遗传因素是否改变肥胖和高甘油三酯血症之间的关系?:来自冰川和MDC研究的发现

Ashfaq Ali, T. Varga, Ivana A. Stojkovic, Christina-Alexandra Schulz, G. Hallmans, I. Barroso, A. Poveda, F. Renström, M. Orho-Melander, P. Franks
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引用次数: 7

摘要

背景:肥胖是血脂异常的主要危险因素,但这种关系是高度可变的。最近发表的来自两个丹麦队列的数据表明,遗传因素可能是这种差异的部分原因。方法和结果:我们在2个瑞典队列中测试了已建立的甘油三酯相关基因座是否改变了体重指数(BMI)和甘油三酯浓度之间的关系(基因-生活方式相互作用和复杂性状涉及疾病风险升高[冰川研究;N=4312]和Malmö饮食与癌症研究[N=5352])。通过将所有基因座的甘油三酯升高等位基因(按其确定的边际效应加权)相加,将遗传位点合并为加权遗传风险评分(WGRSTG)。BMI和WGRSTG都与冰川中甘油三酯浓度密切相关,每增加一个BMI单位(kg/m2),甘油三酯浓度就会增加2.8% (P= 8.4×10-84),每增加一个WGRSTG单位,甘油三酯浓度就会增加2% (P= 7.6×10-48)。WGRSTG的每一单位与正常体重者甘油三酯浓度升高1.5%和超重/肥胖者甘油三酯浓度升高2.4%相关(p相互作用=0.056)。瑞典队列的meta分析结果显示了统计学上显著的WGRSTG×BMI相互作用效应(p - interaction= 6.0×10-4),丹麦队列的数据(p - interaction= 6.5×10-7)进一步加强了这一效应。在瑞典队列的荟萃分析中,观察到名义上的3-way相互作用(WGRSTG×BMI×sex)的证据(p - interaction=0.03),其中WGRSTG×BMI相互作用仅在女性中具有统计学意义。通过蛋白质-蛋白质相互作用网络分析,我们确定了分子相互作用和途径,阐明了BMI和甘油三酯相关位点之间的代谢关系。结论:我们的研究结果提供了证据,表明身体肥胖加剧了高甘油三酯血症遗传易感性变异的影响,这种影响在女性中最为明显。
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Do Genetic Factors Modify the Relationship Between Obesity and Hypertriglyceridemia?: Findings From the GLACIER and the MDC Studies
Background—Obesity is a major risk factor for dyslipidemia, but this relationship is highly variable. Recently published data from 2 Danish cohorts suggest that genetic factors may underlie some of this variability. Methods and Results—We tested whether established triglyceride-associated loci modify the relationship of body mass index (BMI) and triglyceride concentrations in 2 Swedish cohorts (the Gene–Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk [GLACIER Study; N=4312] and the Malmö Diet and Cancer Study [N=5352]). The genetic loci were amalgamated into a weighted genetic risk score (WGRSTG) by summing the triglyceride-elevating alleles (weighted by their established marginal effects) for all loci. Both BMI and the WGRSTG were strongly associated with triglyceride concentrations in GLACIER, with each additional BMI unit (kg/m2) associated with 2.8% (P=8.4×10–84) higher triglyceride concentration and each additional WGRSTG unit with 2% (P=7.6×10–48) higher triglyceride concentration. Each unit of the WGRSTG was associated with 1.5% higher triglyceride concentrations in normal weight and 2.4% higher concentrations in overweight/obese participants (Pinteraction=0.056). Meta-analyses of results from the Swedish cohorts yielded a statistically significant WGRSTG×BMI interaction effect (Pinteraction=6.0×10–4), which was strengthened by including data from the Danish cohorts (Pinteraction=6.5×10–7). In the meta-analysis of the Swedish cohorts, nominal evidence of a 3-way interaction (WGRSTG×BMI×sex) was observed (Pinteraction=0.03), where the WGRSTG×BMI interaction was only statistically significant in females. Using protein–protein interaction network analyses, we identified molecular interactions and pathways elucidating the metabolic relationships between BMI and triglyceride-associated loci. Conclusions—Our findings provide evidence that body fatness accentuates the effects of genetic susceptibility variants in hypertriglyceridemia, effects that are most evident in females.
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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%
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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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