Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nora Skarabis"'
Autor:
Andreas Heissel, Darlene Heinen, Luisa Leonie Brokmeier, Nora Skarabis, Maria Kangas, Davy Vancampfort, Brendon Stubbs, Joseph Firth, Philip B Ward, Simon Rosenbaum, Mats Hallgren, Felipe Schuch
Publikováno v:
Heissel, A, Heinen, D, Brokmeier, L L, Skarabis, N, Kangas, M, Vancampfort, D, Stubbs, B, Firth, J, Ward, P B, Rosenbaum, S, Hallgren, M & Schuch, F 2023, ' Exercise as medicine for depressive symptoms? A systematic review and meta-analysis with meta-regression ', British Journal of Sports Medicine . https://doi.org/10.1136/bjsports-2022-106282
ObjectiveTo estimate the efficacy of exercise on depressive symptoms compared with non-active control groups and to determine the moderating effects of exercise on depression and the presence of publication bias.DesignSystematic review and meta-analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60af3af67fde2d84b64885e7de0681f
https://lirias.kuleuven.be/handle/20.500.12942/714941
https://lirias.kuleuven.be/handle/20.500.12942/714941
Autor:
Arija G. Jansen, Tinca J. C. Polderman, Philip R. Jansen, Jeanne E. Savage, Nora Skarabis, Gwen C. Dieleman, Julia Kraft
Publikováno v:
Journal of Child Psychology and Psychiatry and Allied Disciplines, 62(9), 1079-1089. Wiley-Blackwell
Journal of Child Psychology and Psychiatry and Allied Disciplines, 62(9), 1079-1089. Wiley-Blackwell Publishing Ltd
Jansen, A G, Jansen, P R, Savage, J E, Kraft, J, Skarabis, N, Polderman, T J C & Dieleman, G C 2021, ' The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls ', Journal of Child Psychology and Psychiatry and Allied Disciplines, vol. 62, no. 9, pp. 1079-1089 . https://doi.org/10.1111/jcpp.13370
Journal of Child Psychology and Psychiatry, and Allied Disciplines
Journal of Child Psychology and Psychiatry and Allied Disciplines, 62(9), 1079-1089. Wiley-Blackwell Publishing Ltd
Jansen, A G, Jansen, P R, Savage, J E, Kraft, J, Skarabis, N, Polderman, T J C & Dieleman, G C 2021, ' The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls ', Journal of Child Psychology and Psychiatry and Allied Disciplines, vol. 62, no. 9, pp. 1079-1089 . https://doi.org/10.1111/jcpp.13370
Journal of Child Psychology and Psychiatry, and Allied Disciplines
Background: Psychiatric traits are heritable, highly comorbid and genetically correlated, suggesting that genetic effects that are shared across disorders are at play. The aim of the present study is to quantify the predictive capacity of common gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372c87c6a35a53b0881a277cf9bd1700
https://research.vu.nl/en/publications/9f046e0e-3dec-4bb4-9091-afcd86f36182
https://research.vu.nl/en/publications/9f046e0e-3dec-4bb4-9091-afcd86f36182
Autor:
Georgia Panagiotaropoulou, Oleksandr Frei, Kim Brügger, Manuel Mattheisen, Niamh Mullins, Raymond K. Walters, Jackie Goldstein, S. Hong Lee, Benjamin M. Neale, Stephan Ripke, Chun Chieh Fan, Naomi R. Wray, Nina Roth Mota, Vassily Trubetskoy, Mark J. Daly, Nora Skarabis, W. De Witte, Swapnil Awasthi, Hunna J. Watson, Hailiang Huang, Robert Karlsson, Max Lam
Publikováno v:
Lam, M, Awasthi, S, Watson, H J, Goldstein, J, Panagiotaropoulou, G, Trubetskoy, V, Karlsson, R, Frei, O, Fan, C C, De Witte, W, Mota, N R, Mullins, N, Brügger, K, Lee, S H, Wray, N R, Skarabis, N, Huang, H, Neale, B, Daly, M J, Mattheisen, M, Walters, R & Ripke, S 2020, ' RICOPILI : Rapid Imputation for COnsortias PIpeLIne ', Bioinformatics (Oxford, England), vol. 36, no. 3, pp. 930-933 . https://doi.org/10.1093/bioinformatics/btz633
Bioinformatics
Bioinformatics, 36, 930-933
