Jialiang Sun, Lanlan Chen, Peiliang Zhao, Xinquan Bai, Shu Nie, Yanan Li
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Meta-analyses were performed to combine UKB and FinnGen results using a fixed-effects model.</p><p><strong>Results: </strong>In FinnGen, the odds for asthma increased for every 1-SD increase in body mass index (BMI; odds ratio [OR] 1.292, <i>p</i> = 1.34 × 10<sup>-7</sup>), together with body fat percentage (BF%; OR 1.449, <i>p</i> = 4.90×10<sup>-3</sup>), and total cholesterol level (OR = 0.949, <i>p</i> = 0.027). However, higher BMI and BF% were found to increase the risk for asthma in the multivariate MR analysis. In the UKB, the BMI results were replicated. Meta-analysis revealed that high-density lipoprotein cholesterol could also increase the risk for asthma, although there were no associations with other risk factors included in this study.</p><p><strong>Conclusion: </strong>This MR study found that genetically predicted higher BF% and BMI could increase the risk for asthma and corroborated some risk factors for asthma from previous MR studies. 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引用次数: 0
摘要
目的:利用孟德尔随机化(MR)方法确定哮喘的因果危险因素。结果:在芬兰,体重指数(BMI)每增加1个标准差,哮喘的几率就会增加;优势比[OR] 1.292, p = 1.34 × 10-7),体脂率(BF%;OR = 1.449, p = 4.90×10-3)和总胆固醇水平(OR = 0.949, p = 0.027)。然而,在多变量MR分析中发现,较高的BMI和BF%增加了哮喘的风险。在英国,BMI的结果得到了重复。荟萃分析显示,高密度脂蛋白胆固醇也会增加哮喘的风险,尽管在本研究中没有发现与其他危险因素的关联。结论:本MR研究发现,基因预测较高的BF%和BMI可增加哮喘的风险,并证实了先前MR研究中哮喘的一些危险因素。此外,结果表明,较高的BMI和BF%可能是哮喘的独立危险因素。
New insights into causal relationship between serum lipids, obesity, and asthma: a Mendelian randomization study.
Objective: To identify causal risk factors for asthma using a Mendelian randomization (MR) approach.
Methods: Genetic variants associated with the exposures at the genome-wide significance level (p < 5 × 10 - 8) were obtained from corresponding genome-wide association studies. Summary-level statistical data for asthma were obtained from the UK Biobank (UKB) and the FinnGen Consortia. Univariate and multivariate MR analyses were performed to clarify causal relationships among obesity, serum lipids, and asthma. Meta-analyses were performed to combine UKB and FinnGen results using a fixed-effects model.
Results: In FinnGen, the odds for asthma increased for every 1-SD increase in body mass index (BMI; odds ratio [OR] 1.292, p = 1.34 × 10-7), together with body fat percentage (BF%; OR 1.449, p = 4.90×10-3), and total cholesterol level (OR = 0.949, p = 0.027). However, higher BMI and BF% were found to increase the risk for asthma in the multivariate MR analysis. In the UKB, the BMI results were replicated. Meta-analysis revealed that high-density lipoprotein cholesterol could also increase the risk for asthma, although there were no associations with other risk factors included in this study.
Conclusion: This MR study found that genetically predicted higher BF% and BMI could increase the risk for asthma and corroborated some risk factors for asthma from previous MR studies. Moreover, the results suggest that higher BMI and BF% could serve as independent risk factors for asthma.
期刊介绍:
Providing an authoritative open forum on asthma and related conditions, Journal of Asthma publishes clinical research around such topics as asthma management, critical and long-term care, preventative measures, environmental counselling, and patient education.