Title |
The effect of host genetics on the gut microbiome
|
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Published in |
Nature Genetics, October 2016
|
DOI | 10.1038/ng.3663 |
Pubmed ID | |
Authors |
Marc Jan Bonder, Alexander Kurilshikov, Ettje F Tigchelaar, Zlatan Mujagic, Floris Imhann, Arnau Vich Vila, Patrick Deelen, Tommi Vatanen, Melanie Schirmer, Sanne P Smeekens, Daria V Zhernakova, Soesma A Jankipersadsing, Martin Jaeger, Marije Oosting, Maria Carmen Cenit, Ad A M Masclee, Morris A Swertz, Yang Li, Vinod Kumar, Leo Joosten, Hermie Harmsen, Rinse K Weersma, Lude Franke, Marten H Hofker, Ramnik J Xavier, Daisy Jonkers, Mihai G Netea, Cisca Wijmenga, Jingyuan Fu, Alexandra Zhernakova |
Abstract |
The gut microbiome is affected by multiple factors, including genetics. In this study, we assessed the influence of host genetics on microbial species, pathways and gene ontology categories, on the basis of metagenomic sequencing in 1,514 subjects. In a genome-wide analysis, we identified associations of 9 loci with microbial taxonomies and 33 loci with microbial pathways and gene ontology terms at P < 5 × 10(-8). Additionally, in a targeted analysis of regions involved in complex diseases, innate and adaptive immunity, or food preferences, 32 loci were identified at the suggestive level of P < 5 × 10(-6). Most of our reported associations are new, including genome-wide significance for the C-type lectin molecules CLEC4F-CD207 at 2p13.3 and CLEC4A-FAM90A1 at 12p13. We also identified association of a functional LCT SNP with the Bifidobacterium genus (P = 3.45 × 10(-8)) and provide evidence of a gene-diet interaction in the regulation of Bifidobacterium abundance. Our results demonstrate the importance of understanding host-microbe interactions to gain better insight into human health. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 41 | 28% |
United Kingdom | 11 | 8% |
Netherlands | 8 | 6% |
France | 6 | 4% |
Italy | 5 | 3% |
Mexico | 4 | 3% |
Spain | 4 | 3% |
Japan | 3 | 2% |
Ireland | 3 | 2% |
Other | 17 | 12% |
Unknown | 43 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 76 | 52% |
Scientists | 61 | 42% |
Practitioners (doctors, other healthcare professionals) | 7 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | <1% |
Germany | 3 | <1% |
Japan | 3 | <1% |
Netherlands | 2 | <1% |
United Kingdom | 2 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Other | 2 | <1% |
Unknown | 1046 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 228 | 21% |
Researcher | 198 | 19% |
Student > Master | 134 | 13% |
Student > Bachelor | 99 | 9% |
Student > Postgraduate | 41 | 4% |
Other | 163 | 15% |
Unknown | 206 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 286 | 27% |
Biochemistry, Genetics and Molecular Biology | 232 | 22% |
Medicine and Dentistry | 100 | 9% |
Immunology and Microbiology | 74 | 7% |
Neuroscience | 17 | 2% |
Other | 119 | 11% |
Unknown | 241 | 23% |