Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis (original) (raw)

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Acknowledgements

The work of the contributing groups was supported by various grants from governmental and charitable bodies. Details are provided in the Supplementary Note.

Author information

Author notes

  1. Wouter van Rheenen, Aleksey Shatunov and Cathryn M Lewis: These authors contributed equally to this work.
  2. Ammar Al-Chalabi, Leonard H van den Berg and Jan H Veldink: These authors jointly directed this work.

Authors and Affiliations

  1. Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
    Wouter van Rheenen, Annelot M Dekker, Frank P Diekstra, Rick A A van der Spek, Perry TC van Doormaal, Gijs H P Tazelaar, Max Koppers, Anna M Blokhuis, Kristel R van Eijk, Oliver Harschnitz, Raymond D Schellevis, William J Brands, Jelena Medic, Hylke M Blauw, Michael A van Es, Leonard H van den Berg & Jan H Veldink
  2. Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
    Aleksey Shatunov, Isabella Fogh, William Sproviero, Ashley R Jones, Kuang Lin, Simon Topp, Christopher E Shaw, Bradley N Smith, John Powell & Ammar Al-Chalabi
  3. Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
    Russell L McLaughlin
  4. Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
    Sara L Pulit, Androniki Menelaou & Paul I W de Bakker
  5. Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
    Urmo Võsa & Lude Franke
  6. MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
    Simone de Jong, Charles Curtis, Cathryn M Lewis & Gerome Breen
  7. NIHR Biomedical Research Centre for Mental Health, Maudsley Hospital and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
    Simone de Jong, Charles Curtis & Gerome Breen
  8. Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
    Matthew R Robinson, Jian Yang, Naomi R Wray & Peter M Visscher
  9. Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
    Isabella Fogh, Nicola Ticozzi, Cinzia Tiloca, Antonia Ratti & Vincenzo Silani
  10. Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
    Max Koppers, Anna M Blokhuis, Oliver Harschnitz & R Jeroen Pasterkamp
  11. Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
    Kevin P Kenna, Robert H Brown & John E Landers
  12. Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, Ireland
    Alice Vajda & Orla Hardiman
  13. Department of Neurology, Beaumont Hospital, Dublin, Ireland
    Alice Vajda & Orla Hardiman
  14. Department of Pathophysiology and Tranplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
    Nicola Ticozzi, Antonia Ratti & Vincenzo Silani
  15. Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia
    Boris Rogelj
  16. Biomedical Research Institute BRIS, Ljubljana, Slovenia
    Boris Rogelj
  17. Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
    Katarina Vrabec & Metka Ravnik-Glavač
  18. Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
    Metka Ravnik-Glavač
  19. Ljubljana ALS Centre, Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
    Blaž Koritnik, Janez Zidar, Lea Leonardis & Leja Dolenc Grošelj
  20. Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06, UMRS 1127, Paris, France
    Stéphanie Millecamps & François Salachas
  21. Département de Neurologie, Centre de Référence Maladies Rares SLA Ile de France, Hôpital de la Pitié-Salpêtrière, Paris, France
    François Salachas
  22. GRC-UPMC SLA et Maladies du Motoneurone, Paris, France
    François Salachas
  23. Ramsay Generale de Santé, Hôpital Peupliers, Paris, France
    Vincent Meininger
  24. Réseau SLA Ile de France, Paris, France,
    Vincent Meininger
  25. Institute of Physiology, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
    Mamede de Carvalho & Susana Pinto
  26. Department of Neurosciences, Hospital de Santa Maria–CHLN, Lisbon, Portugal
    Mamede de Carvalho & Susana Pinto
  27. Department of Neurology, Hospital San Rafael, Madrid, Spain
    Jesus S Mora
  28. Neurology Department, Hospital de la Santa Creu i Sant Pau de Barcelona, Autonomous University of Barcelona, Barcelona, Spain
    Ricardo Rojas-García
  29. Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
    Ricardo Rojas-García
  30. Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
    Meraida Polak & Jonathan D Glass
  31. Emory ALS Center, Emory University School of Medicine, Atlanta, Georgia, USA
    Meraida Polak & Jonathan D Glass
  32. Euan MacDonald Centre for Motor Neuron Disease Research, Edinburgh, UK
    Siddharthan Chandran, Shuna Colville & Robert Swingler
  33. Centre for Neuroregeneration and Medical Research Council Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK
    Siddharthan Chandran
  34. Faculty of Medicine, University of Southampton, Southampton, UK
    Karen E Morrison
  35. Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
    Pamela J Shaw
  36. Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
    John Hardy & Alan Pittman
