Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.stamet.2008.09.004
Title: A new interval mapping approach based on a general sib-pair regression model with a modified Wald test
Authors: Li, W.
Chen, Z. 
Keywords: Interval mapping
Quantitative trait loci mapping
Sib-pair regression model
Wald test
Issue Date: May-2009
Citation: Li, W., Chen, Z. (2009-05). A new interval mapping approach based on a general sib-pair regression model with a modified Wald test. Statistical Methodology 6 (3) : 251-261. ScholarBank@NUS Repository. https://doi.org/10.1016/j.stamet.2008.09.004
Abstract: Various regression models based on sib-pair data have been developed for mapping quantitative trait loci (QTL) in humans since the seminal paper published in 1972 by Haseman and Elston. Fulker and Cardon [D.W. Fulker, L.R. Cardon, A sib-pair approach to interval mapping of quantitative trait loci, Am. J. Hum. Genet. 54 (1994) 1092-1103] adapted the idea of interval mapping [E.S. Lander, D. Botstein, Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps, Genetics 121 (1989) 185-199] to the Haseman-Elston regression model in order to increase the power of QTL mapping. However, in the interval mapping approach of Fulker and Cardon, the statistic for testing QTL effects does not obey the classical statistical theory and hence critical values of the test can not be appropriately determined. In this article, we consider a new interval mapping approach based on a general sib-pair regression model. A modified Wald test is proposed for the testing of QTL effects. The asymptotic distribution of the modified Wald test statistic is provided and hence the critical values or the p-values of the test can be well determined. Simulation studies are carried out to verify the validity of the modified Wald test and to demonstrate its desirable power. © 2008 Elsevier B.V. All rights reserved.
Source Title: Statistical Methodology
URI: http://scholarbank.nus.edu.sg/handle/10635/104947
ISSN: 15723127
DOI: 10.1016/j.stamet.2008.09.004
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