Associations between interleukin and interleukin receptor gene polymorphisms and risk of gout View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09-24

AUTHORS

Shiguo Liu, Zheng Zhou, Can Wang, Mingzhen Guo, Nan Chu, Changgui Li

ABSTRACT

Gout is a self-limiting, auto-inflammatory arthritis induced by the deposition of monosodium urate crystals in the synovial fluid and periarticular tissues. The aim of this study was to investigate the associations between genetic variants in the interleukin (IL) and interleukin receptor (ILR) genes IL-33, IL-1RL1, IL-23R and signal transducer and activator of transcription 4 (STAT4) and susceptibility to gout in Chinese Han male individuals. The genetic distributions of rs3939286 in IL-33, rs13015714 in IL-1RL1, rs10889677 in IL-23R and rs7574865 in STAT4 were detected in 1100 men with gout and 1227 ethnically matched controls, using Taqman allelic discrimination real-time polymerase chain reaction (PCR). Differences in these polymorphisms between the groups were investigated using χ2 tests. The genotype-phenotype relationship among gout patients was tested by analysis of variance. There was a significant difference in genotypic frequencies of IL-23R rs10889677 between gout patients and controls (χ2 = 81.386, P < 0.001). However, there were no significant differences in distributions of the other polymorphisms between the groups. Our results revealed that the rs10889677 variant in IL-23R may be involved in the development of gout in Chinese Han male individuals. However, further studies in other ethnic groups are needed to confirm these results. More... »

PAGES

13887

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep13887

DOI

http://dx.doi.org/10.1038/srep13887

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000097976

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26399911


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Association Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gout", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interleukins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Interleukin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/grid.412521.1", 
          "name": [
            "Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
            "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Shiguo", 
        "id": "sg:person.01234256604.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234256604.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Clinical Research, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/grid.412521.1", 
          "name": [
            "Institute of Clinical Research, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Zheng", 
        "id": "sg:person.0727717415.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727717415.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/grid.412521.1", 
          "name": [
            "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Can", 
        "id": "sg:person.01067550727.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067550727.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/grid.412521.1", 
          "name": [
            "Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Mingzhen", 
        "id": "sg:person.0615404551.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615404551.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao HaiCi hospital, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Qingdao HaiCi hospital, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chu", 
        "givenName": "Nan", 
        "id": "sg:person.01325214527.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325214527.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China", 
          "id": "http://www.grid.ac/institutes/grid.412521.1", 
          "name": [
            "Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Changgui", 
        "id": "sg:person.0676564741.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676564741.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/labinvest.3700663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024433947", 
          "https://doi.org/10.1038/labinvest.3700663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.625", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032813793", 
          "https://doi.org/10.1038/ng.625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11926-011-0162-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032351017", 
          "https://doi.org/10.1007/s11926-011-0162-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11926-012-0309-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024296170", 
          "https://doi.org/10.1007/s11926-012-0309-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncprheum0556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021460304", 
          "https://doi.org/10.1038/ncprheum0556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13075-015-0522-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001759995", 
          "https://doi.org/10.1186/s13075-015-0522-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.624", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005574545", 
          "https://doi.org/10.1038/ng.624"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-09-24", 
    "datePublishedReg": "2015-09-24", 
    "description": "Gout is a self-limiting, auto-inflammatory arthritis induced by the deposition of monosodium urate crystals in the synovial fluid and periarticular tissues. The aim of this study was to investigate the associations between genetic variants in the interleukin (IL) and interleukin receptor (ILR) genes IL-33, IL-1RL1, IL-23R and signal transducer and activator of transcription 4 (STAT4) and susceptibility to gout in Chinese Han male individuals. The genetic distributions of rs3939286 in IL-33, rs13015714 in IL-1RL1, rs10889677 in IL-23R and rs7574865 in STAT4 were detected in 1100 men with gout and 1227 ethnically matched controls, using Taqman allelic discrimination real-time polymerase chain reaction (PCR). Differences in these polymorphisms between the groups were investigated using \u03c72 tests. The genotype-phenotype relationship among gout patients was tested by analysis of variance. There was a significant difference in genotypic frequencies of IL-23R rs10889677 between gout patients and controls (\u03c72\u2009=\u200981.386, P\u2009<\u20090.001). However, there were no significant differences in distributions of the other polymorphisms between the groups. Our results revealed that the rs10889677 variant in IL-23R may be involved in the development of gout in Chinese Han male individuals. However, further studies in other ethnic groups are needed to confirm these results.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep13887", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8179151", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.8332958", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "IL-23R", 
      "IL-33", 
      "gout patients", 
      "polymerase chain reaction", 
      "IL-1RL1", 
      "allelic discrimination real-time polymerase chain reaction", 
      "development of gout", 
      "interleukin receptors", 
      "monosodium urate crystals", 
      "receptor gene polymorphisms", 
      "risk of gout", 
      "real-time polymerase chain reaction", 
      "significant differences", 
      "male individuals", 
      "periarticular tissues", 
      "urate crystals", 
      "gene polymorphisms", 
      "gout", 
      "interleukin", 
      "\u03c72 test", 
      "transcription 4", 
      "chain reaction", 
      "Further studies", 
      "rs10889677", 
      "patients", 
      "genetic variants", 
      "genotype-phenotype relationships", 
      "genotypic frequencies", 
      "signal transducer", 
      "ethnic groups", 
      "polymorphism", 
      "association", 
      "group", 
      "analysis of variance", 
      "rs3939286", 
      "arthritis", 
      "genetic distribution", 
      "rs7574865", 
      "rs13015714", 
      "differences", 
      "individuals", 
      "receptors", 
      "STAT4", 
      "men", 
      "risk", 
      "control", 
      "tissue", 
      "variants", 
      "study", 
      "aim", 
      "activator", 
      "susceptibility", 
      "test", 
      "results", 
      "frequency", 
      "development", 
      "relationship", 
      "analysis", 
      "variance", 
      "transducer", 
      "reaction", 
      "distribution", 
      "deposition", 
      "crystals"
    ], 
    "name": "Associations between interleukin and interleukin receptor gene polymorphisms and risk of gout", 
    "pagination": "13887", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000097976"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep13887"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26399911"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep13887", 
      "https://app.dimensions.ai/details/publication/pub.1000097976"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_665.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep13887"
  }
]
 

