Genomic structure of nucleotide diversity among Lyon rat models of metabolic syndrome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Man Chun John Ma, Santosh S Atanur, Timothy J Aitman, Anne E Kwitek

ABSTRACT

BACKGROUND: The metabolic syndrome (MetS), a complex disorder involving hypertension, obesity, dyslipidemia and insulin resistance, is a major risk factor for heart disease, stroke, and diabetes. The Lyon Hypertensive (LH), Lyon Normotensive (LN) and Lyon Low-pressure (LL) rats are inbred strains simultaneously derived from a common outbred Sprague Dawley colony by selection for high, normal, and low blood pressure, respectively. Further studies found that LH is a MetS susceptible strain, while LN is resistant and LL has an intermediate phenotype. Whole genome sequencing determined that, while the strains are phenotypically divergent, they are nearly 98% similar at the nucleotide level. Using the sequence of the three strains, we applied an approach that harnesses the distribution of Observed Strain Differences (OSD), or nucleotide diversity, to distinguish genomic regions of identity-by-descent (IBD) from those with divergent ancestry between the three strains. This information was then used to fine-map QTL identified in a cross between LH and LN rats in order to identify candidate genes causing the phenotypes. RESULTS: We identified haplotypes that, in total, contain at least 95% of the identifiable polymorphisms between the Lyon strains that are likely of differing ancestral origin. By intersecting the identified haplotype blocks with Quantitative Trait Loci (QTL) previously identified in a cross between LH and LN strains, the candidate QTL regions have been narrowed by 78%. Because the genome sequence has been determined, we were further able to identify putative functional variants in genes that are candidates for causing the QTL. CONCLUSIONS: Whole genome sequence analysis between the LH, LN, and LL strains identified the haplotype structure of these three strains and identified candidate genes with sequence variants predicted to affect gene function. This approach, merged with additional integrative genetics approaches, will likely lead to novel mechanisms underlying complex disease and provide new drug targets and therapies. More... »

