Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Maitreyee Bose, Chong Wu, James S Pankow, Ellen W Demerath, Jan Bressler, Myriam Fornage, Megan L Grove, Thomas H Mosley, Chindo Hicks, Kari North, Wen Hong Kao, Yu Zhang, Eric Boerwinkle, Weihua Guan

ABSTRACT

BACKGROUND: DNA methylation is a widely studied epigenetic phenomenon; alterations in methylation patterns influence human phenotypes and risk of disease. As part of the Atherosclerosis Risk in Communities (ARIC) study, the Illumina Infinium HumanMethylation450 (HM450) BeadChip was used to measure DNA methylation in peripheral blood obtained from ~3000 African American study participants. Over 480,000 cytosine-guanine (CpG) dinucleotide sites were surveyed on the HM450 BeadChip. To evaluate the impact of technical variation, 265 technical replicates from 130 participants were included in the study. RESULTS: For each CpG site, we calculated the intraclass correlation coefficient (ICC) to compare variation of methylation levels within- and between-replicate pairs, ranging between 0 and 1. We modeled the distribution of ICC as a mixture of censored or truncated normal and normal distributions using an EM algorithm. The CpG sites were clustered into low- and high-reliability groups, according to the calculated posterior probabilities. We also demonstrated the performance of this clustering when applied to a study of association between methylation levels and smoking status of individuals. For the CpG sites showing genome-wide significant association with smoking status, most (~96%) were seen from sites in the high reliability cluster. CONCLUSIONS: We suggest that CpG sites with low ICC may be excluded from subsequent association analyses, or extra caution needs to be taken for associations at such sites. More... »

