Abstract
The authors show how the genetic effect of a quantitative trait locus can be estimated by a non-parametric empirical likelihood method when the phenotype distributions are completely unspecified. They use an empirical likelihood ratio statistic for testing the genetic effect and obtaining confidence intervals. In addition to studying the asymptotic properties of these procedures, the authors present simulation results and illustrate their approach with a study on breast cancer resistance genes.
Original language | English (US) |
---|---|
Pages (from-to) | 563-574 |
Number of pages | 12 |
Journal | Canadian Journal of Statistics |
Volume | 35 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2007 |
Externally published | Yes |
Keywords
- Empirical likelihood
- Interval mapping
- Nonparametric model
- Normal mixture model
- Profile likelihood
- Quantitative trait loci
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty