Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jonathan Marchini"'
Autor:
Lukas Habegger, Joshua D. Backman, Gonçalo R. Abecasis, Jack A. Kosmicki, Leland Barnard, Jeffrey S. Reid, Boris Boutkov, Andrey Ziyatdinov, Jonathan Marchini, Christian Benner, Evan Maxwell, Anthony Marcketta, Manuel A. R. Ferreira, Joelle Mbatchou, Aris Baras, Mathew Barber, Colm O'Dushlaine
Publikováno v:
Nature Genetics. 53:1097-1103
Genome-wide association analysis of cohorts with thousands of phenotypes is computationally expensive, particularly when accounting for sample relatedness or population structure. Here we present a novel machine-learning method called REGENIE for fit
Autor:
David J. Carey, Cristen J. Willer, Anthony Marcketta, Claudia Schurmann, Leland Barnard, John Penn, Suganthi Balasubramanian, Daren Liu, Joseph B. Leader, Gonçalo R. Abecasis, Marcus B. Jones, John C. Whittaker, Ashutosh K. Pandey, Ida Surakka, David H. Ledbetter, Evan Maxwell, John D. Overton, Andrew Blumenfeld, Michael N. Cantor, Robert A. Scott, Wendy K. Chung, Alexander H. Li, Alexander Lopez, Joshua D. Backman, Matthew R. Nelson, Jeffrey Staples, Giovanni Coppola, Jonathan Marchini, Xiaodong Bai, Kavita Praveen, Alan R. Shuldiner, Claudia Gonzaga-Jauregui, Aris N. Economides, Shareef Khalid, William J Salerno, Bin Ye, Cristopher V. Van Hout, Kristian Hveem, Jeffrey G. Reid, Colm O'Dushlaine, Joshua D. Hoffman, Laura M. Yerges-Armstrong, Nilanjana Banerjee, Sean O'Keeffe, Ioanna Tachmazidou, Lon R. Cardon, Alicia Hawes, Aris Baras, Ashish Yadav, George D. Yancopoulos, Lukas Habegger
Publikováno v:
Nature
The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world1. Here we describe the release of exome-sequence data for the first 49,960 study
Autor:
Michael Ng, Stephen M. Smith, P McCarthy, Y Al Omran, Jonathan Marchini, Dominic Furniss, Akira Wiberg, Gwenaëlle Douaud, David L.H. Bennett, Fidel Alfaro-Almagro
Publikováno v:
Brain
The brain signature and genetic basis of handedness are unclear. Wiberg et al. show that left-handers have higher functional connectivity between language networks, and identify four genomic regions associated with handedness. Variants within these r
Genome-wide association study of liver fat, iron, and extracellular fluid fraction in the UK Biobank
Autor:
Johnathon R. Walls, Niek Verweij, Manuel A. R. Ferreira, Christian Benner, Nan Lin, Jonathan Marchini, Luca A. Lotta, Ashish Yadav, Gonçalo R. Abecasis, Jonas B. Nielsen, Mary Germino, Colm O'Dushlaine, Aris Baras, Joshua D. Backman, Prodromos Parasoglou
Abdominal magnetic resonance imaging (MRI) represents a non-invasive approach allowing the extraction of clinically informative phenotypes. We developed an automated pipeline to segment liver pixels from abdominal MRI images and apply published model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19047cd0881cdaf0ee3238cf0d660fc9
https://doi.org/10.1101/2021.10.25.21265127
https://doi.org/10.1101/2021.10.25.21265127
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Genome-wide association studies compare a phenotype to thousands of genetic variants, searching for associations of potential biological interest. Standard analyses rely on linear models of the phenotype given one variable at a time. How
Autor:
Jens Treutlein, James B. Potash, Cheynna A. Crowley, Paul F. O'Reilly, Francis M. Mondimore, Nicholas G. Martin, Jodie N. Painter, Qingqin S. Li, Tõnu Esko, Michael Conlon O'Donovan, Markus M. Nöthen, Toni-Kim Clarke, Roseann E. Peterson, Shantel Weinsheimer, Naomi R. Wray, Marie Bækvad-Hansen, Pamela F.A. Madden, Johannes H. Smit, Gonneke Willemsen, Thomas Hansen, Andrew C. Heath, Carsten Horn, Udo Dannlowski, Fulai Jin, Robert A. Schoevers, Jian Yang, Nicholas Eriksson, Marianne Giørtz Pedersen, Patrik K. E. Magnusson, Hans J. Grabe, Michael Gill, Lili Milani, Caroline Hayward, Shaun Purcell, Stanley I. Shyn, Penelope A. Lind, Giorgio Pistis, Michel G. Nivard, Thorgeir E. Thorgeirsson, Abdel Abdellaoui, Andres Metspalu, David J. Porteous, Anders D. Børglum, Christine Søholm Hansen, Scott D. Gordon, Nicholas John Craddock, Susanne Lucae, Douglas Blackwood, Jürgen Wellmann, Till M.F. Andlauer, Wesley K. Thompson, Chao Tian, Rudolf Uher, Nese Direk, Yuri Milaneschi, Paola Giusti-Rodríguez, Rick Jansen, Marcus Ising, Yang Wu, Jesper Krogh, Merete Nordentoft, Jouke-Jan Hottenga, Robert Maier, Ming Hu, Kari Stefansson, Glyn Lewis, Peter McGuffin, Wolfgang Maier, Erin C. Dunn, Bradley T. Webb, Gerome Breen, Henning Teismann, Eric Jorgenson, Jorge A. Quiroz, Brenda W.J.H. Penninx, Jonas Bybjerg-Grauholm, Warren W. Kretzschmar, Dean F. MacKinnon, Craig A. Stockmeier, Wouter J. Peyrot, Enrico Domenici, E. C.J. De Geus, Alexander Teumer, Henry Völzke, Yihan Li, Michael John Owen, Manuel Mattheisen, Bernard Ng, Baptiste Couvy-Duchesne, Daniel J. Smith, Jana Strohmaier, Vassily Trubetskoy, Volker Arolt, Douglas F. Levinson, Futao Zhang, Daniel Umbricht, Aartjan F.T. Beekman, David A. Hinds, Bernhard T. Baune, Henning Tiemeier, Hualin S. Xi, Hamdi Mbarek, Steven P. Hamilton, Stefan Kloiber, Fernando S. Goes, Jianxin Shi, Marcella Rietschel, Dale R. Nyholt, Zoltán Kutalik, Niamh Mullins, Grant W. Montgomery, Henriette N. Buttenschøn, Georg Homuth, Katharina Domschke, Alexander Viktorin, Hilary K. Finucane, Ashley R. Winslow, Saira Saeed Mirza, Fabian Streit, Erik Pettersson, Martin Preisig, Danielle Posthuma, Stephan Ripke, Lucía Colodro-Conde, Thalia C. Eley, Pippa A. Thomson, Thomas Werge, Enrique Castelao, Klaus Berger, Yun Li, Stacy Steinberg, Dorret I. Boomsma, Matthias Nauck, Sara Mostafavi, Jacqueline M. Lane, Katherine E. Tansey, Divya Mehta, Gregory E. Crawford, Andreas J. Forstner, Jane H. Christensen, Silviu Alin Bacanu, Julia Kraft, David M. Hougaard, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Sarah E. Medland, Per Qvist, Kenneth S. Kendler, Jordan W. Smoller, J. Raymond DePaulo, Ian J. Deary, Thomas G. Schulze, Julien Bryois, Ian B. Hickie, Helena Gaspar, Jonathan Mill, James A. Knowles, Cathryn M. Lewis, Hassan S. Dashti, Stefan Herms, Margarita Rivera, John P. Rice, Lynsey S. Hall, Eilis Hannon, Nancy L. Pedersen, Eva C. Schulte, Hreinn Stefansson, Maciej Trzaskowski, André G. Uitterlinden, Bertram Müller-Myhsok, Gail Davies, Mark Adams, Jakob Grove, Eske M. Derks, Sven Cichon, Jonathan I.R. Coleman, Sandra Van der Auwera, Myrna M. Weissman, Preben Bo Mortensen, Josef Frank, Enda M. Byrne, Esben Agerbo, Engilbert Sigurdsson, Xiaoxiao Liu, Patrick F. Sullivan, Carsten Bøcker Pedersen, Ole Mors, Catherine Schaefer, Richa Saxena, Albert M. van Hemert, Jonathan Marchini, Hogni Oskarsson, Franziska Degenhardt, Tracy Air, Elisabeth B. Binder, Christel M. Middeldorp, Farnush Hassan Farhadi Kiadeh, Conor V. Dolan, Sara A. Paciga, Per Hoffmann, Leina Lu, Andrew M. McIntosh, Tim B. Bigdeli, Stephanie H. Witt, Matthew Traylor, Grant Sinnamon, Brien P. Riley, Roy H. Perlis, Patrick J. McGrath, Craig L. Hyde, Ling Shen, Na Cai, Yunpeng Wang, Evelin Mihailov, Isaac S. Kohane
Publikováno v:
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S-A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T-K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, Direk, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Escott-Price, V, Kiadeh, F H F, Finucane, H K, Forstner, A J, Frank, J, Hall, L S, MacIntyre, D J & Thomson, P A & Hayward, C & McIntosh, A M & Porteous, D J 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S-A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T-K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, Direk, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Escott-Price, V, Grove, J, Hansen, C S, Hansen, T F, Pedersen, C B, Pedersen, M G, Qvist, P, Yang, J, Mors, O, Mortensen, P B, Nordentoft, M, Werge, T, Børglum, A D & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature Genetics
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, DIrek, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Escott-Price, V, Kiadeh, F H F, Finucane, H K, Forstner, A J, Frank, J, Gaspar, H A, Gill, M, Giusti-Rodríguez, P, Goes, F S, Gordon, S D, Grove, J, Hall, L S, Hannon, E, Hansen, C S, Hansen, T F, Herms, S, Hickie, I B, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J J, Hougaard, D M, Hu, M, Hyde, C L, Ising, M, Jansen, R, Jin, F, Jorgenson, E, Knowles, J A, Kohane, I S, Kraft, J, Kretzschmar, W W, Krogh, J, Kutalik, Z, Lane, J M, Li, Y, Li, Y, Lind, P A, Liu, X, Lu, L, MacIntyre, D J, MacKinnon, D F, Maier, R M, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, S E, Mehta, DI, Middeldorp, C M, Mihailov, E, Milaneschi, Y, Milani, L, Mill, J, Mondimore, F M, Montgomery, G W, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, M G, Nyholt, D R, O'Reilly, P F, Oskarsson, H, Owen, M J, Painter, J N, Pedersen, C B, Pedersen, M G, Peterson, R E, Pettersson, E, Peyrot, W J, Pistis, G, Posthuma, D, Purcell, S M, Quiroz, J A, Qvist, P, Rice, J P, Riley, B P, Rivera, M, Saeed Mirza, S, Saxena, R, Schoevers, R, Schulte, E C, Shen, L, Shi, J, Shyn, S I, Sigurdsson, E, Sinnamon, G B C, Smit, J H, Smith, D J, Stefansson, H, Steinberg, S, Stockmeier, C A, Streit, F, Strohmaier, J, Tansey, K E, Teismann, H, Teumer, A, Thompson, W, Thomson, P A, Thorgeirsson, T E, Tian, C, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, A G, Umbricht, D, Van Der Auwera, S, Van Hemert, A M, Viktorin, A, Visscher, P M, Wang, Y, Webb, B T, Weinsheimer, S M, Wellmann, J, Willemsen, G, Witt, S H, Wu, Y, Xi, H S, Yang, J, Zhang, F, Arolt, V, Baune, B T, Berger, K, Boomsma, D I, Cichon, S, Dannlowski, U, De Geus, E C J, Depaulo, J R, Domenici, E, Domschke, K, Esko, T, Grabe, H J, Hamilton, S P, Hayward, C, Heath, A C, Hinds, D A, Kendler, K S, Kloiber, S, Lewis, G, Li, Q S, Lucae, S, Madden, P F A, Magnusson, P K, Martin, N G, McIntosh, A M, Metspalu, A, Mors, O, Mortensen, P B, Müller-Myhsok, B, Nordentoft, M, Nöthen, M M, O'Donovan, M C, Paciga, S A, Pedersen, N L, Penninx, B W J H, Perlis, R H, Porteous, D J, Potash, J B, Preisig, M, Rietschel, M, Schaefer, C, Schulze, T G, Smoller, J W, Stefansson, K, Tiemeier, H, Uher, R, Völzke, H, Weissman, M M, Werge, T, Winslow, A R, Lewis, C M, Levinson, D F, Breen, G, Børglum, A D & Sullivan, P F 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature genetics 50(5), 668-681 (2018). doi:10.1038/s41588-018-0090-3
NATURE GENETICS
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, DIrek, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Hottenga, J J, Jansen, R, Mbarek, H, Middeldorp, C M, Milaneschi, Y, Nivard, M G, Posthuma, D, Smit, J H, Willemsen, G, Boomsma, D I & Penninx, B W J H 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature genetics, 50(5), 668-681. Nature Publishing Group
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S-A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, Direk, N, Eley, T C, Gaspar, H A, Hansen, T F, Li, Y, Mcguffin, P, Mill, J, Mullins, N, Purcell, S M, Riley, B P, Smith, D J, Tansey, K E, Traylor, M, Uher, R, Lewis, C M & Breen, G & O'Reilly, P F 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature Genetics, 50(5), 668-681. Nature Publishing Group
Nature Genetics, 50(5), 668-+. Nature Publishing Group
Nature Genetics, 50(5), 668
Nature genetics
Nature genetics, vol. 50, no. 5, pp. 668-681
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S-A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T-K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, Direk, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Escott-Price, V, Grove, J, Hansen, C S, Hansen, T F, Pedersen, C B, Pedersen, M G, Qvist, P, Yang, J, Mors, O, Mortensen, P B, Nordentoft, M, Werge, T, Børglum, A D & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature Genetics
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, DIrek, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Escott-Price, V, Kiadeh, F H F, Finucane, H K, Forstner, A J, Frank, J, Gaspar, H A, Gill, M, Giusti-Rodríguez, P, Goes, F S, Gordon, S D, Grove, J, Hall, L S, Hannon, E, Hansen, C S, Hansen, T F, Herms, S, Hickie, I B, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J J, Hougaard, D M, Hu, M, Hyde, C L, Ising, M, Jansen, R, Jin, F, Jorgenson, E, Knowles, J A, Kohane, I S, Kraft, J, Kretzschmar, W W, Krogh, J, Kutalik, Z, Lane, J M, Li, Y, Li, Y, Lind, P A, Liu, X, Lu, L, MacIntyre, D J, MacKinnon, D F, Maier, R M, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, S E, Mehta, DI, Middeldorp, C M, Mihailov, E, Milaneschi, Y, Milani, L, Mill, J, Mondimore, F M, Montgomery, G W, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, M G, Nyholt, D R, O'Reilly, P F, Oskarsson, H, Owen, M J, Painter, J N, Pedersen, C B, Pedersen, M G, Peterson, R E, Pettersson, E, Peyrot, W J, Pistis, G, Posthuma, D, Purcell, S M, Quiroz, J A, Qvist, P, Rice, J P, Riley, B P, Rivera, M, Saeed Mirza, S, Saxena, R, Schoevers, R, Schulte, E C, Shen, L, Shi, J, Shyn, S I, Sigurdsson, E, Sinnamon, G B C, Smit, J H, Smith, D J, Stefansson, H, Steinberg, S, Stockmeier, C A, Streit, F, Strohmaier, J, Tansey, K E, Teismann, H, Teumer, A, Thompson, W, Thomson, P A, Thorgeirsson, T E, Tian, C, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, A G, Umbricht, D, Van Der Auwera, S, Van Hemert, A M, Viktorin, A, Visscher, P M, Wang, Y, Webb, B T, Weinsheimer, S M, Wellmann, J, Willemsen, G, Witt, S H, Wu, Y, Xi, H S, Yang, J, Zhang, F, Arolt, V, Baune, B T, Berger, K, Boomsma, D I, Cichon, S, Dannlowski, U, De Geus, E C J, Depaulo, J R, Domenici, E, Domschke, K, Esko, T, Grabe, H J, Hamilton, S P, Hayward, C, Heath, A C, Hinds, D A, Kendler, K S, Kloiber, S, Lewis, G, Li, Q S, Lucae, S, Madden, P F A, Magnusson, P K, Martin, N G, McIntosh, A M, Metspalu, A, Mors, O, Mortensen, P B, Müller-Myhsok, B, Nordentoft, M, Nöthen, M M, O'Donovan, M C, Paciga, S A, Pedersen, N L, Penninx, B W J H, Perlis, R H, Porteous, D J, Potash, J B, Preisig, M, Rietschel, M, Schaefer, C, Schulze, T G, Smoller, J W, Stefansson, K, Tiemeier, H, Uher, R, Völzke, H, Weissman, M M, Werge, T, Winslow, A R, Lewis, C M, Levinson, D F, Breen, G, Børglum, A D & Sullivan, P F 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature genetics 50(5), 668-681 (2018). doi:10.1038/s41588-018-0090-3
NATURE GENETICS
