Mapping quantitative trait loci in oligogenic models.
We discuss strategies for mapping quantitative trait loci with emphasis on certain issues of study design that have recently received attention: e.g. genotyping only selected pedigrees and the comparative value of large pedigrees versus sib pairs. We use a standard variance components model and a parametrization of the genetic effects in which the 'segregation' parameters are locally orthogonal to the 'linkage' parameters. This permits simple explicit expressions for the expectation of the score statistic, which we use to compare the power of different strategies. We also discuss robustness of the score statistic.
Tang
H K
HK
Department of Statistics, 390 Serra Mall, Sequoia Hall, Stanford University, Stanford, CA 94305-4065, USA. dos@stat.stanford.edu
Siegmund
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