  37. Department of Clinical Neuroscience, Institute of Neurology, University College London, London, UK
    Richard W Orrell & Katie Sidle
  38. Reta Lila Weston Institute, Institute of Neurology, University College London, London, UK
    Alan Pittman
  39. Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, UK
    Pietro Fratta
  40. Centre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, London, UK
    Andrea Malaspina
  41. North-East London and Essex Regional Motor Neuron Disease Care Centre, London, UK
    Andrea Malaspina
  42. Department of Neurology, Hannover Medical School, Hannover, Germany
    Susanne Petri
  43. Department of Neurology, Otto von Güricke University Magdeburg, Magdeburg, Germany
    Susanne Abdulla
  44. Institute of Clinical Neurobiology, University Hospital Würzburg, Würzburg, Germany
    Carsten Drepper & Michael Sendtner
  45. Department of Neurology, Charité University Hospital, Humboldt University, Berlin, Germany
    Thomas Meyer
  46. Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, the Netherlands
    Roel A Ophoff
  47. Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
    Roel A Ophoff
  48. Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA
    Roel A Ophoff & Kim A Staats
  49. Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
    Martina Wiedau-Pazos
  50. Department of Neurology, University of California, San Francisco, San Francisco, California, USA
    Catherine Lomen-Hoerth
  51. Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
    Vivianna M Van Deerlin & John Q Trojanowski
  52. Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
    Lauren Elman & Leo McCluskey
  53. Neurodegeneration Research Laboratory, Boǧaziçi University, Istanbul, Turkey
    A Nazli Basak, Ceren Tunca & Hamid Hamzeiy
  54. Neurology Department, Istanbul Medical School, Istanbul University, Istanbul, Turkey
    Yesim Parman
  55. Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
    Thomas Meitinger, Peter Lichtner & Milena Radivojkov-Blagojevic
  56. INSERM U930, Université François Rabelais, Tours, France
    Christian R Andres, Cindy Maurel, Philippe Corcia & Patrick Vourc'h
  57. Département de Pharmacologie Clinique, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
    Gilbert Bensimon & Christine A M Payan
  58. UPMC, Pharmacologie, Paris VI, Paris, France
    Gilbert Bensimon
  59. BESPIM, CHU de Nîmes, Nîmes, France
    Gilbert Bensimon & Christine A M Payan
  60. Department of Neurology, Ulm University, Ulm, Germany
    Bernhard Landwehrmeyer, Albert C Ludolph, Jochen H Weishaupt & Peter M Andersen
  61. INSERM U1127, Hôpital de la Pitié-Salpêtrière, Paris, France
    Alexis Brice
  62. CNRS UMR 7225, Hôpital de la Pitié-Salpêtrière, Paris, France
    Alexis Brice
  63. Sorbonne Universités, UPMC Paris 06, UMRS 1127, Hôpital de la Pitié-Salpêtrière, Paris, France
    Alexis Brice
  64. Institut du Cerveau et de la Moelle Epinière, Hôpital de la Pitié-Salpêtrière, Paris, France
    Alexis Brice
  65. Département de Génétique, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
    Alexis Brice
  66. Genethon, CNRS UMR 8587, Evry, France
    Safaa Saker-Delye
  67. Department of Medical Genetics, Institut du Cerveau et de la Moelle Epinière, Hôptial Pitié-Salpêtrière, Paris, France
    Alexandra Dürr
  68. Department of Neurogenetics, Institute of Neurology, University College London, London, UK
    Nicholas W Wood
  69. PopGen Biobank and Institute of Epidemiology, Christian Albrechts University Kiel, Kiel, Germany
    Lukas Tittmann & Wolfgang Lieb
  70. Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
    Andre Franke
  71. Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Heidelberg, Germany
    Marcella Rietschel
  72. Institute of Human Genetics, University of Bonn, Bonn, Germany
    Sven Cichon & Markus M Nöthen
  73. Department of Genomics, Life and Brain Center, Bonn, Germany
    Sven Cichon & Markus M Nöthen
  74. Division of Medical Genetics, University Hospital Basel, University of Basel, Basel, Switzerland
    Sven Cichon
  75. Department of Biomedicine, University of Basel, Basel, Switzerland
    Sven Cichon
  76. Institute of Neuroscience and Medicine INM-1, Research Center Juelich, Juelich, Germany
    Sven Cichon
  77. University of Lille, INSERM, CHU de Lille, Institut Pasteur de Lille, U1167-RID-AGE Risk Factor and Molecular Determinants of Aging Diseases, Lille, France
    Philippe Amouyel
  78. Bordeaux University, ISPED, Centre INSERM U1219–Epidemiologie Biostatistique et CIC-1401, CHU de Bordeaux, Pôle de Santé Publique, Bordeaux, France
    Christophe Tzourio & Jean-François Dartigues
  79. Department of Internal Medicine, Genetics Laboratory, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
    Andre G Uitterlinden, Fernando Rivadeneira & Karol Estrada
  80. Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
    Andre G Uitterlinden, Fernando Rivadeneira & Albert Hofman
  81. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
    Albert Hofman
  82. Department of Neurology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
    Anneke J van der Kooi & Marianne de Visser
  83. Department of Neurosciences, Experimental Neurology, Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven–University of Leuven, Leuven, Belgium
    An Goris, Wim Robberecht & Philip Van Damme
  84. Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
    Markus Weber
  85. Laboratory of Experimental Neurobiology, IRCCS 'C. Mondino' National Institute of Neurology Foundation, Pavia, Italy
    Orietta Pansarasa & Cristina Cereda
  86. Neurologic Unit, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
    Roberto Del Bo & Giacomo P Comi
  87. Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases, Università del Piemonte Orientale, Novara, Italy
    Sandra D'Alfonso
  88. Department of Neurosciences, University of Padova, Padova, Italy
    Cinzia Bertolin & Gianni Sorarù
  89. Department of Neurology, Università del Piemonte Orientale, Novara, Italy
    Letizia Mazzini
  90. Unit of Genetics of Neurodegenerative and Metabolic Diseases, Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Milan, Italy
    Viviana Pensato & Cinzia Gellera
  91. 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
    Andrea Calvo, Cristina Moglia, Maura Brunetti, Federico Casale & Adriano Chio
  92. Azienda Ospedaliera Città della Salute e della Scienza, Turin, Italy
    Andrea Calvo, Cristina Moglia, Maura Brunetti & Adriano Chio
  93. Department of Clinical Research in Neurology, University of Bari 'A. Moro' at Pia Fondazione 'Card. G. Panico', Tricase, Italy
    Simona Arcuti, Rosa Capozzo, Chiara Zecca & Rosanna Tortelli
  94. NEMO Clinical Center, Serena Onlus Foundation, Niguarda Ca' Granda Hostipal, Milan, Italy
    Christian Lunetta
  95. Department of Laboratory Medicine, Medical Genetics Unit, Niguarda Ca' Granda Hospital, Milan, Italy
    Silvana Penco
  96. Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
    Nilo Riva
  97. Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
    Alessandro Padovani & Massimiliano Filosto
  98. Project MinE Foundation, Rotterdam, the Netherlands
    Bernard Muller & Robbert Jan Stuit
  99. Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
    Ian Blair, Katharine Zhang, Emily P McCann, Jennifer A Fifita, Garth A Nicholson & Dominic B Rowe
  100. University of Sydney, ANZAC Research Institute, Concord Hospital, Sydney, New South Wales, Australia
    Garth A Nicholson
  101. Department of Pathology, Stacey MND Laboratory, University of Sydney, Sydney, New South Wales, Australia
    Roger Pamphlett
  102. Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
    Matthew C Kiernan
  103. Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
    Julian Grosskreutz, Otto W Witte, Thomas Ringer, Tino Prell & Beatrice Stubendorff
  104. Institute of Human Genetics, Jena University Hospital, Jena, Germany
    Ingo Kurth & Christian A Hübner
  105. Department of Neurology, Brighton and Sussex Medical School Trafford Centre for Biomedical Research, University of Sussex, Falmer, UK
    P Nigel Leigh
  106. Department of Neuroscience, Laboratory of Neurological Diseases, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
    Ettore Beghi & Elisabetta Pupillo
  107. Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
    Giancarlo Logroscino
  108. Department of Clinical Research in Neurology, Unit of Neurodegenerative Diseases, University of Bari 'Aldo Moro' at Pia Fondazione Cardinale G. Panico, Tricase, Italy
    Giancarlo Logroscino
  109. Vesalius Research Center, Laboratory of Neurobiology, VIB, Leuven, Belgium
    Wim Robberecht & Philip Van Damme
  110. Department of Neurology, University Hospitals Leuven, Leuven, Belgium
    Wim Robberecht & Philip Van Damme
  111. Division of Endocrinology, Boston Children's Hospital, Boston, Massachusetts, USA
    Tune H Pers
  112. Division of Genetics, Boston Children's Hospital, Boston, Massachusetts, USA
    Tune H Pers
  113. Center for Basic Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA
    Tune H Pers
  114. Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
    Tune H Pers
  115. Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
    Tune H Pers
  116. Department of Pharmacology and Clinical Neurosience, Umeå University, Umeå, Sweden
    Peter M Andersen
  117. Centre SLA, CHRU de Tours, Tours, France
    Philippe Corcia
  118. Federation des Centres SLA Tours and Limoges, LITORALS, Tours, France
    Philippe Corcia
  119. Diamantina Institute, University of Queensland Translational Research Institute, Brisbane, Queensland, Australia
    Peter M Visscher
  120. Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
    Paul I W de Bakker
  121. Department of Medical and Molecular Genetics, King's College London, London, UK
    Cathryn M Lewis

