Complex host genetics influence the microbiome in inflammatory bowel disease View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12-02

AUTHORS

Dan Knights, Mark S Silverberg, Rinse K Weersma, Dirk Gevers, Gerard Dijkstra, Hailiang Huang, Andrea D Tyler, Suzanne van Sommeren, Floris Imhann, Joanne M Stempak, Hu Huang, Pajau Vangay, Gabriel A Al-Ghalith, Caitlin Russell, Jenny Sauk, Jo Knight, Mark J Daly, Curtis Huttenhower, Ramnik J Xavier

ABSTRACT

BACKGROUND: Human genetics and host-associated microbial communities have been associated independently with a wide range of chronic diseases. One of the strongest associations in each case is inflammatory bowel disease (IBD), but disease risk cannot be explained fully by either factor individually. Recent findings point to interactions between host genetics and microbial exposures as important contributors to disease risk in IBD. These include evidence of the partial heritability of the gut microbiota and the conferral of gut mucosal inflammation by microbiome transplant even when the dysbiosis was initially genetically derived. Although there have been several tests for association of individual genetic loci with bacterial taxa, there has been no direct comparison of complex genome-microbiome associations in large cohorts of patients with an immunity-related disease. METHODS: We obtained 16S ribosomal RNA (rRNA) gene sequences from intestinal biopsies as well as host genotype via Immunochip in three independent cohorts totaling 474 individuals. We tested for correlation between relative abundance of bacterial taxa and number of minor alleles at known IBD risk loci, including fine mapping of multiple risk alleles in the Nucleotide-binding oligomerization domain-containing protein 2 (NOD2) gene exon. We identified host polymorphisms whose associations with bacterial taxa were conserved across two or more cohorts, and we tested related genes for enrichment of host functional pathways. RESULTS: We identified and confirmed in two cohorts a significant association between NOD2 risk allele count and increased relative abundance of Enterobacteriaceae, with directionality of the effect conserved in the third cohort. Forty-eight additional IBD-related SNPs have directionality of their associations with bacterial taxa significantly conserved across two or three cohorts, implicating genes enriched for regulation of innate immune response, the JAK-STAT cascade, and other immunity-related pathways. CONCLUSIONS: These results suggest complex interactions between genetically altered host functional pathways and the structure of the microbiome. Our findings demonstrate the ability to uncover novel associations from paired genome-microbiome data, and they suggest a complex link between host genetics and microbial dysbiosis in subjects with IBD across independent cohorts. More... »

PAGES

107

References to SciGraph publications

  • 2012-06-13. A framework for human microbiome research in NATURE
  • 2012-04-16. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment in GENOME BIOLOGY
  • 2011-12-01. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2012-12-19. TL1A/TNFSF15 directly induces proinflammatory cytokines, including TNFα, from CD3+CD161+ T cells to exacerbate gut inflammation in MUCOSAL IMMUNOLOGY
  • 2007-07-12. Culture independent analysis of ileal mucosa reveals a selective increase in invasive Escherichia coli of novel phylogeny relative to depletion of Clostridiales in Crohn's disease involving the ileum in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2012-10-31. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease in NATURE
  • 2011-10-09. Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease in NATURE GENETICS
  • 2014-02-13. Detection of Mycobacterium avium subspecies paratuberculosis in patients with Crohn’s disease is unrelated to the presence of single nucleotide polymorphisms rs2241880 (ATG16L1) and rs10045431 (IL12B) in MEDICAL MICROBIOLOGY AND IMMUNOLOGY
  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2010-09-09. UniFrac: an effective distance metric for microbial community comparison in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2013-12-11. Diet rapidly and reproducibly alters the human gut microbiome in NATURE
  • 2010. Promise and pitfalls of the Immunochip in ARTHRITIS RESEARCH & THERAPY
  • 2012-07-25. ACE2 links amino acid malnutrition to microbial ecology and intestinal inflammation in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13073-014-0107-1

    DOI

    http://dx.doi.org/10.1186/s13073-014-0107-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1006350078

