Genetic determinants of mammographic density View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-06

AUTHORS

Christopher A Haiman, Leslie Bernstein, David Van Den Berg, Sue A Ingles, Martine Salane, Giske Ursin

ABSTRACT

BACKGROUND: Changes in breast density are highly correlated with steroid hormone exposure. MATERIALS AND METHODS: In a cross-sectional study of 396 Caucasian and African-American women, we evaluated whether polymorphisms in genes involved in steroid hormone biosynthesis and metabolism, CYP17 (T27C), COMT (Val158Met), 17HSDB1 (Ser312Gly) and 3HSDB1 (Asn367Thr), predict mammographic density. We also evaluated whether associations vary by menopausal and hormone replacement therapy status. RESULTS: We found no strong consistent relationships between polymorphisms in these genes and breast density. African-American women homozygous for the Thr allele of 3HSDB1 had increased density (the absolute difference versus the Asn/Asn genotype was +19.7%; P trend = 0.02), while Caucasian homozygous women had decreased density (-5.1%; P trend = 0.04). Among premenopausal women, carriers of the Ser allele had (not significantly) greater density (versus Gly/Gly genotype: +7.1%; P trend = 0.07). In addition, among current users of hormone replacement therapy, we observed that women with the low-activity Met/Met genotype of COMT had greater breast density (versus the Val/Val genotype: +11.7%; P trend = 0.01). CONCLUSION: Additional large studies evaluating these and other candidate breast cancer genes will be required to determine what proportion, if any, of the interindividual differences in breast density are due to underlying genetic variation in genes involved in steroid hormone biosynthesis or metabolism. More... »

PAGES

r5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/bcr434

DOI

http://dx.doi.org/10.1186/bcr434

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008208514

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12052257


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "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": "17-Hydroxysteroid Dehydrogenases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "3-Hydroxysteroid Dehydrogenases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "African Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Catechol O-Methyltransferase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "European Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hormones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mammography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Methyltransferases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Steroid 17-alpha-Hydroxylase", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haiman", 
        "givenName": "Christopher A", 
        "id": "sg:person.012607214677.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012607214677.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bernstein", 
        "givenName": "Leslie", 
        "id": "sg:person.01227665360.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227665360.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berg", 
        "givenName": "David Van Den", 
        "id": "sg:person.01027352664.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027352664.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ingles", 
        "givenName": "Sue A", 
        "id": "sg:person.01202315245.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202315245.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "MSW Consulting, Bloomfield Hills, Michigan, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salane", 
        "givenName": "Martine", 
        "id": "sg:person.01113641573.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113641573.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ursin", 
        "givenName": "Giske", 
        "id": "sg:person.01131645746.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131645746.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3233/bd-1998-103-412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007084845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00212030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009034115", 
          "https://doi.org/10.1007/bf00212030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00212030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009034115", 
          "https://doi.org/10.1007/bf00212030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/carcin/19.11.1943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010880680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/19.21.6060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011500663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1047-2797(01)00274-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036503579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1050-3862(98)00019-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041654045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4731(89)90380-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043300122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4731(89)90380-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043300122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/86.6.431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059819153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/87.21.1622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059819590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/87.9.670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059819855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199702000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199702000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199702000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/0007-1285-58-685-21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064555225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-130-4_part_1-199902160-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073703162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074262074", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074545018", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074704907", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074769916", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074773779", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074815991", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074833488", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074881951", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.epirev.a036300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079679505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a113321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082131867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.196.2.7617857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082436959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.epirev.a036105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082792712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083187486", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083208126", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083219766", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083269029", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-06", 
    "datePublishedReg": "2002-06-01", 
    "description": "BACKGROUND: Changes in breast density are highly correlated with steroid hormone exposure.\nMATERIALS AND METHODS: In a cross-sectional study of 396 Caucasian and African-American women, we evaluated whether polymorphisms in genes involved in steroid hormone biosynthesis and metabolism, CYP17 (T27C), COMT (Val158Met), 17HSDB1 (Ser312Gly) and 3HSDB1 (Asn367Thr), predict mammographic density. We also evaluated whether associations vary by menopausal and hormone replacement therapy status.\nRESULTS: We found no strong consistent relationships between polymorphisms in these genes and breast density. African-American women homozygous for the Thr allele of 3HSDB1 had increased density (the absolute difference versus the Asn/Asn genotype was +19.7%; P trend = 0.02), while Caucasian homozygous women had decreased density (-5.1%; P trend = 0.04). Among premenopausal women, carriers of the Ser allele had (not significantly) greater density (versus Gly/Gly genotype: +7.1%; P trend = 0.07). In addition, among current users of hormone replacement therapy, we observed that women with the low-activity Met/Met genotype of COMT had greater breast density (versus the Val/Val genotype: +11.7%; P trend = 0.01).\nCONCLUSION: Additional large studies evaluating these and other candidate breast cancer genes will be required to determine what proportion, if any, of the interindividual differences in breast density are due to underlying genetic variation in genes involved in steroid hormone biosynthesis or metabolism.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/bcr434", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2427267", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2430604", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1022375", 
        "issn": [
          "1465-5411", 
          "1465-542X"
        ], 
        "name": "Breast Cancer Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Genetic determinants of mammographic density", 
    "pagination": "r5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "271b657394216d6e2ed6ba492203588a1f01126de4a07003804ba7dceccd053b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12052257"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100927353"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/bcr434"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008208514"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/bcr434", 
      "https://app.dimensions.ai/details/publication/pub.1008208514"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:15", 
    "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_8659_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fbcr434"
  }
]
 