PAGES

197

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2164-15-197

DOI

http://dx.doi.org/10.1186/1471-2164-15-197

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022630899

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24628878


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosome Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Models, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome-Wide Association Study", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Syndrome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quantitative Trait Loci", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Iowa", 
          "id": "https://www.grid.ac/institutes/grid.214572.7", 
          "name": [
            "Department of Pharmacology, University of Iowa, Iowa City, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Man Chun John", 
        "id": "sg:person.012320612204.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012320612204.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Physiological Genomic and Medicine group, MRC Clinical Sciences Centre, Imperial College London, Hammersmith Campus, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Atanur", 
        "givenName": "Santosh S", 
        "id": "sg:person.0735314510.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735314510.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Physiological Genomic and Medicine group, MRC Clinical Sciences Centre, Imperial College London, Hammersmith Campus, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aitman", 
        "givenName": "Timothy J", 
        "id": "sg:person.015537525157.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015537525157.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Iowa", 
          "id": "https://www.grid.ac/institutes/grid.214572.7", 
          "name": [
            "Department of Pharmacology, University of Iowa, Iowa City, IA, USA", 
            "Iowa Institute of Human Genetics, Department of Pharmacology, Internal Medicine, Molecular Physiology & Biophysics, University of Iowa, 3111B MERF, 375 Newton Rd, 52242, Iowa City, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kwitek", 
        "givenName": "Anne E", 
        "id": "sg:person.01157717070.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157717070.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/00004872-199604000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002580149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-199604000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002580149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.190332597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004688740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.0000018910.74377.93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004970763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btm455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005388431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-199311000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005913444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-199311000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005913444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db11-0174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006877113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00335-010-9285-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006919114", 
          "https://doi.org/10.1007/s00335-010-9285-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00335-010-9285-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006919114", 
          "https://doi.org/10.1007/s00335-010-9285-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0410-248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007489634", 
          "https://doi.org/10.1038/nmeth0410-248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0410-248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007489634", 
          "https://doi.org/10.1038/nmeth0410-248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0058550", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009416680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010244476", 
          "https://doi.org/10.1038/ng.806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2350-8-s1-s18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010750098", 
          "https://doi.org/10.1186/1471-2350-8-s1-s18"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.109.192644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011029623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db10-1743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012247366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-5809(75)90020-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014149434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.105.171600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016289361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017863724", 
          "https://doi.org/10.1038/ng1551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017863724", 
          "https://doi.org/10.1038/ng1551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6823-13-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018568482", 
          "https://doi.org/10.1186/1472-6823-13-12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.0000144542.57306.5e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019054003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.0000144542.57306.5e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019054003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1755-8166-2-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019249923", 
          "https://doi.org/10.1186/1755-8166-2-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dvg.20320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020520859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2350-8-s1-s16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020787825", 
          "https://doi.org/10.1186/1471-2350-8-s1-s16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005344-198109000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023874911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005344-198109000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023874911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005344-198109000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023874911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11033-010-9962-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024248576", 
          "https://doi.org/10.1007/s11033-010-9962-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.110.958934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024481951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.110.958934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024481951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2350-8-s1-s5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026323322", 
          "https://doi.org/10.1186/1471-2350-8-s1-s5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027231457", 
          "https://doi.org/10.1038/nature11837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027264776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-7652.2011.00676.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027846584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.295.13.1549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029260331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11906-001-0072-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030999835", 
          "https://doi.org/10.1007/s11906-001-0072-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031915691", 
          "https://doi.org/10.1038/nature01252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031915691", 
