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714 results on '"van der Lee, Sven"'

1. Interest in genetic susceptibility testing and disclosure of AD dementia risk in cognitively normal adults: a survey study

Author: Waterink, Lisa, Masselink, Larissa A., van der Lee, Sven J., Visser, Leonie N. C., Cleutjens, Solange, van der Schaar, Jetske, van Harten, Argonde C., Scheltens, Philip, Sikkes, Sietske A. M., van der Flier, Wiesje M., and Zwan, Marissa D.
Published: 2024
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2. Cerebrospinal fluid proteomics in patients with Alzheimer’s disease reveals five molecular subtypes with distinct genetic risk profiles

Author: Tijms, Betty M., Vromen, Ellen M., Mjaavatten, Olav, Holstege, Henne, Reus, Lianne M., van der Lee, Sven, Wesenhagen, Kirsten E. J., Lorenzini, Luigi, Vermunt, Lisa, Venkatraghavan, Vikram, Tesi, Niccoló, Tomassen, Jori, den Braber, Anouk, Goossens, Julie, Vanmechelen, Eugeen, Barkhof, Frederik, Pijnenburg, Yolande A. L., van der Flier, Wiesje M., Teunissen, Charlotte E., Berven, Frode S., and Visser, Pieter Jelle
Published: 2024
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3. 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. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Author: Lahti, Jari, Tuominen, Samuli, Yang, Qiong, Pergola, Giulio, Ahmad, Shahzad, Amin, Najaf, Armstrong, Nicola J, Beiser, Alexa, Bey, Katharina, Bis, Joshua C, Boerwinkle, Eric, Bressler, Jan, Campbell, Archie, Campbell, Harry, Chen, Qiang, Corley, Janie, Cox, Simon R, Davies, Gail, De Jager, Philip L, Derks, Eske M, Faul, Jessica D, Fitzpatrick, Annette L, Fohner, Alison E, Ford, Ian, Fornage, Myriam, Gerring, Zachary, Grabe, Hans J, Grodstein, Francine, Gudnason, Vilmundur, Simonsick, Eleanor, Holliday, Elizabeth G, Joshi, Peter K, Kajantie, Eero, Kaprio, Jaakko, Karell, Pauliina, Kleineidam, Luca, Knol, Maria J, Kochan, Nicole A, Kwok, John B, Leber, Markus, Lam, Max, Lee, Teresa, Li, Shuo, Loukola, Anu, Luck, Tobias, Marioni, Riccardo E, Mather, Karen A, Medland, Sarah, Mirza, Saira S, Nalls, Mike A, Nho, Kwangsik, O’Donnell, Adrienne, Oldmeadow, Christopher, Painter, Jodie, Pattie, Alison, Reppermund, Simone, Risacher, Shannon L, Rose, Richard J, Sadashivaiah, Vijay, Scholz, Markus, Satizabal, Claudia L, Schofield, Peter W, Schraut, Katharina E, Scott, Rodney J, Simino, Jeannette, Smith, Albert V, Smith, Jennifer A, Stott, David J, Surakka, Ida, Teumer, Alexander, Thalamuthu, Anbupalam, Trompet, Stella, Turner, Stephen T, van der Lee, Sven J, Villringer, Arno, Völker, Uwe, Wilson, Robert S, Wittfeld, Katharina, Vuoksimaa, Eero, Xia, Rui, Yaffe, Kristine, Yu, Lei, Zare, Habil, Zhao, Wei, Ames, David, Attia, John, Bennett, David A, Brodaty, Henry, Chasman, Daniel I, Goldman, Aaron L, Hayward, Caroline, Ikram, M Arfan, Jukema, J Wouter, Kardia, Sharon LR, Lencz, Todd, Loeffler, Markus, Mattay, Venkata S, Palotie, Aarno, Psaty, Bruce M, and Ramirez, Alfredo
Subjects: Biological Psychology, Psychology, Genetics, Human Genome, Dementia, Behavioral and Social Science, Brain Disorders, Acquired Cognitive Impairment, Mental Health, Biotechnology, Aging, Clinical Research, Neurosciences, Basic Behavioral and Social Science, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Memory, Short-Term, Learning, Verbal Learning, Multifactorial Inheritance, Brain, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.
Published: 2022

5. Genome-wide analyses reveal a potential role for the MAPT, MOBP, and APOE loci in sporadic frontotemporal dementia

Author: Manzoni, Claudia, Kia, Demis A., Ferrari, Raffaele, Leonenko, Ganna, Costa, Beatrice, Saba, Valentina, Jabbari, Edwin, Tan, Manuela MX., Albani, Diego, Alvarez, Victoria, Alvarez, Ignacio, Andreassen, Ole A., Angiolillo, Antonella, Arighi, Andrea, Baker, Matt, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Blackburn, Daniel J., Boada, Merce, Boeve, Bradley F., Borrego-Ecija, Sergi, Borroni, Barbara, Bråthen, Geir, Brooks, William S., Bruni, Amalia C., Caroppo, Paola, Bandres-Ciga, Sara, Clarimon, Jordi, Colao, Rosanna, Cruchaga, Carlos, Danek, Adrian, de Boer, Sterre CM., de Rojas, Itziar, di Costanzo, Alfonso, Dickson, Dennis W., Diehl-Schmid, Janine, Dobson-Stone, Carol, Dols-Icardo, Oriol, Donizetti, Aldo, Dopper, Elise, Durante, Elisabetta, Ferrari, Camilla, Forloni, Gianluigi, Frangipane, Francesca, Fratiglioni, Laura, Kramberger, Milica G., Galimberti, Daniela, Gallucci, Maurizio, García-González, Pablo, Ghidoni, Roberta, Giaccone, Giorgio, Graff, Caroline, Graff-Radford, Neill R., Grafman, Jordan, Halliday, Glenda M., Hernandez, Dena G., Hjermind, Lena E., Hodges, John R., Holloway, Guy, Huey, Edward D., Illán-Gala, Ignacio, Josephs, Keith A., Knopman, David S., Kristiansen, Mark, Kwok, John B., Leber, Isabelle, Leonard, Hampton L., Libri, Ilenia, Lleo, Alberto, Mackenzie, Ian R., Madhan, Gaganjit K., Maletta, Raffaele, Marquié, Marta, Maver, Ales, Menendez-Gonzalez, Manuel, Milan, Graziella, Miller, Bruce L., Morris, Christopher M., Morris, Huw R., Nacmias, Benedetta, Newton, Judith, Nielsen, Jørgen E., Nilsson, Christer, Novelli, Valeria, Padovani, Alessandro, Pal, Suvankar, Pasquier, Florence, Pastor, Pau, Perneczky, Robert, Peterlin, Borut, Petersen, Ronald C., Piguet, Olivier, Pijnenburg, Yolande AL., Puca, Annibale A., Rademakers, Rosa, Rainero, Innocenzo, Reus, Lianne M., Richardson, Anna MT., Riemenschneider, Matthias, Rogaeva, Ekaterina, Rogelj, Boris, Rollinson, Sara, Rosen, Howard, Rossi, Giacomina, Rowe, James B., Rubino, Elisa, Ruiz, Agustin, Salvi, Erika, Sanchez-Valle, Raquel, Sando, Sigrid Botne, Santillo, Alexander F., Saxon, Jennifer A., Schlachetzki, Johannes CM., Scholz, Sonja W., Seelaar, Harro, Seeley, William W., Serpente, Maria, Sorbi, Sandro, Sordon, Sabrina, St George-Hyslop, Peter, Thompson, Jennifer C., Van Broeckhoven, Christine, Van Deerlin, Vivianna M., Van der Lee, Sven J., Van Swieten, John, Tagliavini, Fabrizio, van der Zee, Julie, Veronesi, Arianna, Vitale, Emilia, Waldo, Maria Landqvist, Yokoyama, Jennifer S., Nalls, Mike A., Momeni, Parastoo, Singleton, Andrew B., Hardy, John, and Escott-Price, Valentina
Published: 2024
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6. New insights into the genetic etiology of Alzheimer’s disease and related dementias

Author: Bellenguez, Céline, Küçükali, 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, Alarcón-Martín, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Álvarez, Victoria, Armstrong, Nicola J, Tsolaki, Anthoula, Antúnez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Pastor, Alfonso Arias, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belén, Below, Jennifer E, Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Céline, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Mercè, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossù, Paola, Bråthen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J, Brusco, Luis Ignacio, Buiza-Rueda, Dolores, Bûrger, Katharina, Burholt, Vanessa, Bush, William S, Calero, Miguel, Cantwell, Laura B, Chene, Geneviève, Chung, Jaeyoon, Cuccaro, Michael L, Carracedo, Ángel, Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen AHR, Clark, Christopher, Conti, Elisa, Corma-Gómez, Anaïs, Costantini, Emanuele, Custodero, Carlo, Daian, Delphine, Dalmasso, Maria Carolina, Daniele, Antonio, Dardiotis, Efthimios, Dartigues, Jean-François, de Deyn, Peter Paul, de Paiva Lopes, Katia, de Witte, Lot D, Debette, Stéphanie, Deckert, Jürgen, and del Ser, Teodoro
Subjects: Biochemistry and Cell Biology, Genetics, Biological Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Alzheimer's Disease, Human Genome, Prevention, Aging, Brain Disorders, Acquired Cognitive Impairment, Neurosciences, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, Neurological, Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins, EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
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 ε4 allele.
Published: 2022

7. 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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8. Plasma amyloid β levels are driven by genetic variants near APOE, BACE1, APP, PSEN2: A genome‐wide association study in over 12,000 non‐demented participants

Author: Damotte, Vincent, van der Lee, Sven J, Chouraki, Vincent, Grenier‐Boley, Benjamin, Simino, Jeannette, Adams, Hieab, Tosto, Giuseppe, White, Charles, Terzikhan, Natalie, Cruchaga, Carlos, Knol, Maria J, Li, Shuo, Schraen, Susanna, Grove, Megan L, Satizabal, Claudia, Amin, Najaf, Berr, Claudine, Younkin, Steven, Initiative, Alzheimer's Disease Neuroimaging, Gottesman, Rebecca F, Buée, Luc, Beiser, Alexa, Knopman, David S, Uitterlinden, Andre, DeCarli, Charles, Bressler, Jan, DeStefano, Anita, Dartigues, Jean‐François, Yang, Qiong, Boerwinkle, Eric, Tzourio, Christophe, Fornage, Myriam, Ikram, M Arfan, Amouyel, Philippe, de Jager, Phil, Reitz, Christiane, Mosley, Thomas H, Lambert, Jean‐Charles, Seshadri, Sudha, and van Duijn, Cornelia M
Subjects: Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Brain Disorders, Alzheimer's Disease, Dementia, Prevention, Genetics, Aging, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Alzheimer Disease, Amyloid, Amyloid Precursor Protein Secretases, Amyloid beta-Protein Precursor, Apolipoproteins E, Aspartic Acid Endopeptidases, Brain, Genome-Wide Association Study, Healthy Volunteers, Humans, Positron-Emission Tomography, Presenilin-2, Alzheimer&apos, s disease, APOE, APP, BACE1, endophenotype, genetic epidemiology, genome&#8209, wide association study, plasma amyloid beta levels, plasma biomarkers, preclinical biomarkers, PSEN2, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's disease, genome-wide association study, Geriatrics, Clinical sciences, Biological psychology
Abstract: IntroductionThere is increasing interest in plasma amyloid beta (Aβ) as an endophenotype of Alzheimer's disease (AD). Identifying the genetic determinants of plasma Aβ levels may elucidate important biological processes that determine plasma Aβ measures.MethodsWe included 12,369 non-demented participants from eight population-based studies. Imputed genetic data and measured plasma Aβ1-40, Aβ1-42 levels and Aβ1-42/Aβ1-40 ratio were used to perform genome-wide association studies, and gene-based and pathway analyses. Significant variants and genes were followed up for their association with brain positron emission tomography Aβ deposition and AD risk.ResultsSingle-variant analysis identified associations with apolipoprotein E (APOE) for Aβ1-42 and Aβ1-42/Aβ1-40 ratio, and BACE1 for Aβ1-40. Gene-based analysis of Aβ1-40 additionally identified associations for APP, PSEN2, CCK, and ZNF397. There was suggestive evidence for interaction between a BACE1 variant and APOE ε4 on brain Aβ deposition.DiscussionIdentification of variants near/in known major Aβ-processing genes strengthens the relevance of plasma-Aβ levels as an endophenotype of AD.
Published: 2021

