Ontology type: schema:ScholarlyArticle
2006-07
AUTHORSMiyo Kiyomizu, Jo Kitawaki, Hiroshi Obayashi, Mitsuhiro Ohta, Hisato Koshiba, Hiroaki Ishihara, Hideo Honjo
ABSTRACTOBJECTIVE: The peroxisome proliferator-activated receptor-gamma (PPAR-gamma) is a nuclear hormone receptor that plays an important role in many diseases. This study investigated whether two polymorphisms (Pro12Ala in exon B and C161T in exon 6) of the PPAR-gamma2 gene are related to adenomyosis, endometriosis, or leiomyomata. METHODS: A total of 390 patients with adenomyosis, endometriosis, and/or leiomyomata were classified into four groups: 103 patients with adenomyosis (21 adenomyosis only and 82 adenomyosis with endometriosis and/or leiomyomata), 95 patients with endometriosis only, 100 patients with leiomyomata only, and 92 patients with endometriosis and leiomyomata. RESULTS: There was no association between distribution of genotype or allele frequencies for the PPAR-gamma Pro12Ala polymorphism and the presence of adenomyosis, endometriosis, and/or leiomyomata. However, compared with results for controls, the PPAR-gamma 161CC genotype and 161C allele frequencies were significantly increased in patients with adenomyosis (genotype: chi2 = 8.185, corrected P value [Pc] = .0169; allele: chi2 = 8.337, Pc = .0155) and in patients with endometriosis (genotype: chi2 = 6.748, Pc = .0375; allele: chi2 = 6.413, Pc = .0453). CONCLUSION: The results suggest that the PPAR-gamma 161CC genotype could be a genetic risk factor for adenomyosis and endometriosis, whereas the Pro12Ala polymorphism was not associated with these estrogen-dependent benign uterine diseases in a Japanese population. More... »
PAGES372-377
http://scigraph.springernature.com/pub.10.1016/j.jsgi.2006.03.005
DOIhttp://dx.doi.org/10.1016/j.jsgi.2006.03.005
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1054739885
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/16725353
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/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1114",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Paediatrics and Reproductive Medicine",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "DNA",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Endometriosis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Frequency",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genotype",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Japan",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Leiomyoma",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "PPAR gamma",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Polymorphism, Genetic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Uterine Neoplasms",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Obstetrics and Gynecology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan: Department of Clinical Research, Institute of Bio-Response Informatics, Kyoto, Japan; Department of Medical Biochemistry, Kobe Pharmaceutical University, Kobe, Japan",
"id": "http://www.grid.ac/institutes/grid.411100.5",
"name": [
"Department of Obstetrics and Gynecology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan: Department of Clinical Research, Institute of Bio-Response Informatics, Kyoto, Japan; Department of Medical Biochemistry, Kobe Pharmaceutical University, Kobe, Japan"
],
"type": "Organization"
},
"familyName": "Kiyomizu",
"givenName": "Miyo",
"id": "sg:person.0730672703.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730672703.25"
],
"type": "Person"
},
{
"familyName": "Kitawaki",
"givenName": "Jo",
"id": "sg:person.01265463724.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265463724.08"
],
"type": "Person"
},
{
"familyName": "Obayashi",
"givenName": "Hiroshi",
"id": "sg:person.01114650474.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114650474.20"
],
"type": "Person"
},
{
"familyName": "Ohta",
"givenName": "Mitsuhiro",
"id": "sg:person.01127077703.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127077703.44"
],
"type": "Person"
},
{
"familyName": "Koshiba",
"givenName": "Hisato",
"id": "sg:person.01363607220.04",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363607220.04"
],
"type": "Person"
},
{
"familyName": "Ishihara",
"givenName": "Hiroaki",
"id": "sg:person.01165325066.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165325066.38"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Obstetrics and Gynecology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan: Department of Clinical Research, Institute of Bio-Response Informatics, Kyoto, Japan; Department of Medical Biochemistry, Kobe Pharmaceutical University, Kobe, Japan",
"id": "http://www.grid.ac/institutes/grid.411100.5",