          "https://doi.org/10.1038/nature01252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.107524.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032096953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/database/bar030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032299006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nlm.2012.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032418971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygeno.2010.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032611787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-5809(03)00005-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032859960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-5809(03)00005-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032859960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.108.786533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033530766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.02-0486fje", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034652681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328329e4c0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035845306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328329e4c0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035845306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328329e4c0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035845306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/emboj.2011.260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035987728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036892131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00335-002-2204-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037894697", 
          "https://doi.org/10.1007/s00335-002-2204-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038266369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039812741", 
          "https://doi.org/10.1038/nature10814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1420-9101.2009.01698.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039815843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2605.2010.01076.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042866454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbt007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045636795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.06.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045666676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.8.11.1021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045827670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046109917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-13-134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046135038", 
          "https://doi.org/10.1186/1471-2105-13-134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msq148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046307020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046733386", 
          "https://doi.org/10.1038/ng.124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047117020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.178.6.2219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047869067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.103499.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047946706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048338096", 
          "https://doi.org/10.1038/nature02426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048338096", 
          "https://doi.org/10.1038/nature02426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048338096", 
          "https://doi.org/10.1038/nature02426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physiolgenomics.00262.2007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049650916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dev.20497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049999022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2350-8-s1-s2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050598687", 
          "https://doi.org/10.1186/1471-2350-8-s1-s2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/46794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052367675", 
          "https://doi.org/10.1038/46794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/46794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052367675", 
          "https://doi.org/10.1038/46794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/2003.81122976x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070882265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077936166", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpheart.1986.251.6.h1111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079952894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080542796", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: The metabolic syndrome (MetS), a complex disorder involving hypertension, obesity, dyslipidemia and insulin resistance, is a major risk factor for heart disease, stroke, and diabetes. The Lyon Hypertensive (LH), Lyon Normotensive (LN) and Lyon Low-pressure (LL) rats are inbred strains simultaneously derived from a common outbred Sprague Dawley colony by selection for high, normal, and low blood pressure, respectively. Further studies found that LH is a MetS susceptible strain, while LN is resistant and LL has an intermediate phenotype. Whole genome sequencing determined that, while the strains are phenotypically divergent, they are nearly 98% similar at the nucleotide level. Using the sequence of the three strains, we applied an approach that harnesses the distribution of Observed Strain Differences (OSD), or nucleotide diversity, to distinguish genomic regions of identity-by-descent (IBD) from those with divergent ancestry between the three strains. This information was then used to fine-map QTL identified in a cross between LH and LN rats in order to identify candidate genes causing the phenotypes.\nRESULTS: We identified haplotypes that, in total, contain at least 95% of the identifiable polymorphisms between the Lyon strains that are likely of differing ancestral origin. By intersecting the identified haplotype blocks with Quantitative Trait Loci (QTL) previously identified in a cross between LH and LN strains, the candidate QTL regions have been narrowed by 78%. Because the genome sequence has been determined, we were further able to identify putative functional variants in genes that are candidates for causing the QTL.\nCONCLUSIONS: Whole genome sequence analysis between the LH, LN, and LL strains identified the haplotype structure of these three strains and identified candidate genes with sequence variants predicted to affect gene function. This approach, merged with additional integrative genetics approaches, will likely lead to novel mechanisms underlying complex disease and provide new drug targets and therapies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2164-15-197", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2785144", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2541728", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2609771", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439094", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Genomic structure of nucleotide diversity among Lyon rat models of metabolic syndrome", 
    "pagination": "197", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6bd11cfbafcfcb91ce9383209e1b358499158a2aea4f4f5b44994258b8176dcf"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24628878"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2164-15-197"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022630899"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2164-15-197", 
      "https://app.dimensions.ai/details/publication/pub.1022630899"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:30", 
    "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_8690_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2164-15-197"
  }
]
 

