Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study

BMC Genomics

Research

Dongsheng Cai¹  Zilong Xiao²  Ruizhen Chen²  Yucheng Wang²  Xu Qian³  Lie Jin⁴  Fuhao Li⁵  Jun Chen⁵  Ziwei Mei⁶ 

[1] Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China;Department of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Medical College of Fudan University, Shanghai, China;Department of Clinical Laboratory, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, 310022, Hangzhou, China;Lishui Municipal Central hospital, 323000, Lishui, Zhejiang, China;Zhejiang Chinese Medical University, 310000, Hangzhou, Zhejiang, China;Zhejiang Chinese Medical University, 310000, Hangzhou, Zhejiang, China;Lishui Municipal Central hospital, 323000, Lishui, Zhejiang, China;

关键词: Thyroid cancer;    IgA nephropathy;    Mendelian randomization;    Genetics;   

DOI  :  10.1186/s12864-023-09633-6

 received in 2023-01-12, accepted in 2023-08-28,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundThe incidence of kidney disease caused by thyroid cancer is rising worldwide. Observational studies cannot recognize whether thyroid cancer is independently associated with kidney disease. We performed the Mendelian randomization (MR) approach to genetically investigate the causality of thyroid cancer on immunoglobulin A nephropathy (IgAN).Methods and resultsWe explored the causal effect of thyroid cancer on IgAN by MR analysis. Fifty-two genetic loci and single nucleotide polymorphisms were related to thyroid cancer. The primary approach in this MR analysis was the inverse variance weighted (IVW) method, and MR‒Egger was the secondary method. Weighted mode and penalized weighted median were used to analyze the sensitivity. In this study, the random-effect IVW models showed the causal impact of genetically predicted thyroid cancer across the IgAN risk (OR, 1.191; 95% CI, 1.131–1.253, P < 0.001). Similar results were also obtained in the weighted mode method (OR, 1.048; 95% CI, 0.980–1.120, P = 0.179) and penalized weighted median (OR, 1.185; 95% CI, 1.110–1.264, P < 0.001). However, the MR‒Egger method revealed that thyroid cancer decreased the risk of IgAN, but this difference was not significant (OR, 0.948; 95% CI, 0.855–1.051, P = 0.316). The leave-one-out sensitivity analysis did not reveal the driving influence of any individual SNP on the association between thyroid cancer and IgAN.ConclusionThe IVW model indicated a significant causality of thyroid cancer with IgAN. However, MR‒Egger had a point estimation in the opposite direction. According to the MR principle, the evidence of this study did not support a stable significant causal association between thyroid cancer and IgAN. The results still need to be confirmed by future studies.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

Fig. 6

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