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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2004-2-20
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pubmed:abstractText |
Genes have been found to influence the age of onset of several diseases and traits. The occurrence of many chronic diseases, obesity included, appears to be strongly age-dependent. However, an analysis of potential age of onset genes for obesity has yet to be reported. There are at least two analytic methods for determining an age of onset gene. The first is to consider a person affected if they possess the trait before a certain age (an early age of onset phenotype). The second is to define the phenotype based on the residual from a survival analysis.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-10546690,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-10678263,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-11015792,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-1746554,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-1778661,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-2262200,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-8013898,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-8352276,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-8839517,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-9326333,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-9545016,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-9593115,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975158-9718336
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2156
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
4 Suppl 1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
S90
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pubmed:dateRevised |
2010-11-18
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pubmed:meshHeading |
pubmed-meshheading:14975158-Adult,
pubmed-meshheading:14975158-Adult Children,
pubmed-meshheading:14975158-Age of Onset,
pubmed-meshheading:14975158-Chromosome Mapping,
pubmed-meshheading:14975158-Chromosomes, Human, Pair 1,
pubmed-meshheading:14975158-Chromosomes, Human, Pair 13,
pubmed-meshheading:14975158-Chromosomes, Human, Pair 16,
pubmed-meshheading:14975158-Chromosomes, Human, Pair 17,
pubmed-meshheading:14975158-Chromosomes, Human, Pair 19,
pubmed-meshheading:14975158-Cohort Studies,
pubmed-meshheading:14975158-Female,
pubmed-meshheading:14975158-Genetic Linkage,
pubmed-meshheading:14975158-Genetic Predisposition to Disease,
pubmed-meshheading:14975158-Humans,
pubmed-meshheading:14975158-Male,
pubmed-meshheading:14975158-Obesity,
pubmed-meshheading:14975158-Pedigree,
pubmed-meshheading:14975158-Phenotype,
pubmed-meshheading:14975158-Survival Analysis
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pubmed:year |
2003
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pubmed:articleTitle |
Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study.
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pubmed:affiliation |
Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver, Colorado, USA. Corinne.Engelman@uchsc.edu
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.
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