Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-05-02

AUTHORS

Ani Manichaikul, Honghuang Lin, Chansuk Kang, Chaojie Yang, Stephen S. Rich, Kent D. Taylor, Xiuqing Guo, Jerome I. Rotter, W. Craig Johnson, Elaine Cornell, Russell P. Tracy, J. Peter Durda, Yongmei Liu, Ramachandran S. Vasan, L. Adrienne Cupples, Robert E. Gerszten, Clary B. Clish, Deepti Jain, Matthew P. Conomos, Thomas Blackwell, George J. Papanicolaou, Annabelle Rodriguez

ABSTRACT

Deficiency of the immune checkpoint lymphocyte activation gene-3 (LAG3) protein is significantly associated with both elevated HDL-cholesterol (HDL-C) and myocardial infarction risk. We determined the association of genetic variants within ±500 kb of LAG3 with plasma LAG3 and defined LAG3-associated plasma proteins with HDL-C and clinical outcomes. Whole genome sequencing and plasma proteomics were obtained from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Framingham Heart Study (FHS) cohorts as part of the Trans-Omics for Precision Medicine program. In situ Hi-C chromatin capture was performed in EBV-transformed cell lines isolated from four MESA participants. Genetic association analyses were performed in MESA using multivariate regression models, with validation in FHS. A LAG3-associated protein network was tested for association with HDL-C, coronary heart disease, and all-cause mortality. We identify an association between the LAG3 rs3782735 variant and plasma LAG3 protein. Proteomics analysis reveals 183 proteins significantly associated with LAG3 with four proteins associated with HDL-C. Four proteins discovered for association with all-cause mortality in FHS shows nominal associations in MESA. Chromatin capture analysis reveals significant cis interactions between LAG3 and C1S, LRIG3, TNFRSF1A, and trans interactions between LAG3 and B2M. A LAG3-associated protein network has significant associations with HDL-C and mortality. More... »

PAGES

362

References to SciGraph publications

  • 2017-08-23. Residual Risk Factors to Predict Major Adverse Cardiovascular Events in Atherosclerotic Cardiovascular Disease Patients with and without Diabetes Mellitus in SCIENTIFIC REPORTS
  • 2015-11-05. Single-cell Hi-C for genome-wide detection of chromatin interactions that occur simultaneously in a single cell in NATURE PROTOCOLS
  • 2018-12-20. Hi-C analysis: from data generation to integration in BIOPHYSICAL REVIEWS
  • 2021-01-05. High HDL-Cholesterol Paradox: SCARB1-LAG3-HDL Axis in CURRENT ATHEROSCLEROSIS REPORTS
  • 2020-01-03. Epigenetics meets proteomics in an epigenome-wide association study with circulating blood plasma protein traits in NATURE COMMUNICATIONS
  • 2013-04-28. Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells in NATURE MEDICINE
  • 2010-04-06. Genome-wide association analysis of total cholesterol and high-density lipoprotein cholesterol levels using the Framingham Heart Study data in BMC MEDICAL GENOMICS
  • 2018-07-31. HiCcompare: an R-package for joint normalization and comparison of HI-C datasets in BMC BIOINFORMATICS
  • 2007-06-17. A new multipoint method for genome-wide association studies by imputation of genotypes in NATURE GENETICS
  • 2017-07-18. Heterogeneity in national U.S. mortality trends within heart disease subgroups, 2000–2015 in BMC CARDIOVASCULAR DISORDERS
  • 1998-06. Regulation of expression of the human lymphocyte activation gene-3 (LAG-3) molecule, a ligand for MHC class II in IMMUNOGENETICS
  • 2015-12-01. HiC-Pro: an optimized and flexible pipeline for Hi-C data processing in GENOME BIOLOGY
  • 2013-09-25. Single-cell Hi-C reveals cell-to-cell variability in chromosome structure in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s42003-022-03304-0

    DOI

    http://dx.doi.org/10.1038/s42003-022-03304-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1147539975

