title: Issues with data transformation in genome-wide association studies for phenotypic variability.
abstract: The purpose of this correspondence is to discuss and clarify a few points about data transformation used in genome-wide association studies, especially for phenotypic variability. By commenting on the recent publication by Sun et al. in the American Journal of Human Genetics, we emphasize the importance of statistical power in detecting functional loci and the real meaning of the scale of the phenotype in practice.
authors.affiliation: Division of Computational Genetics, Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, SE-750 07, Sweden.
authors.forename: Xia
authors.initials: X
authors.lastname: Shen
authors.affiliation: Statistics, School of Technology and Business Studies, Dalarna University, Falun, SE-791 88, Sweden ; Division of Quantitative Genetics, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, SE-750 07, Sweden.
authors.forename: Lars
authors.initials: L
authors.lastname: Rönnegård