Genetic associations between obesity and brain cortical thickness: combined genetic correlation, multi-trait meta- analysis and Mendelian randomization.

IF 3.2 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Jiankun Chen, Simin Pan, Yingfei Tan, Yuan Wu, Taoliang Huang, Bin Huang, Changcai Xie, Shubin Cai, Jiqiang Li, Yue Lu, Yu Chen
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引用次数: 0

Abstract

Introduction: Obesity may lead to cognitive impairment and neuropsychiatric disorders, which are associated with changes in the brain cortical structure, particularly in cortical thickness. However, the exact genetic association between obesity and brain cortical thickness remains inconclusive. We aimed to identify the relationship between obesity-related traits [body mass index (BMI), waist-hip ratio (WHR), and waist-hip ratio adjusted for BMI (WHRadjBMI)] and brain cortical thickness.

Methods: Leveraging summary statistics of large-scale GWAS(s) conducted in European-ancestry populations on BMI(N=806,834), WHR(N=697,734), WHRadjBMI (N=694,649), and brain cortex thickness (N=33,709), we performed GWAS combining genetic correlation, multi-trait meta-analysis and Mendelian randomization analysis.

Results: Our findings revealed a strong genetic correlation between BMI and brain cortical thickness(rg=-0.0542, P=0.0435), and a significant result was also observed for WHR and brain thickness (rg=-0.0744, P=0.009). In addition, we identified three loci between obesity-related traits. MR analysis supported the causal role of BMI (IVW beta=-0.006, 95% CI=-0.011- -3.85E-04;weighted median beta=-0.006, 95% CI=-0.013- -0.002), WHR (IVW beta=-0.011, 95% CI=-0.018- -0.005; weighted median beta=-0.008, 95% CI=-0.018- -0.003) and WHRadjBMI (IVW beta =0.011 95% CI=-0.018- -0.005; weighted median beta=-0.008, 95% CI=-0.018- -0.002) in brain cortical thickness.

Conclusion: This study has shown that genetically predicted obesity-related traits have a causal relationship with reduced cortical thickness. These findings provide genetic evidence for a link between obesity and structural changes in the brain, and suggest that obesity may be associated with neuropsychiatric disorders by affecting brain structure, particularly cortical thickness.

肥胖与大脑皮质厚度之间的遗传关联:综合遗传相关、多性状荟萃分析和孟德尔随机化。
肥胖可导致认知障碍和神经精神障碍,这与大脑皮质结构的变化,特别是皮质厚度的变化有关。然而,肥胖和大脑皮质厚度之间确切的遗传关联仍然没有定论。我们旨在确定肥胖相关特征[体重指数(BMI)、腰臀比(WHR)和经BMI调整的腰臀比(WHRadjBMI)]与大脑皮质厚度之间的关系。方法:利用在欧洲血统人群中进行的大规模GWAS(s)的汇总统计数据,包括BMI(N=806,834)、WHR(N=697,734)、WHRadjBMI (N=694,649)和脑皮质厚度(N=33,709),我们将遗传相关、多性状荟萃分析和孟德尔随机化分析相结合进行GWAS。结果:BMI与脑皮质厚度之间存在较强的遗传相关性(rg=-0.0542, P=0.0435), WHR与脑皮质厚度之间存在显著的遗传相关性(rg=-0.0744, P=0.009)。此外,我们还确定了肥胖相关性状之间的三个位点。MR分析支持BMI (IVW β =-0.006, 95% CI=-0.011 ~ -3.85 e -04;加权中位数β =-0.006, 95% CI=-0.013 ~ -0.002)、WHR (IVW β =-0.011, 95% CI=-0.018 ~ -0.005;加权中位数β =-0.008, 95% CI=-0.018- -0.003)和WHRadjBMI (IVW β =0.011, 95% CI=-0.018- -0.005;加权中位数β =-0.008, 95% CI=-0.018- -0.002)。结论:这项研究表明,基因预测的肥胖相关性状与皮质厚度减少有因果关系。这些发现为肥胖和大脑结构变化之间的联系提供了遗传学证据,并表明肥胖可能通过影响大脑结构,特别是皮层厚度与神经精神疾病有关。
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来源期刊
Neuroendocrinology
Neuroendocrinology 医学-内分泌学与代谢
CiteScore
8.30
自引率
2.40%
发文量
50
审稿时长
6-12 weeks
期刊介绍: ''Neuroendocrinology'' publishes papers reporting original research in basic and clinical neuroendocrinology. The journal explores the complex interactions between neuronal networks and endocrine glands (in some instances also immunecells) in both central and peripheral nervous systems. Original contributions cover all aspects of the field, from molecular and cellular neuroendocrinology, physiology, pharmacology, and the neuroanatomy of neuroendocrine systems to neuroendocrine correlates of behaviour, clinical neuroendocrinology and neuroendocrine cancers. Readers also benefit from reviews by noted experts, which highlight especially active areas of current research, and special focus editions of topical interest.
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