Dietary fatty acid intake is associated with paraoxonase 1 activity in a cohort-based analysis of 1,548 subjects View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Daniel Seung Kim, Sean K Maden, Amber A Burt, Jane E Ranchalis, Clement E Furlong, Gail P Jarvik

ABSTRACT

BACKGROUND: Paraoxonase 1 (PON1) is a cardioprotective, HDL-associated glycoprotein enzyme with broad substrate specificity. Our previous work found associations between dietary cholesterol and vitamin C with PON1 activity. The goal of this study was to determine the effect of specific dietary fatty acid (DFA) intake on PON1 activity. METHODS: 1,548 participants with paraoxonase activity measures completed the Harvard Standardized Food Frequency Questionnaire to determine their daily nutrient intake over the past year. Eight saturated, 3 monounsaturated, and 6 polyunsaturated DFAs were measured by the questionnaire. To reduce the number of observations tested, only specific fatty acids that were not highly correlated (r < 0.8) with other DFAs or that were representative of other DFAs through high correlation within each respective group (saturated, monounsaturated, or polyunsaturated) were retained for analysis. Six specific DFA intakes - myristic acid (14 carbon atoms, no double bonds - 14:0), oleic acid (18:1), gadoleic acid (20:1), α-linolenic acid (18:3), arachidonic acid (20:4), and eicosapentaenoic acid (20:5) - were carried forward to stepwise linear regression, which evaluated the effect of each specific DFA on covariate-adjusted PON1 enzyme activity. RESULTS: Four of the 6 tested DFA intakes - myristic acid (p = 0.038), gadoleic acid (p = 6.68 × 10(-7)), arachidonic acid (p = 0.0007), and eicosapentaenoic acid (p = 0.013) - were independently associated with covariate-adjusted PON1 enzyme activity. Myristic acid, a saturated fat, and gadoleic acid, a monounsaturated fat, were both positively associated with PON1 activity. Both of the tested polyunsaturated fats, arachidonic acid and eicosapentaenoic acid, were negatively associated with PON1 activity. CONCLUSIONS: This study presents the largest cohort-based analysis of the relationship between dietary lipids and PON1 enzyme activity. Further research is necessary to elucidate and understand the specific biological mechanisms, whether direct or regulatory, through which DFAs affect PON1 activity. More... »