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/bcr434'

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/bcr434'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/bcr434'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/bcr434'


 

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

250 TRIPLES      21 PREDICATES      74 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/bcr434 schema:about N0dd327b8a5e346cc8d933e4abf761f50
2 N1070730f44354d62a7f8187ec1ce1e4b
3 N12f9b698b02c4e22883e98a609f30708
4 N4c3126a6518b4785adde7c20c9d9e44e
5 N57c93c0bc33446b7ad0bd572f0de88c6
6 N59578e85ccc54549a1676bc012363407
7 N72e1ad915985404ca4c1ffd19f420b94
8 N766c1354244b4fdd95c82b893304cf22
9 N8338927cf1f04eda9bc8e83576ce3c8e
10 N9c891a8f61e34cf79c90be0b8ecb1392
11 Naedeaf1ac4724685afb8ff45d006c428
12 Nb8136a2ebf0945bb95fb8cf2cc82a059
13 Nbca493477ac14cd18b00371f787b83a0
14 Nc754c5391fc349a7b017fa806ca81510
15 Nd1f9596e50344f6ca9045c9ce5b05f8d
16 Ne025506f904f4d588dc5560b90370b3b
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author Nd4add354b8fb471f8dbfb56a838a55db
20 schema:citation sg:pub.10.1007/bf00212030
21 https://app.dimensions.ai/details/publication/pub.1074262074
22 https://app.dimensions.ai/details/publication/pub.1074545018
23 https://app.dimensions.ai/details/publication/pub.1074704907
24 https://app.dimensions.ai/details/publication/pub.1074769916
25 https://app.dimensions.ai/details/publication/pub.1074773779
26 https://app.dimensions.ai/details/publication/pub.1074815991
27 https://app.dimensions.ai/details/publication/pub.1074833488
28 https://app.dimensions.ai/details/publication/pub.1074881951
29 https://app.dimensions.ai/details/publication/pub.1083187486
30 https://app.dimensions.ai/details/publication/pub.1083208126
31 https://app.dimensions.ai/details/publication/pub.1083219766
32 https://app.dimensions.ai/details/publication/pub.1083269029
33 https://doi.org/10.1016/0022-4731(89)90380-4
34 https://doi.org/10.1016/s1047-2797(01)00274-5
35 https://doi.org/10.1016/s1050-3862(98)00019-9
36 https://doi.org/10.1093/carcin/19.11.1943
37 https://doi.org/10.1093/jnci/86.6.431
38 https://doi.org/10.1093/jnci/87.21.1622
39 https://doi.org/10.1093/jnci/87.9.670
40 https://doi.org/10.1093/nar/19.21.6060
41 https://doi.org/10.1093/oxfordjournals.aje.a113321
42 https://doi.org/10.1093/oxfordjournals.epirev.a036105
43 https://doi.org/10.1093/oxfordjournals.epirev.a036300
44 https://doi.org/10.1097/00008571-199702000-00009
45 https://doi.org/10.1148/radiology.196.2.7617857
46 https://doi.org/10.1259/0007-1285-58-685-21
47 https://doi.org/10.3233/bd-1998-103-412
48 https://doi.org/10.7326/0003-4819-130-4_part_1-199902160-00003
49 schema:datePublished 2002-06
50 schema:datePublishedReg 2002-06-01
51 schema:description BACKGROUND: Changes in breast density are highly correlated with steroid hormone exposure. MATERIALS AND METHODS: In a cross-sectional study of 396 Caucasian and African-American women, we evaluated whether polymorphisms in genes involved in steroid hormone biosynthesis and metabolism, CYP17 (T27C), COMT (Val158Met), 17HSDB1 (Ser312Gly) and 3HSDB1 (Asn367Thr), predict mammographic density. We also evaluated whether associations vary by menopausal and hormone replacement therapy status. RESULTS: We found no strong consistent relationships between polymorphisms in these genes and breast density. African-American women homozygous for the Thr allele of 3HSDB1 had increased density (the absolute difference versus the Asn/Asn genotype was +19.7%; P trend = 0.02), while Caucasian homozygous women had decreased density (-5.1%; P trend = 0.04). Among premenopausal women, carriers of the Ser allele had (not significantly) greater