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1. Targeted Genetic Screen in Amyotrophic Lateral Sclerosis Reveals Novel Genetic Variants with Synergistic Effect on Clinical Phenotype

Author

Johnathan Cooper-Knock, Henry Robins, Isabell Niedermoser, Matthew Wyles, Paul R. Heath, Adrian Higginbottom, Theresa Walsh, Mbombe Kazoka, Project MinE ALS Sequencing Consortium, Paul G. Ince, Guillaume M. Hautbergue, Christopher J. McDermott, Janine Kirby, Pamela J. Shaw, Ahmad Al Kheifat, Ammar Al-Chalabi, Nazli Basak, Ian Blair, Annelot Dekker, Orla Hardiman, Winston Hide, Alfredo Iacoangeli, Kevin Kenna, John Landers, Russel McLaughlin, Jonathan Mill, Bas Middelkoop, Mattieu Moisse, Jesus Mora Pardina, Karen Morrison, Stephen Newhouse, Sara Pulit, Aleksey Shatunov, Chris Shaw, William Sproviero, Gijs Tazelaar, Philip van Damme, Leonard van den Berg, Rick van der Spek, Kristelvan Eijk, Michael van Es, Wouter van Rheenen, Joke van Vugt, Jan Veldink, Maarten Kooyman, Jonathan Glass, Wim Robberecht, Marc Gotkine, Vivian Drory, Matthew Kiernan, Miguel Mitne Neto, Mayana Ztaz, Philippe Couratier, Philippe Corcia, Vincenzo Silani, Adriano Chio, Mamede de Carvalho, Susana Pinto, Alberto Garcia Redondo, Peter Andersen, Markus Weber, and Nicola Ticozzi

Subjects
amyotrophic lateral sclerosis, RNA binding proteins, oligogenic inheritance, C9ORF72, DNA sequencing, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Amyotrophic lateral sclerosis (ALS) is underpinned by an oligogenic rare variant architecture. Identified genetic variants of ALS include RNA-binding proteins containing prion-like domains (PrLDs). We hypothesized that screening genes encoding additional similar proteins will yield novel genetic causes of ALS. The most common genetic variant of ALS patients is a G4C2-repeat expansion within C9ORF72. We have shown that G4C2-repeat RNA sequesters RNA-binding proteins. A logical consequence of this is that loss-of-function mutations in G4C2-binding partners might contribute to ALS pathogenesis independently of and/or synergistically with C9ORF72 expansions. Targeted sequencing of genomic DNA encoding either RNA-binding proteins or known ALS genes (n = 274 genes) was performed in ALS patients to identify rare deleterious genetic variants and explore genotype-phenotype relationships. Genomic DNA was extracted from 103 ALS patients including 42 familial ALS patients and 61 young-onset (average age of onset 41 years) sporadic ALS patients; patients were chosen to maximize the probability of identifying genetic causes of ALS. Thirteen patients carried a G4C2-repeat expansion of C9ORF72. We identified 42 patients with rare deleterious variants; 6 patients carried more than one variant. Twelve mutations were discovered in known ALS genes which served as a validation of our strategy. Rare deleterious variants in RNA-binding proteins were significantly enriched in ALS patients compared to control frequencies (p = 5.31E-18). Nineteen patients featured at least one variant in a RNA-binding protein containing a PrLD. The number of variants per patient correlated with rate of disease progression (t-test, p = 0.033). We identified eighteen patients with a single variant in a G4C2-repeat binding protein. Patients with a G4C2-binding protein variant in combination with a C9ORF72 expansion had a significantly faster disease course (t-test, p = 0.025). Our data are consistent with an oligogenic model of ALS. We provide evidence for a number of entirely novel genetic variants of ALS caused by mutations in RNA-binding proteins. Moreover we show that these mutations act synergistically with each other and with C9ORF72 expansions to modify the clinical phenotype of ALS. A key finding is that this synergy is present only between functionally interacting variants. This work has significant implications for ALS therapy development.

Published
2017
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2. Association analysis of bitter receptor genes in five isolated populations identifies a significant correlation between TAS2R43 variants and coffee liking.

Author

Nicola Pirastu, Maarten Kooyman, Michela Traglia, Antonietta Robino, Sara M Willems, Giorgio Pistis, Pio d'Adamo, Najaf Amin, Angela d'Eustacchio, Luciano Navarini, Cinzia Sala, Lennart C Karssen, Cornelia van Duijn, Daniela Toniolo, and Paolo Gasparini

Subjects
Medicine, Science
Abstract

Coffee, one of the most popular beverages in the world, contains many different physiologically active compounds with a potential impact on people's health. Despite the recent attention given to the genetic basis of its consumption, very little has been done in understanding genes influencing coffee preference among different individuals. Given its markedly bitter taste, we decided to verify if bitter receptor genes (TAS2Rs) variants affect coffee liking. In this light, 4066 people from different parts of Europe and Central Asia filled in a field questionnaire on coffee liking. They have been consequently recruited and included in the study. Eighty-eight SNPs covering the 25 TAS2R genes were selected from the available imputed ones and used to run association analysis for coffee liking. A significant association was detected with three SNP: one synonymous and two functional variants (W35S and H212R) on the TAS2R43 gene. Both variants have been shown to greatly reduce in vitro protein activity. Surprisingly the wild type allele, which corresponds to the functional form of the protein, is associated to higher liking of coffee. Since the hTAS2R43 receptor is sensible to caffeine, we verified if the detected variants produced differences in caffeine bitter perception on a subsample of people coming from the FVG cohort. We found a significant association between differences in caffeine perception and the H212R variant but not with the W35S, which suggests that the effect of the TAS2R43 gene on coffee liking is mediated by caffeine and in particular by the H212R variant. No other significant association was found with other TAS2R genes. In conclusion, the present study opens new perspectives in the understanding of coffee liking. Further studies are needed to clarify the role of the TAS2R43 gene in coffee hedonics and to identify which other genes and pathways are involved in its genetics.

Published
2014
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3. PO-629-03 IN-DEPTH ANALYSIS OF THE SCN5A LOCUS HIGHLIGHTS DISTINCT GENETIC ARCHITECTURES FOR BRUGADA SYNDROME IN DIFFERENT ANCESTRIES AND IDENTIFIES A NOVEL RARE ENHANCER VARIANT ASSOCIATED WITH DISEASE IN SOUTHEAST ASIAN PATIENTS

Author

Roddy Walsh, Apichai Khongphatthanayothin, John Mauleekoonphairoj, Leander Beekman, Maarten Kooyman, Cheng-I Wu, Julien Barc, Rafik Tadros, Ahmad S. Amin, Pieter Gerard Postema, Yanushi Dullewe Wijeyeratne, Pier D. Lambiase, Elijah Behr, Arthur A.M. Wilde, Yong Poovorawan, Connie R. Bezzina, and Koonlawee Nademanee

Subjects
Physiology (medical), Cardiology and Cardiovascular Medicine
Published
2022

4. Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Author

Klara Gawor, Sandra D'Alfonso, Nicholas Wood, Wouter Van Rheenen, Mark Bakker, Philip Van Damme, Christian Lunetta, Giancarlo Logroscino, Frederik Steyn, Joke Van Vugt, Anna Rapa, Alessandro Padovani, Maarten Kooyman, Olivier Bakker, Caroline Graff, John Landers, Paul Hop, David Whiteman, Johnathan Cooper-Knock, Lude Franke, Jonathan Mill, Julia Kraft, Luca Chiveri, Lukas Tittmann, Fleur Garton, Beben Benyamin, Elisabetta Pupillo, Patrick Deelen, Ramona Zwamborn, and ALESSANDRA FERLINI

Subjects
0303 health sciences, 03 medical and health sciences, 0302 clinical medicine, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a life-time risk of 1 in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry GWAS in ALS including 29,612 ALS patients and 122,656 controls which identified 15 risk loci in ALS. When combined with 8,953 whole-genome sequenced individuals (6,538 ALS patients, 2,415 controls) and the largest cortex-derived eQTL dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, repeat expansions or regulatory effects. ALS associated risk loci were shared with multiple traits within the neurodegenerative spectrum, but with distinct enrichment patterns across brain regions and cell-types. Across environmental and life-style risk factors obtained from literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. All ALS associated signals combined reveal a role for perturbations in vesicle mediated transport and autophagy, and provide evidence for cell-autonomous disease initiation in glutamatergic neurons.

