Linkage between quantitative trait loci and marker loci: Resolution power of three statistical approaches in single marker analysis

Abraham B. Korol, Yefim I. Ronin, Valery M. Kirzhner

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a comparison of three methods of parameter estimation in analysis of linkage between a quantitative trait locus (QTL) and a marker locus: maximum likelihood, mean square for trait cumulative distribution function, and method of moments, employing simulated backcross data. The sensitivity of estimates to violation of assumptions of normality and equal variances was also studied. Some measures of discrepancy between the trait distributions in the QTL groups are considered to evaluate the potential dependence of the resolution capacity on the QTL substitution effect with respect to trait mean value and variance.

Original languageEnglish
Pages (from-to)426-441
Number of pages16
JournalBiometrics
Volume52
Issue number2
DOIs
StatePublished - Jun 1996

Keywords

  • Discrepancy of distributions
  • Log-likelihood
  • Mapping
  • Marker-QTL linkage
  • Mean square
  • Moments
  • Nonequal variances
  • Normal mixture decomposition
  • Robustness

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology (all)
  • Immunology and Microbiology (all)
  • Agricultural and Biological Sciences (all)
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Linkage between quantitative trait loci and marker loci: Resolution power of three statistical approaches in single marker analysis'. Together they form a unique fingerprint.

Cite this