Recent publications
2020
Lessons learned from 40 novel PIGA patients and a review of the literature
Bayat, A, Knaus, A, Pendziwiat, M, Afenjar, A, Barakat, TS, Bosch, F, Callewaert, B, Calvas, P, Ceulemans, B, Chassaing, N, Depienne, C, Endziniene, M, Ferreira, CR, Moura de Souza, CF, Freihuber, C, Ganesan, S, Gataullina, S, Guerrini, R, Guerrot, A, Hansen, L, Jezela-Stanek, A, Karsenty, C, Kievit, A, Kooy, FR, Korff, CM, Kragh Hansen, J, Larsen, M, Layet, V, Lesca, G, McBride, KL, Meuwissen, M, Mignot, C, Montomoli, M, Moore, H, Naudion, S, Nava, C, Nougues, M, Parrini, E, Pastore, M, Schelhaas, JH, Skinner, S, Szczałuba, K, Thomas, A, Thomassen, M, Tranebjærg, L, van Slegtenhorst, M, Wolfe, LA, Lal, D, Gardella, E, Bomme Ousager, L, Brünger, T, Helbig, I, Krawitz, P, and Møller, RS (2020).
Epilepsia, 61(6):1142-1155.
DRD4 48 bp multiallelic variants as age-population-specific biomarkers in attention-deficit/hyperactivity disorder
Bonvicini, C, Cortese, S, Maj, C, Baune, BT, Faraone, SV, and Scassellati, C (2020).
Translational Psychiatry, 10(1):70.
Chapter 21 - Genetics and pharmacogenetics of attention deficit hyperactivity disorder in childhood and adulthood
Bonvicini, C, Maj, C, and Scassellati, C (2020).
In: Personalized Psychiatry, ed. by Bernhard T. Baune, pp. 253 - 274, Academic Press, San Diego. (ISBN: 978-0-12-813176-3).
Significantly different clinical phenotypes associated with mutations in synthesis and transamidase+remodeling glycosylphosphatidylinositol (GPI)-anchor biosynthesis genes
Carmody, LC, Blau, H, Danis, D, Zhang, XA, Gourdine, J, Vasilevsky, N, Krawitz, P, Thompson, MD, and Robinson, PN (2020).
Orphanet Journal of Rare Diseases, 15(1):40.
Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals
Dieck, S, Ibarra, M, Moghul, I, Yeung, MW, Pantel, JT, Thiele, S, Pfau, M, Fleckenstein, M, Pontikos, N, and Krawitz, PM (2020).
Translational Vision Science & Technology, 9(7):8-8.
Sex-Specific Genetic Associations for Barrett’s Esophagus and Esophageal Adenocarcinoma
Dong, J, Maj, C, Tsavachidis, S, Ostrom, QT, Gharahkhani, P, Anderson, LA, Wu, AH, Ye, W, Bernstein, L, Borisov, O, Schröder, J, Chow, W, Gammon, MD, Liu, G, Caldas, C, Pharoah, PD, Risch, HA, May, A, Gerges, C, Anders, M, Venerito, M, Schmidt, T, Izbicki, JR, Hölscher, AH, Schumacher, B, Vashist, Y, Neuhaus, H, Rösch, T, Knapp, M, Krawitz, P, Böhmer, A, Iyer, PG, Reid, BJ, Lagergren, J, Shaheen, NJ, Corley, DA, Gockel, I, Fitzgerald, RC, Dong, J, Maj, C, Tsavachidis, S, Ostrom, QT, Gharahkhani, P, Anderson, LA, Wu, AH, Ye, W, Bernstein, L, Borisov, O, Schröder, J, Chow, W, Gammon, MD, Liu, G, Caldas, C, Pharoah, PD, Risch, HA, May, A, Gerges, C, Anders, M, Venerito, M, Schmidt, T, Izbicki, JR, Hölscher, AH, Schumacher, B, Vashist, Y, Neuhaus, H, Rösch, T, Knapp, M, Krawitz, P, Böhmer, A, Iyer, PG, Reid, BJ, Lagergren, J, Shaheen, NJ, Corley, DA, Gockel, I, Fitzgerald, RC, Cook, MB, Whiteman, DC, Vaughan, TL, Schumacher, J, Thrift, AP, Cook, MB, Whiteman, DC, Vaughan, TL, Schumacher, J, and Thrift, AP (2020).
Gastroenterology, 159(6):2065 - 2076.e1.
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression
Hassanin, E, Spier, I, BoKoutsouleris, N, Dwyer, DB, Degenhardt, F, Maj, C, Urquijo-Castro, MF, Sanfelici, R, Popovic, D, Oeztuerk, O, Haas, SS, Weiske, J, Ruef, A, Kambeitz-Ilankovic, L, Antonucci, LA, Neufang, S, Schmidt-Kraepelin, C, Ruhrmann, S, Penzel, N, Kambeitz, J, Haidl, TK, Rosen, M, Chisholm, K, Riecher-Rössler, A, Egloff, L, Schmidt, A, Andreou, C, Hietala, J, Schirmer, T, Romer, G, Walger, P, Franscini, M, Traber-Walker, N, Schimmelmann, BG, Flückiger, R, Michel, C, Rössler, W, Borisov, O, Krawitz, PM, Heekeren, K, Buechler, R, Pantelis, C, Falkai, P, Salokangas, RKR, Lencer, R, Bertolino, A, Borgwardt, S, Noethen, M, Brambilla, P, Wood, SJ, Upthegrove, R, Schultze-Lutter, F, Theodoridou, A, Meisenzahl, E, and Consortium, WGftP (2020).bbili, DR, Aldisi, R, Klinkhammer, H, David, F, Dueñas, N, Hüneburg, R, Perne, C, Brunet, J, Capella, G, Nöthen, MM, Forstner, AJ, Mayr, A, Krawitz, P, May, P, Aretz, S, and Maj, C (2022).
JAMA Psychiatry.
The Long-Term Effects of Early Life Stress on the Modulation of miR-19 Levels
Mazzelli, M, Maj, C, Mariani, N, Mora, C, Begni, V, Pariante, CM, Riva, MA, Cattaneo, A, and Cattane, N (2020).
Frontiers in Psychiatry, 11:389.
New technologies for intensive prevention programs after myocardial infarction: rationale and design of the NET-IPP trial
Wienbergen, H, Fach, A, Erdmann, J, Katalinic, A, Eisemann, N, Krawitz, P, Maj, C, Borisov, O, Munz, M, Noethen, M, Meyer-Saraei, R, Osteresch, R, Schmucker, J, Linke, A, Eitel, I, Hambrecht, R, and Langer, H (2020).
Clinical Research in Cardiology.
Integrative analysis of key candidate genes and signaling pathways in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy by bioinformatics.
Zhang, Y, Garofano, F, Wu, X, Schmid, M, Krawitz, P, Essler, M, and Schmidt-Wolf, IG (2020).
Investigational new Drugs.
Hematologist-Level Classification of Mature B-Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data
Zhao, M, Mallesh, N, Höllein, A, Schabath, R, Haferlach, C, Haferlach, T, Elsner, F, Lüling, H, Krawitz, P, and Kern, W ().
Cytometry Part A.