Mendelian randomization analysis of the association between human blood cell traits and uterine polyps

Abstract Human blood cells (HBCs) play essential roles in multiple biological processes but their roles in development of uterine polyps are unknown. Here we implemented a Mendelian randomization (MR) analysis to investigate the effects of 36 HBC traits on endometrial polyps (EPs) and cervical polyp...

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Autores principales: Shuliu Sun, Yan Liu, Lanlan Li, Minjie Jiao, Yufen Jiang, Beilei Li, Wenrong Gao, Xiaojuan Li
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ed1ad2fc92dd46e4914a2d3c886a54e5
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spelling oai:doaj.org-article:ed1ad2fc92dd46e4914a2d3c886a54e52021-12-02T13:20:04ZMendelian randomization analysis of the association between human blood cell traits and uterine polyps10.1038/s41598-021-84851-02045-2322https://doaj.org/article/ed1ad2fc92dd46e4914a2d3c886a54e52021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84851-0https://doaj.org/toc/2045-2322Abstract Human blood cells (HBCs) play essential roles in multiple biological processes but their roles in development of uterine polyps are unknown. Here we implemented a Mendelian randomization (MR) analysis to investigate the effects of 36 HBC traits on endometrial polyps (EPs) and cervical polyps (CPs). The random-effect inverse-variance weighted method was adopted as standard MR analysis and three additional MR methods (MR-Egger, weighted median, and MR-PRESSO) were used for sensitivity analyses. Genetic instruments of HBC traits was extracted from a large genome-wide association study of 173,480 individuals, while data for EPs and CPs were obtained from the UK Biobank. All samples were Europeans. Using genetic variants as instrumental variables, our study found that both eosinophil count (OR 0.85, 95% CI 0.79–0.93, P = 1.06 × 10−4) and eosinophil percentage of white cells (OR 0.84, 95% CI 0.77–0.91, P = 2.43 × 10−5) were associated with decreased risk of EPs. The results were robust in sensitivity analyses and no evidences of horizontal pleiotropy were observed. While we found no significant associations between HBC traits and CPs. Our findings suggested eosinophils might play important roles in the pathogenesis of EPs. Besides, out study provided novel insight into detecting uterine polyps biomarkers using genetic epidemiology approaches.Shuliu SunYan LiuLanlan LiMinjie JiaoYufen JiangBeilei LiWenrong GaoXiaojuan LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shuliu Sun
Yan Liu
Lanlan Li
Minjie Jiao
Yufen Jiang
Beilei Li
Wenrong Gao
Xiaojuan Li
Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
description Abstract Human blood cells (HBCs) play essential roles in multiple biological processes but their roles in development of uterine polyps are unknown. Here we implemented a Mendelian randomization (MR) analysis to investigate the effects of 36 HBC traits on endometrial polyps (EPs) and cervical polyps (CPs). The random-effect inverse-variance weighted method was adopted as standard MR analysis and three additional MR methods (MR-Egger, weighted median, and MR-PRESSO) were used for sensitivity analyses. Genetic instruments of HBC traits was extracted from a large genome-wide association study of 173,480 individuals, while data for EPs and CPs were obtained from the UK Biobank. All samples were Europeans. Using genetic variants as instrumental variables, our study found that both eosinophil count (OR 0.85, 95% CI 0.79–0.93, P = 1.06 × 10−4) and eosinophil percentage of white cells (OR 0.84, 95% CI 0.77–0.91, P = 2.43 × 10−5) were associated with decreased risk of EPs. The results were robust in sensitivity analyses and no evidences of horizontal pleiotropy were observed. While we found no significant associations between HBC traits and CPs. Our findings suggested eosinophils might play important roles in the pathogenesis of EPs. Besides, out study provided novel insight into detecting uterine polyps biomarkers using genetic epidemiology approaches.
format article
author Shuliu Sun
Yan Liu
Lanlan Li
Minjie Jiao
Yufen Jiang
Beilei Li
Wenrong Gao
Xiaojuan Li
author_facet Shuliu Sun
Yan Liu
Lanlan Li
Minjie Jiao
Yufen Jiang
Beilei Li
Wenrong Gao
Xiaojuan Li
author_sort Shuliu Sun
title Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
title_short Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
title_full Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
title_fullStr Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
title_full_unstemmed Mendelian randomization analysis of the association between human blood cell traits and uterine polyps
title_sort mendelian randomization analysis of the association between human blood cell traits and uterine polyps
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ed1ad2fc92dd46e4914a2d3c886a54e5
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