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25587358


    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/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health 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"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1107", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Immunology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Biotechnology Institute, University of Minnesota, St. Paul, Minnesota 55108 USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota 55455 USA", 
                "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
                "Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
                "Biotechnology Institute, University of Minnesota, St. Paul, Minnesota 55108 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Knights", 
            "givenName": "Dan", 
            "id": "sg:person.01054701157.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054701157.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada", 
              "id": "http://www.grid.ac/institutes/grid.17063.33", 
              "name": [
                "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Silverberg", 
            "givenName": "Mark S", 
            "id": "sg:person.01262212013.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262212013.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Weersma", 
            "givenName": "Rinse K", 
            "id": "sg:person.01346343347.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346343347.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
              "id": "http://www.grid.ac/institutes/grid.66859.34", 
              "name": [
                "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 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 Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dijkstra", 
            "givenName": "Gerard", 
            "id": "sg:person.0600470137.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600470137.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114 USA", 
              "id": "http://www.grid.ac/institutes/grid.32224.35", 
              "name": [
                "Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huang", 
            "givenName": "Hailiang", 
            "id": "sg:person.0714264440.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714264440.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada", 
              "id": "http://www.grid.ac/institutes/grid.17063.33", 
              "name": [
                "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tyler", 
            "givenName": "Andrea D", 
            "id": "sg:person.01217460113.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217460113.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
                "Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Sommeren", 
            "givenName": "Suzanne", 
            "id": "sg:person.01117216354.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117216354.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands", 
                "Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Imhann", 
            "givenName": "Floris", 
            "id": "sg:person.01101164010.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101164010.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada", 
              "id": "http://www.grid.ac/institutes/grid.17063.33", 
              "name": [
                "Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stempak", 
            "givenName": "Joanne M", 
            "id": "sg:person.0610302413.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610302413.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huang", 
            "givenName": "Hu", 
            "id": "sg:person.01215412410.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215412410.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vangay", 
            "givenName": "Pajau", 
            "id": "sg:person.0653036035.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653036035.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Al-Ghalith", 
            "givenName": "Gabriel A", 
            "id": "sg:person.01331641010.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331641010.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
              "id": "http://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
                "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Russell", 
            "givenName": "Caitlin", 
            "id": "sg:person.01252622354.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252622354.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
              "id": "http://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sauk", 
            "givenName": "Jenny", 
            "id": "sg:person.0734646245.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734646245.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8 Canada", 
              "id": "http://www.grid.ac/institutes/grid.17063.33", 
              "name": [
                "Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8 Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Knight", 
            "givenName": "Jo", 
            "id": "sg:person.011010423317.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011010423317.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
              "id": "http://www.grid.ac/institutes/grid.66859.34", 
              "name": [
                "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
                "Department of Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
                "Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Daly", 
            "givenName": "Mark J", 
            "id": "sg:person.011517303117.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011517303117.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115 USA", 
              "id": "http://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
                "Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huttenhower", 
            "givenName": "Curtis", 
            "id": "sg:person.01214462502.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214462502.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
              "id": "http://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA", 
                "Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA", 
                "Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xavier", 
            "givenName": "Ramnik J", 
            "id": "sg:person.0717130066.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717130066.82"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "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.10.1038/ismej.2007.52", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019380044", 
              "https://doi.org/10.1038/ismej.2007.52"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2010.133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042916034", 
              "https://doi.org/10.1038/ismej.2010.133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mi.2012.124", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030774145", 
              "https://doi.org/10.1038/mi.2012.124"
            ], 
            "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.10.1038/nature11228", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002887848", 
              "https://doi.org/10.1038/nature11228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11582", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046541188", 
              "https://doi.org/10.1038/nature11582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/ar3204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033609104", 