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35501457


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Atherosclerosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cholesterol, HDL", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromatin", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lymphocyte Activation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Membrane Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Precision Medicine", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27755.32", 
              "name": [
                "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Manichaikul", 
            "givenName": "Ani", 
            "id": "sg:person.01353341174.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353341174.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.168645.8", 
              "name": [
                "Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lin", 
            "givenName": "Honghuang", 
            "id": "sg:person.01033261006.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033261006.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27755.32", 
              "name": [
                "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kang", 
            "givenName": "Chansuk", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27755.32", 
              "name": [
                "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Chaojie", 
            "id": "sg:person.015412564001.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015412564001.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27755.32", 
              "name": [
                "Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rich", 
            "givenName": "Stephen S.", 
            "id": "sg:person.015565463537.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015565463537.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.239844.0", 
              "name": [
                "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Taylor", 
            "givenName": "Kent D.", 
            "id": "sg:person.010452447462.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010452447462.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.239844.0", 
              "name": [
                "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Xiuqing", 
            "id": "sg:person.016126404017.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016126404017.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.239844.0", 
              "name": [
                "The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rotter", 
            "givenName": "Jerome I.", 
            "id": "sg:person.012264440652.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012264440652.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Craig Johnson", 
            "givenName": "W.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vermont, Burlington, VT, USA", 
              "id": "http://www.grid.ac/institutes/grid.59062.38", 
              "name": [
                "University of Vermont, Burlington, VT, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cornell", 
            "givenName": "Elaine", 
            "id": "sg:person.01353705617.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353705617.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vermont, Burlington, VT, USA", 
              "id": "http://www.grid.ac/institutes/grid.59062.38", 
              "name": [
                "University of Vermont, Burlington, VT, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tracy", 
            "givenName": "Russell P.", 
            "id": "sg:person.011274770632.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011274770632.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vermont, Burlington, VT, USA", 
              "id": "http://www.grid.ac/institutes/grid.59062.38", 
              "name": [
                "University of Vermont, Burlington, VT, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Peter Durda", 
            "givenName": "J.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Duke University, Chapel Hill, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.26009.3d", 
              "name": [
                "Duke University, Chapel Hill, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Yongmei", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.168645.8", 
              "name": [
                "Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vasan", 
            "givenName": "Ramachandran S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.189504.1", 
              "name": [
                "Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Adrienne Cupples", 
            "givenName": "L.", 
            "id": "sg:person.01164502165.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164502165.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.239395.7", 
              "name": [
                "Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gerszten", 
            "givenName": "Robert E.", 
            "id": "sg:person.01220714655.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220714655.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Metabolite Profiling, Broad Institute, Cambridge, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.66859.34", 
              "name": [
                "Metabolite Profiling, Broad Institute, Cambridge, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Clish", 
            "givenName": "Clary B.", 
            "id": "sg:person.0764632420.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764632420.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jain", 
            "givenName": "Deepti", 
            "id": "sg:person.01306372357.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306372357.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Conomos", 
            "givenName": "Matthew P.", 
            "id": "sg:person.01210046500.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210046500.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Michigan, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "University of Michigan, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Blackwell", 
            "givenName": "Thomas", 
            "id": "sg:person.011607534361.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011607534361.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Institutes of Health, Bethesda, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.94365.3d", 
              "name": [
                "National Institutes of Health, Bethesda, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Papanicolaou", 
            "givenName": "George J.", 
            "id": "sg:person.01350656546.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350656546.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Vascular Biology, University of Connecticut Health, Farmington, CT, USA", 
              "id": "http://www.grid.ac/institutes/grid.63054.34", 
              "name": [
                "Center for Vascular Biology, University of Connecticut Health, Farmington, CT, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodriguez", 
            "givenName": "Annabelle", 
            "id": "sg:person.0705460174.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705460174.25"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11883-020-00902-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1134316902", 
              "https://doi.org/10.1007/s11883-020-00902-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002510050411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050502910", 
              "https://doi.org/10.1007/s002510050411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-019-13831-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1123784472", 
              "https://doi.org/10.1038/s41467-019-13831-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12593", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022035194", 
              "https://doi.org/10.1038/nature12593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-08741-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091267078", 