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.10.1186/1471-2164-15-197'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-15-197'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-15-197'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-15-197'


 

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

370 TRIPLES      21 PREDICATES      108 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2164-15-197 schema:about N1a20fba6635840b4a6f2da57e26cad1d
2 N2958d2284d68450396d5accc208ff8c4
3 N2a5c2f57295f4d749d5ae4f28f110a12
4 N3da30bca3cb14baeb19a058a511f4c88
5 N471c5cb85f874ce291c72e49de10a08d
6 N68986649fd734a1daf560b7a92105498
7 N7d9b94616ccd44f8b9b2e301e4d474f9
8 N833889db83bc4284bed71612ccda57c3
9 N892bf827093047189b75e3ec368bd39f
10 N8f55e2599e4241afb6790431aaaab792
11 N98ceb904c8684a4a8ded32a15f6011c0
12 Na4bfa14684984e148225c17de53cac00
13 Naf784a86d3fd4e2389a37799b744f6d3
14 Nc1db97e78ba8441b8b5afdb63f0d45f4
15 anzsrc-for:06
16 anzsrc-for:0604
17 schema:author N3291f3abe24845b5b48f7bfe145ca20d
18 schema:citation sg:pub.10.1007/s00335-002-2204-5
19 sg:pub.10.1007/s00335-010-9285-3
20 sg:pub.10.1007/s11033-010-9962-z
21 sg:pub.10.1007/s11906-001-0072-0
22 sg:pub.10.1038/46794
23 sg:pub.10.1038/nature01252
24 sg:pub.10.1038/nature02426
25 sg:pub.10.1038/nature10814
26 sg:pub.10.1038/nature11837
27 sg:pub.10.1038/ng.124
28 sg:pub.10.1038/ng.806
29 sg:pub.10.1038/ng1551
30 sg:pub.10.1038/nmeth0410-248
31 sg:pub.10.1186/1471-2105-13-134
32 sg:pub.10.1186/1471-2350-8-s1-s16
33 sg:pub.10.1186/1471-2350-8-s1-s18
34 sg:pub.10.1186/1471-2350-8-s1-s2
35 sg:pub.10.1186/1471-2350-8-s1-s5
36 sg:pub.10.1186/1472-6823-13-12
37 sg:pub.10.1186/1755-8166-2-5
38 https://app.dimensions.ai/details/publication/pub.1077936166
39 https://app.dimensions.ai/details/publication/pub.1080542796
40 https://doi.org/10.1001/jama.295.13.1549
41 https://doi.org/10.1002/dev.20497
42 https://doi.org/10.1002/dvg.20320
43 https://doi.org/10.1016/0040-5809(75)90020-9
44 https://doi.org/10.1016/j.cell.2013.06.040
45 https://doi.org/10.1016/j.nlm.2012.04.009
46 https://doi.org/10.1016/j.ygeno.2010.02.004
47 https://doi.org/10.1016/s0040-5809(03)00005-4
48 https://doi.org/10.1038/emboj.2011.260
49 https://doi.org/10.1073/pnas.190332597
50 https://doi.org/10.1084/jem.178.6.2219
51 https://doi.org/10.1093/bib/bbt007
52 https://doi.org/10.1093/bioinformatics/btm455
53 https://doi.org/10.1093/bioinformatics/btp324
54 https://doi.org/10.1093/bioinformatics/btq033
55 https://doi.org/10.1093/bioinformatics/btq330
56 https://doi.org/10.1093/database/bar030
57 https://doi.org/10.1093/molbev/msq148
58 https://doi.org/10.1093/nar/gkr981
59 https://doi.org/10.1093/nar/gkr991
60 https://doi.org/10.1096/fj.02-0486fje
61 https://doi.org/10.1097/00004872-199311000-00004
62 https://doi.org/10.1097/00004872-199604000-00009
63 https://doi.org/10.1097/00005344-198109000-00011
64 https://doi.org/10.1097/hjh.0b013e328329e4c0
65 https://doi.org/10.1101/gr.103499.109
66 https://doi.org/10.1101/gr.107524.110
67 https://doi.org/10.1111/j.1365-2605.2010.01076.x
68 https://doi.org/10.1111/j.1420-9101.2009.01698.x
69 https://doi.org/10.1111/j.1467-7652.2011.00676.x
70 https://doi.org/10.1152/ajpheart.1986.251.6.h1111
71 https://doi.org/10.1152/physiolgenomics.00262.2007
72 https://doi.org/10.1161/01.hyp.0000018910.74377.93
73 https://doi.org/10.1161/01.hyp.0000144542.57306.5e
74 https://doi.org/10.1161/01.hyp.8.11.1021
75 https://doi.org/10.1161/circgenetics.110.958934
76 https://doi.org/10.1161/circulationaha.105.171600
77 https://doi.org/10.1161/circulationaha.108.786533
78 https://doi.org/10.1161/circulationaha.109.192644
79 https://doi.org/10.1371/journal.pone.0058550
80 https://doi.org/10.2337/db10-1743
81 https://doi.org/10.2337/db11-0174
82 https://doi.org/10.2527/2003.81122976x
83 schema:datePublished 2014-12
84 schema:datePublishedReg 2014-12-01
85 schema:description BACKGROUND: The metabolic syndrome (MetS), a complex disorder involving hypertension, obesity, dyslipidemia and insulin resistance, is a major risk factor for heart disease, stroke, and diabetes. The Lyon Hypertensive (LH), Lyon Normotensive (LN) and Lyon Low-pressure (LL) rats are inbred strains simultaneously derived from a common outbred Sprague Dawley colony by selection for high, normal, and low blood pressure, respectively. Further studies found that LH is a MetS susceptible strain, while LN is resistant and LL has an intermediate phenotype. Whole genome sequencing determined that, while the strains are phenotypically divergent, they are nearly 98% similar at the nucleotide level. Using the sequence of the three strains, we applied an approach that harnesses the distribution of Observed Strain Differences (OSD), or nucleotide diversity, to distinguish genomic regions of identity-by-descent (IBD) from those with divergent ancestry between the three strains. This information was then used to fine-map QTL identified in a cross between LH and LN rats in order to identify candidate genes causing the phenotypes. RESULTS: We identified haplotypes that, in total, contain at least 95% of the identifiable polymorphisms between the Lyon strains that are likely of differing ancestral origin. By intersecting the identified haplotype blocks with Quantitative Trait Loci (QTL) previously identified in a cross between LH and LN strains, the candidate QTL regions have been narrowed by 78%. Because the genome sequence has been determined, we were further able to identify putative functional variants in genes that are candidates for causing the QTL. CONCLUSIONS: Whole genome sequence analysis between the LH, LN, and LL strains identified the haplotype structure of these three strains and identified candidate genes with sequence variants predicted to affect gene function. This approach, merged with additional integrative genetics approaches, will likely lead to novel mechanisms underlying complex disease and provide new drug targets and therapies.
