Evaluation of DOK5 as a susceptibility gene for type 2 diabetes and obesity in North Indian population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Rubina Tabassum, Anubha Mahajan, Ganesh Chauhan, Om Prakash Dwivedi, Saurabh Ghosh, Nikhil Tandon, Dwaipayan Bharadwaj

ABSTRACT

BACKGROUND: Type 2 diabetes is a complex metabolic disorder with obesity being a major contributing factor in its development. Susceptibility loci for type 2 diabetes and obesity have been localized on different chromosomal regions by various genome-wide linkage scans. Of these chromosomal regions, 20q13 is one of the strongest linked regions for type 2 diabetes as well as obesity. On 20q13 lies DOK5 that seems to be a strong functional and positional candidate for type 2 diabetes and obesity because of its involvement in insulin signaling and immune responses. Hence, for the first time, we explored DOK5 as a potential type 2 diabetes and obesity susceptibility gene. METHODS: We sequenced 43 subjects for polymorphisms in functionally relevant regions of DOK5. A total of 10 SNPs that included 5 that were identified by sequencing and 5 additional SNPs from NCBI Variation Database were genotyped in 2,115 participants comprising of 1,073 patients with type 2 diabetes and 1,042 controls of Indo-European ethnicity from North India. RESULTS: We identified a novel variant in intron 7 referred to as DK176673. We found nominal association of three SNPs-rs6064099 (OR = 0.75, P = 0.019), rs873079 (OR = 0.76, P = 0.036) and DK176673 (OR = 1.55, P = 0.037) with type 2 diabetes among normal-weight subjects [BMI < 23 kg/m2]. The haplotype GGC harboring rs6068916, rs6064099 and rs873079 showed strong association with type 2 diabetes among normal-weight subjects (OR = 1.37, P/Pperm = 5.8 x 10-3/0.037). Association analysis with obesity revealed that rs6064099 is associated with reduced susceptibility for obesity (OR = 0.48, P = 6.8 x 10-3). Also, haplotype GGC conferred increased susceptibility for obesity (OR = 1.27, P/Pperm = 9.0 x 10-3/0.039). Also, rs6064099 was significantly associated with reduced BMI [median(IQR) = 24.0(20.7-27.1) vs 23.9(20.2-26.8) vs 21.8(19.2-24.7) for GG vs GC vs CC, P = 7.0 x 10-3]. CONCLUSIONS: We identified DOK5 as a novel susceptibility gene for obesity and type 2 diabetes in North Indian subjects. Association of DOK5 variants both with obesity and type 2 diabetes suggests that these variants might modulate type 2 diabetes susceptibility through obesity. More... »

