Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-12-12
pubmed:abstractText
When a gene variant is discovered to segregate with a disease, it may be of interest to estimate the risk (or the age-specific risk) of the disease to carriers of the variant. The families that contributed to the discovery of the variant would typically contain multiple carriers, and so, especially if the variant is rare, might prove a valuable source of study subjects for estimation of the risk. These families, by virtue of having brought the gene in question to the attention of researchers, however, may not be representative of the relationship between carrier status and the risk of the disease in the population. Using these families for risk estimation could bias the observed association between the variant and the risk. The purpose here is to present an approach to adjusting for the potential bias while using the families from linkage analysis to estimate the risk.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-10851389, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-11810107, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-11879388, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-12189225, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-12205652, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-12601709, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-12652521, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-15009222, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-15079010, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-15079011, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-15660777, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-7647791, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156282-9989620
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0006-341X
pubmed:author
pubmed:issnType
Print
pubmed:volume
62
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1081-8
pubmed:dateRevised
2010-12-3
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
A method for estimating penetrance from families sampled for linkage analysis.
pubmed:affiliation
Department of Statistics, Columbia University, New York, New York 10027, USA. wang@stat.columbia.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural