Search

Your search keyword '"Noam D. Beckmann"' showing total 59 results
Start Over Author "Noam D. Beckmann"
59 results on '"Noam D. Beckmann"'

51. A new molecular signature method for prediction of driver cancer pathways from transcriptional data

Author

Hui Li, Boris Reva, Andrew V. Uzilov, Dmitry Rykunov, Eric E. Schadt, and Noam D. Beckmann

Subjects
Genetic Markers, Male, 0301 basic medicine, Colorectal cancer, Computational biology, Biology, Bioinformatics, Genome, DNA sequencing, Machine Learning, Transcriptome, 03 medical and health sciences, Neoplasms, Databases, Genetic, Biomarkers, Tumor, Genetics, medicine, Humans, Gene, Regulation of gene expression, Gene Expression Profiling, Computational Biology, RNA, Genomics, medicine.disease, Gene Expression Regulation, Neoplastic, Gene expression profiling, 030104 developmental biology, Methods Online, Female, human activities, Algorithms, Signal Transduction
Abstract

Assigning cancer patients to the most effective treatments requires an understanding of the molecular basis of their disease. While DNA-based molecular profiling approaches have flourished over the past several years to transform our understanding of driver pathways across a broad range of tumors, a systematic characterization of key driver pathways based on RNA data has not been undertaken. Here we introduce a new approach for predicting the status of driver cancer pathways based on signature functions derived from RNA sequencing data. To identify the driver cancer pathways of interest, we mined DNA variant data from TCGA and nominated driver alterations in seven major cancer pathways in breast, ovarian and colon cancer tumors. The activation status of these driver pathways were then characterized using RNA sequencing data by constructing classification signature functions in training datasets and then testing the accuracy of the signatures in test datasets. The signature functions differentiate well tumors with nominated pathway activation from tumors with no signs of activation: average AUC equals to 0.83. Our results confirm that driver genomic alterations are distinctively displayed at the transcriptional level and that the transcriptional signatures can generally provide an alternative to DNA sequencing methods in detecting specific driver pathways.

Published
2016
Full Text
View/download PDF

52. Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus

Author

Stephen W. Scherer, Mònica Gratacòs, Kari Stefansson, Muriel Holder, Unnur Thorsteinsdottir, Lukas Forer, Katharina M. Roetzer, Josette Lucas, Claudia Schurmann, Satu Kaksonen, Armand Valsesia, Carina Wallgren-Pettersson, Barbara Leube, Alexandra I. F. Blakemore, Alexandre Moerman, Marco Belfiore, Anne Faudet, Dominique Gaillard, Roberto Ravazzolo, Dominique Bonneau, Marjo-Riitta Järvelin, Yongguo Yu, Louis Vallée, Bénédicte Demeer, Sophie Visvikis-Siest, Frédérique Béna, Brigitte H. W. Faas, Benoit Arveiler, Georg Homuth, Charles Coutton, Bénédicte de Fréminville, Giorgio Gimelli, Xavier Estivill, Richard I. Fisher, Stefania Gimelli, Wendy Roberts, Jacques S. Beckmann, Emilie Landais, Orah S. Platt, Robin G. Walters, Gudmar Thorleifsson, Alexandre Reymond, Anna-Liisa Hartikainen, Solenn Legallic, James F. Gusella, Peter Vollenweider, Gian Paolo Ramelli, Tõnu Esko, Boris Keren, Nine V A M Knoers, Fanny Morice-Picard, Dominique Campion, Odile Boute, Evica Rajcan-Separovic, Rolph Pfundt, Nathalie Bednarek, Martine Doco-Fenzy, Suzanne M E Lewis, Gérard Didelot, Mylène Beri, Engilbert Sigurdsson, Véronique Satre, Audrey Labalme, Carola Tengstrom, Florian Kronenberg, Florence Petit, Simon Zwolinksi, Philippe Froguel, Paul Elliott, Dorothée Cailley, Christian R. Marshall, Bruno Leheup, Klaus Dieterich, Janina S. Ried, Sylvie Jaillard, Armand Bottani, Stylianos E. Antonarakis, Elisabetta Lapi, Jean-Christophe Cuvellier, Robert M. Witwicki, Gérard Waeber, Christèle Dubourg, Marion Gérard, Lachlan J. M. Coin, Magalie Barth, Anita Kloss-Brandstätter, Vincent Mooser, Cristóbal Richart, Giuseppe Merla, Bénédicte Duban-Bedu, Yiping Shen, Ants Kurg, Audrey Guilmatre, Juliane Hoyer, Susana Jiménez-Murcia, Mafalda Mucciolo, Bai-Lin Wu, Alessandra Ferrarini, Séverine Drunat, Yves Alembik, Páll Magnússon, Han G. Brunner, Maria Antonietta Mencarelli, Dominique Descamps, R. Frank Kooy, Azzedine Aboura, Valérie Layet, Sven Bergmann, Thomas Meitinger, Peter M. Kroisel, Nathalie Van der Aa, Olivier Guillin, Michèle Mathieu-Dramard, Zoltán Kutalik, Elisabeth Flori, Laurent Pasquier, André Reis, Noam D. Beckmann, Bertrand Isidor, Delphine Héron, Philippe Jonveaux, Sergi Villatoro Gomez, Ann Nordgren, José Manuel Fernández-Real, Florence Fellmann, Fernando Fernández-Aranda, Laurence Faivre, Dimitri J. Stavropoulos, Katrin Männik, Christian Gieger, Evald Saemundsen, Agnès Guichet, Jean-Marie Cuisset, R. Touraine, Laura Bernardini, Marie-Ange Delrue, Alessandra Renieri, Omar Gustafsson, Flore Zufferey, David A. Koolen, Massimiliano Rossi, Jacqueline Chrast, Ghislaine Plessis, Faida Walha, Joris Andrieux, Ellen van Binsbergen, Albert David, Catherine Vincent-Delorme, Cédric Le Caignec, Jean Chiesa, Ndeye Coumba Ndiaye, Geraldine Joly Helas, Damien Sanlaville, Anita Rauch, Louise Harewood, Mark I. McCarthy, Bridget A. Fernandez, Sébastien Jacquemont, Hreinn Stefansson, Anneke T. Vulto-van Silfhout, Zdenek Jaros, Matthias Nauck, Hans J. Grabe, Sonia Bouquillon, Mieke M. van Haelst, Andres Metspalu, Loyse Hippolyte, Patrick Callier, Bert B.A. de Vries, Francisco J. Tinahones, Nicole de Leeuw, Julia S. El-Sayed Moustafa, Claudine Rieubland, Kay D. MacDermot, Vittoria Disciglio, Henry Völzke, Caroline Rooryck, Bettina Blaumeiser, Danielle Martinet, Marie-Claude Addor, Bruno Delobel, Jacquemont, S, Reymond, A, Zufferey, F, Harewood, L, Walters, Rg, Kutalik, Z, Martinet, D, Shen, Y, Valsesia, A, Beckmann, Nd, Thorleifsson, G, Belfiore, M, Bouquillon, S, Campion, D, de Leeuw, N, de Vries, Bb, Esko, T, Fernandez, Ba, Fernández-Aranda, F, Fernández-Real, Jm, Gratacòs, M, Guilmatre, A, Hoyer, J, Jarvelin, Mr, Kooy, Rf, Kurg, A, Le Caignec, C, Männik, K, Platt, O, Sanlaville, D, Van Haelst, Mm, Villatoro Gomez, S, Walha, F, Wu, Bl, Yu, Y, Aboura, A, Addor, Mc, Alembik, Y, Antonarakis, Se, Arveiler, B, Barth, M, Bednarek, N, Béna, F, Bergmann, S, Beri, M, Bernardini, L, Blaumeiser, B, Bonneau, D, Bottani, A, Boute, O, Brunner, Hg, Cailley, D, Callier, P, Chiesa, J, Chrast, J, Coin, L, Coutton, C, Cuisset, Jm, Cuvellier, Jc, David, A, de Freminville, B, Delobel, B, Delrue, Ma, Demeer, B, Descamps, D, Didelot, G, Dieterich, K, Disciglio, V, Doco-Fenzy, M, Drunat, S, Duban-Bedu, B, Dubourg, C, El-Sayed Moustafa, J, Elliott, P, Faas, Bh, Faivre, L, Faudet, A, Fellmann, F, Ferrarini, A, Fisher, R, Flori, E, Forer, L, Gaillard, D, Gerard, M, Gieger, C, Gimelli, S, Gimelli, G, Grabe, Hj, Guichet, A, Guillin, O, Hartikainen, Al, Heron, D, Hippolyte, L, Holder, M, Homuth, G, Isidor, B, Jaillard, S, Jaros, Z, Jiménez-Murcia, S, Helas, Gj, Jonveaux, P, Kaksonen, S, Keren, B, Kloss-Brandstätter, A, Knoers, Nv, Koolen, Da, Kroisel, Pm, Kronenberg, F, Labalme, A, Landais, E, Lapi, E, Layet, V, Legallic, S, Leheup, B, Leube, B, Lewis, S, Lucas, J, Macdermot, Kd, Magnusson, P, Marshall, C, Mathieu-Dramard, M, Mccarthy, Mi, Meitinger, T, Mencarelli, Ma, Merla, G, Moerman, A, Mooser, V, Morice-Picard, F, Mucciolo, M, Nauck, M, Ndiaye, Nc, Nordgren, A, Pasquier, L, Petit, F, Pfundt, R, Plessis, G, Rajcan-Separovic, E, Ramelli, Gp, Rauch, A, Ravazzolo, R, Reis, A, Renieri, A, Richart, C, Ried, J, Rieubland, C, Roberts, W, Roetzer, Km, Rooryck, C, Rossi, M, Saemundsen, E, Satre, V, Schurmann, C, Sigurdsson, E, Stavropoulos, Dj, Stefansson, H, Tengström, C, Thorsteinsdóttir, U, Tinahones, Fj, Touraine, R, Vallée, L, van Binsbergen, E, Van der