Not by systems alone: identifying functional outliers in rare disease pedigrees
bioRxiv(2018)
Abstract
In disease expression analysis, looking for shared functional signals from a set of genes which exhibit differential expression is commonplace. We examine the complement as a possibility, that disease genes display or unexpected expression relative to broader patterns of functional expression variation. Using six families from the rare TAF1 syndrome disease cohort, we performed family-specific differential expression analyses and find that functional characterization of top candidates enriches for common pathways unlikely to be specifically linked to disease. However, by filtering away common expression changes using known co-expression, we lose all functional enrichment and are left with a small number of outliers characteristic of each proband. Two of these outlier genes are highly recurrent across pedigrees (FDR
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Key words
Systems biology analysis,Replicability,Gene set enrichment,Co-expression analysis,<italic>TAF1</italic> syndrome,Huntington’,s disease,Parkinsons’,s disease,Schizophrenia,Meta-analysis,Disease differential expression
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