PAGES

183

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1476-511x-12-183

DOI

http://dx.doi.org/10.1186/1476-511x-12-183

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008726740

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24330840


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aryldialkylphosphatase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carotid Artery Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol, Dietary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Energy Intake", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Acids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Acids, Monounsaturated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Acids, Unsaturated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Linear Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA", 
            "Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Daniel Seung", 
        "id": "sg:person.01232513350.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232513350.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maden", 
        "givenName": "Sean K", 
        "id": "sg:person.010031033553.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010031033553.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burt", 
        "givenName": "Amber A", 
        "id": "sg:person.01231762344.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231762344.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ranchalis", 
        "givenName": "Jane E", 
        "id": "sg:person.0100137647.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0100137647.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA", 
            "Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Furlong", 
        "givenName": "Clement E", 
        "id": "sg:person.0726550152.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726550152.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA", 
            "Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jarvik", 
        "givenName": "Gail P", 
        "id": "sg:person.01201446563.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201446563.23"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0021-9150(93)90183-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003115923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2012/476316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004042305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/154.12.1107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005449237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbagen.2008.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008119214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m400144-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010147930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.20.11.2441", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010192206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bcp.2010.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011429088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/meta.2002.36305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015976582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/meta.2002.36305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015976582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0041-008x(90)90263-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018112805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-5793(91)80962-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018308152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1196-334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019374054", 
          "https://doi.org/10.1038/ng1196-334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1107579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021736323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9150(99)00379-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026533233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-2999(01)01482-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026570093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0805865105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027530386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.p035238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027695381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/pgs.13.147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029393460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejcn.1601250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030201545", 
          "https://doi.org/10.1038/sj.ejcn.1601250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejcn.1601250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030201545", 
          "https://doi.org/10.1038/sj.ejcn.1601250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000081635.96290.d3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031347398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000081635.96290.d3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031347398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m400511-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033451503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj20030663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033994340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj20030663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033994340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.taap.2008.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034723104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.108.811638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035366348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.108.811638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035366348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.p033266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035940050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.freeradbiomed.2008.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036482492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)60312-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037067972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00210-003-0833-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040664135", 
          "https://doi.org/10.1007/s00210-003-0833-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000027101.40323.3a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043448029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.freeradbiomed.2010.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044789017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000038493.65177.94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049418474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.p030601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049465879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050402786", 
          "https://doi.org/10.1038/nature09270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050402786", 
          "https://doi.org/10.1038/nature09270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.femsle.2005.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050469934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.20.2.516", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051465543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajplung.00370.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053368668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00106a010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055161106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/320600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058623175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200102000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200102000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200102000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200305000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.fpc.0000054086.48725.90", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.fpc.0000054086.48725.90", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/130.10.2427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074707600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a116302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076955521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a116211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077150582"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Paraoxonase 1 (PON1) is a cardioprotective, HDL-associated glycoprotein enzyme with broad substrate specificity. Our previous work found associations between dietary cholesterol and vitamin C with PON1 activity. The goal of this study was to determine the effect of specific dietary fatty acid (DFA) intake on PON1 activity.\nMETHODS: 1,548 participants with paraoxonase activity measures completed the Harvard Standardized Food Frequency Questionnaire to determine their daily nutrient intake over the past year. Eight saturated, 3 monounsaturated, and 6 polyunsaturated DFAs were measured by the questionnaire. To reduce the number of observations tested, only specific fatty acids that were not highly correlated (r < 0.8) with other DFAs or that were representative of other DFAs through high correlation within each respective group (saturated, monounsaturated, or polyunsaturated) were retained for analysis. Six specific DFA intakes - myristic acid (14 carbon atoms, no double bonds - 14:0), oleic acid (18:1), gadoleic acid (20:1), \u03b1-linolenic acid (18:3), arachidonic acid (20:4), and eicosapentaenoic acid (20:5) - were carried forward to stepwise linear regression, which evaluated the effect of each specific DFA on covariate-adjusted PON1 enzyme activity.\nRESULTS: Four of the 6 tested DFA intakes - myristic acid (p = 0.038), gadoleic acid (p = 6.68 \u00d7 10(-7)), arachidonic acid (p = 0.0007), and eicosapentaenoic acid (p = 0.013) - were independently associated with covariate-adjusted PON1 enzyme activity. Myristic acid, a saturated fat, and gadoleic acid, a monounsaturated fat, were both positively associated with PON1 activity. Both of the tested polyunsaturated fats, arachidonic acid and eicosapentaenoic acid, were negatively associated with PON1 activity.\nCONCLUSIONS: This study presents the largest cohort-based analysis of the relationship between dietary lipids and PON1 enzyme activity. Further research is necessary to elucidate and understand the specific biological mechanisms, whether direct or regulatory, through which DFAs affect PON1 activity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1476-511x-12-183", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3493292", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2684527", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2538042", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031029", 
        "issn": [
          "1476-511X"
        ], 
        "name": "Lipids in Health and Disease", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Dietary fatty acid intake is associated with paraoxonase 1 activity in a cohort-based analysis of 1,548 subjects", 
    "pagination": "183", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2993bf1cb56754d2ab0c0b7d56a617b0192fa1bc13a4de7df019f8ffe46fcee6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24330840"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147696"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1476-511x-12-183"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008726740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1476-511x-12-183", 
      "https://app.dimensions.ai/details/publication/pub.1008726740"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:51", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1476-511X-12-183"
  }
]
 

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.10.1186/1476-511x-12-183'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1476-511x-12-183'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1476-511x-12-183'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1476-511x-12-183'


 

