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1: Genome Biol. 2008;9(3):R58. Epub 2008 Mar 22.Click here to read Click here to read Links

Indirect genomic effects on survival from gene expression data.

Ferkingstad E, Frigessi A, Lyng H.

Department of Biostatistics and (sfi) Statistics for Innovation, University of Oslo, Gaustadalleen, Oslo, NO-0314, Norway. egil.ferkingstad@medisin.uio.no

In cancer, genes may have indirect effects on patient survival, mediated through interactions with other genes. Methods to study the indirect effects that contribute significantly to survival are not available. We propose a novel methodology to detect and quantify indirect effects from gene expression data. We discover indirect effects through several target genes of transcription factors in cancer microarray data, pointing to genetic interactions that play a significant role in tumor progression.

PMID: 18358079 [PubMed - indexed for MEDLINE]

PMCID: PMC2397510