Genome-wide association analysis identifies variation in Vitamin D receptor and other host factors influencing the gut microbiota

Jun Wang, Louise B. Thingholm, Jurgita Skiecevičie, Philipp Rausch, Martin Kummen, Johannes R. Hov, Frauke Degenhardt, Femke Anouska Heinsen, Malte C. Rühlemann, Silke Szymczak, Kristian Holm, Tönu Esko, Jun Sun, Mihaela Pricop-Jeckstadt, Samer Al-Dury, Pavol Bohov, Jörn Bethune, Felix Sommer, David Ellinghaus, Rolf K. BergeMatthias Hübenthal, Manja Koch, Karin Schwarz, Gerald Rimbach, Patricia Hübbe, Wei Hung Pan, Raheleh Sheibani-Tezerji, Robert Häsler, Philipp Rosenstiel, Mauro D'Amato, Katja Cloppenborg-Schmidt, Sven Künzel, Matthias Laudes, Hanns Ulrich Marschall, Wolfgang Lieb, Ute Nöthlings, Tom H. Karlsen, John F. Baines, Andre Franke*

*Corresponding author for this work
517 Citations (Scopus)

Abstract

Human gut microbiota is an important determinant for health and disease, and recent studies emphasize the numerous factors shaping its diversity. Here we performed a genome-wide association study (GWAS) of the gut microbiota using two cohorts from northern Germany totaling 1,812 individuals. Comprehensively controlling for diet and non-genetic parameters, we identify genome-wide significant associations for overall microbial variation and individual taxa at multiple genetic loci, including the VDR gene (encoding vitamin D receptor). We observe significant shifts in the microbiota of Vdr â '/â ' mice relative to control mice and correlations between the microbiota and serum measurements of selected bile and fatty acids in humans, including known ligands and downstream metabolites of VDR. Genome-wide significant (P < 5 × 10 â '8) associations at multiple additional loci identify other important points of host-microbe intersection, notably several disease susceptibility genes and sterol metabolism pathway components. Non-genetic and genetic factors each account for approximately 10% of the variation in gut microbiota, whereby individual effects are relatively small.

Original languageEnglish
JournalNature Genetics
Volume48
Issue number11
Pages (from-to)1396-1406
Number of pages11
ISSN1061-4036
DOIs
Publication statusPublished - 01.11.2016

Funding

We thank A.D. Paterson and colleagues for support in selection of models for GWAS. We further thank Der Norddeutsche Verbund f?r Hoch- und H?chstleistungsrechnen (HLRN) and S. Knief and H. Marten for computational resources and support. This work was supported by German Research Foundation (DFG) Collaborative Research Center 1182, 'Origin and Function of Metaorganisms' (J.F.B. and A.F.) and Excellence Cluster 306, 'Inflammation at Interfaces' (J.F.B. and A.F.) and by German Federal Ministry of Education and Research (BMBF) project 'SysINFLAME' (J.F.B. and A.F.). Project support was also provided by the Norwegian PSC Research Center and the Western Norway Regional Health Authority (grant 911802) (T.H.K.). M.K. is the recipient of a Postdoctoral Research Fellowship from the German Research Foundation (DFG). J.R.H. was funded by the Norwegian Research Council (240787/F20).

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