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Genetics. 2013 Jul;194(3):781-3. doi: 10.1534/genetics.113.150896. Epub 2013 May 11.

Assessing genome-wide statistical significance for large p small n problems.

Author information

  • 1Department of Statistics, George Mason University, Fairfax, Virginia 22030, USA. gdiao@gmu.edu

Abstract

Assessing genome-wide statistical significance is an important issue in genetic studies. We describe a new resampling approach for determining the appropriate thresholds for statistical significance. Our simulation results demonstrate that the proposed approach accurately controls the genome-wide type I error rate even under the large p small n situations.

KEYWORDS:

experimental cross; genome-wide statistical significance; quantitative trait loci (QTL) mapping; resampling method

PMID:
23666935
[PubMed - indexed for MEDLINE]
PMCID:
PMC3697980
Free PMC Article
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