Publications

Ali Al-Fatlawi, Negin Malekian, Sebastián Garc\'ıa, Andreas Henschel, Ilwook Kim, Andreas Dahl, Beatrix Jahnke, Peter Bailey, Sarah Naomi Bolz, Anna R Poetsch, Sandra Mahler, Robert Grützmann, Christian Pilarsky, und Michael Schroeder. Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, Mai 2021. [PUMA: cancer; pancreatitis; study transcriptome-wide deep learning; topic_lifescience association pancreatic chronic]

Janne Pott, Valentin Schlegel, Andrej Teren, Katrin Horn, Holger Kirsten, Christina Bluecher, Juergen Kratzsch, Markus Loeffler, Joachim Thiery, Ralph Burkhardt, und Markus Scholz. Genetic regulation of PCSK9 (proprotein convertase subtilisin/Kexin type 9) plasma levels and its impact on atherosclerotic vascular disease phenotypes. Circ. Genom. Precis. Med., (11)5:e001992, Ovid Technologies (Wolters Kluwer Health), Mai 2018. [PUMA: genome-wide study atherosclerosis; association]

Thomas W Winkler, Felix Grassmann, Caroline Brandl, Christina Kiel, Felix Günther, Tobias Strunz, Lorraine Weidner, Martina E Zimmermann, Christina A Korb, Alicia Poplawski, Alexander K Schuster, Martina Müller-Nurasyid, Annette Peters, Franziska G Rauscher, Tobias Elze, Katrin Horn, Markus Scholz, Marisa Cañadas-Garre, Amy Jayne McKnight, Nicola Quinn, Ruth E Hogg, Helmut Küchenhoff, Iris M Heid, Klaus J Stark, und Bernhard H F Weber. Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease. BMC Med. Genomics, (13)1:120, Springer Science and Business Media LLC, August 2020. [PUMA: macular study (IAMDGC); consortium association TYR; Genome-wide Age-related degeneration (GWAS); UK Machine-learning; AMD CD46; (UKBB) Early genomics (AMD); phenotyping; Meta-analysis; biobank Automated AMD; International]