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环境在塑造人类肠道微生物群方面优于宿主遗传学。

Environment dominates over host genetics in shaping human gut microbiota.

机构信息

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel.

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.

出版信息

Nature. 2018 Mar 8;555(7695):210-215. doi: 10.1038/nature25973. Epub 2018 Feb 28.

Abstract

Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds.

摘要

人类肠道微生物组的组成受多种因素的影响,但宿主遗传学的相对贡献仍然难以捉摸。在这里,我们研究了 1046 名具有不同祖先背景的健康个体的基因型和微生物组数据,这些个体共享相对常见的环境,并证明肠道微生物组与遗传祖先没有显著关联,宿主遗传学在决定微生物组组成方面的作用较小。我们表明,相比之下,具有遗传关系的个体的微生物组组成存在显著的相似性,这些个体共享一个家庭,超过 20%的个体间微生物组变异性与饮食、药物和人体测量学相关因素有关。我们进一步证明,与仅使用宿主遗传和环境数据的模型相比,微生物组数据可显著提高对许多人类特征(如葡萄糖和肥胖指标)的预测准确性。这些结果表明,旨在改善临床结果的微生物组改变可能可以在不同的遗传背景下进行。

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