              "https://doi.org/10.1186/ar3204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00430-014-0332-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042761476", 
              "https://doi.org/10.1007/s00430-014-0332-7"
            ], 
            "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/ng.952", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043485621", 
              "https://doi.org/10.1038/ng.952"
            ], 
            "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/ismej.2011.139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051863807", 
              "https://doi.org/10.1038/ismej.2011.139"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-12-02", 
        "datePublishedReg": "2014-12-02", 
        "description": "BACKGROUND: Human genetics and host-associated microbial communities have been associated independently with a wide range of chronic diseases. One of the strongest associations in each case is inflammatory bowel disease (IBD), but disease risk cannot be explained fully by either factor individually. Recent findings point to interactions between host genetics and microbial exposures as important contributors to disease risk in IBD. These include evidence of the partial heritability of the gut microbiota and the conferral of gut mucosal inflammation by microbiome transplant even when the dysbiosis was initially genetically derived. Although there have been several tests for association of individual genetic loci with bacterial taxa, there has been no direct comparison of complex genome-microbiome associations in large cohorts of patients with an immunity-related disease.\nMETHODS: We obtained 16S ribosomal RNA (rRNA) gene sequences from intestinal biopsies as well as host genotype via Immunochip in three independent cohorts totaling 474 individuals. We tested for correlation between relative abundance of bacterial taxa and number of minor alleles at known IBD risk loci, including fine mapping of multiple risk alleles in the Nucleotide-binding oligomerization domain-containing protein 2 (NOD2) gene exon. We identified host polymorphisms whose associations with bacterial taxa were conserved across two or more cohorts, and we tested related genes for enrichment of host functional pathways.\nRESULTS: We identified and confirmed in two cohorts a significant association between NOD2 risk allele count and increased relative abundance of Enterobacteriaceae, with directionality of the effect conserved in the third cohort. Forty-eight additional IBD-related SNPs have directionality of their associations with bacterial taxa significantly conserved across two or three cohorts, implicating genes enriched for regulation of innate immune response, the JAK-STAT cascade, and other immunity-related pathways.\nCONCLUSIONS: These results suggest complex interactions between genetically altered host functional pathways and the structure of the microbiome. Our findings demonstrate the ability to uncover novel associations from paired genome-microbiome data, and they suggest a complex link between host genetics and microbial dysbiosis in subjects with IBD across independent cohorts.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s13073-014-0107-1", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2529416", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2500444", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2699180", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3806830", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3121390", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1040124", 
            "issn": [
              "1756-994X"
            ], 
            "name": "Genome Medicine", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "12", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "keywords": [
          "bacterial taxa", 
          "host-associated microbial communities", 
          "inflammatory bowel disease", 
          "functional pathways", 
          "ribosomal RNA gene sequences", 
          "immunity-related pathways", 
          "host genetics", 
          "individual genetic loci", 
          "relative abundance", 
          "RNA gene sequences", 
          "complex host genetics", 
          "JAK-STAT", 
          "immunity-related diseases", 
          "microbial communities", 
          "gene sequences", 
          "implicating genes", 
          "host genotype", 
          "fine mapping", 
          "genetic loci", 
          "related genes", 
          "bowel disease", 
          "partial heritability", 
          "taxa", 
          "independent cohort", 
          "human genetics", 
          "IBD risk loci", 
          "risk loci", 
          "innate immune response", 
          "genetics", 
          "gene exons", 
          "gut mucosal inflammation", 
          "risk allele count", 
          "genes", 
          "allele counts", 
          "loci", 
          "pathway", 
          "novel association", 
          "recent findings", 
          "multiple risk alleles", 
          "microbiome", 
          "abundance", 
          "gut microbiota", 
          "mucosal inflammation", 
          "intestinal biopsies", 
          "microbial dysbiosis", 
          "host polymorphisms", 
          "alleles", 
          "chronic diseases", 
          "large cohort", 
          "immune response", 
          "microbial exposure", 
          "significant association", 
          "disease risk", 
          "risk alleles", 
          "cohort", 
          "minor allele", 
          "third cohort", 
          "disease", 
          "complex interactions", 
          "strong association", 
          "exons", 
          "more cohorts", 
          "dysbiosis", 
          "association", 
          "nucleotides", 
          "heritability", 
          "regulation", 
          "SNPs", 
          "sequence", 
          "risk", 
          "microbiota", 
          "important contributor", 
          "genotypes", 
          "polymorphism", 
          "interaction", 
          "complex links", 
          "directionality", 
          "patients", 
          "inflammation", 
          "transplant", 
          "biopsy", 
          "enrichment", 
          "findings", 
          "wide range", 
          "Enterobacteriaceae", 
          "subjects", 
          "community", 
          "Immunochip", 
          "exposure", 
          "counts", 
          "mapping", 
          "direct comparison", 
          "ability", 
          "response", 
          "individuals", 
          "evidence", 
          "factors", 
          "cases", 
          "test", 
          "structure", 
          "correlation", 
          "conferral", 
          "effect", 
          "link", 
          "contributor", 
          "number", 
          "data", 
          "comparison", 
          "range", 
          "results", 
          "microbiome transplant", 
          "complex genome-microbiome associations", 
          "genome-microbiome associations", 
          "oligomerization domain-containing protein 2 (NOD2) gene exon", 
          "domain-containing protein 2 (NOD2) gene exon", 
          "protein 2 (NOD2) gene exon", 
          "host functional pathways", 
          "NOD2 risk allele count", 
          "additional IBD", 
          "genome-microbiome data"
        ], 
        "name": "Complex host genetics influence the microbiome in inflammatory bowel disease", 
        "pagination": "107", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1006350078"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13073-014-0107-1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25587358"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13073-014-0107-1", 
          "https://app.dimensions.ai/details/publication/pub.1006350078"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_643.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s13073-014-0107-1"
      }
    ]
     