Bioinformatics, 36, 3, pp. 930-933
Bioinformatics
Bioinformatics, 36, 930-933
Bioinformatics, 36, 3, pp. 930-933
Summary Genome-wide association study (GWAS) analyses, at sufficient sample sizes and power, have successfully revealed biological insights for several complex traits. RICOPILI, an open-sourced Perl-based pipeline was developed to address the challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df22ea3fd90c80ad19cca811123df4d3
https://pure.au.dk/ws/files/219711073/btz633.pdf
https://pure.au.dk/ws/files/219711073/btz633.pdf
Autor:
Manuel Mattheisen, Benjamin M. Neale, Georgia Panagiotaropoulou, Oleksandr Frei, Jackie Goldstein, Max Lam, Nora Skarabis, Hunna J. Watson, Nina Roth Mota, W. De Witte, Chun Chieh Fan, Stephan Ripke, Vassily Trubetskoy, Swapnil Awasthi, Niamh Mullins, Hailiang Huang, Raymond K. Walters, Mark J. Daly, Robert Karlsson
MotivationGenome-wide association study (GWAS) analyses, at sufficient sample sizes and power, have successfully revealed biological insights for several complex traits. RICOPILI, an open sourced Perl-based pipeline was developed to address the chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4960a37fedb7cd8ad52e1e6f8b0f7c8d
Autor:
Katrin Charlet, Andreas Meyer-Lindenberg, Stephan Ripke, M. M. Nöthen, Nora Skarabis, Manuel Mattheisen, Thomas W. Mühleisen, Falk Kiefer, Susanne Erk, Ilya M. Veer, Carolin Wackerhagen, Heike Tost, Nina Romanczuk-Seiferth, Tristram A. Lett, Sebastian Mohnke, Franziska Degenhardt, Henrik Walter, Oliver Grimm, Stephanie H. Witt, Sven Cichon, M. Rietschel, A. Heinz
Publikováno v:
Translational Psychiatry 7(1), e997 (2017). doi:10.1038/tp.2016.272
Translational Psychiatry
Erk, S, Mohnke, S, Ripke, S, Lett, T A, Veer, I M, Wackerhagen, C, Grimm, O, Romanczuk-Seiferth, N, Degenhardt, F, Tost, H, Mattheisen, M, Muehleisen, T W, Charlet, K, Skarabis, N, Kiefer, F, Cichon, S, Witt, S H, Noethen, M M, Rietschel, M, Heinz, A, Meyer-Lindenberg, A & Walter, H 2017, ' Functional neuroimaging effects of recently discovered genetic risk loci for schizophrenia and polygenic risk profile in five RDoC subdomains ', Translational Psychiatry, vol. 7, 997 . https://doi.org/10.1038/tp.2016.272
Translational Psychiatry
Erk, S, Mohnke, S, Ripke, S, Lett, T A, Veer, I M, Wackerhagen, C, Grimm, O, Romanczuk-Seiferth, N, Degenhardt, F, Tost, H, Mattheisen, M, Muehleisen, T W, Charlet, K, Skarabis, N, Kiefer, F, Cichon, S, Witt, S H, Noethen, M M, Rietschel, M, Heinz, A, Meyer-Lindenberg, A & Walter, H 2017, ' Functional neuroimaging effects of recently discovered genetic risk loci for schizophrenia and polygenic risk profile in five RDoC subdomains ', Translational Psychiatry, vol. 7, 997 . https://doi.org/10.1038/tp.2016.272
Recently, 125 loci with genome-wide support for association with schizophrenia were identified. We investigated the impact of these variants and their accumulated genetic risk on brain activation in five neurocognitive domains of the Research Domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cfccbf35cb0f562dcd09b5f776db880
https://hdl.handle.net/2128/13461
https://hdl.handle.net/2128/13461
Autor:
Stephan Ripke, Nora Skarabis
Publikováno v:
European Neuropsychopharmacology. 27:S466
Background Over the past decade, genome-wide association studies (GWAS) have provided fundamental insights into the genetic architecture of schizophrenia with the identification of more than 100 risk loci and the discovery that common and rare varian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b919b6ef06a55e847f996b1d2ca4def2
https://doi.org/10.1016/j.euroneuro.2016.09.542
https://doi.org/10.1016/j.euroneuro.2016.09.542