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
  • Identifiers

    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


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Human", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metagenomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbiota", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Ecology, Evolution, and Behavior, University of Minnesota, 55108, St. Paul, MN, USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Department of Genetics, Cell Biology, and Development, University of Minnesota, 55455, Minneapolis, MN, USA", 
                "Department of Ecology, Evolution, and Behavior, University of Minnesota, 55108, St. Paul, MN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Blekhman", 
            "givenName": "Ran", 
            "id": "sg:person.01342212257.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342212257.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA", 
                "Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Goodrich", 
            "givenName": "Julia K.", 
            "id": "sg:person.0734677126.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734677126.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.66859.34", 
              "name": [
                "Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huang", 
            "givenName": "Katherine", 
            "id": "sg:person.01133240553.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133240553.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Qi", 
            "id": "sg:person.01343731362.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343731362.79"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bukowski", 
            "givenName": "Robert", 
            "id": "sg:person.0777421022.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777421022.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Twin Research & Genetic Epidemiology, King\u2019s College, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research & Genetic Epidemiology, King\u2019s College, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bell", 
            "givenName": "Jordana T.", 
            "id": "sg:person.012420471572.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420471572.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Twin Research & Genetic Epidemiology, King\u2019s College, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research & Genetic Epidemiology, King\u2019s College, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Spector", 
            "givenName": "Timothy D.", 
            "id": "sg:person.015324146274.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015324146274.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biological Statistics and Computational Biology, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Biological Statistics and Computational Biology, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Keinan", 
            "givenName": "Alon", 
            "id": "sg:person.01066503340.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066503340.60"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA", 
                "Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ley", 
            "givenName": "Ruth E.", 
            "id": "sg:person.0725775131.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725775131.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Current address: Janssen Human Microbiome Institute, Janssen Research and Development, 02142, Cambridge, MA, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA", 
                "Current address: Janssen Human Microbiome Institute, Janssen Research and Development, 02142, Cambridge, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gevers", 
            "givenName": "Dirk", 
            "id": "sg:person.01123602703.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123602703.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Clark", 
            "givenName": "Andrew G.", 
            "id": "sg:person.01072105370.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072105370.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature13178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022430209", 
              "https://doi.org/10.1038/nature13178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.806", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010244476", 
              "https://doi.org/10.1038/ng.806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000661742", 
              "https://doi.org/10.1038/nature11632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020900000", 
              "https://doi.org/10.1038/nature07336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2014.64", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039762239", 
              "https://doi.org/10.1038/ismej.2014.64"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ni.1825", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022884317", 
              "https://doi.org/10.1038/ni.1825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022220176", 
              "https://doi.org/10.1038/nature10809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1350", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033571944", 
              "https://doi.org/10.1038/nri1350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11450", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004546178", 
              "https://doi.org/10.1038/nature11450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052378845", 
              "https://doi.org/10.1038/nature11053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0552-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024893270", 
              "https://doi.org/10.1186/s13059-014-0552-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-014-0107-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006350078", 
              "https://doi.org/10.1186/s13073-014-0107-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1946", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014224859", 
              "https://doi.org/10.1038/ng1946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11234", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007740093", 
              "https://doi.org/10.1038/nature11234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030170002", 
              "https://doi.org/10.1038/nature07540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011250403", 
              "https://doi.org/10.1038/nature10209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09534", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010608717", 
              "https://doi.org/10.1038/nature09534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045931365", 
              "https://doi.org/10.1038/nrmicro2540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003823032", 
              "https://doi.org/10.1038/nature12506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2653", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032444369", 
