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Genetic susceptibility to obesity and diet intakes: association and interaction analyses in the Malmö Diet and Cancer Study

机译:肥胖和饮食摄入的遗传易感性:马尔默饮食与癌症研究中的关联和相互作用分析

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摘要

Gene–environment interactions need to be studied to better understand the obesity. We aimed at determining whether genetic susceptibility to obesity associates with diet intake levels and whether diet intakes modify the genetic susceptibility. In 29,480 subjects of the population-based Malmö Diet and Cancer Study (MDCS), we first assessed association between 16 genome-wide association studies identified obesity-related single-nucleotide polymorphisms (SNPs) with body mass index (BMI) and associated traits. We then conducted association analyses between a genetic risk score (GRS) comprising of 13 replicated SNPs and the individual SNPs, and relative dietary intakes of fat, carbohydrates, protein, fiber and total energy intake, as well as interaction analyses on BMI and associated traits among 26,107 nondiabetic MDCS participants. GRS associated strongly with increased BMI (P = 3.6 × 10−34), fat mass (P = 6.3 × 10−28) and fat-free mass (P = 1.3 × 10−24). Higher GRS associated with lower total energy intake (P = 0.001) and higher intake of fiber (P = 2.3 × 10−4). No significant interactions were observed between GRS and the studied dietary intakes on BMI or related traits. Of the individual SNPs, after correcting for multiple comparisons, NEGR1 rs2815752 associated with diet intakes and BDNF rs4923461 showed interaction with protein intake on BMI. In conclusion, our study does not provide evidence for a major role for macronutrient-, fiber- or total energy intake levels in modifying genetic susceptibility to obesity measured as GRS. However, our data suggest that the number of risk alleles as well as some of the individual obesity loci may have a role in regulation of food and energy intake and that some individual loci may interact with diet.Electronic supplementary materialThe online version of this article (doi:10.1007/s12263-013-0352-8) contains supplementary material, which is available to authorized users.
机译:需要研究基因与环境的相互作用,以更好地了解肥胖。我们旨在确定肥胖的遗传易感性是否与饮食摄入水平有关,以及饮食摄入是否会改变遗传易感性。在基于人群的马尔默饮食与癌症研究(MDCS)的29,480名受试者中,我们首先评估了16个全基因组关联研究之间的关联,这些关联研究确定了与肥胖相关的单核苷酸多态性(SNP)与体重指数(BMI)和相关性状。然后,我们进行了包含13个重复SNP和单个SNP的遗传风险评分(GRS)与相对饮食中脂肪,碳水化合物,蛋白质,纤维和总能量摄入的相对摄入量之间的关联分析,以及对BMI和相关性状的相互作用分析在26,107名非糖尿病MDCS参与者中。 GRS与BMI增加(P = 3.6×10 −34 ),脂肪量(P = 6.3×10 −28 )和无脂肪量(P = 1.3)密切相关×10 −24 )。 GRS越高,总能量摄入量越低(P = 0.001)和纤维摄入量越高(P = 2.3×10 −4 )。 GRS和研究的饮食摄入量对BMI或相关性状之间没有显着的相互作用。在校正了多个比较后,单个SNP中的NEGR1 rs2815752与饮食摄入量相关,而BDNF rs4923461显示与BMI上蛋白质摄入量存在相互作用。总之,我们的研究没有提供证据表明大量营养,纤维或总能量摄入水平在改变以GRS衡量的肥胖遗传易感性中起主要作用。但是,我们的数据表明,风险等位基因的数量以及某些个别的肥胖基因座可能在调节食物和能量摄入中起作用,并且某些个别的基因座可能与饮食相互作用。电子补充材料本文的在线版本( doi:10.1007 / s12263-013-0352-8)包含补充材料,授权用户可以使用。

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