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
{"title":"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","authors":"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","doi":"10.1161/CIRCGENETICS.115.001096","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":48940,"journal":{"name":"Circulation-Cardiovascular Genetics","volume":"10 1","pages":"37–44"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1161/CIRCGENETICS.115.001096","citationCount":"53","resultStr":"{\"title\":\"Genetic Susceptibility to Lipid Levels and Lipid Change Over Time and Risk of Incident Hyperlipidemia in Chinese Populations\",\"authors\":\"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\",\"doi\":\"10.1161/CIRCGENETICS.115.001096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":48940,\"journal\":{\"name\":\"Circulation-Cardiovascular Genetics\",\"volume\":\"10 1\",\"pages\":\"37–44\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1161/CIRCGENETICS.115.001096\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Circulation-Cardiovascular Genetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1161/CIRCGENETICS.115.001096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation-Cardiovascular Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1161/CIRCGENETICS.115.001096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
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.
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.