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揭示体重指数对东亚人群复杂疾病的影响:孟德尔随机化全表型关联研究的见解

Unraveling the influence of body mass index on complex diseases in East Asians: Insights from Mendelian randomization phenome-wide association study.

作者信息

Wu Ben, Li Weixin, Xu Shuling, Chen Rumeng, Ding Yining, Xu Rong, Wu Zhu, Bao Meihua, He Binsheng, Li Sen

机构信息

Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China.

The First Affiliated Hospital of Changsha Medical University, Changsha, China.

出版信息

Medicine (Baltimore). 2025 Jun 27;104(26):e42998. doi: 10.1097/MD.0000000000042998.


DOI:10.1097/MD.0000000000042998
PMID:40587687
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12212858/
Abstract

Studies on the relationship between body mass index (BMI) and different disease phenotypes have either not included systematic causal inference or have mostly focused on European populations. This highlights the importance of conducting Mendelian randomization (MR) phenome-wide association study to explore the associations between BMI and various diseases in East Asian populations. MR phenome-wide association study was utilized in this study to identify possible causal associations between BMI and 159 clinical outcomes in East Asian populations. The main statistical metrics used were odds ratio (OR) and 95% confidence interval (95% CI), employing the MR inverse variance weighted method as the principal causal inference model. Complementing these findings were analyses such as weighted median, MR-Egger, and other sensitivity analyses. Elevated BMI correlated positively with various diseases, including cardiovascular diseases like myocardial infarction (OR = 1.49; 95% CI: 1.26-1.76) and peripheral arterial disease (OR = 1.69; 95% CI: 1.34-2.13), endocrine disorders like type 1 diabetes (OR = 2.29; 95% CI: 1.39-3.77), as well as increased risk of cataracts (OR = 1.19; 95% CI: 1.09-1.31). Concurrently, BMI was associated with a reduced risk of respiratory-related diseases like pneumonia (OR = 0.75; 95% CI: 0.63-0.89), as well as cancers like breast cancer (OR = 0.67; 95% CI: 0.53-0.84) and prostate cancer (OR = 0.66; 95% CI: 0.53-0.81). BMI is causally associated with specific systemic disorders in East Asian populations. This study contributes to understanding health inequalities across various races and populations and provides insights into global health issues.

摘要

关于体重指数(BMI)与不同疾病表型之间关系的研究,要么未纳入系统的因果推断,要么大多聚焦于欧洲人群。这凸显了开展孟德尔随机化(MR)全表型关联研究以探索东亚人群中BMI与各种疾病之间关联的重要性。本研究采用MR全表型关联研究来确定东亚人群中BMI与159种临床结局之间可能的因果关联。使用的主要统计指标是比值比(OR)和95%置信区间(95%CI),采用MR逆方差加权法作为主要的因果推断模型。对这些发现进行补充的分析包括加权中位数分析、MR-Egger分析和其他敏感性分析。BMI升高与多种疾病呈正相关,包括心血管疾病如心肌梗死(OR = 1.49;95%CI:1.26 - 1.76)和外周动脉疾病(OR = 1.69;95%CI:1.34 - 2.13)、内分泌疾病如1型糖尿病(OR = 2.29;95%CI:1.39 - 3.77),以及白内障风险增加(OR = 1.19;95%CI:1.09 - 1.31)。同时,BMI与呼吸道相关疾病如肺炎(OR = 0.75;95%CI:0.63 - 0.89)以及癌症如乳腺癌(OR = 0.67;95%CI:0.53 - 0.84)和前列腺癌(OR = 0.66;95%CI:0.53 - 0.81)的风险降低有关。在东亚人群中,BMI与特定的全身性疾病存在因果关联。本研究有助于理解不同种族和人群之间的健康不平等,并为全球健康问题提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/da60faf3ca2e/medi-104-e42998-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/21de5e7aaa08/medi-104-e42998-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/50ec4cc40377/medi-104-e42998-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/da60faf3ca2e/medi-104-e42998-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/21de5e7aaa08/medi-104-e42998-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/fe5d905a6dcd/medi-104-e42998-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/50ec4cc40377/medi-104-e42998-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/28ede9a0ada6/medi-104-e42998-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02c4/12212858/da60faf3ca2e/medi-104-e42998-g005.jpg

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[1]
Unraveling the influence of body mass index on complex diseases in East Asians: Insights from Mendelian randomization phenome-wide association study.

Medicine (Baltimore). 2025-6-27

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本文引用的文献

[1]
Causal associations of self-reported walking pace with respiratory diseases: A Mendelian randomization analysis.

Medicine (Baltimore). 2025-3-14

[2]
Causal associations between HbA1c and multiple diseases unveiled through a Mendelian randomization phenome-wide association study in East Asian populations.

Medicine (Baltimore). 2025-3-14

[3]
Exploring the causal association between epigenetic clocks and menopause age: insights from a bidirectional Mendelian randomization study.

Front Endocrinol (Lausanne). 2024

[4]
Environmental endocrine disruptor-induced mitochondrial dysfunction: a potential mechanism underlying diabetes and its complications.

Front Endocrinol (Lausanne). 2024

[5]
Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study.

Medicine (Baltimore). 2024-6-21

[6]
Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis.

Front Endocrinol (Lausanne). 2024

[7]
Obesity-related indicators and tuberculosis: A Mendelian randomization study.

PLoS One. 2024

[8]
Association between obesity and age-related cataract: an updated systematic review and dose-response meta-analysis of prospective cohort studies.

Front Nutr. 2024-1-31

[9]
Associations of obesity indices change with cardiovascular outcomes: a dose-response meta-analysis.

Int J Obes (Lond). 2024-5

[10]
Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study.

Front Endocrinol (Lausanne). 2023

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