Authors

  1. Wouter van Rheenen
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  2. Aleksey Shatunov
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  3. Annelot M Dekker
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  4. Russell L McLaughlin
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  5. Frank P Diekstra
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  6. Sara L Pulit
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  7. Rick A A van der Spek
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  8. Urmo Võsa
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  9. Simone de Jong
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  10. Matthew R Robinson
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  11. Jian Yang
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  12. Isabella Fogh
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  13. Perry TC van Doormaal
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  14. Gijs H P Tazelaar
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  15. Max Koppers
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  16. Anna M Blokhuis
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  17. William Sproviero
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  18. Ashley R Jones
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  19. Kevin P Kenna
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  20. Kristel R van Eijk
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  21. Oliver Harschnitz
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  22. Raymond D Schellevis
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  23. William J Brands
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  24. Jelena Medic
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  25. Androniki Menelaou
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  26. Alice Vajda
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  27. Nicola Ticozzi
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  28. Kuang Lin
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  29. Boris Rogelj
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  30. Katarina Vrabec
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  31. Metka Ravnik-Glavač
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  32. Blaž Koritnik
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  33. Janez Zidar
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  34. Lea Leonardis
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  35. Leja Dolenc Grošelj
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  36. Stéphanie Millecamps
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  37. François Salachas
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  38. Vincent Meininger
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  39. Mamede de Carvalho
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  40. Susana Pinto
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  41. Jesus S Mora
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  42. Ricardo Rojas-García
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  43. Meraida Polak
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  44. Siddharthan Chandran
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  45. Shuna Colville
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  46. Robert Swingler
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Consortia

