JDRF/WT Diabetes and Inflammation Laboratory.


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2005-2011

FUNDING AMOUNT

4598203 GBP

ABSTRACT

Type 1 diabetes (T1DM) is a common disease (0.4% population frequency; UK incidence 15-20 cases/100,0000/yr) that accounts for significant mortality, morbidity and healthcare costs, particularly owing to its complications such as cardiovascular disease (CVD), nephropathy (DN), retinopathy and neuropathy. Susceptibility to, or protection from, T1DM and DN is determined by an interaction between many genes and the environment. If we could identify the key genes and their pathways involved in this chronic inflammation of the pancreatic islets, then we could categorise at-risk subjects or patients according to genotype, and therefore, according to the underlying mechanisms of the disease. The starting point for the launch of this pharmacogenetic approach to the diagnosis, prognosis, treatment and prevention of diabetes and its complications is the identification in animal and human studies of the disease-associated genes and their functions. The latest technologies in genetics, RNA expression, protein analysis, cell biology, statistics, and in vivo imaging will be applied in a fully integrated way in a multidisciplinary environment. More... »

Related SciGraph Publications

  • 2015-12. Machine learning derived risk prediction of anorexia nervosa in BMC MEDICAL GENOMICS
  • 2014-02. Plasma concentrations of soluble IL-2 receptor α (CD25) are increased in type 1 diabetes and associated with reduced C-peptide levels in young patients in DIABETOLOGIA
  • 2012-07. Genetic association of zinc transporter 8 (ZnT8) autoantibodies in type 1 diabetes cases in DIABETOLOGIA
  • 2010-09. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk in NATURE
  • 2009-12. Overview of the Type I Diabetes Genetics Consortium in GENES & IMMUNITY
  • 2009-12. Analysis of 55 autoimmune disease and type II diabetes loci: further confirmation of chromosomes 4q27, 12q13.2 and 12q24.13 as type I diabetes loci, and support for a new locus, 12q13.3–q14.1 in GENES & IMMUNITY
  • 2009-10. Experimental aspects of copy number variant assays at CCL3L1 in NATURE MEDICINE
  • 2009-06. Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes in NATURE GENETICS
  • 2009-06. Genome-wide and fine-resolution association analysis of malaria in West Africa in NATURE GENETICS
  • 2007-10. Analysis of the obesity gene FTO in 14,803 type 1 diabetes cases and controls in DIABETOLOGIA
  • 2007-07. Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes in NATURE GENETICS
  • 2007-04. A type 1 diabetes subgroup with a female bias is characterised by failure in tolerance to thyroid peroxidase at an early age and a strong association with the cytotoxic T-lymphocyte-associated antigen-4 gene in DIABETOLOGIA
  • 2007-01. Analysis of the type 2 diabetes gene, TCF7L2, in 13,795 type 1 diabetes cases and control subjects in DIABETOLOGIA
  • 2003-05. IDDM2/insulin VNTR modifies risk conferred by IDDM1/HLA for development of Type 1 diabetes and associated autoimmunity in DIABETOLOGIA
  • 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/2008/2211", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "type": "DefinedTerm"
          }
        ], 
        "amount": {
          "currency": "GBP", 
          "type": "MonetaryAmount", 
          "value": "4598203"
        }, 
        "description": "Type 1 diabetes (T1DM) is a common disease (0.4% population frequency; UK incidence 15-20 cases/100,0000/yr) that accounts for significant mortality, morbidity and healthcare costs, particularly owing to its complications such as cardiovascular disease (CVD), nephropathy (DN), retinopathy and neuropathy. Susceptibility to, or protection from, T1DM and DN is determined by an interaction between many genes and the environment. If we could identify the key genes and their pathways involved in this chronic inflammation of the pancreatic islets, then we could categorise at-risk subjects or patients according to genotype, and therefore, according to the underlying mechanisms of the disease. The starting point for the launch of this pharmacogenetic approach to the diagnosis, prognosis, treatment and prevention of diabetes and its complications is the identification in animal and human studies of the disease-associated genes and their functions. The latest technologies in genetics, RNA expression, protein analysis, cell biology, statistics, and in vivo imaging will be applied in a fully integrated way in a multidisciplinary environment.", 
        "endDate": "2011-03-31T00:00:00Z", 
        "funder": {
          "id": "https://www.grid.ac/institutes/grid.52788.30", 
          "type": "Organization"
        }, 
        "id": "sg:grant.3629215", 
        "identifier": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "3629215"
            ]
          }, 
          {
            "name": "wt_id", 
            "type": "PropertyValue", 
            "value": [
              "061858/Z/00/E"
            ]
          }
        ], 
        "inLanguage": [
          "en"
        ], 
        "keywords": [
          "identification", 
          "genetics", 
          "genes", 
          "healthcare costs", 
          "vivo imaging", 
          "UK incidence 15", 
          "DN", 
          "complications", 
          "diagnosis", 
          "statistics", 
          "function", 
          "diabetes", 
          "genotypes", 
          "JDRF/WT Diabetes", 
          "nephropathy", 
          "cell biology", 
          "interaction", 
          "latest technology", 
          "population frequency", 
          "neuropathy", 
          "T1DM", 
          "pathway", 
          "prevention", 
          "risk subjects", 
          "morbidity", 
          "common disease", 
          "pancreatic islets", 
          "retinopathy", 
          "animals", 
          "launch", 
          "RNA expression", 
          "cases/100,0000/yr", 
          "significant mortality", 
          "chronic inflammation", 
          "treatment", 
          "way", 
          "starting point", 
          "disease", 
          "prognosis", 
          "Inflammation Laboratory", 
          "cardiovascular disease", 
          "human studies", 
          "underlying mechanisms", 
          "many genes", 
          "protein analysis", 
          "patients", 
          "key genes", 
          "susceptibility", 
          "environment", 
          "type 1 diabetes", 
          "protection", 
          "pharmacogenetic approach", 
          "multidisciplinary environment"
        ], 
        "name": "JDRF/WT Diabetes and Inflammation Laboratory.", 
        "recipient": [
          {
            "id": "https://www.grid.ac/institutes/grid.5335.0", 
            "type": "Organization"
          }, 
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": "University of Cambridge", 
              "type": "Organization"
            }, 
            "familyName": "Todd", 
            "givenName": "John", 
            "id": "sg:person.01134314703.76", 
            "type": "Person"
          }, 
          {
            "member": "sg:person.01134314703.76", 
            "roleName": "PI", 
            "type": "Role"
          }
        ], 
        "sameAs": [
          "https://app.dimensions.ai/details/grant/grant.3629215"
        ], 
        "sdDataset": "grants", 
        "sdDatePublished": "2021-01-20T04:07", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/wt_projects.xml.gz", 
        "startDate": "2005-10-01T00:00:00Z", 
        "type": "MonetaryGrant"
      }
    ]
     