PAGES

35

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2350-11-35

DOI

http://dx.doi.org/10.1186/1471-2350-11-35

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013925935

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20187968


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adaptor Proteins, Signal Transducing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosomes, Human, Pair 20", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 2", 
        "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": "India", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Genomics and Integrative Biology", 
          "id": "https://www.grid.ac/institutes/grid.417639.e", 
          "name": [
            "Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tabassum", 
        "givenName": "Rubina", 
        "id": "sg:person.0741777355.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741777355.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Genomics and Integrative Biology", 
          "id": "https://www.grid.ac/institutes/grid.417639.e", 
          "name": [
            "Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mahajan", 
        "givenName": "Anubha", 
        "id": "sg:person.01047662664.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047662664.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Genomics and Integrative Biology", 
          "id": "https://www.grid.ac/institutes/grid.417639.e", 
          "name": [
            "Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chauhan", 
        "givenName": "Ganesh", 
        "id": "sg:person.01124341155.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124341155.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Genomics and Integrative Biology", 
          "id": "https://www.grid.ac/institutes/grid.417639.e", 
          "name": [
            "Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dwivedi", 
        "givenName": "Om Prakash", 
        "id": "sg:person.01056225755.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056225755.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Statistical Institute", 
          "id": "https://www.grid.ac/institutes/grid.39953.35", 
          "name": [
            "Human Genetics Unit, Indian Statistical Institute, 700 108, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghosh", 
        "givenName": "Saurabh", 
        "id": "sg:person.015447717122.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015447717122.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "All India Institute of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.413618.9", 
          "name": [
            "Department of Endocrinology, All India Institute of Medical Sciences, 110 029, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tandon", 
        "givenName": "Nikhil", 
        "id": "sg:person.01065763220.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065763220.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Genomics and Integrative Biology", 
          "id": "https://www.grid.ac/institutes/grid.417639.e", 
          "name": [
            "Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bharadwaj", 
        "givenName": "Dwaipayan", 
        "id": "sg:person.01014774230.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014774230.18"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2337/diacare.26.11.3160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000896838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250051649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002091653", 
          "https://doi.org/10.1007/s001250051649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250051649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002091653", 
          "https://doi.org/10.1007/s001250051649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.gene.6363891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003307688", 
          "https://doi.org/10.1038/sj.gene.6363891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.gene.6363891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003307688", 
          "https://doi.org/10.1038/sj.gene.6363891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-008-0335-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005152163", 
          "https://doi.org/10.1007/s10038-008-0335-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(97)00074-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005430937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006325160", 
          "https://doi.org/10.1038/ng.120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.4.1247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007529979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00109-010-0594-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007877110", 
          "https://doi.org/10.1007/s00109-010-0594-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00109-010-0594-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007877110", 
          "https://doi.org/10.1007/s00109-010-0594-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008081196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0020215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010472226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/6.9.1401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013696305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004390100581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013729561", 
          "https://doi.org/10.1007/s004390100581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004390100581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013729561", 
          "https://doi.org/10.1007/s004390100581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11568-009-9031-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014590343", 
          "https://doi.org/10.1007/s11568-009-9031-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0908-1039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019163574", 
          "https://doi.org/10.1038/ng0908-1039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(03)15268-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023338164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci119637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023804932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.50.3.681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027329664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.53.3.838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029097297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.26.2007.s5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029719438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2350-9-45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029731010", 
          "https://doi.org/10.1186/1471-2350-9-45"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m212430200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034122167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12041-008-0002-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034600932", 
          "https://doi.org/10.1007/s12041-008-0002-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.5.2198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045981670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.49.12.2212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048051484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052726371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052726371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/302195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058609779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.46.5.876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070738195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.46.5.882", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070738196"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: Type 2 diabetes is a complex metabolic disorder with obesity being a major contributing factor in its development. Susceptibility loci for type 2 diabetes and obesity have been localized on different chromosomal regions by various genome-wide linkage scans. Of these chromosomal regions, 20q13 is one of the strongest linked regions for type 2 diabetes as well as obesity. On 20q13 lies DOK5 that seems to be a strong functional and positional candidate for type 2 diabetes and obesity because of its involvement in insulin signaling and immune responses. Hence, for the first time, we explored DOK5 as a potential type 2 diabetes and obesity susceptibility gene.\nMETHODS: We sequenced 43 subjects for polymorphisms in functionally relevant regions of DOK5. A total of 10 SNPs that included 5 that were identified by sequencing and 5 additional SNPs from NCBI Variation Database were genotyped in 2,115 participants comprising of 1,073 patients with type 2 diabetes and 1,042 controls of Indo-European ethnicity from North India.\nRESULTS: We identified a novel variant in intron 7 referred to as DK176673. We found nominal association of three SNPs-rs6064099 (OR = 0.75, P = 0.019), rs873079 (OR = 0.76, P = 0.036) and DK176673 (OR = 1.55, P = 0.037) with type 2 diabetes among normal-weight subjects [BMI < 23 kg/m2]. The haplotype GGC harboring rs6068916, rs6064099 and rs873079 showed strong association with type 2 diabetes among normal-weight subjects (OR = 1.37, P/Pperm = 5.8 x 10-3/0.037). Association analysis with obesity revealed that rs6064099 is associated with reduced susceptibility for obesity (OR = 0.48, P = 6.8 x 10-3). Also, haplotype GGC conferred increased susceptibility for obesity (OR = 1.27, P/Pperm = 9.0 x 10-3/0.039). Also, rs6064099 was significantly associated with reduced BMI [median(IQR) = 24.0(20.7-27.1) vs 23.9(20.2-26.8) vs 21.8(19.2-24.7) for GG vs GC vs CC, P = 7.0 x 10-3].\nCONCLUSIONS: We identified DOK5 as a novel susceptibility gene for obesity and type 2 diabetes in North Indian subjects. Association of DOK5 variants both with obesity and type 2 diabetes suggests that these variants might modulate type 2 diabetes susceptibility through obesity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2350-11-35", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024947", 
        "issn": [
          "1471-2350"
        ], 
        "name": "BMC Medical Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Evaluation of DOK5 as a susceptibility gene for type 2 diabetes and obesity in North Indian population", 
    "pagination": "35", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4256cf5ece6e9c12234fcdaac9491e0d5b35e7dfa92286719d33f457be872065"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20187968"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968552"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2350-11-35"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013925935"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2350-11-35", 
      "https://app.dimensions.ai/details/publication/pub.1013925935"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:18", 
    "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_8675_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2350-11-35"
  }
]
 

