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Body mass index, smoking behavior, and depression mediated the effects of schizophrenia on chronic obstructive pulmonary disease: trans-ethnic Mendelian-randomization analysis.
Ni, Yao; Zhang, DaWei; Tang, Wenlong; Xiang, Liming; Cheng, Xiaoding; Zhang, Youqian; Feng, Yanyan.
Affiliation
  • Ni Y; Department of Dermatovenereology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
  • Zhang D; Department of Clinical Laboratory, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
  • Tang W; Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Xiang L; Department of Dermatovenereology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
  • Cheng X; Department of Dermatovenereology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
  • Zhang Y; Department of Dermatovenereology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
  • Feng Y; Health Science Center, Yangtze University, Jingzhou, Hubei, China.
Front Psychiatry ; 15: 1405107, 2024.
Article in En | MEDLINE | ID: mdl-38846919
ABSTRACT

Background:

Previous studies have highlighted the association between schizophrenia (SCZ) and chronic obstructive pulmonary disease (COPD), yet the causal relationship remains unestablished.

Methods:

Under the genome-wide significance threshold (P<5×10-8), data from individuals of European (EUR) and East Asian (EAS) ancestries with SCZ were selected for analysis. Univariable Mendelian randomization (MR) explored the causal relationship between SCZ and COPD. Linkage disequilibrium score (LDSC) regression was used to calculate genetic correlation, while multivariable and mediation MR further investigated the roles of six confounding factors and their mediating effects. The primary method utilized was inverse-variance weighted (IVW), complemented by a series of sensitivity analyses and false discovery rate (FDR) correction.

Results:

LDSC analysis revealed a significant genetic correlation between SCZ and COPD within EUR ancestry (rg = 0.141, P = 6.16×10-7), with no such correlation found in EAS ancestry. IVW indicated a significant causal relationship between SCZ and COPD in EUR ancestry (OR = 1.042, 95% CI 1.013-1.071, P = 0.003, PFDR = 0.015). Additionally, replication datasets provide evidence of consistent causal associations(P < 0.05 & PFDR < 0.05). Multivariable and mediation MR analyses identified body mass index (BMI)(Mediation effect 50.57%, P = 0.02), age of smoking initiation (Mediation effect 27.42%, P = 0.02), and major depressive disorder (MDD) (Mediation effect 60.45%, P = 6.98×10-5) as partial mediators of this causal relationship. No causal associations were observed in EAS (OR = 0.971, 95% CI 0.875-1.073, P = 0.571, PFDR = 0.761) ancestry. No causal associations were found in the reverse analysis across the four ancestries (P > 0.05 & PFDR > 0.05).

Conclusions:

This study confirmed a causal relationship between SCZ and the risk of COPD in EUR ancestry, with BMI, smoking, and MDD serving as key mediators. Future research on a larger scale is necessary to validate the generalizability of these findings across other ancestries.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Psychiatry Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Psychiatry Year: 2024 Document type: Article Affiliation country: