Berlin 2018 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 66: Poster: Stat. Phys. (Gen., Critical Phen., Biol.)
DY 66.12: Poster
Thursday, March 15, 2018, 15:30–18:00, Poster A
Superposition of survival curves as a tool for epistasis analysis of longevity interventions — Stefan Nowak1,2, Johannes Neidhart1,2,3, •Jonas Rzezonka1,2, Ivan G. Szendro1,2, Rahul Marathe1,2,4, and Joachim Krug1,2 — 1Sybacol, Universität zu Köln, Köln, Germany — 2ITP, Universität zu Köln, Köln, Germany — 3MBR Optical Systems, Wuppertal, Germany — 4Department of Physics, IIT Delhi, New Delhi, India
A problem in ageing research is to understand how different factors contributing to longevity should be expected to act in combination under the assumption that they are independent. Standard epistasis analysis compares the extension of mean lifespan achieved by a combination of interventions to the prediction under an additive or multiplicative null model, but neither model is fundamentally justified. Moreover, the target of longevity interventions is not mean life span but the entire survival curve. We formulated superposition principles that predict the survival curve resulting from a combination of two interventions based on the survival curves of the individual treatments, and quantify epistasis as the deviation from this prediction [1]. We test the method on a published data set comprising survival curves for all combinations of 4 different longevity interventions in Caenorhabditis elegans [2]. We find that epistasis is generally weak even when the standard analysis indicates otherwise.
[1] Nowak S, Neidhart J, Rzezonka J, Szendro IG, Marathe R and Krug J (2017) bioRxiv https://doi.org/10.1101/147173.
[2] Yen K, Mobbs CV (2010). AGE 32:39-49