Published
2021

5. CHCHD10 variants in amyotrophic lateral sclerosis: Where is the evidence?

Author

Bas Middelkoop, Rick A.A. van der Spek, Matthieu Moisse, Kevin P. Kenna, Maarten Kooyman, Karen E. Morrison, Orla HardimanMD, Philip Van Damme, Michael A. van Es, Fulya Akçimen, John Landers, Jesus S. Mora, William J. Brands, Jan H. Veldink, Gijs H.P. Tazelaar, Kristel E. van Eijk, William Sproviero, Raymond D. Schellevis, Stephen E. Newhouse, Leonard H. van den Berg, Christopher Shaw, Mònica Povedano, Cemile Kocoglu, Jonathan D. Glass, A. Nazli Basak, Ceren Tunca, Sara L. Pulit, Wouter van Rheenen, Pamela J. Shaw, Ammar Al-Chalabi, Perry T.C. van Doormaal, Wim Robberecht, Annelot M. Dekker, and Russell L. McLaughlin

Subjects
0301 basic medicine, Nonsynonymous substitution, Genetics, Mutation, Mitochondrial disease, Biology, medicine.disease, medicine.disease_cause, Genome, Phenotype, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Neurology, medicine, Clinical significance, Neurology (clinical), Amyotrophic lateral sclerosis, medicine.symptom, Myopathy, 030217 neurology & neurosurgery
Abstract

Objective: After the initial report of a CHCHD10 mutation in mitochondrial disease with features resembling amyotrophic lateral sclerosis (ALS), CHCHD10 mutations have been considered to be a frequent cause for ALS. However, the exact pathogenicity and clinical significance of these mutations remain unclear. Here, we aimed to determine the role of CHCHD10 mutations in ALS. Methods: We analyzed 4,365 whole genome sequenced ALS patients and 1,832 controls from 7 different countries and examined all nonsynonymous single nucleotide variants in CHCHD10. These were tested for association with ALS, independently and in aggregate using several genetic burden tests (including sequence kernel association test [SKAT], optimal unified test [SKAT-O], and Firth logistic regression). Results: We identified 3 new variants in cases, but only 1 was ALS-specific. lso, 1 control-specific mutation was identified. There was no increased burden of rare coding mutations among ALS patients compared to controls (p=0.86, p=0.86, and p=0.88 for SKAT, SKAT-O, and Firth, respectively). The few carriers with potential pathogenic CHCHD10 mutations exhibited a slowly progressive ALS-like phenotype with atypical features such as myopathy and deafness. Interpretation: CHCHD10 mutations seem to be a far less prevalent cause of pure ALS than previously suggested, and instead appear related to more complex phenotypes. There appears to be insufficient evidence for the pathogenicity of most previously reported variants in pure ALS. This study shows that routine testing for CHCHD10 mutations in pure ALS is not recommended and illustrates the importance of sufficient genetic and functional evidence in establishing pathogenicity of genetic variants.

Published
2018

6. The Project MinE databrowser: bringing large-scale whole-genome sequencing in ALS to researchers and the public

Author

Gijs H.P. Tazelaar, Yolanda Campos, Pamela J. Shaw, Rick A.A. van der Spek, Ammar Al-Chalabi, Ian R. A. Mackenzie, John Landers, Mónica Povedano Panades, Ceren Tunca, Johnathan Cooper-Knock, Karen E. Morrison, Orla Hardiman, Janez Zidar, Vivian E. Drory, Atay Vural, Vera Fominyh, Kristel R. van Eijk, Raymond D. Schellevis, Ahmad Al Khleifat, Phillipe Corcia, Ersen Kavak, Stephan Newhouse, Mamede de Carvalho, Kevin P. Kenna, Sara L. Pulit, William J. Brands, Nazli Basak, Marc Gotkine, Gabriel Miltenberger-Miltenyi, Matthieu Moisse, Jesus S. Mora, Annelot M. Dekker, Joke J.F.A. van Vugt, Boris Rogelj, Philip Van Damme, Wim Robberecht, Ervina Bilić, Maarten Kooyman, William Sproviero, Nicolas Dupré, Blaz Koritnik, Tuncay Seker, Leonard H. van den Berg, Jan H. Veldink, Ross P. Byrne, Brendan J. Kenna, Naomi R. Wray, P. Couratier, Perry T.C. van Doormaal, Jonathan D. Glass, Johnathan Mill, Russell L. McLaughlin, Bas Middelkoop, Lev Brylev, Alberto Garcia Redondo, Nicola Ticozzi, Markus Weber, Wouter van Rheenen, Mayana Zatz, Christopher Shaw, Cemile Kocoglu, Ivana Munitic, Ekaterina Rogaeva, Miguel Mitne-Neto, Peter M. Andersen, Vincenzo Silani, Michael A. van Es, Fulya Akçimen, Aleksey Shatunov, Matthew C. Kiernan, Ian P. Blair, Guy A. Rouleau, Adriano Chiò, Alfredo Iacoangeli, and Victoria Lopez Alonso

Subjects
Whole genome sequencing, Resource (project management), Computer science, Project MinE, Scale (social sciences), Genetic variation, Genomics, Biostatistics, Set (psychology), Data science
Abstract

Amyotrophic lateral sclerosis (ALS) is a rapidly progressive fatal neurodegenerative disease affecting 1 in 350 people. The aim of Project MinE is to elucidate the pathophysiology of ALS through whole-genome sequencing at least 15,000 ALS patients and 7,500 controls at 30X coverage. Here, we present the Project MinE data browser (databrowser.projectmine.com). a unique and intuitive one-stop, open-access server that provides detailed information on genetic variation analyzed in a new and still growing set of 4,366 ALS cases and 1,832 matched controls. Through its visual components and interactive design, the browser specifically aims to be a resource to those without a biostatistics background and allow clinicians and preclinical researchers to integrate Project MinE data into their own research. The browser allows users to query a transcript and immediately access a unique combination of detailed (meta)data, annotations and association statistics that would otherwise require analytic expertise and visits to scattered resources.

