2005-2011
FUNDING AMOUNT4598203 GBP
ABSTRACTType 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... »
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
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 |