Effect of host genome, microbiome and envirome on metabolic profile

Abstract

Metabolic syndrome is a well known risk factor for cardiovascular disease. Therefore better understanding of each component of metabolic syndrome is required. Metabolic syndrome results from genetics, environmental factors, and the interaction between them. Many recent studies have shown that microbiome composition also affects the development of metabolic syndrome. In this study, the main goal is to identify and compare the associations of host genetic, metagenome, and environmental factors on metabolic syndrome components. Each data source was prepared through quality control and imputation process considering characteristics of each data. The effect of each data source was evaluated using the heritability estimation approach and the prediction model separately. In heritability estimation, we found that 5 of the 11 phenotypes are significantly associated with metagenome-wide similarity. Metagenome source also provided a more accurate estimation than the genetics at the same sample size. In the prediction model, the contribution of each source to the prediction accuracy varied for each phenotype. Through various methods, we grasped the influence of host genetic, metagenome and environmental factors on each metabolic component and quantified the relative importance of each data source. If the sample size is increased and methods are developed considering the characteristics of each data source in a further study, the effect of each data will be confirmed more accurately.