Alayash, Zoheir and Nolde, Michael and Meisinger, Christa and Baurecht, Hansjoerg and Baumeister, Sebastian-Edgar (2021) Cannabis use and obesity-traits: A Mendelian randomization study. DRUG AND ALCOHOL DEPENDENCE, 226: 108863. ISSN 0376-8716, 1879-0046
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Background: Observational studies suggested that cannabis use is associated with decreased body fatness; however, observational studies are subject to confounding, making causal inference and determining the direction of these associations difficult. We performed Mendelian randomization (MR) using summary statistics from genome-wide association studies (GWAS) to investigate the potential causal association of cannabis use and obesity-related traits. Methods: We used 51 single nucleotide polymorphisms (SNPs) associated with lifetime cannabis use at P 1<x 10-5 from a GWAS of 184,765 individuals of European descent and 27 SNPs genome-wide associated with cannabis use disorder as instrumental variables. The GWAS for body mass index (BMI) was derived from a metaanalysis of up to 322,154 individuals, and the GWAS for waist circumference (WC) and waist-hip ratio (WHR) included 210,088 participants. Results: MR showed that lifetime cannabis use (beta = - 0.018, 95 % confidence interval (CI): - 0.05-0.015; Pvalue = 0.279, Q-value = 0.279) and cannabis use disorder (beta = 0.023, 95 % CI: 0.023-0.045; P-value = 0.034, Q-value = 0.092) were not associated with BMI. Considering WC and WHR as indicators of obesity, our findings did not support a causal association. Leave-one out analyses and pleiotropy-robust methods did not indicate bias in any of the estimates. Conclusions: Overall, the MR study provides little evidence that cannabis influences obesity related traits.
Item Type: | Article |
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Uncontrolled Keywords: | BODY-MASS INDEX; MARIJUANA USERS; NATIONAL-HEALTH; INSULIN; TOBACCO; WEIGHT; RISK; CONSUMPTION; DRONABINOL; THOUGHTS; Cannabis use; Obesity |
Subjects: | 600 Technology > 610 Medical sciences Medicine |
Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
Depositing User: | Dr. Gernot Deinzer |
Date Deposited: | 20 Sep 2022 07:20 |
Last Modified: | 20 Sep 2022 07:20 |
URI: | https://pred.uni-regensburg.de/id/eprint/47611 |
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