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

被引:19
作者
Zhu, Jingjing [1 ]
Niu, Zheng [2 ]
Alfredsson, Lars [3 ]
Klareskog, Lars [4 ]
Padyukov, Leonid [4 ]
Jiang, Xia [3 ,5 ,6 ,7 ]
机构
[1] Zhejiang Chinese Med Univ, Affiliated Hosp 1, Hangzhou, Peoples R China
[2] Zhejiang Univ, Affiliated Hangzhou Peoples Hosp 1, Dept Gynecol, Sch Med, Hangzhou, Peoples R China
[3] Karolinska Inst, Ctr Mol Med, Dept Clin Neurosci, Tomtebodavagen 5, S-17177 Stockholm, Sweden
[4] Karolinska Inst, Ctr Mol Med, Stockholm, Sweden
[5] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Program Genet Epidemiol & Stat Genet, Boston, MA 02115 USA
[6] Sichuan Univ, West China Sch Publ Hlth, Chengdu, Peoples R China
[7] Sichuan Univ, West China Fourth Hosp, Chengdu, Peoples R China
关键词
Mendelian randomization; Rheumatoid arthritis; Age at menarche; Age at natural menopause; Age at first birth; EDUCATION; ESTROGEN;
D O I
10.1186/s13075-021-02495-x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 (N-case = 14,361, N-control = 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.
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