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2. Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease

Author

Holstege, Henne, Hulsman, Marc, Charbonnier, Camille, Grenier-Boley, Benjamin, Quenez, Olivier, Grozeva, Detelina, van Rooij, Jeroen GJ, Sims, Rebecca, Ahmad, Shahzad, Amin, Najaf, Norsworthy, Penny J, Dols-Icardo, Oriol, Hummerich, Holger, Kawalia, Amit, Amouyel, Philippe, Beecham, Gary W, Berr, Claudine, Bis, Joshua C, Boland, Anne, Bossù, Paola, Bouwman, Femke, Bras, Jose, Campion, Dominique, Cochran, J Nicholas, Daniele, Antonio, Dartigues, Jean-François, Debette, Stéphanie, Deleuze, Jean-François, Denning, Nicola, DeStefano, Anita L, Farrer, Lindsay A, Fernández, Maria Victoria, Fox, Nick C, Galimberti, Daniela, Genin, Emmanuelle, Gille, Johan JP, Le Guen, Yann, Guerreiro, Rita, Haines, Jonathan L, Holmes, Clive, Ikram, M Arfan, Ikram, M Kamran, Jansen, Iris E, Kraaij, Robert, Lathrop, Marc, Lemstra, Afina W, Lleó, Alberto, Luckcuck, Lauren, Mannens, Marcel MAM, Marshall, Rachel, Martin, Eden R, Masullo, Carlo, Mayeux, Richard, Mecocci, Patrizia, Meggy, Alun, Mol, Merel O, Morgan, Kevin, Myers, Richard M, Nacmias, Benedetta, Naj, Adam C, Napolioni, Valerio, Pasquier, Florence, Pastor, Pau, Pericak-Vance, Margaret A, Raybould, Rachel, Redon, Richard, Reinders, Marcel JT, Richard, Anne-Claire, Riedel-Heller, Steffi G, Rivadeneira, Fernando, Rousseau, Stéphane, Ryan, Natalie S, Saad, Salha, Sanchez-Juan, Pascual, Schellenberg, Gerard D, Scheltens, Philip, Schott, Jonathan M, Seripa, Davide, Seshadri, Sudha, Sie, Daoud, Sistermans, Erik A, Sorbi, Sandro, van Spaendonk, Resie, Spalletta, Gianfranco, Tesi, Niccolo’, Tijms, Betty, Uitterlinden, André G, van der Lee, Sven J, Visser, Pieter Jelle, Wagner, Michael, Wallon, David, Wang, Li-San, Zarea, Aline, Clarimon, Jordi, van Swieten, John C, Greicius, Michael D, Yokoyama, Jennifer S, Cruchaga, Carlos, Hardy, John, and Ramirez, Alfredo

Subjects
Biological Sciences, Genetics, Dementia, Alzheimer's Disease, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Prevention, Acquired Cognitive Impairment, Neurodegenerative, Aging, Clinical Research, Biotechnology, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Neurological, Humans, Adenosine Triphosphatases, Alzheimer Disease, ATP Binding Cassette Transporter 1, Genome-Wide Association Study, Risk Factors, Exosomes, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Alzheimer's disease (AD), the leading cause of dementia, has an estimated heritability of approximately 70%1. The genetic component of AD has been mainly assessed using genome-wide association studies, which do not capture the risk contributed by rare variants2. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals-16,036 AD cases and 16,522 controls. Next to variants in TREM2, SORL1 and ABCA7, we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10. Additionally, the rare-variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential drivers of respective AD-genome-wide association study loci. Variants associated with the strongest effect on AD risk, in particular loss-of-function variants, are enriched in early-onset AD cases. Our results provide additional evidence for a major role for amyloid-β precursor protein processing, amyloid-β aggregation, lipid metabolism and microglial function in AD.

Published
2022

4. A DNA Algorithm for Calculating the Maximum Flow of a Network

Author

Sackmann Andrea, Brown Kristelle, Formanowicz Piotr, Morgan Kevin, Kalsheker Noor, Garibaldi Jon M., and Błażewicz Jacek

Subjects
dna computing, network problems, max-flow, min-cut, Electronic computers. Computer science, QA75.5-76.95
Abstract

DNA computing is a highly interdisciplinary field which combines molecular operations with theoretical algorithm design. A number of algorithms have been demonstrated in DNA computing, but to date network flow problems have not been studied. We aim to provide an approach to calculate the value of the maximum flow in networks by encoding the mathematical problem in DNA molecules and by using molecular biology techniques to manipulate the DNA. We present results which demonstrate that the algorithm works for an example network problem.

