Genome-wide estimation of gender differences in the gene expression of human livers: statistical design and analysis

BMC Bioinformatics. 2005 Jul 15;6 Suppl 2(Suppl 2):S13. doi: 10.1186/1471-2105-6-S2-S13.

Abstract

Background: Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that adjusted for sources of variation associated with cDNA arrays, normalization, hybridizations and processing conditions.

Results: The genes were split into 2,800 that were clearly expressed (expressed genes) and 28,310 that had expression levels in the background range (not expressed genes). The distribution of p-values from the 'not expressed' group was consistent with no gender differences. The distribution of p-values from the 'expressed' group suggested that 8% of these genes differed by gender, but the estimated fold-changes (expression in males/expression in females) were small. The largest observed fold-change was 1.55. The 95% confidence bounds on the estimated fold-changes were less than 1.4 fold for 79.3%, and few (1.1%) exceed 2-fold.

Conclusion: Observed gender differences in gene expression were small. When selecting genes with gender differences based upon their p-values, false discovery rates exceed 80% for any set of genes, essentially making it impossible to identify any specific genes with a gender difference.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Female
  • Gene Expression / genetics*
  • Gene Expression Profiling* / methods
  • Gene Expression Profiling* / statistics & numerical data
  • Genome, Human / genetics*
  • Humans
  • Liver / physiology*
  • Male
  • Research Design*
  • Sex Characteristics*