Population-level analysis of gut microbiome variation

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

doi:10.1126/science.aad3503

Population-level analysis of gut microbiome variation

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

Résultats de recherche: Contribution à un journal/une revue › Article › Revue par des pairs

Résumé

Fecal microbiome variation in the average, healthy population has remained underinvestigated. 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.

langue originale	Anglais
Pages (de - à)	560-564
Nombre de pages	5
journal	Science
Volume	352
Numéro de publication	6285
Les DOIs	https://doi.org/10.1126/science.aad3503
Etat de la publication	Publié - 29 avr. 2016
Modification externe	Oui

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Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., Kurilshikov, A., Bonder, M. J., Valles-Colomer, M., Vandeputte, D., Tito, R. Y., Chaffron, S., Rymenans, L., Verspecht, C., Sutter, L. D., Lima-Mendez, G., D'hoe, K., Jonckheere, K., Homola, D., ... Raes, J. (2016). Population-level analysis of gut microbiome variation. Science, 352(6285), 560-564. https://doi.org/10.1126/science.aad3503

@article{96a3dd237d414efca16bf6a0084de80e,

title = "Population-level analysis of gut microbiome variation",

abstract = "Fecal microbiome variation in the average, healthy population has remained underinvestigated. 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.",

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

year = "2016",

month = apr,

day = "29",

doi = "10.1126/science.aad3503",

language = "English",

volume = "352",

pages = "560--564",

journal = "Science",

issn = "0036-8075",

publisher = "American Association for the Advancement of Science",

number = "6285",

}

Falony, G, Joossens, M, Vieira-Silva, S, Wang, J, Darzi, Y, Faust, K, Kurilshikov, A, Bonder, MJ, Valles-Colomer, M, Vandeputte, D, Tito, RY, Chaffron, S, Rymenans, L, Verspecht, C, Sutter, LD, Lima-Mendez, G, D'hoe, K, Jonckheere, K, Homola, D, Garcia, R, Tigchelaar, EF, Eeckhaudt, L, Fu, J, Henckaerts, L, Zhernakova, A, Wijmenga, C & Raes, J 2016, 'Population-level analysis of gut microbiome variation', Science, VOL. 352, Numéro 6285, p. 560-564. https://doi.org/10.1126/science.aad3503

TY - JOUR

T1 - Population-level analysis of gut microbiome variation

AU - Falony, Gwen

AU - Joossens, Marie

AU - Vieira-Silva, Sara

AU - Wang, Jun

AU - Darzi, Youssef

AU - Faust, Karoline

AU - Kurilshikov, Alexander

AU - Bonder, Marc Jan

AU - Valles-Colomer, Mireia

AU - Vandeputte, Doris

AU - Tito, Raul Y.

AU - Chaffron, Samuel

AU - Rymenans, Leen

AU - Verspecht, Chloë

AU - Sutter, Lise De

AU - Lima-Mendez, Gipsi

AU - D'hoe, Kevin

AU - Jonckheere, Karl

AU - Homola, Daniel

AU - Garcia, Roberto

AU - Tigchelaar, Ettje F.

AU - Eeckhaudt, Linda

AU - Fu, Jingyuan

AU - Henckaerts, Liesbet

AU - Zhernakova, Alexandra

AU - Wijmenga, Cisca

AU - Raes, Jeroen

PY - 2016/4/29

Y1 - 2016/4/29

N2 - Fecal microbiome variation in the average, healthy population has remained underinvestigated. 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.

AB - Fecal microbiome variation in the average, healthy population has remained underinvestigated. 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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U2 - 10.1126/science.aad3503

DO - 10.1126/science.aad3503

M3 - Article

C2 - 27126039

AN - SCOPUS:84968918909

SN - 0036-8075

VL - 352

SP - 560

EP - 564

JO - Science

JF - Science

IS - 6285

ER -

Population-level analysis of gut microbiome variation

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