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.10.1186/1471-2350-11-35'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2350-11-35'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2350-11-35'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2350-11-35'


 

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

257 TRIPLES      21 PREDICATES      69 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2350-11-35 schema:about N0e075bd417994adebfe6a88063202559
2 N2a416cbb2a05484cb23c142afeb93732
3 N57e8bbdad95c4518807fdddc0f66338e
4 N7b582bc2d81e4b36b689573f88c2aab5
5 N7c7331a5bbba4eee991f6519e569a38e
6 N9c1cc4c3026d49e69e7b69c61e0c7144
7 Nb3704e58464a4602a1fec4f589bf98cb
8 Nc99a1b2fbf06420cb171d4714f37254e
9 Nda82baf8dc824a3b93e63eb3bcfef3d9
10 Nec46eeaa34074ae4992744a1cf3a6c4a
11 anzsrc-for:11
12 anzsrc-for:1103
13 schema:author N7b62b81ba1f1429e9f3fba041c09d386
14 schema:citation sg:pub.10.1007/s00109-010-0594-5
15 sg:pub.10.1007/s001250051649
16 sg:pub.10.1007/s00439-005-0009-9
17 sg:pub.10.1007/s004390100581
18 sg:pub.10.1007/s10038-008-0335-6
19 sg:pub.10.1007/s11568-009-9031-7
20 sg:pub.10.1007/s12041-008-0002-x
21 sg:pub.10.1038/ng.120
22 sg:pub.10.1038/ng0908-1039
23 sg:pub.10.1038/sj.gene.6363891
24 sg:pub.10.1186/1471-2350-9-45
25 https://doi.org/10.1016/s0140-6736(03)15268-3
26 https://doi.org/10.1016/s0197-2456(97)00074-3
27 https://doi.org/10.1073/pnas.96.5.2198
28 https://doi.org/10.1074/jbc.m212430200
29 https://doi.org/10.1086/302195
30 https://doi.org/10.1086/519795
31 https://doi.org/10.1093/bioinformatics/bth457
32 https://doi.org/10.1093/bioinformatics/bti633
33 https://doi.org/10.1093/hmg/6.9.1401
34 https://doi.org/10.1172/jci119637
35 https://doi.org/10.1371/journal.pgen.0020215
36 https://doi.org/10.2337/diab.46.5.876
37 https://doi.org/10.2337/diab.46.5.882
38 https://doi.org/10.2337/diabetes.49.12.2212
39 https://doi.org/10.2337/diabetes.50.3.681
40 https://doi.org/10.2337/diabetes.51.4.1247
41 https://doi.org/10.2337/diabetes.53.3.838
42 https://doi.org/10.2337/diacare.26.11.3160
43 https://doi.org/10.2337/diacare.26.2007.s5
44 schema:datePublished 2010-12
45 schema:datePublishedReg 2010-12-01
46 schema:description BACKGROUND: Type 2 diabetes is a complex metabolic disorder with obesity being a major contributing factor in its development. Susceptibility loci for type 2 diabetes and obesity have been localized on different chromosomal regions by various genome-wide linkage scans. Of these chromosomal regions, 20q13 is one of the strongest linked regions for type 2 diabetes as well as obesity. On 20q13 lies DOK5 that seems to be a strong functional and positional candidate for type 2 diabetes and obesity because of its involvement in insulin signaling and immune responses. Hence, for the first time, we explored DOK5 as a potential type 2 diabetes and obesity susceptibility gene. METHODS: We sequenced 43 subjects for polymorphisms in functionally relevant regions of DOK5. A total of 10 SNPs that included 5 that were identified by sequencing and 5 additional SNPs from NCBI Variation Database were genotyped in 2,115 participants comprising of 1,073 patients with type 2 diabetes and 1,042 controls of Indo-European ethnicity from North India. RESULTS: We identified a novel variant in intron 7 referred to as DK176673. We found nominal association of three SNPs-rs6064099 (OR = 0.75, P = 0.019), rs873079 (OR = 0.76, P = 0.036) and DK176673 (OR = 1.55, P = 0.037) with type 2 diabetes among normal-weight subjects [BMI < 23 kg/m2]. The haplotype GGC harboring rs6068916, rs6064099 and rs873079 showed strong association with type 2 diabetes among normal-weight subjects (OR = 1.37, P/Pperm = 5.8 x 10-3/0.037). Association analysis with obesity revealed that rs6064099 is associated with reduced susceptibility for obesity (OR = 0.48, P = 6.8 x 10-3). Also, haplotype GGC conferred increased susceptibility for obesity (OR = 1.27, P/Pperm = 9.0 x 10-3/0.039). Also, rs6064099 was significantly associated with reduced BMI [median(IQR) = 24.0(20.7-27.1) vs 23.9(20.2-26.8) vs 21.8(19.2-24.7) for GG vs GC vs CC, P = 7.0 x 10-3]. CONCLUSIONS: We identified DOK5 as a novel susceptibility gene for obesity and type 2 diabetes in North Indian subjects. Association of DOK5 variants both with obesity and type 2 diabetes suggests that these variants might modulate type 2 diabetes susceptibility through obesity.