Case study I

Part of the Statistics for Biology and Health book series (SBH)

In this chapter and the next, we present two case studies to illustrate the QTL mapping process in its entirety. We bring together tools from previous chapters and demonstrate their combined use to solve two moderately difficult problems. Both case studies have features that require special handling. In this sense they are not typical. On the other hand, almost every dataset has quirks that require an alert analyst to recognize them and respond accordingly. Our case studies illustrate the investigative process of QTL data analysis and improvisation using R/qtl.


Multiple Imputation Combine Data Selective Genotyping Initial Cross Left Triangle 


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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Biostatistics & Medical InformaticsUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Dept. Epidemiology & BiostatisticsUniversity of California San FranciscoSan FranciscoUSA

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