Title: Regression-based sib pair linkage analysis for binary traits
Authors: Zeegers, Maurice ×
Rice, John P
Rijsdijk, Frühling V
Abecasis, Goncalo R
Sham, Pak C #
Issue Date: Jan-2003
Series Title: Human heredity vol:55 issue:2-3 pages:125-31
Abstract: The Haseman-Elston (HE) regression method offers a mathematically and computationally simpler alternative to variance-components (VC) models for the linkage analysis of quantitative traits. However, current versions of HE regression and VC models are not optimised for binary traits. Here, we present a modified HE regression and a liability-threshold VC model for binary-traits. The new HE method is based on the regression of a linear combination of the trait squares and the trait cross-product on the proportion of alleles identical by descent (IBD) at the putative locus, for sibling pairs. We have implemented both the new HE regression-based method and have performed analytic and simulation studies to assess its type 1 error rate and power under a range of conditions. These studies showed that the new HE method is well-behaved under the null hypothesis in large samples, is more powerful than both the original and the revisited HE methods, and is approximately equivalent in power to the liability-threshold VC model.
ISSN: 0001-5652
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Academic Center for General Practice
× corresponding author
# (joint) last author

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