9. Association of low-frequency and rare coding variants with information processing speed

Author: Bressler, Jan, Davies, Gail, Smith, Albert V, Saba, Yasaman, Bis, Joshua C, Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A, Mirza, Saira S, Wang, Ruiqi, Adams, Hieab HH, Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R, Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F, Grove, Megan L, Guo, Xiuqing, Hofer, Edith, Kardia, Sharon LR, Knol, Maria J, Koini, Marisa, Lopez, Oscar L, Marioni, Riccardo E, Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J, Rudan, Igor, Satizabal, Claudia L, Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H, Turner, Stephen T, van der Lee, Sven J, Ware, Erin B, Whitmer, Rachel A, Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J, Fitzpatrick, Annette L, Psaty, Bruce M, Fornage, Myriam, Arfan Ikram, M, van Duijn, Cornelia M, Seshadri, Sudha, Mosley, Thomas H, and Deary, Ian J
Subjects: Genetics, Brain Disorders, Aging, Human Genome, Adult, Cognition, Genome-Wide Association Study, Geroscience, Humans, Polymorphism, Single Nucleotide, Ubiquitin-Protein Ligases, Clinical Sciences, Public Health and Health Services, Psychology
Abstract: Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 × 10-6) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.
Published: 2021

10. Association of common genetic variants with brain microbleeds: A Genome-wide Association Study

Author: Knol, Maria J, Lu, Dongwei, Traylor, Matthew, Adams, Hieab HH, Romero, José Rafael J, Smith, Albert V, Fornage, Myriam, Hofer, Edith, Liu, Junfeng, Hostettler, Isabel C, Luciano, Michelle, Trompet, Stella, Giese, Anne-Katrin, Hilal, Saima, van den Akker, Erik B, Vojinovic, Dina, Li, Shuo, Sigurdsson, Sigurdur, van der Lee, Sven J, Jack, Clifford R, Wilson, Duncan, Yilmaz, Pinar, Satizabal, Claudia L, Liewald, David CM, van der Grond, Jeroen, Chen, Christopher, Saba, Yasaman, van der Lugt, Aad, Bastin, Mark E, Windham, B Gwen, Cheng, Ching Yu, Pirpamer, Lukas, Kantarci, Kejal, Himali, Jayandra J, Yang, Qiong, Morris, Zoe, Beiser, Alexa S, Tozer, Daniel J, Vernooij, Meike W, Amin, Najaf, Beekman, Marian, Koh, Jia Yu, Stott, David J, Houlden, Henry, Schmidt, Reinhold, Gottesman, Rebecca F, MacKinnon, Andrew D, DeCarli, Charles, Gudnason, Vilmundur, Deary, Ian J, van Duijn, Cornelia M, Slagboom, P Eline, Wong, Tien Yin, Rost, Natalia S, Jukema, J Wouter, Mosley, Thomas H, Werring, David J, Schmidt, Helena, Wardlaw, Joanna M, Ikram, M Arfan, Seshadri, Sudha, Launer, Lenore J, Markus, Hugh S, and Initiative, for the Alzheimer’s Disease Neuroimaging
Subjects: Stroke, Human Genome, Neurosciences, Brain Disorders, Genetics, Prevention, Aetiology, 2.1 Biological and endogenous factors, Aged, Aged, 80 and over, Alleles, Apolipoprotein E2, Apolipoprotein E4, Apolipoproteins E, Case-Control Studies, Cerebral Hemorrhage, Cerebral Small Vessel Diseases, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, White Matter, Alzheimer's Disease Neuroimaging Initiative, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract: ObjectiveTo identify common genetic variants associated with the presence of brain microbleeds (BMBs).MethodsWe performed genome-wide association studies in 11 population-based cohort studies and 3 case-control or case-only stroke cohorts. Genotypes were imputed to the Haplotype Reference Consortium or 1000 Genomes reference panel. BMBs were rated on susceptibility-weighted or T2*-weighted gradient echo MRI sequences, and further classified as lobar or mixed (including strictly deep and infratentorial, possibly with lobar BMB). In a subset, we assessed the effects of APOE ε2 and ε4 alleles on BMB counts. We also related previously identified cerebral small vessel disease variants to BMBs.ResultsBMBs were detected in 3,556 of the 25,862 participants, of which 2,179 were strictly lobar and 1,293 mixed. One locus in the APOE region reached genome-wide significance for its association with BMB (lead single nucleotide polymorphism rs769449; odds ratio [OR]any BMB [95% confidence interval (CI)] 1.33 [1.21-1.45]; p = 2.5 × 10-10). APOE ε4 alleles were associated with strictly lobar (OR [95% CI] 1.34 [1.19-1.50]; p = 1.0 × 10-6) but not with mixed BMB counts (OR [95% CI] 1.04 [0.86-1.25]; p = 0.68). APOE ε2 alleles did not show associations with BMB counts. Variants previously related to deep intracerebral hemorrhage and lacunar stroke, and a risk score of cerebral white matter hyperintensity variants, were associated with BMB.ConclusionsGenetic variants in the APOE region are associated with the presence of BMB, most likely due to the APOE ε4 allele count related to a higher number of strictly lobar BMBs. Genetic predisposition to small vessel disease confers risk of BMB, indicating genetic overlap with other cerebral small vessel disease markers.
Published: 2020

11. Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers

Author: Jansen, Iris E., van der Lee, Sven J., Gomez-Fonseca, Duber, de Rojas, Itziar, Dalmasso, Maria Carolina, Grenier-Boley, Benjamin, Zettergren, Anna, Mishra, Aniket, Ali, Muhammad, Andrade, Victor, Bellenguez, Céline, Kleineidam, Luca, Küçükali, Fahri, Sung, Yun Ju, Tesí, Niccolo, Vromen, Ellen M., Wightman, Douglas P., Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Amouyel, Philippe, Athanasiu, Lavinia, Bahrami, Shahram, Bailly, Henri, Belbin, Olivia, Bergh, Sverre, Bertram, Lars, Biessels, Geert Jan, Blennow, Kaj, Blesa, Rafael, Boada, Mercè, Boland, Anne, Buerger, Katharina, Carracedo, Ángel, Cervera-Carles, Laura, Chene, Geneviève, Claassen, Jurgen A. H. R., Debette, Stephanie, Deleuze, Jean-Francois, de Deyn, Peter Paul, Diehl-Schmid, Janine, Djurovic, Srdjan, Dols-Icardo, Oriol, Dufouil, Carole, Duron, Emmanuelle, Düzel, Emrah, Fladby, Tormod, Fortea, Juan, Frölich, Lutz, García-González, Pablo, Garcia-Martinez, Maria, Giegling, Ina, Goldhardt, Oliver, Gobom, Johan, Grimmer, Timo, Haapasalo, Annakaisa, Hampel, Harald, Hanon, Olivier, Hausner, Lucrezia, Heilmann-Heimbach, Stefanie, Helisalmi, Seppo, Heneka, Michael T., Hernández, Isabel, Herukka, Sanna-Kaisa, Holstege, Henne, Jarholm, Jonas, Kern, Silke, Knapskog, Anne-Brita, Koivisto, Anne M., Kornhuber, Johannes, Kuulasmaa, Teemu, Lage, Carmen, Laske, Christoph, Leinonen, Ville, Lewczuk, Piotr, Lleó, Alberto, de Munain, Adolfo López, Lopez-Garcia, Sara, Maier, Wolfgang, Marquié, Marta, Mol, Merel O., Montrreal, Laura, Moreno, Fermin, Moreno-Grau, Sonia, Nicolas, Gael, Nöthen, Markus M., Orellana, Adelina, Pålhaugen, Lene, Papma, Janne M., Pasquier, Florence, Perneczky, Robert, Peters, Oliver, Pijnenburg, Yolande A. L., Popp, Julius, Posthuma, Danielle, Pozueta, Ana, Priller, Josef, Puerta, Raquel, Quintela, Inés, Ramakers, Inez, Rodriguez-Rodriguez, Eloy, Rujescu, Dan, Saltvedt, Ingvild, Sanchez-Juan, Pascual, Scheltens, Philip, Scherbaum, Norbert, Schmid, Matthias, Schneider, Anja, Selbæk, Geir, Selnes, Per, Shadrin, Alexey, Skoog, Ingmar, Soininen, Hilkka, Tárraga, Lluís, Teipel, Stefan, Tijms, Betty, Tsolaki, Magda, Van Broeckhoven, Christine, Van Dongen, Jasper, van Swieten, John C., Vandenberghe, Rik, Vidal, Jean-Sébastien, Visser, Pieter J., Vogelgsang, Jonathan, Waern, Margda, Wagner, Michael, Wiltfang, Jens, Wittens, Mandy M. J., Zetterberg, Henrik, Zulaica, Miren, van Duijn, Cornelia M., Bjerke, Maria, Engelborghs, Sebastiaan, Jessen, Frank, Teunissen, Charlotte E., Pastor, Pau, Hiltunen, Mikko, Ingelsson, Martin, Andreassen, Ole A., Clarimón, Jordi, Sleegers, Kristel, Ruiz, Agustín, Ramirez, Alfredo, Cruchaga, Carlos, Lambert, Jean-Charles, and van der Flier, Wiesje
Published: 2022
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12. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.

Author: Hofer, Edith, Roshchupkin, Gennady V, Adams, Hieab HH, Knol, Maria J, Lin, Honghuang, Li, Shuo, Zare, Habil, Ahmad, Shahzad, Armstrong, Nicola J, Satizabal, Claudia L, Bernard, Manon, Bis, Joshua C, Gillespie, Nathan A, Luciano, Michelle, Mishra, Aniket, Scholz, Markus, Teumer, Alexander, Xia, Rui, Jian, Xueqiu, Mosley, Thomas H, Saba, Yasaman, Pirpamer, Lukas, Seiler, Stephan, Becker, James T, Carmichael, Owen, Rotter, Jerome I, Psaty, Bruce M, Lopez, Oscar L, Amin, Najaf, van der Lee, Sven J, Yang, Qiong, Himali, Jayandra J, Maillard, Pauline, Beiser, Alexa S, DeCarli, Charles, Karama, Sherif, Lewis, Lindsay, Harris, Mat, Bastin, Mark E, Deary, Ian J, Veronica Witte, A, Beyer, Frauke, Loeffler, Markus, Mather, Karen A, Schofield, Peter R, Thalamuthu, Anbupalam, Kwok, John B, Wright, Margaret J, Ames, David, Trollor, Julian, Jiang, Jiyang, Brodaty, Henry, Wen, Wei, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, Niessen, Wiro J, Wittfeld, Katharina, Bülow, Robin, Völker, Uwe, Pausova, Zdenka, Bruce Pike, G, Maingault, Sophie, Crivello, Fabrice, Tzourio, Christophe, Amouyel, Philippe, Mazoyer, Bernard, Neale, Michael C, Franz, Carol E, Lyons, Michael J, Panizzon, Matthew S, Andreassen, Ole A, Dale, Anders M, Logue, Mark, Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, ENIGMA consortium, Sachdev, Perminder S, Kremen, William S, Wardlaw, Joanna M, Villringer, Arno, van Duijn, Cornelia M, Grabe, Hans J, Longstreth, William T, Fornage, Myriam, Paus, Tomas, Debette, Stephanie, Ikram, M Arfan, Schmidt, Helena, Schmidt, Reinhold, and Seshadri, Sudha
Subjects: ENIGMA consortium, Brain, Chromosome Structures, Humans, Neurodegenerative Diseases, Cognition, Mental Disorders, Genomics, Aging, Phenotype, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Genome-Wide Association Study, Genetics, Neurosciences, Human Genome, Brain Disorders, Biotechnology, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Neurological
Abstract: Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
Published: 2020