Published
2023
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5. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author

de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín

Published
2023
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6. Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Author

Chia, Ruth, Sabir, Marya S, Bandres-Ciga, Sara, Saez-Atienzar, Sara, Reynolds, Regina H, Gustavsson, Emil, Walton, Ronald L, Ahmed, Sarah, Viollet, Coralie, Ding, Jinhui, Makarious, Mary B, Diez-Fairen, Monica, Portley, Makayla K, Shah, Zalak, Abramzon, Yevgeniya, Hernandez, Dena G, Blauwendraat, Cornelis, Stone, David J, Eicher, John, Parkkinen, Laura, Ansorge, Olaf, Clark, Lorraine, Honig, Lawrence S, Marder, Karen, Lemstra, Afina, St George-Hyslop, Peter, Londos, Elisabet, Morgan, Kevin, Lashley, Tammaryn, Warner, Thomas T, Jaunmuktane, Zane, Galasko, Douglas, Santana, Isabel, Tienari, Pentti J, Myllykangas, Liisa, Oinas, Minna, Cairns, Nigel J, Morris, John C, Halliday, Glenda M, Van Deerlin, Vivianna M, Trojanowski, John Q, Grassano, Maurizio, Calvo, Andrea, Mora, Gabriele, Canosa, Antonio, Floris, Gianluca, Bohannan, Ryan C, Brett, Francesca, Gan-Or, Ziv, Geiger, Joshua T, Moore, Anni, May, Patrick, Krüger, Rejko, Goldstein, David S, Lopez, Grisel, Tayebi, Nahid, Sidransky, Ellen, Norcliffe-Kaufmann, Lucy, Palma, Jose-Alberto, Kaufmann, Horacio, Shakkottai, Vikram G, Perkins, Matthew, Newell, Kathy L, Gasser, Thomas, Schulte, Claudia, Landi, Francesco, Salvi, Erika, Cusi, Daniele, Masliah, Eliezer, Kim, Ronald C, Caraway, Chad A, Monuki, Edwin S, Brunetti, Maura, Dawson, Ted M, Rosenthal, Liana S, Albert, Marilyn S, Pletnikova, Olga, Troncoso, Juan C, Flanagan, Margaret E, Mao, Qinwen, Bigio, Eileen H, Rodríguez-Rodríguez, Eloy, Infante, Jon, Lage, Carmen, González-Aramburu, Isabel, Sanchez-Juan, Pascual, Ghetti, Bernardino, Keith, Julia, Black, Sandra E, Masellis, Mario, Rogaeva, Ekaterina, Duyckaerts, Charles, Brice, Alexis, Lesage, Suzanne, Xiromerisiou, Georgia, Barrett, Matthew J, Tilley, Bension S, Gentleman, Steve, Logroscino, Giancarlo, and Serrano, Geidy E

Subjects
Biological Sciences, Genetics, Human Genome, Alzheimer's Disease Related Dementias (ADRD), Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease, Aging, Dementia, Brain Disorders, Acquired Cognitive Impairment, Lewy Body Dementia, Biotechnology, Parkinson's Disease, Neurosciences, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, Adaptor Proteins, Signal Transducing, Alzheimer Disease, Case-Control Studies, Gene Expression Profiling, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Glucosylceramidase, Humans, Lewy Body Disease, Nuclear Proteins, Parkinson Disease, Polymorphism, Single Nucleotide, Tumor Suppressor Proteins, alpha-Synuclein, American Genome Center, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

The genetic basis of Lewy body dementia (LBD) is not well understood. Here, we performed whole-genome sequencing in large cohorts of LBD cases and neurologically healthy controls to study the genetic architecture of this understudied form of dementia, and to generate a resource for the scientific community. Genome-wide association analysis identified five independent risk loci, whereas genome-wide gene-aggregation tests implicated mutations in the gene GBA. Genetic risk scores demonstrate that LBD shares risk profiles and pathways with Alzheimer's disease and Parkinson's disease, providing a deeper molecular understanding of the complex genetic architecture of this age-related neurodegenerative condition.

Published
2021

7. Analysis of shared heritability in common disorders of the brain

Author

Consortium, The Brainstorm, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Schott, Jonathan M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, van der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, and Cuenca-Leon, Ester

Subjects
Biological Sciences, Genetics, Biological Psychology, Health Sciences, Psychology, Human Genome, Brain Disorders, Neurosciences, Mental Health, Mental Illness, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Mental health, Brain Diseases, Genetic Variation, Genome-Wide Association Study, Humans, Mental Disorders, Phenotype, Quantitative Trait, Heritable, Risk Factors, Brainstorm Consortium, General Science & Technology
Abstract

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

Published
2018

8. Analysis of shared heritability in common disorders of the brain.

Author

Brainstorm Consortium, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, van der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, Cuenca-Leon, Ester, and Furlotte, Nicholas

Subjects
Brainstorm Consortium, Humans, Brain Diseases, Risk Factors, Mental Disorders, Quantitative Trait, Heritable, Phenotype, Genetic Variation, Genome-Wide Association Study, Clinical Research, Neurosciences, Rare Diseases, Human Genome, Brain Disorders, Genetics, Mental Health, 2.1 Biological and endogenous factors, Mental health, Neurological, General Science & Technology
Abstract

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

Published
2018

13. Amsterdam’s circular economy at a world-ecological crossroads: postcapitalist degrowth or the next regime of capital accumulation?

Author

Thompson, Matthew, Cator, Charlotte, Beel, David, Ian, Rees Jones, Morgan, Kevin, Martin, Jones, Thompson, Matthew, Cator, Charlotte, Beel, David, Ian, Rees Jones, Morgan, Kevin, and Martin, Jones

Abstract

This article conceptualises the circular economy as a space of immaterial as well as material metabolic flows mediated by capitalism and planetary urbanisation. World-ecology provides the critical lens to view the circular economy as part of an emergent regime of accumulation that may supersede neoliberalism. However, if each regime entails new frontier zones for appropriating cheap natures and dumping wastes, then the circular economy – as a strategy for revalorising waste – presents a possible structural limit to capitalism’s further expansion. Moreover, when combined with notions of degrowth and doughnut economics, the circular economy may provide an imaginary and set of prefigurative practices that point towards a postcapitalist society. Through a case study of Amsterdam – a city aiming to be fully circular by 2050 – we examine this contradictory crossroads, by problematising the idea of circularity within capitalism and exploring the potential of postcapitalist alternatives within the circular economy.

Published
2024

14. Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author

de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín

Published
2021
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15. A meta-analysis of epigenome-wide association studies in Alzheimer’s disease highlights novel differentially methylated loci across cortex

Author

Smith, Rebecca G., Pishva, Ehsan, Shireby, Gemma, Smith, Adam R., Roubroeks, Janou A. Y., Hannon, Eilis, Wheildon, Gregory, Mastroeni, Diego, Gasparoni, Gilles, Riemenschneider, Matthias, Giese, Armin, Sharp, Andrew J., Schalkwyk, Leonard, Haroutunian, Vahram, Viechtbauer, Wolfgang, van den Hove, Daniel L. A., Weedon, Michael, Brokaw, Danielle, Francis, Paul T., Thomas, Alan J., Love, Seth, Morgan, Kevin, Walter, Jörn, Coleman, Paul D., Bennett, David A., De Jager, Philip L., Mill, Jonathan, and Lunnon, Katie

Published
2021
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17. How Universal Design for Learning Can Support and Retain STEM Learners Across Tertiary Education: A Perspective.

Author

Galvin, Tracy and Morgan, Kevin

Subjects
FOREIGN study, UNIVERSAL design, ETHNIC groups, POSTSECONDARY education, WORK sharing
Abstract

This critical perspective aims to showcase good practices across STEM disciplines, in particular chemistry and chemical engineering, and how Universal Design for Learning (UDL) can drive and support the inclusion agenda as well as complement university priorities. With the ever-increasing opportunities and access to university courses/programmes comes diversity in the student population, including in STEM (Science, Technology, Engineering and Mathematics) subjects. This variability includes: gender, international students, mature students, ethnic groups, parents, first generation, neurodiverse learners and students with disabilities. As learner variability comes with such rich diversity and lived experiences this can bring added value to the learning experiences gained from others. However, this diversity and intersectionality can bring many challenges for educators to ensure representation of learners within the content, as well as provision of inclusivity and equity of opportunity. These opportunities apply not only to the provision of access but, more importantly, are key for retention and progression to complete and succeed within a course/programme (Casanova et al. 2023). Consequently, rather than taking a retrofit approach, or focus on differentiation, content needs to be more universal and accessible by assuming from the outset that under-represented learners and those on the margins are in your classroom. So, while planning and designing for a learner-centric inclusive environment, it is necessary to always consider who is advantaged and who is disadvantaged. This Perspective discusses work of practitioners sharing experiences of embedding inclusion and accessibility within STEM settings. Through this discussion, the authors highlight the benefits of UDL, reflect on some personal experiences and then briefly discuss the future of embedding UDL into STEM subjects. [ABSTRACT FROM AUTHOR]

Published
2024

18. Dementias Platform UK: Bringing genetics into life.

Author

Leonenko, Ganna, Bauermeister, Sarah, Ghanti, Dipanwita, Stevenson‐Hoare, Joshua, Simmonds, Emily, Brookes, Keeley, Morgan, Kevin, Chaturvedi, Nishi, Elliott, Paul, Thomas, Alan, Wareham, Nicholas, Gallacher, John, and Escott‐Price, Valentina

Abstract

INTRODUCTION: The Dementias Platform UK (DPUK) Data Portal is a data repository bringing together a wide range of cohorts. Neurodegenerative dementias are a group of diseases with highly heterogeneous pathology and an overlapping genetic component that is poorly understood. The DPUK collection of independent cohorts can facilitate research in neurodegeneration by combining their genetic and phenotypic data. METHODS: For genetic data processing, pipelines were generated to perform quality control analysis, genetic imputation, and polygenic risk score (PRS) derivation with six genome‐wide association studies of neurodegenerative diseases. Pipelines were applied to five cohorts. DISCUSSION: The data processing pipelines, research‐ready imputed genetic data, and PRS scores are now available on the DPUK platform and can be accessed upon request though the DPUK application process. Harmonizing genome‐wide data for multiple datasets increases scientific opportunity and allows the wider research community to access and process data at scale and pace. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Identification of human GnIH homologs, RFRP-1 and RFRP-3, and the cognate receptor, GPR147 in the human hypothalamic pituitary axis.