    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/s13073-014-0107-1'

    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/s13073-014-0107-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13073-014-0107-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13073-014-0107-1'


     

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

    412 TRIPLES      22 PREDICATES      162 URIs      138 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13073-014-0107-1 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 anzsrc-for:0605
    4 anzsrc-for:11
    5 anzsrc-for:1107
    6 schema:author Nd474cd1e3c814d709ae76698508aedd8
    7 schema:citation sg:pub.10.1007/s00430-014-0332-7
    8 sg:pub.10.1038/ismej.2007.52
    9 sg:pub.10.1038/ismej.2010.133
    10 sg:pub.10.1038/ismej.2011.139
    11 sg:pub.10.1038/mi.2012.124
    12 sg:pub.10.1038/nature11209
    13 sg:pub.10.1038/nature11228
    14 sg:pub.10.1038/nature11582
    15 sg:pub.10.1038/nature12820
    16 sg:pub.10.1038/ng.952
    17 sg:pub.10.1038/nmeth.f.303
    18 sg:pub.10.1186/ar3204
    19 sg:pub.10.1186/gb-2012-13-9-r79
    20 schema:datePublished 2014-12-02
    21 schema:datePublishedReg 2014-12-02
    22 schema:description BACKGROUND: Human genetics and host-associated microbial communities have been associated independently with a wide range of chronic diseases. One of the strongest associations in each case is inflammatory bowel disease (IBD), but disease risk cannot be explained fully by either factor individually. Recent findings point to interactions between host genetics and microbial exposures as important contributors to disease risk in IBD. These include evidence of the partial heritability of the gut microbiota and the conferral of gut mucosal inflammation by microbiome transplant even when the dysbiosis was initially genetically derived. Although there have been several tests for association of individual genetic loci with bacterial taxa, there has been no direct comparison of complex genome-microbiome associations in large cohorts of patients with an immunity-related disease. METHODS: We obtained 16S ribosomal RNA (rRNA) gene sequences from intestinal biopsies as well as host genotype via Immunochip in three independent cohorts totaling 474 individuals. We tested for correlation between relative abundance of bacterial taxa and number of minor alleles at known IBD risk loci, including fine mapping of multiple risk alleles in the Nucleotide-binding oligomerization domain-containing protein 2 (NOD2) gene exon. We identified host polymorphisms whose associations with bacterial taxa were conserved across two or more cohorts, and we tested related genes for enrichment of host functional pathways. RESULTS: We identified and confirmed in two cohorts a significant association between NOD2 risk allele count and increased relative abundance of Enterobacteriaceae, with directionality of the effect conserved in the third cohort. Forty-eight additional IBD-related SNPs have directionality of their associations with bacterial taxa significantly conserved across two or three cohorts, implicating genes enriched for regulation of innate immune response, the JAK-STAT cascade, and other immunity-related pathways. CONCLUSIONS: These results suggest complex interactions between genetically altered host functional pathways and the structure of the microbiome. Our findings demonstrate the ability to uncover novel associations from paired genome-microbiome data, and they suggest a complex link between host genetics and microbial dysbiosis in subjects with IBD across independent cohorts.
    23 schema:genre article
    24 schema:inLanguage en
    25 schema:isAccessibleForFree true
    26 schema:isPartOf N7390014f9bd447738c4238a02a1c6f32
    27 Nc8a7738e92284960af57f852541148f7
    28 sg:journal.1040124
    29 schema:keywords Enterobacteriaceae
    30 IBD risk loci
    31 Immunochip
    32 JAK-STAT
    33 NOD2 risk allele count
    34 RNA gene sequences
    35 SNPs
    36 ability
    37 abundance
    38 additional IBD
    39 allele counts
    40 alleles
    41 association
    42 bacterial taxa
    43 biopsy
    44 bowel disease
    45 cases
    46 chronic diseases
    47 cohort
    48 community
    49 comparison
    50 complex genome-microbiome associations
    51 complex host genetics