13. Correction to: A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.

Author: van der Lee, Sven J, Conway, Olivia J, Jansen, Iris, Carrasquillo, Minerva M, Kleineidam, Luca, van den Akker, Erik, Hernández, Isabel, van Eijk, Kristel R, Stringa, Najada, Chen, Jason A, Zettergren, Anna, Andlauer, Till FM, Diez-Fairen, Monica, Simon-Sanchez, Javier, Lleó, Alberto, Zetterberg, Henrik, Nygaard, Marianne, Blauwendraat, Cornelis, Savage, Jeanne E, Mengel-From, Jonas, Moreno-Grau, Sonia, Wagner, Michael, Fortea, Juan, Keogh, Michael J, Blennow, Kaj, Skoog, Ingmar, Friese, Manuel A, Pletnikova, Olga, Zulaica, Miren, Lage, Carmen, de Rojas, Itziar, Riedel-Heller, Steffi, Illán-Gala, Ignacio, Wei, Wei, Jeune, Bernard, Orellana, Adelina, Then Bergh, Florian, Wang, Xue, Hulsman, Marc, Beker, Nina, Tesi, Niccolo, Morris, Christopher M, Indakoetxea, Begoña, Collij, Lyduine E, Scherer, Martin, Morenas-Rodríguez, Estrella, Ironside, James W, van Berckel, Bart NM, Alcolea, Daniel, Wiendl, Heinz, Strickland, Samantha L, Pastor, Pau, Rodríguez Rodríguez, Eloy, DESGESCO (Dementia Genetics Spanish Consortium), EADB (Alzheimer Disease European DNA biobank), IFGC (International FTD-Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), RiMod-FTD (Risk and Modifying factors in Fronto-Temporal Dementia), Netherlands Brain Bank (NBB), Boeve, Bradley F, Petersen, Ronald C, Ferman, Tanis J, van Gerpen, Jay A, Reinders, Marcel JT, Uitti, Ryan J, Tárraga, Lluís, Maier, Wolfgang, Dols-Icardo, Oriol, Kawalia, Amit, Dalmasso, Maria Carolina, Boada, Mercè, Zettl, Uwe K, van Schoor, Natasja M, Beekman, Marian, Allen, Mariet, Masliah, Eliezer, de Munain, Adolfo López, Pantelyat, Alexander, Wszolek, Zbigniew K, Ross, Owen A, Dickson, Dennis W, Graff-Radford, Neill R, Knopman, David, Rademakers, Rosa, Lemstra, Afina W, Pijnenburg, Yolande AL, Scheltens, Philip, Gasser, Thomas, Chinnery, Patrick F, Hemmer, Bernhard, Huisman, Martijn A, Troncoso, Juan, Moreno, Fermin, Nohr, Ellen A, Sørensen, Thorkild IA, Heutink, Peter, Sánchez-Juan, Pascual, Posthuma, Danielle, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, and Clarimón, Jordi
Subjects: DESGESCO, EADB, IFGC, IPDGC, RiMod-FTD, Netherlands Brain Bank, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, Acquired Cognitive Impairment, Brain Disorders, Neurodegenerative, Alzheimer's Disease, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Aging, Parkinson's Disease, Genetics, 2.1 Biological and endogenous factors, Neurological, Neurology & Neurosurgery, Clinical Sciences
Abstract: The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.
Published: 2020

14. Genetic architecture of subcortical brain structures in 38,851 individuals

Author: Satizabal, Claudia L, Adams, Hieab HH, Hibar, Derrek P, White, Charles C, Knol, Maria J, Stein, Jason L, Scholz, Markus, Sargurupremraj, Muralidharan, Jahanshad, Neda, Roshchupkin, Gennady V, Smith, Albert V, Bis, Joshua C, Jian, Xueqiu, Luciano, Michelle, Hofer, Edith, Teumer, Alexander, van der Lee, Sven J, Yang, Jingyun, Yanek, Lisa R, Lee, Tom V, Li, Shuo, Hu, Yanhui, Koh, Jia Yu, Eicher, John D, Desrivières, Sylvane, Arias-Vasquez, Alejandro, Chauhan, Ganesh, Athanasiu, Lavinia, Rentería, Miguel E, Kim, Sungeun, Hoehn, David, Armstrong, Nicola J, Chen, Qiang, Holmes, Avram J, den Braber, Anouk, Kloszewska, Iwona, Andersson, Micael, Espeseth, Thomas, Grimm, Oliver, Abramovic, Lucija, Alhusaini, Saud, Milaneschi, Yuri, Papmeyer, Martina, Axelsson, Tomas, Ehrlich, Stefan, Roiz-Santiañez, Roberto, Kraemer, Bernd, Håberg, Asta K, Jones, Hannah J, Pike, G Bruce, Stein, Dan J, Stevens, Allison, Bralten, Janita, Vernooij, Meike W, Harris, Tamara B, Filippi, Irina, Witte, A Veronica, Guadalupe, Tulio, Wittfeld, Katharina, Mosley, Thomas H, Becker, James T, Doan, Nhat Trung, Hagenaars, Saskia P, Saba, Yasaman, Cuellar-Partida, Gabriel, Amin, Najaf, Hilal, Saima, Nho, Kwangsik, Mirza-Schreiber, Nazanin, Arfanakis, Konstantinos, Becker, Diane M, Ames, David, Goldman, Aaron L, Lee, Phil H, Boomsma, Dorret I, Lovestone, Simon, Giddaluru, Sudheer, Le Hellard, Stephanie, Mattheisen, Manuel, Bohlken, Marc M, Kasperaviciute, Dalia, Schmaal, Lianne, Lawrie, Stephen M, Agartz, Ingrid, Walton, Esther, Tordesillas-Gutierrez, Diana, Davies, Gareth E, Shin, Jean, Ipser, Jonathan C, Vinke, Louis N, Hoogman, Martine, Jia, Tianye, Burkhardt, Ralph, Klein, Marieke, Crivello, Fabrice, Janowitz, Deborah, Carmichael, Owen, Haukvik, Unn K, Aribisala, Benjamin S, and Schmidt, Helena
Subjects: Biological Sciences, Genetics, Neurosciences, Biotechnology, Mental Health, Human Genome, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Aged, Animals, Brain, Cohort Studies, Drosophila melanogaster, Genetic Variation, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Middle Aged, Neurodevelopmental Disorders, Organ Size, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
Published: 2019

15. Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Author: Kunkle, Brian W, Grenier-Boley, Benjamin, Sims, Rebecca, Bis, Joshua C, Damotte, Vincent, Naj, Adam C, Boland, Anne, Vronskaya, Maria, van der Lee, Sven J, Amlie-Wolf, Alexandre, Bellenguez, Céline, Frizatti, Aura, Chouraki, Vincent, Martin, Eden R, Sleegers, Kristel, Badarinarayan, Nandini, Jakobsdottir, Johanna, Hamilton-Nelson, Kara L, Moreno-Grau, Sonia, Olaso, Robert, Raybould, Rachel, Chen, Yuning, Kuzma, Amanda B, Hiltunen, Mikko, Morgan, Taniesha, Ahmad, Shahzad, Vardarajan, Badri N, Epelbaum, Jacques, Hoffmann, Per, Boada, Merce, Beecham, Gary W, Garnier, Jean-Guillaume, Harold, Denise, Fitzpatrick, Annette L, Valladares, Otto, Moutet, Marie-Laure, Gerrish, Amy, Smith, Albert V, Qu, Liming, Bacq, Delphine, Denning, Nicola, Jian, Xueqiu, Zhao, Yi, Del Zompo, Maria, Fox, Nick C, Choi, Seung-Hoan, Mateo, Ignacio, Hughes, Joseph T, Adams, Hieab H, Malamon, John, Sanchez-Garcia, Florentino, Patel, Yogen, Brody, Jennifer A, Dombroski, Beth A, Naranjo, Maria Candida Deniz, Daniilidou, Makrina, Eiriksdottir, Gudny, Mukherjee, Shubhabrata, Wallon, David, Uphill, James, Aspelund, Thor, Cantwell, Laura B, Garzia, Fabienne, Galimberti, Daniela, Hofer, Edith, Butkiewicz, Mariusz, Fin, Bertrand, Scarpini, Elio, Sarnowski, Chloe, Bush, Will S, Meslage, Stéphane, Kornhuber, Johannes, White, Charles C, Song, Yuenjoo, Barber, Robert C, Engelborghs, Sebastiaan, Sordon, Sabrina, Voijnovic, Dina, Adams, Perrie M, Vandenberghe, Rik, Mayhaus, Manuel, Cupples, L Adrienne, Albert, Marilyn S, De Deyn, Peter P, Gu, Wei, Himali, Jayanadra J, Beekly, Duane, Squassina, Alessio, Hartmann, Annette M, Orellana, Adelina, Blacker, Deborah, Rodriguez-Rodriguez, Eloy, Lovestone, Simon, Garcia, Melissa E, Doody, Rachelle S, Munoz-Fernadez, Carmen, Sussams, Rebecca, Lin, Honghuang, Fairchild, Thomas J, and Benito, Yolanda A
Subjects: Biochemistry and Cell Biology, Biological Sciences, Alzheimer Disease Genetics Consortium, European Alzheimer’s Disease Initiative, Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium, Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology, Genetics
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019

16. A meta-analysis of genome-wide association studies identifies multiple longevity genes.

Author: Deelen, Joris, Evans, Daniel S, Arking, Dan E, Tesi, Niccolò, Nygaard, Marianne, Liu, Xiaomin, Wojczynski, Mary K, Biggs, Mary L, van der Spek, Ashley, Atzmon, Gil, Ware, Erin B, Sarnowski, Chloé, Smith, Albert V, Seppälä, Ilkka, Cordell, Heather J, Dose, Janina, Amin, Najaf, Arnold, Alice M, Ayers, Kristin L, Barzilai, Nir, Becker, Elizabeth J, Beekman, Marian, Blanché, Hélène, Christensen, Kaare, Christiansen, Lene, Collerton, Joanna C, Cubaynes, Sarah, Cummings, Steven R, Davies, Karen, Debrabant, Birgit, Deleuze, Jean-François, Duncan, Rachel, Faul, Jessica D, Franceschi, Claudio, Galan, Pilar, Gudnason, Vilmundur, Harris, Tamara B, Huisman, Martijn, Hurme, Mikko A, Jagger, Carol, Jansen, Iris, Jylhä, Marja, Kähönen, Mika, Karasik, David, Kardia, Sharon LR, Kingston, Andrew, Kirkwood, Thomas BL, Launer, Lenore J, Lehtimäki, Terho, Lieb, Wolfgang, Lyytikäinen, Leo-Pekka, Martin-Ruiz, Carmen, Min, Junxia, Nebel, Almut, Newman, Anne B, Nie, Chao, Nohr, Ellen A, Orwoll, Eric S, Perls, Thomas T, Province, Michael A, Psaty, Bruce M, Raitakari, Olli T, Reinders, Marcel JT, Robine, Jean-Marie, Rotter, Jerome I, Sebastiani, Paola, Smith, Jennifer, Sørensen, Thorkild IA, Taylor, Kent D, Uitterlinden, André G, van der Flier, Wiesje, van der Lee, Sven J, van Duijn, Cornelia M, van Heemst, Diana, Vaupel, James W, Weir, David, Ye, Kenny, Zeng, Yi, Zheng, Wanlin, Holstege, Henne, Kiel, Douglas P, Lunetta, Kathryn L, Slagboom, P Eline, and Murabito, Joanne M
Subjects: Humans, Heat-Shock Proteins, Longevity, Apolipoprotein E2, Apolipoprotein E4, Genome-Wide Association Study
Abstract: Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
Published: 2019

17. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

Author: van der Lee, Sven J, Knol, Maria J, Chauhan, Ganesh, Satizabal, Claudia L, Smith, Albert Vernon, Hofer, Edith, Bis, Joshua C, Hibar, Derrek P, Hilal, Saima, van den Akker, Erik B, Arfanakis, Konstantinos, Bernard, Manon, Yanek, Lisa R, Amin, Najaf, Crivello, Fabrice, Cheung, Josh W, Harris, Tamara B, Saba, Yasaman, Lopez, Oscar L, Li, Shuo, van der Grond, Jeroen, Yu, Lei, Paus, Tomas, Roshchupkin, Gennady V, Amouyel, Philippe, Jahanshad, Neda, Taylor, Kent D, Yang, Qiong, Mathias, Rasika A, Boehringer, Stefan, Mazoyer, Bernard, Rice, Ken, Cheng, Ching Yu, Maillard, Pauline, van Heemst, Diana, Wong, Tien Yin, Niessen, Wiro J, Beiser, Alexa S, Beekman, Marian, Zhao, Wanting, Nyquist, Paul A, Chen, Christopher, Launer, Lenore J, Psaty, Bruce M, Ikram, M Kamran, Vernooij, Meike W, Schmidt, Helena, Pausova, Zdenka, Becker, Diane M, De Jager, Philip L, Thompson, Paul M, van Duijn, Cornelia M, Bennett, David A, Slagboom, P Eline, Schmidt, Reinhold, Longstreth, WT, Ikram, M Arfan, Seshadri, Sudha, Debette, Stéphanie, Gudnason, Vilmundur, Adams, Hieab HH, and DeCarli, Charles
Subjects: Biological Sciences, Genetics, Neurosciences, Mental Health, Brain Disorders, Human Genome, Underpinning research, 1.1 Normal biological development and functioning, Aetiology, 2.1 Biological and endogenous factors, Neurological, Frontal Lobe, Gene Expression Regulation, Developmental, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Genotype, Heredity, Humans, Magnetic Resonance Imaging, Occipital Lobe, Organ Size, Parietal Lobe, Phenotype, Temporal Lobe, United Kingdom, Biomarkers, Genome-wide association studies, Neurology, Biological sciences, Biomedical and clinical sciences
Abstract: Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocampal volume, respectively. We identified four loci previously unknown to affect brain volumes: 3q24 for parietal lobe volume, and 1q22, 4p16.3 and 14q23.1 for occipital lobe volume. The associated variants were located in regions enriched for histone modifications (DAAM1 and THBS3), or close to genes causing Mendelian brain-related diseases (ZIC4 and FGFRL1). No genetic overlap between lobar volumes and neurological or psychiatric diseases was observed. Our findings reveal part of the complex genetics underlying brain development and suggest a role for regulatory regions in determining brain volumes.
Published: 2019

18. A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.

Author: van der Lee, Sven J, Conway, Olivia J, Jansen, Iris, Carrasquillo, Minerva M, Kleineidam, Luca, van den Akker, Erik, Hernández, Isabel, van Eijk, Kristel R, Stringa, Najada, Chen, Jason A, Zettergren, Anna, Andlauer, Till FM, Diez-Fairen, Monica, Simon-Sanchez, Javier, Lleó, Alberto, Zetterberg, Henrik, Nygaard, Marianne, Blauwendraat, Cornelis, Savage, Jeanne E, Mengel-From, Jonas, Moreno-Grau, Sonia, Wagner, Michael, Fortea, Juan, Keogh, Michael J, Blennow, Kaj, Skoog, Ingmar, Friese, Manuel A, Pletnikova, Olga, Zulaica, Miren, Lage, Carmen, de Rojas, Itziar, Riedel-Heller, Steffi, Illán-Gala, Ignacio, Wei, Wei, Jeune, Bernard, Orellana, Adelina, Then Bergh, Florian, Wang, Xue, Hulsman, Marc, Beker, Nina, Tesi, Niccolo, Morris, Christopher M, Indakoetxea, Begoña, Collij, Lyduine E, Scherer, Martin, Morenas-Rodríguez, Estrella, Ironside, James W, van Berckel, Bart NM, Alcolea, Daniel, Wiendl, Heinz, Strickland, Samantha L, Pastor, Pau, Rodríguez Rodríguez, Eloy, DESGESCO (Dementia Genetics Spanish Consortium), EADB (Alzheimer Disease European DNA biobank), EADB (Alzheimer Disease European DNA biobank), IFGC (International FTD-Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), RiMod-FTD (Risk and Modifying factors in Fronto-Temporal Dementia), Netherlands Brain Bank (NBB), Boeve, Bradley F, Petersen, Ronald C, Ferman, Tanis J, van Gerpen, Jay A, Reinders, Marcel JT, Uitti, Ryan J, Tárraga, Lluís, Maier, Wolfgang, Dols-Icardo, Oriol, Kawalia, Amit, Dalmasso, Maria Carolina, Boada, Mercè, Zettl, Uwe K, van Schoor, Natasja M, Beekman, Marian, Allen, Mariet, Masliah, Eliezer, de Munain, Adolfo López, Pantelyat, Alexander, Wszolek, Zbigniew K, Ross, Owen A, Dickson, Dennis W, Graff-Radford, Neill R, Knopman, David, Rademakers, Rosa, Lemstra, Afina W, Pijnenburg, Yolande AL, Scheltens, Philip, Gasser, Thomas, Chinnery, Patrick F, Hemmer, Bernhard, Huisman, Martijn A, Troncoso, Juan, Moreno, Fermin, Nohr, Ellen A, Sørensen, Thorkild IA, Heutink, Peter, Sánchez-Juan, Pascual, Posthuma, Danielle, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, and Clarimón, Jordi
Subjects: DESGESCO (Dementia Genetics Spanish Consortium), EADB, EADB, IFGC (International FTD-Genomics Consortium), IPDGC, IPDGC, RiMod-FTD, Netherlands Brain Bank, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, Alzheimer’s disease, Amyotrophic lateral sclerosis, Dementia with Lewy bodies, Frontotemporal dementia, Longevity, Multiple sclerosis, Neurodegenerative disease, PLCG2, Parkinson’s disease, Phospholipase C Gamma 2, Progressive supranuclear palsy, Alzheimer's disease, Parkinson's disease, Alzheimer's Disease, frontotemporal dementia, dementia with Lewy-bodies, progressive suprauclear palsy, Parkinson's Disease, amyotrophic lateral sclerosis, multiple sclerosis, neurodegenerative disease, longevity, Clinical Sciences, Neurosciences, Neurology & Neurosurgery
Abstract: The genetic variant rs72824905-G (minor allele) in the PLCG2 gene was previously associated with a reduced Alzheimer's disease risk (AD). The role of PLCG2 in immune system signaling suggests it may also protect against other neurodegenerative diseases and possibly associates with longevity. We studied the effect of the rs72824905-G on seven neurodegenerative diseases and longevity, using 53,627 patients, 3,516 long-lived individuals and 149,290 study-matched controls. We replicated the association of rs72824905-G with reduced AD risk and we found an association with reduced risk of dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). We did not find evidence for an effect on Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) risks, despite adequate sample sizes. Conversely, the rs72824905-G allele was associated with increased likelihood of longevity. By-proxy analyses in the UK Biobank supported the associations with both dementia and longevity. Concluding, rs72824905-G has a protective effect against multiple neurodegenerative diseases indicating shared aspects of disease etiology. Our findings merit studying the PLCγ2 pathway as drug-target.
Published: 2019

19. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author: Davies, Gail, Lam, Max, Harris, Sarah E, Trampush, Joey W, Luciano, Michelle, Hill, W David, Hagenaars, Saskia P, Ritchie, Stuart J, Marioni, Riccardo E, Fawns-Ritchie, Chloe, Liewald, David CM, Okely, Judith A, Ahola-Olli, Ari V, Barnes, Catriona LK, Bertram, Lars, Bis, Joshua C, Burdick, Katherine E, Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E, Hayward, Caroline, Hofer, Edith, Ikram, M Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A, Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A, Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A, Smith, Albert V, Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J, Ware, Erin B, Windham, B Gwen, Wright, Margaret J, Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A, Armstrong, Nicola J, Assareh, Amelia A, Attia, John R, Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A, Böhmer, Anne C, Boyle, Patricia A, Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D, Cirulli, Elizabeth T, Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R, Dale, Anders M, Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G, Evangelou, Evangelos, Faul, Jessica D, Ford, Ian, Freimer, Nelson A, Gao, He, Giegling, Ina, Gillespie, Nathan A, Gordon, Scott D, Gottesman, Rebecca F, Griswold, Michael E, Gudnason, Vilmundur, Harris, Tamara B, Hartmann, Annette M, Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G, Joshi, Peter K, Kähönen, Mika, Kardia, Sharon LR, Karlsson, Ida, and Kleineidam, Luca
Abstract: Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.
Published: 2019

20. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Author: Kunkle, Brian W, Grenier-Boley, Benjamin, Sims, Rebecca, Bis, Joshua C, Damotte, Vincent, Naj, Adam C, Boland, Anne, Vronskaya, Maria, van der Lee, Sven J, Amlie-Wolf, Alexandre, Bellenguez, Céline, Frizatti, Aura, Chouraki, Vincent, Martin, Eden R, Sleegers, Kristel, Badarinarayan, Nandini, Jakobsdottir, Johanna, Hamilton-Nelson, Kara L, Moreno-Grau, Sonia, Olaso, Robert, Raybould, Rachel, Chen, Yuning, Kuzma, Amanda B, Hiltunen, Mikko, Morgan, Taniesha, Ahmad, Shahzad, Vardarajan, Badri N, Epelbaum, Jacques, Hoffmann, Per, Boada, Merce, Beecham, Gary W, Garnier, Jean-Guillaume, Harold, Denise, Fitzpatrick, Annette L, Valladares, Otto, Moutet, Marie-Laure, Gerrish, Amy, Smith, Albert V, Qu, Liming, Bacq, Delphine, Denning, Nicola, Jian, Xueqiu, Zhao, Yi, Del Zompo, Maria, Fox, Nick C, Choi, Seung-Hoan, Mateo, Ignacio, Hughes, Joseph T, Adams, Hieab H, Malamon, John, Sanchez-Garcia, Florentino, Patel, Yogen, Brody, Jennifer A, Dombroski, Beth A, Naranjo, Maria Candida Deniz, Daniilidou, Makrina, Eiriksdottir, Gudny, Mukherjee, Shubhabrata, Wallon, David, Uphill, James, Aspelund, Thor, Cantwell, Laura B, Garzia, Fabienne, Galimberti, Daniela, Hofer, Edith, Butkiewicz, Mariusz, Fin, Bertrand, Scarpini, Elio, Sarnowski, Chloe, Bush, Will S, Meslage, Stéphane, Kornhuber, Johannes, White, Charles C, Song, Yuenjoo, Barber, Robert C, Engelborghs, Sebastiaan, Sordon, Sabrina, Voijnovic, Dina, Adams, Perrie M, Vandenberghe, Rik, Mayhaus, Manuel, Cupples, L Adrienne, Albert, Marilyn S, De Deyn, Peter P, Gu, Wei, Himali, Jayanadra J, Beekly, Duane, Squassina, Alessio, Hartmann, Annette M, Orellana, Adelina, Blacker, Deborah, Rodriguez-Rodriguez, Eloy, Lovestone, Simon, Garcia, Melissa E, Doody, Rachelle S, Munoz-Fernadez, Carmen, Sussams, Rebecca, Lin, Honghuang, Fairchild, Thomas J, and Benito, Yolanda A
Subjects: Biochemistry and Cell Biology, Genetics, Biological Sciences, Neurodegenerative, Dementia, Alzheimer's Disease, Aging, Prevention, Brain Disorders, Neurosciences, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, Neurological, Aged, Alzheimer Disease, Amyloid beta-Peptides, Case-Control Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Haplotypes, Humans, Immunity, Lipid Metabolism, Lipids, Male, tau Proteins, Alzheimer Disease Genetics Consortium (ADGC), European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.
Published: 2019

21. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author: Chauhan, Ganesh, Adams, Hieab HH, Satizabal, Claudia L, Bis, Joshua C, Teumer, Alexander, Sargurupremraj, Muralidharan, Hofer, Edith, Trompet, Stella, Hilal, Saima, Smith, Albert Vernon, Jian, Xueqiu, Malik, Rainer, Traylor, Matthew, Pulit, Sara L, Amouyel, Philippe, Mazoyer, Bernard, Zhu, Yi-Cheng, Kaffashian, Sara, Schilling, Sabrina, Beecham, Gary W, Montine, Thomas J, Schellenberg, Gerard D, Kjartansson, Olafur, Guðnason, Vilmundur, Knopman, David S, Griswold, Michael E, Windham, B Gwen, Gottesman, Rebecca F, Mosley, Thomas H, Schmidt, Reinhold, Saba, Yasaman, Schmidt, Helena, Takeuchi, Fumihiko, Yamaguchi, Shuhei, Nabika, Toru, Kato, Norihiro, Rajan, Kumar B, Aggarwal, Neelum T, De Jager, Philip L, Evans, Denis A, Psaty, Bruce M, Rotter, Jerome I, Rice, Kenneth, Lopez, Oscar L, Liao, Jiemin, Chen, Christopher, Cheng, Ching-Yu, Wong, Tien Y, Ikram, Mohammad K, van der Lee, Sven J, Amin, Najaf, Chouraki, Vincent, DeStefano, Anita L, Aparicio, Hugo J, Romero, Jose R, Maillard, Pauline, DeCarli, Charles, Wardlaw, Joanna M, del C. Valdés Hernández, Maria, Luciano, Michelle, Liewald, David, Deary, Ian J, Starr, John M, Bastin, Mark E, Maniega, Susana Muñoz, Slagboom, P Eline, Beekman, Marian, Deelen, Joris, Uh, Hae-Won, Lemmens, Robin, Brodaty, Henry, Wright, Margaret J, Ames, David, Boncoraglio, Giorgio B, Hopewell, Jemma C, Beecham, Ashley H, Blanton, Susan H, Wright, Clinton B, Sacco, Ralph L, Wen, Wei, Thalamuthu, Anbupalam, Armstrong, Nicola J, Chong, Elizabeth, Schofield, Peter R, Kwok, John B, van der Grond, Jeroen, Stott, David J, Ford, Ian, Jukema, J Wouter, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, van der Lugt, Aad, Wittfeld, Katharina, Grabe, Hans J, Hosten, Norbert, von Sarnowski, Bettina, Völker, Uwe, Levi, Christopher, and Jimenez-Conde, Jordi
Subjects: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Stroke, Brain Disorders, Human Genome, Cardiovascular, Aging, Prevention, Genetics, Cerebrovascular, 2.1 Biological and endogenous factors, Good Health and Well Being, Stroke Genetics Network (SiGN), the International Stroke Genetics Consortium (ISGC), METASTROKE, Alzheimer's Disease Genetics Consortium (ADGC), and the Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract: ObjectiveTo explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.MethodsWe performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI.ResultsThe mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy.ConclusionIn this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.
Published: 2019

22. Multi‐phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

Author: Temprano‐Sagrera, Gerard, Sitlani, Colleen M., Bone, William P., Martin‐Bornez, Miguel, Voight, Benjamin F., Morrison, Alanna C., Damrauer, Scott M., de Vries, Paul S., Smith, Nicholas L., Sabater‐Lleal, Maria, Dehghan, Abbas, Heath, Adam S, Morrison, Alanna C, Reiner, Alex P, Johnson, Andrew, Richmond, Anne, Peters, Annette, van Hylckama Vlieg, Astrid, McKnight, Barbara, Psaty, Bruce M, Hayward, Caroline, Ward‐Caviness, Cavin, O’Donnell, Christopher, Chasman, Daniel, Strachan, David P, Tregouet, David A, Mook‐Kanamori, Dennis, Gill, Dipender, Thibord, Florian, Asselbergs, Folkert W, Leebeek, Frank W.G., Rosendaal, Frits R, Davies, Gail, Homuth, Georg, Temprano, Gerard, Campbell, Harry, Taylor, Herman A, Bressler, Jan, Huffman, Jennifer E, Rotter, Jerome I, Yao, Jie, Wilson, James F, Bis, Joshua C, Hahn, Julie M, Desch, Karl C, Wiggins, Kerri L, Raffield, Laura M, Bielak, Lawrence F, Yanek, Lisa R, Kleber, Marcus E, Mueller, Martina, Kavousi, Maryam, Mangino, Massimo, Liu, Melissa, Brown, Michael R, Conomos, Matthew P, Jhun, Min‐A, Chen, Ming‐Huei, de Maat, Moniek P.M., Pankratz, Nathan, Smith, Nicholas L, Peyser, Patricia A, Elliot, Paul, de Vries, Paul S, Wei, Peng, Wild, Philipp S, Morange, Pierre E, van der Harst, Pim, Yang, Qiong, Le, Ngoc‐Quynh, Marioni, Riccardo, Li, Ruifang, Damrauer, Scott M, Cox, Simon R, Trompet, Stella, Felix, Stephan B, Völker, Uwe, Tang, Weihong, Koenig, Wolfgang, Jukema, J. Wouter, Guo, Xiuqing, Lindstrom, Sara, Wang, Lu, Smith, Erin N, Gordon, William, de Andrade, Mariza, Brody, Jennifer A, Pattee, Jack W, Haessler, Jeffrey, Brumpton, Ben M, Chasman, Daniel I, Suchon, Pierre, Turman, Constance, Germain, Marine, MacDonald, James, Braekkan, Sigrid K, Armasu, Sebastian M, Jackson, Rabecca D, Nielsen, Jonas B, Giulianini, Franco, Puurunen, Marja K, Ibrahim, Manal, Heckbert, Susan R, Bammler, Theo K, Frazer, Kelly A, McCauley, Bryan M, Taylor, Kent, Pankow, James S, Reiner, Alexander P, Gabrielsen, Maiken E, Deleuze, Jean‐François, O’Donnell, Chris J, Kim, Jihye, Kraft, Peter, Hansen, John‐Bjarne, Heit, John A, Kooperberg, Charles, Hveem, Kristian, Ridker, Paul M, Morange, Pierre‐Emmanuel, Johnson, Andrew D, Kabrhel, Christopher, Trégouët, David‐Alexandre, Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten‐Jacobs, Loes, Giese, Anne‐Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chen, Wei‐Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, den Hoed, Marcel, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Holliday, Elizabeth G, Howard, George, Hsu, Fang‐Chi, Hyacinth, Hyacinth I, Arfan Ikram, M, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez‐Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin‐Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei‐Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O’Donnell, Martin J, Pulit, Sara L, Rannikmäe, Kristiina, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Rost, Natalia S, Rothwell, Peter M, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie LM, Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D, Thijs, Vincent NS, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Wassertheil‐Smoller, Sylvia, Wilson, James G, Yusuf, Salim, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu‐Ching, Hoan Choi, Seung, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean‐François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Mei Liu, Yong, Lopez, Oscar L, Makoto, Hirata, Martinez‐Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller‐Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Reddy Peddareddygari, Leema, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba‐Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti‐Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano‐Tárraga, Carolina, Stanne, Tara, Colin Stine, O, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres‐Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles DA, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez‐Cadenas, Israel, Longstreth, W T, Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S, Howson, Joanna MM, Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
Published: 2022
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23. Correction: Cerebrospinal fluid tau levels are associated with abnormal neuronal plasticity markers in Alzheimer’s disease

Author: Visser, Pieter Jelle, Reus, Lianne M., Gobom, Johan, Jansen, Iris, Dicks, Ellen, van der Lee, Sven J., Tsolaki, Magda, Verhey, Frans R. J., Popp, Julius, Martinez-Lage, Pablo, Vandenberghe, Rik, Lleó, Alberto, Molinuevo, José Luís, Engelborghs, Sebastiaan, Freund-Levi, Yvonne, Froelich, Lutz, Sleegers, Kristel, Dobricic, Valerija, Lovestone, Simon, Streffer, Johannes, Vos, Stephanie J. B., Bos, Isabelle, Smit, August B., Blennow, Kaj, Scheltens, Philip, Teunissen, Charlotte E., Bertram, Lars, Zetterberg, Henrik, and Tijms, Betty M.
Published: 2022
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24. Correction: Association of low-frequency and rare coding variants with information processing speed

Author: Bressler, Jan, Davies, Gail, Smith, Albert V., Saba, Yasaman, Bis, Joshua C., Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A., Mirza, Saira S., Wang, Ruiqi, Adams, Hieab H. H., Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R., Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F., Grove, Megan L., Guo, Xiuqing, Hofer, Edith, Kardia, Sharon L. R., Knol, Maria J., Koini, Marisa, Lopez, Oscar L., Marioni, Riccardo E., Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J., Rudan, Igor, Satizabal, Claudia L., Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H., Turner, Stephen T., van der Lee, Sven J., Ware, Erin B., Whitmer, Rachel A., Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J., Fitzpatrick, Annette L., Psaty, Bruce M., Fornage, Myriam, Arfan Ikram, M., van Duijn, Cornelia M., Seshadri, Sudha, Mosley, Thomas H., and Deary, Ian J.
Published: 2022
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25. Cerebrospinal fluid tau levels are associated with abnormal neuronal plasticity markers in Alzheimer’s disease

Author: Visser, Pieter Jelle, Reus, Lianne M., Gobom, Johan, Jansen, Iris, Dicks, Ellen, van der Lee, Sven J., Tsolaki, Magda, Verhey, Frans R. J., Popp, Julius, Martinez-Lage, Pablo, Vandenberghe, Rik, Lleó, Alberto, Molinuevo, José Luís, Engelborghs, Sebastiaan, Freund-Levi, Yvonne, Froelich, Lutz, Sleegers, Kristel, Dobricic, Valerija, Lovestone, Simon, Streffer, Johannes, Vos, Stephanie J. B., Bos, Isabelle, Smit, August B., Blennow, Kaj, Scheltens, Philip, Teunissen, Charlotte E., Bertram, Lars, Zetterberg, Henrik, and Tijms, Betty M.
Published: 2022
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26. Letter to the editor on a paper by Kaivola et al. (2020): carriership of two copies of C9orf72 hexanucleotide repeat intermediate-length alleles is not associated with amyotrophic lateral sclerosis or frontotemporal dementia

Author: de Boer, Sterre C. M., Woolley, Lauren, Mol, Merel O., Serpente, Maria, Reus, Lianne M., van Minkelen, Rick, van Vugt, Joke F. A., Sorrentino, Federica, Veldink, Jan H., Seelaar, Harro, Galimberti, Daniela, van Ruissen, Fred, Mead, Simon, Rogaeva, Ekaterina, Pijnenburg, Yolande A. L., and van der Lee, Sven J.
Published: 2022
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27. Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families

Author: Mol, Merel O., van der Lee, Sven J., Hulsman, Marc, Pijnenburg, Yolande A. L., Scheltens, Phillip, Seelaar, Harro, van Swieten, John C., Kaat, Laura Donker, Holstege, Henne, and van Rooij, Jeroen G. J.
Published: 2022
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28. Amyloid-β and APOE genotype predict memory decline in cognitively unimpaired older individuals independently of Alzheimer’s disease polygenic risk score

Author: Tomassen, Jori, den Braber, Anouk, van der Lee, Sven J., Reus, Lianne M., Konijnenberg, Elles, Carter, Stephen F., Yaqub, Maqsood, van Berckel, Bart N.M., Collij, Lyduine E., Boomsma, Dorret I., de Geus, Eco J.C., Scheltens, Philip, Herholz, Karl, Tijms, Betty M., and Visser, Pieter Jelle
Published: 2022
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29. Blood-based metabolic signatures in Alzheimer's disease

Author: de Leeuw, Francisca A., Peeters, Carel F. W., Kester, Maartje I., Harms, Amy C., Struys, Eduard A., Hankemeier, Thomas, van Vlijmen, Herman W. T., van der Lee, Sven J., van Duijn, Cornelia M., Scheltens, Philip, Demirkan, Ayşe, van de Wiel, Mark A., van der Flier, Wiesje M., and Teunissen, Charlotte E.
Subjects: Quantitative Biology - Neurons and Cognition, Quantitative Biology - Molecular Networks, Statistics - Applications
Abstract: Introduction: Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers. Methods: We included 127 AD patients and 121 controls with CSF-biomarker-confirmed diagnosis (cut-off tau/A$\beta_{42}$: 0.52). Mass spectrometry platforms determined the concentrations of 53 amine, 22 organic acid, 120 lipid, and 40 oxidative stress compounds. Multiple signatures were assessed: differential expression (nested linear models), classification (logistic regression), and regulatory (network extraction). Results: Twenty-six metabolites were differentially expressed. Metabolites improved the classification performance of clinical variables from 74% to 79%. Network models identified 5 hubs of metabolic dysregulation: Tyrosine, glycylglycine, glutamine, lysophosphatic acid C18:2 and platelet activating factor C16:0. The metabolite network for APOE $\epsilon$4 negative AD patients was less cohesive compared to the network for APOE $\epsilon$4 positive AD patients. Discussion: Multiple signatures point to various promising peripheral markers for further validation. The network differences in AD patients according to APOE genotype may reflect different pathways to AD., Comment: Postprint, 76 pages, 32 figures, includes supplementary material
Published: 2017
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30. Genome wide association study of clinical duration and age at onset of sporadic CJD.