Author

Ubuka, Takayoshi, Morgan, Kevin, Pawson, Adam J, Osugi, Tomohiro, Chowdhury, Vishwajit S, Minakata, Hiroyuki, Tsutsui, Kazuyoshi, Millar, Robert P, and Bentley, George E

Subjects
Pituitary-Adrenal System, Hypothalamo-Hypophyseal System, Neurons, Humans, Glycoproteins, Neuropeptides, Receptors, Neuropeptide, RNA, Messenger, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Regulation, Amino Acid Sequence, Sequence Homology, Amino Acid, Molecular Sequence Data, Adult, RNA, Messenger, Receptors, Neuropeptide, Sequence Homology, Amino Acid, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, General Science & Technology
Abstract

The existence of a hypothalamic gonadotropin-inhibiting system has been elusive. A neuropeptide named gonadotropin-inhibitory hormone (GnIH, SIKPSAYLPLRF-NH(2)) which directly inhibits gonadotropin synthesis and release from the pituitary was recently identified in quail hypothalamus. Here we identify GnIH homologs in the human hypothalamus and characterize their distribution and biological activity. GnIH homologs were isolated from the human hypothalamus by immunoaffinity purification, and then identified as MPHSFANLPLRF-NH(2) (human RFRP-1) and VPNLPQRF-NH(2) (human RFRP-3) by mass spectrometry. Immunocytochemistry revealed GnIH-immunoreactive neuronal cell bodies in the dorsomedial region of the hypothalamus with axonal projections to GnRH neurons in the preoptic area as well as to the median eminence. RT-PCR and subsequent DNA sequencing of the PCR products identified human GnIH receptor (GPR147) mRNA expression in the hypothalamus as well as in the pituitary. In situ hybridization further identified the expression of GPR147 mRNA in luteinizing hormone producing cells (gonadotropes). Human RFRP-3 has recently been shown to be a potent inhibitor of gonadotropin secretion in cultured sheep pituitary cells by inhibiting Ca(2+) mobilization. It also directly modulates GnRH neuron firing. The identification of two forms of GnIH (RFRP-1 and RFRP-3) in the human hypothalamus which targets human GnRH neurons and gonadotropes and potently inhibit gonadotropin in sheep models provides a new paradigm for the regulation of hypothalamic-pituitary-gonadal axis in man and a novel means for manipulating reproductive functions.

Published
2009

23. Effects of teaching behaviours on motivational processes in physical education

Author

Morgan, Kevin

Subjects
796.07
Abstract

This thesis comprises of a collection of four research studies in the area of motivational climate in physical education (PE). In the first study, a computer based observational measure of the teaching behaviours that influence motivational climate (TARGET) was developed and the degree of congruence between the observational measure and pupils' and teachers' subjective perceptions of the motivational climate was evaluated. Results revealed mastery and performance involving teaching behaviours, congruency between teaching behaviours and subjective perceptions of the climate, and significant differences between teachers' and pupils' perceptions of the motivational climate. The second study further validated the measure of teaching behaviours by comparing teacher behaviours and pupils' perceptions of the motivational climate in a cross-cultural study. Results indicated significantly higher levels of performance involving teaching behaviours and higher levels of a perceived performance climate in Singapore compared to the UK. Based on findings related to the authority structure in the cross-cultural study, the third study examined the effects of different teaching styles on the TARGET behaviours and pupils' focus group responses in PE lessons in the UK. Results revealed that pupil-centred teaching styles resulted in more mastery involving teaching behaviours and more adaptive motivational responses than the more teacher-centred style. Based on these findings, the final study instigated a mastery intervention programme for teacher education based on self-observation of filmed PE lessons and evaluated its effect on the TARGET behaviours, pupils' perceptions of the motivational climate and cognitive and affective responses. The mastery intervention programme was successful in fostering more mastery involving teaching behaviours. Contrary to the hypothesis, pupils' perceptions of the motivational climate were more performance involved post-intervention, which may have been due to the public nature of the recognition and evaluation of effort and improvement (mastery coded). Further, results revealed that low affect pupils significantly increased their cognitive and affective responses from pre- to post-intervention.

Published
2005
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31. Analysis of neurodegenerative disease-causing genes in dementia with Lewy bodies

Author

Orme, Tatiana, Hernandez, Dena, Ross, Owen A., Kun-Rodrigues, Celia, Darwent, Lee, Shepherd, Claire E., Parkkinen, Laura, Ansorge, Olaf, Clark, Lorraine, Honig, Lawrence S., Marder, Karen, Lemstra, Afina, Rogaeva, Ekaterina, St. George-Hyslop, Peter, Londos, Elisabet, Zetterberg, Henrik, Morgan, Kevin, Troakes, Claire, Al-Sarraj, Safa, Lashley, Tammaryn, Holton, Janice, Compta, Yaroslau, Van Deerlin, Vivianna, Trojanowski, John Q., Serrano, Geidy E., Beach, Thomas G., Lesage, Suzanne, Galasko, Douglas, Masliah, Eliezer, Santana, Isabel, Pastor, Pau, Tienari, Pentti J., Myllykangas, Liisa, Oinas, Minna, Revesz, Tamas, Lees, Andrew, Boeve, Brad F., Petersen, Ronald C., Ferman, Tanis J., Escott-Price, Valentina, Graff-Radford, Neill, Cairns, Nigel J., Morris, John C., Pickering-Brown, Stuart, Mann, David, Halliday, Glenda, Stone, David J., Dickson, Dennis W., Hardy, John, Singleton, Andrew, Guerreiro, Rita, and Bras, Jose

Published
2020
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35. The Role of State and Non-State Actors in Ensuring the Effectiveness of Innovation Policy