    52 complex interactions
    53 complex links
    54 conferral
    55 contributor
    56 correlation
    57 counts
    58 data
    59 direct comparison
    60 directionality
    61 disease
    62 disease risk
    63 domain-containing protein 2 (NOD2) gene exon
    64 dysbiosis
    65 effect
    66 enrichment
    67 evidence
    68 exons
    69 exposure
    70 factors
    71 findings
    72 fine mapping
    73 functional pathways
    74 gene exons
    75 gene sequences
    76 genes
    77 genetic loci
    78 genetics
    79 genome-microbiome associations
    80 genome-microbiome data
    81 genotypes
    82 gut microbiota
    83 gut mucosal inflammation
    84 heritability
    85 host functional pathways
    86 host genetics
    87 host genotype
    88 host polymorphisms
    89 host-associated microbial communities
    90 human genetics
    91 immune response
    92 immunity-related diseases
    93 immunity-related pathways
    94 implicating genes
    95 important contributor
    96 independent cohort
    97 individual genetic loci
    98 individuals
    99 inflammation
    100 inflammatory bowel disease
    101 innate immune response
    102 interaction
    103 intestinal biopsies
    104 large cohort
    105 link
    106 loci
    107 mapping
    108 microbial communities
    109 microbial dysbiosis
    110 microbial exposure
    111 microbiome
    112 microbiome transplant
    113 microbiota
    114 minor allele
    115 more cohorts
    116 mucosal inflammation
    117 multiple risk alleles
    118 novel association
    119 nucleotides
    120 number
    121 oligomerization domain-containing protein 2 (NOD2) gene exon
    122 partial heritability
    123 pathway
    124 patients
    125 polymorphism
    126 protein 2 (NOD2) gene exon
    127 range
    128 recent findings
    129 regulation
    130 related genes
    131 relative abundance
    132 response
    133 results
    134 ribosomal RNA gene sequences
    135 risk
    136 risk allele count
    137 risk alleles
    138 risk loci
    139 sequence
    140 significant association
    141 strong association
    142 structure
    143 subjects
    144 taxa
    145 test
    146 third cohort
    147 transplant
    148 wide range
    149 schema:name Complex host genetics influence the microbiome in inflammatory bowel disease
    150 schema:pagination 107
    151 schema:productId N3ddaae5c20574137a1ed0952633e927f
    152 N4122497f61d1418dafe924aa86ecb8df
    153 Na3c61d0ff26145a281fb4d9ea6cd2387
    154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006350078
    155 https://doi.org/10.1186/s13073-014-0107-1
    156 schema:sdDatePublished 2021-12-01T19:32
    157 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    158 schema:sdPublisher Nb1c3a07e36154264ab732d928531b244
    159 schema:url https://doi.org/10.1186/s13073-014-0107-1
    160 sgo:license sg:explorer/license/
    161 sgo:sdDataset articles
    162 rdf:type schema:ScholarlyArticle
    163 N00590ac22a6f4ad0bb1a7a5db4aa2a4d rdf:first sg:person.0734646245.51
    164 rdf:rest N608743e86d7a46bba3560157359d41ce
    165 N03406767672e4767a13156f69a1b5bd7 rdf:first sg:person.01346343347.18
    166 rdf:rest Naee5116266384e3083398756ff3d5291
    167 N26358b4abd74420b914991c20c9409ac rdf:first sg:person.01101164010.05
    168 rdf:rest N61742a10fc4c4a4dbd8ea3c06e8217f2
    169 N3ddaae5c20574137a1ed0952633e927f schema:name dimensions_id
    170 schema:value pub.1006350078
    171 rdf:type schema:PropertyValue
    172 N4122497f61d1418dafe924aa86ecb8df schema:name pubmed_id
    173 schema:value 25587358
    174 rdf:type schema:PropertyValue
    175 N4471ae7cf40a41b3877bb686b02d8982 rdf:first sg:person.0653036035.34
    176 rdf:rest N5bc297dd6b5d4b93afbfc47f967ff9db
    177 N4f0ed2069c714e64aca72c2c1e70b438 rdf:first sg:person.01262212013.68
    178 rdf:rest N03406767672e4767a13156f69a1b5bd7
    179 N527abe7d1ccd424d89b7c8ad447ef0dc rdf:first sg:person.0714264440.15
    180 rdf:rest N55fcbcebfdcb47a18c64d4daf979fd6a
    181 N55fcbcebfdcb47a18c64d4daf979fd6a rdf:first sg:person.01217460113.09
    182 rdf:rest N65c884d197584a93a29706cd27e89407
    183 N5bc297dd6b5d4b93afbfc47f967ff9db rdf:first sg:person.01331641010.22
    184 rdf:rest N6cbd7c524dde403ab03bb7b39facbb06
    185 N608743e86d7a46bba3560157359d41ce rdf:first sg:person.011010423317.37