PAGES

312

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-15-312

DOI

http://dx.doi.org/10.1186/1471-2105-15-312

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017248116

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25239148


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Atherosclerosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "CpG Islands", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Methylation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Epigenomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Residence Characteristics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Biostatistics, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bose", 
        "givenName": "Maitreyee", 
        "id": "sg:person.0600304170.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600304170.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Biostatistics, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Chong", 
        "id": "sg:person.0646417370.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646417370.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pankow", 
        "givenName": "James S", 
        "id": "sg:person.016714200004.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016714200004.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Demerath", 
        "givenName": "Ellen W", 
        "id": "sg:person.01020141307.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020141307.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at Houston", 
          "id": "https://www.grid.ac/institutes/grid.267308.8", 
          "name": [
            "Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, 77030, Houston, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bressler", 
        "givenName": "Jan", 
        "id": "sg:person.01232615556.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232615556.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at Houston", 
          "id": "https://www.grid.ac/institutes/grid.267308.8", 
          "name": [
            "Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, 77030, Houston, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fornage", 
        "givenName": "Myriam", 
        "id": "sg:person.0751112610.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751112610.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at Houston", 
          "id": "https://www.grid.ac/institutes/grid.267308.8", 
          "name": [
            "Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, 77030, Houston, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grove", 
        "givenName": "Megan L", 
        "id": "sg:person.0654121465.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654121465.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Mississippi", 
          "id": "https://www.grid.ac/institutes/grid.251313.7", 
          "name": [
            "Department of Neurology and Department of Medicine, University of Mississippi, 39216, Jackson, MS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mosley", 
        "givenName": "Thomas H", 
        "id": "sg:person.011267342137.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011267342137.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Mississippi", 
          "id": "https://www.grid.ac/institutes/grid.251313.7", 
          "name": [
            "Department of Neurology and Department of Medicine, University of Mississippi, 39216, Jackson, MS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hicks", 
        "givenName": "Chindo", 
        "id": "sg:person.0632061613.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632061613.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Carolina System", 
          "id": "https://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Department of Epidemiology, School of Public Health, University of North Carolina, 27516, Chapel Hill, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "North", 
        "givenName": "Kari", 
        "id": "sg:person.011405001662.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405001662.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 21205, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kao", 
        "givenName": "Wen Hong", 
        "id": "sg:person.010012617237.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012617237.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Computer Science, Saint John\u2019s University, 56321, Collegeville, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at Houston", 
          "id": "https://www.grid.ac/institutes/grid.267308.8", 
          "name": [
            "Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, 77030, Houston, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boerwinkle", 
        "givenName": "Eric", 
        "id": "sg:person.01104262534.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104262534.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Biostatistics, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guan", 
        "givenName": "Weihua", 
        "id": "sg:person.016023137217.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016023137217.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrg3270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003814753", 
          "https://doi.org/10.1038/nrg3270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1063852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004592170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.11.105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005689442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcp.20280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006071387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.12.21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006406279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btr171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007375278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajmg.b.32021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009003237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/dds488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013380018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0017238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015152051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxj037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016217055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/dds135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018341300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018571622", 
          "https://doi.org/10.1186/1471-2164-11-701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gepi.21789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022278758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-13-s13-s7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022651247", 
          "https://doi.org/10.1186/1471-2105-13-s13-s7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/epi.23470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023015244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025078414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026070037", 
          "https://doi.org/10.1038/nrg2732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026070037", 
          "https://doi.org/10.1038/nrg2732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2011.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029393546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.7301508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034459629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034676446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-11-227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035973257", 
          "https://doi.org/10.1186/1471-2105-11-227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037809833", 
          "https://doi.org/10.1038/nrg2825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037809833", 
          "https://doi.org/10.1038/nrg2825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1755-8794-4-84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040448121", 
          "https://doi.org/10.1186/1755-8794-4-84"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/schbul/sbt080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041021688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.1205412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041725439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.09.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042294074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.csda.2012.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043462924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044723213", 
          "https://doi.org/10.1038/nrg1655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044723213", 
          "https://doi.org/10.1038/nrg1655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2014-15-2-r31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048892555", 
          "https://doi.org/10.1186/gb-2014-15-2-r31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a115184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059958072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/epi.24008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072302590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/epi.6.6.16196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072303171"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: DNA methylation is a widely studied epigenetic phenomenon; alterations in methylation patterns influence human phenotypes and risk of disease. As part of the Atherosclerosis Risk in Communities (ARIC) study, the Illumina Infinium HumanMethylation450 (HM450) BeadChip was used to measure DNA methylation in peripheral blood obtained from ~3000 African American study participants. Over 480,000 cytosine-guanine (CpG) dinucleotide sites were surveyed on the HM450 BeadChip. To evaluate the impact of technical variation, 265 technical replicates from 130 participants were included in the study.\nRESULTS: For each CpG site, we calculated the intraclass correlation coefficient (ICC) to compare variation of methylation levels within- and between-replicate pairs, ranging between 0 and 1. We modeled the distribution of ICC as a mixture of censored or truncated normal and normal distributions using an EM algorithm. The CpG sites were clustered into low- and high-reliability groups, according to the calculated posterior probabilities. We also demonstrated the performance of this clustering when applied to a study of association between methylation levels and smoking status of individuals. For the CpG sites showing genome-wide significant association with smoking status, most (~96%) were seen from sites in the high reliability cluster.\nCONCLUSIONS: We suggest that CpG sites with low ICC may be excluded from subsequent association analyses, or extra caution needs to be taken for associations at such sites.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2105-15-312", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2345504", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2669432", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345564", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345510", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345491", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345516", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345497", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345522", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2345526", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023786", 
        "issn": [
          "1471-2105"
        ], 
        "name": "BMC Bioinformatics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study", 
    "pagination": "312", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "522d7ba1f5693a74892de2f0e7cd63a5ca036aeb8b8565771c956154c194fd78"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25239148"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965194"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2105-15-312"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017248116"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2105-15-312", 
      "https://app.dimensions.ai/details/publication/pub.1017248116"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:24", 
    "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_8659_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2105-15-312"
  }
]
 

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.10.1186/1471-2105-15-312'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-15-312'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-15-312'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-15-312'


 

