Issues with data transformation in genome-wide association studies for phenotypic variability

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 import...

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Detalles Bibliográficos
Autores principales: Shen, Xia, Rönnegård, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2013
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869493/
https://www.ncbi.nlm.nih.gov/pubmed/24555098
http://dx.doi.org/10.12688/f1000research.2-200.v1
Descripción
Sumario: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.

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