    186 rdf:rest N6e5d443ad5214620b9701f0dd1420aa9
    187 N61742a10fc4c4a4dbd8ea3c06e8217f2 rdf:first sg:person.0610302413.21
    188 rdf:rest N8d717a6878af4f66a7aa7f1c625802bc
    189 N65c884d197584a93a29706cd27e89407 rdf:first sg:person.01117216354.35
    190 rdf:rest N26358b4abd74420b914991c20c9409ac
    191 N6cbd7c524dde403ab03bb7b39facbb06 rdf:first sg:person.01252622354.20
    192 rdf:rest N00590ac22a6f4ad0bb1a7a5db4aa2a4d
    193 N6e5d443ad5214620b9701f0dd1420aa9 rdf:first sg:person.011517303117.07
    194 rdf:rest N8363e4a8032147f583c96473be531758
    195 N7390014f9bd447738c4238a02a1c6f32 schema:issueNumber 12
    196 rdf:type schema:PublicationIssue
    197 N8363e4a8032147f583c96473be531758 rdf:first sg:person.01214462502.85
    198 rdf:rest Nf8377a1f832a4ee1aa9c5d3643e0dfa5
    199 N8d717a6878af4f66a7aa7f1c625802bc rdf:first sg:person.01215412410.64
    200 rdf:rest N4471ae7cf40a41b3877bb686b02d8982
    201 Na209ff8b93da422caa78fd6fb928ca57 rdf:first sg:person.0600470137.03
    202 rdf:rest N527abe7d1ccd424d89b7c8ad447ef0dc
    203 Na3c61d0ff26145a281fb4d9ea6cd2387 schema:name doi
    204 schema:value 10.1186/s13073-014-0107-1
    205 rdf:type schema:PropertyValue
    206 Naee5116266384e3083398756ff3d5291 rdf:first sg:person.01123602703.16
    207 rdf:rest Na209ff8b93da422caa78fd6fb928ca57
    208 Nb1c3a07e36154264ab732d928531b244 schema:name Springer Nature - SN SciGraph project
    209 rdf:type schema:Organization
    210 Nc8a7738e92284960af57f852541148f7 schema:volumeNumber 6
    211 rdf:type schema:PublicationVolume
    212 Nd474cd1e3c814d709ae76698508aedd8 rdf:first sg:person.01054701157.41
    213 rdf:rest N4f0ed2069c714e64aca72c2c1e70b438
    214 Nf8377a1f832a4ee1aa9c5d3643e0dfa5 rdf:first sg:person.0717130066.82
    215 rdf:rest rdf:nil
    216 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    217 schema:name Biological Sciences
    218 rdf:type schema:DefinedTerm
    219 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    220 schema:name Genetics
    221 rdf:type schema:DefinedTerm
    222 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    223 schema:name Microbiology
    224 rdf:type schema:DefinedTerm
    225 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    226 schema:name Medical and Health Sciences
    227 rdf:type schema:DefinedTerm
    228 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
    229 schema:name Immunology
    230 rdf:type schema:DefinedTerm
    231 sg:grant.2500444 http://pending.schema.org/fundedItem sg:pub.10.1186/s13073-014-0107-1
    232 rdf:type schema:MonetaryGrant
    233 sg:grant.2529416 http://pending.schema.org/fundedItem sg:pub.10.1186/s13073-014-0107-1
    234 rdf:type schema:MonetaryGrant
    235 sg:grant.2699180 http://pending.schema.org/fundedItem sg:pub.10.1186/s13073-014-0107-1
    236 rdf:type schema:MonetaryGrant
    237 sg:grant.3121390 http://pending.schema.org/fundedItem sg:pub.10.1186/s13073-014-0107-1
    238 rdf:type schema:MonetaryGrant
    239 sg:grant.3806830 http://pending.schema.org/fundedItem sg:pub.10.1186/s13073-014-0107-1
    240 rdf:type schema:MonetaryGrant
    241 sg:journal.1040124 schema:issn 1756-994X
    242 schema:name Genome Medicine
    243 schema:publisher Springer Nature
    244 rdf:type schema:Periodical
    245 sg:person.01054701157.41 schema:affiliation grid-institutes:grid.17635.36
    246 schema:familyName Knights
    247 schema:givenName Dan
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054701157.41
    249 rdf:type schema:Person
    250 sg:person.011010423317.37 schema:affiliation grid-institutes:grid.17063.33
    251 schema:familyName Knight
    252 schema:givenName Jo
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011010423317.37
    254 rdf:type schema:Person
    255 sg:person.01101164010.05 schema:affiliation grid-institutes:grid.4494.d
    256 schema:familyName Imhann
    257 schema:givenName Floris
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101164010.05
    259 rdf:type schema:Person
    260 sg:person.01117216354.35 schema:affiliation grid-institutes:grid.4494.d
    261 schema:familyName van Sommeren
    262 schema:givenName Suzanne
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117216354.35
    264 rdf:type schema:Person
    265 sg:person.01123602703.16 schema:affiliation grid-institutes:grid.66859.34
