Results 161 to 170 of about 3,899,545 (360)
Identification of common genetic risk variants for autism spectrum disorder
Nature Genetics, 2019 J. Grove, S. Ripke, T. Als, M. Mattheisen, R. Walters, H. Won, Jonatan Pallesen, E. Agerbo, O. Andreassen, R. Anney, Swapnil Awashti, R. Belliveau, F. Bettella, J. Buxbaum, J. Bybjerg-Grauholm, Marie Bækvad-Hansen, Felecia Cerrato, K. Chambert, J. Christensen, C. Churchhouse, Karin Dellenvall, D. Demontis, S. Rubeis, B. Devlin, S. Djurovic, Ashley L. Dumont, J. Goldstein, C. Hansen, M. Hauberg, M. Hollegaard, S. Hope, D. Howrigan, Hailiang Huang, C. Hultman, L. Klei, J. Maller, Joanna Martin, Alicia R. Martin, J. Moran, M. Nyegaard, T. Nærland, D. Palmer, A. Palotie, C. Pedersen, M. Pedersen, Timothy dPoterba, J. Poulsen, B. S. Pourcain, P. Qvist, K. Rehnström, A. Reichenberg, J. Reichert, E. Robinson, K. Roeder, P. Roussos, E. Saemundsen, S. Sandin, F. Satterstrom, G. D. Smith, H. Stefánsson, S. Steinberg, C. Stevens, P. Sullivan, P. Turley, G. Walters, Xinyi Xu, N. Wray, M. Trzaskowski, Enda M. Byrne, A. Abdellaoui, M. Adams, T. Air, Till F. M. Andlauer, S. Bacanu, A. Beekman, T. Bigdeli, E. Binder, D. Blackwood, J. Bryois, H. Buttenschøn, N. Cai, E. Castelao, Toni‐Kim Clarke, J. Coleman, L. Colodro-Conde, B. Couvy-Duchesne, N. Craddock, Gregory E. Crawford, G. Davies, I. Deary, F. Degenhardt, E. Derks, N. Direk, C. Dolan, E. Dunn, T. Eley, V. Escott-Price, Farnush Farhadi Hassan Kiadeh, H. Finucane, A. Forstner, J. Frank, Héléna A. Gaspar, M. Gill, F. Goes, S. Gordon, L. Hall, T. Hansen, S. Herms, I. Hickie, P. Hoffmann, G. Homuth, Carsten Horn, J. Hottenga, M. Ising, R. Jansen, E. Jorgenson, J. Knowles, I. Kohane, J. Kraft, Warren W. Kretzschmar, J. Krogh, Z. Kutalik, Yihan Li, P. Lind, D. Macintyre, D. MacKinnon, Robert M. Maier, Wolfgang Maier, J. Marchini, H. Mbarek, Patrick J. McGrath, P. McGuffin, S. Medland, D. Mehta, C. Middeldorp, E. Mihailov, Y. Milaneschi, L. Milani, Francis M. Mondimore, G. Montgomery, S. Mostafavi, N. Mullins, M. Nauck, B. Ng, M. Nivard, D. Nyholt, P. O’Reilly, H. Oskarsson, M. Owen, J. Painter, Roseann E. Peterson, E. Pettersson, W. Peyrot, G. Pistis, D. Posthuma, J. Quiroz, John P. Rice, B. Riley, M. Rivera, S. Mirza, R. Schoevers, E. Schulte, L. Shen, Jianxin Shi, Stanley I. Shyn, E. Sigurdsson, Grant C. B. Sinnamon, J. Smit, Daniel J. Smith, F. Streit, J. Strohmaier, K. Tansey, H. Teismann, A. Teumer, Wesley Thompson, P. Thomson, T. Thorgeirsson, M. Traylor, J. Treutlein, V. Trubetskoy, A. Uitterlinden, D. Umbricht, S. Auwera, A. M. Hemert, A. Viktorin, P. Visscher, Yunpeng Wang, B. Webb, S. Weinsheimer, J. Wellmann, G. Willemsen, S. Witt, Yang Wu, H. Xi, Jian Yang, Futao Zhang, V. Arolt, B. Baune, K. Berger, D. Boomsma, S. Cichon, U. Dannlowski, E. D. Geus, J. DePaulo, E. Domenici, K. Domschke, T. Esko, H. Grabe, S. Hamilton, C. Hayward, A. Heath, K. Kendler, S. Kloiber, G. Lewis, Qingqin S. Li, S. Lucae, P. Madden, P. Magnusson, N. G. Martin, A. McIntosh, A. Metspalu, B. Müller-Myhsok, M. Nöthen, M. O’Donovan, S. Paciga, N. Pedersen, B. Penninx, R. Perlis, D. Porteous, J. Potash, M. Preisig, M. Rietschel, C. Schaefer, T. Schulze, J. Smoller, H. Tiemeier, R. Uher, H. Völzke, Myrna M. Weissman, C. Lewis, D. Levinson, G. Breen, M. Agee, B. Alipanahi, A. Auton, R. Bell, K. Bryc, S. Elson, P. Fontanillas, N. Furlotte, Bethann S. Hromatka, K. Huber, A. Kleinman, N. Litterman, M. Mcintyre, J. Mountain, E. Noblin, C. Northover, S. Pitts, J. Sathirapongsasuti, O. V. Sazonova, J. Shelton, S. Shringarpure, J. Tung, V. Vacic, C. H. Wilson, K. Stefánsson, D. Geschwind, M. Nordentoft, D. Hougaard, T. Werge, O. Mors, P. Mortensen, B. Neale, M. Daly, A. Børglum +275 moresemanticscholar +1 more sourceExam‐level analysis of lecture capture viewing and student exam performance
FEBS Open Bio, EarlyView.This study asks how lecture capture relates to exam performance in biology courses with three noncumulative exams. Mixed‐effects modeling separated between‐students from within‐student effects on exam %. Students who watched more recordings earned higher grades, but viewing spikes above a student's own mean, consistent with cramming, predicted small ...Kirk Hillsleywiley +1 more sourceOverview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis +6 morewiley +1 more source