Published
2018

7. Genome-wide Analyses Identify KIF5A as a Novel ALS Gene

Author

Aude Nicolas, Kevin P. Kenna, Alan E. Renton, Nicola Ticozzi, Faraz Faghri, Ruth Chia, Janice A. Dominov, Brendan J. Kenna, Mike A. Nalls, Pamela Keagle, Alberto M. Rivera, Wouter van Rheenen, Natalie A. Murphy, Joke J.F.A. van Vugt, Joshua T. Geiger, Rick A. Van der Spek, Hannah A. Pliner, null Shankaracharya, Bradley N. Smith, Giuseppe Marangi, Simon D. Topp, Yevgeniya Abramzon, Athina Soragia Gkazi, John D. Eicher, Aoife Kenna, Gabriele Mora, Andrea Calvo, Letizia Mazzini, Nilo Riva, Jessica Mandrioli, Claudia Caponnetto, Stefania Battistini, Paolo Volanti, Vincenzo La Bella, Francesca L. Conforti, Giuseppe Borghero, Sonia Messina, Isabella L. Simone, Francesca Trojsi, Fabrizio Salvi, Francesco O. Logullo, Sandra D’Alfonso, Lucia Corrado, Margherita Capasso, Luigi Ferrucci, Cristiane de Araujo Martins Moreno, Sitharthan Kamalakaran, David B. Goldstein, Aaron D. Gitler, Tim Harris, Richard M. Myers, Hemali Phatnani, Rajeeva Lochan Musunuri, Uday Shankar Evani, Avinash Abhyankar, Michael C. Zody, Julia Kaye, Steven Finkbeiner, Stacia K. Wyman, Alex LeNail, Leandro Lima, Ernest Fraenkel, Clive N. Svendsen, Leslie M. Thompson, Jennifer E. Van Eyk, James D. Berry, Timothy M. Miller, Stephen J. Kolb, Merit Cudkowicz, Emily Baxi, Michael Benatar, J. Paul Taylor, Evadnie Rampersaud, Gang Wu, Joanne Wuu, Giuseppe Lauria, Federico Verde, Isabella Fogh, Cinzia Tiloca, Giacomo P. Comi, Gianni Sorarù, Cristina Cereda, Philippe Corcia, Hannu Laaksovirta, Liisa Myllykangas, Lilja Jansson, Miko Valori, John Ealing, Hisham Hamdalla, Sara Rollinson, Stuart Pickering-Brown, Richard W. Orrell, Katie C. Sidle, Andrea Malaspina, John Hardy, Andrew B. Singleton, Janel O. Johnson, Sampath Arepalli, Peter C. Sapp, Diane McKenna-Yasek, Meraida Polak, Seneshaw Asress, Safa Al-Sarraj, Andrew King, Claire Troakes, Caroline Vance, Jacqueline de Belleroche, Frank Baas, Anneloor L.M.A. ten Asbroek, José Luis Muñoz-Blanco, Dena G. Hernandez, Jinhui Ding, J. Raphael Gibbs, Sonja W. Scholz, Mary Kay Floeter, Roy H. Campbell, Francesco Landi, Robert Bowser, Stefan M. Pulst, John M. Ravits, Daniel J.L. MacGowan, Janine Kirby, Erik P. Pioro, Roger Pamphlett, James Broach, Glenn Gerhard, Travis L. Dunckley, Christopher B. Brady, Neil W. Kowall, Juan C. Troncoso, Isabelle Le Ber, Kevin Mouzat, Serge Lumbroso, Terry D. Heiman-Patterson, Freya Kamel, Ludo Van Den Bosch, Robert H. Baloh, Tim M. Strom, Thomas Meitinger, Aleksey Shatunov, Kristel R. Van Eijk, Mamede de Carvalho, Maarten Kooyman, Bas Middelkoop, Matthieu Moisse, Russell L. McLaughlin, Michael A. Van Es, Markus Weber, Kevin B. Boylan, Marka Van Blitterswijk, Rosa Rademakers, Karen E. Morrison, A. Nazli Basak, Jesús S. Mora, Vivian E. Drory, Pamela J. Shaw, Martin R. Turner, Kevin Talbot, Orla Hardiman, Kelly L. Williams, Jennifer A. Fifita, Garth A. Nicholson, Ian P. Blair, Guy A. Rouleau, Jesús Esteban-Pérez, Alberto García-Redondo, Ammar Al-Chalabi, Ekaterina Rogaeva, Lorne Zinman, Lyle W. Ostrow, Nicholas J. Maragakis, Jeffrey D. Rothstein, Zachary Simmons, Johnathan Cooper-Knock, Alexis Brice, Stephen A. Goutman, Eva L. Feldman, Summer B. Gibson, Franco Taroni, Antonia Ratti, Cinzia Gellera, Philip Van Damme, Wim Robberecht, Pietro Fratta, Mario Sabatelli, Christian Lunetta, Albert C. Ludolph, Peter M. Andersen, Jochen H. Weishaupt, William Camu, John Q. Trojanowski, Vivianna M. Van Deerlin, Robert H. Brown, Leonard H. van den Berg, Jan H. Veldink, Matthew B. Harms, Jonathan D. Glass, David J. Stone, Pentti Tienari, Vincenzo Silani, Adriano Chiò, Christopher E. Shaw, Bryan J. Traynor, John E. Landers, Isabella Simone, Giancarlo Logroscino, Ilaria Bartolomei, Maria Rita Murru, Emanuela Costantino, Carla Pani, Roberta Puddu, Carla Caredda, Valeria Piras, Stefania Tranquilli, Stefania Cuccu, Daniela Corongiu, Maurizio Melis, Antonio Milia, Francesco Marrosu, Maria Giovanna Marrosu, Gianluca Floris, Antonino Cannas, Gianluigi Mancardi, Paola Origone, Paola Mandich, Sebastiano Cavallaro, Kalliopi Marinou, Riccardo Sideri, Silvana Penco, Lorena Mosca, Giuseppe Lauria Pinter, Massimo Corbo, Paola Carrera, Nicola Fini, Antonio Fasano, Lucio Tremolizzo, Alessandro Arosio, Carlo Ferrarese, Gioacchino Tedeschi, Maria Rosaria Monsurrò, Giovanni Piccirillo, Cinzia Femiano, Anna Ticca, Enzo Ortu, Rossella Spataro, Tiziana Colletti, Marcella Zollino, Amelia Conte, Marco Luigetti, Serena Lattante, Marialuisa Santarelli, Antonio Petrucci, Maura Pugliatti, Angelo Pirisi, Leslie D. Parish, Patrizia Occhineri, Fabio Giannini, Claudia Ricci, Michele Benigni, Tea B. Cau, Daniela Loi, Cristina Moglia, Maura Brunetti, Marco Barberis, Gabriella Restagno, Federico Casale, Giuseppe Marrali, Giuseppe Fuda, Irene Ossola, Stefania Cammarosano, Antonio Canosa, Antonio Ilardi, Umberto Manera, Maurizio Grassano, Raffaella Tanel, Fabrizio Pisano, Neil A. Shneider, Stephen Goutman, Siddharthan Chandran, Suvankar Pal, George Manousakis, Stanley H. Appel, Ericka Simpson, Leo Wang, Summer Gibson, Richard Bedlack, David Lacomis, Dhruv Sareen, Alexander Sherman, Lucie Bruijn, Michelle Penny, Andrew S. Allen, Stanley Appel, Richard S. Bedlack, Braden E. Boone, Robert Brown, John P. Carulli, Alessandra Chesi, Wendy K. Chung, Elizabeth T. Cirulli, Gregory M. Cooper, Julien Couthouis, Aaron G. Day-Williams, Patrick A. Dion, Yujun Han, Sebastian D. Hayes, Angela L. Jones, Jonathan Keebler, Brian J. Krueger, Brittany N. Lasseigne, Shawn E. Levy, Yi-Fan Lu, Tom Maniatis, Slavé Petrovski, Alya R. Raphael, Zhong Ren, Katherine B. Sims, John F. Staropoli, Lindsay L. Waite, Quanli Wang, Jack R. Wimbish, Winnie W. Xin, Justin Kwan, James R. Broach, Ximena Arcila-Londono, Edward B. Lee, Noah Zaitlen, Gregory A. Cox, Steve Finkbeiner, Efthimios Dardiotis, Eran Hornstein, Daniel J. MacGowan, Terry Heiman-Patterson, Molly G. Hammell, Nikolaos A. Patsopoulos, Joshua Dubnau, Avindra Nath, Stacia Wyman, Alexander LeNail, Jenny Van Eyk, Stephan Züchner, Rebecca Schule, Jacob McCauley, Sumaira Hussain, Anne Cooley, Marielle Wallace, Christine Clayman, Richard Barohn, Jeffrey Statland, John Ravits, Andrea Swenson, Carlayne Jackson, Jaya Trivedi, Shaida Khan, Jonathan Katz, Liberty Jenkins, Ted Burns, Kelly Gwathmey, James Caress, Corey McMillan, Lauren Elman, Erik Pioro, Jeannine Heckmann, Yuen So, David Walk, Samuel Maiser, Jinghui Zhang, Fabiola De Marchi, Stefania Corti, Mauro Ceroni, Gabriele Siciliano, Massimiliano Filosto, Maurizio Inghilleri, Silvia Peverelli, Claudia Colombrita, Barbara Poletti, Luca Maderna, Roberto Del Bo, Stella Gagliardi, Giorgia Querin, Cinzia Bertolin, Viviana Pensato, Barbara Castellotti, Vincent Meininger, Gérard Besson, Emmeline Lagrange, Pierre Clavelou, Nathalie Guy, Philippe Couratier, Patrick Vourch, Véronique Danel, Emilien Bernard, Gwendal Lemasson, Ahmad Al Kheifat, Peter Andersen, Adriano Chio, Jonathan Cooper-Knock, Annelot Dekker, Vivian Drory, Alberto Garcia Redondo, Marc Gotkine, Winston Hide, Alfredo Iacoangeli, Jonathan Glass, Kevin Kenna, Matthew Kiernan, John Landers, Russell McLaughlin, Jonathan Mill, Miguel Mitne Neto, Mattieu Moisse, Jesus Mora Pardina, Karen Morrison, Stephen Newhouse, Susana Pinto, Sara Pulit, Pamela Shaw, Chris Shaw, William Sproviero, Gijs Tazelaar, Philip van Damme, Leonard van den Berg, Rick van der Spek, Kristel van Eijk, Michael van Es, Joke van Vugt, Jan Veldink, Mayana Zatz, Denis C. Bauer, Natalie A. Twine, Department of Neurosciences, Pentti Tienari / Principal Investigator, Neurologian yksikkö, Research Programs Unit, Clinicum, Research Programme for Molecular Neurology, University of Helsinki, Medicum, Department of Pathology, HUS Neurocenter, Nicolas A., Kenna K.P., Renton A.E., Ticozzi N., Faghri F., Chia R., Dominov J.A., Kenna B.J., Nalls M.A., Keagle P., Rivera A.M., van Rheenen W., Murphy N.A., van Vugt J.J.F.A., Geiger J.T., Van der Spek R.A., Pliner H.A., Shankaracharya, Smith B.N., Marangi G., Topp S.D., Abramzon Y., Gkazi A.S., Eicher J.D., Kenna A., Logullo F.O., Simone I.L., Logroscino G., Salvi F., Bartolomei I., Borghero G., Murru M.R., Costantino E., Pani C., Puddu R., Caredda C., Piras V., Tranquilli S., Cuccu S., Corongiu D., Melis M., Milia A., Marrosu F., Marrosu M.G., Floris G., Cannas A., Capasso M., Caponnetto C., Mancardi G., Origone P., Mandich P., Conforti F.L., Cavallaro S., Mora G., Marinou K., Sideri R., Penco S., Mosca L., Lunetta C., Pinter G.L., Corbo M., Riva N., Carrera P., Volanti P., Mandrioli J., Fini N., Fasano A., Tremolizzo L., Arosio A., Ferrarese C., Trojsi F., Tedeschi G., Monsurro M.R., Piccirillo G., Femiano C., Ticca A., Ortu E., La Bella V., Spataro R., Colletti T., Sabatelli M., Zollino M., Conte A., Luigetti M., Lattante S., Santarelli M., Petrucci A., Pugliatti M., Pirisi A., Parish L.D., Occhineri P., Giannini F., Battistini S., Ricci C., Benigni M., Cau T.B., Loi D., Calvo A., Moglia C., Brunetti M., Barberis M., Restagno G., Casale F., Marrali G., Fuda G., Ossola I., Cammarosano S., Canosa A., Ilardi A., Manera U., Grassano M., Tanel R., Pisano F., Mazzini L., Messina S., D'Alfonso S., Corrado L., Ferrucci L., Harms M.B., Goldstein D.B., Shneider N.A., Goutman S.A., Simmons Z., Miller T.M., Chandran S., Pal S., Manousakis G., Appel S.H., Simpson E., Wang L., Baloh R.H., Gibson S.B., Bedlack R., Lacomis D., Sareen D., Sherman A., Bruijn L., Penny M., Moreno C.D.A.M., Kamalakaran S., Allen A.S., Boone B.E., Brown R.H., Carulli J.P., Chesi A., Chung W.K., Cirulli E.T., Cooper G.M., Couthouis J., Day-Williams A.G., Dion P.A., Gitler A.D., Glass J.D., Han Y., Harris T., Hayes S.D., Jones A.L., Keebler J., Krueger B.J., Lasseigne B.N., Levy S.E., Lu Y.-F., Maniatis T., McKenna-Yasek D., Myers R.M., Petrovski S., Pulst S.M., Raphael A.R., Ravits J.M., Ren Z., Rouleau G.A., Sapp P.C., Sims K.B., Staropoli J.F., Waite L.L., Wang Q., Wimbish J.R., Xin W.W., Phatnani H., Kwan J., Broach J., Arcila-Londono X., Lee E.B., Van Deerlin V.M., Fraenkel E., Ostrow L.W., Baas F., Zaitlen N., Berry J.D., Malaspina A., Fratta P., Cox G.A., Thompson L.M., Finkbeiner S., Dardiotis E., Hornstein E., MacGowan D.J.L., Heiman-Patterson T., Hammell M.G., Patsopoulos N.A., Dubnau J., Nath A., Musunuri R.L., Evani U.S., Abhyankar A., Zody M.C., Kaye J., Wyman S.K., LeNail A., Lima L., Rothstein J.D., Svendsen C.N., Van Eyk J.E., Maragakis N.J., Kolb S.J., Cudkowicz M., Baxi E., Benatar M., Taylor J.P., Wu G., Rampersaud E., Wuu J., Rademakers R., Zuchner S., Schule R., McCauley J., Hussain S., Cooley A., Wallace M., Clayman C., Barohn R., Statland J., Swenson A., Jackson C., Trivedi J., Khan S., Katz J., Jenkins L., Burns T., Gwathmey K., Caress J., McMillan C., Elman L., Pioro E.P., Heckmann J., So Y., Walk D., Maiser S., Zhang J., Silani V., Gellera C., Ratti A., Taroni F., Lauria G., Verde F., Fogh I., Tiloca C., Comi G.P., Soraru G., Cereda C., De Marchi F., Corti S., Ceroni M., Siciliano G., Filosto M., Inghilleri M., Peverelli S., Colombrita C., Poletti B., Maderna L., Del Bo R., Gagliardi S., Querin G., Bertolin C., Pensato V., Castellotti B., Camu W., Mouzat K., Lumbroso S., Corcia P., Meininger V., Besson G., Lagrange E., Clavelou P., Guy N., Couratier P., Vourch P., Danel V., Bernard E., Lemasson G., Laaksovirta H., Myllykangas L., Jansson L., Valori M., Ealing J., Hamdalla H., Rollinson S., Pickering-Brown S., Orrell R.W., Sidle K.C., Hardy J., Singleton A.B., Johnson J.O., Arepalli S., Polak M., Asress S., Al-Sarraj S., King A., Troakes C., Vance C., de Belleroche J., ten Asbroek A.L.M.A., Munoz-Blanco J.L., Hernandez D.G., Ding J., Gibbs J.R., Scholz