Linked Life Data

10911947

Source:http://linkedlifedata.com/resource/pubmed/id/10911947

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2000-8-17
pubmed:abstractText
An aging population of humans reflects early-onset morbidity and mortality as well as late-onset disease in the phase when the mortality rate doubles and, finally, longevity of extremely long-lived subjects. Genetic influences have been reported to be relevant for each of these three phases. A growing field in genetic research is aimed at the identification of genes involved in multifactorial diseases of the old and in longevity. Important issues in these studies include the definition of phenotype, which maximally highlights the genetic contribution, whether earlier and later onset phenotypes have loci in common, and how to rank or reject the many candidate disease loci found in different studies. These issues will be illustrated from research on cardiovascular disease and osteoarthritis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0077-8923
pubmed:author
pubmed:issnType
Print
pubmed:volume
908
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
50-63
pubmed:dateRevised
2005-11-16
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Genetics of human aging. The search for genes contributing to human longevity and diseases of the old.
pubmed:affiliation
Gaubius Laboratory, TNO Prevention and Health, Leiden, The Netherlands. p.slagboom@pg.tno.nl
pubmed:publicationType
Journal Article, Review