PARALS Registry

SLALOM Group

SLAP Registry

FALS Sequencing Consortium

SLAGEN Consortium

NNIPPS Study Group

Contributions

A.V., N.T., K.L., B.R., K.V., M.R.-G., B.K., J.Z., L.L., L.D.G., S.M., F.S., V.M., M.d.C., S. Pinto, J.S.M., R.R.-G., M.P., S. Chandran, S. Colville, R.S., K.E.M., P.J.S., J.H., R.W.O., A. Pittman, K.S., P.F., A. Malaspina, S.T., S. Petri, S. Abdulla, C.D., M.S., T. Meyer, R.A.O., K.A.S., M.W.-P., C.L.-H., V.M.V.D., J.Q.T., L.E., L. McCluskey, A.N.B., Y.P., T. Meitinger, P.L., M.R.-B., C.R.A., C. Maurel, G. Bensimon, B.L., A.B., C.A.M.P., S.S.-D., A.D., N.W.W., L.T., W.L., A.F., M.R., S. Cichon, M.M.N., P.A., C. Tzourio, J.-F.D., A.G.U., F.R., K.E., A.H., C. Curtis, H.M.B., A.J.v.d.K., M.d.V., A.G., M.W., C.E.S., B.N.S., O.P., C. Cereda, R.D.B., G.P.C., S.D'A., C.B., G.S., L. Mazzini, V.P., C.G., C. Tiloca, A.R., A. Calvo, C. Moglia, M.B., S. Arcuti, R.C., C.Z., C.L., S. Penco, N.R., A. Padovani, M.F., B.M., R.J.S., PARALS Registry, SLALOM Group, SLAP Registry, FALS Sequencing Consortium, SLAGEN Consortium, NNIPPS Study Group, I.B., G.A.N., D.B.R., R.P., M.C.K., J.G., O.W.W., T.R., B.S., I.K., C.A.H., P.N.L., F.C., A. Chìo, E.B., E.P., R.T., G.L., J.P., A.C.L., J.H.W., W.R., P.V.D., L.F., T.P., R.H.B., J.D.G., J.E.L., O. Hardiman, P.M.A., P.C., P.V., V.S., M.A.v.E., A.A.-C., L.H.v.d.B. and J.H.V. were involved in phenotyping, sample collection and management. W.v.R., A.S., A.M.D., R.L.M., F.P.D., R.A.A.v.d.S., P.T.C.v.D., G.H.P.T., M.K., A.M.B., W.S., A.R.J., K.P.K., I.F., A.V., N.T., R.D.S., W.J.B., A.V., K.V., M.R.-G., B.K., L.L., S. Abdulla, K.S., E.P., F.P.D., J.M., C. Curtis, G. Breen, A.A.-C. and J.H.V. prepared DNA and performed SNP array hybridizations. W.v.R., S.L.P., K.P.K., K.L., A.M.D., P.T.C.v.D., G.H.P.T., K.R.v.E., P.I.W.d.B. and J.H.V. were involved in the next-generation sequencing analyses. W.v.R., K.R.v.E., A. Menelaou, P.I.W.d.B., A.A.-C. and J.H.V. performed the imputation. W.v.R., A.S., F.P.D., R.L.M., S.L.P., S.d.J., I.F., N.T., W.S., A.R.J., K.P.K., K.R.v.E., K.S., H.M.B., P.I.W.d.B., M.A.v.E., C.M.L., G. Breen, A.A.-C., L.H.v.d.B. and J.H.V. performed GWAS analyses. W.v.R., A.M.D., R.A.A.v.d.S., R.L.M., C.R.A., M.K., A.M.B., R.D.S., E.P.M., J.A.F., C. Tunca, H.H., K.Z., P.C., P.V. and J.H.V. performed the replication analyses. W.v.R., A.S., R.L.M., M.R.R., J.Y., N.R.W., P.M.V., C.M.L., A.A.-C. and J.H.V. performed polygenic risk scoring and heritability analyses. S.d.J., U.V., L.F., T.H.P., W.v.R., O. Harschnitz, G. Breen, R.J.P. and J.H.V. performed biological pathway analyses. U.V., L.F., W.v.R. and J.H.V. performed eQTL analyses. W.v.R., A.S., A.A.-C., L.H.v.d.B. and J.H.V. prepared the manuscript with contributions from all authors. A.A.-C., L.H.v.d.B. and J.H.V. directed the study.

