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

BACKGROUND: The 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...

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Autores principales: Mei, Ziwei, Li, Fuhao, Chen, Ruizhen, Xiao, Zilong, Cai, Dongsheng, Jin, Lie, Qian, Xu, Wang, Yucheng, Chen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478414/
https://www.ncbi.nlm.nih.gov/pubmed/37670254
http://dx.doi.org/10.1186/s12864-023-09633-6
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author Mei, Ziwei
Li, Fuhao
Chen, Ruizhen
Xiao, Zilong
Cai, Dongsheng
Jin, Lie
Qian, Xu
Wang, Yucheng
Chen, Jun
author_facet Mei, Ziwei
Li, Fuhao
Chen, Ruizhen
Xiao, Zilong
Cai, Dongsheng
Jin, Lie
Qian, Xu
Wang, Yucheng
Chen, Jun
author_sort Mei, Ziwei
collection PubMed
description BACKGROUND: The 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 RESULTS: We 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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09633-6.
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spelling pubmed-104784142023-09-06 Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study Mei, Ziwei Li, Fuhao Chen, Ruizhen Xiao, Zilong Cai, Dongsheng Jin, Lie Qian, Xu Wang, Yucheng Chen, Jun BMC Genomics Research BACKGROUND: The 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 RESULTS: We 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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09633-6. BioMed Central 2023-09-05 /pmc/articles/PMC10478414/ /pubmed/37670254 http://dx.doi.org/10.1186/s12864-023-09633-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mei, Ziwei
Li, Fuhao
Chen, Ruizhen
Xiao, Zilong
Cai, Dongsheng
Jin, Lie
Qian, Xu
Wang, Yucheng
Chen, Jun
Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title_full Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title_fullStr Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title_full_unstemmed Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title_short Causal associations between thyroid cancer and IgA nephropathy: a Mendelian randomization study
title_sort causal associations between thyroid cancer and iga nephropathy: a mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478414/
https://www.ncbi.nlm.nih.gov/pubmed/37670254
http://dx.doi.org/10.1186/s12864-023-09633-6
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