Abstract
There is a growing perception that medical treatment could be effective against aging although not as one intensive short time medication as we do with infections. It will require a precise, personalised knowledge of the genes and pathways that are perturbed during the progression to aging. Environmental factors, parental longevity and childhood are important predictors of exceptional longevity. Here we analyse molecular data (gene expression) from ”healthy” controls of different age from several studies and we identify perturbations in key pathways affecting the susceptibility to several diseases. This work is exploratory and provide a useful test on existing data and methods for future studies.
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Lió, P. (2014). Computing Longevity: Insights from Controls. In: Fages, F., Piazza, C. (eds) Formal Methods in Macro-Biology. FMMB 2014. Lecture Notes in Computer Science(), vol 8738. Springer, Cham. https://doi.org/10.1007/978-3-319-10398-3_4
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DOI: https://doi.org/10.1007/978-3-319-10398-3_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10397-6
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