Does geographical variation confound the relationship between host factors and the human gut microbiota: a population-based study in China

被引:18
|
作者
Sun, Shan [1 ]
Wang, Huijun [2 ]
Tsilimigras, Matthew C. B. [3 ,4 ,5 ]
Howard, Annie Green [3 ,6 ]
Sha, Wei [1 ]
Zhang, Jiguo [2 ]
Su, Chang [2 ]
Wang, Zhihong [2 ]
Du, Shufa [3 ,4 ]
Sioda, Michael [1 ]
Fouladi, Farnaz [1 ]
Fodor, Anthony [1 ]
Gordon-Larsen, Penny [3 ,4 ]
Zhang, Bing [2 ]
机构
[1] Univ N Carolina, Dept Bioinformat & Genom, Charlotte, NC USA
[2] Chinese Ctr Dis Control & Prevent, Natl Inst Nutr & Hlth, Beijing, Peoples R China
[3] Univ North Carolin, Carolina Populat Ctr, Chapel Hill, NC 27599 USA
[4] Univ North Carolin, Dept Nutr, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
[5] Univ North Carolin, Gillings Sch Global Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA
[6] Univ North Carolin, Gillings Sch Global Publ Hlth, Dept Biostat, Chapel Hill, NC USA
来源
BMJ OPEN | 2020年 / 10卷 / 11期
关键词
Gut microbiota; geographic differences; microbiota-host associations; machine learning; HEALTH; OBESITY; WEIGHT; DIET; AGE;
D O I
10.1136/bmjopen-2020-038163
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThe 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.DesignPopulation-based study.SettingChina.Participants2164 participants from 15 province-level divisions in China.Primary and secondary outcome measuresWe 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.ResultsWhile 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.ConclusionsOur 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.
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页数:9
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