    266 schema:familyName Gevers
    267 schema:givenName Dirk
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123602703.16
    269 rdf:type schema:Person
    270 sg:person.011517303117.07 schema:affiliation grid-institutes:grid.66859.34
    271 schema:familyName Daly
    272 schema:givenName Mark J
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011517303117.07
    274 rdf:type schema:Person
    275 sg:person.01214462502.85 schema:affiliation grid-institutes:grid.38142.3c
    276 schema:familyName Huttenhower
    277 schema:givenName Curtis
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214462502.85
    279 rdf:type schema:Person
    280 sg:person.01215412410.64 schema:affiliation grid-institutes:grid.17635.36
    281 schema:familyName Huang
    282 schema:givenName Hu
    283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215412410.64
    284 rdf:type schema:Person
    285 sg:person.01217460113.09 schema:affiliation grid-institutes:grid.17063.33
    286 schema:familyName Tyler
    287 schema:givenName Andrea D
    288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217460113.09
    289 rdf:type schema:Person
    290 sg:person.01252622354.20 schema:affiliation grid-institutes:grid.38142.3c
    291 schema:familyName Russell
    292 schema:givenName Caitlin
    293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252622354.20
    294 rdf:type schema:Person
    295 sg:person.01262212013.68 schema:affiliation grid-institutes:grid.17063.33
    296 schema:familyName Silverberg
    297 schema:givenName Mark S
    298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262212013.68
    299 rdf:type schema:Person
    300 sg:person.01331641010.22 schema:affiliation grid-institutes:grid.17635.36
    301 schema:familyName Al-Ghalith
    302 schema:givenName Gabriel A
    303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331641010.22
    304 rdf:type schema:Person
    305 sg:person.01346343347.18 schema:affiliation grid-institutes:grid.4494.d
    306 schema:familyName Weersma
    307 schema:givenName Rinse K
    308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346343347.18
    309 rdf:type schema:Person
    310 sg:person.0600470137.03 schema:affiliation grid-institutes:grid.4494.d
    311 schema:familyName Dijkstra
    312 schema:givenName Gerard
    313 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600470137.03
    314 rdf:type schema:Person
    315 sg:person.0610302413.21 schema:affiliation grid-institutes:grid.17063.33
    316 schema:familyName Stempak
    317 schema:givenName Joanne M
    318 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610302413.21
    319 rdf:type schema:Person
    320 sg:person.0653036035.34 schema:affiliation grid-institutes:grid.17635.36
    321 schema:familyName Vangay
    322 schema:givenName Pajau
    323 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653036035.34
    324 rdf:type schema:Person
    325 sg:person.0714264440.15 schema:affiliation grid-institutes:grid.32224.35
    326 schema:familyName Huang
    327 schema:givenName Hailiang
    328 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714264440.15
    329 rdf:type schema:Person
    330 sg:person.0717130066.82 schema:affiliation grid-institutes:grid.38142.3c
    331 schema:familyName Xavier
    332 schema:givenName Ramnik J
    333 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717130066.82
    334 rdf:type schema:Person
    335 sg:person.0734646245.51 schema:affiliation grid-institutes:grid.38142.3c
    336 schema:familyName Sauk
    337 schema:givenName Jenny
    338 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734646245.51
    339 rdf:type schema:Person
    340 sg:pub.10.1007/s00430-014-0332-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042761476
    341 https://doi.org/10.1007/s00430-014-0332-7
    342 rdf:type schema:CreativeWork
    343 sg:pub.10.1038/ismej.2007.52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019380044
    344 https://doi.org/10.1038/ismej.2007.52
    345 rdf:type schema:CreativeWork
    346 sg:pub.10.1038/ismej.2010.133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042916034
    347 https://doi.org/10.1038/ismej.2010.133
    348 rdf:type schema:CreativeWork
    349 sg:pub.10.1038/ismej.2011.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051863807
