Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

Chris C. A. Spencer; Zhan Su; Peter Donnelly; Jonathan Marchini

doi:10.1371/journal.pgen.1000477

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Peer-reviewed

Research Article

Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

Chris C. A. Spencer ,

Contributed equally to this work with: Chris C. A. Spencer, Zhan Su

Affiliation Department of Statistics, University of Oxford, Oxford, United Kingdom
⨯
Zhan Su ,

Contributed equally to this work with: Chris C. A. Spencer, Zhan Su

Affiliation Department of Statistics, University of Oxford, Oxford, United Kingdom
⨯
Peter Donnelly ,

¶These authors also contributed equally to this work.

Affiliation Department of Statistics, University of Oxford, Oxford, United Kingdom
⨯
Jonathan Marchini

* E-mail: marchini@stats.ox.ac.uk

¶These authors also contributed equally to this work.

Affiliation Department of Statistics, University of Oxford, Oxford, United Kingdom
⨯

Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

Chris C. A. Spencer,
Zhan Su,
Peter Donnelly,
Jonathan Marchini

Published: May 15, 2009
https://doi.org/10.1371/journal.pgen.1000477

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Question on acceptable sample size

Posted by rsud on 26 Nov 2011 at 19:22 GMT

The authors state a limitation in one of the previous studies on comparison of chips as "small sample size of 359".
Is there a sense in the field that a certain [minimum] number should be included for the study to NOT be a "small sample study"?

No competing interests declared.

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Single nucleotide polymorphisms
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Genome-wide association studies
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Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

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Question on acceptable sample size

Posted by rsud on 26 Nov 2011 at 19:22 GMT