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T K, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, DIrek, N, Dolan, C V, Dunn, E C, Eley, T C, Eriksson, N, Hottenga, J J, Jansen, R, Mbarek, H, Middeldorp, C M, Milaneschi, Y, Nivard, M G, Posthuma, D, Smit, J H, Willemsen, G, Boomsma, D I & Penninx, B W J H 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature genetics, 50(5), 668-681. Nature Publishing Group
Wray, N R, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, E M, Abdellaoui, A, Adams, M J, Agerbo, E, Air, T M, Andlauer, T M F, Bacanu, S-A, Bækvad-Hansen, M, Beekman, A F T, Bigdeli, T B, Binder, E B, Blackwood, D R H, Bryois, J, Buttenschøn, H N, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, J H, Clarke, T, Coleman, J I R, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, G E, Crowley, C A, Dashti, H S, Davies, G, Deary, I J, Degenhardt, F, Derks, E M, Direk, N, Eley, T C, Gaspar, H A, Hansen, T F, Li, Y, Mcguffin, P, Mill, J, Mullins, N, Purcell, S M, Riley, B P, Smith, D J, Tansey, K E, Traylor, M, Uher, R, Lewis, C M & Breen, G & O'Reilly, P F 2018, ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ', Nature Genetics, vol. 50, no. 5, pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Nature Genetics, 50(5), 668-681. Nature Publishing Group
Nature Genetics, 50(5), 668-+. Nature Publishing Group
Nature Genetics, 50(5), 668
Nature genetics
Nature genetics, vol. 50, no. 5, pp. 668-681
Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened\ud risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and ident
Autor:
Jared O'Connell, Olivier Delaneau, Allan Motyer, Samantha Welsh, Peter Donnelly, Mark Effingham, Naomi E. Allen, Jonathan Marchini, Gavin Band, Stephen Leslie, Clare Bycroft, Desislava Petkova, Damjan Vukcevic, Lloyd T. Elliott, Alan Young, Adrian Cortes, Colin Freeman, Gil McVean, Kevin Sharp
Publikováno v:
Nature. 562
The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size a
Autor:
Andrew Dahl, Nicole Soranzo, Andreas Kranis, Jonathan Marchini, Valentina Iotchkova, Richard Mott, Åsa Johansson, Ulf Gyllensten, Amelie Baud
Publikováno v:
Nature genetics
Dahl, A, Iotchkova, V, Baud, A, Johansson, Å, Gyllensten, U, Soranzo, N, Mott, R, Kranis, A & Marchini, J 2016, ' A multiple-phenotype imputation method for genetic studies ', Nature Genetics, vol. 48, no. 4, pp. 466-472 . https://doi.org/10.1038/ng.3513
Dahl, A, Iotchkova, V, Baud, A, Johansson, Å, Gyllensten, U, Soranzo, N, Mott, R, Kranis, A & Marchini, J 2016, ' A multiple-phenotype imputation method for genetic studies ', Nature Genetics, vol. 48, no. 4, pp. 466-472 . https://doi.org/10.1038/ng.3513
Genetic association studies have yielded a wealth of biological discoveries. However, these studies have mostly analyzed one trait and one SNP at a time, thus failing to capture the underlying complexity of the data sets. Joint genotype-phenotype ana
Autor:
Sinan Shi, Jonathan Marchini, Gwenaëlle Douaud, Karla L. Miller, Lloyd T. Elliott, Stephen M. Smith, Fidel Alfaro-Almagro, Kevin Sharp
Publikováno v:
Nature
The genetic architecture of brain structure and function is largely unknown. To investigate this, we carried out genome-wide association studies of 3,144 functional and structural brain imaging phenotypes from UK Biobank (discovery dataset 8,428 subj
Autor:
Jonathan Marchini, Stephen M. Smith, Karla L. Miller, Liam Elliott, Gwenaëlle Douaud, Sinan Shi, Fidel Alfaro-Almagro, Kevin Sharp
SummaryThe genetic basis of brain structure and function is largely unknown. We carried out genome-wide association studies of 3,144 distinct functional and structural brain imaging derived phenotypes in UK Biobank (discovery dataset 8,428 subjects).
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