unified framework for linkage and association analysis of quantitative traits

We give a unified treatment of the statistical foundations of population based association mapping and of family based linkage mapping of quantitative traits in humans. A central ingredient in the unification involves the efficient score statistic. The discussion focuses on generalized linear models...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2007-12, Vol.104 (51), p.20210-20215
Main Authors: Dupuis, Josée, Siegmund, David O, Yakir, Benjamin
Format: Article
Language:English
Subjects:
Analysis
Chromosome Mapping
Covariance matrices
Data Interpretation, Statistical
Genetic inheritance
Genetic loci
Genotypes
Human genetics
Humans
Medical genetics
Models, Genetic
Parametric models
Pedigree
Phenotypes
Physical Sciences
Quantitative genetics
Quantitative Trait Loci
Statistical variance
Statistics
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Summary:We give a unified treatment of the statistical foundations of population based association mapping and of family based linkage mapping of quantitative traits in humans. A central ingredient in the unification involves the efficient score statistic. The discussion focuses on generalized linear models with an additional illustration of the Cox (proportional hazards) model for age of onset data. We give analytic expressions for noncentrality parameters and show how they give qualitative insight into the loss of power that occurs if the scientist's assumed genetic model differs from nature's "true" genetic model. Issues to be studied in detail in the future development of this approach are discussed.
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.0707138105