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Issues with data transformation in genome-wide association studies for phenotypic variability
SLUDivision of Computational Genetics, Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala.
Dalarna University, School of Technology and Business Studies, Statistics. Division of Quantitative Genetics, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala.ORCID iD: 0000-0002-1057-5401
2013 (English)In: F1000Research, ISSN 2046-1402, Vol. 2, no 200Article in journal, Letter (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2013. Vol. 2, no 200
National Category
Genetics
Research subject
Komplexa system - mikrodataanalys, General Microdata Analysis - methods
Identifiers
URN: urn:nbn:se:du-13609DOI: 10.12688/f1000research.2-200.v1OAI: oai:DiVA.org:du-13609DiVA: diva2:686776
Available from: 2014-01-13 Created: 2014-01-13 Last updated: 2015-06-08Bibliographically approved

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Publisher's full texthttp://f1000research.com/articles/2-200/v1

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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