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.10.1038/srep13887'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep13887'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep13887'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep13887'


 

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

258 TRIPLES      21 PREDICATES      111 URIs      96 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep13887 schema:about N0b78127a4223456987895409b4768281
2 N1b5184297303424db8b0ddfea0d9f5e0
3 N211d38245e11462697cce9e2477c3a29
4 N2459ef1c6f5f48e8b96f1c4175efa629
5 N2ed0884ad0674fc89b039f524422429e
6 N5fff255ae71e400096a6c72f49f74240
7 N86b0b6802d474cfe9cc18f1d1f752117
8 N94150d5972874be7a6526f8770a26089
9 N9fdc50e3220441d9ad284d96c0f02700
10 Na467d6933bd64f639977d771e3408f42
11 Nc452dcbe5d3c4fa8a17ca48cbfccd2bd
12 Nd9d81b23381746d98d0e77494a6f5664
13 Ne0ea20c9b0fc446c84668042a40e46e0
14 Ne99fbc4ebfb043069c3f7c46d18f2427
15 Nf5b85359fa304616aaa89666278790e0
16 anzsrc-for:06
17 anzsrc-for:0604
18 schema:author Na3e77f728d5145728279b48bbbbf6bf9
19 schema:citation sg:pub.10.1007/s11926-011-0162-1
20 sg:pub.10.1007/s11926-012-0309-8
21 sg:pub.10.1038/labinvest.3700663
22 sg:pub.10.1038/ncprheum0556
23 sg:pub.10.1038/ng.624
24 sg:pub.10.1038/ng.625
25 sg:pub.10.1186/s13075-015-0522-8
26 schema:datePublished 2015-09-24
27 schema:datePublishedReg 2015-09-24
28 schema:description Gout is a self-limiting, auto-inflammatory arthritis induced by the deposition of monosodium urate crystals in the synovial fluid and periarticular tissues. The aim of this study was to investigate the associations between genetic variants in the interleukin (IL) and interleukin receptor (ILR) genes IL-33, IL-1RL1, IL-23R and signal transducer and activator of transcription 4 (STAT4) and susceptibility to gout in Chinese Han male individuals. The genetic distributions of rs3939286 in IL-33, rs13015714 in IL-1RL1, rs10889677 in IL-23R and rs7574865 in STAT4 were detected in 1100 men with gout and 1227 ethnically matched controls, using Taqman allelic discrimination real-time polymerase chain reaction (PCR). Differences in these polymorphisms between the groups were investigated using χ2 tests. The genotype-phenotype relationship among gout patients was tested by analysis of variance. There was a significant difference in genotypic frequencies of IL-23R rs10889677 between gout patients and controls (χ2 = 81.386, P < 0.001). However, there were no significant differences in distributions of the other polymorphisms between the groups. Our results revealed that the rs10889677 variant in IL-23R may be involved in the development of gout in Chinese Han male individuals. However, further studies in other ethnic groups are needed to confirm these results.
29 schema:genre article
30 schema:isAccessibleForFree true
31 schema:isPartOf N618748014df743c189ba6bdd0ef07d62
32 Ne58131cdd8f64324a8d972f70b394520
33 sg:journal.1045337
34 schema:keywords Further studies
35 IL-1RL1
36 IL-23R
37 IL-33
38 STAT4
39 activator
40 aim
41 allelic discrimination real-time polymerase chain reaction
42 analysis
43 analysis of variance
44 arthritis
45 association
46 chain reaction
47 control
48 crystals
49 deposition
50 development
51 development of gout
52 differences
53 distribution
54 ethnic groups
55 frequency
56 gene polymorphisms
57 genetic distribution
58 genetic variants
59 genotype-phenotype relationships
60 genotypic frequencies
61 gout
62 gout patients
63 group
64 individuals
65 interleukin
66 interleukin receptors
67 male individuals
68 men
69 monosodium urate crystals
70 patients
71 periarticular tissues
72 polymerase chain reaction
73 polymorphism
74 reaction
75 real-time polymerase chain reaction
76 receptor gene polymorphisms
77 receptors
78 relationship
79 results
80 risk
81 risk of gout
82 rs10889677
83 rs13015714
84 rs3939286
85 rs7574865
86 signal transducer
87 significant differences
88 study
89 susceptibility
90 test
91 tissue
92 transcription 4
93 transducer
94 urate crystals
95 variance
96 variants