Author

Marques, Pedro, Morgan, Kevin, Marques, Pedro, and Morgan, Kevin

Abstract

In order to understand the successes and failure of innovation policy, taking as an example smart specialisation, it is necessary to recognise that policy processes unfold as a result of interactions between state and non-state actors, in a complex context. First, taking our cues from political science, it is necessary to recognise that the basic assumptions about the context for policy design and implementation are very different from the assumptions in neat, linear models of policymaking which assume that policy emerges from informed debate and consensus (Weible and Sabatier 2017). These assumptions are: ambiguity, (2) time constraints, (3) problematic policy preferences, (4) unclear technology, (5) fluid participation and (6) stream independence. Analysed as a policy process, in order for smart specialisation to be effective, it would have to be adopted within the three streams and at all geographical scales. Policymakers and non-state actors would have to recognise the lack of better innovation policy as a problem, but also recognise the central tenets of S3 (regionalisation of policy, EDP, prioritisation) as the key to address this problem. The networks of individuals and organisations working within the problem stream of innovation, would also have to understand and engage with this concept, and provide their technical support to its implementation. Finally, the state and non-state actors in the political stream, would have to accept smart specialisation as a viable solution to a problem that they accepted as relevant and be willing to break with, or adapt, previous innovation policies (assuming that they existed) in order to implement this new one. All these assumptions are problematic and need to be tested empirically.

Published
2023

36. Governing industrial policy: the scope and limits of the good governance agenda

Author

Marques, Pedro, Morgan, Kevin, Marques, Pedro, and Morgan, Kevin

Abstract

One of the most ubiquitous mantras in industrial policy circles is that 'good governance' is critical to the success of economic development strategies. In this chapter we critically examine the 'good governance agenda' at the sub-national level, where conventional wisdom often attributes the shortcomings of regional institutions to the regions themselves. To explore this issue we focus on two case studies. The first is Valencia, in Spain, where a coalition of regional banks and national political parties propelled the region into a prolonged crisis. The second is post-Brexit Britain, where the central state is undermining the devolution settlements agreed with the Celtic nations, triggering an unprecedented crisis of governance in the UK's multilevel polity. Our analysis underlines the need to take multi-scalar political relationships more seriously in the design and delivery of place-based industrial policy.

Published
2023

40. A Paired RNAi and RabGAP Overexpression Screen Identifies Rab11 as a Regulator of β-Amyloid Production

Author

Guerreiro, Rita, Brás, José, Sassi, Celeste, Gibbs, J. Raphael, Hernandez, Dena, Lupton, Michelle K., Brown, Kristelle, Morgan, Kevin, Powell, John, Singleton, Andrew, Hardy, John, Udayar, Vinod, Buggia-Prévot, Virginie, Guerreiro, Rita L., Siegel, Gabriele, Rambabu, Naresh, Soohoo, Amanda L., Ponnusamy, Moorthi, Siegenthaler, Barbara, Bali, Jitin, Simons, Mikael, Ries, Jonas, Puthenveedu, Manojkumar A., Thinakaran, Gopal, and Rajendran, Lawrence

Published
2013
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41. Upregulated expression of FFAR2 and SOC3 genes is associated with gout

Author

Orji, Oliver C, Sandoval-Plata, Gabriela, Guetta-Baranes, Tamar, Valdes, Ana M, Doherty, Michael, Morgan, Kevin, and Abhishek, Abhishek

Subjects
Rheumatology, Pharmacology (medical)
Abstract

ObjectiveTo examine the expression of Free fatty acid receptor 2 (FFAR2) and Suppressor of cytokine signalling 3 (SOCS3) genes in asymptomatic hyperuricaemia (AH), AH with MSU crystal deposition, inter-critical gout and gout flare.MethodsStudy participants (n = 120) comprised 34 people with serum urate (SU)

Published
2022

44. Magnetic resonance imaging in first-episode psychosis

Author

Falkenberg, Irina, Benetti, Stefania, Raffln, Marie, Wuyts, Phillipe, Pettersson-Yeo, William, Dazzan, Paola, Morgan, Kevin D., Munray, Robin M., Marques, TIago Reis, David, Anthony S., Jarosz, Jozef, Simmons, Andrew, Williams, Steve, and McGuIre, Philip