              "https://doi.org/10.1038/s41598-017-08741-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12872-017-0630-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090746804", 
              "https://doi.org/10.1186/s12872-017-0630-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3179", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053642413", 
              "https://doi.org/10.1038/nm.3179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2350-11-55", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004193628", 
              "https://doi.org/10.1186/1471-2350-11-55"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2015.127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034183992", 
              "https://doi.org/10.1038/nprot.2015.127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-015-0831-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036760229", 
              "https://doi.org/10.1186/s13059-015-0831-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-018-2288-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105932469", 
              "https://doi.org/10.1186/s12859-018-2288-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng2088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046979341", 
              "https://doi.org/10.1038/ng2088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12551-018-0489-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110810936", 
              "https://doi.org/10.1007/s12551-018-0489-1"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-05-02", 
        "datePublishedReg": "2022-05-02", 
        "description": "Deficiency of the immune checkpoint lymphocyte activation gene-3 (LAG3) protein is significantly associated with both elevated HDL-cholesterol (HDL-C) and myocardial infarction risk. We determined the association of genetic variants within \u00b1500\u2009kb of LAG3 with plasma LAG3 and defined LAG3-associated plasma proteins with HDL-C and clinical outcomes. Whole genome sequencing and plasma proteomics were obtained from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Framingham Heart Study (FHS) cohorts as part of the Trans-Omics for Precision Medicine program. In situ Hi-C chromatin capture was performed in EBV-transformed cell lines isolated from four MESA participants. Genetic association analyses were performed in MESA using multivariate regression models, with validation in FHS. A LAG3-associated protein network was tested for association with HDL-C, coronary heart disease, and all-cause mortality. We identify an association between the LAG3 rs3782735 variant and plasma LAG3 protein. Proteomics analysis reveals 183 proteins significantly associated with LAG3 with four proteins associated with HDL-C. Four proteins discovered for association with all-cause mortality in FHS shows nominal associations in MESA. Chromatin capture analysis reveals significant cis interactions between LAG3 and C1S, LRIG3, TNFRSF1A, and trans interactions between LAG3 and B2M. A LAG3-associated protein network has significant associations with HDL-C and mortality.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s42003-022-03304-0", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2696860", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3536262", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2439028", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2705248", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538913", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430183", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2705179", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2699326", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.9140274", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430184", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430187", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5245436", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2543107", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538891", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2705191", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4242064", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430180", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6376008", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538907", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430181", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430185", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430186", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5475480", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430182", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430189", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538912", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430188", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2542084", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538906", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2430190", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2538837", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2544072", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.10015615", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1300829", 
            "issn": [
              "2399-3642"
            ], 
            "name": "Communications Biology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "5"
          }
        ], 
        "keywords": [
          "protein network", 
          "Trans-Omics", 
          "Precision Medicine (TOPMed) program", 
          "gene 3 protein", 
          "whole-genome sequencing", 
          "chromatin capture", 
          "genetic association analysis", 
          "proteomic analysis", 
          "trans interactions", 
          "genome sequencing", 
          "cis interactions", 
          "association analysis", 
          "genetic variants", 
          "protein", 
          "plasma proteomics", 
          "nominal association", 
          "cell lines", 
          "lymphocyte activation gene 3 protein", 
          "capture analysis", 
          "LAG3 protein", 
          "proteomics", 
          "kb", 
          "variants", 
          "plasma proteins", 
          "LRIG3", 
          "sequencing", 
          "TNFRSF1A", 
          "interaction", 
          "association", 
          "analysis", 
          "lines", 
          "Framingham Heart Study cohort", 
          "deficiency", 
          "LAG3", 
          "C1", 
          "B2M.", 
          "HDL cholesterol", 
          "EBV", 
          "capture", 
          "significant association", 
          "myocardial infarction risk", 
          "cause mortality", 
          "disease", 
          "atherosclerosis", 
          "network", 
          "mesa", 
          "mortality", 
          "elevated HDL cholesterol", 
          "coronary heart disease", 
          "Multi-Ethnic Study", 
          "part", 
          "medicine programs", 
          "study", 
          "clinical outcomes", 
          "study cohort", 
          "MESA participants", 
          "heart disease", 
          "program", 
          "multivariate regression model", 
          "infarction risk", 
          "HDL", 
          "validation", 
          "FHS", 
          "regression models", 
          "model", 
          "cohort", 
          "outcomes", 
          "risk", 
          "participants"
        ], 
        "name": "Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program", 
        "pagination": "362", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1147539975"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s42003-022-03304-0"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "35501457"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s42003-022-03304-0", 
          "https://app.dimensions.ai/details/publication/pub.1147539975"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T16:07", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_947.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s42003-022-03304-0"
      }
    ]
     

