Graduate students and professionals interested in a flexible QTL mapping approach applicable to single traits in single environments as well as to multiple traits and multiple environments, for standard biparental populations aswell as association panels and multi-parent populations. It is recommended that attendants have some familiarity with analysis of variance, regression, mixed models, and basic quantitative genetic concepts.
QTL mapping is introduced as an extension of mixed model analysis of single traits in single trials. Effectively, on a genomic grid genetic covariates are fitted that represent contrasts in unobserved QTL genotype probabilitiesgiven marker information. The calculation of these genetic covariates will be explained for various types of populations: inbreeders, outbreeders and association panels. After mixed model QTL analysis for single traits in singletrials, extensions will be described for multiple trials and multiple traits. Hands on QTL analyses will done in Windows dialogue form using GenStat.
By the end of the course you should be able to:Construct a genetic map from marker scores on different types of breeding populationsPerform a QTL analysis for a wide array of breeding populations, for single and multiple environments, and single and multiple traitsUse various inference procedures for assessing QTL evidenceReport QTL locations and effects
Theory will be presented in the form of lectures. Supervised practical classes will allow attendants to become familiar with the details of the actions required to perform a QTL analysis in GenStat using Windows’ dialogues. These practical classes will also serve to learn how to interpret QTL mixed model analysis output.