Authors: Fortney K; Kotlyar M; Jurisica I
Abstract: A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm yields better biomarkers than previous methods - they are more conserved across studies and better predictors of age. We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes.
Keywords: Aging/genetics; Algorithms; Animals; Caenorhabditis elegans/genetics/*physiology; Gene Expression; *Gene Regulatory Networks; Genes, Helminth; Genetic Markers; Longevity/*genetics; Oligonucleotide Array Sequence Analysis/*methods|
Journal: Genome biology Volume: 11 Issue: 2 Pages: R13 Date: Feb. 5, 2010 PMID: 20128910 |
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Fortney K, Kotlyar M, Jurisica I (2010) Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging. Genome biology 11: R13.
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