S.W., Floeter M.K., Campbell R.H., Landi F., Bowser R., Kirby J., Pamphlett R., Gerhard G., Dunckley T.L., Brady C.B., Kowall N.W., Troncoso J.C., Le Ber I., Heiman-Patterson T.D., Kamel F., Van Den Bosch L., Strom T.M., Meitinger T., Shatunov A., Van Eijk K.R., de Carvalho M., Kooyman M., Middelkoop B., Moisse M., McLaughlin R.L., Van Es M.A., Weber M., Boylan K.B., Van Blitterswijk M., Morrison K.E., Basak A.N., Mora J.S., Drory V.E., Shaw P.J., Turner M.R., Talbot K., Hardiman O., Williams K.L., Fifita J.A., Nicholson G.A., Blair I.P., Esteban-Perez J., Garcia-Redondo A., Al-Chalabi A., Al Kheifat A., Andersen P.M., Chio A., Cooper-Knock J., Dekker A., Redondo A.G., Gotkine M., Hide W., Iacoangeli A., Kiernan M., Landers J.E., Mill J., Neto M.M., Pardina J.M., Newhouse S., Pinto S., Pulit S., Robberecht W., Shaw C., Sproviero W., Tazelaar G., Van Damme P., van den Berg L.H., van Vugt J., Veldink J.H., Zatz M., Bauer D.C., Twine N.A., Rogaeva E., Zinman L., Brice A., Feldman E.L., Ludolph A.C., Weishaupt J.H., Trojanowski J.Q., Stone D.J., Tienari P., Shaw C.E., Traynor B.J., ITALSGEN Consortium, Genomic Translation ALS Care GTAC, ALS Sequencing Consortium, NYGC ALS Consortium, Answer ALS Fdn, Clinical Res ALS Related Disorders, SLAGEN Consortium, French ALS Consortium, Project MinE ALS Sequencing Consor, Medical Research Council (MRC), ANS - Complex Trait Genetics, Human Genetics, ARD - Amsterdam Reproduction and Development, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Università cattolica del Sacro Cuore [Roma] (Unicatt), Centre référent Sclérose Latérale Amyotrophique [CHRU Montpellier] (SLA CHRU Montpellier), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1), Lunar and Planetary Laboratory [Tucson] (LPL), University of Arizona, Università degli studi di Torino (UNITO), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), New York Genome Center [New York], New York Genome Center, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), St Jude Children's Research Hospital, Howard Hughes Medical Institute [Chevy Chase] (HHMI), Howard Hughes Medical Institute (HHMI), Centre de compétence de la Sclérose Latérale Amyotrophique [CHRU Tours] (SLA CHRU Tours), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), University College of London [London] (UCL), Synchrotron SOLEIL (SSOLEIL), Centre National de la Recherche Scientifique (CNRS), King‘s College London, University of New Haven [Connecticut], Princeton University, Laboratoire de Biochimie [CHRU Nîmes], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Helmholtz-Zentrum München (HZM), University Medical Center [Utrecht], Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Mayo Clinic [Jacksonville], Trinity College Dublin, Maurice Wohl Clinical Neuroscience Institut, Tanz Center Research in Neurodegenerative Diseases [Toronto], University of Toronto, Neurologie et thérapeutique expérimentale, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Repositório da Universidade de Lisboa, Nicolas, A, Kenna, K, Renton, A, Ticozzi, N, Faghri, F, Chia, R, Dominov, J, Kenna, B, Nalls, M, Keagle, P, Rivera, A, van Rheenen, W, Murphy, N, van Vugt, J, Geiger, J, van der Spek, R, Pliner, H, Shankaracharya, N, Smith, B, Marangi, G, Topp, S, Abramzon, Y, Gkazi, A, Eicher, J, Kenna, A, Logullo, F, Simone, I, Logroscino, G, Salvi, F, Bartolomei, I, Borghero, G, Murru, M, Costantino, E, Pani, C, Puddu, R, Caredda, C, Piras, V, Tranquilli, S, Cuccu, S, Corongiu, D, Melis, M, Milia, A, Marrosu, F, Marrosu, M, Floris, G, Cannas, A, Capasso, M, Caponnetto, C, Mancardi, G, Origone, P, Mandich, P, Conforti, F, Cavallaro, S, Mora, G, Marinou, K, Sideri, R, Penco, S, Mosca, L, Lunetta, C, Pinter, G, Corbo, M, Riva, N, Carrera, P, Volanti, P, Mandrioli, J, Fini, N, Fasano, A, Tremolizzo, L, Arosio, A, Ferrarese, C, Trojsi, F, Tedeschi, G, Monsurrò, M, Piccirillo, G, Femiano, C, Ticca, A, Ortu, E, La Bella, V, Spataro, R, Colletti, T, Sabatelli, M, Zollino, M, Conte, A, Luigetti, M, Lattante, S, Santarelli, M, Petrucci, A, Pugliatti, M, Pirisi, A, Parish, L, Occhineri, P, Giannini, F, Battistini, S, Ricci, C, Benigni, M, Cau, T, Loi, D, Calvo, A, Moglia, C, Brunetti, M, Barberis, M, Restagno, G, Casale, F, Marrali, G, Fuda, G, Ossola, I, Cammarosano, S, Canosa, A, Ilardi, A, Manera, U, Grassano, M, Tanel, R, Pisano, F, Mazzini, L, Messina, S, D'Alfonso, S, Corrado, L, Ferrucci, L, Harms, M, Goldstein, D, Shneider, N, Goutman, S, Simmons, Z, Miller, T, Chandran, S, Pal, S, Manousakis, G, Appel, S, Simpson, E, Wang, L, Baloh, R, Gibson, S, Bedlack, R, Lacomis, D, Sareen, D, Sherman, A, Bruijn, L, Penny, M, Moreno, C, Kamalakaran, S, Allen, A, Boone, B, Brown, R, Carulli, J, Chesi, A, Chung, W, Cirulli, E, Cooper, G, Couthouis, J, Day-Williams, A, Dion, P, Gitler, A, Glass, J, Han, Y, Harris, T, Hayes, S, Jones, A, Keebler, J, Krueger, B, Lasseigne, B, Levy, S, Lu, Y, Maniatis, T, McKenna-Yasek, D, Myers, R, Petrovski, S, Pulst, S, Raphael, A, Ravits, J, Ren, Z, Rouleau, G, Sapp, P, Sims, K, Staropoli, J, Waite, L, Wang, Q, Wimbish, J, Xin, W, Phatnani, H, Kwan, J, Broach, J, Arcila-Londono, X, Lee, E, Van Deerlin, V, Fraenkel, E, Ostrow, L, Baas, F, Zaitlen, N, Berry, J, Malaspina, A, Fratta, P, Cox, G, Thompson, L, Finkbeiner, S, Dardiotis, E, Hornstein, E, Macgowan, D, Heiman-Patterson, T, Hammell, M, Patsopoulos, N, Dubnau, J, Nath, A, Musunuri, R, Evani, U, Abhyankar, A, Zody, M, Kaye, J, Wyman, S, Lenail, A, Lima, L, Rothstein, J, Svendsen, C, Van Eyk, J, Maragakis, N, Kolb, S, Cudkowicz, M, Baxi, E, Benatar, M, Taylor, J, Wu, G, Rampersaud, E, Wuu, J, Rademakers, R, Züchner, S, Schule, R, Mccauley, J, Hussain, S, Cooley, A, Wallace, M, Clayman, C, Barohn, R, Statland, J, Swenson, A, Jackson, C, Trivedi, J, Khan, S, Katz, J, Jenkins, L, Burns, T, Gwathmey, K, Caress, J, Mcmillan, C, Elman, L, Pioro, E, Heckmann, J, So, Y, Walk, D, Maiser, S, Zhang, J, Silani, V, Gellera, C, Ratti, A, Taroni, F, Lauria, G, Verde, F, Fogh, I, Tiloca, C, Comi, G, Sorarù, G, Cereda, C, De Marchi, F, Corti, S, Ceroni, M, Siciliano, G, Filosto, M, Inghilleri, M, Peverelli, S, Colombrita, C, Poletti, B, Maderna, L, Del Bo, R, Gagliardi, S, Querin, G, Bertolin, C, Pensato, V, Castellotti, B, Camu, W, Mouzat, K, Lumbroso, S, Corcia, P, Meininger, V, Besson, G, Lagrange, E, Clavelou, P, Guy, N, Couratier, P, Vourch, P, Danel, V, Bernard, E, Lemasson, G, Laaksovirta, H, Myllykangas, L, Jansson, L, Valori, M, Ealing, J, Hamdalla, H, Rollinson, S, Pickering-Brown, S, Orrell, R, Sidle, K, Hardy, J, Singleton, A, Johnson, J, Arepalli, S, Polak, M, Asress, S, Al-Sarraj, S, King, A, Troakes, C, Vance, C, de Belleroche, J, ten Asbroek, A, Muñoz-Blanco, J, Hernandez, D, Ding, J, Gibbs, J, Scholz, S, Floeter, M, Campbell, R, Landi, F, Bowser, R, Kirby, J, Pamphlett, R, Gerhard, G, Dunckley, T, Brady, C, Kowall, N, Troncoso, J, Le Ber, I, Kamel, F, Van Den Bosch, L, Strom, T, Meitinger, T, Shatunov, A, Van Eijk, K, de Carvalho, M, Kooyman, M, Middelkoop, B, Moisse, M, Mclaughlin, R, Van Es, M, Weber, M, Boylan, K, Van Blitterswijk, M, Morrison, K, Basak, A, Mora, J, Drory, V, Shaw, P, Turner, M, Talbot, K, Hardiman, O, Williams, K, Fifita, J, Nicholson, G, Blair, I, Esteban-Pérez, J, García-Redondo, A, Al-Chalabi, A, Al Kheifat, A, Andersen, P, Chio, A, Cooper-Knock, J, Dekker, A, Redondo, A, Gotkine, M, Hide, W, Iacoangeli, A, Kiernan, M, Landers, J, Mill, J, Neto, M, Pardina, J, Newhouse, S, Pinto, S, Pulit, S, Robberecht, W, Shaw, C, Sproviero, W, Tazelaar, G, van Damme, P, van den Berg, L, van Eijk, K, van Es, M, Veldink, J, Zatz, M, Bauer, D, Twine, N, Rogaeva, E, Zinman, L, Brice, A, Feldman, E, Ludolph, A, Weishaupt, J, Trojanowski, J, Stone, D, Tienari, P, Chiò, A, Traynor, B, Nicolas, Aude, Kenna, Kevin P, Renton, Alan E, Ticozzi, Nicola, Faghri, Faraz, Chia, Ruth, Dominov, Janice A, Kenna, Brendan J, Nalls, Mike A, Keagle, Pamela, Rivera, Alberto M, van Rheenen, Wouter, Murphy, Natalie A, van Vugt, Joke J F A, Geiger, Joshua T, Van der Spek, Rick A, Pliner, Hannah A, Shankaracharya, Null, Smith, Bradley N, Marangi, Giuseppe, Topp, Simon D, Abramzon, Yevgeniya, Gkazi, Athina Soragia, Eicher, John D, Kenna, Aoife, Mora, Gabriele, Calvo, Andrea, Mazzini, Letizia, Riva, Nilo, Mandrioli, Jessica, Caponnetto, Claudia, Battistini, Stefania, Volanti, Paolo, La Bella, Vincenzo, Conforti, Francesca L, Borghero, Giuseppe, Messina, Sonia, Simone, Isabella L, Trojsi, Francesca, Salvi, Fabrizio, Logullo, Francesco O, D'Alfonso, Sandra, Corrado, Lucia, Capasso, Margherita, Ferrucci, Luigi, Logullo, Fo, Murru, Mr, Marrosu, Mg, Conforti, Fl, Pinter, Gl, Tedeschi, Gioacchino, Monsurrò, Maria Rosaria, Parish, Ld, Cau, Tb, Moreno, Cristiane de Araujo Martin, Kamalakaran, Sitharthan, Goldstein, David B, Gitler, Aaron D, Harris, Tim, Myers, Richard M, Phatnani, Hemali, Musunuri, Rajeeva Lochan, Evani, Uday Shankar, Abhyankar, Avinash, Zody, Michael C, Kaye, Julia, Finkbeiner, Steven, Wyman, Stacia K, Lenail, Alex, Lima, Leandro, Fraenkel, Ernest, Svendsen, Clive N, Thompson, Leslie M, Van Eyk, Jennifer E, Berry, James D, Miller, Timothy M, Kolb, Stephen J, Cudkowicz, Merit, Baxi, Emily, Benatar, Michael, Taylor, J Paul, Rampersaud, Evadnie, Wu, Gang, Wuu, Joanne, Lauria, Giuseppe, Verde, Federico, Fogh, Isabella, Tiloca, Cinzia, Comi, Giacomo P, Sorarù, Gianni, Cereda, Cristina, Corcia, Philippe, Laaksovirta, Hannu, Myllykangas, Liisa, Jansson, Lilja, Valori, Miko, Ealing, John, Hamdalla, Hisham, Rollinson, Sara, Pickering-Brown, Stuart, Orrell, Richard W, Sidle, Katie C, Malaspina, Andrea, Hardy, John, Singleton, Andrew B, Johnson, Janel O, Arepalli, Sampath, Sapp, Peter C, McKenna-Yasek, Diane, Polak, Meraida, Asress, Seneshaw, Al-Sarraj, Safa, King, Andrew, Troakes, Claire, Vance, Caroline, de Belleroche, Jacqueline, Baas, Frank, Ten Asbroek, Anneloor L M A, Muñoz-Blanco, José Lui, Hernandez, Dena G, Ding, Jinhui, Gibbs, J Raphael, Scholz, Sonja W, Floeter, Mary Kay, Campbell, Roy H, Landi, Francesco, Bowser, Robert, Pulst, Stefan M, Ravits, John M, Macgowan, Daniel J L, Kirby, Janine, Pioro, Erik P, Pamphlett, Roger, Broach, Jame, Gerhard, Glenn, Dunckley, Travis L, Brady, Christopher B, Kowall, Neil W, Troncoso, Juan C, Le Ber, Isabelle, Mouzat, Kevin, Lumbroso, Serge, Heiman-Patterson, Terry D, Kamel, Freya, Van Den Bosch, Ludo, Baloh, Robert H, Strom, Tim M, Meitinger, Thoma, Shatunov, Aleksey, Van Eijk, Kristel R, de Carvalho, Mamede, Kooyman, Maarten, Middelkoop, Ba, Moisse, Matthieu, Mclaughlin, Russell L, Van Es, Michael A, Weber, Marku, Boylan, Kevin B, Van Blitterswijk, Marka, Rademakers, Rosa, Morrison, Karen E, Basak, A Nazli, Mora, Jesús S, Drory, Vivian E, Shaw, Pamela J, Turner, Martin R, Talbot, Kevin, Hardiman, Orla, Williams, Kelly L, Fifita, Jennifer A, Nicholson, Garth A, Blair, Ian P, Rouleau, Guy A, Esteban-Pérez, Jesú, García-Redondo, Alberto, Al-Chalabi, Ammar, Rogaeva, Ekaterina, Zinman, Lorne, Ostrow, Lyle W, Maragakis, Nicholas J, Rothstein, Jeffrey D, Simmons, Zachary, Cooper-Knock, Johnathan, Brice, Alexi, Goutman, Stephen A, Feldman, Eva L, Gibson, Summer B, Taroni, Franco, Ratti, Antonia, Gellera, Cinzia, Van Damme, Philip, Robberecht, Wim, Fratta, Pietro, Sabatelli, Mario, Lunetta, Christian, Ludolph, Albert C, Andersen, Peter M, Weishaupt, Jochen H, Camu, William, Trojanowski, John Q, Van Deerlin, Vivianna M, Brown, Robert H, van den Berg, Leonard H, Veldink, Jan H, Harms, Matthew B, Glass, Jonathan D, Stone, David J, Tienari, Pentti, Silani, Vincenzo, Chiò, Adriano, Shaw, Christopher E, Traynor, Bryan J, Landers, John E, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)