97 χ2 test
98 schema:name Associations between interleukin and interleukin receptor gene polymorphisms and risk of gout
99 schema:pagination 13887
100 schema:productId N216c1e8600584a648187effdf2e0f6ea
101 N2c58725ef8fe4b44b3f06aa7f7b29fbb
102 Neade41c243b7406383145213d94a5eb3
103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000097976
104 https://doi.org/10.1038/srep13887
105 schema:sdDatePublished 2022-12-01T06:33
106 schema:sdLicense https://scigraph.springernature.com/explorer/license/
107 schema:sdPublisher N227fd8ce168d4912bbb376032249e421
108 schema:url https://doi.org/10.1038/srep13887
109 sgo:license sg:explorer/license/
110 sgo:sdDataset articles
111 rdf:type schema:ScholarlyArticle
112 N0b78127a4223456987895409b4768281 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Receptors, Interleukin
114 rdf:type schema:DefinedTerm
115 N1b5184297303424db8b0ddfea0d9f5e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Middle Aged
117 rdf:type schema:DefinedTerm
118 N211d38245e11462697cce9e2477c3a29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Adult
120 rdf:type schema:DefinedTerm
121 N216c1e8600584a648187effdf2e0f6ea schema:name pubmed_id
122 schema:value 26399911
123 rdf:type schema:PropertyValue
124 N227fd8ce168d4912bbb376032249e421 schema:name Springer Nature - SN SciGraph project
125 rdf:type schema:Organization
126 N2459ef1c6f5f48e8b96f1c4175efa629 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Male
128 rdf:type schema:DefinedTerm
129 N2c58725ef8fe4b44b3f06aa7f7b29fbb schema:name dimensions_id
130 schema:value pub.1000097976
131 rdf:type schema:PropertyValue
132 N2ed0884ad0674fc89b039f524422429e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Genotype
134 rdf:type schema:DefinedTerm
135 N5fff255ae71e400096a6c72f49f74240 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Humans
137 rdf:type schema:DefinedTerm
138 N618748014df743c189ba6bdd0ef07d62 schema:issueNumber 1
139 rdf:type schema:PublicationIssue
140 N81d3ce3e62214b7f9c2684db24b1d6b2 rdf:first sg:person.0615404551.30
141 rdf:rest N885e4c3146954fa684a6a9a11d1783c5
142 N86b0b6802d474cfe9cc18f1d1f752117 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Polymorphism, Single Nucleotide
144 rdf:type schema:DefinedTerm
145 N885e4c3146954fa684a6a9a11d1783c5 rdf:first sg:person.01325214527.13
146 rdf:rest Na743821efbd34f109b47d174a2e6d643
147 N94150d5972874be7a6526f8770a26089 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Genetic Predisposition to Disease
149 rdf:type schema:DefinedTerm
150 N9fdc50e3220441d9ad284d96c0f02700 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Risk
152 rdf:type schema:DefinedTerm
153 Na3e77f728d5145728279b48bbbbf6bf9 rdf:first sg:person.01234256604.04
154 rdf:rest Nd47223db4bd74dfda9a2c05dcfb6dfae
155 Na467d6933bd64f639977d771e3408f42 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Case-Control Studies
157 rdf:type schema:DefinedTerm
158 Na743821efbd34f109b47d174a2e6d643 rdf:first sg:person.0676564741.16
159 rdf:rest rdf:nil
160 Na94db9cfa2274ebaba03bdac8f60a40c rdf:first sg:person.01067550727.80
161 rdf:rest N81d3ce3e62214b7f9c2684db24b1d6b2
162 Nc452dcbe5d3c4fa8a17ca48cbfccd2bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Genetic Association Studies
164 rdf:type schema:DefinedTerm
165 Nd47223db4bd74dfda9a2c05dcfb6dfae rdf:first sg:person.0727717415.01
166 rdf:rest Na94db9cfa2274ebaba03bdac8f60a40c
167 Nd9d81b23381746d98d0e77494a6f5664 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Gene Frequency
169 rdf:type schema:DefinedTerm
170 Ne0ea20c9b0fc446c84668042a40e46e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Alleles
172 rdf:type schema:DefinedTerm
173 Ne58131cdd8f64324a8d972f70b394520 schema:volumeNumber 5
174 rdf:type schema:PublicationVolume
175 Ne99fbc4ebfb043069c3f7c46d18f2427 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Interleukins
177 rdf:type schema:DefinedTerm
178 Neade41c243b7406383145213d94a5eb3 schema:name doi
179 schema:value 10.1038/srep13887
180 rdf:type schema:PropertyValue