"name": [
"Department of Obstetrics and Gynecology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan: Department of Clinical Research, Institute of Bio-Response Informatics, Kyoto, Japan; Department of Medical Biochemistry, Kobe Pharmaceutical University, Kobe, Japan"
],
"type": "Organization"
},
"familyName": "Honjo",
"givenName": "Hideo",
"id": "sg:person.01215360606.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215360606.58"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s004390100563",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002014732",
"https://doi.org/10.1007/s004390100563"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-003-1321-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049795039",
"https://doi.org/10.1007/s00125-003-1321-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/79216",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025268513",
"https://doi.org/10.1038/79216"
],
"type": "CreativeWork"
}
],
"datePublished": "2006-07",
"datePublishedReg": "2006-07-01",
"description": "OBJECTIVE: The peroxisome proliferator-activated receptor-gamma (PPAR-gamma) is a nuclear hormone receptor that plays an important role in many diseases. This study investigated whether two polymorphisms (Pro12Ala in exon B and C161T in exon 6) of the PPAR-gamma2 gene are related to adenomyosis, endometriosis, or leiomyomata.\nMETHODS: A total of 390 patients with adenomyosis, endometriosis, and/or leiomyomata were classified into four groups: 103 patients with adenomyosis (21 adenomyosis only and 82 adenomyosis with endometriosis and/or leiomyomata), 95 patients with endometriosis only, 100 patients with leiomyomata only, and 92 patients with endometriosis and leiomyomata.\nRESULTS: There was no association between distribution of genotype or allele frequencies for the PPAR-gamma Pro12Ala polymorphism and the presence of adenomyosis, endometriosis, and/or leiomyomata. However, compared with results for controls, the PPAR-gamma 161CC genotype and 161C allele frequencies were significantly increased in patients with adenomyosis (genotype: chi2 = 8.185, corrected P value [Pc] = .0169; allele: chi2 = 8.337, Pc = .0155) and in patients with endometriosis (genotype: chi2 = 6.748, Pc = .0375; allele: chi2 = 6.413, Pc = .0453).\nCONCLUSION: The results suggest that the PPAR-gamma 161CC genotype could be a genetic risk factor for adenomyosis and endometriosis, whereas the Pro12Ala polymorphism was not associated with these estrogen-dependent benign uterine diseases in a Japanese population.",
"genre": "article",
"id": "sg:pub.10.1016/j.jsgi.2006.03.005",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1112196",
"issn": [
"1933-7191",
"1933-7205"
],
"name": "Reproductive Sciences",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "13"
}
],
"keywords": [
"Pro12Ala polymorphism",
"PPAR-gamma Pro12Ala polymorphism",
"PPAR-gamma2 gene",
"presence of adenomyosis",
"benign uterine diseases",
"receptor \u03b3 gene",
"genetic risk factors",
"distribution of genotypes",
"risk factors",
"uterine disease",
"adenomyosis",
"endometriosis",
"leiomyomata",
"patients",
"Japanese women",
"peroxisome proliferator",
"nuclear hormone receptors",
"allele frequencies",
"hormone receptors",
"Japanese population",
"two polymorphisms",
"disease",
"polymorphism",
"association",
"genotypes",
"proliferator",
"receptors",
"important role",
"women",
"total",
"genes",
"group",
"population",
"peroxisomes",
"frequency",
"factors",
"control",
"study",
"role",
"presence",
"results",
"distribution"
],
"name": "Association of Two Polymorphisms in the Peroxisome Proliferator-Acativated Receptor-\u03b3 Gene With Adenomyosis, Endometriosis, and Leiomyomata in Japanese Women",
"pagination": "372-377",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1054739885"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1016/j.jsgi.2006.03.005"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"16725353"
]
}
],
"sameAs": [
"https://doi.org/10.1016/j.jsgi.2006.03.005",
"https://app.dimensions.ai/details/publication/pub.1054739885"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T16:55",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_423.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1016/j.jsgi.2006.03.005"
}
]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/pub.10.1016/j.jsgi.2006.03.005'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/j.jsgi.2006.03.005'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/j.jsgi.2006.03.005'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/j.jsgi.2006.03.005'
This table displays all metadata directly associated to this object as RDF triples.
196 TRIPLES
21 PREDICATES
82 URIs
71 LITERALS
18 BLANK NODES