Inferring an individual's "physiological" age from multiple ageing-related phenotypes
Duration: 11 mins 46 secs
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| Description: |
Knowles, D (Engineering)
Monday 26 September 2011, 10:30-10:40 |
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| Created: | 2011-10-03 14:54 |
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| Collection: |
Design and Analysis of Experiments
Cambridge Statistics Initiative 2011 |
| Publisher: | Isaac Newton Institute |
| Copyright: | Knowles, D |
| Language: | eng (English) |
| Abstract: | 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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