Linked Life Data

12111895

Source:http://linkedlifedata.com/resource/pubmed/id/12111895

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
13
pubmed:dateCreated
2002-7-11
pubmed:abstractText
When designing or conducting genetic epidemiological studies of a disease with several distinct forms, it is useful to know whether susceptibilities to the different forms are conferred by different genes or whether there are genes that confer susceptibility to multiple forms. A natural approach to exploring these issues is to examine how the disease forms cluster in kindreds. When inclusion in the study is based on the affection status of multiple relatives, however, distorted patterns of familial clustering of disease form can be evident. The purpose here is to present statistical methods for adjusting for this distortion. In particular, approaches to testing two null hypotheses are presented: a null hypothesis that corresponds to all genes acting in the same way on the relative risk of the different disease forms, and a null hypothesis that corresponds to each gene conferring susceptibility to distinct disease forms. The approaches are illustrated through an application to the generalized and localization-related forms of epilepsy.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
Copyright 2002 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1887-97
pubmed:dateRevised
2011-5-13
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Concordance of disease form in kindreds ascertained through affected individuals.
pubmed:affiliation
G.H. Sergievsky Center and Mailman School of Public Health (Epidemiology Division), Columbia University, New York 10027, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't