Details

Autor(en) / Beteiligte

• Falony, Gwen
• Joossens, Marie
• Vieira-Silva, Sara
• Wang, Jun
• Darzi, Youssef
• Faust, Karoline
• Kurilshikov, Alexander
• Bonder, Marc Jan
• Valles-Colomer, Mireia
• Vandeputte, Doris
• Tito, Raul Y.
• Chaffron, Samuel
• Rymenans, Leen
• Verspecht, Chloë
• De Sutter, Lise
• Lima-Mendez, Gipsi
• D'hoe, Kevin
• Jonckheere, Karl
• Homola, Daniel
• Garcia, Roberto
• Tigchelaar, Ettje F.
• Eeckhaudt, Linda
• Fu, Jingyuan
• Henckaerts, Liesbet
• Zhernakova, Alexandra
• Wijmenga, Cisca
• Raes, Jeroen

Titel

Population-level analysis of gut microbiome variation

Ist Teil von

• Science (American Association for the Advancement of Science), 2016-04, Vol.352 (6285), p.560-564

Ort / Verlag

United States: American Association for the Advancement of Science

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• 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 combiend = 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.