Author: Hummerich, Holger, Speedy, Helen, Campbell, Tracy, Darwent, Lee, Hill, Elizabeth, Collins, Steven, Stehmann, Christiane, Kovacs, Gabor G., Geschwind, Michael D., Frontzek, Karl, Budka, Herbert, Gelpi, Ellen, Aguzzi, Adriano, van der Lee, Sven J., van Duijn, Cornelia M., Liberski, Pawel P., Calero, Miguel, Sanchez-Juan, Pascual, Bouaziz-Amar, Elodie, and Laplanche, Jean-Louis
Subjects: GENOME-wide association studies, AGE of onset, DISEASE risk factors, GENETIC correlations, CREUTZFELDT-Jakob disease, NUCLEOTIDE sequencing
Abstract: Human prion diseases are rare, transmissible and often rapidly progressive dementias. The most common type, sporadic Creutzfeldt-Jakob disease (sCJD), is highly variable in clinical duration and age at onset. Genetic determinants of late onset or slower progression might suggest new targets for research and therapeutics. We assembled and array genotyped sCJD cases diagnosed in life or at autopsy. Clinical duration (median:4, interquartile range (IQR):2.5–9 (months)) was available in 3,773 and age at onset (median:67, IQR:61–73 (years)) in 3,767 cases. Phenotypes were successfully transformed to approximate normal distributions allowing genome-wide analysis without statistical inflation. 53 SNPs achieved genome-wide significance for the clinical duration phenotype; all of which were located at chromosome 20 (top SNP rs1799990, pvalue = 3.45x10-36, beta = 0.34 for an additive model; rs1799990, pvalue = 9.92x10-67, beta = 0.84 for a heterozygous model). Fine mapping, conditional and expression analysis suggests that the well-known non-synonymous variant at codon 129 is the obvious outstanding genome-wide determinant of clinical duration. Pathway analysis and suggestive loci are described. No genome-wide significant SNP determinants of age at onset were found, but the HS6ST3 gene was significant (pvalue = 1.93 x 10−6) in a gene-based test. We found no evidence of genome-wide genetic correlation between case-control (disease risk factors) and case-only (determinants of phenotypes) studies. Relative to other common genetic variants, PRNP codon 129 is by far the outstanding modifier of CJD survival suggesting only modest or rare variant effects at other genetic loci. [ABSTRACT FROM AUTHOR]
Published: 2024
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31. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.

Author: Vojinovic, Dina, Adams, Hieab H, Jian, Xueqiu, Yang, Qiong, Smith, Albert Vernon, Bis, Joshua C, Teumer, Alexander, Scholz, Markus, Armstrong, Nicola J, Hofer, Edith, Saba, Yasaman, Luciano, Michelle, Bernard, Manon, Trompet, Stella, Yang, Jingyun, Gillespie, Nathan A, van der Lee, Sven J, Neumann, Alexander, Ahmad, Shahzad, Andreassen, Ole A, Ames, David, Amin, Najaf, Arfanakis, Konstantinos, Bastin, Mark E, Becker, Diane M, Beiser, Alexa S, Beyer, Frauke, Brodaty, Henry, Bryan, R Nick, Bülow, Robin, Dale, Anders M, De Jager, Philip L, Deary, Ian J, DeCarli, Charles, Fleischman, Debra A, Gottesman, Rebecca F, van der Grond, Jeroen, Gudnason, Vilmundur, Harris, Tamara B, Homuth, Georg, Knopman, David S, Kwok, John B, Lewis, Cora E, Li, Shuo, Loeffler, Markus, Lopez, Oscar L, Maillard, Pauline, El Marroun, Hanan, Mather, Karen A, Mosley, Thomas H, Muetzel, Ryan L, Nauck, Matthias, Nyquist, Paul A, Panizzon, Matthew S, Pausova, Zdenka, Psaty, Bruce M, Rice, Ken, Rotter, Jerome I, Royle, Natalie, Satizabal, Claudia L, Schmidt, Reinhold, Schofield, Peter R, Schreiner, Pamela J, Sidney, Stephen, Stott, David J, Thalamuthu, Anbupalam, Uitterlinden, Andre G, Valdés Hernández, Maria C, Vernooij, Meike W, Wen, Wei, White, Tonya, Witte, A Veronica, Wittfeld, Katharina, Wright, Margaret J, Yanek, Lisa R, Tiemeier, Henning, Kremen, William S, Bennett, David A, Jukema, J Wouter, Paus, Tomas, Wardlaw, Joanna M, Schmidt, Helena, Sachdev, Perminder S, Villringer, Arno, Grabe, Hans Jörgen, Longstreth, WT, van Duijn, Cornelia M, Launer, Lenore J, Seshadri, Sudha, Ikram, M Arfan, and Fornage, Myriam
Subjects: Lateral Ventricles, Humans, Organ Size, Genome, Human, Aged, Middle Aged, Genome-Wide Association Study, Human Genome, Aging, Genetics, 2.1 Biological and endogenous factors, Neurological
Abstract: The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρgenetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.
Published: 2018

32. 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, Mental Illness, Brain Disorders, Clinical Research, Human Genome, Neurosciences, Mental Health, 2.1 Biological and endogenous factors, Mental health, Neurological, 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

33. 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

34. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author: Davies, Gail, Lam, Max, Harris, Sarah E, Trampush, Joey W, Luciano, Michelle, Hill, W David, Hagenaars, Saskia P, Ritchie, Stuart J, Marioni, Riccardo E, Fawns-Ritchie, Chloe, Liewald, David CM, Okely, Judith A, Ahola-Olli, Ari V, Barnes, Catriona LK, Bertram, Lars, Bis, Joshua C, Burdick, Katherine E, Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E, Hayward, Caroline, Hofer, Edith, Ikram, M Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A, Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A, Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A, Smith, Albert V, Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J, Ware, Erin B, Windham, B Gwen, Wright, Margaret J, Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A, Armstrong, Nicola J, Assareh, Amelia A, Attia, John R, Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A, Böhmer, Anne C, Boyle, Patricia A, Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D, Cirulli, Elizabeth T, Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R, Dale, Anders M, Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G, Evangelou, Evangelos, Faul, Jessica D, Ford, Ian, Freimer, Nelson A, Gao, He, Giegling, Ina, Gillespie, Nathan A, Gordon, Scott D, Gottesman, Rebecca F, Griswold, Michael E, Gudnason, Vilmundur, Harris, Tamara B, Hartmann, Annette M, Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G, Joshi, Peter K, Kähönen, Mika, Kardia, Sharon LR, Karlsson, Ida, and Kleineidam, Luca
Subjects: Humans, Neurodegenerative Diseases, Genetic Predisposition to Disease, Cognition, Reaction Time, Mental Disorders, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Young Adult, Genetic Loci, Neurodevelopmental Disorders, Prevention, Behavioral and Social Science, Mental Health, Neurosciences, Biotechnology, Genetics, Human Genome, Neurological, Mental health
Abstract: General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P
Published: 2018

35. Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease.

Author: Peloso, Gina M, van der Lee, Sven J, International Genomics of Alzheimer's Project (IGAP), Destefano, Anita L, and Seshardi, Sudha
Subjects: International Genomics of Alzheimer's Project, Cholesteryl ester transfer protein, Genetics, HDL-C, Instrumental variables, Single nucleotide polymorphisms, Neurosciences
Abstract: IntroductionThere is conflicting evidence whether high-density lipoprotein cholesterol (HDL-C) is a risk factor for Alzheimer's disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein (CETP) locus is associated with altered HDL-C. We aimed to assess AD risk by genetically predicted HDL-C.MethodsTen single nucleotide polymorphisms within the CETP locus predicting HDL-C were applied to the International Genomics of Alzheimer's Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR-Egger.ResultsBased on 10 single nucleotide polymorphisms distinctly predicting HDL-C in the CETP locus, we found that HDL-C was not associated with risk of AD (P > .7).DiscussionOur study does not support the role of HDL-C on risk of AD through HDL-C altered by CETP. This study does not rule out other mechanisms by which HDL-C affects risk of AD.
Published: 2018

36. BDNF-Met polymorphism and amyloid-beta in relation to cognitive decline in cognitively normal elderly: the SCIENCe project

Author: van den Bosch, Karlijn A., Verberk, Inge M.W., Ebenau, Jarith L., van der Lee, Sven J., Jansen, Iris E., Prins, Niels D., Scheltens, Philip, Teunissen, Charlotte E., and Van der Flier, Wiesje M.
Published: 2021
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37. Characterising tandem repeat complexities across long-read sequencing platforms with TREAT

Author: Tesi, Niccolo, primary, Salazar, Alex, additional, Zhang, Yaran, additional, van der Lee, Sven, additional, Hulsman, Marc, additional, Knoop, Lydian, additional, Wijesekera, Sanduni, additional, Krizova, Jana, additional, Schneider, Anne-Fleur, additional, Pennings, Maartje, additional, Sleegers, Kristel, additional, Kamsteeg, Erik-Jan, additional, Reinders, Marcel, additional, and Holstege, Henne, additional
Published: 2024
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38. MotifScope: a multi-sample motif discovery and visualization tool for tandem repeats

Author: Zhang, Yaran, primary, Hulsman, Marc, additional, Salazar, Alex, additional, Tesi, Niccolo, additional, Knoop, Lydian, additional, van der Lee, Sven, additional, Wijesekera, Sanduni, additional, Krizova, Jana, additional, Kamsteeg, Erik-Jan, additional, and Holstege, Henne, additional
Published: 2024
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39. Metabolic network failures in Alzheimer's disease: A biochemical road map

