Genotype-by-age interaction and identification of longevity-associated genes from microarray data.
Microarray-based comparisons of long-lived and normal mouse strains represent a promising approach for dissecting the basis of lifespan extension in higher organisms. Recently, Boylston et al. (2006) generated a genome-wide data set that allowed expression levels of Snell (Pit1 (dw/dw)) and Ames (Prop1 (df/df)) long-lived mice to be compared with age-matched control mice across different ages (6-24 months). Longevity-associated genes were identified as those genes exhibiting differential expression between long-lived and normal mice at every age examined. In this communication, an alternative approach to identifying longevity-associated genes is suggested and applied to the data sets considered by Boylston et al. (2006). Longevity-associated genes are defined as those exhibiting significant genotype-by-age interaction with respect to expression levels of long-lived and normal mice, and a total of 63 longevity-associated genes are identified. This approach may lend greater confidence to the inference that expression of identified genes specifically underlies aging differences between long-lived and normal genotypes.
Department of Statistics and Probability, Michigan State University, A-413 Wells Hall, East Lansing, MI 48824, USA. swindel5@msu.edu
William R
WR
Swindell