Gene Size Matters

Alexandra Mirina, Gil Atzmon, Kenny Ye and Aviv Bergman

PLOS ONE, 2012, vol. 7, issue 11, 1-6

Abstract: 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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0049093

DOI: 10.1371/journal.pone.0049093

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