Detection and parameter estimation for quantitative trait loci using regression models and multiple markers

Yang Da, Paul M. VanRaden, Lawrence B. Schook

Research output: Contribution to journalArticle

Abstract

A strategy of multi-step minimal conditional regression analysis has been developed to determine the existence of statistical testing and parameter estimation for a quantitative trait locus (QTL) that are unaffected by linked QTLs. The estimation of marker-QTL recombination frequency needs to consider only three cases: 1) the chromosome has only one QTL, 2) one side of the target QTL has one or more QTLs, and 3) either side of the target QTL has one or more QTLs. Analytical formula was derived to estimate marker-QTL recombination frequency for each of the three cases. The formula involves two flanking markers for case 1), two flanking markers plus a conditional marker for case 2), and two flanking markers plus two conditional markers for case 3). Each QTL variance and effect, and the total QTL variance were also estimated using analytical formulae. Simulation data show that the formulae for estimating marker-QTL recombination frequency could be a useful statistical tool for fine QTL mapping. With 1000 observations, a QTL could be mapped to a narrow chromosome region of 1.5 cM if no linked QTL is present, and to a 2.8 cM chromosome region if either side of the target QTL has at least one linked QTL.

Original languageEnglish (US)
Pages (from-to)357-381
Number of pages25
JournalGenetics Selection Evolution
Volume32
Issue number4
StatePublished - Sep 26 2000
Externally publishedYes

Keywords

  • Multiple markers
  • QTL detection
  • QTL parameters
  • Quantitative trait loci
  • Regression analysis

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Genetics
  • Genetics(clinical)
  • Ecology, Evolution, Behavior and Systematics

Fingerprint Dive into the research topics of 'Detection and parameter estimation for quantitative trait loci using regression models and multiple markers'. Together they form a unique fingerprint.

  • Cite this