Age at menarche, age at natural menopause, and risk of rheumatoid arthritis - a Mendelian randomization study.

IF 4.4 2区 医学 Q1 RHEUMATOLOGY
Jingjing Zhu, Zheng Niu, Lars Alfredsson, Lars Klareskog, Leonid Padyukov, Xia Jiang
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引用次数: 11

Abstract

Background: Hormonal reproductive factors have been suggested to play an important role in the etiology of rheumatoid arthritis (RA), an autoimmune inflammatory disorder affecting primarily women. We conducted a two-sample Mendelian randomization (MR) study examining three relevant exposures, age at menarche (AAM), age at natural menopause (ANM), and age at first birth (AFB) with the risk of RA.

Methods: We collected summary statistics from the hitherto largest GWAS conducted in AAM (N = 329,345), ANM (N = 69,360), AFB (N = 251,151), and RA (Ncase = 14,361, Ncontrol = 43,923), all of European ancestry. We constructed strong instruments using hundreds of exposure-associated genetic variants and estimated causal relationship through different MR approaches including an inverse-variance weighted method, an MR-Egger regression and a weighted median method. We conducted a multivariable MR to control for pleiotropic effect acting in particular through obesity and socioeconomic status. We also performed important sensitivity analyses to verify model assumptions.

Results: We did not find any evidence in support for a causal association between genetically predicted reproductive factors and risk of RA (ORper-SD increment in AAM = 1.06 [0.98-1.15]; ORper-SD increment in ANM = 1.05 [0.98-1.11], OR per-SD increment in AFB = 0.85 [0.65-1.10]). Results remained consistent after removing palindromic SNPs (ORper-SD increment in AAM = 1.06 [0.97-1.15], ORper-SD increment in ANM = 1.05 [0.98-1.13], ORper-SD increment in AFB = 0.81 [0.61-1.07]) or excluding SNPs associated with potential confounding traits (ORper-SD increment in AAM = 1.03 [0.94-1.12], ORper-SD increment in ANM = 1.04 [0.95-1.14]). No outlying instrument was identified through the leave-one-out analysis.

Conclusions: Our MR study does not convincingly support a casual effect of reproductive factors, as reflected by age at menarche, age at menopause, and age at first birth, on the development of RA. Despite the largely augmented set of instruments we used, these instruments only explained a modest proportion of phenotypic variance of exposures. Our knowledge regarding this topic is still insufficient and future studies with larger sample size should be designed to replicate or dispute our findings.

Abstract Image

月经初潮年龄、自然绝经年龄和类风湿关节炎风险——孟德尔随机研究。
背景:激素生殖因素已被认为在类风湿关节炎(RA)的病因学中起重要作用,类风湿关节炎是一种主要影响女性的自身免疫性炎症性疾病。我们进行了一项双样本孟德尔随机化(MR)研究,研究了三种相关暴露,月经初潮年龄(AAM)、自然绝经年龄(ANM)和第一胎年龄(AFB)与RA风险的关系。方法:我们收集了迄今为止最大的GWAS的汇总统计数据,其中包括AAM (N = 329,345), ANM (N = 69,360), AFB (N = 251,151)和RA (Ncase = 14,361, Ncontrol = 43,923),所有欧洲血统。我们使用数百种与暴露相关的遗传变异构建了强大的工具,并通过不同的MR方法(包括反方差加权方法、MR- egger回归和加权中位数方法)估计了因果关系。我们进行了一个多变量MR来控制多效效应,特别是通过肥胖和社会经济地位。我们还进行了重要的敏感性分析来验证模型假设。结果:我们没有发现任何证据支持遗传预测的生殖因素与RA风险之间的因果关系(AAM的ORper-SD增量= 1.06 [0.98-1.15];ANM的ORper-SD增量= 1.05 [0.98-1.11],AFB的ORper-SD增量= 0.85[0.65-1.10])。去除回显snp (AAM的ORper-SD增量= 1.06 [0.97-1.15],ANM的ORper-SD增量= 1.05 [0.98-1.13],AFB的ORper-SD增量= 0.81[0.61-1.07])或排除与潜在混杂性状相关的snp (AAM的ORper-SD增量= 1.03 [0.94-1.12],ANM的ORper-SD增量= 1.04[0.95-1.14])后,结果保持一致。通过留一分析未发现离群仪器。结论:我们的MR研究并不能令人信服地支持生殖因素对RA发展的偶然影响,如初潮年龄、绝经年龄和第一胎年龄。尽管我们使用了大量增加的工具,但这些工具只能解释暴露的适度表型方差。我们对这一主题的了解仍然不足,未来更大样本量的研究应该被设计来重复或质疑我们的发现。
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来源期刊
CiteScore
8.30
自引率
2.00%
发文量
261
审稿时长
2.3 months
期刊介绍: Established in 1999, Arthritis Research and Therapy is an international, open access, peer-reviewed journal, publishing original articles in the area of musculoskeletal research and therapy as well as, reviews, commentaries and reports. A major focus of the journal is on the immunologic processes leading to inflammation, damage and repair as they relate to autoimmune rheumatic and musculoskeletal conditions, and which inform the translation of this knowledge into advances in clinical care. Original basic, translational and clinical research is considered for publication along with results of early and late phase therapeutic trials, especially as they pertain to the underpinning science that informs clinical observations in interventional studies.
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