Author: Toledo, Jon B, Arnold, Matthias, Kastenmüller, Gabi, Chang, Rui, Baillie, Rebecca A, Han, Xianlin, Thambisetty, Madhav, Tenenbaum, Jessica D, Suhre, Karsten, Thompson, J Will, St. John‐Williams, Lisa, MahmoudianDehkordi, Siamak, Rotroff, Daniel M, Jack, John R, Motsinger‐Reif, Alison, Risacher, Shannon L, Blach, Colette, Lucas, Joseph E, Massaro, Tyler, Louie, Gregory, Zhu, Hongjie, Dallmann, Guido, Klavins, Kristaps, Koal, Therese, Kim, Sungeun, Nho, Kwangsik, Shen, Li, Casanova, Ramon, Varma, Sudhir, Legido‐Quigley, Cristina, Moseley, M Arthur, Zhu, Kuixi, Henrion, Marc YR, van der Lee, Sven J, Harms, Amy C, Demirkan, Ayse, Hankemeier, Thomas, van Duijn, Cornelia M, Trojanowski, John Q, Shaw, Leslie M, Saykin, Andrew J, Weiner, Michael W, Doraiswamy, P Murali, and Kaddurah‐Daouk, Rima
Subjects: Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Clinical Research, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Alzheimer's Disease, Acquired Cognitive Impairment, Aging, Dementia, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Amino Acids, Amyloid beta-Peptides, Aniline Compounds, Cognitive Dysfunction, Cohort Studies, Cross-Sectional Studies, Fasting, Female, Humans, Male, Metabolic Diseases, Metabolic Networks and Pathways, Metabolomics, Peptide Fragments, Phosphatidylcholines, Sphingomyelins, Thiazoles, tau Proteins, Metabonomics, Pharmacometabolomics, Pharmacometabonomics, Biomarkers, Serum, Metabolism, Systems biology, Biochemical networks, Precision medicine, Alzheimer's disease, Branched-chain amino acids, Phospholipids, Acylcarnitines, Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Clinical Sciences, Geriatrics, Clinical sciences, Biological psychology
Abstract: IntroductionThe Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our understanding of Alzheimer's disease (AD) and propel the development of critically needed therapies. In response to their recommendations, big data at multiple levels are being generated and integrated to study network failures in disease. We used metabolomics as a global biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance.MethodsFasting serum samples from the Alzheimer's Disease Neuroimaging Initiative (199 control, 356 mild cognitive impairment, and 175 AD participants) were analyzed using the AbsoluteIDQ-p180 kit. Performance was validated in blinded replicates, and values were medication adjusted.ResultsMultivariable-adjusted analyses showed that sphingomyelins and ether-containing phosphatidylcholines were altered in preclinical biomarker-defined AD stages, whereas acylcarnitines and several amines, including the branched-chain amino acid valine and α-aminoadipic acid, changed in symptomatic stages. Several of the analytes showed consistent associations in the Rotterdam, Erasmus Rucphen Family, and Indiana Memory and Aging Studies. Partial correlation networks constructed for Aβ1-42, tau, imaging, and cognitive changes provided initial biochemical insights for disease-related processes. Coexpression networks interconnected key metabolic effectors of disease.DiscussionMetabolomics identified key disease-related metabolic changes and disease-progression-related changes. Defining metabolic changes during AD disease trajectory and its relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery.
Published: 2017

40. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease.

Author: Sims, Rebecca, van der Lee, Sven J, Naj, Adam C, Bellenguez, Céline, Badarinarayan, Nandini, Jakobsdottir, Johanna, Kunkle, Brian W, Boland, Anne, Raybould, Rachel, Bis, Joshua C, Martin, Eden R, Grenier-Boley, Benjamin, Heilmann-Heimbach, Stefanie, Chouraki, Vincent, Kuzma, Amanda B, Sleegers, Kristel, Vronskaya, Maria, Ruiz, Agustin, Graham, Robert R, Olaso, Robert, Hoffmann, Per, Grove, Megan L, Vardarajan, Badri N, Hiltunen, Mikko, Nöthen, Markus M, White, Charles C, Hamilton-Nelson, Kara L, Epelbaum, Jacques, Maier, Wolfgang, Choi, Seung-Hoan, Beecham, Gary W, Dulary, Cécile, Herms, Stefan, Smith, Albert V, Funk, Cory C, Derbois, Céline, Forstner, Andreas J, Ahmad, Shahzad, Li, Hongdong, Bacq, Delphine, Harold, Denise, Satizabal, Claudia L, Valladares, Otto, Squassina, Alessio, Thomas, Rhodri, Brody, Jennifer A, Qu, Liming, Sánchez-Juan, Pascual, Morgan, Taniesha, Wolters, Frank J, Zhao, Yi, Garcia, Florentino Sanchez, Denning, Nicola, Fornage, Myriam, Malamon, John, Naranjo, Maria Candida Deniz, Majounie, Elisa, Mosley, Thomas H, Dombroski, Beth, Wallon, David, Lupton, Michelle K, Dupuis, Josée, Whitehead, Patrice, Fratiglioni, Laura, Medway, Christopher, Jian, Xueqiu, Mukherjee, Shubhabrata, Keller, Lina, Brown, Kristelle, Lin, Honghuang, Cantwell, Laura B, Panza, Francesco, McGuinness, Bernadette, Moreno-Grau, Sonia, Burgess, Jeremy D, Solfrizzi, Vincenzo, Proitsi, Petra, Adams, Hieab H, Allen, Mariet, Seripa, Davide, Pastor, Pau, Cupples, L Adrienne, Price, Nathan D, Hannequin, Didier, Frank-García, Ana, Levy, Daniel, Chakrabarty, Paramita, Caffarra, Paolo, Giegling, Ina, Beiser, Alexa S, Giedraitis, Vilmantas, Hampel, Harald, Garcia, Melissa E, Wang, Xue, Lannfelt, Lars, Mecocci, Patrizia, Eiriksdottir, Gudny, Crane, Paul K, Pasquier, Florence, and Boccardi, Virginia
Subjects: ARUK Consortium, GERAD/PERADES, CHARGE, ADGC, EADI, Microglia, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Adaptor Proteins, Signal Transducing, Membrane Glycoproteins, Receptors, Immunologic, Odds Ratio, Case-Control Studies, Gene Expression Profiling, Amino Acid Sequence, Sequence Homology, Amino Acid, Gene Frequency, Genotype, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Phospholipase C gamma, Immunity, Innate, Protein Interaction Maps, Exome, Neurodegenerative, Brain Disorders, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Alzheimer's Disease, Aging, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract: We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.
Published: 2017

41. Novel genetic loci underlying human intracranial volume identified through genome-wide association

Author: Adams, Hieab HH, Hibar, Derrek P, Chouraki, Vincent, Stein, Jason L, Nyquist, Paul A, Rentería, Miguel E, Trompet, Stella, Arias-Vasquez, Alejandro, Seshadri, Sudha, Desrivières, Sylvane, Beecham, Ashley H, Jahanshad, Neda, Wittfeld, Katharina, Van der Lee, Sven J, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beiser, Alexa, Bernard, Manon, Bis, Joshua C, Blanken, Laura ME, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chauhan, Ganesh, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, Braber, Anouk Den, Doan, Nhat Trung, Ehrlich, Stefan, Filippi, Irina, Ge, Tian, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Greven, Corina U, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Hass, Johanna, Haukvik, Unn K, Hilal, Saima, Hofer, Edith, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liao, Jiemin, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, Mazoyer, Bernard, McKay, David R, McWhirter, Rebekah, Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Muetzel, Ryan L, Maniega, Susana Muñoz, Nho, Kwangsik, Nugent, Allison C, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pappa, Irene, Pirpamer, Lukas, Pudas, Sara, Pütz, Benno, Rajan, Kumar B, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, and Satizabal, Claudia L
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Clinical Research, Brain Disorders, Clinical Trials and Supportive Activities, Aging, Biotechnology, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Brain, Cognition, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Oncogene Protein v-akt, Parkinson Disease, Phenotype, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, White People, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
Published: 2016

42. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease.

Author: Jakobsdottir, Johanna, van der Lee, Sven J, Bis, Joshua C, Chouraki, Vincent, Li-Kroeger, David, Yamamoto, Shinya, Grove, Megan L, Naj, Adam, Vronskaya, Maria, Salazar, Jose L, DeStefano, Anita L, Brody, Jennifer A, Smith, Albert V, Amin, Najaf, Sims, Rebecca, Ibrahim-Verbaas, Carla A, Choi, Seung-Hoan, Satizabal, Claudia L, Lopez, Oscar L, Beiser, Alexa, Ikram, M Arfan, Garcia, Melissa E, Hayward, Caroline, Varga, Tibor V, Ripatti, Samuli, Franks, Paul W, Hallmans, Göran, Rolandsson, Olov, Jansson, Jan-Håkon, Porteous, David J, Salomaa, Veikko, Eiriksdottir, Gudny, Rice, Kenneth M, Bellen, Hugo J, Levy, Daniel, Uitterlinden, Andre G, Emilsson, Valur, Rotter, Jerome I, Aspelund, Thor, Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, O'Donnell, Christopher J, Fitzpatrick, Annette L, Launer, Lenore J, Hofman, Albert, Wang, Li-San, Williams, Julie, Schellenberg, Gerard D, Boerwinkle, Eric, Psaty, Bruce M, Seshadri, Sudha, Shulman, Joshua M, Gudnason, Vilmundur, and van Duijn, Cornelia M
Subjects: Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, Animals, Humans, Drosophila melanogaster, Alzheimer Disease, Intracellular Signaling Peptides and Proteins, Amyloid beta-Protein Precursor, Apolipoproteins E, Tropomyosin, Drosophila Proteins, Membrane Proteins, Genomics, Age of Onset, Phenotype, Mutation, Alleles, Aged, European Continental Ancestry Group, Iceland, Female, Male, Receptors, Notch, Genome-Wide Association Study, Exome, Receptors, Notch, Genetics, Developmental Biology
Abstract: We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus
Published: 2016

43. Identification of novel risk loci and causal insights for sporadic Creutzfeldt-Jakob disease: a genome-wide association study

Author: Jones, Emma, Hummerich, Holger, Viré, Emmanuelle, Uphill, James, Dimitriadis, Athanasios, Speedy, Helen, Campbell, Tracy, Norsworthy, Penny, Quinn, Liam, Whitfield, Jerome, Linehan, Jacqueline, Jaunmuktane, Zane, Brandner, Sebastian, Jat, Parmjit, Nihat, Akin, How Mok, Tze, Ahmed, Parvin, Collins, Steven, Stehmann, Christiane, Sarros, Shannon, Kovacs, Gabor G, Geschwind, Michael D, Golubjatnikov, Aili, Frontzek, Karl, Budka, Herbert, Aguzzi, Adriano, Karamujić-Čomić, Hata, van der Lee, Sven J, Ibrahim-Verbaas, Carla A, van Duijn, Cornelia M, Sikorska, Beata, Golanska, Ewa, Liberski, Pawel P, Calero, Miguel, Calero, Olga, Sanchez-Juan, Pascual, Salas, Antonio, Martinón-Torres, Federico, Bouaziz-Amar, Elodie, Haïk, Stéphane, Laplanche, Jean-Louis, Brandel, Jean-Phillipe, Amouyel, Phillipe, Lambert, Jean-Charles, Parchi, Piero, Bartoletti-Stella, Anna, Capellari, Sabina, Poleggi, Anna, Ladogana, Anna, Pocchiari, Maurizio, Aneli, Serena, Matullo, Giuseppe, Knight, Richard, Zafar, Saima, Zerr, Inga, Booth, Stephanie, Coulthart, Michael B, Jansen, Gerard H, Glisic, Katie, Blevins, Janis, Gambetti, Pierluigi, Safar, Jiri, Appleby, Brian, Collinge, John, and Mead, Simon
Published: 2020
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44. Dementia in Rare Genetic Neurodevelopmental Disorders: A Systematic Literature Review.

Author: Kwetsie, Hadassa, van Schaijk, Malu, Van Der Lee, Sven, Maes-Festen, Dederieke, Ten Hoopen, Leontine W., van Haelst, Mieke M., Coesmans, Michael, Van Den Berg, Esther, De Wit, Marie Claire Y., Pijnenburg, Yolande, Aronica, Eleonora, Boot, Erik, and Van Eeghen, Agnies M.
Published: 2024
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45. Cognitively healthy centenarians are genetically protected against Alzheimer's disease.

