Metapredict is a 4 year project. The first two years involving the collection of clinical data, with the following two years focusing on OMIC data production, analysis and modelling. We are now at the stage of producing publications for our first results, so check back here regularly to keep up to date with our latest news.


Work-Package 4/8/9

iGEMS: an integrated model for identification of alternative exon usage events

Sanjana Sood, Krzysztof J. Szkop, Asif Nakhuda, Iain J. Gallagher, Carl Murie, Robert J. Brogan, Jaakko Kaprio, Heikki Kainulainen, Philip J. Atherton, Urho M. Kujala, Thomas Gustafsson, Ola Larsson and James A. Timmons. Nucl. Acids Res. (2016) doi: 10.1093/nar/gkw263


Work-Package 5

Resistance to aerobic exercise training causes metabolic dysfunction and reveals novel exercise-regulated signaling networks

Lessard SJ, Rivas DA, Alves-Wagner AB, Hirshman MF, Gallagher IJ, Constantin-Teodosiu D, et al.
Diabetes 2013 Aug;62(8):2717-2727.


Work-Package 4

Long-term leisure-time physical activity and serum metabolome

Kujala UM, Makinen VP, Heinonen I, Soininen P, Kangas AJ, Leskinen TH, et al.
Circulation 2013 Jan 22;127(3):340-348.

Physical Activity, Fitness, Glucose Homeostasis, and Brain Morphology in Twins

Rottensteiner M1, Leskinen T, Niskanen E, Aaltonen S, Mutikainen S, Wikgren J, Heikkilä K, Kovanen V, Kainulainen H, Kaprio J, Tarkka IM, Kujala UM. Med Sci Sports Exerc. 2014 Jul 7


Background IP

Predictive biomarkers

J Timmons, S Knudsen, et al WO Patent WO/2010/028,256

J Timmons, S Knudsen, et al GB2474618 - awarded 2013