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

325 TRIPLES      21 PREDICATES      91 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1476-511x-12-183 schema:about N0a8e0ca716f0451a8775a3cc02836fef
2 N16941623282a45eeb249da0f504e0536
3 N33fb193ed2dc432b87e2f6aef038eaf2
4 N3f292be4f1984584ba560d55958a2258
5 N41c74fee85f24095bcbb4bb4673443e4
6 N53d10a0d7a384a10afe5c3ec837cb5c3
7 N5ac947a534f342349cd3c77f7a68ccef
8 N5e6a8bdd8955431eb24ff9fa8fbe8f60
9 N5f6b5355a85e4dcf8471cc141d0ae9c6
10 N70bd5c0cb39944e9a5eafbc4313a1479
11 N8b9cdf25cf074231a897ba045e199fa1
12 N988a43b16556422db9b0de75fe921de8
13 N99dcfa91269e402981f58cec7bcebc4d
14 N9ab9c830d3e4476b9215a613c8ede6bd
15 Na2c9b9e4b68f4ac5857f5772e167cca7
16 Nd056bbab350f404c89f4f30d189a864b
17 Ne2c9a1e818164bff90b5d030dde4ac83
18 Nee27742b5998478ba2f85fc5d514b1a0
19 Nf3964182d5d8486e9120c4f524dfd4cf
20 anzsrc-for:06
21 anzsrc-for:0601
22 schema:author N99e253319b8243699640b72fae687e0a
23 schema:citation sg:pub.10.1007/s00210-003-0833-1
24 sg:pub.10.1038/nature09270
25 sg:pub.10.1038/ng1196-334
26 sg:pub.10.1038/sj.ejcn.1601250
27 https://doi.org/10.1016/0014-5793(91)80962-3
28 https://doi.org/10.1016/0021-9150(93)90183-u
29 https://doi.org/10.1016/0041-008x(90)90263-t
30 https://doi.org/10.1016/j.bbagen.2008.11.009
31 https://doi.org/10.1016/j.bcp.2010.11.008
32 https://doi.org/10.1016/j.femsle.2005.09.023
33 https://doi.org/10.1016/j.freeradbiomed.2008.03.023
34 https://doi.org/10.1016/j.freeradbiomed.2010.09.002
35 https://doi.org/10.1016/j.taap.2008.11.001
36 https://doi.org/10.1016/s0014-2999(01)01482-0
37 https://doi.org/10.1016/s0021-9150(99)00379-2
38 https://doi.org/10.1016/s0140-6736(12)60312-2
39 https://doi.org/10.1021/bi00106a010
40 https://doi.org/10.1042/bj20030663
41 https://doi.org/10.1053/meta.2002.36305
42 https://doi.org/10.1056/nejmoa1107579
43 https://doi.org/10.1073/pnas.0805865105
44 https://doi.org/10.1086/320600
45 https://doi.org/10.1093/aje/154.12.1107
46 https://doi.org/10.1093/jn/130.10.2427
47 https://doi.org/10.1093/oxfordjournals.aje.a116211
48 https://doi.org/10.1093/oxfordjournals.aje.a116302
49 https://doi.org/10.1097/00008571-200102000-00009
50 https://doi.org/10.1097/00008571-200305000-00009
51 https://doi.org/10.1097/01.fpc.0000054086.48725.90
52 https://doi.org/10.1152/ajplung.00370.2006
53 https://doi.org/10.1155/2012/476316
54 https://doi.org/10.1161/01.atv.0000027101.40323.3a
55 https://doi.org/10.1161/01.atv.0000081635.96290.d3
56 https://doi.org/10.1161/01.atv.20.11.2441
57 https://doi.org/10.1161/01.atv.20.2.516
58 https://doi.org/10.1161/01.cir.0000038493.65177.94
59 https://doi.org/10.1161/circgenetics.108.811638
60 https://doi.org/10.1194/jlr.m400144-jlr200
61 https://doi.org/10.1194/jlr.m400511-jlr200
62 https://doi.org/10.1194/jlr.p030601
63 https://doi.org/10.1194/jlr.p033266
64 https://doi.org/10.1194/jlr.p035238
65 https://doi.org/10.2217/pgs.13.147
66 schema:datePublished 2013-12
67 schema:datePublishedReg 2013-12-01
68 schema:description BACKGROUND: Paraoxonase 1 (PON1) is a cardioprotective, HDL-associated glycoprotein enzyme with broad substrate specificity. Our previous work found associations between dietary cholesterol and vitamin C with PON1 activity. The goal of this study was to determine the effect of specific dietary fatty acid (DFA) intake on PON1 activity. METHODS: 1,548 participants with paraoxonase activity measures completed the Harvard Standardized Food Frequency Questionnaire to determine their daily nutrient intake over the past year. Eight saturated, 3 monounsaturated, and 6 polyunsaturated DFAs were measured by the questionnaire. To reduce the number of observations tested, only specific fatty acids that were not highly correlated (r < 0.8) with other DFAs or that were representative of other DFAs through high correlation within each respective group (saturated, monounsaturated, or polyunsaturated) were retained for analysis. Six specific DFA intakes - myristic acid (14 carbon atoms, no double bonds - 14:0), oleic acid (18:1), gadoleic acid (20:1), α-linolenic acid (18:3), arachidonic acid (20:4), and eicosapentaenoic acid (20:5) - were carried forward to stepwise linear regression, which evaluated the effect of each specific DFA on covariate-adjusted PON1 enzyme activity. RESULTS: Four of the 6 tested DFA intakes - myristic acid (p = 0.038), gadoleic acid (p = 6.68 × 10(-7)), arachidonic acid (p = 0.0007), and eicosapentaenoic acid (p = 0.013) - were independently associated with covariate-adjusted PON1 enzyme activity. Myristic acid, a saturated fat, and gadoleic acid, a monounsaturated fat, were both positively associated with PON1 activity. Both of the tested polyunsaturated fats, arachidonic acid and eicosapentaenoic acid, were negatively associated with PON1 activity. CONCLUSIONS: This study presents the largest cohort-based analysis of the relationship between dietary lipids and PON1 enzyme activity. Further research is necessary to elucidate and understand the specific biological mechanisms, whether direct or regulatory, through which DFAs affect PON1 activity.