    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.10.1038/s42003-022-03304-0'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s42003-022-03304-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42003-022-03304-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42003-022-03304-0'


     

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

    450 TRIPLES      21 PREDICATES      114 URIs      93 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s42003-022-03304-0 schema:about N158f0a4d8f454a47be1d2184199c6df2
    2 N4227970bb90942749c1ef52368db1ec7
    3 N6e61e4a721984a77b38175af54cca708
    4 N8312a8e4a4734be1b6d5de5088bb2b6f
    5 Nc06753a1a7584c8eb5bebf044efe3035
    6 Ne385befbdea745e68af751cc861d41d9
    7 Nff17b443996b4f1d8aa03f2f9739026e
    8 anzsrc-for:06
    9 anzsrc-for:0604
    10 schema:author N6a9283fdc98f46058ce1848e835b94c7
    11 schema:citation sg:pub.10.1007/s002510050411
    12 sg:pub.10.1007/s11883-020-00902-3
    13 sg:pub.10.1007/s12551-018-0489-1
    14 sg:pub.10.1038/nature12593
    15 sg:pub.10.1038/ng2088
    16 sg:pub.10.1038/nm.3179
    17 sg:pub.10.1038/nprot.2015.127
    18 sg:pub.10.1038/s41467-019-13831-w
    19 sg:pub.10.1038/s41598-017-08741-0
    20 sg:pub.10.1186/1471-2350-11-55
    21 sg:pub.10.1186/s12859-018-2288-x
    22 sg:pub.10.1186/s12872-017-0630-2
    23 sg:pub.10.1186/s13059-015-0831-x
    24 schema:datePublished 2022-05-02
    25 schema:datePublishedReg 2022-05-02
    26 schema:description Deficiency of the immune checkpoint lymphocyte activation gene-3 (LAG3) protein is significantly associated with both elevated HDL-cholesterol (HDL-C) and myocardial infarction risk. We determined the association of genetic variants within ±500 kb of LAG3 with plasma LAG3 and defined LAG3-associated plasma proteins with HDL-C and clinical outcomes. Whole genome sequencing and plasma proteomics were obtained from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Framingham Heart Study (FHS) cohorts as part of the Trans-Omics for Precision Medicine program. In situ Hi-C chromatin capture was performed in EBV-transformed cell lines isolated from four MESA participants. Genetic association analyses were performed in MESA using multivariate regression models, with validation in FHS. A LAG3-associated protein network was tested for association with HDL-C, coronary heart disease, and all-cause mortality. We identify an association between the LAG3 rs3782735 variant and plasma LAG3 protein. Proteomics analysis reveals 183 proteins significantly associated with LAG3 with four proteins associated with HDL-C. Four proteins discovered for association with all-cause mortality in FHS shows nominal associations in MESA. Chromatin capture analysis reveals significant cis interactions between LAG3 and C1S, LRIG3, TNFRSF1A, and trans interactions between LAG3 and B2M. A LAG3-associated protein network has significant associations with HDL-C and mortality.
    27 schema:genre article
    28 schema:isAccessibleForFree true
    29 schema:isPartOf N18232447c8d44c2ba0bf0f8e01bc6dae
    30 N7c95abd4c5dd4a668660f278de22a3bb
    31 sg:journal.1300829
    32 schema:keywords B2M.
    33 C1
    34 EBV
    35 FHS
    36 Framingham Heart Study cohort
    37 HDL
    38 HDL cholesterol
    39 LAG3
    40 LAG3 protein
    41 LRIG3
    42 MESA participants
    43 Multi-Ethnic Study
    44 Precision Medicine (TOPMed) program
    45 TNFRSF1A
    46 Trans-Omics
    47 analysis
    48 association
    49 association analysis
    50 atherosclerosis
    51 capture
    52 capture analysis
    53 cause mortality
    54 cell lines
    55 chromatin capture
    56 cis interactions
    57 clinical outcomes
    58 cohort
    59 coronary heart disease
    60 deficiency
    61 disease
    62 elevated HDL cholesterol
    63 gene 3 protein
    64 genetic association analysis
    65 genetic variants
    66 genome sequencing
    67 heart disease
    68 infarction risk
    69 interaction
    70 kb
    71 lines
    72 lymphocyte activation gene 3 protein
    73 medicine programs
    74 mesa
    75 model
    76 mortality
    77 multivariate regression model
    78 myocardial infarction risk
    79 network
    80 nominal association
    81 outcomes
    82 part
    83 participants
    84 plasma proteins
    85 plasma proteomics
    86 program
    87 protein
    88 protein network
    89 proteomic analysis
    90 proteomics
    91 regression models
    92 risk
    93 sequencing
    94 significant association
    95 study
    96 study cohort
    97 trans interactions
    98 validation
    99 variants
    100 whole-genome sequencing
    101 schema:name Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program
    102 schema:pagination 362
    103 schema:productId N0f7ca794765c4b78a507d96a9e1a75d6
    104 N20fde7fadd3e47e09a8001d2aa6d3fc4
    105 N87895010e8344a59b75d96c9dbaf45fd
    106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147539975