Published
2017

48. New insights into the genetic etiology of Alzheimer's disease and related dementias

Author

Bellenguez, Celine, Kucukali, Fahri, Jansen, Iris E., Kleineidam, Luca, Moreno-Grau, Sonia, Amin, Najaf, Naj, Adam C., Campos-Martin, Rafael, Grenier-Boley, Benjamin, Andrade, Victor, Holmans, Peter A., Boland, Anne, Damotte, Vincent, van der Lee, Sven J., Costa, Marcos R., Kuulasmaa, Teemu, Yang, Qiong, De Rojas, Itziar, Bis, Joshua C., Yaqub, Amber, Prokic, Ivana, Chapuis, Julien, Ahmad, Shahzad, Giedraitis, Vilmantas, Aarsland, Dag, Garcia-Gonzalez, Pablo, Abdelnour, Carla, Alarcon-Martin, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Alvarez, Victoria, Armstrong, Nicola J., Tsolaki, Anthoula, Antunez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Arias Pastor, Alfonso, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belen, Below, Jennifer E., Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Celine, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Merce, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossu, Paola, Brathen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J., Ignacio Brusco, Luis, Buiza-Rueda, Dolores, Burger, Katharina, Burholt, Vanessa, Bush, William S., Calero, Miguel, Cantwell, Laura B., Chene, Genevieve, Chung, Jaeyoon, Cuccaro, Michael L., Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen A. H. R., Clark, Christopher, Conti, Elisa, Corma-Gomez, Anais, Costantini, Emanuele, Custodero, Carlo, Daian, Delphine, Dalmasso, Maria Carolina, Daniele, Antonio, Dardiotis, Efthimios, Dartigues, Jean-Francois, de Deyn, Peter Paul, Lopes, Katia de Paiva, De Witte, Lot D., Debette, Stephanie, Deckert, Jurgen, del Ser, Teodoro, Denning, Nicola, Destefano, Anita, Dichgans, Martin, Diehl-Schmid, Janine, Diez-Fairen, Monica, Rossi, Paolo Dionigi, Djurovic, Srdjan, Duron, Emmanuelle, Duzel, Emrah, Dufouil, Carole, Eiriksdottir, Gudny, Engelborghs, Sebastiaan, Escott-Price, Valentina, Espinosa, Ana, Ewers, Michael, Faber, Kelley M., Fabrizio, Tagliavini, Nielsen, Sune Fallgaard, Fardo, David W., Farotti, Lucia, Fenoglio, Chiara, Fernandez-Fuertes, Marta, Ferrari, Raffaele, Ferreira, Catarina B., Ferri, Evelyn, Fin, Bertrand, Fischer, Peter, Fladby, Tormod, Fliessbach, Klaus, Fongang, Bernard, Fornage, Myriam, Fortea, Juan, Foroud, Tatiana M., Fostinelli, Silvia, Fox, Nick C., Franco-Macias, Emlio, Bullido, Maria J., Frank-Garcia, Ana, Froelich, Lutz, Fulton-Howard, Brian, Galimberti, Daniela, Maria Garcia-Alberca, Jose, Garcia-Madrona, Sebastian, Garcia-Ribas, Guillermo, Ghidoni, Roberta, Giegling, Ina, Giorgio, Giaccone, Goate, Alison M., Goldhardt, Oliver, Gomez-Fonseca, Duber, Gonzalez-Perez, Antonio, Graff, Caroline, Grande, Giulia, Green, Emma, Grimmer, Timo, Grunblatt, Edna, Grunin, Michelle, Gudnason, Vilmundur, Guetta-Baranes, Tamar, Haapasalo, Annakaisa, Hadjigeorgiou, Georgios, Haines, Jonathan L., Hamilton-Nelson, Kara L., Hampel, Harald, Hanon, Olivier, Hardy, John, Hartmann, Annette M., Hausner, Lucrezia, Harwood, Janet, Heilmann-Heimbach, Stefanie, Helisalmi, Seppo, Heneka, Michael T., Hernandez, Isabel, Herrmann, Martin J., Hoffmann, Per, Holmes, Clive, Holstege, Henne, Huerto Vilas, Raquel, Hulsman, Marc, Humphrey, Jack, Biessels, Geert Jan, Jian, Xueqiu, Johansson, Charlotte, Jun, Gyungah R., Kastumata, Yuriko, Kauwe, John, Kehoe, Patrick G., Kilander, Lena, Stahlbom, Anne Kinhult, Kivipelto, Miia, Koivisto, Anne, Kornhuber, Johannes, Kosmidis, Mary H., Kukull, Walter A., Kuksa, Pavel P., Kunkle, Brian W., Kuzma, Amanda B., Lage, Carmen, Laukka, Erika J., Launer, Lenore, Lauria, Alessandra, Lee, Chien-Yueh, Lehtisalo, Jenni, Lerch, Ondrej, Lleo, Alberto, Longstreth, William, Jr., Lopez, Oscar, Lopez de Munain, Adolfo, Love, Seth, Lowemark, Malin, Luckcuck, Lauren, Lunetta, Kathryn L., Ma, Yiyi, Macias, Juan, Macleod, Catherine A., Maier, Wolfgang, Mangialasche, Francesca, Spallazzi, Marco, Marquie, Marta, Marshall, Rachel, Martin, Eden R., Martin Montes, Angel, Martinez Rodriguez, Carmen, Masullo, Carlo, Mayeux, Richard, Mead, Simon, Mecocci, Patrizia, Medina, Miguel, Meggy, Alun, Mehrabian, Shima, Mendoza, Silvia, Menendez-Gonzalez, Manuel, Mir, Pablo, Moebus, Susanne, Mol, Merel, Molina-Porcel, Laura, Montrreal, Laura, Morelli, Laura, Moreno, Fermin, Morgan, Kevin, Mosley, Thomas, Nothen, Markus M., Muchnik, Carolina, Mukherjee, Shubhabrata, Nacmias, Benedetta, Ngandu, Tiia, Nicolas, Gael, Nordestgaard, Borge G., Olaso, Robert, Orellana, Adelina, Orsini, Michela, Ortega, Gemma, Padovani, Alessandro, Paolo, Caffarra, Papenberg, Goran, Parnetti, Lucilla, Pasquier, Florence, Pastor, Pau, Peloso, Gina, Perez-Cordon, Alba, Perez-Tur, Jordi, Pericard, Pierre, Peters, Oliver, Pijnenburg, Yolande A. L., Pineda, Juan A., Pinol-Ripoll, Gerard, Pisanu, Laudia, Polak, Thomas, Popp, Julius, Posthuma, Danielle, Priller, Josef, Puerta, Raquel, Quenez, Olivier, Quintela, Ines, Thomassen, Jesper Qvist, Rabano, Alberto, Rainero, Innocenzo, Rajabli, Farid, Ramakers, Inez, Real, Luis M., Reinders, Marcel J. T., Reitz, Christiane, Reyes-Dumeyer, Dolly, Ridge, Perry, Riedel-Heller, Steffi, Riederer, Peter, Roberto, Natalia, Rodriguez-Rodriguez, Eloy, Rongve, Arvid, Rosas Allende, Irene, Rosende-Roca, Maitee, Luis Royo, Jose, Rubino, Elisa, Rujescu, Dan, Eugenia Saez, Maria, Sakka, Paraskevi, Saltvedt, Ingvild, Bernal Sanchez-Arjona, Maria, Sanchez-Garcia, Florentino, Sanchez Juan, Pascual, Sanchez-Valle, Raquel, Sando, Sigrid B., Sarnowski, Chloe, Satizabal, Claudia