Open access · CC-BY
via OpenAlex
Marijuana use and DNA methylation-based biological age in young adults
Drew Robert Nannini, Yinan Zheng, Brian Thomas Joyce, Tao Gao, Lei Liu, David R. Jacobs, Pamela J. Schreiner, Chunyu Liu, Steve Horvath, Ake Tzu-Hui Lu, Kristine S. Yaffe, Stephen S Sidney, Philip Greenland, Donald M. Lloyd‐Jones, Lifang Hou
Clinical Epigenetics · 2022 · ▲ 15 citations
Abstract
BACKGROUND: Marijuana is the third most commonly used drug in the USA and efforts to legalize it for medical and recreational use are growing. Despite the increase in use, marijuana's effect on aging remains understudied and understanding the effects of marijuana on molecular aging may provide novel insights into the role of marijuana in the aging process. We therefore sought to investigate the association between cumulative and recent use of marijuana with epigenetic age acceleration (EAA) as estimated from blood DNA methylation. RESULTS: A random subset of participants from The Coronary Artery Risk Development in Young Adults (CARDIA) Study with available whole blood at examination years (Y) 15 and Y20 underwent epigenomic profiling. Four EAA estimates (intrinsic epigenetic age acceleration, extrinsic epigenetic age acceleration, PhenoAge acceleration, and GrimAge acceleration) were calculated from DNA methylation levels measured at Y15 and Y20. Ever use and cumulative marijuana-years were calculated from the baseline visit to Y15 and Y20, and recent marijuana use (both any and number of days of use in the last 30 days) were calculated at Y15 and Y20. Ever use of marijuana and each additional marijuana-year were associated with a 6-month (P < 0.001) and a 2.5-month (P < 0.001) higher average in GrimAge acceleration (GAA) using generalized estimating equations, respectively. Recent use and each additional day of recent use were associated with a 20-month (P < 0.001) and a 1-month (P < 0.001) higher GAA, respectively. A statistical interaction between marijuana-years and alcohol consumption on GAA was observed (P = 0.011), with nondrinkers exhibiting a higher GAA (β = 0.21 [95% CI 0.05, 0.36], P = 0.008) compared to heavy drinkers (β = 0.05 [95% CI - 0.09, 0.18], P = 0.500) per each additional marijuana-year. No associations were observed for the remaining EAA estimates. CONCLUSIONS: These findings suggest cumulative and recent marijuana use are associated with age-related epigenetic changes that are related to lifespan. These observed associations may be modified by alcohol consumption. Given the increase in use and legalization, these findings provide novel insight on the effect of marijuana use on the aging process as captured through blood DNA methylation.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1186/s13148-022-01359-8
- Canonical
- link ↗
- Fetched
- 2026-10-16 MST
Cite this
APA
Nannini, D.R., Zheng, Y., Joyce, B.T., Gao, T., Liu, L., Jacobs, D.R., Schreiner, P.J., Liu, C., Horvath, S., Lu, A.T., Yaffe, K.S., Sidney, S.S., Greenland, P., Lloyd‐Jones, D.M., & Hou, L. (2022). Marijuana use and DNA methylation-based biological age in young adults. <em>Clinical Epigenetics</em>. https://doi.org/10.1186/s13148-022-01359-8
Vancouver
Nannini DR, Zheng Y, Joyce BT, Gao T, Liu L, Jacobs DR, et al. Marijuana use and DNA methylation-based biological age in young adults. Clinical Epigenetics. 2022. doi:10.1186/s13148-022-01359-8.
BibTeX
@article{drew2022Mariju,
title = {Marijuana use and DNA methylation-based biological age in young adults},
author = {Drew Robert Nannini and Yinan Zheng and Brian Thomas Joyce and Tao Gao and Lei Liu and David R. Jacobs and Pamela J. Schreiner and Chunyu Liu and Steve Horvath and Ake Tzu-Hui Lu and Kristine S. Yaffe and Stephen S Sidney and Philip Greenland and Donald M. Lloyd‐Jones and Lifang Hou},
journal = {Clinical Epigenetics},
year = {2022},
doi = {10.1186/s13148-022-01359-8},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Aging Cell 2023
Open access · CC-BY
The association between adverse childhood experiences and epigenetic age acceleration in the Canadian longitudinal study on aging ( CLSA )
JAMA Network Open 2023
Open access · CC-BY
Association of Adverse Childhood Experiences With Accelerated Epigenetic Aging in Midlife
The Journals of Gerontology Series A 2023
Open access · OA
Association of Neighborhood Deprivation and Depressive Symptoms With Epigenetic Age Acceleration: Evidence From the Canadian Longitudinal Study on Aging
Clinical Epigenetics 2020
Open access · CC-BY
Estimating breast tissue-specific DNA methylation age using next-generation sequencing data
Journal of Clinical Oncology 2025
Open access · OA
Association between epigenetic clocks and chemotoxicity in older adults with early breast cancer.
Epigenetics Communications 2022
Open access · CC-BY