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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
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pubmed:dateCreated |
1985-12-16
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pubmed:abstractText |
In most genetic studies in humans the variability in a quantitative trait is adjusted for variability in concomitants (age, sex, etc) using a single regression equation prior to analyses of pedigree data. To illustrate an alternative approach, a single locus genetic model was tested. This model incorporates genotypic effects on the level of the trait, the variability in the trait, and the relationship between a concomitant and the trait. In this study, the model was applied to measures of age and low-density lipoprotein (LDL) cholesterol in a large kindred with familial hypercholesterolemia. The application of this model to 322 individuals in four generations provided evidence that genotypic variation at a single locus influences LDL levels early in life, the rate of increase of LDL with age and the phenotypic variance. A model with genotype-dependent slope and variance fit the data significantly better than a model with slope and variance independent of genotype. The inclusion of age-specific genotypic differences contributed to identification of high-risk individuals, to statistical support for a major locus, and to evidence for genetic determination of the tracking of LDL levels. Models that incorporate genotype-specific concomitant effects have the potential to represent more realistically the relationship between genotypic variability and quantitative phenotypic variation than models that assume that these effects do not exist.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:issn |
0741-0395
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
301-14
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:6544242-Adolescent,
pubmed-meshheading:6544242-Adult,
pubmed-meshheading:6544242-Age Factors,
pubmed-meshheading:6544242-Aged,
pubmed-meshheading:6544242-Biometry,
pubmed-meshheading:6544242-Child,
pubmed-meshheading:6544242-Child, Preschool,
pubmed-meshheading:6544242-Cholesterol, LDL,
pubmed-meshheading:6544242-Female,
pubmed-meshheading:6544242-Genotype,
pubmed-meshheading:6544242-Humans,
pubmed-meshheading:6544242-Hyperlipoproteinemia Type II,
pubmed-meshheading:6544242-Male,
pubmed-meshheading:6544242-Middle Aged,
pubmed-meshheading:6544242-Models, Genetic,
pubmed-meshheading:6544242-Pedigree,
pubmed-meshheading:6544242-Regression Analysis
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pubmed:year |
1984
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pubmed:articleTitle |
An application of a model for a genotype-dependent relationship between a concomitant (age) and a quantitative trait (LDL cholesterol) in pedigree data.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
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