Literature DB >> 33635908

Causal relationship between the timing of menarche and young adult body mass index with consideration to a trend of consistently decreasing age at menarche.

Hakyung Kim1, Seung-Ah Choe2, Soo Ji Lee1,3, Joohon Sung1.   

Abstract

Younger age at menarche (AAM) is associated with higher body mass index (BMI) for young women. Considering that continuous trends in decreasing AAM and increasing BMI are found in many countries, we attempted to assess whether the observed negative association between AAM and young adult BMI is causal. We included 4,093 women from the Korean Genome and Epidemiology Study (KoGES) and Healthy twin Study (HTS) with relevant epidemiologic data and genome-wide marker information. To mitigate the remarkable differences in AAM across generations, we converted the AAM to a generation-standardized AAM (gsAAM). To test causality, we applied the Mendelian randomization (MR) approach, using a genetic risk score (GRS) based on 14 AAM-associated single nucleotide polymorphisms (SNPs). We constructed MR models adjusting for education level and validated the results using the inverse-variance weighted (IVW), weighted median (WM), MR-pleiotropy residual sum and outliers test (MR-PRESSO), and MR-Egger regression methods. We found a null association using observed AAM and BMI level (conventional regression; -0.05 [95% CIs -0.10-0.00] per 1-year higher AAM). This null association was replicated when gsAAM was applied instead of AAM. Using the two-stage least squares (2SLS) approach employing a univariate GRS, the association was also negated for both AAM and gsAAM, regardless of model specifications. All the MR diagnostics suggested statistically insignificant associations, but weakly negative trends, without evidence of confounding from pleiotropy. We did not observe a causal association between AAM and young adult BMI whether we considered the birth cohort effect or not. Our study alone does not exclude the possibility of existing a weak negative association, considering the modest power of our study design.

Entities:  

Year:  2021        PMID: 33635908      PMCID: PMC7909625          DOI: 10.1371/journal.pone.0247757

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  61 in total

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Authors:  M Lynn Ahmed; Ken K Ong; David B Dunger
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7.  Age at menarche and childhood body mass index as predictors of cardio-metabolic risk in young adulthood: A prospective cohort study.

Authors:  Chi Le-Ha; Lawrence J Beilin; Sally Burrows; Rae-Chi Huang; Martha Hickey; Trevor A Mori; Roger J Hart
Journal:  PLoS One       Date:  2018-12-21       Impact factor: 3.240

8.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

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10.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

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Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

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  1 in total

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  1 in total

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