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

348 TRIPLES      21 PREDICATES      74 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2105-15-312 schema:about N27e4f22231984952a566d45643c14908
2 N2a896edcd0ec4bea9bcbbd196f0c42ac
3 N3e9ae03b30ca4de683b7d7bb660daa4e
4 N407153c7d8c649b19f001300828252da
5 N686d59f7c9624dbfbae8a5814047746d
6 N79c1a4809b904fa7aa672dff23d5930f
7 N8004f7ee62ce4865bb163543c9d94a0d
8 N92c60c3b5db64648aada0633ea5b58b4
9 Naa7722f71939468fb1e8d7b10b0bedf2
10 Nc163671c81a44fa9bbf09718dab1c055
11 Nc31d19e5016b47ef97c7682f49698ba0
12 Ncbc3f30d414442b8a1474cac43227003
13 Nf587c9bfafc94c8c903e5f41b276e56e
14 anzsrc-for:11
15 anzsrc-for:1117
16 schema:author Nae02fe3f56d544ed9ba37e1dd770dcee
17 schema:citation sg:pub.10.1038/nrg1655
18 sg:pub.10.1038/nrg2732
19 sg:pub.10.1038/nrg2825
20 sg:pub.10.1038/nrg3270
21 sg:pub.10.1186/1471-2105-11-227
22 sg:pub.10.1186/1471-2105-13-s13-s7
23 sg:pub.10.1186/1471-2164-11-701
24 sg:pub.10.1186/1755-8794-4-84
25 sg:pub.10.1186/gb-2014-15-2-r31
26 https://doi.org/10.1002/ajmg.b.32021
27 https://doi.org/10.1002/gepi.21789
28 https://doi.org/10.1002/jcp.20280
29 https://doi.org/10.1016/j.ajhg.2011.03.003
30 https://doi.org/10.1016/j.csda.2012.03.003
31 https://doi.org/10.1093/bioinformatics/btr171
32 https://doi.org/10.1093/bioinformatics/bts034
33 https://doi.org/10.1093/biostatistics/kxj037
34 https://doi.org/10.1093/hmg/dds135
35 https://doi.org/10.1093/hmg/dds488
36 https://doi.org/10.1093/nar/gkn122
37 https://doi.org/10.1093/oxfordjournals.aje.a115184
38 https://doi.org/10.1093/schbul/sbt080
39 https://doi.org/10.1101/gr.7301508
40 https://doi.org/10.1126/science.1063852
41 https://doi.org/10.1289/ehp.1205412
42 https://doi.org/10.1371/journal.pone.0017238
43 https://doi.org/10.2217/epi.09.14
44 https://doi.org/10.2217/epi.11.105
45 https://doi.org/10.2217/epi.12.21
46 https://doi.org/10.4161/epi.23470
47 https://doi.org/10.4161/epi.24008
48 https://doi.org/10.4161/epi.6.6.16196
49 schema:datePublished 2014-12
50 schema:datePublishedReg 2014-12-01
51 schema:description BACKGROUND: DNA methylation is a widely studied epigenetic phenomenon; alterations in methylation patterns influence human phenotypes and risk of disease. As part of the Atherosclerosis Risk in Communities (ARIC) study, the Illumina Infinium HumanMethylation450 (HM450) BeadChip was used to measure DNA methylation in peripheral blood obtained from ~3000 African American study participants. Over 480,000 cytosine-guanine (CpG) dinucleotide sites were surveyed on the HM450 BeadChip. To evaluate the impact of technical variation, 265 technical replicates from 130 participants were included in the study. RESULTS: For each CpG site, we calculated the intraclass correlation coefficient (ICC) to compare variation of methylation levels within- and between-replicate pairs, ranging between 0 and 1. We modeled the distribution of ICC as a mixture of censored or truncated normal and normal distributions using an EM algorithm. The CpG sites were clustered into low- and high-reliability groups, according to the calculated posterior probabilities. We also demonstrated the performance of this clustering when applied to a study of association between methylation levels and smoking status of individuals. For the CpG sites showing genome-wide significant association with smoking status, most (~96%) were seen from sites in the high reliability cluster. CONCLUSIONS: We suggest that CpG sites with low ICC may be excluded from subsequent association analyses, or extra caution needs to be taken for associations at such sites.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree true
55 schema:isPartOf N24daab1efac948af89fab9417f30108f
56 N829547b642e844508279114539ee56af
57 sg:journal.1023786
58 schema:name Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study
59 schema:pagination 312
60 schema:productId N26fc668796dc4c41bb2d3bbe98f7940c
61 N33c930b5898543eda97187913e2867f2
62 N3ebd01f518924ef283bffe1cd32333ef
63 Na7909ac989f3423688cce2b28be10412
64 Nf3b627bb47524868babce6434f00baee
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017248116
66 https://doi.org/10.1186/1471-2105-15-312
67 schema:sdDatePublished 2019-04-10T13:24
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N58b5d11503c4478ba220f582b370489c
70 schema:url http://link.springer.com/10.1186%2F1471-2105-15-312
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N0e1051e2e9f54ad9b48b3fb5218a9cb4 rdf:first N24f47c18a89e4fef98ff9200b57d55ad
75 rdf:rest N8a50ad41657f4f2fae024b127d3bd5ec
76 N24daab1efac948af89fab9417f30108f schema:volumeNumber 15
77 rdf:type schema:PublicationVolume
78 N24f47c18a89e4fef98ff9200b57d55ad schema:affiliation Nec28295d3121496caaba8949c4c50136
79 schema:familyName Zhang
80 schema:givenName Yu
81 rdf:type schema:Person
82 N26f7fde47fb441018ac008885e335030 rdf:first sg:person.0632061613.43
