中国人群脂质水平和脂质随时间变化的遗传易感性及高脂血症发生的风险

Xiangfeng Lu, Jianfeng Huang, Z. Mo, Jiang He, Laiyuan Wang, Xueli Yang, Aihua Tan, Aihua Tan, Shufeng Chen, Jingping Chen, C. Gu, Jichun Chen, Jichun Chen, Y. Li, Liancheng Zhao, Hongfan Li, Yongchen Hao, Jianxin Li, J. Hixson, Yunzhi Li, Yunzhi Li, Min Cheng, Min Cheng, Xiaoli Liu, Jie Cao, Fangcao Liu, Fangcao Liu, Chen Huang, Chong Shen, Jinjin Shen, Lin Yu, Li-hua Xu, J. Mu, Xianping Wu, Xianping Wu, X. Ji, D. Guo, Zheng-yuan Zhou, Zili Yang, Renping Wang, Jun Yang, Weili Yan, Xiaozhong Peng, D. Gu
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引用次数: 53

摘要

背景:与血脂水平相关的多个基因位点主要在欧洲被发现,这些基因位点在多大程度上可以预测血脂水平随时间的增加和未来高脂血症的发病率,这一问题在很大程度上仍然是未知的。方法和结果:我们对8344名受试者的血脂水平全基因组关联研究进行了荟萃分析,随后进行了包括14739名额外个体的重复研究。我们复制了先前报道的17个位点。我们还在之前的区域(HLA-C、LIPG和LDLR)中发现了3个具有全基因组意义的中国特异性变异。在一项前瞻性队列研究中,对6428人进行了8.1年的随访,几乎所有的变异都导致了血脂水平的改变和高脂血症的发生。脂质水平变化与LPL、TRIB1、APOA1-C3-A4-A5、LIPC、CETP和LDLR的相关性最强(P值范围为4.84×10−4至4.62×10−18),而LPL、TRIB1、ABCA1、APOA1-C3-A4-A5、CETP和APOE与高脂血症的相关性最强(P值范围为1.20×10−3至4.67×10−16)。4种脂质遗传风险评分与相应的脂质水平和高脂血症发生风险的线性增加独立相关。c统计分析显示,在包括基线脂质水平在内的传统危险因素之上,对高脂血症事件的预测有显著改善。结论:与欧洲人相比,这些发现发现了中国人与血脂相关的等位基因异质性的一些证据。个体变异和累积效应是血脂升高和高脂血症发生的独立危险因素。
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Genetic Susceptibility to Lipid Levels and Lipid Change Over Time and Risk of Incident Hyperlipidemia in Chinese Populations
Background—Multiple genetic loci associated with lipid levels have been identified predominantly in Europeans, and the issue of to what extent these genetic loci can predict blood lipid levels increases over time and the incidence of future hyperlipidemia remains largely unknown. Methods and Results—We conducted a meta-analysis of genome-wide association studies of lipid levels in 8344 subjects followed by replication studies including 14 739 additional individuals. We replicated 17 previously reported loci. We also newly identified 3 Chinese-specific variants in previous regions (HLA-C, LIPG, and LDLR) with genome-wide significance. Almost all the variants contributed to lipid levels change and incident hyperlipidemia >8.1-year follow-up among 6428 individuals of a prospective cohort study. The strongest associations for lipid levels change were detected at LPL, TRIB1, APOA1-C3-A4-A5, LIPC, CETP, and LDLR (P range from 4.84×10−4 to 4.62×10−18), whereas LPL, TRIB1, ABCA1, APOA1-C3-A4-A5, CETP, and APOE displayed significant strongest associations for incident hyperlipidemia (P range from 1.20×10−3 to 4.67×10−16). The 4 lipids genetic risk scores were independently associated with linear increases in their corresponding lipid levels and risk of incident hyperlipidemia. A C-statistics analysis showed significant improvement in the prediction of incident hyperlipidemia on top of traditional risk factors including the baseline lipid levels. Conclusions—These findings identified some evidence for allelic heterogeneity in Chinese when compared with Europeans in relation to lipid associations. The individual variants and those cumulative effects were independent risk factors for lipids increase and incident hyperlipidemia.
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来源期刊
Circulation-Cardiovascular Genetics
Circulation-Cardiovascular Genetics CARDIAC & CARDIOVASCULAR SYSTEMS-GENETICS & HEREDITY
CiteScore
3.95
自引率
0.00%
发文量
0
期刊介绍: Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease. Manuscripts are examined by the editorial staff and usually evaluated by expert reviewers assigned by the editors. Both clinical and basic articles will also be subject to statistical review, when appropriate. Provisional or final acceptance is based on originality, scientific content, and topical balance of the journal. Decisions are communicated by email, generally within six weeks. The editors will not discuss a decision about a manuscript over the phone. All rebuttals must be submitted in writing to the editorial office.
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