181 Nf5b85359fa304616aaa89666278790e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Gout
183 rdf:type schema:DefinedTerm
184 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
185 schema:name Biological Sciences
186 rdf:type schema:DefinedTerm
187 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
188 schema:name Genetics
189 rdf:type schema:DefinedTerm
190 sg:grant.8179151 http://pending.schema.org/fundedItem sg:pub.10.1038/srep13887
191 rdf:type schema:MonetaryGrant
192 sg:grant.8332958 http://pending.schema.org/fundedItem sg:pub.10.1038/srep13887
193 rdf:type schema:MonetaryGrant
194 sg:journal.1045337 schema:issn 2045-2322
195 schema:name Scientific Reports
196 schema:publisher Springer Nature
197 rdf:type schema:Periodical
198 sg:person.01067550727.80 schema:affiliation grid-institutes:grid.412521.1
199 schema:familyName Wang
200 schema:givenName Can
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067550727.80
202 rdf:type schema:Person
203 sg:person.01234256604.04 schema:affiliation grid-institutes:grid.412521.1
204 schema:familyName Liu
205 schema:givenName Shiguo
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234256604.04
207 rdf:type schema:Person
208 sg:person.01325214527.13 schema:affiliation grid-institutes:None
209 schema:familyName Chu
210 schema:givenName Nan
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325214527.13
212 rdf:type schema:Person
213 sg:person.0615404551.30 schema:affiliation grid-institutes:grid.412521.1
214 schema:familyName Guo
215 schema:givenName Mingzhen
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615404551.30
217 rdf:type schema:Person
218 sg:person.0676564741.16 schema:affiliation grid-institutes:grid.412521.1
219 schema:familyName Li
220 schema:givenName Changgui
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676564741.16
222 rdf:type schema:Person
223 sg:person.0727717415.01 schema:affiliation grid-institutes:grid.412521.1
224 schema:familyName Zhou
225 schema:givenName Zheng
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727717415.01
227 rdf:type schema:Person
228 sg:pub.10.1007/s11926-011-0162-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032351017
229 https://doi.org/10.1007/s11926-011-0162-1
230 rdf:type schema:CreativeWork
231 sg:pub.10.1007/s11926-012-0309-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024296170
232 https://doi.org/10.1007/s11926-012-0309-8
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/labinvest.3700663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024433947
235 https://doi.org/10.1038/labinvest.3700663
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/ncprheum0556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021460304
238 https://doi.org/10.1038/ncprheum0556
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/ng.624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005574545
241 https://doi.org/10.1038/ng.624
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/ng.625 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032813793
244 https://doi.org/10.1038/ng.625
245 rdf:type schema:CreativeWork
246 sg:pub.10.1186/s13075-015-0522-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001759995
247 https://doi.org/10.1186/s13075-015-0522-8
248 rdf:type schema:CreativeWork
249 grid-institutes:None schema:alternateName Qingdao HaiCi hospital, 266003, Qingdao, China
250 schema:name Qingdao HaiCi hospital, 266003, Qingdao, China
251 rdf:type schema:Organization
252 grid-institutes:grid.412521.1 schema:alternateName Institute of Clinical Research, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
253 Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
254 Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
255 schema:name Institute of Clinical Research, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
256 Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
257 Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 266003, Qingdao, China
258 rdf:type schema:Organization
 




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


...