86 schema:genre research_article
87 schema:inLanguage en
88 schema:isAccessibleForFree true
89 schema:isPartOf N2e358c5e09ee469cbe6ff6e9c710aeb4
90 Nd89bd06361af41eb94ebac0ac6f2715e
91 sg:journal.1023790
92 schema:name Genomic structure of nucleotide diversity among Lyon rat models of metabolic syndrome
93 schema:pagination 197
94 schema:productId N58942b2fe59d418b9083a21aae382c51
95 N6ab806fce8b042b4b756209d3ca7f821
96 N7f0bef4df5334ae0963dd59b9b986017
97 N8e1234ce305b4ae4ac0634b67acb4f43
98 Ncd105ce9667b43df863cf6d66ac0daff
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022630899
100 https://doi.org/10.1186/1471-2164-15-197
101 schema:sdDatePublished 2019-04-10T22:30
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Nccfe945cdd4a49568c8d74db8621d34e
104 schema:url http://link.springer.com/10.1186%2F1471-2164-15-197
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N1a20fba6635840b4a6f2da57e26cad1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Polymorphism, Genetic
110 rdf:type schema:DefinedTerm
111 N2958d2284d68450396d5accc208ff8c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Reproducibility of Results
113 rdf:type schema:DefinedTerm
114 N2a5c2f57295f4d749d5ae4f28f110a12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Genome-Wide Association Study
116 rdf:type schema:DefinedTerm
117 N2e358c5e09ee469cbe6ff6e9c710aeb4 schema:volumeNumber 15
118 rdf:type schema:PublicationVolume
119 N3291f3abe24845b5b48f7bfe145ca20d rdf:first sg:person.012320612204.24
120 rdf:rest Na826b2707b0d454daec8ca2c45e6f103
121 N3da30bca3cb14baeb19a058a511f4c88 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Animals
123 rdf:type schema:DefinedTerm
124 N471c5cb85f874ce291c72e49de10a08d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Haplotypes
126 rdf:type schema:DefinedTerm
127 N58942b2fe59d418b9083a21aae382c51 schema:name pubmed_id
128 schema:value 24628878
129 rdf:type schema:PropertyValue
130 N68986649fd734a1daf560b7a92105498 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Phenotype
132 rdf:type schema:DefinedTerm
133 N6ab806fce8b042b4b756209d3ca7f821 schema:name readcube_id
134 schema:value 6bd11cfbafcfcb91ce9383209e1b358499158a2aea4f4f5b44994258b8176dcf
135 rdf:type schema:PropertyValue
136 N7d9b94616ccd44f8b9b2e301e4d474f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Polymorphism, Single Nucleotide
138 rdf:type schema:DefinedTerm
139 N7f0bef4df5334ae0963dd59b9b986017 schema:name doi
140 schema:value 10.1186/1471-2164-15-197
141 rdf:type schema:PropertyValue
142 N833889db83bc4284bed71612ccda57c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Rats
144 rdf:type schema:DefinedTerm
145 N892bf827093047189b75e3ec368bd39f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Quantitative Trait Loci
147 rdf:type schema:DefinedTerm
148 N8e1234ce305b4ae4ac0634b67acb4f43 schema:name dimensions_id
149 schema:value pub.1022630899
150 rdf:type schema:PropertyValue
151 N8f55e2599e4241afb6790431aaaab792 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Male
153 rdf:type schema:DefinedTerm
154 N98ceb904c8684a4a8ded32a15f6011c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Metabolic Syndrome
156 rdf:type schema:DefinedTerm
157 Na4bfa14684984e148225c17de53cac00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Disease Models, Animal
159 rdf:type schema:DefinedTerm
160 Na826b2707b0d454daec8ca2c45e6f103 rdf:first sg:person.0735314510.07
161 rdf:rest Nbb8f7f0fde504d4dacac3d40e6616804
162 Naf784a86d3fd4e2389a37799b744f6d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Genomics
164 rdf:type schema:DefinedTerm
165 Nbb8f7f0fde504d4dacac3d40e6616804 rdf:first sg:person.015537525157.40
166 rdf:rest Ncab3ad50a5fd499888882d47926462b1
167 Nc1db97e78ba8441b8b5afdb63f0d45f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Chromosome Mapping
169 rdf:type schema:DefinedTerm
170 Ncab3ad50a5fd499888882d47926462b1 rdf:first sg:person.01157717070.96
171 rdf:rest rdf:nil
172 Nccfe945cdd4a49568c8d74db8621d34e schema:name Springer Nature - SN SciGraph project
173 rdf:type schema:Organization
174 Ncd105ce9667b43df863cf6d66ac0daff schema:name nlm_unique_id
175 schema:value 100965258
176 rdf:type schema:PropertyValue
177 Nd89bd06361af41eb94ebac0ac6f2715e schema:issueNumber 1
178 rdf:type schema:PublicationIssue
179 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
180 schema:name Biological Sciences
181 rdf:type schema:DefinedTerm
182 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
183 schema:name Genetics
184 rdf:type schema:DefinedTerm
185 sg:grant.2439094 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-15-197
186 rdf:type schema:MonetaryGrant
187 sg:grant.2541728 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-15-197
188 rdf:type schema:MonetaryGrant
189 sg:grant.2609771 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-15-197
190 rdf:type schema:MonetaryGrant
191 sg:grant.2785144 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-15-197
192 rdf:type schema:MonetaryGrant
193 sg:journal.1023790 schema:issn 1471-2164
194 schema:name BMC Genomics
195 rdf:type schema:Periodical
