Linked Life Data

10371754

Source:http://linkedlifedata.com/resource/pubmed/id/10371754

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1999-7-19
pubmed:abstractText
Molecular epidemiological studies confirm tremendous variability in genetic and environmental susceptibility to disease and death for humans. This variability as well as the roles of genetic and environmental factors in susceptibility to death can be estimated in the analysis of survival data on related individuals (e.g., twins). In this paper, correlated gamma-frailty models are applied to survival data on Swedish twins to estimate genetic parameters in six models of susceptibility. It is shown that the frailty model with additive genetic and nonshared environmental components fits the data best. The estimate of narrow-sense heritability in gamma frailty is about 50%. The results of genetic analysis confirm our earlier findings from the studies of Danish twins that about 50% of individual susceptibility approximated by gamma-distributed frailty is heritable.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0001-8244
pubmed:author
pubmed:issnType
Print
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
11-9
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Half of the variation in susceptibility to mortality is genetic: findings from Swedish twin survival data.
pubmed:affiliation
Max Planck Institute for Demographic Research, Rostock, Germany. yashin@demogr.mpg.de
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't, Twin Study