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A nonparametric approach for mapping quantitative trait loci.
Open accessAbstract
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.
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Cited by
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Gene–Environment Interaction in Yeast Gene Expression
Smith, E. N., & Kruglyak, L. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060083 · Cited by 391
Self-citationZhu, J., Sova, P., Xu, Q., Dombek, K. M., Xu, E. Y., Vu, H., Tu, Z., Brem, R. B., Bumgarner, R. E., & Schadt, E. E. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001301 · Cited by 205
Genetic and physiologic analysis of the role of uncoupling protein 3 in human energy homeostasis.
Chung, W. K., Luke, A., Cooper, R. S., Rotini, C., Vidal-Puig, A., Rosenbaum, M., Chua, M., Solanes, G., Zheng, M., Zhao, L., et al. (1999) · Diabetes · doi:10.2337/diabetes.48.9.1890 · Cited by 48
Metadata
- Authors
- Kruglyak, L., & Lander, E. S.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-03-01
- Volume
- 139
- Issue
- 3
- Pages
- 1421-1428
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2154675483
- Cited by
- 337
- References
- 0
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kruglyak, L., & Lander, E. S. (1995). A nonparametric approach for mapping quantitative trait loci. Genetics. https://doi.org/10.1093/genetics/139.3.1421
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