L., Scamosci, Michela, Scarmeas, Nikolaos, Scarpini, Elio, Scheltens, Philip, Scherbaum, Norbert, Scherer, Martin, Schmid, Matthias, Schneider, Anja, Schott, Jonathan M., Selbaek, Geir, Seripa, Davide, Serrano, Manuel, Sha, Jin, Shadrin, Alexey A., Skrobot, Olivia, Slifer, Susan, Snijders, Gijsje J. L., Soininen, Hilkka, Solfrizzi, Vincenzo, Solomon, Alina, Song, Yeunjoo, Sorbi, Sandro, Sotolongo-Grau, Oscar, Spalletta, Gianfranco, Spottke, Annika, Squassina, Alessio, Stordal, Eystein, Pablo Tartan, Juan, Tarraga, Lluis, Tesi, Niccolo, Thalamuthu, Anbupalam, Thomas, Tegos, Tosto, Giuseppe, Traykov, Latchezar, Tremolizzo, Lucio, Tybjaerg-Hansen, Anne, Uitterlinden, Andre, Ullgren, Abbe, Ulstein, Ingun, Valero, Sergi, Valladares, Otto, Van Broeckhoven, Christine, Vance, Jeffery, Vardarajan, Badri N., van der Lugt, Aad, Van Dongen, Jasper, van Rooij, Jeroen, van Swieten, John, Vandenberghe, Rik, Verhey, Frans, Vidal, Jean-Sebastien, Vogelgsang, Jonathan, Vyhnalek, Martin, Wagner, Michael, Wallon, David, Wang, Li-San, Wang, Ruiqi, Weinhold, Leonie, Wiltfang, Jens, Windle, Gill, Woods, Bob, Yannakoulia, Mary, Zare, Habil, Zhao, Yi, Zhang, Xiaoling, Zhu, Congcong, Zulaica, Miren, Farrer, Lindsay A., Psaty, Bruce M., Ghanbari, Mohsen, Raj, Towfique, Sachdev, Perminder, Mather, Karen, Jessen, Frank, Ikram, M. Arfan, de Mendonca, Alexandre, Hort, Jakub, Tsolaki, Magda, Pericak-Vance, Margaret A., Amouyel, Philippe, Williams, Julie, Frikke-Schmidt, Ruth, Clarimon, Jordi, Deleuze, Jean-Francois, Rossi, Giacomina, Seshadri, Sudha, Andreassen, Ole A., Ingelsson, Martin, Hiltunen, Mikko, Sleegers, Kristel, Schellenberg, Gerard D., van Duijn, Cornelia M., Sims, Rebecca, van der Flier, Wiesje M., Ruiz, Agustin, Ramirez, Alfredo, Lambert, Jean-Charles, Bellenguez, Celine, Kucukali, Fahri, Jansen, Iris E., Kleineidam, Luca, Moreno-Grau, Sonia, Amin, Najaf, Naj, Adam C., Campos-Martin, Rafael, Grenier-Boley, Benjamin, Andrade, Victor, Holmans, Peter A., Boland, Anne, Damotte, Vincent, van der Lee, Sven J., Costa, Marcos R., Kuulasmaa, Teemu, Yang, Qiong, De Rojas, Itziar, Bis, Joshua C., Yaqub, Amber, Prokic, Ivana, Chapuis, Julien, Ahmad, Shahzad, Giedraitis, Vilmantas, Aarsland, Dag, Garcia-Gonzalez, Pablo, Abdelnour, Carla, Alarcon-Martin, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Alvarez, Victoria, Armstrong, Nicola J., Tsolaki, Anthoula, Antunez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Arias Pastor, Alfonso, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belen, Below, Jennifer E., Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Celine, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Merce, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossu, Paola, Brathen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J., Ignacio Brusco, Luis, Buiza-Rueda, Dolores, Burger, Katharina, Burholt, Vanessa, Bush, William S., Calero, Miguel, Cantwell, Laura B., Chene, Genevieve, Chung, Jaeyoon, Cuccaro, Michael L., Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen A. 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L., Pineda, Juan A., Pinol-Ripoll, Gerard, Pisanu, Laudia, Polak, Thomas, Popp, Julius, Posthuma, Danielle, Priller, Josef, Puerta, Raquel, Quenez, Olivier, Quintela, Ines, Thomassen, Jesper Qvist, Rabano, Alberto, Rainero, Innocenzo, Rajabli, Farid, Ramakers, Inez, Real, Luis M., Reinders, Marcel J. T., Reitz, Christiane, Reyes-Dumeyer, Dolly, Ridge, Perry, Riedel-Heller, Steffi, Riederer, Peter, Roberto, Natalia, Rodriguez-Rodriguez, Eloy, Rongve, Arvid, Rosas Allende, Irene, Rosende-Roca, Maitee, Luis Royo, Jose, Rubino, Elisa, Rujescu, Dan, Eugenia Saez, Maria, Sakka, Paraskevi, Saltvedt, Ingvild, Bernal Sanchez-Arjona, Maria, Sanchez-Garcia, Florentino, Sanchez Juan, Pascual, Sanchez-Valle, Raquel, Sando, Sigrid B., Sarnowski, Chloe, Satizabal, Claudia L., Scamosci, Michela, Scarmeas, Nikolaos, Scarpini, Elio, Scheltens, Philip, Scherbaum, Norbert, Scherer, Martin, Schmid, Matthias, Schneider, Anja, Schott, Jonathan M., Selbaek, Geir, Seripa, Davide, Serrano, Manuel, Sha, Jin, Shadrin, Alexey A., Skrobot, Olivia, Slifer, Susan, Snijders, Gijsje J. L., Soininen, Hilkka, Solfrizzi, Vincenzo, Solomon, Alina, Song, Yeunjoo, Sorbi, Sandro, Sotolongo-Grau, Oscar, Spalletta, Gianfranco, Spottke, Annika, Squassina, Alessio, Stordal, Eystein, Pablo Tartan, Juan, Tarraga, Lluis, Tesi, Niccolo, Thalamuthu, Anbupalam, Thomas, Tegos, Tosto, Giuseppe, Traykov, Latchezar, Tremolizzo, Lucio, Tybjaerg-Hansen, Anne, Uitterlinden, Andre, Ullgren, Abbe, Ulstein, Ingun, Valero, Sergi, Valladares, Otto, Van Broeckhoven, Christine, Vance, Jeffery, Vardarajan, Badri N., van der Lugt, Aad, Van Dongen, Jasper, van Rooij, Jeroen, van Swieten, John, Vandenberghe, Rik, Verhey, Frans, Vidal, Jean-Sebastien, Vogelgsang, Jonathan, Vyhnalek, Martin, Wagner, Michael, Wallon, David, Wang, Li-San, Wang, Ruiqi, Weinhold, Leonie, Wiltfang, Jens, Windle, Gill, Woods, Bob, Yannakoulia, Mary, Zare, Habil, Zhao, Yi, Zhang, Xiaoling, Zhu, Congcong, Zulaica, Miren, Farrer, Lindsay A., Psaty, Bruce M., Ghanbari, Mohsen, Raj, Towfique, Sachdev, Perminder, Mather, Karen, Jessen, Frank, Ikram, M. Arfan, de Mendonca, Alexandre, Hort, Jakub, Tsolaki, Magda, Pericak-Vance, Margaret A., Amouyel, Philippe, Williams, Julie, Frikke-Schmidt, Ruth, Clarimon, Jordi, Deleuze, Jean-Francois, Rossi, Giacomina, Seshadri, Sudha, Andreassen, Ole A., Ingelsson, Martin, Hiltunen, Mikko, Sleegers, Kristel, Schellenberg, Gerard D., van Duijn, Cornelia M., Sims, Rebecca, van der Flier, Wiesje M., Ruiz, Agustin, Ramirez, Alfredo, and Lambert, Jean-Charles

Abstract

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE epsilon 4 allele. Meta-analysis of genome-wide association studies on Alzheimer's disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer's disease and dementia.

Published
2022

49. Research Report: North Wales Growth Deal

Author

Beel, David, Russell, Bertie, Jones, Ian Rees, Morgan, Kevin, Jones, Martin, Beel, David, Russell, Bertie, Jones, Ian Rees, Morgan, Kevin, and Jones, Martin

Abstract

This report was produced in November 2022 as part of research undertaken by the Wales Institute of Social and Economic Research and Data (WISERD) as part of its ESRC Centre research programme. Fifteen remote interviews were conducted in English or Welsh (depending on the participant’s choice) by three researchers (Dr Beel, Prof IR Jones, Dr Russell). A range of potential participants were identified in dialogue with Alwen Williams the Programme Director of the North Wales Growth Deal (NWGD), from which we sampled a cross-section of interviewees, supplemented by interviews with a small number of political leaders. Whilst the interviewees will remain anonymous, they included: lead officers for economy, regeneration and development, local authority chief executives, NWGD team members, chief executives/managing director of NWGD partners, and local authority leaders. The interviews were supplemented with a limited review of reports and minutes associated with the NWGD. The interview schedule had been co-developed with members of the NWGD team and were conducted with a semi-structured approach. The interviews were transcribed and analysed using qualitative data processing software (NVivo). Interview transcripts can be made available on request by interviewees. These interviews were conducted as part of a wider research project focused on the role of regional economic development policy in supporting the strengthening of the Foundational Economy. The research was given ethical approval by the Cardiff University School of Social Sciences Research Ethics Committee (Reference Number: SREC/4077)

Published
2022

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