Population-level analysis of gut microbiome variation

Gwen Falony(VIB-KU Leuven Center for Cancer Biology), Marie Joossens(Vrije Universiteit Brussel), Sara Vieira‐Silva(VIB-KU Leuven Center for Cancer Biology), Jun Wang(VIB-KU Leuven Center for Cancer Biology), Youssef Darzi(Vrije Universiteit Brussel), Karoline Faust(Vrije Universiteit Brussel), Alexander Kurilshikov(Novosibirsk State University), Marc Jan Bonder(University Medical Center Groningen), Mireia Valles‐Colomer(VIB-KU Leuven Center for Cancer Biology), Doris Vandeputte(Vrije Universiteit Brussel), Raúl Y. Tito(Vrije Universiteit Brussel), Samuel Chaffron(Vrije Universiteit Brussel), Leen Rymenans(Vrije Universiteit Brussel), Chloë Verspecht(VIB-KU Leuven Center for Cancer Biology), Lise De Sutter(Vrije Universiteit Brussel), Gipsi Lima‐Mendez(VIB-KU Leuven Center for Cancer Biology), Kevin D’hoe(Vrije Universiteit Brussel), Karl Jonckheere(Vrije Universiteit Brussel), D Homola(Vrije Universiteit Brussel), Roberto García(Vrije Universiteit Brussel), Ettje F. Tigchelaar(University Medical Center Groningen), Linda Eeckhaudt(Vrije Universiteit Brussel), Jingyuan Fu(University Medical Center Groningen), Liesbet Henckaerts(KU Leuven), Alexandra Zhernakova(University Medical Center Groningen), Cisca Wijmenga(University Medical Center Groningen), Jeroen Raes(Vrije Universiteit Brussel)
Science
April 28, 2016
Cited by 2,428Open Access
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Abstract

Fecal microbiome variation in the average, healthy population has remained under-investigated. Here, we analyzed two independent, extensively phenotyped cohorts: the Belgian Flemish Gut Flora Project (FGFP; discovery cohort; N = 1106) and the Dutch LifeLines-DEEP study (LLDeep; replication; N = 1135). Integration with global data sets (N combined = 3948) revealed a 14-genera core microbiota, but the 664 identified genera still underexplore total gut diversity. Sixty-nine clinical and questionnaire-based covariates were found associated to microbiota compositional variation with a 92% replication rate. Stool consistency showed the largest effect size, whereas medication explained largest total variance and interacted with other covariate-microbiota associations. Early-life events such as birth mode were not reflected in adult microbiota composition. Finally, we found that proposed disease marker genera associated to host covariates, urging inclusion of the latter in study design.


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