Linked Life Data

16608396

Source:http://linkedlifedata.com/resource/pubmed/id/16608396

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-4-12
pubmed:abstractText
We investigated inherited polymorphic variation in genes spanning estrogen metabolism (10 SNPs [single nucleotide polymorphism]) to distinguish multilocus genotypes associated with breast cancer (n = 393), benign breast lesions (n = 154), and low risk (n = 1936). Three latent classification GoM extreme type groups represented the data: (a) fibroadenoma, and infrequent SRD5A2 and VDR alleles; (b) postmenopausal breast cancer, and infrequent CYP1A1-1 and CYP1A1-2 alleles (both over-represented infrequent alleles for CYP17, CYP19-3, and COMT); and (c) women at intrinsically low risk. Carriage of the respective multilocus genotypes increased risk 25-fold. We conclude that GoM latent classification may be useful to identify genetic risk sets and estimate risk for individuals.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1549-1684
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
56-60
pubmed:dateRevised
2007-9-11
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Multilocus genotypes spanning estrogen metabolism associated with breast cancer and fibroadenoma.
pubmed:affiliation
Center for Demographic Studies, Duke University, Durham, North Carolina 27708-0408, USA. beth@cds.duke.edu
pubmed:publicationType
Journal Article