Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study

Background: The relationship between different types of autoimmune diseases and myelodysplastic syndrome (MDS) is inconclusive. Therefore, we employed Mendelian randomization (MR) to examine whether genetically predicted susceptibility to ten autoimmune diseases is associated with the risk of MDS.Me...

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Main Authors: Zhengyang Miao, Wenwei Zhu, Yongming Zhou, Hailin Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Hematology
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Online Access:https://www.tandfonline.com/doi/10.1080/16078454.2024.2433799
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author Zhengyang Miao
Wenwei Zhu
Yongming Zhou
Hailin Chen
author_facet Zhengyang Miao
Wenwei Zhu
Yongming Zhou
Hailin Chen
author_sort Zhengyang Miao
collection DOAJ
description Background: The relationship between different types of autoimmune diseases and myelodysplastic syndrome (MDS) is inconclusive. Therefore, we employed Mendelian randomization (MR) to examine whether genetically predicted susceptibility to ten autoimmune diseases is associated with the risk of MDS.Methods: Single nucleotide polymorphisms (SNPs) significantly associated with 10 autoimmune diseases were extracted from the summary statistics of European genome-wide association studies (GWAS). A two-sample MR analysis was performed using summary-level statistics sourced from GWAS datasets. Inverse-variance weighting (IVW), MR–Egger, and weighted median (WM) were further supported by several sensitivity analyses.Results: Four autoimmune diseases showed genetical predisposition to MDS: rheumatoid arthritis (OR = 1.186,95% CI = 1.028-1.367, P = 0.019), multiple sclerosis (OR = 1.247, 95% CI = 1.013-1.534, P = 0.037), myasthenia gravis (OR = 1.326,95% CI = 1.010-1.742, P = 0.042), and Hashimoto thyroiditis(OR = 1.519,95% CI = 1.008-2.290, P = 0.046). Nevertheless, no similar causal relationship was found between the remaining seven autoimmune diseases and MDS. The accuracy and robustness of these findings were confirmed by sensitivity tests.Conclusions: We are the first to use MR analysis to explore the relationship between autoimmune diseases and MDS. The mechanism needs to be further explored.
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spelling doaj-art-05915cfa109b4cccaae3d0d7c37f11cb2024-12-12T15:08:53ZengTaylor & Francis GroupHematology1607-84542024-12-0129110.1080/16078454.2024.2433799Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization studyZhengyang Miao0Wenwei Zhu1Yongming Zhou2Hailin Chen3Department of Hematology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of ChinaDepartment of Hematology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of ChinaDepartment of Hematology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of ChinaDepartment of Hematology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of ChinaBackground: The relationship between different types of autoimmune diseases and myelodysplastic syndrome (MDS) is inconclusive. Therefore, we employed Mendelian randomization (MR) to examine whether genetically predicted susceptibility to ten autoimmune diseases is associated with the risk of MDS.Methods: Single nucleotide polymorphisms (SNPs) significantly associated with 10 autoimmune diseases were extracted from the summary statistics of European genome-wide association studies (GWAS). A two-sample MR analysis was performed using summary-level statistics sourced from GWAS datasets. Inverse-variance weighting (IVW), MR–Egger, and weighted median (WM) were further supported by several sensitivity analyses.Results: Four autoimmune diseases showed genetical predisposition to MDS: rheumatoid arthritis (OR = 1.186,95% CI = 1.028-1.367, P = 0.019), multiple sclerosis (OR = 1.247, 95% CI = 1.013-1.534, P = 0.037), myasthenia gravis (OR = 1.326,95% CI = 1.010-1.742, P = 0.042), and Hashimoto thyroiditis(OR = 1.519,95% CI = 1.008-2.290, P = 0.046). Nevertheless, no similar causal relationship was found between the remaining seven autoimmune diseases and MDS. The accuracy and robustness of these findings were confirmed by sensitivity tests.Conclusions: We are the first to use MR analysis to explore the relationship between autoimmune diseases and MDS. The mechanism needs to be further explored.https://www.tandfonline.com/doi/10.1080/16078454.2024.2433799Mendelian randomization (MR)autoimmune diseases(ADs)genome-wide association studies (GWAS)myelodysplastic syndrome (MDS)single-nucleotide polymorphisms (SNPs)
spellingShingle Zhengyang Miao
Wenwei Zhu
Yongming Zhou
Hailin Chen
Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
Hematology
Mendelian randomization (MR)
autoimmune diseases(ADs)
genome-wide association studies (GWAS)
myelodysplastic syndrome (MDS)
single-nucleotide polymorphisms (SNPs)
title Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
title_full Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
title_fullStr Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
title_full_unstemmed Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
title_short Association between autoimmune diseases and myelodysplastic syndrome:a Mendelian randomization study
title_sort association between autoimmune diseases and myelodysplastic syndrome a mendelian randomization study
topic Mendelian randomization (MR)
autoimmune diseases(ADs)
genome-wide association studies (GWAS)
myelodysplastic syndrome (MDS)
single-nucleotide polymorphisms (SNPs)
url https://www.tandfonline.com/doi/10.1080/16078454.2024.2433799
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