density (versus Gly/Gly genotype: +7.1%; P trend = 0.07). In addition, among current users of hormone replacement therapy, we observed that women with the low-activity Met/Met genotype of COMT had greater breast density (versus the Val/Val genotype: +11.7%; P trend = 0.01). CONCLUSION: Additional large studies evaluating these and other candidate breast cancer genes will be required to determine what proportion, if any, of the interindividual differences in breast density are due to underlying genetic variation in genes involved in steroid hormone biosynthesis or metabolism.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree true
55 schema:isPartOf N71ffad2dd16b40c89d30edccf36ecc90
56 Necf562b77a3c435290fd3fde85fde305
57 sg:journal.1022375
58 schema:name Genetic determinants of mammographic density
59 schema:pagination r5
60 schema:productId N015b25da978b4950a3e7f51f0366164b
61 N3b1a60c6fa1944808ef0e3f9c2127589
62 N4989b2d522f44692af70f7ce5c4558f1
63 Nd3c2fb3e57c546c4919818c5b98e7689
64 Nfdc66f874eaa4a7fb402432947e8c3ba
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008208514
66 https://doi.org/10.1186/bcr434
67 schema:sdDatePublished 2019-04-10T13:15
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N91e6bcb973264719a9aa71b7f0f72d63
70 schema:url http://link.springer.com/10.1186%2Fbcr434
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N015b25da978b4950a3e7f51f0366164b schema:name nlm_unique_id
75 schema:value 100927353
76 rdf:type schema:PropertyValue
77 N05a9c1c483564033848c55219b7bb819 schema:name MSW Consulting, Bloomfield Hills, Michigan, USA
78 rdf:type schema:Organization
79 N0dd327b8a5e346cc8d933e4abf761f50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Polymorphism, Genetic
81 rdf:type schema:DefinedTerm
82 N1070730f44354d62a7f8187ec1ce1e4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Breast Neoplasms
84 rdf:type schema:DefinedTerm
85 N12f9b698b02c4e22883e98a609f30708 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name European Continental Ancestry Group
87 rdf:type schema:DefinedTerm
88 N3b1a60c6fa1944808ef0e3f9c2127589 schema:name pubmed_id
89 schema:value 12052257
90 rdf:type schema:PropertyValue
91 N4249eeb4ac74446f9eaeee2a5f6b771b rdf:first sg:person.01113641573.76
92 rdf:rest N88f2e78ca4d24c96b0c7d2f6ac32e52a
93 N4989b2d522f44692af70f7ce5c4558f1 schema:name readcube_id
94 schema:value 271b657394216d6e2ed6ba492203588a1f01126de4a07003804ba7dceccd053b
95 rdf:type schema:PropertyValue
96 N4c3126a6518b4785adde7c20c9d9e44e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Breast
98 rdf:type schema:DefinedTerm
99 N4e1caf087dfc4cd0af3b2d02a5fb35fb rdf:first sg:person.01027352664.02
100 rdf:rest N764d051d49ae452b9b73220a2c13afe8
101 N57c93c0bc33446b7ad0bd572f0de88c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Hormones
103 rdf:type schema:DefinedTerm
104 N59578e85ccc54549a1676bc012363407 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Steroid 17-alpha-Hydroxylase
106 rdf:type schema:DefinedTerm
107 N71ffad2dd16b40c89d30edccf36ecc90 schema:volumeNumber 4
108 rdf:type schema:PublicationVolume
109 N72e1ad915985404ca4c1ffd19f420b94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Catechol O-Methyltransferase
111 rdf:type schema:DefinedTerm
112 N764d051d49ae452b9b73220a2c13afe8 rdf:first sg:person.01202315245.46
113 rdf:rest N4249eeb4ac74446f9eaeee2a5f6b771b
114 N766c1354244b4fdd95c82b893304cf22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Cross-Sectional Studies
116 rdf:type schema:DefinedTerm
117 N8338927cf1f04eda9bc8e83576ce3c8e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name 17-Hydroxysteroid Dehydrogenases
119 rdf:type schema:DefinedTerm
120 N88f2e78ca4d24c96b0c7d2f6ac32e52a rdf:first sg:person.01131645746.31