83 rdf:rest Nca68c026578141b0812be09ead8011f5
84 N26fc668796dc4c41bb2d3bbe98f7940c schema:name pubmed_id
85 schema:value 25239148
86 rdf:type schema:PropertyValue
87 N27e4f22231984952a566d45643c14908 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Genetic Predisposition to Disease
89 rdf:type schema:DefinedTerm
90 N2a896edcd0ec4bea9bcbbd196f0c42ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Female
92 rdf:type schema:DefinedTerm
93 N33c930b5898543eda97187913e2867f2 schema:name dimensions_id
94 schema:value pub.1017248116
95 rdf:type schema:PropertyValue
96 N38047a89eefc427a98dcdb32841dcb3b rdf:first sg:person.01020141307.74
97 rdf:rest N4cd910c79cd044f894d3f3689140420d
98 N3e9ae03b30ca4de683b7d7bb660daa4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Atherosclerosis
100 rdf:type schema:DefinedTerm
101 N3ebd01f518924ef283bffe1cd32333ef schema:name doi
102 schema:value 10.1186/1471-2105-15-312
103 rdf:type schema:PropertyValue
104 N407153c7d8c649b19f001300828252da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Humans
106 rdf:type schema:DefinedTerm
107 N4cd910c79cd044f894d3f3689140420d rdf:first sg:person.01232615556.56
108 rdf:rest N8cadf9b6f56f4500852ef7a4bc442f8c
109 N58b5d11503c4478ba220f582b370489c schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 N645ef719ad4a4e1ab6190a6c008cb95b rdf:first sg:person.0654121465.06
112 rdf:rest N743e0aa06266499487a34c05282c118b
113 N686d59f7c9624dbfbae8a5814047746d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Reproducibility of Results
115 rdf:type schema:DefinedTerm
116 N6f3651de418e4012aefe9ec5b538b581 rdf:first sg:person.016714200004.37
117 rdf:rest N38047a89eefc427a98dcdb32841dcb3b
118 N743e0aa06266499487a34c05282c118b rdf:first sg:person.011267342137.34
119 rdf:rest N26f7fde47fb441018ac008885e335030
120 N79c1a4809b904fa7aa672dff23d5930f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name CpG Islands
122 rdf:type schema:DefinedTerm
123 N8004f7ee62ce4865bb163543c9d94a0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Epigenomics
125 rdf:type schema:DefinedTerm
126 N829547b642e844508279114539ee56af schema:issueNumber 1
127 rdf:type schema:PublicationIssue
128 N8a50ad41657f4f2fae024b127d3bd5ec rdf:first sg:person.01104262534.26
129 rdf:rest Nc61dd6234b5c437b934384e9e4a897b1
130 N8cadf9b6f56f4500852ef7a4bc442f8c rdf:first sg:person.0751112610.31
131 rdf:rest N645ef719ad4a4e1ab6190a6c008cb95b
132 N92c60c3b5db64648aada0633ea5b58b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Male
134 rdf:type schema:DefinedTerm
135 Na3c27da8bb7d43a49498c1bcd9f77b7a rdf:first sg:person.010012617237.52
136 rdf:rest N0e1051e2e9f54ad9b48b3fb5218a9cb4
137 Na7909ac989f3423688cce2b28be10412 schema:name nlm_unique_id
138 schema:value 100965194
139 rdf:type schema:PropertyValue
140 Naa7722f71939468fb1e8d7b10b0bedf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name DNA Methylation
142 rdf:type schema:DefinedTerm
143 Nae02fe3f56d544ed9ba37e1dd770dcee rdf:first sg:person.0600304170.16
144 rdf:rest Nd95d51da40d243dab550fe6779d94112
145 Nc163671c81a44fa9bbf09718dab1c055 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Cluster Analysis
147 rdf:type schema:DefinedTerm
148 Nc31d19e5016b47ef97c7682f49698ba0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Middle Aged
150 rdf:type schema:DefinedTerm
151 Nc61dd6234b5c437b934384e9e4a897b1 rdf:first sg:person.016023137217.06
152 rdf:rest rdf:nil
153 Nca68c026578141b0812be09ead8011f5 rdf:first sg:person.011405001662.87
154 rdf:rest Na3c27da8bb7d43a49498c1bcd9f77b7a
155 Ncbc3f30d414442b8a1474cac43227003 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Oligonucleotide Array Sequence Analysis
157 rdf:type schema:DefinedTerm
158 Nd95d51da40d243dab550fe6779d94112 rdf:first sg:person.0646417370.19
159 rdf:rest N6f3651de418e4012aefe9ec5b538b581
160 Nec28295d3121496caaba8949c4c50136 schema:name Department of Computer Science, Saint John’s University, 56321, Collegeville, MN, USA
161 rdf:type schema:Organization
162 Nf3b627bb47524868babce6434f00baee schema:name readcube_id
163 schema:value 522d7ba1f5693a74892de2f0e7cd63a5ca036aeb8b8565771c956154c194fd78
164 rdf:type schema:PropertyValue
165 Nf587c9bfafc94c8c903e5f41b276e56e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Residence Characteristics
167 rdf:type schema:DefinedTerm
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
172 schema:name Public Health and Health Services
173 rdf:type schema:DefinedTerm
174 sg:grant.2345491 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
175 rdf:type schema:MonetaryGrant
176 sg:grant.2345497 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
177 rdf:type schema:MonetaryGrant
178 sg:grant.2345504 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
179 rdf:type schema:MonetaryGrant
180 sg:grant.2345510 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
