ECCB'14 - W04 - Computational and Systems Biology for Disease Comorbidities

W04 - Workshop on Computational and Systems Biology for Disease Comorbidities

Disease comorbidity – or multimorbidity – exists if 2 or more disorders affect the same individuals more often than expected by chance. Such co-occurrence of diseases are the rule rather than the exception, in particular in ageing populations. Disease comorbidities hence represent a major burden in public health, and greatly affect disease costs and outcomes. But the recent expansion of large-scale biomedical databases and post-genomics disease-related datasets are now offering an unprecedented avenue for the investigations on comorbidities between human disorders. And Computational and Systems Biology are undeniable actors of such investigations.

8h-9h Welcome

Session 1 – Discovering Disease Comorbidities

9h-9h45 Keynote Søren Brunak (CBS, Copenhague, Denmark) Extracting fine-grained phenotypes and disease trajectories by data mining of electronic patient records

9h45-10h15 Laura I Furlong (IMIM, Universitat Pompeu Fabra, Barcelona, Spain) PsyGeNET: a curated resource on associations between genes and psychiatric disorders. Application to the study of the comorbidities between alcohol and cocaine dependencesand depression

10h15- 10h45h Coffee break

Session 2 – Interpreting Disease Comorbidities

10h45- 11h30 Keynote Ioannis Xenarios (SIB, Lausanne, Switzerland) Evidence and Inference - how expert curation helps shape the knowledge representation and how can be used for co-morbidities studies

11h30-12h Jane A Driver (Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA) Cellular Teleology and the Inverse Association between Cancer and Alzheimer's disease

12h-13h30 Lunch

13h30-14h15 Keynote Alfonso Valencia (CNIO, Madrid, Spain) Molecular Evidence for the Inverse Comorbidities between CNS and Cancer detected by transcriptomic meta-analyses

14h15- 14h45 Paulina Gomez (CNIO, Madrid, Spain) Comorbidities and omics data integration towards a pancreas cancer risk prediction model

Session 3 – Using Disease Comorbidities

14h45-15h30 Keynote Patrick Aloy (IRB, Barcelona, Spain) Blending chemistry and biology to understand human health and disease

15h30-16h Anaïs Baudot (CNRS, Marseille, France) Functional Module approach for the study of Prostate Cancer and Disease Comorbidities

16h-16h20 Coffee break

16h20- 17h Round table

17h End of the conference, departure to the ECCB opening lecture.

Organisers

Anaïs Baudot, CNRS, Marseille, France. Contact: anais.baudot [at] univ-amu.fr

Alfonso Valencia, CNIO, Madrid, Spain

Key dates

Workshop: September, 7, 2014