              "https://doi.org/10.1038/ng.2653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009032055", 
              "https://doi.org/10.1038/nmeth.f.303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12820", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013830289", 
              "https://doi.org/10.1038/nature12820"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-15-257", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002664833", 
              "https://doi.org/10.1186/1471-2164-15-257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027248000", 
              "https://doi.org/10.1038/nature11209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gm228", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029672269", 
              "https://doi.org/10.1186/gm228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05414", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023893418", 
              "https://doi.org/10.1038/nature05414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-9-r79", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029450096", 
              "https://doi.org/10.1186/gb-2012-13-9-r79"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041343500", 
              "https://doi.org/10.1038/ng786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri3421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018641520", 
              "https://doi.org/10.1038/nri3421"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-09-15", 
        "datePublishedReg": "2015-09-15", 
        "description": "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.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s13059-015-0759-1", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2683802", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2500517", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2529470", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2699346", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023439", 
            "issn": [
              "1474-760X", 
              "1465-6906"
            ], 
            "name": "Genome Biology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "keywords": [
          "host genetic variation", 
          "genetic variation", 
          "bacterial abundance data", 
          "host genomic regions", 
          "human microbiome", 
          "human genetic variation", 
          "shotgun metagenomic data", 
          "composition of bacteria", 
          "microbiome composition", 
          "immunity-related pathways", 
          "Human Microbiome Project", 
          "human body sites", 
          "genetic differentiation", 
          "genomic adaptation", 
          "genomic regions", 
          "microbial communities", 
          "microbial ecosystem", 
          "host genes", 
          "metagenomic data", 
          "Microbiome Project", 
          "DNA reads", 
          "abundance data", 
          "human genetics", 
          "human evolution", 
          "complex diseases", 
          "microbiome", 
          "human population", 
          "environmental factors", 
          "genetic influences", 
          "complex interactions", 
          "genome", 
          "genes", 
          "human individuals", 
          "genetics", 
          "obesity-related disorders", 
          "ecosystems", 
          "ConclusionsOur results", 
          "reads", 
          "bacteria", 
          "sites", 
          "differentiation", 
          "pathway", 
          "variation", 
          "high levels", 
          "host", 
          "composition", 
          "body sites", 
          "interaction", 
          "ResultsHere", 
          "adaptation", 
          "evolution", 
          "role", 
          "disease", 
          "population", 
          "community", 
          "individuals", 
          "region", 
          "association", 
          "starting point", 
          "human body", 
          "levels", 
          "significant association", 
          "factors", 
          "body", 
          "data", 
          "inflammatory bowel disease", 
          "conditions", 
          "part", 
          "dataset", 
          "study", 
          "efforts", 
          "disorders", 
          "bowel disease", 
          "information", 
          "results", 
          "degree", 
          "context", 
          "scale", 
          "influence", 
          "point", 
          "multiple health conditions", 
          "project", 
          "health conditions"
        ], 
        "name": "Host genetic variation impacts microbiome composition across human body sites", 
        "pagination": "191", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1017080966"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13059-015-0759-1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "26374288"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13059-015-0759-1", 
          "https://app.dimensions.ai/details/publication/pub.1017080966"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-08-04T17:04", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_670.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s13059-015-0759-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13059-015-0759-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13059-015-0759-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13059-015-0759-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13059-015-0759-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    386 TRIPLES      21 PREDICATES      144 URIs      106 LITERALS      13 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13059-015-0759-1 schema:about N1777e0f3a7874e15999d5cd038384f94
    2 N1c0b4193de954eb8ac9ba82dce74227b
    3 N48b87c5a667242c785e342291d63ac94
    4 N499b40c4155841b1b7b5e87027960c12
    5 Nd1e36973db9b48acb4e38f7b7388fc60
    6 Nf29ce137a59246be882547bf56929b28
    7 anzsrc-for:06
    8 anzsrc-for:0604
    9 anzsrc-for:0605
    10 schema:author N8bdfab39e9604fdd89b10881b3a8ab44
    11 schema:citation sg:pub.10.1038/ismej.2014.64
    12 sg:pub.10.1038/nature05414
    13 sg:pub.10.1038/nature07336
    14 sg:pub.10.1038/nature07540
    15 sg:pub.10.1038/nature09534
    16 sg:pub.10.1038/nature10209
    17 sg:pub.10.1038/nature10809
    18 sg:pub.10.1038/nature11053
    19 sg:pub.10.1038/nature11209
    20 sg:pub.10.1038/nature11234
    21 sg:pub.10.1038/nature11450
    22 sg:pub.10.1038/nature11632
    23 sg:pub.10.1038/nature12506
    24 sg:pub.10.1038/nature12820
    25 sg:pub.10.1038/nature13178
    26 sg:pub.10.1038/ng.2653
    27 sg:pub.10.1038/ng.806
    28 sg:pub.10.1038/ng1946
    29 sg:pub.10.1038/ng786
    30 sg:pub.10.1038/ni.1825
    31 sg:pub.10.1038/nmeth.f.303
    32 sg:pub.10.1038/nri1350
    33 sg:pub.10.1038/nri3421
    34 sg:pub.10.1038/nrmicro2540
    35 sg:pub.10.1186/1471-2164-15-257
    36 sg:pub.10.1186/gb-2012-13-9-r79
    37 sg:pub.10.1186/gm228
    38 sg:pub.10.1186/s13059-014-0552-6
    39 sg:pub.10.1186/s13073-014-0107-1
    40 schema:datePublished 2015-09-15
    41 schema:datePublishedReg 2015-09-15
    42 schema:description 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.
