Sex‐specific causality of MRI‐derived body compositions on glycaemic traits: Mendelian randomization and observational study

Author:

Zhu Yijie12,Wang Qi12,Dai Huajie12,Hou Tianzhichao12,Wang Tiange12ORCID,Zhao Zhiyun12,Li Mian12ORCID,Miao Wei12,Yang Jian12,Lu Jieli12ORCID,Xu Yu12,Chen Yuhong12ORCID,Ning Guang12,Zheng Jie123,Bi Yufang12,Xu Min12ORCID,Wang Weiqing12

Affiliation:

1. Department of Endocrine and Metabolic Diseases Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China

2. Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China

3. MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol Bristol UK

Abstract

AbstractAimTo investigate the sex‐specific causality of body compositions in type 2 diabetes and related glycaemic traits using Mendelian randomization (MR).Materials and MethodsWe leveraged sex‐specific summary‐level statistics from genome‐wide association studies for three adipose deposits adjusted for body mass index and height, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VATadj) and gluteofemoral adipose tissue (GFATadj), measured by MRI (20 038 women; 19 038 men), and fat mass‐adjusted appendicular lean mass (ALMadj) (244 730 women; 205 513 men) in the UK Biobank. Sex‐specific statistics of type 2 diabetes were from the Diabetes Genetics Replication and Meta‐analysis Consortium and those for fasting glucose and insulin were from the Meta‐analyses of Glucose and Insulin‐related Traits Consortium. Univariable and multivariable MR (MVMR) were performed. We also performed MR analyses of anthropometric traits and genetic association analyses using individual‐level data of body composition as validation.ResultsUnivariable MR analysis showed that, in women, higher GFATadj and ALMadj exerted a causally protective effect on type 2 diabetes (GFATadj: odds ratio [OR] 0.59, 95% confidence interval [CI; 0.50, 0.69]; ALMadj: OR 0.84, 95% CI [0.77, 0.91]) and VATadj to be riskier in glycaemic traits. MVMR showed that GFATadj retained a robust effect on type 2 diabetes (OR 0.57, 95% CI [0.42, 0.77]; P = 2.6 × 10−4) in women, while it was nominally significant in men (OR 0.58, 95% CI [0.35, 0.96]; P = 3.3 × 10−2), after adjustment for ASATadj and VATadj. MR analyses of anthropometric measures and genetic association analyses of glycaemic traits confirmed the results.ConclusionsBody composition has a sex‐specific effect on type 2 diabetes, and higher GFATadj has an independent protective effect on type 2 diabetes in both sexes.

Funder

National Natural Science Foundation of China

Shanghai Municipal Education Commission

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3