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
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author Shen, Xia
Rönnegård, Lars
author_facet Shen, Xia
Rönnegård, Lars
author_sort Shen, Xia
collection PubMed
description 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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spelling pubmed-38694932013-12-27 Issues with data transformation in genome-wide association studies for phenotypic variability Shen, Xia Rönnegård, Lars F1000Res Correspondence 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. F1000Research 2013-10-02 /pmc/articles/PMC3869493/ /pubmed/24555098 http://dx.doi.org/10.12688/f1000research.2-200.v1 Text en Copyright: © 2013 Shen X et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
spellingShingle Correspondence
Shen, Xia
Rönnegård, Lars
Issues with data transformation in genome-wide association studies for phenotypic variability
title Issues with data transformation in genome-wide association studies for phenotypic variability
title_full Issues with data transformation in genome-wide association studies for phenotypic variability
title_fullStr Issues with data transformation in genome-wide association studies for phenotypic variability
title_full_unstemmed Issues with data transformation in genome-wide association studies for phenotypic variability
title_short Issues with data transformation in genome-wide association studies for phenotypic variability
title_sort issues with data transformation in genome-wide association studies for phenotypic variability
topic Correspondence
url 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
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