    43 schema:genre article
    44 schema:isAccessibleForFree true
    45 schema:isPartOf N0dd1d15f09ed4e1582ee3bccafeed203
    46 N3accdd8066ac46ee8c96f84ba176ce81
    47 sg:journal.1023439
    48 schema:keywords ConclusionsOur results
    49 DNA reads
    50 Human Microbiome Project
    51 Microbiome Project
    52 ResultsHere
    53 abundance data
    54 adaptation
    55 association
    56 bacteria
    57 bacterial abundance data
    58 body
    59 body sites
    60 bowel disease
    61 community
    62 complex diseases
    63 complex interactions
    64 composition
    65 composition of bacteria
    66 conditions
    67 context
    68 data
    69 dataset
    70 degree
    71 differentiation
    72 disease
    73 disorders
    74 ecosystems
    75 efforts
    76 environmental factors
    77 evolution
    78 factors
    79 genes
    80 genetic differentiation
    81 genetic influences
    82 genetic variation
    83 genetics
    84 genome
    85 genomic adaptation
    86 genomic regions
    87 health conditions
    88 high levels
    89 host
    90 host genes
    91 host genetic variation
    92 host genomic regions
    93 human body
    94 human body sites
    95 human evolution
    96 human genetic variation
    97 human genetics
    98 human individuals
    99 human microbiome
    100 human population
    101 immunity-related pathways
    102 individuals
    103 inflammatory bowel disease
    104 influence
    105 information
    106 interaction
    107 levels
    108 metagenomic data
    109 microbial communities
    110 microbial ecosystem
    111 microbiome
    112 microbiome composition
    113 multiple health conditions
    114 obesity-related disorders
    115 part
    116 pathway
    117 point
    118 population
    119 project
    120 reads
    121 region
    122 results
    123 role
    124 scale
    125 shotgun metagenomic data
    126 significant association
    127 sites
    128 starting point
    129 study
    130 variation
    131 schema:name Host genetic variation impacts microbiome composition across human body sites
    132 schema:pagination 191
    133 schema:productId N25b4001873db4510979a496565aa8f5f
    134 Nb60dd1aeeb4542ebad4b832e5e0553a4
    135 Ndde7aef1aab54db4a1ec287bd931d19f
    136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017080966
    137 https://doi.org/10.1186/s13059-015-0759-1
    138 schema:sdDatePublished 2022-08-04T17:04
    139 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    140 schema:sdPublisher N357f35c3e04749b7a2738f837dfc72dd
    141 schema:url https://doi.org/10.1186/s13059-015-0759-1
    142 sgo:license sg:explorer/license/
    143 sgo:sdDataset articles
    144 rdf:type schema:ScholarlyArticle
    145 N0dd1d15f09ed4e1582ee3bccafeed203 schema:issueNumber 1
    146 rdf:type schema:PublicationIssue
    147 N1777e0f3a7874e15999d5cd038384f94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Genome, Human
    149 rdf:type schema:DefinedTerm
    150 N1c0b4193de954eb8ac9ba82dce74227b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Microbiota
    152 rdf:type schema:DefinedTerm
    153 N25b4001873db4510979a496565aa8f5f schema:name dimensions_id
    154 schema:value pub.1017080966
    155 rdf:type schema:PropertyValue
    156 N2a5eaaf2824d4648b8e8357664fb2178 rdf:first sg:person.01343731362.79
    157 rdf:rest Nc8e57a46bd774f7881d14cb1d2b94af1
    158 N357f35c3e04749b7a2738f837dfc72dd schema:name Springer Nature - SN SciGraph project
    159 rdf:type schema:Organization
    160 N3accdd8066ac46ee8c96f84ba176ce81 schema:volumeNumber 16
    161 rdf:type schema:PublicationVolume