Author: Tesi, Niccolo', van der Lee, Sven, Hulsman, Marc, van Schoor, Natasja M., Huisman, Martijn, Pijnenburg, Yolande, van der Flier, Wiesje M., Reinders, Marcel, and Holstege, Henne
Abstract: BACKGROUND: Alzheimer's disease (AD) prevalence increases with age, yet a small fraction of the population reaches ages > 100 years without cognitive decline. We studied the genetic factors associated with such resilience against AD. METHODS: Genome‐wide association studies identified 86 single nucleotide polymorphisms (SNPs) associated with AD risk. We estimated SNP frequency in 2281 AD cases, 3165 age‐matched controls, and 346 cognitively healthy centenarians. We calculated a polygenic risk score (PRS) for each individual and investigated the functional properties of SNPs enriched/depleted in centenarians. RESULTS: Cognitively healthy centenarians were enriched with the protective alleles of the SNPs associated with AD risk. The protective effect concentrated on the alleles in/near ANKH, GRN, TMEM106B, SORT1, PLCG2, RIN3, and APOE genes. This translated to >5‐fold lower PRS in centenarians compared to AD cases (P = 7.69 × 10−71), and 2‐fold lower compared to age‐matched controls (P = 5.83 × 10−17). DISCUSSION: Maintaining cognitive health until extreme ages requires complex genetic protection against AD, which concentrates on the genes associated with the endolysosomal and immune systems. Highlights: Cognitively healthy cent enarians are enriched with the protective alleles of genetic variants associated with Alzheimer's disease (AD).The protective effect is concentrated on variants involved in the immune and endolysosomal systems.Combining variants into a polygenic risk score (PRS) translated to > 5‐fold lower PRS in centenarians compared to AD cases, and ≈ 2‐fold lower compared to middle‐aged healthy controls. [ABSTRACT FROM AUTHOR]
Published: 2024
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46. Genetic Liability for Depression, Social Factors and Their Interaction Effect in Depressive Symptoms and Depression Over Time in Older Adults

Author: Stringa, Najada, Milaneschi, Yuri, van Schoor, Natasja M., Suanet, Bianca, van der Lee, Sven, Holstege, Henne, Reinders, Marcel J.T., Beekman, Aartjan T.F., and Huisman, Martijn
Published: 2020
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47. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease

Author: Scott, Robert A, Freitag, Daniel F, Li, Li, Chu, Audrey Y, Surendran, Praveen, Young, Robin, Grarup, Niels, Stancáková, Alena, Chen, Yuning, Varga, Tibor V, Yaghootkar, Hanieh, Luan, Jian’an, Zhao, Jing Hua, Willems, Sara M, Wessel, Jennifer, Wang, Shuai, Maruthur, Nisa, Michailidou, Kyriaki, Pirie, Ailith, van der Lee, Sven J, Gillson, Christopher, Al Olama, Ali Amin, Amouyel, Philippe, Arriola, Larraitz, Arveiler, Dominique, Aviles-Olmos, Iciar, Balkau, Beverley, Barricarte, Aurelio, Barroso, Inês, Garcia, Sara Benlloch, Bis, Joshua C, Blankenberg, Stefan, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Borecki, Ingrid B, Bork-Jensen, Jette, Bowden, Sarah, Caldas, Carlos, Caslake, Muriel, consortium, The CVD50, Cupples, L Adrienne, Cruchaga, Carlos, Czajkowski, Jacek, Hoed, Marcel den, Dunn, Janet A, Earl, Helena M, Ehret, Georg B, Ferrannini, Ele, Ferrieres, Jean, Foltynie, Thomas, Ford, Ian, Forouhi, Nita G, Gianfagna, Francesco, Gonzalez, Carlos, Grioni, Sara, Hiller, Louise, Jansson, Jan-Håkan, Jørgensen, Marit E, Jukema, J Wouter, Kaaks, Rudolf, Kee, Frank, Kerrison, Nicola D, Key, Timothy J, Kontto, Jukka, Kote-Jarai, Zsofia, Kraja, Aldi T, Kuulasmaa, Kari, Kuusisto, Johanna, Linneberg, Allan, Liu, Chunyu, Marenne, Gaëlle, Mohlke, Karen L, Morris, Andrew P, Muir, Kenneth, Müller-Nurasyid, Martina, Munroe, Patricia B, Navarro, Carmen, Nielsen, Sune F, Nilsson, Peter M, Nordestgaard, Børge G, Packard, Chris J, Palli, Domenico, Panico, Salvatore, Peloso, Gina M, Perola, Markus, Peters, Annette, Poole, Christopher J, Quirós, J Ramón, Rolandsson, Olov, Sacerdote, Carlotta, Salomaa, Veikko, Sánchez, María-José, Sattar, Naveed, Sharp, Stephen J, Sims, Rebecca, Slimani, Nadia, Smith, Jennifer A, Thompson, Deborah J, and Trompet, Stella
Subjects: Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Clinical Research, Diabetes, Human Genome, Cardiovascular, Prevention, Obesity, Genetics, Heart Disease, Heart Disease - Coronary Heart Disease, Clinical Trials and Supportive Activities, Aetiology, Development of treatments and therapeutic interventions, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Alleles, Coronary Disease, Diabetes Mellitus, Type 2, Dipeptidyl Peptidase 4, Genotype, Glucagon-Like Peptide-1 Receptor, Humans, Receptor, Cannabinoid, CB2, Receptor, Serotonin, 5-HT2C, Receptors, Somatostatin, Sodium-Glucose Transporter 1, CVD50 consortium, GERAD_EC Consortium, Neurology Working Group of the Cohorts for Heart, Aging Research in Genomic Epidemiology, Alzheimer’s Disease Genetics Consortium, Pancreatic Cancer Cohort Consortium, European Prospective Investigation into Cancer and Nutrition–Cardiovascular Disease, EPIC-InterAct, CHARGE consortium, CHD Exome+ Consortium, CARDIOGRAM Exome Consortium, Biological Sciences, Medical and Health Sciences, Medical biotechnology, Biomedical engineering
Abstract: Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11,806 individuals by targeted exome sequencing and follow-up in 39,979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.
Published: 2016

48. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author: Okbay, Aysu, Baselmans, Bart ML, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Taylor, Kent, Thorleifsson, Gudmar, Wedenoja, Juho, Wellmann, Juergen, Westra, Harm-Jan, Willems, Sara M, Zhao, Wei, Amin, Najaf, Bakshi, Andrew, Bergmann, Sven, Bjornsdottir, Gyda, Boyle, Patricia A, Cherney, Samantha, Cox, Simon R, Davies, Gail, Davis, Oliver SP, Ding, Jun, Direk, Nese, Eibich, Peter, Emeny, Rebecca T, Fatemifar, Ghazaleh, Faul, Jessica D, Ferrucci, Luigi, Forstner, Andreas J, Gieger, Christian, Gupta, Richa, Harris, Tamara B, Harris, Juliette M, Holliday, Elizabeth G, Hottenga, Jouke-Jan, De Jager, Philip L, Kaakinen, Marika A, Kajantie, Eero, Karhunen, Ville, Kolcic, Ivana, Kumari, Meena, Launer, Lenore J, Franke, Lude, Li-Gao, Ruifang, Liewald, David C, Koini, Marisa, Loukola, Anu, Marques-Vidal, Pedro, Montgomery, Grant W, Mosing, Miriam A, Paternoster, Lavinia, Pattie, Alison, Petrovic, Katja E, Pulkki-Råback, Laura, Quaye, Lydia, Räikkönen, Katri, Rudan, Igor, and Scott, Rodney J
Subjects: Biological Sciences, Genetics, Mental Health, Human Genome, Depression, Anxiety Disorders, Bayes Theorem, Genome-Wide Association Study, Humans, Neuroticism, Phenotype, Polymorphism, Single Nucleotide, LifeLines Cohort Study, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.
Published: 2016

49. Genome-wide association study identifies 74 loci associated with educational attainment.

Author: Okbay, Aysu, Beauchamp, Jonathan P, Fontana, Mark Alan, Lee, James J, Pers, Tune H, Rietveld, Cornelius A, Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Meddens, S Fleur W, Oskarsson, Sven, Pickrell, Joseph K, Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S, Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H, Pina Concas, Maria, Derringer, Jaime, Furlotte, Nicholas A, Galesloot, Tessel E, Girotto, Giorgia, Gupta, Richa, Hall, Leanne M, Harris, Sarah E, Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E, Kaasik, Kadri, Kalafati, Ioanna P, Karlsson, Robert, Kong, Augustine, Lahti, Jari, van der Lee, Sven J, deLeeuw, Christiaan, Lind, Penelope A, Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B, van der Most, Peter J, Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J, Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E, Shi, Jianxin, Smith, Albert V, Poot, Raymond A, St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z, Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E, Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A, Campbell, Harry, Cappuccio, Francesco P, Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M, Faul, Jessica D, Feitosa, Mary F, Forstner, Andreas J, Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V, Harris, Tamara B, Heath, Andrew C, Hocking, Lynne J, Holliday, Elizabeth G, Homuth, Georg, and Horan, Michael A
Subjects: LifeLines Cohort Study, Brain, Fetus, Humans, Alzheimer Disease, Cognition, Bipolar Disorder, Schizophrenia, Computational Biology, Gene Expression Regulation, Polymorphism, Single Nucleotide, Educational Status, Genome-Wide Association Study, Molecular Sequence Annotation, Gene-Environment Interaction, United Kingdom, Polymorphism, Single Nucleotide, General Science & Technology
Abstract: Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
Published: 2016

50. Novel Genetic Loci Associated With Retinal Microvascular Diameter

Author: Jensen, Richard A, Sim, Xueling, Smith, Albert Vernon, Li, Xiaohui, Jakobsdóttir, Jóhanna, Cheng, Ching-Yu, Brody, Jennifer A, Cotch, Mary Frances, Mcknight, Barbara, Klein, Ronald, Wang, Jie Jin, Kifley, Annette, Harris, Tamara B, Launer, Lenore J, Taylor, Kent D, Klein, Barbara EK, Raffel, Leslie J, Li, Xiang, Ikram, M Arfan, Klaver, Caroline C, van der Lee, Sven J, Mutlu, Unal, Hofman, Albert, Uitterlinden, André G, Liu, Chunyu, Kraja, Aldi T, Mitchell, Paul, Gudnason, Vilmundur, Rotter, Jerome I, Boerwinkle, Eric, van Duijn, Cornelia M, Psaty, Bruce M, and Wong, Tien Y
Subjects: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Eye Disease and Disorders of Vision, Clinical Research, Human Genome, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Adult, Aged, Aged, 80 and over, Alleles, Arterioles, DNA-Binding Proteins, Female, Gene Frequency, Genetic Loci, Humans, Male, Middle Aged, Nuclear Proteins, Polymorphism, Single Nucleotide, Retinal Artery, Retinal Vein, TEA Domain Transcription Factors, Tetraspanins, Transcription Factors, Venules, meta-analysis, genetics, microcirculation, exome, retina, CHARGE Exome Chip Blood Pressure Consortium, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract: BackgroundThere is increasing evidence that retinal microvascular diameters are associated with cardiovascular and cerebrovascular conditions. The shared genetic effects of these associations are currently unknown. The aim of this study was to increase our understanding of the genetic factors that mediate retinal vessel size.Methods and resultsThis study extends previous genome-wide association study results using 24 000+ multiethnic participants from 7 discovery cohorts and 5000+ subjects of European ancestry from 2 replication cohorts. Using the Illumina HumanExome BeadChip, we investigate the association of single-nucleotide polymorphisms and variants collectively across genes with summary measures of retinal vessel diameters, referred to as the central retinal venule equivalent and the central retinal arteriole equivalent. We report 4 new loci associated with central retinal venule equivalent, one of which is also associated with central retinal arteriole equivalent. The 4 single-nucleotide polymorphisms are rs7926971 in TEAD1 (P=3.1×10(-) (11); minor allele frequency=0.43), rs201259422 in TSPAN10 (P=4.4×10(-9); minor allele frequency=0.27), rs5442 in GNB3 (P=7.0×10(-10); minor allele frequency=0.05), and rs1800407 in OCA2 (P=3.4×10(-8); minor allele frequency=0.05). The latter single-nucleotide polymorphism, rs1800407, was also associated with central retinal arteriole equivalent (P=6.5×10(-12)). Results from the gene-based burden tests were null. In phenotype look-ups, single-nucleotide polymorphism rs201255422 was associated with both systolic (P=0.001) and diastolic blood pressures (P=8.3×10(-04)).ConclusionsOur study expands the understanding of genetic factors influencing the size of the retinal microvasculature. These findings may also provide insight into the relationship between retinal and systemic microvascular disease.
Published: 2016

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