Corresponding authors

Correspondence toAmmar Al-Chalabi or Jan H Veldink.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

A list of members appears in the Supplementary Note.

A list of members appears in the Supplementary Note.

A list of members appears in the Supplementary Note.

A list of members appears in the Supplementary Note.

A list of members appears in the Supplementary Note.

A list of members appears in the Supplementary Note.

Integrated supplementary information

Supplementary Figure 1 Coverage distribution for reference panel.

(a) Average coverage for all non-reference bases for all samples in the custom reference panel. An average coverage of 43.7 reads per base was achieved. (b) Percentage of non-reference bases covered by at least 5 (blue), 10 (yellow) or 20 (red) reads. Histograms include all individuals, before quality control.

Source data

Supplementary Figure 2 Comparison between meta-analysis and linear mixed-model results.

Regressing the –log10 (P values) derived from the linear mixed model on the meta-analysis P values yielded a slope below the diagonal (β = 0.86), implying no overall inflation of the test statistic. Strongly associated SNPs, however, deviated from the regression line representing the increased power of a linear mixed model in comparison to a meta-analysis for association testing.

Supplementary Figure 3 Quantile–quantile plots.

(a,b) Meta-analysis (a) and linear mixed model (b). For presentation purposes, P values <5 × 10−8 are plotted at 5 × 10−8.

Supplementary Figure 4 Replication results.

Forest plot for the inverse-variance-weighted, fixed-effect meta-analysis of the discovery phase and replication cohorts. OR, odds ratio; CI, confidence interval.

Supplementary Figure 5 Fine-mapping of the C21orf2 locus.

(a) Associations for all SNPs analyzed in the GWAS in the C21orf2 locus where only rs75087725 reaches genome-wide significance. (b) LD as defined by |_D_′| (absolute _D_-prime value) for all variants obtained from whole-genome sequencing data of the custom reference panel. Possible causal variants for driving factors of the GWAS association were considered when they met the following criteria: (i) risk allele frequency difference between cases and controls exceeding 0.4% (risk allele frequency difference for rs75087725 = 0.8%), (ii) rs75087725 as the best genotyped GWAS tag for the variant and (iii) minor allele with a risk-increasing effect on ALS. (c) No such variant was in LD with rs75087725. (d) LD defined by _R_2 is very sparse. (e) C21orf2 is the only gene in this locus with an increased burden of rare nonsynonymous variants in the sequencing data of our custom reference panel, indicating that C21orf2 is indeed the ALS risk gene.

Source data

Supplementary Figure 6 C21orf2 rare variant burden.

Summary of the rare (MAF < 0.05) nonsynonymous and loss-of-function mutations in the canonical transcript of C21orf2. Conditioning on the SNP found to be associated in the GWAS (rs75087725, p.V58L; gray), there was an increased burden of nonsynonymous and loss-of-function mutations among ALS cases (_P_T5 = 9.2 × 10−5, _P_T1 = 0.01). Odds ratios (calculated by counting alleles in cases and controls per stratum, unadjusted for principal components, combined in a Cochran–Mantel–Haenszel test) are 1.63 and 1.48 for T5 and T1 burden, respectively. The two loss-of-function mutations observed in cases are colored red.

Supplementary Figure 7 _cis_-eQTL regional plots for six genome-wide-significant loci.