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N495c86c508544c0098ddab0812048175
51 N97ba7469102643c5900dd6ec6d41b52d
52 sg:journal.1024947
53 schema:name Evaluation of DOK5 as a susceptibility gene for type 2 diabetes and obesity in North Indian population
54 schema:pagination 35
55 schema:productId N3c59c934ff4a49f69e25a71521df4fce
56 N87868a1b2f254dac94eaba8f06ce06f8
57 Nac20f25e8b834fd280ead8ac7af191f8
58 Nbd1e68d902924d199af118f289ce7697
59 Nbe3332e0f28747ac9fcc936b23dc9570
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013925935
61 https://doi.org/10.1186/1471-2350-11-35
62 schema:sdDatePublished 2019-04-10T18:18
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher Nebd5d54021c041cd91c1a2067d046f41
65 schema:url http://link.springer.com/10.1186%2F1471-2350-11-35
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N0e075bd417994adebfe6a88063202559 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Humans
71 rdf:type schema:DefinedTerm
72 N2a416cbb2a05484cb23c142afeb93732 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Chromosomes, Human, Pair 20
74 rdf:type schema:DefinedTerm
75 N3c59c934ff4a49f69e25a71521df4fce schema:name nlm_unique_id
76 schema:value 100968552
77 rdf:type schema:PropertyValue
78 N495c86c508544c0098ddab0812048175 schema:volumeNumber 11
79 rdf:type schema:PublicationVolume
80 N57e8bbdad95c4518807fdddc0f66338e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Diabetes Mellitus, Type 2
82 rdf:type schema:DefinedTerm
83 N76f739683ab04c0593be9438cffc3b5f rdf:first sg:person.015447717122.15
84 rdf:rest Nb042cb51a7534185aa0d72424f7e0adb
85 N7b582bc2d81e4b36b689573f88c2aab5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Obesity
87 rdf:type schema:DefinedTerm
88 N7b62b81ba1f1429e9f3fba041c09d386 rdf:first sg:person.0741777355.51
89 rdf:rest Nf52a605591c540c6936120da1d562ced
90 N7c7331a5bbba4eee991f6519e569a38e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Genetic Predisposition to Disease
92 rdf:type schema:DefinedTerm
93 N87868a1b2f254dac94eaba8f06ce06f8 schema:name pubmed_id
94 schema:value 20187968
95 rdf:type schema:PropertyValue
96 N8cd256e80d2745298a5caa013b0d0df4 rdf:first sg:person.01014774230.18
97 rdf:rest rdf:nil
98 N97ba7469102643c5900dd6ec6d41b52d schema:issueNumber 1
99 rdf:type schema:PublicationIssue
100 N996a837ab4284c629e879f40b8baf254 rdf:first sg:person.01056225755.70
101 rdf:rest N76f739683ab04c0593be9438cffc3b5f
102 N9c1cc4c3026d49e69e7b69c61e0c7144 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name India
104 rdf:type schema:DefinedTerm
105 Nac20f25e8b834fd280ead8ac7af191f8 schema:name dimensions_id
106 schema:value pub.1013925935
107 rdf:type schema:PropertyValue
108 Nb042cb51a7534185aa0d72424f7e0adb rdf:first sg:person.01065763220.52
109 rdf:rest N8cd256e80d2745298a5caa013b0d0df4
110 Nb3704e58464a4602a1fec4f589bf98cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Polymorphism, Single Nucleotide
112 rdf:type schema:DefinedTerm
113 Nbd1e68d902924d199af118f289ce7697 schema:name doi
114 schema:value 10.1186/1471-2350-11-35
115 rdf:type schema:PropertyValue
116 Nbe3332e0f28747ac9fcc936b23dc9570 schema:name readcube_id
117 schema:value 4256cf5ece6e9c12234fcdaac9491e0d5b35e7dfa92286719d33f457be872065
118 rdf:type schema:PropertyValue
119 Nc99a1b2fbf06420cb171d4714f37254e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Polymorphism, Genetic
