M-GWAS for the gut microbiome in Chinese adults illuminates on complex diseases

Author:

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 Xiao,Zhang Yong,Brix Susanne,Kristiansen Karsten,Hou Yong,Jia Huijue,Zhang Tao

Abstract

SummaryThe 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 less than 20% genetic contribution to the gut microbiota. Using common variants-, rare variants- and copy number variations (CNVs)-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 2 loci explaining 11% of the Prevotella-Bacteroides variances. Stratification according to gender led to the identification of differential associations in males and females. Genetically encoded responses to ectopic presence of oral bacteria in the gut appear to be a common theme in a number of diseases investigated by MWAS (Metagenome-wide association studies). Our two-stage M-GWAS (Microbiome 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.HighlightsM-GWAS using high-depth whole genome identifies contributions from rare variants and CNVs.Gut microbial modules such as butyrate, amino acids, mucin degradation show genetic associations.Gender differential M-GWAS underscores differences in metabolic and psychological predispositions.Some of the MWAS markers for colorectal cancer and cardiometabolic diseases show genetic associations.

Publisher

Cold Spring Harbor Laboratory

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