Abstract
Abstract Genetic mapping of quantitative trait loci (QTLs) is performed typically by using a parametric approach, based on the assumption that the phenotype follows a normal distribution. Many traits of interest, however, are not normally distributed. In this paper, we present a nonparametric approach to QTL mapping applicable to any phenotypic distribution. The method is based on a statistic ZW, which generalizes the nonparametric Wilcoxon rank-sum test to the situation of whole-genome search by interval mapping. We determine the appropriate significance level for the statistic ZW, by showing that its asymptotic null distribution follows an Ornstein-Uhlenbeck process. These results provide a robust, distribution-free method for mapping QTLs.
Dates
Type | When |
---|---|
Created | 4 years, 7 months ago (Jan. 13, 2021, 4:12 p.m.) |
Deposited | 4 years, 4 months ago (April 22, 2021, 3:33 p.m.) |
Indexed | 2 days, 19 hours ago (Sept. 3, 2025, 6:01 a.m.) |
Issued | 30 years, 6 months ago (March 1, 1995) |
Published | 30 years, 6 months ago (March 1, 1995) |
Published Online | 30 years, 6 months ago (March 1, 1995) |
Published Print | 30 years, 6 months ago (March 1, 1995) |
@article{Kruglyak_1995, title={A nonparametric approach for mapping quantitative trait loci.}, volume={139}, ISSN={1943-2631}, url={http://dx.doi.org/10.1093/genetics/139.3.1421}, DOI={10.1093/genetics/139.3.1421}, number={3}, journal={Genetics}, publisher={Oxford University Press (OUP)}, author={Kruglyak, L and Lander, E S}, year={1995}, month=mar, pages={1421–1428} }