基因组
单核苷酸多态性
生物
微生物群
全基因组关联研究
SNP公司
普氏粪杆菌
遗传学
遗传关联
人体微生物群
基因型
基因
细菌
作者
Liron Zahavi,Amit Lavon,Lee Reicher,Saar Shoer,Anastasia Godneva,Sigal Leviatan,Michal Rein,Omer Weissbrod,Adina Weinberger,Eran Segal
出处
期刊:Nature Medicine
[Springer Nature]
日期:2023-11-01
卷期号:29 (11): 2785-2792
被引量:13
标识
DOI:10.1038/s41591-023-02599-8
摘要
Genome-wide association studies (GWASs) have provided numerous associations between human single-nucleotide polymorphisms (SNPs) and health traits. Likewise, metagenome-wide association studies (MWASs) between bacterial SNPs and human traits can suggest mechanistic links, but very few such studies have been done thus far. In this study, we devised an MWAS framework to detect SNPs and associate them with host phenotypes systematically. We recruited and obtained gut metagenomic samples from a cohort of 7,190 healthy individuals and discovered 1,358 statistically significant associations between a bacterial SNP and host body mass index (BMI), from which we distilled 40 independent associations. Most of these associations were unexplained by diet, medications or physical exercise, and 17 replicated in a geographically independent cohort. We uncovered BMI-associated SNPs in 27 bacterial species, and 12 of them showed no association by standard relative abundance analysis. We revealed a BMI association of an SNP in a potentially inflammatory pathway of Bilophila wadsworthia as well as of a group of SNPs in a region coding for energy metabolism functions in a Faecalibacterium prausnitzii genome. Our results demonstrate the importance of considering nucleotide-level diversity in microbiome studies and pave the way toward improved understanding of interpersonal microbiome differences and their potential health implications. A new framework for linking metagenomic data on the gut microbiome to human traits uncovers bacterial SNPs that associate with BMI in geographically independent cohorts.
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