    350 https://doi.org/10.1038/ismej.2011.139
    351 rdf:type schema:CreativeWork
    352 sg:pub.10.1038/mi.2012.124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030774145
    353 https://doi.org/10.1038/mi.2012.124
    354 rdf:type schema:CreativeWork
    355 sg:pub.10.1038/nature11209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027248000
    356 https://doi.org/10.1038/nature11209
    357 rdf:type schema:CreativeWork
    358 sg:pub.10.1038/nature11228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002887848
    359 https://doi.org/10.1038/nature11228
    360 rdf:type schema:CreativeWork
    361 sg:pub.10.1038/nature11582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046541188
    362 https://doi.org/10.1038/nature11582
    363 rdf:type schema:CreativeWork
    364 sg:pub.10.1038/nature12820 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013830289
    365 https://doi.org/10.1038/nature12820
    366 rdf:type schema:CreativeWork
    367 sg:pub.10.1038/ng.952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043485621
    368 https://doi.org/10.1038/ng.952
    369 rdf:type schema:CreativeWork
    370 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
    371 https://doi.org/10.1038/nmeth.f.303
    372 rdf:type schema:CreativeWork
    373 sg:pub.10.1186/ar3204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033609104
    374 https://doi.org/10.1186/ar3204
    375 rdf:type schema:CreativeWork
    376 sg:pub.10.1186/gb-2012-13-9-r79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029450096
    377 https://doi.org/10.1186/gb-2012-13-9-r79
    378 rdf:type schema:CreativeWork
    379 grid-institutes:grid.17063.33 schema:alternateName Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8 Canada
    380 Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada
    381 schema:name Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8 Canada
    382 Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, University of Toronto, Toronto, Ontario M5G 1X5 Canada
    383 rdf:type schema:Organization
    384 grid-institutes:grid.17635.36 schema:alternateName Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA
    385 Biotechnology Institute, University of Minnesota, St. Paul, Minnesota 55108 USA
    386 schema:name Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota 55455 USA
    387 Biotechnology Institute, University of Minnesota, St. Paul, Minnesota 55108 USA
    388 Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    389 Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA
    390 Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota 55455 USA
    391 rdf:type schema:Organization
    392 grid-institutes:grid.32224.35 schema:alternateName Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114 USA
    393 schema:name Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114 USA
    394 rdf:type schema:Organization
    395 grid-institutes:grid.38142.3c schema:alternateName Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115 USA
    396 Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA
    397 schema:name Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115 USA
    398 Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    399 Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA
    400 Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA
    401 rdf:type schema:Organization
    402 grid-institutes:grid.4494.d schema:alternateName Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands
    403 Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands
    404 schema:name Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, 9700RB The Netherlands
    405 Department of Genetics, University Medical Center Groningen, Groningen, 9700RB The Netherlands
    406 rdf:type schema:Organization
    407 grid-institutes:grid.66859.34 schema:alternateName Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    408 Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    409 schema:name Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    410 Department of Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 USA
    411 Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142 USA
    412 rdf:type schema:Organization
     




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


    ...