121 rdf:type schema:DefinedTerm
122 Nda82baf8dc824a3b93e63eb3bcfef3d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Adaptor Proteins, Signal Transducing
124 rdf:type schema:DefinedTerm
125 Nebd5d54021c041cd91c1a2067d046f41 schema:name Springer Nature - SN SciGraph project
126 rdf:type schema:Organization
127 Nec46eeaa34074ae4992744a1cf3a6c4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Case-Control Studies
129 rdf:type schema:DefinedTerm
130 Nf3c9f0a4fa4f466cb06b843bdc96fe18 rdf:first sg:person.01124341155.95
131 rdf:rest N996a837ab4284c629e879f40b8baf254
132 Nf52a605591c540c6936120da1d562ced rdf:first sg:person.01047662664.02
133 rdf:rest Nf3c9f0a4fa4f466cb06b843bdc96fe18
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
138 schema:name Clinical Sciences
139 rdf:type schema:DefinedTerm
140 sg:journal.1024947 schema:issn 1471-2350
141 schema:name BMC Medical Genetics
142 rdf:type schema:Periodical
143 sg:person.01014774230.18 schema:affiliation https://www.grid.ac/institutes/grid.417639.e
144 schema:familyName Bharadwaj
145 schema:givenName Dwaipayan
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014774230.18
147 rdf:type schema:Person
148 sg:person.01047662664.02 schema:affiliation https://www.grid.ac/institutes/grid.417639.e
149 schema:familyName Mahajan
150 schema:givenName Anubha
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047662664.02
152 rdf:type schema:Person
153 sg:person.01056225755.70 schema:affiliation https://www.grid.ac/institutes/grid.417639.e
154 schema:familyName Dwivedi
155 schema:givenName Om Prakash
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056225755.70
157 rdf:type schema:Person
158 sg:person.01065763220.52 schema:affiliation https://www.grid.ac/institutes/grid.413618.9
159 schema:familyName Tandon
160 schema:givenName Nikhil
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065763220.52
162 rdf:type schema:Person
163 sg:person.01124341155.95 schema:affiliation https://www.grid.ac/institutes/grid.417639.e
164 schema:familyName Chauhan
165 schema:givenName Ganesh
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124341155.95
167 rdf:type schema:Person
168 sg:person.015447717122.15 schema:affiliation https://www.grid.ac/institutes/grid.39953.35
169 schema:familyName Ghosh
170 schema:givenName Saurabh
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015447717122.15
172 rdf:type schema:Person
173 sg:person.0741777355.51 schema:affiliation https://www.grid.ac/institutes/grid.417639.e
174 schema:familyName Tabassum
175 schema:givenName Rubina
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741777355.51
177 rdf:type schema:Person
178 sg:pub.10.1007/s00109-010-0594-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007877110
179 https://doi.org/10.1007/s00109-010-0594-5
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s001250051649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002091653
182 https://doi.org/10.1007/s001250051649
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s00439-005-0009-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005371072
185 https://doi.org/10.1007/s00439-005-0009-9
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/s004390100581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013729561
188 https://doi.org/10.1007/s004390100581
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s10038-008-0335-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005152163
191 https://doi.org/10.1007/s10038-008-0335-6
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s11568-009-9031-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014590343
194 https://doi.org/10.1007/s11568-009-9031-7
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s12041-008-0002-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034600932
197 https://doi.org/10.1007/s12041-008-0002-x
198 rdf:type schema:CreativeWork