69 schema:genre research_article
70 schema:inLanguage en
71 schema:isAccessibleForFree true
72 schema:isPartOf N16bfa2eb819f4a80ae51d2b2bac974e6
73 Nb12f57952dbe412783da4275f283484f
74 sg:journal.1031029
75 schema:name Dietary fatty acid intake is associated with paraoxonase 1 activity in a cohort-based analysis of 1,548 subjects
76 schema:pagination 183
77 schema:productId N03e9f212d4de4483970a799edf955ad6
78 N05c2d5b7324243b4b939fa722d151618
79 N5d0d7f5d9e744b7d87d5a982207fa178
80 N9179a674cd78478b98977a5cfbdda140
81 Ncda8b37146fd47a5b9564371ab38ee11
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008726740
83 https://doi.org/10.1186/1476-511x-12-183
84 schema:sdDatePublished 2019-04-10T15:51
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher N97c3759e58244f9da6a5bb658378a0e2
87 schema:url http://link.springer.com/10.1186%2F1476-511X-12-183
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N03e9f212d4de4483970a799edf955ad6 schema:name readcube_id
92 schema:value 2993bf1cb56754d2ab0c0b7d56a617b0192fa1bc13a4de7df019f8ffe46fcee6
93 rdf:type schema:PropertyValue
94 N05c2d5b7324243b4b939fa722d151618 schema:name doi
95 schema:value 10.1186/1476-511x-12-183
96 rdf:type schema:PropertyValue
97 N0a8e0ca716f0451a8775a3cc02836fef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Mutation
99 rdf:type schema:DefinedTerm
100 N16941623282a45eeb249da0f504e0536 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Sex Factors
102 rdf:type schema:DefinedTerm
103 N16bfa2eb819f4a80ae51d2b2bac974e6 schema:issueNumber 1
104 rdf:type schema:PublicationIssue
105 N170b7c799a6d4c28b4816471a6566532 schema:name Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA
106 rdf:type schema:Organization
107 N18902da9969b4140b4413a9175e99f2c rdf:first sg:person.010031033553.50
108 rdf:rest Nd2d06c371de64258af42381e2366e7bf
109 N33fb193ed2dc432b87e2f6aef038eaf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Cholesterol, Dietary
111 rdf:type schema:DefinedTerm
112 N3f292be4f1984584ba560d55958a2258 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Female
114 rdf:type schema:DefinedTerm
115 N41c74fee85f24095bcbb4bb4673443e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Cohort Studies
117 rdf:type schema:DefinedTerm
118 N53d10a0d7a384a10afe5c3ec837cb5c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Age Factors
120 rdf:type schema:DefinedTerm
121 N5ac947a534f342349cd3c77f7a68ccef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Fatty Acids
123 rdf:type schema:DefinedTerm
124 N5d0d7f5d9e744b7d87d5a982207fa178 schema:name nlm_unique_id
125 schema:value 101147696
126 rdf:type schema:PropertyValue
127 N5e6a8bdd8955431eb24ff9fa8fbe8f60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Humans
129 rdf:type schema:DefinedTerm
130 N5f6b5355a85e4dcf8471cc141d0ae9c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Aged
132 rdf:type schema:DefinedTerm
133 N61a4d064d4ac460ab9d434d3cc6b8b13 schema:name Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA
134 rdf:type schema:Organization
135 N70bd5c0cb39944e9a5eafbc4313a1479 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Surveys and Questionnaires
137 rdf:type schema:DefinedTerm
138 N8b9cdf25cf074231a897ba045e199fa1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Carotid Artery Diseases
140 rdf:type schema:DefinedTerm
141 N9179a674cd78478b98977a5cfbdda140 schema:name dimensions_id
142 schema:value pub.1008726740
143 rdf:type schema:PropertyValue
144 N97c3759e58244f9da6a5bb658378a0e2 schema:name Springer Nature - SN SciGraph project
145 rdf:type schema:Organization
146 N988a43b16556422db9b0de75fe921de8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Energy Intake
148 rdf:type schema:DefinedTerm
149 N99dcfa91269e402981f58cec7bcebc4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Male
151 rdf:type schema:DefinedTerm
152 N99e253319b8243699640b72fae687e0a rdf:first sg:person.01232513350.25
153 rdf:rest N18902da9969b4140b4413a9175e99f2c
154 N9ab9c830d3e4476b9215a613c8ede6bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Middle Aged
156 rdf:type schema:DefinedTerm
157 Na2c9b9e4b68f4ac5857f5772e167cca7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Gene Expression
159 rdf:type schema:DefinedTerm
160 Nb12f57952dbe412783da4275f283484f schema:volumeNumber 12
161 rdf:type schema:PublicationVolume
162 Nb34000c38c6948799504d4bdcfa69f91 schema:name Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA
163 rdf:type schema:Organization
164 Ncda8b37146fd47a5b9564371ab38ee11 schema:name pubmed_id
165 schema:value 24330840
