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Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging.

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.

SUBMITTER: Fortney K

PROVIDER: S-EPMC2872873 | biostudies-other | 2010

REPOSITORIES: biostudies-other

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Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging.

Fortney Kristen K Kotlyar Max M Jurisica Igor I

Genome biology 20100203 2

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 ...[more]

PMID: 20128910

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