bioRxiv preprint doi: https://doi.org/10.1101/728881; this version posted August 8, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial Adam Kurkiewicz1*, Anneli Cooper3¤, Emily McIlwaine3, Sarah A. Cumming3, Berit Adam3, Ralf Krahe4, Jack Puymirat5, Benedikt Schoser6, Lubov Timchenko7, Tetsuo Ashizawa 8, Charles Thornton 9, Simon Rogers2Y, John McClure1Y, Darren G Monckton3Y 1 Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom 2 School of Computing Science, University of Glasgow, Glasgow, United Kingdom 3 Institute of Molecular Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom 4 Department of Genetics, University of Texas, MD Anderson Cancer Center, Houston, TX, USA 5 Laboratory of Human Genetics, CHUL Medical Research Centre, University of Laval, Quebec City, QC, Canada 6 Friedrich Baur Institute, Department of Neurology, Ludwig Maximilians University, Munich, Germany 7 Department of Pediatrics, Division of Neurology, Cincinnati Children's Hosptial, University of Cincinnati, College of Medicine, Cincinnati Ohio, USA 8 VA Medical Center, Houston, Texas, USA 9 University of Rochester, Medical Center School of Medicine and Dentistry, Rochester, New York, USA YThese authors contributed equally to this work. ¤Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom *
[email protected] August 7, 2019 1/28 bioRxiv preprint doi: https://doi.org/10.1101/728881; this version posted August 8, 2019.