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一项针对中国成年人肠道宏基因组的全基因组关联研究揭示了复杂疾病。

A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases.

作者信息

Liu Xiaomin, Tang Shanmei, Zhong Huanzi, Tong Xin, Jie Zhuye, Ding Qiuxia, Wang Dan, Guo Ruidong, Xiao Liang, Xu Xun, Yang Huanming, Wang Jian, Zong Yang, Liu Weibin, Liu Xiao, Zhang Yong, Brix Susanne, Kristiansen Karsten, Hou Yong, Jia Huijue, Zhang Tao

机构信息

BGI-Shenzhen, Shenzhen,, Guangdong 518083, China.

China National Genebank, BGI-Shenzhen, Shenzhen,, Guangdong 518120, China.

出版信息

Cell Discov. 2021 Feb 9;7(1):9. doi: 10.1038/s41421-020-00239-w.

Abstract

The gut microbiome has been established as a key environmental factor to health. Genetic influences on the gut microbiome have been reported, yet, doubts remain as to the significance of genetic associations. Here, we provide shotgun data for whole genome and whole metagenome from a Chinese cohort, identifying no <20% genetic contribution to the gut microbiota. Using common variants-, rare variants-, and copy number variations-based association analyses, we identified abundant signals associated with the gut microbiome especially in metabolic, neurological, and immunological functions. The controversial concept of enterotypes may have a genetic attribute, with the top two loci explaining 11% of the Prevotella-Bacteroides variances. Stratification according to gender led to the identification of differential associations in males and females. Our two-stage metagenome genome-wide association studies on a total of 1295 individuals unequivocally illustrates that neither microbiome nor GWAS studies could overlook one another in our quest for a better understanding of human health and diseases.

摘要

肠道微生物群已被确认为影响健康的关键环境因素。虽然已有报道称基因会影响肠道微生物群,但基因关联的重要性仍存疑虑。在此,我们提供了一个中国队列的全基因组和全宏基因组鸟枪法数据,发现基因对肠道微生物群的贡献不到20%。通过基于常见变异、罕见变异和拷贝数变异的关联分析,我们发现了大量与肠道微生物群相关的信号,尤其是在代谢、神经和免疫功能方面。有争议的肠型概念可能具有遗传属性,前两个基因座解释了普雷沃氏菌-拟杆菌差异的11%。按性别分层后,发现了男性和女性的差异关联。我们对总共1295名个体进行的两阶段宏基因组全基因组关联研究明确表明,在我们寻求更好地理解人类健康和疾病的过程中,微生物群研究和全基因组关联研究都不能忽视彼此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c613/7873036/0420e9d35ce3/41421_2020_239_Fig1_HTML.jpg

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