Linked Life Data

7749139

Source:http://linkedlifedata.com/resource/pubmed/id/7749139

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1995-6-22
pubmed:abstractText
Chromosome 17q12-21 is known to contain a gene (or genes) which confers susceptibility to early-onset breast cancer and ovarian cancer (BRCA1). Identification and isolation of BRCA1 will likely provide the basis for increased understanding of the pathogenesis of breast and ovarian cancer, the development of targeted diagnostic and therapeutic approaches, and a means of screening women at risk of being BRCA1 mutation carriers. Genetic and physical maps of the BRCA1 candidate region have been largely completed and efforts are being directed at identification of candidate genes from within this region. We have begun the task of identifying transcripts from this region employing three complementary strategies. These include: 1) direct cDNA screening with cosmids derived from the BRCA1 region; 2) exon amplification; and 3) magnetic bead capture. Transcripts identified using these approaches are being characterized for: 1) tissue expression pattern; 2) the presence of genomic rearrangement in DNA derived from affected members of families believed to show linkage between breast cancer and genetic markers in the BRCA1 candidate interval; 3) altered size and/or expression pattern in RNA prepared from such individuals; and 4) homology to known genes or functional motifs. Germline mutations in affected individuals from these families will serve as presumptive evidence of BRCA1 identity.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0167-6806
pubmed:author
pubmed:issnType
Print
pubmed:volume
33
pubmed:geneSymbol
BRCA1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
115-24
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Transcript identification in the BRCA1 candidate region.
pubmed:affiliation
Department of Internal Medicine, University of Michigan, Ann Arbor, USA.
pubmed:publicationType
Journal Article, Review