Prognostic and diagnostic technology

Genomics is changing they way we implement medical treatment and offer medical advice. RNA profiling is the most reliable and sensitive technology to capture gene-environment interactions in humans - yielding insight into individual responses to drug-treatment and disease. We specialise in implementing advanced clinical informatics to develop diagnostics for chronic disease including:

  • A patented strategy for utilising RNA classification models to help discover genomic diagnostics (GB-2474618)

  • A diagnostic for biological age that has proven utility in Dementia Research (patent pending)

  • Diagnostics for pre-clinical cardio-metabolic disease and treatment response predictors



Dr Jamie Timmons PhD -

Dr Iain J Gallagher Phd -

Dr Niels Vollaard PhD -

Mr Krzysztof Szkop MSc -

Miss Sanjana Sood MSc -

Dr Robbie Brogan MBChB -


Recent publications including XRGenomics Scientists

Sood S, Gallagher IJ, Lunnon, K, Rullman, E, Keohane A, Crossland H, Phillips BE, Cederholm T, Jensen T, van Loon LJC, Lannfelt L, Kraus WE, Atherton PJ, Howard, R, Gustafsson T, Hodges A and Timmons JA. A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status. In Press, Genome Biology. 2015.

Phillips BE, Williams JP, Gustafsson T, Bouchard C, Rankinen T, Knudsen S, Smith K, Timmons JA and PJ Atherton. Molecular networks of human muscle adaptation to exercise and age. PloS Genetics. 2013

Gallagher IJ, Stephens NA, MacDonald AJ, Skipworth RJE, Husi H, Greig CA, Ross JA, Timmons JA, Fearon KCH. Suppression of skeletal muscle turnover in cancer cachexia: evidence from the transcriptome in sequential human muscle biopsies. Clinical Cancer Research, 2012

Gallagher IJ, Scheele C, Keller P, Nielsen AR, Remenyi J, Fischer CP, Roder K, Babraj J, Wahlestedt C, Hutvagner G, and Timmons JA. Integration of microRNA changes in vivo identifies novel molecular features of muscle insulin resistance in type 2 diabetes. Genome Medicine, 2010 2:9 

Timmons JA, Knudsen S, Rankinen T, Koch LG, Sarzynski MA, Jensen T, Keller P, Vollaard NB, Nielsen S, Akerström T, Macdougald OA, Jansson E, Tarnopolsky MA, van Loon LJ, Sundberg CJ, Wahlestedt C, Britton SL, Bouchard C. Discovery and validation of a molecular signature that predicts gains in human maximal aerobic capacity. J Appl Physiology 2010.