Gene-based Genomewide Association Analysis: A Comparison Study.

The objective of this study is to compare the performance of the entropy-based method with the minimum p-value and single SNP-based analysis and to explore their strengths and weaknesses. Simulation studies show that: 1) all three methods can reasonably control the false-positive rate; 2) the minimum p-value method outperforms the entropy-based and the single SNP-based method when only one disease-related SNP occurs within the gene; 3) the entropy-based method outperforms the other methods when there are more than two disease-related SNPs in the gene; and 4) the entropy-based method is computationally more efficient than the minimum p-value method. Application to a real data set shows that more significant genes were identified by the entropy-based method than by the other two methods.
PMID: 24294105 [PubMed]

Source: Current Genomics - November 15, 2014 Category: Genetics & Stem Cells Tags: Curr Genomics Source Type: research