    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/grant.3629215'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.3629215'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.3629215'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.3629215'


     

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

    96 TRIPLES      18 PREDICATES      74 URIs      66 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:grant.3629215 schema:about anzsrc-for:2211
    2 schema:amount N38f8fbe013c74fcf89f9513f7853852b
    3 schema:description Type 1 diabetes (T1DM) is a common disease (0.4% population frequency; UK incidence 15-20 cases/100,0000/yr) that accounts for significant mortality, morbidity and healthcare costs, particularly owing to its complications such as cardiovascular disease (CVD), nephropathy (DN), retinopathy and neuropathy. Susceptibility to, or protection from, T1DM and DN is determined by an interaction between many genes and the environment. If we could identify the key genes and their pathways involved in this chronic inflammation of the pancreatic islets, then we could categorise at-risk subjects or patients according to genotype, and therefore, according to the underlying mechanisms of the disease. The starting point for the launch of this pharmacogenetic approach to the diagnosis, prognosis, treatment and prevention of diabetes and its complications is the identification in animal and human studies of the disease-associated genes and their functions. The latest technologies in genetics, RNA expression, protein analysis, cell biology, statistics, and in vivo imaging will be applied in a fully integrated way in a multidisciplinary environment.
    4 schema:endDate 2011-03-31T00:00:00Z
    5 schema:funder https://www.grid.ac/institutes/grid.52788.30
    6 schema:identifier N0c25191e724f4149a95890e0919772db
    7 N7bf2552e56c14e33aeb698c20ac19506
    8 schema:inLanguage en
    9 schema:keywords DN
    10 Inflammation Laboratory
    11 JDRF/WT Diabetes
    12 RNA expression
    13 T1DM
    14 UK incidence 15
    15 animals
    16 cardiovascular disease
    17 cases/100,0000/yr
    18 cell biology
    19 chronic inflammation
    20 common disease
    21 complications
    22 diabetes
    23 diagnosis
    24 disease
    25 environment
    26 function
    27 genes
    28 genetics
    29 genotypes
    30 healthcare costs
    31 human studies
    32 identification
    33 interaction
    34 key genes
    35 latest technology
    36 launch
    37 many genes
    38 morbidity
    39 multidisciplinary environment
    40 nephropathy
    41 neuropathy
    42 pancreatic islets
    43 pathway
    44 patients
    45 pharmacogenetic approach
    46 population frequency
    47 prevention
    48 prognosis
    49 protection
    50 protein analysis
    51 retinopathy
    52 risk subjects
    53 significant mortality
    54 starting point
    55 statistics
    56 susceptibility
    57 treatment
    58 type 1 diabetes
    59 underlying mechanisms
    60 vivo imaging
    61 way
    62 schema:name JDRF/WT Diabetes and Inflammation Laboratory.
    63 schema:recipient N19fb72bc6a564971b435f61845bf1741
    64 sg:person.01134314703.76
    65 https://www.grid.ac/institutes/grid.5335.0
    66 schema:sameAs https://app.dimensions.ai/details/grant/grant.3629215
    67 schema:sdDatePublished 2021-01-20T04:07
    68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    69 schema:sdPublisher N7d448f7f3d384696b966fe9f69e2931e
    70 schema:startDate 2005-10-01T00:00:00Z
    71 sgo:license sg:explorer/license/
    72 sgo:sdDataset grants
    73 rdf:type schema:MonetaryGrant
    74 N0c25191e724f4149a95890e0919772db schema:name dimensions_id
    75 schema:value 3629215
    76 rdf:type schema:PropertyValue
    77 N19fb72bc6a564971b435f61845bf1741 schema:member sg:person.01134314703.76
    78 schema:roleName PI
    79 rdf:type schema:Role
    80 N38f8fbe013c74fcf89f9513f7853852b schema:currency GBP
    81 schema:value 4598203
    82 rdf:type schema:MonetaryAmount
    83 N7bf2552e56c14e33aeb698c20ac19506 schema:name wt_id
    84 schema:value 061858/Z/00/E
    85 rdf:type schema:PropertyValue
    86 N7d448f7f3d384696b966fe9f69e2931e schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 anzsrc-for:2211 schema:inDefinedTermSet anzsrc-for:
    89 rdf:type schema:DefinedTerm
    90 sg:person.01134314703.76 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    91 schema:familyName Todd
    92 schema:givenName John
    93 rdf:type schema:Person
    94 https://www.grid.ac/institutes/grid.52788.30 schema:Organization
    95 https://www.grid.ac/institutes/grid.5335.0 schema:name University of Cambridge
    96 rdf:type schema:Organization
     




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


    ...