196 sg:person.01157717070.96 schema:affiliation https://www.grid.ac/institutes/grid.214572.7
197 schema:familyName Kwitek
198 schema:givenName Anne E
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157717070.96
200 rdf:type schema:Person
201 sg:person.012320612204.24 schema:affiliation https://www.grid.ac/institutes/grid.214572.7
202 schema:familyName Ma
203 schema:givenName Man Chun John
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012320612204.24
205 rdf:type schema:Person
206 sg:person.015537525157.40 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
207 schema:familyName Aitman
208 schema:givenName Timothy J
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015537525157.40
210 rdf:type schema:Person
211 sg:person.0735314510.07 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
212 schema:familyName Atanur
213 schema:givenName Santosh S
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735314510.07
215 rdf:type schema:Person
216 sg:pub.10.1007/s00335-002-2204-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037894697
217 https://doi.org/10.1007/s00335-002-2204-5
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/s00335-010-9285-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006919114
220 https://doi.org/10.1007/s00335-010-9285-3
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s11033-010-9962-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024248576
223 https://doi.org/10.1007/s11033-010-9962-z
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s11906-001-0072-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030999835
226 https://doi.org/10.1007/s11906-001-0072-0
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/46794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052367675
229 https://doi.org/10.1038/46794
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/nature01252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031915691
232 https://doi.org/10.1038/nature01252
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/nature02426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048338096
235 https://doi.org/10.1038/nature02426
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/nature10814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039812741
238 https://doi.org/10.1038/nature10814
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/nature11837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027231457
241 https://doi.org/10.1038/nature11837
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/ng.124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046733386
244 https://doi.org/10.1038/ng.124
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/ng.806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010244476
247 https://doi.org/10.1038/ng.806
248 rdf:type schema:CreativeWork
249 sg:pub.10.1038/ng1551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017863724
250 https://doi.org/10.1038/ng1551
251 rdf:type schema:CreativeWork
252 sg:pub.10.1038/nmeth0410-248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007489634
253 https://doi.org/10.1038/nmeth0410-248
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/1471-2105-13-134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046135038
256 https://doi.org/10.1186/1471-2105-13-134
257 rdf:type schema:CreativeWork
258 sg:pub.10.1186/1471-2350-8-s1-s16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020787825
259 https://doi.org/10.1186/1471-2350-8-s1-s16
260 rdf:type schema:CreativeWork
261 sg:pub.10.1186/1471-2350-8-s1-s18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010750098
262 https://doi.org/10.1186/1471-2350-8-s1-s18
263 rdf:type schema:CreativeWork
264 sg:pub.10.1186/1471-2350-8-s1-s2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050598687
265 https://doi.org/10.1186/1471-2350-8-s1-s2
266 rdf:type schema:CreativeWork
267 sg:pub.10.1186/1471-2350-8-s1-s5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026323322
268 https://doi.org/10.1186/1471-2350-8-s1-s5
269 rdf:type schema:CreativeWork
270 sg:pub.10.1186/1472-6823-13-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018568482
271 https://doi.org/10.1186/1472-6823-13-12
272 rdf:type schema:CreativeWork
273 sg:pub.10.1186/1755-8166-2-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019249923
274 https://doi.org/10.1186/1755-8166-2-5
275 rdf:type schema:CreativeWork
276 https://app.dimensions.ai/details/publication/pub.1077936166 schema:CreativeWork
277 https://app.dimensions.ai/details/publication/pub.1080542796 schema:CreativeWork
278 https://doi.org/10.1001/jama.295.13.1549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029260331
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1002/dev.20497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049999022
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1002/dvg.20320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020520859
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/0040-5809(75)90020-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014149434
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.cell.2013.06.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045666676
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.nlm.2012.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032418971
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.ygeno.2010.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032611787
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/s0040-5809(03)00005-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032859960
