabis use disorder?
- ?Does the severity or duration of CUD matter for aging effects?
- ?Would larger cannabis-specific GWAS clarify the mixed findings?
Trust & Context
- Key Stat:
- Causal evidence for CUD and accelerated aging was mixed but present
- Evidence Grade:
- Moderate: large-scale genomic analysis using rigorous Mendelian randomization methods, but cannabis-specific findings were inconsistent across aging markers
- Study Age:
- Published in 2025
- Original Title:
- Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.
- Published In:
- Addiction biology, 30(7), e70066 (2025)
- Authors:
- Balbona, Jared V, Jeffries, Paul, Gorelik, Aaron J(3), Nelson, Elliot C, Bogdan, Ryan, Agrawal, Arpana, Johnson, Emma C
- Database ID:
- RTHC-06002
Evidence Hierarchy
A snapshot of a population at one point in time.
What do these levels mean? →Frequently Asked Questions
Does cannabis make you age faster?
This genetic study found some evidence that predisposition to cannabis use disorder is causally linked to markers of accelerated aging, but findings were mixed across different aging measures. The evidence is much stronger for tobacco and alcohol.
What is Mendelian randomization?
It is a genetic method that uses inherited DNA variants as natural experiments to test whether an exposure (like substance use) causally affects an outcome (like aging). Because genes are assigned at conception, this approach helps avoid the confounding that plagues observational studies.
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Cite This Study
https://rethinkthc.com/research/RTHC-06002APA
Balbona, Jared V; Jeffries, Paul; Gorelik, Aaron J; Nelson, Elliot C; Bogdan, Ryan; Agrawal, Arpana; Johnson, Emma C. (2025). Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.. Addiction biology, 30(7), e70066. https://doi.org/10.1111/adb.70066
MLA
Balbona, Jared V, et al. "Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.." Addiction biology, 2025. https://doi.org/10.1111/adb.70066
RethinkTHC
RethinkTHC Research Database. "Leveraging Genomic Data to Examine the Causal Impact of Alco..." RTHC-06002. Retrieved from https://rethinkthc.com/research/balbona-2025-leveraging-genomic-data-to
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.