TY - JOUR T1 - Does geographical variation confound the relationship between host factors and the human gut microbiota: a population-based study in China JF - BMJ Open JO - BMJ Open DO - 10.1136/bmjopen-2020-038163 VL - 10 IS - 11 SP - e038163 AU - Shan Sun AU - Huijun Wang AU - Matthew CB Tsilimigras AU - Annie Green Howard AU - Wei Sha AU - Jiguo Zhang AU - Chang Su AU - Zhihong Wang AU - Shufa Du AU - Michael Sioda AU - Farnaz Fouladi AU - Anthony Fodor AU - Penny Gordon-Larsen AU - Bing Zhang Y1 - 2020/11/01 UR - http://bmjopen.bmj.com/content/10/11/e038163.abstract N2 - Objective The human gut microbiota plays important roles in human health but is also known to be highly diverse between populations from different regions. Yet most studies inadequately account for this regional diversity in their analyses. This study examines the extent to which geographical variation can act as a confounding variable for studies that associate the microbiota with human phenotypic variation.Design Population-based study.Setting China.Participants 2164 participants from 15 province-level divisions in China.Primary and secondary outcome measures We analysed the impact of geographic location on associations between the human gut microbiota and 72 host factors representing a wide variety of environmental-level, household-level and individual-level factors.Results While the gut microbiota varied across a wide range of host factors including urbanisation, occupation and dietary variables, the geographic region (province/megacity) of the participants explained the largest proportion of the variance (17.9%). The estimated effect sizes for other host factors varied substantially by region with little evidence of a reproducible signal across different areas as measured by permutational multivariate analysis of variance and random forest models.Conclusions Our results suggest that geographic variation is an essential factor that should be explicitly considered when generalising microbiota-based models to host phenotype across different populations. ER -