Work

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

Year: 2011

Type: article

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.

Source: BMC Proceedings

DOI: 10.1186/1753-6561-5-s9-s60

Authors: Kai Wang, Jian Huang

Institution: University of Iowa

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,290

Funders: National Science Foundation, National Institutes of Health, National Institute of Environmental Health Sciences