ABSTRACT
Identifying the genetic and non-genetic determinants of obesity and related cardiometabolic dysfunctions is cornerstone for their prevention, treatment, and control. While genetic variants contribute to the cardiometabolic syndrome (CMS), non-genetic factors, such as the gut microbiota, also play key roles. Gut microbiota is intimately associated with CMS and its composition is heritable. However, associations between this microbial community and host genetics are understudied. We contribute filling this gap by genotyping 60 variants in 39 genes of three modules involved in CMS risk, measuring cardiometabolic risk factors, and characterizing gut microbiota in a cohort of 441 Colombians. We hypothesized that CMS risk variants were correlated with detrimental levels of clinical parameters and with the abundance of disease-associated microbes. We found several polymorphisms in genes of innate immunity, appetite control, and energy metabolism that were associated with metabolic dysregulation and microbiota composition; the associations between host genetics and cardiometabolic health were independent of the participants’ gut microbiota, and those between polymorphisms and gut microbes were independent of the CMS risk. Associations were also independent of the host genetic ancestry, diet and lifestyle. Most microbes explaining genetic-microbiota associations belonged to the families Lachnospiraceae and Ruminococcaceae. Multiple CMS risk alleles were correlated with increased abundance of beneficial microbiota, suggesting that the phenotypic outcome of the evaluated variants might depend upon the genetic background of the studied population and its environmental context. Our results provide additional evidence that the gut microbiota is under the host genetic control and present pathways of host–microbe interactions.
Acknowledgments
We thank the participants who took part in the study, and the GENMOL and Vidarium staff for their contributions during field, lab work, analysis, and discussion. We are grateful to EPS SURA and Dinámica IPS for their support throughout the study, to the Centro de Computación Científica Apolo at Universidad EAFIT for hosting supercomputing resources (http://www.eafit.edu.co/apolo), and to the University of Michigan Medical School Host Microbiome Initiative for sequencing support. Some authors of this work collaborate through the Microbiome & Health Network.
Disclosure of Potential Conflicts of Interest
We disclose that, while engaged in this project, JdlC-Z, EPV-M and JSE were employed by a food company (Grupo Empresarial Nutresa). SJG-C, ELO-V, WR, and GB had nothing to disclose.
Supplementary material
Supplemental data for this article can be accessed on the publisher’s website.