    162 N3af20f4685244f0993e6b7b36cef8b2b rdf:first sg:person.012420471572.13
    163 rdf:rest Nf289516b11aa4821857b032f6ddbe287
    164 N48b87c5a667242c785e342291d63ac94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Humans
    166 rdf:type schema:DefinedTerm
    167 N499b40c4155841b1b7b5e87027960c12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Genetic Variation
    169 rdf:type schema:DefinedTerm
    170 N8bdfab39e9604fdd89b10881b3a8ab44 rdf:first sg:person.01342212257.50
    171 rdf:rest Nd8c258aa9fbd40ada2d5ab49b43381bc
    172 N98b5b689a81640eaaf735fed1e7f1d2d rdf:first sg:person.01066503340.60
    173 rdf:rest Nbe86204ae1d4488cb6c5ec6f8c11712e
    174 Nb10963531c364a52aa6a36c19c12cacb rdf:first sg:person.01133240553.94
    175 rdf:rest N2a5eaaf2824d4648b8e8357664fb2178
    176 Nb60dd1aeeb4542ebad4b832e5e0553a4 schema:name doi
    177 schema:value 10.1186/s13059-015-0759-1
    178 rdf:type schema:PropertyValue
    179 Nbe86204ae1d4488cb6c5ec6f8c11712e rdf:first sg:person.0725775131.01
    180 rdf:rest Nd828273c1b23439189b969f4be1e976f
    181 Nc8e57a46bd774f7881d14cb1d2b94af1 rdf:first sg:person.0777421022.06
    182 rdf:rest N3af20f4685244f0993e6b7b36cef8b2b
    183 Nd1e36973db9b48acb4e38f7b7388fc60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Bacteria
    185 rdf:type schema:DefinedTerm
    186 Nd828273c1b23439189b969f4be1e976f rdf:first sg:person.01123602703.16
    187 rdf:rest Nfe96349fc054479f94da379d3ebc116e
    188 Nd8c258aa9fbd40ada2d5ab49b43381bc rdf:first sg:person.0734677126.50
    189 rdf:rest Nb10963531c364a52aa6a36c19c12cacb
    190 Ndde7aef1aab54db4a1ec287bd931d19f schema:name pubmed_id
    191 schema:value 26374288
    192 rdf:type schema:PropertyValue
    193 Nf289516b11aa4821857b032f6ddbe287 rdf:first sg:person.015324146274.09
    194 rdf:rest N98b5b689a81640eaaf735fed1e7f1d2d
    195 Nf29ce137a59246be882547bf56929b28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    196 schema:name Metagenomics
    197 rdf:type schema:DefinedTerm
    198 Nfe96349fc054479f94da379d3ebc116e rdf:first sg:person.01072105370.02
    199 rdf:rest rdf:nil
    200 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    201 schema:name Biological Sciences
    202 rdf:type schema:DefinedTerm
    203 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    204 schema:name Genetics
    205 rdf:type schema:DefinedTerm
    206 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    207 schema:name Microbiology
    208 rdf:type schema:DefinedTerm
    209 sg:grant.2500517 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-015-0759-1
    210 rdf:type schema:MonetaryGrant
    211 sg:grant.2529470 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-015-0759-1
    212 rdf:type schema:MonetaryGrant
    213 sg:grant.2683802 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-015-0759-1
    214 rdf:type schema:MonetaryGrant
    215 sg:grant.2699346 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-015-0759-1
    216 rdf:type schema:MonetaryGrant
    217 sg:journal.1023439 schema:issn 1465-6906
    218 1474-760X
    219 schema:name Genome Biology
    220 schema:publisher Springer Nature
    221 rdf:type schema:Periodical
    222 sg:person.01066503340.60 schema:affiliation grid-institutes:grid.5386.8
    223 schema:familyName Keinan
    224 schema:givenName Alon
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066503340.60
    226 rdf:type schema:Person
    227 sg:person.01072105370.02 schema:affiliation grid-institutes:grid.5386.8
    228 schema:familyName Clark
    229 schema:givenName Andrew G.
