Title |
Genome-wide association analysis identifies variation in vitamin D receptor and other host factors influencing the gut microbiota
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Published in |
Nature Genetics, October 2016
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DOI | 10.1038/ng.3695 |
Pubmed ID | |
Authors |
Jun Wang, Louise B Thingholm, Jurgita Skiecevičienė, 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 Berge, Matthias 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 |
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(-/-) 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(-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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 27% |
Canada | 3 | 12% |
United Kingdom | 2 | 8% |
Mexico | 1 | 4% |
Netherlands | 1 | 4% |
France | 1 | 4% |
Unknown | 11 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 54% |
Scientists | 8 | 31% |
Practitioners (doctors, other healthcare professionals) | 4 | 15% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 2 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Canada | 1 | <1% |
Saudi Arabia | 1 | <1% |
Qatar | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 586 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 129 | 22% |
Student > Ph. D. Student | 116 | 19% |
Student > Master | 71 | 12% |
Student > Bachelor | 52 | 9% |
Student > Postgraduate | 27 | 5% |
Other | 87 | 15% |
Unknown | 114 | 19% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 130 | 22% |
Medicine and Dentistry | 78 | 13% |
Immunology and Microbiology | 36 | 6% |
Computer Science | 12 | 2% |
Other | 58 | 10% |
Unknown | 141 | 24% |