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Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits

BACKGROUND: Musculoskeletal disorders were commonly reported in patients with multiple sclerosis. However, the underlying etiology linking Multiple Sclerosis (MS) and musculoskeletal disorders is not well studied. With large-scale Genome-Wide Association Studies (GWAS) publicly available, we conduct...

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Autores principales: Jeong, Sohyun, Tsai, Ming-Ju, Shen, Changbing, Hsu, Yi-Hsiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516081/
https://www.ncbi.nlm.nih.gov/pubmed/37745316
http://dx.doi.org/10.1101/2023.09.12.23295444
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author Jeong, Sohyun
Tsai, Ming-Ju
Shen, Changbing
Hsu, Yi-Hsiang
author_facet Jeong, Sohyun
Tsai, Ming-Ju
Shen, Changbing
Hsu, Yi-Hsiang
author_sort Jeong, Sohyun
collection PubMed
description BACKGROUND: Musculoskeletal disorders were commonly reported in patients with multiple sclerosis. However, the underlying etiology linking Multiple Sclerosis (MS) and musculoskeletal disorders is not well studied. With large-scale Genome-Wide Association Studies (GWAS) publicly available, we conducted genetic correlation analysis to identify shared pleiotropic genetic effects between MS and musculoskeletal traits. We also conducted Mendelian Randomization (MR) to estimate the causal relation between MS and increased risks of musculoskeletal disorders. METHODS: Linkage Disequilibrium Score Regression (LDSR) analysis was performed to estimate heritability and genetic correlation. Univariable, multivariable, and bidirectional MR analyses were conducted to estimate the causal relation. These analyses were done by utilizing the recent GWAS summary statistics of MS, fracture, frailty, falls, and several musculoskeletal risk factors, including bone mineral density, lean mass, grip strengths, and vitamin D. RESULTS: LDSR analysis showed a moderate genetic correlation of MS with falls (RG=0.10, p=0.01) but not with fracture and frailty. Genetic variants (rs13191659) in LINC00240 gene which is associated with iron status biomarkers was found to be associated with both MS and falls. In MR analyses after excluding outlier SNPs with potential pleiotropic effects and correcting for multiple testing, MS presented no causal association with fracture and frailty but a minimal association with falls. Falls showed causally increased risks of fracture and frailty. CONCLUSION: Our study suggests a potential genetic correlation with shared pleiotropic genetic effects between MS and falls. However, we didn’t find evidence to support the causal relation between MS and increased risks of falls, fracture, and frailty.
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spelling pubmed-105160812023-09-23 Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits Jeong, Sohyun Tsai, Ming-Ju Shen, Changbing Hsu, Yi-Hsiang medRxiv Article BACKGROUND: Musculoskeletal disorders were commonly reported in patients with multiple sclerosis. However, the underlying etiology linking Multiple Sclerosis (MS) and musculoskeletal disorders is not well studied. With large-scale Genome-Wide Association Studies (GWAS) publicly available, we conducted genetic correlation analysis to identify shared pleiotropic genetic effects between MS and musculoskeletal traits. We also conducted Mendelian Randomization (MR) to estimate the causal relation between MS and increased risks of musculoskeletal disorders. METHODS: Linkage Disequilibrium Score Regression (LDSR) analysis was performed to estimate heritability and genetic correlation. Univariable, multivariable, and bidirectional MR analyses were conducted to estimate the causal relation. These analyses were done by utilizing the recent GWAS summary statistics of MS, fracture, frailty, falls, and several musculoskeletal risk factors, including bone mineral density, lean mass, grip strengths, and vitamin D. RESULTS: LDSR analysis showed a moderate genetic correlation of MS with falls (RG=0.10, p=0.01) but not with fracture and frailty. Genetic variants (rs13191659) in LINC00240 gene which is associated with iron status biomarkers was found to be associated with both MS and falls. In MR analyses after excluding outlier SNPs with potential pleiotropic effects and correcting for multiple testing, MS presented no causal association with fracture and frailty but a minimal association with falls. Falls showed causally increased risks of fracture and frailty. CONCLUSION: Our study suggests a potential genetic correlation with shared pleiotropic genetic effects between MS and falls. However, we didn’t find evidence to support the causal relation between MS and increased risks of falls, fracture, and frailty. Cold Spring Harbor Laboratory 2023-09-13 /pmc/articles/PMC10516081/ /pubmed/37745316 http://dx.doi.org/10.1101/2023.09.12.23295444 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Jeong, Sohyun
Tsai, Ming-Ju
Shen, Changbing
Hsu, Yi-Hsiang
Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title_full Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title_fullStr Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title_full_unstemmed Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title_short Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits
title_sort pleiotropic genetic effects between multiple sclerosis and musculoskeletal traits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516081/
https://www.ncbi.nlm.nih.gov/pubmed/37745316
http://dx.doi.org/10.1101/2023.09.12.23295444
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