181 rdf:type schema:MonetaryGrant
182 sg:grant.2345516 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
183 rdf:type schema:MonetaryGrant
184 sg:grant.2345522 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
185 rdf:type schema:MonetaryGrant
186 sg:grant.2345526 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
187 rdf:type schema:MonetaryGrant
188 sg:grant.2345564 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
189 rdf:type schema:MonetaryGrant
190 sg:grant.2669432 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2105-15-312
191 rdf:type schema:MonetaryGrant
192 sg:journal.1023786 schema:issn 1471-2105
193 schema:name BMC Bioinformatics
194 rdf:type schema:Periodical
195 sg:person.010012617237.52 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
196 schema:familyName Kao
197 schema:givenName Wen Hong
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012617237.52
199 rdf:type schema:Person
200 sg:person.01020141307.74 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
201 schema:familyName Demerath
202 schema:givenName Ellen W
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020141307.74
204 rdf:type schema:Person
205 sg:person.01104262534.26 schema:affiliation https://www.grid.ac/institutes/grid.267308.8
206 schema:familyName Boerwinkle
207 schema:givenName Eric
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104262534.26
209 rdf:type schema:Person
210 sg:person.011267342137.34 schema:affiliation https://www.grid.ac/institutes/grid.251313.7
211 schema:familyName Mosley
212 schema:givenName Thomas H
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011267342137.34
214 rdf:type schema:Person
215 sg:person.011405001662.87 schema:affiliation https://www.grid.ac/institutes/grid.410711.2
216 schema:familyName North
217 schema:givenName Kari
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405001662.87
219 rdf:type schema:Person
220 sg:person.01232615556.56 schema:affiliation https://www.grid.ac/institutes/grid.267308.8
221 schema:familyName Bressler
222 schema:givenName Jan
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232615556.56
224 rdf:type schema:Person
225 sg:person.016023137217.06 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
226 schema:familyName Guan
227 schema:givenName Weihua
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016023137217.06
229 rdf:type schema:Person
230 sg:person.016714200004.37 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
231 schema:familyName Pankow
232 schema:givenName James S
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016714200004.37
234 rdf:type schema:Person
235 sg:person.0600304170.16 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
236 schema:familyName Bose
237 schema:givenName Maitreyee
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600304170.16
239 rdf:type schema:Person
240 sg:person.0632061613.43 schema:affiliation https://www.grid.ac/institutes/grid.251313.7
241 schema:familyName Hicks
242 schema:givenName Chindo
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632061613.43
244 rdf:type schema:Person
245 sg:person.0646417370.19 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
246 schema:familyName Wu
247 schema:givenName Chong
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646417370.19
249 rdf:type schema:Person
250 sg:person.0654121465.06 schema:affiliation https://www.grid.ac/institutes/grid.267308.8
251 schema:familyName Grove
252 schema:givenName Megan L
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654121465.06
254 rdf:type schema:Person
255 sg:person.0751112610.31 schema:affiliation https://www.grid.ac/institutes/grid.267308.8
256 schema:familyName Fornage
257 schema:givenName Myriam
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751112610.31
259 rdf:type schema:Person
260 sg:pub.10.1038/nrg1655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044723213
261 https://doi.org/10.1038/nrg1655
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/nrg2732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026070037
264 https://doi.org/10.1038/nrg2732
265 rdf:type schema:CreativeWork
266 sg:pub.10.1038/nrg2825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037809833
267 https://doi.org/10.1038/nrg2825
268 rdf:type schema:CreativeWork
269 sg:pub.10.1038/nrg3270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003814753
270 https://doi.org/10.1038/nrg3270
271 rdf:type schema:CreativeWork
272 sg:pub.10.1186/1471-2105-11-227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035973257
273 https://doi.org/10.1186/1471-2105-11-227
274 rdf:type schema:CreativeWork
275 sg:pub.10.1186/1471-2105-13-s13-s7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022651247
276 https://doi.org/10.1186/1471-2105-13-s13-s7
277 rdf:type schema:CreativeWork
