Multiple myeloma, IL6, and risk of schizophrenia: A Mendelian randomization, transcriptome, and Bayesian colocalization study

Author:

Lin Shuyang1ORCID,Gao Bei2,Xu Rui3,Shang Hongming4,Xiong Yan2,Zhou Jiayi5,Yang Zhe6,Jiang Chao7,Yan Shumei8

Affiliation:

1. Division of Hematology, Department of Medicine Washington University School of Medicine in St Louis St Louis Missouri USA

2. Division of Genetics and Genomic Medicine, Department of Pediatrics Washington University School of Medicine in St. Louis St Louis Missouri USA

3. Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Guangdong China

4. Department of Medical Oncology, Dana‐Farber Cancer Institute Harvard Medical School Boston Massachusetts USA

5. Department of Hematology Fujian Medical University Union Hospital Fuzhou Fujian China

6. Department of Medicine Southern Medical University Guangzhou Guangdong China

7. Department of Cancer Center The People's Hospital of Baoan Shenzhen Guangdong China

8. Department of Pathology, Sun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangdong Provincial Clinical Research Center for Cancer Guangzhou China

Abstract

AbstractNumerous clinical studies speculated the association between multiple myeloma (MM) and inflammatory diseases; however, there is limited validation of these claims via establishing a causal relationship and revealing the underlying mechanism. This exploratory study employed bidirectional Mendelian randomization (MR) analysis to investigate the causal relationships between MM and inflammatory diseases, including atherosclerosis, asthma, ankylosing spondylitis, Alzheimer's disease (AD), Parkinson's disease (PD), sarcoidosis, inflammatory bowel disease, nonalcoholic fatty liver disease, type II diabetes, and schizophrenia (SZ). Transcriptomic and genome‐wide Bayesian colocalization analyses were further applied to reveal the underlying mechanism. A significant and previously unrecognized positive association was identified between genetic predisposition to MM and the risk of SZ. Two independent case reports showed that treatment‐resistant psychosis is due to underlying MM and is resolved by treating MM. From our MR analyses, various statistical methods confirmed this association without detecting heterogeneity or pleiotropy effects. Transcriptomic analysis revealed shared inflammation‐relevant pathways in MM and SZ patients, suggesting inflammation as a potential pathophysiological mediator of MM's causal effect on SZ. Bayesian colocalization analysis identified rs9273086, which maps to the protein‐coding region of HLA‐DRB1, as a common risk variant for both MM and SZ. Polymorphism of the HLA‐DRB1 allele has been implicated in AD and PD, further highlighting the impact of our results. Additionally, we confirmed that interleukin‐6 (IL‐6) is a risk factor for SZ through secondary MR, reinforcing the role of neuroinflammation in SZ etiology. Overall, our findings showed that genetic predisposition to MM, HLA‐DRB1 polymorphism, and enhanced IL‐6 signaling are associated with the increased risk of SZ, providing evidence for a causal role for neuroinflammation in SZ etiology.

Funder

National Key Research and Development Program of China

Publisher

Wiley

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