    107 https://doi.org/10.1038/s42003-022-03304-0
    108 schema:sdDatePublished 2022-09-02T16:07
    109 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    110 schema:sdPublisher Nafb4e9d1c37a4f07b88fcf3cd0ec1108
    111 schema:url https://doi.org/10.1038/s42003-022-03304-0
    112 sgo:license sg:explorer/license/
    113 sgo:sdDataset articles
    114 rdf:type schema:ScholarlyArticle
    115 N0173d82feb644405a7cb730720f16dfe rdf:first N308b098e519d4a5cacc24f536b2c27a6
    116 rdf:rest N6696da7c3de042f1b0893c929c663779
    117 N0265a3d29fe5495c91ec383128e02b8f rdf:first sg:person.011274770632.07
    118 rdf:rest N34d14e7563124ae797597c6aa0c11585
    119 N08e97275f7bf46c9a8431f07121a3485 rdf:first sg:person.01210046500.50
    120 rdf:rest N5510972401914276a8431b0bfead9220
    121 N0c00c8e1596c43b19a2abaf59421da21 rdf:first sg:person.0705460174.25
    122 rdf:rest rdf:nil
    123 N0f7ca794765c4b78a507d96a9e1a75d6 schema:name dimensions_id
    124 schema:value pub.1147539975
    125 rdf:type schema:PropertyValue
    126 N153525337ff64ae29ea2311afc90da4a rdf:first sg:person.0764632420.16
    127 rdf:rest Nd6e88d20ab374c0aad17dc6c9f8e525b
    128 N158f0a4d8f454a47be1d2184199c6df2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Atherosclerosis
    130 rdf:type schema:DefinedTerm
    131 N18232447c8d44c2ba0bf0f8e01bc6dae schema:issueNumber 1
    132 rdf:type schema:PublicationIssue
    133 N20fde7fadd3e47e09a8001d2aa6d3fc4 schema:name doi
    134 schema:value 10.1038/s42003-022-03304-0
    135 rdf:type schema:PropertyValue
    136 N225dc4903ce34855b65343555562d31f rdf:first sg:person.012264440652.05
    137 rdf:rest N2535e0aa006c49a5ae85f7f716ea6120
    138 N2535e0aa006c49a5ae85f7f716ea6120 rdf:first N9b876e23745d44288ec643d5d92b9142
    139 rdf:rest Nfca124d9dd92467c807c9bc09108d4fb
    140 N283c6501e67a4ff59e9c7ee0587d5159 schema:affiliation grid-institutes:grid.59062.38
    141 schema:familyName Peter Durda
    142 schema:givenName J.
    143 rdf:type schema:Person
    144 N308b098e519d4a5cacc24f536b2c27a6 schema:affiliation grid-institutes:grid.27755.32
    145 schema:familyName Kang
    146 schema:givenName Chansuk
    147 rdf:type schema:Person
    148 N3448f6932bfe4ee0a4203e409d818b59 rdf:first sg:person.015565463537.09
    149 rdf:rest N4c9daaa11fd84c0ea9fe83eb6ef8bdf4
    150 N34d14e7563124ae797597c6aa0c11585 rdf:first N283c6501e67a4ff59e9c7ee0587d5159
    151 rdf:rest N72bb6ddc5c094559b1c1abe20984a549
    152 N4227970bb90942749c1ef52368db1ec7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Membrane Proteins
    154 rdf:type schema:DefinedTerm
    155 N4c9daaa11fd84c0ea9fe83eb6ef8bdf4 rdf:first sg:person.010452447462.48
    156 rdf:rest N56dff4686a6f43879353be4414d87aa1
    157 N4fcbe6b1880b42b3883fac70cb9a4383 schema:affiliation grid-institutes:grid.26009.3d
    158 schema:familyName Liu
    159 schema:givenName Yongmei
    160 rdf:type schema:Person
    161 N5510972401914276a8431b0bfead9220 rdf:first sg:person.011607534361.92
    162 rdf:rest N6942bca8e3974acd8fa50650473fc956
    163 N56dff4686a6f43879353be4414d87aa1 rdf:first sg:person.016126404017.45
    164 rdf:rest N225dc4903ce34855b65343555562d31f
    165 N65352240f6df4a9ca598db20e6473ff0 rdf:first sg:person.01033261006.89
    166 rdf:rest N0173d82feb644405a7cb730720f16dfe
    167 N6696da7c3de042f1b0893c929c663779 rdf:first sg:person.015412564001.46
    168 rdf:rest N3448f6932bfe4ee0a4203e409d818b59
    169 N6942bca8e3974acd8fa50650473fc956 rdf:first sg:person.01350656546.98
    170 rdf:rest N0c00c8e1596c43b19a2abaf59421da21
    171 N6a9283fdc98f46058ce1848e835b94c7 rdf:first sg:person.01353341174.06
    172 rdf:rest N65352240f6df4a9ca598db20e6473ff0
    173 N6e61e4a721984a77b38175af54cca708 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Humans
    175 rdf:type schema:DefinedTerm
    176 N72bb6ddc5c094559b1c1abe20984a549 rdf:first N4fcbe6b1880b42b3883fac70cb9a4383
    177 rdf:rest Nf14594f8344e43f08f0f8ad84c916d80
    178 N72db5ca95a7a435ba49e2575918d5a9e rdf:first sg:person.01220714655.16
    179 rdf:rest N153525337ff64ae29ea2311afc90da4a
    180 N77cbee275b3641719997df000f522f7c schema:affiliation grid-institutes:grid.168645.8
    181 schema:familyName Vasan
    182 schema:givenName Ramachandran S.
    183 rdf:type schema:Person
    184 N7c95abd4c5dd4a668660f278de22a3bb schema:volumeNumber 5
    185 rdf:type schema:PublicationVolume
    186 N8312a8e4a4734be1b6d5de5088bb2b6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Cholesterol, HDL
    188 rdf:type schema:DefinedTerm
    189 N8630fa1d07ef4197bd7d8c6f6a87a137 rdf:first sg:person.01164502165.19
    190 rdf:rest N72db5ca95a7a435ba49e2575918d5a9e
    191 N87895010e8344a59b75d96c9dbaf45fd schema:name pubmed_id
    192 schema:value 35501457
    193 rdf:type schema:PropertyValue
    194 N9b876e23745d44288ec643d5d92b9142 schema:affiliation grid-institutes:grid.34477.33
    195 schema:familyName Craig Johnson
    196 schema:givenName W.