121 rdf:rest rdf:nil
122 N90ceb92f09964b0582141e14b460041e rdf:first sg:person.01227665360.37
123 rdf:rest N4e1caf087dfc4cd0af3b2d02a5fb35fb
124 N91e6bcb973264719a9aa71b7f0f72d63 schema:name Springer Nature - SN SciGraph project
125 rdf:type schema:Organization
126 N9c891a8f61e34cf79c90be0b8ecb1392 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name 3-Hydroxysteroid Dehydrogenases
128 rdf:type schema:DefinedTerm
129 Naedeaf1ac4724685afb8ff45d006c428 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Methyltransferases
131 rdf:type schema:DefinedTerm
132 Nb8136a2ebf0945bb95fb8cf2cc82a059 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Female
134 rdf:type schema:DefinedTerm
135 Nbca493477ac14cd18b00371f787b83a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Mammography
137 rdf:type schema:DefinedTerm
138 Nc754c5391fc349a7b017fa806ca81510 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name African Continental Ancestry Group
140 rdf:type schema:DefinedTerm
141 Nd1f9596e50344f6ca9045c9ce5b05f8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Humans
143 rdf:type schema:DefinedTerm
144 Nd3c2fb3e57c546c4919818c5b98e7689 schema:name dimensions_id
145 schema:value pub.1008208514
146 rdf:type schema:PropertyValue
147 Nd4add354b8fb471f8dbfb56a838a55db rdf:first sg:person.012607214677.06
148 rdf:rest N90ceb92f09964b0582141e14b460041e
149 Ne025506f904f4d588dc5560b90370b3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Middle Aged
151 rdf:type schema:DefinedTerm
152 Necf562b77a3c435290fd3fde85fde305 schema:issueNumber 3
153 rdf:type schema:PublicationIssue
154 Nfdc66f874eaa4a7fb402432947e8c3ba schema:name doi
155 schema:value 10.1186/bcr434
156 rdf:type schema:PropertyValue
157 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
158 schema:name Medical and Health Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
161 schema:name Oncology and Carcinogenesis
162 rdf:type schema:DefinedTerm
163 sg:grant.2427267 http://pending.schema.org/fundedItem sg:pub.10.1186/bcr434
164 rdf:type schema:MonetaryGrant
165 sg:grant.2430604 http://pending.schema.org/fundedItem sg:pub.10.1186/bcr434
166 rdf:type schema:MonetaryGrant
167 sg:journal.1022375 schema:issn 1465-5411
168 1465-542X
169 schema:name Breast Cancer Research
170 rdf:type schema:Periodical
171 sg:person.01027352664.02 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
172 schema:familyName Berg
173 schema:givenName David Van Den
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027352664.02
175 rdf:type schema:Person
176 sg:person.01113641573.76 schema:affiliation N05a9c1c483564033848c55219b7bb819
177 schema:familyName Salane
178 schema:givenName Martine
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113641573.76
180 rdf:type schema:Person
181 sg:person.01131645746.31 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
182 schema:familyName Ursin
183 schema:givenName Giske
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131645746.31
185 rdf:type schema:Person
186 sg:person.01202315245.46 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
187 schema:familyName Ingles
188 schema:givenName Sue A
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202315245.46
190 rdf:type schema:Person
191 sg:person.01227665360.37 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
192 schema:familyName Bernstein
193 schema:givenName Leslie
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227665360.37
195 rdf:type schema:Person
196 sg:person.012607214677.06 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
197 schema:familyName Haiman
198 schema:givenName Christopher A
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012607214677.06
