微生物群
生物
人体微生物群
计算生物学
全基因组关联研究
数据科学
人类健康
流行病学
人类微生物组计划
人类遗传变异
基因组
进化生物学
基因组
人类基因组
遗传学
生物信息学
计算机科学
环境卫生
医学
单核苷酸多态性
基因型
基因
内科学
作者
Hannah VanEvery,Eric A. Franzosa,Long H. Nguyen,Curtis Huttenhower
标识
DOI:10.1038/s41576-022-00529-x
摘要
Studies of the human microbiome share both technical and conceptual similarities with genome-wide association studies and genetic epidemiology. However, the microbiome has many features that differ from genomes, such as its temporal and spatial variability, highly distinct genetic architecture and person-to-person variation. Moreover, there are various potential mechanisms by which distinct aspects of the human microbiome can relate to health outcomes. Recent advances, including next-generation sequencing and the proliferation of multi-omic data types, have enabled the exploration of the mechanisms that connect microbial communities to human health. Here, we review the ways in which features of the microbiome at various body sites can influence health outcomes, and we describe emerging opportunities and future directions for advanced microbiome epidemiology.
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