Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Am. J. Hum. Genet. 71:238253, 2002 Powerful Regression-Based Quantitative-Trait Linkage Analysis

Summary: Am. J. Hum. Genet. 71:238­253, 2002
Powerful Regression-Based Quantitative-Trait Linkage Analysis
of General Pedigrees
Pak C. Sham,1
Shaun Purcell,1
Stacey S. Cherny,1,2
and Gonc¸alo R. Abecasis3
Institute of Psychiatry, King's College, London; 2
Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford; and 3
Center for
Statistical Genetics, University of Michigan, Ann Arbor
We present a new method of quantitative-trait linkage analysis that combines the simplicity and robustness of
regression-based methods and the generality and greater power of variance-components models. The new method
is based on a regression of estimated identity-by-descent (IBD) sharing between relative pairs on the squared sums
and squared differences of trait values of the relative pairs. The method is applicable to pedigrees of arbitrary
structure and to pedigrees selected on the basis of trait value, provided that population parameters of the trait
distribution can be correctly specified. Ambiguous IBD sharing (due to incomplete marker information) can be
accommodated in the method by appropriate specification of the variance-covariance matrix of IBD sharing between


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


Collections: Biology and Medicine; Mathematics