166 rdf:type schema:PropertyValue
167 Nd056bbab350f404c89f4f30d189a864b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Linear Models
169 rdf:type schema:DefinedTerm
170 Nd2d06c371de64258af42381e2366e7bf rdf:first sg:person.01231762344.84
171 rdf:rest Ne2b7d81ef94b42889c582fbff54e8554
172 Nde660eb58a1f40d898b2042c69d51ddb rdf:first sg:person.01201446563.23
173 rdf:rest rdf:nil
174 Ne2b7d81ef94b42889c582fbff54e8554 rdf:first sg:person.0100137647.40
175 rdf:rest Nebd7a24840cd48f1bb460916edc11037
176 Ne2c9a1e818164bff90b5d030dde4ac83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Aryldialkylphosphatase
178 rdf:type schema:DefinedTerm
179 Nebd7a24840cd48f1bb460916edc11037 rdf:first sg:person.0726550152.71
180 rdf:rest Nde660eb58a1f40d898b2042c69d51ddb
181 Nee27742b5998478ba2f85fc5d514b1a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Fatty Acids, Monounsaturated
183 rdf:type schema:DefinedTerm
184 Nf3964182d5d8486e9120c4f524dfd4cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Fatty Acids, Unsaturated
186 rdf:type schema:DefinedTerm
187 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
188 schema:name Biological Sciences
189 rdf:type schema:DefinedTerm
190 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
191 schema:name Biochemistry and Cell Biology
192 rdf:type schema:DefinedTerm
193 sg:grant.2538042 http://pending.schema.org/fundedItem sg:pub.10.1186/1476-511x-12-183
194 rdf:type schema:MonetaryGrant
195 sg:grant.2684527 http://pending.schema.org/fundedItem sg:pub.10.1186/1476-511x-12-183
196 rdf:type schema:MonetaryGrant
197 sg:grant.3493292 http://pending.schema.org/fundedItem sg:pub.10.1186/1476-511x-12-183
198 rdf:type schema:MonetaryGrant
199 sg:journal.1031029 schema:issn 1476-511X
200 schema:name Lipids in Health and Disease
201 rdf:type schema:Periodical
202 sg:person.0100137647.40 schema:affiliation N170b7c799a6d4c28b4816471a6566532
203 schema:familyName Ranchalis
204 schema:givenName Jane E
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0100137647.40
206 rdf:type schema:Person
207 sg:person.010031033553.50 schema:affiliation N61a4d064d4ac460ab9d434d3cc6b8b13
208 schema:familyName Maden
209 schema:givenName Sean K
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010031033553.50
211 rdf:type schema:Person
212 sg:person.01201446563.23 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
213 schema:familyName Jarvik
214 schema:givenName Gail P
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201446563.23
216 rdf:type schema:Person
217 sg:person.01231762344.84 schema:affiliation Nb34000c38c6948799504d4bdcfa69f91
218 schema:familyName Burt
219 schema:givenName Amber A
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231762344.84
221 rdf:type schema:Person
222 sg:person.01232513350.25 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
223 schema:familyName Kim
224 schema:givenName Daniel Seung
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232513350.25
226 rdf:type schema:Person
227 sg:person.0726550152.71 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
228 schema:familyName Furlong
229 schema:givenName Clement E
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726550152.71
231 rdf:type schema:Person
232 sg:pub.10.1007/s00210-003-0833-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040664135
233 https://doi.org/10.1007/s00210-003-0833-1
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/nature09270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050402786
236 https://doi.org/10.1038/nature09270
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/ng1196-334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019374054
239 https://doi.org/10.1038/ng1196-334
240 rdf:type schema:CreativeWork
241 sg:pub.10.1038/sj.ejcn.1601250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030201545
242 https://doi.org/10.1038/sj.ejcn.1601250
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/0014-5793(91)80962-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018308152
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/0021-9150(93)90183-u schema:sameAs https://app.dimensions.ai/details/publication/pub.1003115923
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/0041-008x(90)90263-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1018112805
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.bbagen.2008.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008119214
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/j.bcp.2010.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011429088
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/j.femsle.2005.09.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050469934
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/j.freeradbiomed.2008.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036482492
