Abstract #300984

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JSM 2003 Abstract #300984
Activity Number: 66
Type: Invited
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #300984
Title: Linear and Mixed Linear Models for QTL Analysis in Molecular Genetics
Author(s): Hans-Peter Piepho*+
Companies: University Hohenheim
Address: Fruwirthstr 23, 70599 Stuttgart, , , Germany
Keywords: mixed model ; quantitative trait loci ; genotype-by-environment interaction ; model selection
Abstract:

There are a number of methods for mapping quantitative trait loci (QTL), including interval mapping, composite interval mapping, and Bayesian approaches. Typically, the data submitted to analysis comprise two sources: phenotypic data from designed experiments and genetic marker data obtained in the lab. QTL position and effects are usually obtained by a regression of phenotype on marker genotype. To enhance reliability of estimates of QTL parameters, it is useful, if possible, to replicate experiments across multiple environments. This will allow one to study and account for QTL-by-environment interaction and assess stability of QTL effects across multiple environments. Mixed models provide a flexible framework to include in a single-step analysis all relevant sources of random variation (genetic, environmental, subsampling, variation among randomization units). This paper will present a mixed modeling approach to QTL mapping, which is exemplified using different multienvironment datasets. I will present a simple method to determine critical thresholds for QTL detection. Finally, a method denoted as marker pair selection will be considered.

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