    197 rdf:type schema:Person
    198 Nafb4e9d1c37a4f07b88fcf3cd0ec1108 schema:name Springer Nature - SN SciGraph project
    199 rdf:type schema:Organization
    200 Nc06753a1a7584c8eb5bebf044efe3035 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    201 schema:name Chromatin
    202 rdf:type schema:DefinedTerm
    203 Nd6e88d20ab374c0aad17dc6c9f8e525b rdf:first sg:person.01306372357.30
    204 rdf:rest N08e97275f7bf46c9a8431f07121a3485
    205 Ne385befbdea745e68af751cc861d41d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    206 schema:name Lymphocyte Activation
    207 rdf:type schema:DefinedTerm
    208 Nf14594f8344e43f08f0f8ad84c916d80 rdf:first N77cbee275b3641719997df000f522f7c
    209 rdf:rest N8630fa1d07ef4197bd7d8c6f6a87a137
    210 Nfca124d9dd92467c807c9bc09108d4fb rdf:first sg:person.01353705617.21
    211 rdf:rest N0265a3d29fe5495c91ec383128e02b8f
    212 Nff17b443996b4f1d8aa03f2f9739026e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    213 schema:name Precision Medicine
    214 rdf:type schema:DefinedTerm
    215 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    216 schema:name Biological Sciences
    217 rdf:type schema:DefinedTerm
    218 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    219 schema:name Genetics
    220 rdf:type schema:DefinedTerm
    221 sg:grant.10015615 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    222 rdf:type schema:MonetaryGrant
    223 sg:grant.2430180 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    224 rdf:type schema:MonetaryGrant
    225 sg:grant.2430181 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    226 rdf:type schema:MonetaryGrant
    227 sg:grant.2430182 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    228 rdf:type schema:MonetaryGrant
    229 sg:grant.2430183 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    230 rdf:type schema:MonetaryGrant
    231 sg:grant.2430184 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    232 rdf:type schema:MonetaryGrant
    233 sg:grant.2430185 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    234 rdf:type schema:MonetaryGrant
    235 sg:grant.2430186 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    236 rdf:type schema:MonetaryGrant
    237 sg:grant.2430187 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    238 rdf:type schema:MonetaryGrant
    239 sg:grant.2430188 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    240 rdf:type schema:MonetaryGrant
    241 sg:grant.2430189 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    242 rdf:type schema:MonetaryGrant
    243 sg:grant.2430190 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    244 rdf:type schema:MonetaryGrant
    245 sg:grant.2439028 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    246 rdf:type schema:MonetaryGrant
    247 sg:grant.2538837 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    248 rdf:type schema:MonetaryGrant
    249 sg:grant.2538891 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    250 rdf:type schema:MonetaryGrant
    251 sg:grant.2538906 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    252 rdf:type schema:MonetaryGrant
    253 sg:grant.2538907 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    254 rdf:type schema:MonetaryGrant
    255 sg:grant.2538912 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    256 rdf:type schema:MonetaryGrant
    257 sg:grant.2538913 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    258 rdf:type schema:MonetaryGrant
    259 sg:grant.2542084 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    260 rdf:type schema:MonetaryGrant
    261 sg:grant.2543107 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    262 rdf:type schema:MonetaryGrant
    263 sg:grant.2544072 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    264 rdf:type schema:MonetaryGrant
    265 sg:grant.2696860 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    266 rdf:type schema:MonetaryGrant
    267 sg:grant.2699326 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    268 rdf:type schema:MonetaryGrant
    269 sg:grant.2705179 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    270 rdf:type schema:MonetaryGrant
    271 sg:grant.2705191 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    272 rdf:type schema:MonetaryGrant
    273 sg:grant.2705248 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    274 rdf:type schema:MonetaryGrant
    275 sg:grant.3536262 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    276 rdf:type schema:MonetaryGrant
    277 sg:grant.4242064 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    278 rdf:type schema:MonetaryGrant
    279 sg:grant.5245436 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    280 rdf:type schema:MonetaryGrant
    281 sg:grant.5475480 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    282 rdf:type schema:MonetaryGrant