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/j.freeradbiomed.2010.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044789017
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.taap.2008.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034723104
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/s0014-2999(01)01482-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026570093
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/s0021-9150(99)00379-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026533233
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/s0140-6736(12)60312-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037067972
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1021/bi00106a010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055161106
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1042/bj20030663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033994340
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1053/meta.2002.36305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015976582
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1056/nejmoa1107579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021736323
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1073/pnas.0805865105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027530386
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1086/320600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058623175
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1093/aje/154.12.1107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005449237
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/jn/130.10.2427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074707600
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1093/oxfordjournals.aje.a116211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077150582
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1093/oxfordjournals.aje.a116302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076955521
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1097/00008571-200102000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060289797
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1097/00008571-200305000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060290032
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1097/01.fpc.0000054086.48725.90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060290032
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1152/ajplung.00370.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053368668
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1155/2012/476316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004042305
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1161/01.atv.0000027101.40323.3a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043448029
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1161/01.atv.0000081635.96290.d3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031347398
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1161/01.atv.20.11.2441 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010192206
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1161/01.atv.20.2.516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051465543
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1161/01.cir.0000038493.65177.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049418474
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1161/circgenetics.108.811638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035366348
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1194/jlr.m400144-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010147930
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1194/jlr.m400511-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033451503
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1194/jlr.p030601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049465879
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1194/jlr.p033266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035940050
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1194/jlr.p035238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027695381
319 rdf:type schema:CreativeWork
320 https://doi.org/10.2217/pgs.13.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029393460
321 rdf:type schema:CreativeWork
322 https://www.grid.ac/institutes/grid.34477.33 schema:alternateName University of Washington
323 schema:name Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
324 Department of Medicine, Division of Medical Genetics, University of Washington School of Medicine, Box 357720, 98195-7720, Seattle, WA, USA
325 rdf:type schema:Organization
 




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


...