Gene Size Matters

In this work we show that in genome-wide association studies (GWAS) there is a strong bias favoring of genes covered by larger numbers of SNPs. Thus, we state here that there is a need for correction for such bias when performing downstream gene-level analysis, e. g. pathway analysis and gene-set analysis. We investigate several methods of obtaining gene level statistical significance in GWAS, and compare their effectiveness in correcting such bias. We also propose a simple algorithm based on first order statistic that corrects such bias. Citation: Mirina A, Atzmon G, Ye K, Bergman A (2012) Gene Size Matters. PLoS ONE 7(11): e49093. doi: 10.1371/journal.pone.