Host genetic variation impacts microbiome composition across human body sites View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09-15

AUTHORS

Ran Blekhman, Julia K. Goodrich, Katherine Huang, Qi Sun, Robert Bukowski, Jordana T. Bell, Timothy D. Spector, Alon Keinan, Ruth E. Ley, Dirk Gevers, Andrew G. Clark

ABSTRACT

BackgroundThe composition of bacteria in and on the human body varies widely across human individuals, and has been associated with multiple health conditions. While microbial communities are influenced by environmental factors, some degree of genetic influence of the host on the microbiome is also expected. This study is part of an expanding effort to comprehensively profile the interactions between human genetic variation and the composition of this microbial ecosystem on a genome- and microbiome-wide scale.ResultsHere, we jointly analyze the composition of the human microbiome and host genetic variation. By mining the shotgun metagenomic data from the Human Microbiome Project for host DNA reads, we gathered information on host genetic variation for 93 individuals for whom bacterial abundance data are also available. Using this dataset, we identify significant associations between host genetic variation and microbiome composition in 10 of the 15 body sites tested. These associations are driven by host genetic variation in immunity-related pathways, and are especially enriched in host genes that have been previously associated with microbiome-related complex diseases, such as inflammatory bowel disease and obesity-related disorders. Lastly, we show that host genomic regions associated with the microbiome have high levels of genetic differentiation among human populations, possibly indicating host genomic adaptation to environment-specific microbiomes.ConclusionsOur results highlight the role of host genetic variation in shaping the composition of the human microbiome, and provide a starting point toward understanding the complex interaction between human genetics and the microbiome in the context of human evolution and disease. More... »

PAGES

191

References to SciGraph publications

  • 2006-12. An obesity-associated gut microbiome with increased capacity for energy harvest in NATURE
  • 2013-03-08. Population genetic tools for dissecting innate immunity in humans in NATURE REVIEWS IMMUNOLOGY
  • 2013-05-29. The Genotype-Tissue Expression (GTEx) project in NATURE GENETICS
  • 2009-10-22. Enteric defensins are essential regulators of intestinal microbial ecology in NATURE IMMUNOLOGY
  • 2012-06-13. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2014-04-03. mtDNA haplogroup and single nucleotide polymorphisms structure human microbiome communities in BMC GENOMICS
  • 2012-05-09. Human gut microbiome viewed across age and geography in NATURE
  • 2013-12-11. Diet rapidly and reproducibly alters the human gut microbiome in NATURE
  • 2011-06-15. Genetics and pathogenesis of inflammatory bowel disease in NATURE
  • 2012-09-26. A metagenome-wide association study of gut microbiota in type 2 diabetes in NATURE
  • 2012-09-26. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment in GENOME BIOLOGY
  • 2004-05. The weight of leptin in immunity in NATURE REVIEWS IMMUNOLOGY
  • 2014-12-17. Host genetics and diet, but not immunoglobulin A expression, converge to shape compositional features of the gut microbiome in an advanced intercross population of mice in GENOME BIOLOGY
  • 2013-08-28. Richness of human gut microbiome correlates with metabolic markers in NATURE
  • 2012-02-01. Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity in NATURE
  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2001-12-03. Merlin—rapid analysis of dense genetic maps using sparse gene flow trees in NATURE GENETICS
  • 2014-04-29. Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2008-09-21. Innate immunity and intestinal microbiota in the development of Type 1 diabetes in NATURE
  • 2006-12-10. Convergent adaptation of human lactase persistence in Africa and Europe in NATURE GENETICS
  • 2008-11-30. A core gut microbiome in obese and lean twins in NATURE
  • 2010-10-27. A map of human genome variation from population-scale sequencing in NATURE
  • 2014-04-16. Dynamics and associations of microbial community types across the human body in NATURE
  • 2012-06-13. A framework for human microbiome research in NATURE
  • 2011-03-04. Gut microbiome-host interactions in health and disease in GENOME MEDICINE
  • 2011-03-16. Unravelling the effects of the environment and host genotype on the gut microbiome in NATURE REVIEWS MICROBIOLOGY
  • 2014-12-02. Complex host genetics influence the microbiome in inflammatory bowel disease in GENOME MEDICINE
  • 2012-10-31. An integrated map of genetic variation from 1,092 human genomes in NATURE
  • 2011-04-10. A framework for variation discovery and genotyping using next-generation DNA sequencing data in NATURE GENETICS
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    URI

    http://scigraph.springernature.com/pub.10.1186/s13059-015-0759-1

    DOI

    http://dx.doi.org/10.1186/s13059-015-0759-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1017080966

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26374288


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