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072105370.02
    231 rdf:type schema:Person
    232 sg:person.01123602703.16 schema:affiliation grid-institutes:None
    233 schema:familyName Gevers
    234 schema:givenName Dirk
    235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123602703.16
    236 rdf:type schema:Person
    237 sg:person.01133240553.94 schema:affiliation grid-institutes:grid.66859.34
    238 schema:familyName Huang
    239 schema:givenName Katherine
    240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133240553.94
    241 rdf:type schema:Person
    242 sg:person.012420471572.13 schema:affiliation grid-institutes:grid.13097.3c
    243 schema:familyName Bell
    244 schema:givenName Jordana T.
    245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420471572.13
    246 rdf:type schema:Person
    247 sg:person.01342212257.50 schema:affiliation grid-institutes:grid.17635.36
    248 schema:familyName Blekhman
    249 schema:givenName Ran
    250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342212257.50
    251 rdf:type schema:Person
    252 sg:person.01343731362.79 schema:affiliation grid-institutes:grid.5386.8
    253 schema:familyName Sun
    254 schema:givenName Qi
    255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343731362.79
    256 rdf:type schema:Person
    257 sg:person.015324146274.09 schema:affiliation grid-institutes:grid.13097.3c
    258 schema:familyName Spector
    259 schema:givenName Timothy D.
    260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015324146274.09
    261 rdf:type schema:Person
    262 sg:person.0725775131.01 schema:affiliation grid-institutes:grid.5386.8
    263 schema:familyName Ley
    264 schema:givenName Ruth E.
    265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725775131.01
    266 rdf:type schema:Person
    267 sg:person.0734677126.50 schema:affiliation grid-institutes:grid.5386.8
    268 schema:familyName Goodrich
    269 schema:givenName Julia K.
    270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734677126.50
    271 rdf:type schema:Person
    272 sg:person.0777421022.06 schema:affiliation grid-institutes:grid.5386.8
    273 schema:familyName Bukowski
    274 schema:givenName Robert
    275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777421022.06
    276 rdf:type schema:Person
    277 sg:pub.10.1038/ismej.2014.64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039762239
    278 https://doi.org/10.1038/ismej.2014.64
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/nature05414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023893418
    281 https://doi.org/10.1038/nature05414
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/nature07336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020900000
    284 https://doi.org/10.1038/nature07336
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/nature07540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030170002
    287 https://doi.org/10.1038/nature07540
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/nature09534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608717
    290 https://doi.org/10.1038/nature09534
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/nature10209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011250403
    293 https://doi.org/10.1038/nature10209
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/nature10809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022220176
    296 https://doi.org/10.1038/nature10809
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/nature11053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052378845
    299 https://doi.org/10.1038/nature11053
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/nature11209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027248000
    302 https://doi.org/10.1038/nature11209
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1038/nature11234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007740093
    305 https://doi.org/10.1038/nature11234
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1038/nature11450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004546178
    308 https://doi.org/10.1038/nature11450
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1038/nature11632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000661742
    311 https://doi.org/10.1038/nature11632
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1038/nature12506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003823032
    314 https://doi.org/10.1038/nature12506
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1038/nature12820 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013830289
    317 https://doi.org/10.1038/nature12820
