Linked Life Data

10723107

Source:http://linkedlifedata.com/resource/pubmed/id/10723107

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-5-10
pubmed:abstractText
The sibling recurrence risk, sibling relative risk, and locus-specific sibling relative risk are fundamental quantities in genetic epidemiologic research and are often estimated without accounting for the sampling scheme. For data generated under some genetic models, bias of estimates may be large if the sampling method is incorrectly modeled. In this paper, we explore the relationship between ascertainment of sibships and estimation and interpretation of genetic risk parameters. In particular, we observe that, although traditional definitions of these population parameters are consistent with each other, implied assumptions about ascertainment and the nature of ascertainment correction differ. In the absence of ascertainment correction, unbiased estimation of sibling recurrence risk and overall sibling relative risk requires single ascertainment, while unbiased estimation of locus-specific sibling relative risk requires complete ascertainment.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0741-0395
pubmed:author
pubmed:copyrightInfo
Copyright 2000 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
217-35
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Ascertainment bias in the estimation of sibling genetic risk parameters.
pubmed:affiliation
Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, MetroHealth Campus, Case Western Reserve University, Cleveland, Ohio 44109, USA. olson@darwin.cwru.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.