278 sg:pub.10.1186/1471-2164-11-701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018571622
279 https://doi.org/10.1186/1471-2164-11-701
280 rdf:type schema:CreativeWork
281 sg:pub.10.1186/1755-8794-4-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040448121
282 https://doi.org/10.1186/1755-8794-4-84
283 rdf:type schema:CreativeWork
284 sg:pub.10.1186/gb-2014-15-2-r31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048892555
285 https://doi.org/10.1186/gb-2014-15-2-r31
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1002/ajmg.b.32021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009003237
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1002/gepi.21789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022278758
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1002/jcp.20280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006071387
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1016/j.ajhg.2011.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029393546
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1016/j.csda.2012.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043462924
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/bioinformatics/btr171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007375278
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1093/bioinformatics/bts034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025078414
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1093/biostatistics/kxj037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016217055
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1093/hmg/dds135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018341300
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1093/hmg/dds488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013380018
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1093/nar/gkn122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034676446
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1093/oxfordjournals.aje.a115184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059958072
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1093/schbul/sbt080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041021688
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1101/gr.7301508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034459629
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1126/science.1063852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004592170
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1289/ehp.1205412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041725439
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1371/journal.pone.0017238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015152051
320 rdf:type schema:CreativeWork
321 https://doi.org/10.2217/epi.09.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042294074
322 rdf:type schema:CreativeWork
323 https://doi.org/10.2217/epi.11.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005689442
324 rdf:type schema:CreativeWork
325 https://doi.org/10.2217/epi.12.21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006406279
326 rdf:type schema:CreativeWork
327 https://doi.org/10.4161/epi.23470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023015244
328 rdf:type schema:CreativeWork
329 https://doi.org/10.4161/epi.24008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072302590
330 rdf:type schema:CreativeWork
331 https://doi.org/10.4161/epi.6.6.16196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072303171
332 rdf:type schema:CreativeWork
333 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
334 schema:name Division of Biostatistics, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA
335 Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 55455, Minneapolis, MN, USA
336 rdf:type schema:Organization
337 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
338 schema:name Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 21205, Baltimore, MD, USA
339 rdf:type schema:Organization
340 https://www.grid.ac/institutes/grid.251313.7 schema:alternateName University of Mississippi
341 schema:name Department of Neurology and Department of Medicine, University of Mississippi, 39216, Jackson, MS, USA
342 rdf:type schema:Organization
343 https://www.grid.ac/institutes/grid.267308.8 schema:alternateName The University of Texas Health Science Center at Houston
344 schema:name Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, 77030, Houston, TX, USA
345 rdf:type schema:Organization
346 https://www.grid.ac/institutes/grid.410711.2 schema:alternateName University of North Carolina System
347 schema:name Department of Epidemiology, School of Public Health, University of North Carolina, 27516, Chapel Hill, NC, USA
348 rdf:type schema:Organization
 




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


...