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1038/emboj.2011.260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035987728
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1073/pnas.190332597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004688740
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1084/jem.178.6.2219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047869067
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1093/bib/bbt007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045636795
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1093/bioinformatics/btm455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005388431
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1093/bioinformatics/btq033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036892131
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1093/bioinformatics/btq330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047117020
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1093/database/bar030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032299006
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1093/molbev/msq148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046307020
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1093/nar/gkr981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027264776
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1093/nar/gkr991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046109917
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1096/fj.02-0486fje schema:sameAs https://app.dimensions.ai/details/publication/pub.1034652681
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1097/00004872-199311000-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005913444
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1097/00004872-199604000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002580149
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1097/00005344-198109000-00011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023874911
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1097/hjh.0b013e328329e4c0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035845306
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1101/gr.103499.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047946706
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1101/gr.107524.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096953
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1111/j.1365-2605.2010.01076.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042866454
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1111/j.1420-9101.2009.01698.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039815843
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1111/j.1467-7652.2011.00676.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027846584
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1152/ajpheart.1986.251.6.h1111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079952894
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1152/physiolgenomics.00262.2007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049650916
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1161/01.hyp.0000018910.74377.93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004970763
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1161/01.hyp.0000144542.57306.5e schema:sameAs https://app.dimensions.ai/details/publication/pub.1019054003
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1161/01.hyp.8.11.1021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045827670
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1161/circgenetics.110.958934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024481951
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1161/circulationaha.105.171600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016289361
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1161/circulationaha.108.786533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033530766
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1161/circulationaha.109.192644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011029623
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1371/journal.pone.0058550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009416680
357 rdf:type schema:CreativeWork
358 https://doi.org/10.2337/db10-1743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012247366
359 rdf:type schema:CreativeWork
360 https://doi.org/10.2337/db11-0174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006877113
361 rdf:type schema:CreativeWork
362 https://doi.org/10.2527/2003.81122976x schema:sameAs https://app.dimensions.ai/details/publication/pub.1070882265
363 rdf:type schema:CreativeWork
364 https://www.grid.ac/institutes/grid.214572.7 schema:alternateName University of Iowa
365 schema:name Department of Pharmacology, University of Iowa, Iowa City, IA, USA
366 Iowa Institute of Human Genetics, Department of Pharmacology, Internal Medicine, Molecular Physiology & Biophysics, University of Iowa, 3111B MERF, 375 Newton Rd, 52242, Iowa City, IA, USA
367 rdf:type schema:Organization
368 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
369 schema:name Physiological Genomic and Medicine group, MRC Clinical Sciences Centre, Imperial College London, Hammersmith Campus, London, UK
370 rdf:type schema:Organization
 




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


...