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ORIGINAL RESEARCH article

Front. Musculoskelet. Disord.
Sec. Osteoporosis
Volume 2 - 2024 | doi: 10.3389/fmscd.2024.1399201

Association between Elevated Body mass index,waist-hip ratio and Sarcopenia-related trait: A Bidirectional Two-Sample, Two-Step Mendelian randomization study

Provisionally accepted
  • 1 Shandong First Medical University, Tai'an, China
  • 2 Department of Orthopedics, Shandong Provincial Hospital, Jinan, Shandong Province, China

The final, formatted version of the article will be published soon.

    Objective:The aim of this study is to examine the reciprocal causal association between elevated body mass index (BMI), waist-hip ratio, and Sarcopenia-related traits.Method:The bidirectional two-sample Mendelian randomization (MR) study was conducted in two stages: Firstly, we investigated body mass index (BMI) and waist-hip ratio (WHR) as the exposure variables, while examining sarcopenia-related traits as the outcome variables. Secondly, we reversed the roles of exposure and outcome variables. We performed a comprehensive two-sample MR analysis using inverse-variance weighted (IVW), multiplicative random effects with inverse variance weighting, weighted median, and MR-Egger regression methods. IVW served as our primary analysis method. For this study, statistical data on BMI (n=330793), waist-hip ratio (n=85978), and appendicular lean mass (ALM,n=450243) from genome-wide association studies (GWASs) conducted by UK Biobank were utilized.Results:For BMI and waist-hip ratio, we found 108 and 13 LD-independent(r 2 < 0.001,kb > 10000) instrumental variables that reached genome-wide significance(p <5×10 -8 ). The IVW method provided evidence for a potential causal r-elationship between elevated BMI, waist-hip ratio and Sarcopenia-related trait (OR=1.2691,95% CI:1.181~1.363,P =7.38e-11;Beta=2.922,SE=1.485,P = 0.0491). The MR-Egger analysis established a causal link between elevated BMI and tra-its related

    Keywords: Mendelian randomization, Sarcopenia, Body Mass Index, Waist-hip ratio (WHR), two-way analysis

    Received: 11 Mar 2024; Accepted: 06 Nov 2024.

    Copyright: © 2024 Zishuai and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jian Wang, Department of Orthopedics, Shandong Provincial Hospital, Jinan, 250021, Shandong Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.