Gene size matters.
Ontology highlight
ABSTRACT:
SUBMITTER: Mirina A
PROVIDER: S-EPMC3494661 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Publications
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 fir ...[more]
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