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Inferring an individual's "physiological" age from multiple ageing-related phenotypes

Knowles, D (Engineering)
Monday 26 September 2011, 10:30-10:40

Seminar Room 1, Newton Institute


What is ageing? One hypothesis is that ageing is global systemic degradation of multiple organ systems. Based on this assumption we propose a linear model which attempts to infer an individual's "physiological" age from multiple clinical measurements. Inference is performed using the variational Bayes approximation using the Infer.NET framework, a Microsoft Research project akin to WinBUGS. We apply the model to around 6000 individuals in the Twins UK study and look for gene expression levels and SNPs as- sociated with ageing "delta": the di erence between an individual's physiological and chronological age.

We propose an extension allowing non-linear variation of the clinical variables with age using a mixture of experts model. Finally we question whether a model with multiple dimensions of ageing might more closely resemble reality.


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