23.5万人的全基因组关联分析,揭示营养与健康的关系
创作:orchid 审核:兵兵 05月24日
  • 文章对23.5万多名欧洲原住民膳食中大量营养素-脂肪、蛋白质、碳水化合物和糖的相对摄入量进行全基因组关联分析,发现了21个独特的SNPs;
  • 蛋白质的相对摄入与不良健康状况关系最密切,与肥胖、2型糖尿病和心脏病的遗传正相关,在代谢功能障碍中起作用;
  • 相反,碳水化合物和糖的相对摄入量与腰围、腰臀比以及缺乏邻里呈负相关,与体育锻炼呈正相关;
  • 脂肪的相对摄入与不良健康状况没有一致的遗传相关性,但与受教育程度呈负相关。
主编推荐语
兵兵
文章纳入23.5万多名欧洲血统的人,基于三大营养素和糖的摄入,以及机体体征特点,进行全基因组关联分析(GWAS)。研究结果显示,不同营养素摄入与特定单核苷酸多态性(SNPs)显著相关。并且,脂质、蛋白质、碳水化合物和糖均对机体特点、相关慢性疾病等有正向或者反向相关性。尤其蛋白质的相对摄入与机体代谢功能障碍具有较强相关。由此可见膳食结构对健康的重要性。
关键字
延伸阅读本研究的原文信息和链接出处,以及相关解读和评论文章。欢迎读者朋友们推荐!
图片

Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

饮食成分的基因组分析发现新的基因位点及其与健康和生活方式的关联性

10.1038/s41380-020-0697-5

05-11, Article

Abstract & Authors:展开

Abstract:收起
We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10−8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10−5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15–0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1–0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈−0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.

First Authors:
S Fleur W Meddens

Correspondence Authors:
S Fleur W Meddens,Carson C Chow,Philipp D Koellinger

All Authors:
S Fleur W Meddens,Ronald de Vlaming,Peter Bowers,Casper A P Burik,Richard Karlsson Linnér,Chanwook Lee,Aysu Okbay,Patrick Turley,Cornelius A Rietveld,Mark Alan Fontana,Mohsen Ghanbari,Fumiaki Imamura,George McMahon,Peter J van der Most,Trudy Voortman,Kaitlin H Wade,Emma L Anderson,Kim V E Braun,Pauline M Emmett,Tönu Esko,Juan R Gonzalez,Jessica C Kiefte-de Jong,Claudia Langenberg,Jian'an Luan,Taulant Muka,Susan Ring,Fernando Rivadeneira,Harold Snieder,Frank J A van Rooij,Bruce H R Wolffenbuttel,andMe Research Team,EPIC- InterAct Consortium,Lifelines Cohort Study,George Davey Smith,Oscar H Franco,Nita G Forouhi,M Arfan Ikram,Andre G Uitterlinden,Jana V van Vliet-Ostaptchouk,Nick J Wareham,David Cesarini,K Paige Harden,James J Lee,Daniel J Benjamin,Carson C Chow,Philipp D Koellinger

评论