Gene Size Matters

Alexandra Mirina, Gil Atzmon, Kenny Ye, Aviv Bergman

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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.

Original languageEnglish (US)
Article numbere49093
JournalPloS one
Issue number11
StatePublished - Nov 9 2012

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General


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