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1038/nature13178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022430209
    320 https://doi.org/10.1038/nature13178
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1038/ng.2653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032444369
    323 https://doi.org/10.1038/ng.2653
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1038/ng.806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010244476
    326 https://doi.org/10.1038/ng.806
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1038/ng1946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014224859
    329 https://doi.org/10.1038/ng1946
    330 rdf:type schema:CreativeWork
    331 sg:pub.10.1038/ng786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041343500
    332 https://doi.org/10.1038/ng786
    333 rdf:type schema:CreativeWork
    334 sg:pub.10.1038/ni.1825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022884317
    335 https://doi.org/10.1038/ni.1825
    336 rdf:type schema:CreativeWork
    337 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
    338 https://doi.org/10.1038/nmeth.f.303
    339 rdf:type schema:CreativeWork
    340 sg:pub.10.1038/nri1350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033571944
    341 https://doi.org/10.1038/nri1350
    342 rdf:type schema:CreativeWork
    343 sg:pub.10.1038/nri3421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018641520
    344 https://doi.org/10.1038/nri3421
    345 rdf:type schema:CreativeWork
    346 sg:pub.10.1038/nrmicro2540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045931365
    347 https://doi.org/10.1038/nrmicro2540
    348 rdf:type schema:CreativeWork
    349 sg:pub.10.1186/1471-2164-15-257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002664833
    350 https://doi.org/10.1186/1471-2164-15-257
    351 rdf:type schema:CreativeWork
    352 sg:pub.10.1186/gb-2012-13-9-r79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029450096
    353 https://doi.org/10.1186/gb-2012-13-9-r79
    354 rdf:type schema:CreativeWork
    355 sg:pub.10.1186/gm228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029672269
    356 https://doi.org/10.1186/gm228
    357 rdf:type schema:CreativeWork
    358 sg:pub.10.1186/s13059-014-0552-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024893270
    359 https://doi.org/10.1186/s13059-014-0552-6
    360 rdf:type schema:CreativeWork
    361 sg:pub.10.1186/s13073-014-0107-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006350078
    362 https://doi.org/10.1186/s13073-014-0107-1
    363 rdf:type schema:CreativeWork
    364 grid-institutes:None schema:alternateName Current address: Janssen Human Microbiome Institute, Janssen Research and Development, 02142, Cambridge, MA, USA
    365 schema:name Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA
    366 Current address: Janssen Human Microbiome Institute, Janssen Research and Development, 02142, Cambridge, MA, USA
    367 rdf:type schema:Organization
    368 grid-institutes:grid.13097.3c schema:alternateName Department of Twin Research & Genetic Epidemiology, King’s College, London, UK
    369 schema:name Department of Twin Research & Genetic Epidemiology, King’s College, London, UK
    370 rdf:type schema:Organization
    371 grid-institutes:grid.17635.36 schema:alternateName Department of Ecology, Evolution, and Behavior, University of Minnesota, 55108, St. Paul, MN, USA
    372 schema:name Department of Ecology, Evolution, and Behavior, University of Minnesota, 55108, St. Paul, MN, USA
    373 Department of Genetics, Cell Biology, and Development, University of Minnesota, 55455, Minneapolis, MN, USA
    374 rdf:type schema:Organization
    375 grid-institutes:grid.5386.8 schema:alternateName BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA
    376 Department of Biological Statistics and Computational Biology, Cornell University, 14853, Ithaca, NY, USA
    377 Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA
    378 Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA
    379 schema:name BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, 14853, Ithaca, NY, USA
    380 Department of Biological Statistics and Computational Biology, Cornell University, 14853, Ithaca, NY, USA
    381 Department of Microbiology, Cornell University, 14853, Ithaca, NY, USA
    382 Department of Molecular Biology and Genetics, Cornell University, 14853, Ithaca, NY, USA
    383 rdf:type schema:Organization
    384 grid-institutes:grid.66859.34 schema:alternateName Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA
    385 schema:name Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA
    386 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...