    283 sg:grant.6376008 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    284 rdf:type schema:MonetaryGrant
    285 sg:grant.9140274 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-022-03304-0
    286 rdf:type schema:MonetaryGrant
    287 sg:journal.1300829 schema:issn 2399-3642
    288 schema:name Communications Biology
    289 schema:publisher Springer Nature
    290 rdf:type schema:Periodical
    291 sg:person.01033261006.89 schema:affiliation grid-institutes:grid.168645.8
    292 schema:familyName Lin
    293 schema:givenName Honghuang
    294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033261006.89
    295 rdf:type schema:Person
    296 sg:person.010452447462.48 schema:affiliation grid-institutes:grid.239844.0
    297 schema:familyName Taylor
    298 schema:givenName Kent D.
    299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010452447462.48
    300 rdf:type schema:Person
    301 sg:person.011274770632.07 schema:affiliation grid-institutes:grid.59062.38
    302 schema:familyName Tracy
    303 schema:givenName Russell P.
    304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011274770632.07
    305 rdf:type schema:Person
    306 sg:person.011607534361.92 schema:affiliation grid-institutes:grid.214458.e
    307 schema:familyName Blackwell
    308 schema:givenName Thomas
    309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011607534361.92
    310 rdf:type schema:Person
    311 sg:person.01164502165.19 schema:affiliation grid-institutes:grid.189504.1
    312 schema:familyName Adrienne Cupples
    313 schema:givenName L.
    314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164502165.19
    315 rdf:type schema:Person
    316 sg:person.01210046500.50 schema:affiliation grid-institutes:grid.34477.33
    317 schema:familyName Conomos
    318 schema:givenName Matthew P.
    319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210046500.50
    320 rdf:type schema:Person
    321 sg:person.01220714655.16 schema:affiliation grid-institutes:grid.239395.7
    322 schema:familyName Gerszten
    323 schema:givenName Robert E.
    324 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220714655.16
    325 rdf:type schema:Person
    326 sg:person.012264440652.05 schema:affiliation grid-institutes:grid.239844.0
    327 schema:familyName Rotter
    328 schema:givenName Jerome I.
    329 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012264440652.05
    330 rdf:type schema:Person
    331 sg:person.01306372357.30 schema:affiliation grid-institutes:grid.34477.33
    332 schema:familyName Jain
    333 schema:givenName Deepti
    334 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306372357.30
    335 rdf:type schema:Person
    336 sg:person.01350656546.98 schema:affiliation grid-institutes:grid.94365.3d
    337 schema:familyName Papanicolaou
    338 schema:givenName George J.
    339 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350656546.98
    340 rdf:type schema:Person
    341 sg:person.01353341174.06 schema:affiliation grid-institutes:grid.27755.32
    342 schema:familyName Manichaikul
    343 schema:givenName Ani
    344 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353341174.06
    345 rdf:type schema:Person
    346 sg:person.01353705617.21 schema:affiliation grid-institutes:grid.59062.38
    347 schema:familyName Cornell
    348 schema:givenName Elaine
    349 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353705617.21
    350 rdf:type schema:Person
    351 sg:person.015412564001.46 schema:affiliation grid-institutes:grid.27755.32
    352 schema:familyName Yang
    353 schema:givenName Chaojie
    354 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015412564001.46
    355 rdf:type schema:Person
    356 sg:person.015565463537.09 schema:affiliation grid-institutes:grid.27755.32
    357 schema:familyName Rich
    358 schema:givenName Stephen S.
    359 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015565463537.09
    360 rdf:type schema:Person
    361 sg:person.016126404017.45 schema:affiliation grid-institutes:grid.239844.0
    362 schema:familyName Guo
    363 schema:givenName Xiuqing
    364 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016126404017.45
    365 rdf:type schema:Person
    366 sg:person.0705460174.25 schema:affiliation grid-institutes:grid.63054.34
    367 schema:familyName Rodriguez
    368 schema:givenName Annabelle
    369 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705460174.25
    370 rdf:type schema:Person
    371 sg:person.0764632420.16 schema:affiliation grid-institutes:grid.66859.34
    372 schema:familyName Clish
    373 schema:givenName Clary B.
    374 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764632420.16
    375 rdf:type schema:Person
    376 sg:pub.10.1007/s002510050411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050502910
    377 https://doi.org/10.1007/s002510050411
    378 rdf:type schema:CreativeWork
