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Treating phenotype as given: a simple resampling method for genome-wide association studies
Journal article   Open access   Peer reviewed

Treating phenotype as given: a simple resampling method for genome-wide association studies

Kai Wang and Jian Huang
BMC proceedings, Vol.5(Suppl 9), pp.S60-S60
11/29/2011
DOI: 10.1186/1753-6561-5-S9-S60
PMCID: PMC3287899
PMID: 22373312
url
https://doi.org/10.1186/1753-6561-5-S9-S60View
Published (Version of record) Open Access

Abstract

Significance of genetic association to a marker has been traditionally evaluated through statistics that are standardized such that their null distributions conform to some known ones. Distributional assumptions are often required in this standardization procedure. Based on the observation that the phenotype remains the same regardless of the marker being investigated, we propose a simple statistic that does not need such standardization. We propose a resampling procedure to assess this statistic’s genome-wide significance. This method has been applied to replicate 2 of the Genetic Analysis Workshop 17 simulated data on unrelated individuals in an attempt to map phenotype Q2. However, none of the selected SNPs are in genes that are disease-causing. This may be due to the weak effect that each genetic factor has on Q2.
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