A unified framework for linkage and association analysis of quantitative traits

Josée Dupuis*, David O. Siegmund, Benjamin Yakir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageAmerican English
Pages (from-to)20210-20215
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume104
Issue number51
DOIs
StatePublished - 18 Dec 2007

Keywords

  • Genetic association
  • Genetics
  • Score statistic

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