TY - JOUR
T1 - Investigating the polygenic relationship between heavy cannabis use and schizophrenia in the All of Us Research Program
AU - Austin-Zimmerman, Isabelle
AU - Thorpe, Hayley H.A.
AU - Meredith, John J.
AU - Khokhar, Jibran Y.
AU - Ge, Tian
AU - Di Forti, Marta
AU - Agrawal, Arpana
AU - Johnson, Emma C.
AU - Sanchez-Roige, Sandra
N1 - Publisher Copyright:
© The Author(s), 2025. Published by Cambridge University Press.
PY - 2025/12/17
Y1 - 2025/12/17
N2 - Background. Decades of research have identified a strong association between heavy cannabis use and schizophrenia (SCZ), with evidence of correlated genetic factors. However, many studies on the genetic relationship between cannabis use and psychosis have lacked data on both phenotypes within the same individuals, creating challenges due to unmeasured confounding. We aimed to address this by using multimodal data from the All of Us Research Program, whichcontains genetic data as well as information on SCZ diagnosis and cannabis use. Methods. We tested the association between cannabis use disorder (CUD) and SCZ polygenic scores (PGSs) with SCZ and heavy cannabis use. We tested models where both CUD and SCZ PGSs were included as joint predictors of heavy cannabis use and SCZ case status. We defined three sets of cases based on comorbidities: relaxed (assessing for only the primary condition), strict (excluding comorbidity), and dual-comorbidity. Results. CUD and SCZ polygenic liability were independently associated with heavy cannabis use; the SCZ PGS effect was very modest. In contrast, both SCZ and CUD PGSs were independently associated with SCZ, with independent significant effects of CUD PGS. Polygenic liability to CUD was associated with SCZ in individuals without a documented history of cannabis use, suggesting widespread pleiotropy. Conclusions. These findings underscore the need for comprehensive models that integrate genetic risk factors for heavy cannabis use to advance our understanding of SCZ etiology.
AB - Background. Decades of research have identified a strong association between heavy cannabis use and schizophrenia (SCZ), with evidence of correlated genetic factors. However, many studies on the genetic relationship between cannabis use and psychosis have lacked data on both phenotypes within the same individuals, creating challenges due to unmeasured confounding. We aimed to address this by using multimodal data from the All of Us Research Program, whichcontains genetic data as well as information on SCZ diagnosis and cannabis use. Methods. We tested the association between cannabis use disorder (CUD) and SCZ polygenic scores (PGSs) with SCZ and heavy cannabis use. We tested models where both CUD and SCZ PGSs were included as joint predictors of heavy cannabis use and SCZ case status. We defined three sets of cases based on comorbidities: relaxed (assessing for only the primary condition), strict (excluding comorbidity), and dual-comorbidity. Results. CUD and SCZ polygenic liability were independently associated with heavy cannabis use; the SCZ PGS effect was very modest. In contrast, both SCZ and CUD PGSs were independently associated with SCZ, with independent significant effects of CUD PGS. Polygenic liability to CUD was associated with SCZ in individuals without a documented history of cannabis use, suggesting widespread pleiotropy. Conclusions. These findings underscore the need for comprehensive models that integrate genetic risk factors for heavy cannabis use to advance our understanding of SCZ etiology.
KW - cannabis
KW - GWAS
KW - polygenic risk score
KW - psychosis
KW - schizophrenia
UR - https://www.scopus.com/pages/publications/105025025507
U2 - 10.1017/S0033291725102717
DO - 10.1017/S0033291725102717
M3 - Article
C2 - 41403271
AN - SCOPUS:105025025507
SN - 0033-2917
VL - 55
JO - Psychological medicine
JF - Psychological medicine
M1 - e381
ER -