ArticleProceedings of the National Academy of Sciences of the United States of America2007
A unified framework for linkage and association analysis of quantitative traits.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Genetic associations with expression for genes implicated in GWAS studies for atherosclerotic cardiovascular disease and blood phenotypes.Human molecular genetics · 2014Article
- Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic.BMC proceedings · 2009Article
- Mapping quantitative traits in unselected families: algorithms and examples.Genetic epidemiology · 2009Article
- Linear models for joint association and linkage QTL mapping.Genetics, selection, evolution : GSE · 2009Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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