200 rdf:type schema:Person
201 sg:pub.10.1007/bf00212030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009034115
202 https://doi.org/10.1007/bf00212030
203 rdf:type schema:CreativeWork
204 https://app.dimensions.ai/details/publication/pub.1074262074 schema:CreativeWork
205 https://app.dimensions.ai/details/publication/pub.1074545018 schema:CreativeWork
206 https://app.dimensions.ai/details/publication/pub.1074704907 schema:CreativeWork
207 https://app.dimensions.ai/details/publication/pub.1074769916 schema:CreativeWork
208 https://app.dimensions.ai/details/publication/pub.1074773779 schema:CreativeWork
209 https://app.dimensions.ai/details/publication/pub.1074815991 schema:CreativeWork
210 https://app.dimensions.ai/details/publication/pub.1074833488 schema:CreativeWork
211 https://app.dimensions.ai/details/publication/pub.1074881951 schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1083187486 schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1083208126 schema:CreativeWork
214 https://app.dimensions.ai/details/publication/pub.1083219766 schema:CreativeWork
215 https://app.dimensions.ai/details/publication/pub.1083269029 schema:CreativeWork
216 https://doi.org/10.1016/0022-4731(89)90380-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043300122
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s1047-2797(01)00274-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036503579
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s1050-3862(98)00019-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041654045
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1093/carcin/19.11.1943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010880680
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1093/jnci/86.6.431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059819153
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/jnci/87.21.1622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059819590
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/jnci/87.9.670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059819855
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/nar/19.21.6060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011500663
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/oxfordjournals.aje.a113321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082131867
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/oxfordjournals.epirev.a036105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082792712
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1093/oxfordjournals.epirev.a036300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079679505
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/00008571-199702000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060289499
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1148/radiology.196.2.7617857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082436959
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1259/0007-1285-58-685-21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064555225
243 rdf:type schema:CreativeWork
244 https://doi.org/10.3233/bd-1998-103-412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007084845
245 rdf:type schema:CreativeWork
246 https://doi.org/10.7326/0003-4819-130-4_part_1-199902160-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073703162
247 rdf:type schema:CreativeWork
248 https://www.grid.ac/institutes/grid.42505.36 schema:alternateName University of Southern California
249 schema:name Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA 90089, Los Angeles, California, USA
250 rdf:type schema:Organization
 




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


...