Subjects
Male, Als gene, Genome-wide association study, FAMILIAL ALS, ALS, axonal transport, cargo, GWAS, KIF5A, WES, WGS, 0302 clinical medicine, 80 and over, Psychology, Aetiology, Aged, 80 and over, 0303 health sciences, French ALS Consortium, Kinesin, KINESIN HEAVY-CHAIN, Cognitive Sciences, Human, Hereditary spastic paraplegia, Neuroscience(all), Single-nucleotide polymorphism, TARGETED DISRUPTION, Article, 03 medical and health sciences, Genetics, Humans, Amino Acid Sequence, Loss function, Aged, HEXANUCLEOTIDE REPEAT, Neuroscience (all), MUTATIONS, Amyotrophic Lateral Sclerosis, 3112 Neurosciences, 1702 Cognitive Science, medicine.disease, ITALSGEN Consortium, Answer ALS Foundation, 030104 developmental biology, ALS Sequencing Consortium, Human medicine, 1109 Neurosciences, 030217 neurology & neurosurgery, 0301 basic medicine, [SDV]Life Sciences [q-bio], Kinesins, Neurodegenerative, Genetic analysis, Genome, AMYOTROPHIC-LATERAL-SCLEROSIS, 3124 Neurology and psychiatry, Cohort Studies, Pathogenesis, Loss of Function Mutation, Missense mutation, 2.1 Biological and endogenous factors, Amyotrophic lateral sclerosis, NYGC ALS Consortium, General Neuroscience, ALS, axonal transport, cargo, GWAS, KIF5A, WES, WGS, Middle Aged, Phenotype, Settore MED/26 - NEUROLOGIA, Neurological, Project MinE ALS Sequencing Consortium, Female, Adult, Biology, GENOTYPE IMPUTATION, Genome-Wide Association Study, Young Adult, NO, Rare Diseases, medicine, SLAGEN Consortium, Gene, 030304 developmental biology, Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium, Neurology & Neurosurgery, Human Genome, Neurosciences, AXONAL-TRANSPORT, Brain Disorders, Family member, DNA-DAMAGE, MOTOR-NEURONS, 3111 Biomedicine, Cohort Studie, Genomic Translation for ALS Care (GTAC) Consortium, Amyotrophic Lateral Sclerosi
Abstract