Highlighted are _cis_-eQTLs acquired from several resources (genes in green) and brain _cis_-eQTLs (genes in black). Stranded RNA-seq data for one fetal brain (3,000-bp sliding window) are shown on a separate track. For the MOBP region, there was an eQTL effect for MOBP (P = 7.12 × 10−18), but the effect SNP, rs1707953, did not show any association with ALS in our GWAS (P = 0.74). Further details of highlighted brain _cis_-eQTLs and non-brain _cis_-eQTLs are given in Supplementary Table 10 and the Supplementary Data Set. eQTL annotation and LD data are shown only for SNPs present in the 1000 Genomes Project p1v3 CEU population.

Source data

Supplementary Figure 8 Polygenic risk scores.

(a) Polygenic risk score analyses where nine cohorts were used as targets. Best predictions were made when including the six genome-wide-significant SNPs from the C9orf72 and UNC13A loci only. (b) Polygenic risk score analyses excluding all variants on chromosome 9. Increased polygenic risk score predictions were made when including more variants by lowering the _P_-value threshold. Note that the overall prediction accuracy is lower than when SNPs on chromosome 9 were included.

Source data

Supplementary Figure 9 Partitioned heritability excluding candidate loci.

(a) SNPs in the C9orf72 locus (within 1 Mb of rs3849943 and _r_2 >0.2) were excluded from heritability estimates. (b) SNPs within 1 Mb of the top associated SNP and _r_2 >0.2 for all loci exceeding genome-wide significance were excluded for heritability estimates. In both instances, most heritability was explained by low-frequency variants (MAF < 0.1).

Source data

Supplementary Figure 10 DEPICT biological pathway analysis.

The top ten terms from Gene Ontology, KEGG and Reactome pathways that are most enriched for genes tagged by SNPs in the GWAS are displayed. Different thresholds of significance were used to select SNPs for the DEPICT analyses. The lengths of the bars correspond to the nominal significance levels, the black line indicates the _P_-value threshold of 0.05 and color corresponds to FDR, determined by 200 permutations. When all SNPs with a P value <1 × 10−4 in the linear mixed-model analysis were included, it identifies the Gene Ontology category SNAP receptor (SNARE) activity as the only significantly enriched term after correction for multiple testing.

Supplementary Figure 11 Population outlier removal.

(a) Example of stratum sNL2 projected onto the first two principal components calculated on HapMap 3 individuals. Individuals of non-European ancestry (±10 s.d. from the HapMap CEU mean on PC1–PC4) were removed. (b) Subsequent removal of samples deviating by more than 4 s.d. from the stratum mean eigenvalues on PC1 and PC2 (HapMap 3). (c,d) Individuals remaining after removing population outliers resulting in a homogenous European sample where the Scandinavian individuals (mainly Finnish), as expected, depart from the other strata.

Source data

Supplementary Figure 12 Population structure of the custom reference panel.

Individuals projected onto the first two principal components calculated on HapMap 3 individuals. NL, Netherlands; Ir, Ireland; It, Italy; No, Norway; Sp, Spain; Sw, Sweden; US, United States.

Source data

Supplementary Figure 13 C21orf2 rare variant analysis quality control.

Quantile–quantile plots for the single-SNV regression of chromosome 21 including the first ten principal components as covariates are displayed on the left. Principal-components plots for each stratum are shown on the right. Population stratification was successfully corrected for, resulting in well-behaved burden tests without evidence for overall inflation of the test statistic.

Source data

Supplementary Figure 14 Genetic relationship matrix distribution.

(a) Diagonal values of the SNP-based GRM. (b) Distribution of the off-diagonal values representing the relatedness between samples. Pairs of individuals whose relatedness exceeded 0.05 were excluded from the heritability estimations. GRM, genetic relationship matrix.

Supplementary information

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van Rheenen, W., Shatunov, A., Dekker, A. et al. Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis.Nat Genet 48, 1043–1048 (2016). https://doi.org/10.1038/ng.3622

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