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Public Library of Science, PLoS ONE, 11(7), p. e49093, 2012

DOI: 10.1371/journal.pone.0049093

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Gene Size Matters

Journal article published in 2012 by Alexandra Mirina, Gil Atzmon, Kenny Ye ORCID, Aviv Bergman
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.