© 2018 Elsevier Inc., To identify novel genes associated with ALS, we undertook two lines of investigation. We carried out a genome-wide association study comparing 20,806 ALS cases and 59,804 controls. Independently, we performed a rare variant burden analysis comparing 1,138 index familial ALS cases and 19,494 controls. Through both approaches, we identified kinesin family member 5A (KIF5A) as a novel gene associated with ALS. Interestingly, mutations predominantly in the N-terminal motor domain of KIF5A are causative for two neurodegenerative diseases: hereditary spastic paraplegia (SPG10) and Charcot-Marie-Tooth type 2 (CMT2). In contrast, ALS-associated mutations are primarily located at the C-terminal cargo-binding tail domain and patients harboring loss-of-function mutations displayed an extended survival relative to typical ALS cases. Taken together, these results broaden the phenotype spectrum resulting from mutations in KIF5A and strengthen the role of cytoskeletal defects in the pathogenesis of ALS.

Published
2018

8. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences1

Author

Edward Kong, Pascal Timshel, Danielle Posthuma, Tõnu Esko, Maël Lebreton, Kathleen Mullan Harris, Philipp Koellinger, Murray B. Stein, Abraham A. Palmer, Urs Fischbacher, Robert J. Ursano, Erdogan Taskesen, Peter Eibich, Paul R. H. J. Timmers, Anke R. Hammerschlag, Ann H. Caplin, Jian Yang, Sandra Sanchez-Roige, Peter K. Joshi, Matthias Sutter, Pierre Fontanillas, Chia-Yen Chen, Albert Hofman, Patrick Turley, David A. Hinds, Futao Zhang, David Cesarini, Christina M. Lill, Laura Buzdugan, Ville Karhunen, Abdel Abdellaoui, S. Fleur W. Meddens, Henning Tiemeier, Christian L. Zund, Gert G. Wagner, Richard Karlsson Linnér, Lars Bertram, David W. Clark, Roy Thurik, André G. Uitterlinden, Maciej Trzaskowski, Mohammad Arfan Ikram, David Laibson, Cornelius A. Rietveld, Arcadi Navarro, Ernst Fehr, Yang Wu, Matthew B. McQueen, Ronald C. Kessler, Magnus Johannesson, Patrick J. F. Groenen, Gregor Hasler, James F. Wilson, Daniel Schunk, Stephen P. Tino, Pietro Biroli, Mark Alan Fontana, Juan R. González, Meena Kumari, Gerardus A. Meddens, Jonathan P. Beauchamp, Michelle N. Meyer, Jason D. Boardman, James J. Lee, Carlos Morcillo-Suarez, Aaron Kleinman, Minna Männikkö, Andrew Conlin, Adam Auton, Tune H. Pers, Michel G. Nivard, Ronald de Vlaming, Jon White, Robert Karlsson, Daniel J. Benjamin, Maarten Kooyman, Jacob Gratten, Aysu Okbay, Remy Z. Levin, Melissa C. Smart, Harriet de Wit, Conor C. Dolan, Frank J. A. van Rooij, Patrik K. E. Magnusson, Sonia Jain, Rauli Svento, Klaus M. Schmidt, Dorret I. Boomsma, Gerard Muntané, James MacKillop, Robbee Wedow, and Yanchun Bao

Subjects
Genetics, 0303 health sciences, Gabaergic neurotransmission, Single-nucleotide polymorphism, Genome-wide association study, Biology, Phenotype, 03 medical and health sciences, 0302 clinical medicine, SNP, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

Humans vary substantially in their willingness to take risks. In a combined sample of over one million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. We identified 611 approximately independent genetic loci associated with at least one of our phenotypes, including 124 with general risk tolerance. We report evidence of substantial shared genetic influences across general risk tolerance and risky behaviors: 72 of the 124 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is moderately to strongly genetically correlated (to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near general-risk-tolerance-associated SNPs are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We find no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.

