Gene Size Matters

Alexandra Mirina, Gil Atzmon, Kenny Ye, Aviv Bergman

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
Article numbere49093
JournalPLoS ONE
Volume7
Issue number11
DOIs
StatePublished - 9 Nov 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General
  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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