    379 sg:pub.10.1007/s11883-020-00902-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134316902
    380 https://doi.org/10.1007/s11883-020-00902-3
    381 rdf:type schema:CreativeWork
    382 sg:pub.10.1007/s12551-018-0489-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110810936
    383 https://doi.org/10.1007/s12551-018-0489-1
    384 rdf:type schema:CreativeWork
    385 sg:pub.10.1038/nature12593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022035194
    386 https://doi.org/10.1038/nature12593
    387 rdf:type schema:CreativeWork
    388 sg:pub.10.1038/ng2088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046979341
    389 https://doi.org/10.1038/ng2088
    390 rdf:type schema:CreativeWork
    391 sg:pub.10.1038/nm.3179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053642413
    392 https://doi.org/10.1038/nm.3179
    393 rdf:type schema:CreativeWork
    394 sg:pub.10.1038/nprot.2015.127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034183992
    395 https://doi.org/10.1038/nprot.2015.127
    396 rdf:type schema:CreativeWork
    397 sg:pub.10.1038/s41467-019-13831-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1123784472
    398 https://doi.org/10.1038/s41467-019-13831-w
    399 rdf:type schema:CreativeWork
    400 sg:pub.10.1038/s41598-017-08741-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091267078
    401 https://doi.org/10.1038/s41598-017-08741-0
    402 rdf:type schema:CreativeWork
    403 sg:pub.10.1186/1471-2350-11-55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004193628
    404 https://doi.org/10.1186/1471-2350-11-55
    405 rdf:type schema:CreativeWork
    406 sg:pub.10.1186/s12859-018-2288-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1105932469
    407 https://doi.org/10.1186/s12859-018-2288-x
    408 rdf:type schema:CreativeWork
    409 sg:pub.10.1186/s12872-017-0630-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090746804
    410 https://doi.org/10.1186/s12872-017-0630-2
    411 rdf:type schema:CreativeWork
    412 sg:pub.10.1186/s13059-015-0831-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036760229
    413 https://doi.org/10.1186/s13059-015-0831-x
    414 rdf:type schema:CreativeWork
    415 grid-institutes:grid.168645.8 schema:alternateName Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
    416 schema:name Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
    417 rdf:type schema:Organization
    418 grid-institutes:grid.189504.1 schema:alternateName Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
    419 schema:name Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
    420 rdf:type schema:Organization
    421 grid-institutes:grid.214458.e schema:alternateName University of Michigan, Ann Arbor, MI, USA
    422 schema:name University of Michigan, Ann Arbor, MI, USA
    423 rdf:type schema:Organization
    424 grid-institutes:grid.239395.7 schema:alternateName Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
    425 schema:name Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
    426 rdf:type schema:Organization
    427 grid-institutes:grid.239844.0 schema:alternateName The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
    428 schema:name The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
    429 rdf:type schema:Organization
    430 grid-institutes:grid.26009.3d schema:alternateName Duke University, Chapel Hill, NC, USA
    431 schema:name Duke University, Chapel Hill, NC, USA
    432 rdf:type schema:Organization
    433 grid-institutes:grid.27755.32 schema:alternateName Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA
    434 schema:name Center for Public Heath Genomics, University of Virginia, Charlottesville, VA, USA
    435 rdf:type schema:Organization
    436 grid-institutes:grid.34477.33 schema:alternateName University of Washington, Seattle, WA, USA
    437 schema:name University of Washington, Seattle, WA, USA
    438 rdf:type schema:Organization
    439 grid-institutes:grid.59062.38 schema:alternateName University of Vermont, Burlington, VT, USA
    440 schema:name University of Vermont, Burlington, VT, USA
    441 rdf:type schema:Organization
    442 grid-institutes:grid.63054.34 schema:alternateName Center for Vascular Biology, University of Connecticut Health, Farmington, CT, USA
    443 schema:name Center for Vascular Biology, University of Connecticut Health, Farmington, CT, USA
    444 rdf:type schema:Organization
    445 grid-institutes:grid.66859.34 schema:alternateName Metabolite Profiling, Broad Institute, Cambridge, MA, USA
    446 schema:name Metabolite Profiling, Broad Institute, Cambridge, MA, USA
    447 rdf:type schema:Organization
    448 grid-institutes:grid.94365.3d schema:alternateName National Institutes of Health, Bethesda, MD, USA
    449 schema:name National Institutes of Health, Bethesda, MD, USA
    450 rdf:type schema:Organization
     




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


    ...