Published
2018
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9. Genome-wide association analysis on five isolated populations identifies variants of the HLA-DOA gene associated with white wine liking

Author

Sara M. Willems, Lennart C. Karssen, Antonietta Robino, Cornelia M. van Duijn, Michela Traglia, Cinzia Sala, Maarten Kooyman, Nicola Pirastu, Giorgio Pistis, Paolo Gasparini, Daniela Toniolo, Najaf Amin, Pirastu, Nicola, Kooyman, Maarten, Traglia, Michela, Robino, Antonietta, Willems, Sara M., Pistis, Giorgio, Amin, Najaf, Sala, Cinzia, Karssen, Lennart C., Van Duijn, Cornelia M., Toniolo, Daniela, Gasparini, Paolo, and Epidemiology

Subjects
Adult, Male, Taste, Aged, Case-Control Studies, Female, HLA-D Antigens, Humans, Middle Aged, Food Preferences, Polymorphism, Single Nucleotide, Wine, Genetics, Genetics (clinical), Food Preference, Context (language use), Biology, Major histocompatibility complex, Article, Genetic, Polymorphism (computer science), HLA-D Antigen, Polymorphism, Gene, Case-control study, Single Nucleotide, White Wine, biology.protein, Case-Control Studie, Human
Abstract

Wine is the most popular alcoholic beverage around the world and because of its importance in society has been widely studied. Understanding what drives its flavor has been a quest for decades but much is still unknown and will be determined at least in part by individual taste preferences. Recently studies in the genetics of taste have uncovered the role of different genes in the determination of food preferences giving new insight on its physiology. In this context we have performed a genome-wide association study on red and white wine liking using three isolated populations collected in Italy, and replicated our results on two additional populations coming from the Netherland and Central Asia for a total of 3885 samples. We have found a significant association (P = 2.1 x 10(-8)) between white wine liking and rs9276975:C>T a polymorphism in the HLA-DOA gene encoding a non-canonical MHC II molecule, which regulates other MHC II molecules. The same association was also found with red wine liking (P = 8.3 x 10(-6)). Sex-separated analysis have also revealed that the effect of HLA-DOA is twice as large in women as compared to men suggesting an interaction between this polymorphism and gender. Our results are one of the first examples of genome-wide association between liking of a commonly consumed food and gene variants. Moreover, our results suggest a role of the MHC system in the determination of food preferences opening new insight in this field in general.

Published
2015

10. Project MinE: study design and pilot analyses of a large-scale whole genome sequencing study in amyotrophic lateral sclerosis

Author

Matthieu Moisse, Jesus S. Mora, Philip Van Damme, Annelot M. Dekker, Michael A. van Es, Gijs H.P. Tazelaar, William Sproviero, Pamela J. Shaw, Ammar Al-Chalabi, Leonard H. van den Berg, Christopher Shaw, Sara L. Pulit, Bas M. Middelkoop, Orla Hardiman, Kristel R. van Eijk, Wouter van Rheenen, A. Nazli Basak, Perry T.C. van Doormaal, Raymond D. Schellevis, Ahmad Al Khleifat, Ersen Kavak, Wim Robberecht, Karen E. Morrison, Jonathan D. Glass, Maarten Kooyman, Alfredo Iacoangeli, John E. Landers, William J. Brands, Russell L. McLaughlin, Jan H. Veldink, Stephen Newhouse, Kevin P. Kenna, Aleksey Shatunov, Winston Hide, Rick A.A. van der Spek, and Joke J.F.A. van Vugt

Subjects
Whole genome sequencing, 0303 health sciences, Project MinE, Computational biology, Biology, Bioinformatics, medicine.disease, 3. Good health, Minor allele frequency, 03 medical and health sciences, 0302 clinical medicine, Data sequences, Genetic variation, Genetic predisposition, medicine, Amyotrophic lateral sclerosis, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility of disease. We have therefore begun Project MinE, an international collaboration that seeks to analyse whole-genome sequence data of at least 15,000 ALS patients and 7,500 controls. Here, we report on the design of Project MinE and pilot analyses of newly whole-genome sequenced 1,264 ALS patients and 611 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1 %), the vast majority of which is absent in public data sets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.

Published
2017

11. Non-additive genome-wide association scan reveals a new gene associated with habitual coffee consumption

Author

Maarten Kooyman, Cornelia M. van Duijn, Lennart C. Karssen, Luciano Navarini, Antonietta Robino, Paolo Gasparini, Najaf Amin, Ashley van der Spek, Nicola Pirastu, Epidemiology, Pirastu, Nicola, Kooyman, Maarten, Robino, Antonietta, Van Der Spek, Ashley, Navarini, Luciano, Amin, Najaf, Karssen, Lennart C., Van Duijn, Cornelia M., and Gasparini, Paolo

Subjects
Adult, Male, 0301 basic medicine, Genotype, Drinking Behavior, Single-nucleotide polymorphism, Biology, Coffee, Polymorphism, Single Nucleotide, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Caffeine, Gene expression, Genetic model, Humans, Enhancer, Gene, Genetics, Alkyl and Aryl Transferases, Multidisciplinary, Mechanism (biology), Gene Expression Profiling, Middle Aged, Gene expression profiling, 030104 developmental biology, Expression quantitative trait loci, Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Coffee is one of the most consumed beverages world-wide and one of the primary sources of caffeine intake. Given its important health and economic impact, the underlying genetics of its consumption has been widely studied. Despite these efforts, much has still to be uncovered. In particular, the use of non-additive genetic models may uncover new information about the genetic variants driving coffee consumption. We have conducted a genome-wide association study in two Italian populations using additive, recessive and dominant models for analysis. This has uncovered a significant association in the PDSS2 gene under the recessive model that has been replicated in an independent cohort from the Netherlands (ERF). The identified gene has been shown to negatively regulate the expression of the caffeine metabolism genes and can thus be linked to coffee consumption. Further bioinformatics analysis of eQTL and histone marks from Roadmap data has evidenced a possible role of the identified SNPs in regulating PDSS2 gene expression through enhancers present in its intron. Our results highlight a novel gene which regulates coffee consumption by regulating the expression of the genes linked to caffeine metabolism. Further studies will be needed to clarify the biological mechanism which links PDSS2 and coffee consumption.

Published
2016

12. JAG: A Computational Tool to Evaluate the Role of Gene-Sets in Complex Traits

Author

Danielle Posthuma, Christiaan de Leeuw, Esther S. Lips, Maarten Kooyman, Complex Trait Genetics, and Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease

Subjects
Genetics, Linkage disequilibrium, genetic association, lcsh:QH426-470, Data Science, Single-nucleotide polymorphism, Genome-wide association study, Biology, Article, pathway analysis, Set (abstract data type), Permutation, lcsh:Genetics, Sample size determination, gene-set analysis, GWAS, Gene, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Genetics (clinical), Genetic association, biological pathway
Abstract

Gene-set analysis has been proposed as a powerful tool to deal with the highly polygenic architecture of complex traits, as well as with the small effect sizes typically found in GWAS studies for complex traits. We developed a tool, Joint Association of Genetic variants (JAG), which can be applied to Genome Wide Association (GWA) data and tests for the joint effect of all single nucleotide polymorphisms (SNPs) located in a user-specified set of genes or biological pathway. JAG assigns SNPs to genes and incorporates self-contained and/or competitive tests for gene-set analysis. JAG uses permutation to evaluate gene-set significance, which implicitly controls for linkage disequilibrium, sample size, gene size, the number of SNPs per gene and the number of genes in the gene-set. We conducted a power analysis using the Wellcome Trust Case Control Consortium (WTCCC) Crohn’s disease data set and show that JAG correctly identifies validated gene-sets for Crohn’s disease and has more power than currently available tools for gene-set analysis. JAG is a powerful, novel tool for gene-set analysis, and can be freely downloaded from the CTG Lab website.

Published
2015

13. Association analysis of bitter receptor genes in five isolated populations identifies a significant correlation between TAS2R43 variants and coffee liking

Author

Luciano Navarini, Angela D'Eustacchio, Giorgio Pistis, Michela Traglia, Cornelia M. van Duijn, Pio D'Adamo, Maarten Kooyman, Sara M. Willems, Cinzia Sala, Paolo Gasparini, Daniela Toniolo, Najaf Amin, Antonietta Robino, Nicola Pirastu, Lennart C. Karssen, Epidemiology, Pirastu, Nicola, Kooyman, M, Traglia, Michela, Robino, A, Willems, Sm, Pistis, G, D'Adamo, ADAMO PIO, Amin, N, D'Eustacchio, A, Navarini, L, Sala, C, Karssen, Lc, van Duijn, C, Toniolo, D, and Gasparini, Paolo

Subjects
Taste, Anatomy and Physiology, 030309 nutrition & dietetics, Epidemiology, lcsh:Medicine, Genome-wide association study, Single-nucleotide polymorphism, Biology, association study, Coffee, Polymorphism, Single Nucleotide, Receptors, G-Protein-Coupled, 03 medical and health sciences, chemistry.chemical_compound, Polymorphism (computer science), Genetics, SNP, Humans, lcsh:Science, Genetic Association Studies, 030304 developmental biology, Genetic association, 0303 health sciences, Multidisciplinary, Population Biology, Haplotype, lcsh:R, Human Genetics, chemistry, Genetic Epidemiology, Genetic Polymorphism, Sensory Perception, lcsh:Q, Caffeine, Digestive System, Population Genetics, Research Article, Neuroscience
Abstract

