Linked Life Data

15322517

Source:http://linkedlifedata.com/resource/pubmed/id/15322517

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
38
pubmed:dateCreated
2004-8-23
pubmed:abstractText
Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0950-9232
pubmed:author
pubmed:issnType
Print
pubmed:day
23
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6471-6
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
The search for low-penetrance cancer susceptibility alleles.
pubmed:affiliation
Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK. richard.houlston@icr.ac.uk
pubmed:publicationType
Journal Article, Review