199 sg:pub.10.1038/ng.120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006325160
200 https://doi.org/10.1038/ng.120
201 rdf:type schema:CreativeWork
202 sg:pub.10.1038/ng0908-1039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019163574
203 https://doi.org/10.1038/ng0908-1039
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/sj.gene.6363891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003307688
206 https://doi.org/10.1038/sj.gene.6363891
207 rdf:type schema:CreativeWork
208 sg:pub.10.1186/1471-2350-9-45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029731010
209 https://doi.org/10.1186/1471-2350-9-45
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/s0140-6736(03)15268-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023338164
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/s0197-2456(97)00074-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005430937
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1073/pnas.96.5.2198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045981670
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1074/jbc.m212430200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034122167
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1086/302195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058609779
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1093/bioinformatics/bth457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008081196
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1093/bioinformatics/bti633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052726371
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1093/hmg/6.9.1401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013696305
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1172/jci119637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023804932
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1371/journal.pgen.0020215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010472226
232 rdf:type schema:CreativeWork
233 https://doi.org/10.2337/diab.46.5.876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070738195
234 rdf:type schema:CreativeWork
235 https://doi.org/10.2337/diab.46.5.882 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070738196
236 rdf:type schema:CreativeWork
237 https://doi.org/10.2337/diabetes.49.12.2212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048051484
238 rdf:type schema:CreativeWork
239 https://doi.org/10.2337/diabetes.50.3.681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027329664
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2337/diabetes.51.4.1247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007529979
242 rdf:type schema:CreativeWork
243 https://doi.org/10.2337/diabetes.53.3.838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029097297
244 rdf:type schema:CreativeWork
245 https://doi.org/10.2337/diacare.26.11.3160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000896838
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2337/diacare.26.2007.s5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029719438
248 rdf:type schema:CreativeWork
249 https://www.grid.ac/institutes/grid.39953.35 schema:alternateName Indian Statistical Institute
250 schema:name Human Genetics Unit, Indian Statistical Institute, 700 108, Kolkata, India
251 rdf:type schema:Organization
252 https://www.grid.ac/institutes/grid.413618.9 schema:alternateName All India Institute of Medical Sciences
253 schema:name Department of Endocrinology, All India Institute of Medical Sciences, 110 029, New Delhi, India
254 rdf:type schema:Organization
255 https://www.grid.ac/institutes/grid.417639.e schema:alternateName Institute of Genomics and Integrative Biology
256 schema:name Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), 110 007, Delhi, India
257 rdf:type schema:Organization
 




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


...