Identifying genetic overlaps in obesity and metabolic disorders unlocking unique and shared mechanistic insights

IF 8.2 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Free Radical Biology and Medicine Pub Date : 2025-02-23 DOI:10.1016/j.freeradbiomed.2025.02.033
Liwan Fu , Xiaodi Han , Yuquan Wang , Yue-Qing Hu
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Abstract

Objective

Obesity has a high heritability and frequently co-occurs with metabolic disorders, indicating shared genetic susceptibility. The underlying causative genes and biological mechanisms of obesity and metabolic disorders remain predominantly elusive.

Methods

The FinnGen R11 dataset, including over 450,000 subjects, was employed in conjunction with the Genotype-Tissue Expression Project (GTEx) v8 eQTls dataset to conduct cross-tissue transcriptome association studies, Functional Summary-based Imputation in single tissues, and Gene Analysis combined with Multimarker Analysis of Genomic Annotation, respectively, for identifying distinct and shared genetic architectures of obesity and metabolic disorders. We also employed RHOGE to ascertain the genetic correlation and putative causal directions between them. Subsequent Mendelian randomization, colocalization analyses, and other cell and tissue enrichment analyses were employed to enhance our understanding of the functional implications of these susceptibility genes.

Results

A total of 35 genes were identified as obesity susceptibility and 10 genes linked to metabolic disorder susceptibility. Of these, three genes (MCM6, MAPRE3 and UBXN4) were identified as being shared. Mendelian randomization and colocalization analyses revealed the three shared genes have causal associations with obesity and metabolic disorders and serve as independent signals. Subsequent analyses indicated MCM6 may influence obesity and metabolic disorder risk by regulating DNA replication, cell proliferation, and interactions with chemical responses. MAPRE3 may confer protective effects against obesity and metabolic disorders through PAK Pathway, while UBXN4 may involve in regulating cholesterol metabolism.

Conclusion

Our study provides insight into the novel shared genetic mechanism between obesity and metabolic disorders and identifies potential targets for pharmacological intervention.

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确定肥胖和代谢紊乱的基因重叠,解锁独特和共享的机制见解。
目的:肥胖具有高遗传力,常与代谢性疾病同时发生,具有共同的遗传易感性。肥胖和代谢紊乱的潜在致病基因和生物学机制仍然难以捉摸。方法:利用FinnGen R11数据集,包括超过45万名受试者,与基因型-组织表达项目(GTEx) v8 eQTls数据集结合,分别进行跨组织转录组关联研究、基于单一组织的功能汇总(Functional Summary-based Imputation)和基因分析结合基因组注释的多标记分析(Multimarker Analysis of Genomic Annotation),以确定肥胖和代谢紊乱的独特遗传结构和共享遗传结构。我们还使用RHOGE来确定它们之间的遗传相关性和假定的因果方向。随后的孟德尔随机化、共定位分析和其他细胞和组织富集分析被用来加强我们对这些易感基因功能影响的理解。结果:共有35个基因被确定为肥胖易感性,10个基因与代谢紊乱易感性相关。其中,三个基因(MCM6, MAPRE3和UBXN4)被确定为共享基因。孟德尔随机化和共定位分析表明,这三个共享基因与肥胖和代谢紊乱有因果关系,并作为独立的信号。随后的分析表明,MCM6可能通过调节DNA复制、细胞增殖以及与化学反应的相互作用来影响肥胖和代谢紊乱风险。MAPRE3可能通过PAK通路对肥胖和代谢紊乱具有保护作用,UBXN4可能参与调节胆固醇代谢。结论:我们的研究为肥胖和代谢紊乱之间的共同遗传机制提供了新的见解,并确定了药物干预的潜在靶点。
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来源期刊
Free Radical Biology and Medicine
Free Radical Biology and Medicine 医学-内分泌学与代谢
CiteScore
14.00
自引率
4.10%
发文量
850
审稿时长
22 days
期刊介绍: Free Radical Biology and Medicine is a leading journal in the field of redox biology, which is the study of the role of reactive oxygen species (ROS) and other oxidizing agents in biological systems. The journal serves as a premier forum for publishing innovative and groundbreaking research that explores the redox biology of health and disease, covering a wide range of topics and disciplines. Free Radical Biology and Medicine also commissions Special Issues that highlight recent advances in both basic and clinical research, with a particular emphasis on the mechanisms underlying altered metabolism and redox signaling. These Special Issues aim to provide a focused platform for the latest research in the field, fostering collaboration and knowledge exchange among researchers and clinicians.
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