Host genetic variation and its microbiome interactions within the Human Microbiome Project View Full Text


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Article Info

DATE

2018-01-29

AUTHORS

Raivo Kolde, Eric A. Franzosa, Gholamali Rahnavard, Andrew Brantley Hall, Hera Vlamakis, Christine Stevens, Mark J. Daly, Ramnik J. Xavier, Curtis Huttenhower

ABSTRACT

BackgroundDespite the increasing recognition that microbial communities within the human body are linked to health, we have an incomplete understanding of the environmental and molecular interactions that shape the composition of these communities. Although host genetic factors play a role in these interactions, these factors have remained relatively unexplored given the requirement for large population-based cohorts in which both genotyping and microbiome characterization have been performed.MethodsWe performed whole-genome sequencing of 298 donors from the Human Microbiome Project (HMP) healthy cohort study to accompany existing deep characterization of their microbiomes at various body sites. This analysis yielded an average sequencing depth of 32x, with which we identified 27 million (M) single nucleotide variants and 2.3 M insertions-deletions.ResultsTaxonomic composition and functional potential of the microbiome covaried significantly with genetic principal components in the gastrointestinal tract and oral communities, but not in the nares or vaginal microbiota. Example associations included validation of known associations between FUT2 secretor status, as well as a variant conferring hypolactasia near the LCT gene, with Bifidobacterium longum abundance in stool. The associations of microbial features with both high-level genetic attributes and single variants were specific to particular body sites, highlighting the opportunity to find unique genetic mechanisms controlling microbiome properties in the microbial communities from multiple body sites.ConclusionsThis study adds deep sequencing of host genomes to the body-wide microbiome sequences already extant from the HMP healthy cohort, creating a unique, versatile, and well-controlled reference for future studies seeking to identify host genetic modulators of the microbiome. More... »

PAGES

6

References to SciGraph publications

  • 2014-06-29. Whole-genome sequence variation, population structure and demographic history of the Dutch population in NATURE GENETICS
  • 2012-06-13. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2013-01-06. Genome-wide association analysis identifies new susceptibility loci for Behçet's disease and epistasis between HLA-B*51 and ERAP1 in NATURE GENETICS
  • 2016-10-03. The effect of host genetics on the gut microbiome in NATURE GENETICS
  • 2015-09-29. MetaPhlAn2 for enhanced metagenomic taxonomic profiling in NATURE METHODS
  • 2016-07-13. Mobile genes in the human microbiome are structured from global to individual scales in NATURE
  • 2002-01-14. Identification of a variant associated with adult-type hypolactasia in NATURE GENETICS
  • 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
  • 2016-10-03. Association of host genome with intestinal microbial composition in a large healthy cohort in NATURE GENETICS
  • 2015-09-30. A global reference for human genetic variation in NATURE
  • 2010-10-17. A genome-wide association study identifies new psoriasis susceptibility loci and an interaction between HLA-C and ERAP1 in NATURE GENETICS
  • 2011-07-10. Interaction between ERAP1 and HLA-B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA-B27 in disease susceptibility in NATURE GENETICS
  • 2015-02-25. Second-generation PLINK: rising to the challenge of larger and richer datasets in GIGASCIENCE
  • 2014-02-23. Pathogens and host immunity in the ancient human oral cavity in NATURE GENETICS
  • 2014-07-25. Host lifestyle affects human microbiota on daily timescales in GENOME BIOLOGY
  • 2015-08-24. Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases in NATURE MEDICINE
  • 2012-06-13. A framework for human microbiome research in NATURE
  • 2015-07-27. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment in NATURE MEDICINE
  • 2014-04-16. Dynamics and associations of microbial community types across the human body in NATURE
  • 2014-12-02. Complex host genetics influence the microbiome in inflammatory bowel disease in GENOME MEDICINE
  • 2012-10-31. Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease in NATURE
  • 2014-04-03. mtDNA haplogroup and single nucleotide polymorphisms structure human microbiome communities in BMC GENOMICS
  • 2017-09-20. Strains, functions and dynamics in the expanded Human Microbiome Project in NATURE
  • 2014-10-01. Biogeography and individuality shape function in the human skin metagenome in NATURE
  • 2015-09-15. Host genetic variation impacts microbiome composition across human body sites in GENOME BIOLOGY
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    http://scigraph.springernature.com/pub.10.1186/s13073-018-0515-8

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    http://dx.doi.org/10.1186/s13073-018-0515-8

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29378630


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