Gene size matters.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 23152854.
- Also identified by DOI 10.1371/journal.pone.0049093 and PMC identifier PMC2031016.
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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.