Coffee, one of the most popular beverages in the world, contains many different physiologically active compounds with a potential impact on people's health. Despite the recent attention given to the genetic basis of its consumption, very little has been done in understanding genes influencing coffee preference among different individuals. Given its markedly bitter taste, we decided to verify if bitter receptor genes (TAS2Rs) variants affect coffee liking. In this light, 4066 people from different parts of Europe and Central Asia filled in a field questionnaire on coffee liking. They have been consequently recruited and included in the study. Eighty-eight SNPs covering the 25 TAS2R genes were selected from the available imputed ones and used to run association analysis for coffee liking. A significant association was detected with three SNP: one synonymous and two functional variants (W35S and H212R) on the TAS2R43 gene. Both variants have been shown to greatly reduce in vitro protein activity. Surprisingly the wild type allele, which corresponds to the functional form of the protein, is associated to higher liking of coffee. Since the hTAS2R43 receptor is sensible to caffeine, we verified if the detected variants produced differences in caffeine bitter perception on a subsample of people coming from the FVG cohort. We found a significant association between differences in caffeine perception and the H212R variant but not with the W35S, which suggests that the effect of the TAS2R43 gene on coffee liking is mediated by caffeine and in particular by the H212R variant. No other significant association was found with other TAS2R genes. In conclusion, the present study opens new perspectives in the understanding of coffee liking. Further studies are needed to clarify the role of the TAS2R43 gene in coffee hedonics and to identify which other genes and pathways are involved in its genetics.

Published
2014

14. The PinkThing for analysing ChIP profiling data in their genomic context

Author

Martijn A. Huynen, Henk Stunnenberg, Hendrik Marks, Philip R. Kensche, Maarten Kooyman, and Fiona G. G. Nielsen

Subjects
Genetics, Medicine(all), Chromatin Immunoprecipitation, Binding Sites, Cohesin, Chromosomal Proteins, Non-Histone, Biochemistry, Genetics and Molecular Biology(all), Cell Cycle Proteins, Genomics, General Medicine, Computational biology, ChIP-on-chip, Biology, General Biochemistry, Genetics and Molecular Biology, ChIP-sequencing, DNA binding site, CpG site, Technical Note, Energy and redox metabolism Mitochondrial medicine [NCMLS 4], Chromatin immunoprecipitation, Gene, Molecular Biology, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Protein Binding
Abstract

Contains fulltext : 117274.pdf (Publisher’s version ) (Open Access) Contains fulltext : 185459.pdf (Publisher’s version ) (Open Access) BACKGROUND: Current epigenetic research makes frequent use of whole-genome ChIP profiling for determining the in vivo binding of proteins, e.g. transcription factors and histones, to DNA. Two important and recurrent questions for these large scale analyses are: 1) What is the genomic distribution of a set of binding sites? and 2) Does this genomic distribution differ significantly from another set of sites? FINDINGS: We exemplify the functionality of the PinkThing by analysing a ChIP profiling dataset of cohesin binding sites. We show the subset of cohesin sites with no CTCF binding have a characteristic genomic distribution different from the set of all cohesin sites. CONCLUSIONS: The PinkThing is a web application for fast and easy analysis of the context of genomic loci, such as peaks from ChIP profiling experiments. The output of the PinkThing analysis includes: categorisation of position relative to genes (intronic, exonic, 5' near, 3' near 5' far, 3' far and distant), distance to the closest annotated 3' and 5' end of genes, direction of transcription of the nearest gene, and the option to include other genomic elements like ESTs and CpG islands. The PinkThing enables easy statistical comparison between experiments, i.e. experimental versus background sets, reporting over- and underrepresentation as well as p-values for all comparisons. Access and use of the PinkThing is free and open (without registration) to all users via the website: http://pinkthing.cmbi.ru.nl

Published
2013

15. MetiTree: A web application to organize and process high-resolution multi-stage mass spectrometry metabolomics data

Author

Thomas Hankemeier, Michael van Vliet, Miguel Rojas-Chertó, Theo H. Reijmers, Ronnie van Doorn, Maarten Kooyman, Tim A. H. te Beek, Julio E. Peironcely, and Marc A. van Driel

Subjects
Statistics and Probability, Matching (statistics), Process (engineering), Computer science, Databases and Ontologies, Biomedical Innovation, Mass spectrometry, computer.software_genre, Biochemistry, Mass Spectrometry, Task (project management), Market fragmentation, Metabolomics, Life, Web application, Molecular Biology, Nutrition, Internet, business.industry, Computer Science Applications, Applications Note, Computational Mathematics, Identification (information), Tree (data structure), Computational Theory and Mathematics, Data mining, QS - Quality & Safety, EELS - Earth, Environmental and Life Sciences, business, computer, Healthy Living, Software
Abstract

Summary: Identification of metabolites using high-resolution multi-stage mass spectrometry (MSn) data is a significant challenge demanding access to all sorts of computational infrastructures. MetiTree is a user-friendly, web application dedicated to organize, process, share, visualize and compare MSn data. It integrates several features to export and visualize complex MSn data, facilitating the exploration and interpretation of metabolomics experiments. A dedicated spectral tree viewer allows the simultaneous presentation of three related types of MSn data, namely, the spectral data, the fragmentation tree and the fragmentation reactions. MetiTree stores the data in an internal database to enable searching for similar fragmentation trees and matching against other MSn data. As such MetiTree contains much functionality that will make the difficult task of identifying unknown metabolites much easier. Availability: MetiTree is accessible at http://www.MetiTree.nl. The source code is available at https://github.com/NetherlandsMetabolomicsCentre/metitree/wiki. Contact: m.rojas@lacdr.leidenuniv.nl or t.reijmers@lacdr.leidenuniv.nl

Published
2012

16. A Genome-Wide Association Study in isolated populations reveals new genes associated to common food likings

Author

Najaf Amin, Lennart C. Karssen, Michela Traglia, Daniela Toniolo, Maarten Kooyman, Sara M. Willems, Cornelia M. van Duijn, Paolo Gasparini, Nicola Pirastu, Cinzia Sala, Giorgio Pistis, Antonietta Robino, Pirastu, Nicola, Kooyman, Maarten, Traglia, Michela, Robino, Antonietta, Willems, Sara M., Pistis, Giorgio, Amin, Najaf, Sala, Cinzia, Karssen, Lennart C., van Duijn, Cornelia, Toniolo, Daniela, Gasparini, Paolo, and Epidemiology

Subjects
0301 basic medicine, Taste, media_common.quotation_subject, Endocrinology, Diabetes and Metabolism, Food choice, Genome-wide association study, Olfaction, Isolated population, Biology, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Taste receptor, Perception, Humans, GWAS, Food consumption, Food preferences, Gene, media_common, Genetics, Isolated populations, Diabetes and Metabolism, Association study, 030104 developmental biology, Human nutrition, Genetic Loci, Food preference, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Food preferences are the first factor driving food choice and thus nutrition. They involve numerous different senses such as taste and olfaction as well as various other factors such as personal experiences and hedonistic aspects. Although it is clear that several of these have a genetic basis, up to now studies have focused mostly on the effects of polymorphisms of taste receptor genes. Therefore, we have carried out one of the first large scale (4611 individuals) GWAS on food likings assessed for 20 specific food likings belonging to 4 different categories (vegetables, fatty, dairy and bitter). A two-step meta-analysis using three different isolated populations from Italy for the discovery step and two populations from The Netherlands and Central Asia for replication, revealed 15 independent genome-wide significant loci (p

17. Analysing patient data off-premises on a national supercomputer

Author

Jasmin K. Böhmer, Luca Santuari, Arnold Kuzniar, Jeroen de Ridder, Lars Ridder, Jaap van Minnen, Rena Bakhshi, Aletta Debernardi, Daphne van Beek, Ymke van den Berg, Maarten Kooyman, and Coen Schrijvers

Subjects
Data Analysis, Cancer Research, Whole Genome Sequencing, DPA, deep learning, ML, Use Case, machine learning, DL, SV caller, Supercomputer, GDPR, Patient Data, WGS, Data Processing Agreement, Data Management
Abstract

"Analysing patient data off-premises on a national supercomputer - Writing a Data Processing Agreement for the Googling the Cancer Genome Project" is a report styled use case that intends to showcase the experiences made by the Googling the Cancer Genome Project (GTCG) and offers suggestions for other researchers that might face the same challenge. The report is accompanied by a PDF with the illustrations. Table of Contents Challenges of processing patient data off premises Data Processing Agreement & Responsible Data Management A step-by-step guide for DPA Lessons learned Further reading Terms and glossary Acknowledgments, This work was supported by the Netherlands eScience Center (Grant Number:027016G03) and was carried out on the Dutch national e-infrastructure with the support of SURF Foundation (NWO Project Number: 16669).

Published
2020
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