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Copyright 2006 by the Genetics Society of America DOI: 10.1534/genetics.105.054650

Summary: Copyright 2006 by the Genetics Society of America
DOI: 10.1534/genetics.105.054650
Quantitative Trait Linkage Analysis Using Gaussian Copulas
Mingyao Li,*,,1
Michael Boehnke,
Goncxalo R. Abecasis
and Peter X.-K. Song
*Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104,
of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan 48109 and

Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
Manuscript received December 12, 2005
Accepted for publication May 23, 2006
Mapping and identifying variants that influence quantitative traits is an important problem for genetic
studies. Traditional QTL mapping relies on a variance-components (VC) approach with the key assumption
that the trait values in a family follow a multivariate normal distribution. Violation of this assumption can
lead to inflated type I error, reduced power, and biased parameter estimates. To accommodate nonnormally
distributed data, we developed and implemented a modified VC method, which we call the ``copula VC


Source: Abecasis, Goncalo - Department of Biostatistics, University of Michigan


Collections: Biology and Medicine; Mathematics