Aa, N, Vincent-Delorme, C, Visvikis-Siest, S, Vollenweider, P, Völzke, H, Vulto-van Silfhout, At, Waeber, G, Wallgren-Pettersson, C, Witwicki, Rm, Zwolinksi, S, Andrieux, J, Estivill, X, Gusella, Jf, Gustafsson, O, Metspalu, A, Scherer, Sw, Stefansson, K, Blakemore, Ai, Beckmann, J, Froguel, P, Faculteit Medische Wetenschappen/UMCG, Service de génétique médicale, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL)-Université de Lausanne = University of Lausanne (UNIL), Department of Genomics of Common Disease, Imperial College London, Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Laboratory Medicine, Boston Children's Hospital, Center for Human Genetic Research, Massachusetts General Hospital [Boston], Ludwig Institute for Cancer Research, deCODE Genetics, deCODE genetics [Reykjavik], Laboratoire de Génétique Médicale, Hôpital Jeanne de Flandre [Lille]-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Génétique médicale et fonctionnelle du cancer et des maladies neuropsychiatriques, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Estonian Genome and Medicine, University of Tartu, Department of human genetics, Radboud University Medical Center [Nijmegen]-Nijmegen Centre for Molecular Life Sciences-Institute for Genetic and Metabolic Disorders, Institute of Molecular and Cell Biology, Disciplines of Genetics and Medicine, Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Section of Diabetes, Endocrinology and Nutrition, University Hospital of Girona-Biomedical Research Institute 'Dr Josep Trueta'-CIBERobn Fisiopatología de la Obesidad y Nutrición, Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Human Genetics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Department of child and adolescent health, University of Oulu-Institute of Health Sciences and Biocenter Oulu-National Institute for Health and Welfare [Helsinki], Antwerp University Hospital [Edegem] (UZA), CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de cytogénétique constitutionnelle, Hospices Civils de Lyon (HCL)-CHU de Lyon-Centre Neuroscience et Recherche, University Medical Center [Utrecht], Institutes of Biomedical Science, Fudan University [Shanghai]-Children's Hospital, Shanghai Children's Medical Center, Département de génétique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Service de cytogénétique, CHU Strasbourg-Hôpital de Hautepierre [Strasbourg], Génétique médicale, Hôpitaux Universitaires de Genève (HUG), Maladies Rares - Génétique et Métabolisme (MRGM), Université Bordeaux Segalen - Bordeaux 2-Hôpital Pellegrin-Service de Génétique Médicale du CHU de Bordeaux, Université de Bordeaux (UB)-CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Service de génétique [Angers], Université d'Angers (UA)-Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Université de Reims Champagne-Ardenne (URCA), Department of Molecular Genetics, Weizmann Institute of Science [Rehovot, Israël], Service de Génétique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Mendel Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico, Ospedale Casa Sollievo della Sofferenza [San Giovanni Rotondo] (IRCCS), Service de Génétique clinique, Laboratoire de cytogénétique (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Laboratoire de Cytogénétique, Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Département de génétique et procréation, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble-faculté de médecine-pharmacie, AGeing and IMagery (AGIM), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de biochimie et génétique moléculaire, CHU Grenoble, Service de Neuropédiatrie, Hôpital Roger Salengro [Lille]-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service de génétique, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Centre de Génétique Chromosomique, Hôpital Saint Vincent de Paul-Groupement des Hôpitaux de l'Institut Catholique de Lille (GHICL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), CHU Amiens-Picardie, Centre Hospitalier de Béthune (CH Béthune), GHT de l'Artois, Service de Génétique Clinique, Department of Biotechnology, Università degli Studi di Siena = University of Siena (UNISI)-Medical Genetics, Service de Génétique, Centre Hospitalier Universitaire de Reims (CHU Reims)-Hôpital Maison Blanche-IFR 53, Université de Reims Champagne-Ardenne (URCA)-Université de Reims Champagne-Ardenne (URCA), Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS), Department of Epidemiology and Public Health, Department of Human Genetics [Nijmegen], Radboud University Medical Center [Nijmegen], Department of Experimental Cardiology, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA)-University of Amsterdam [Amsterdam] (UvA)-Heart Failure Research Center (HFRC), CHU Pitié-Salpêtrière [AP-HP], Institute of human genetics, International Centre for Life, Division of genetic epidemiology, HMNC Brain Health-Molecular and Clinical Pharmacology-Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Obstetrics and Gynecology, University of Oulu-Institute of Clinical Medicine, Laboratorio di citogenetica, G. Gaslini Institute, Department of Psychiatry and Psychotherapy, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Abteilung für Kinder und Jugendheilkunde, Landesklinikum Waldviertel Zwettl, Service de génétique [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), The Habilitation Unit of Folkhalsan, Medical University Graz, Medical Genetics Unit, Children's Hospital Anna Meyer, Unité de Cytogénétique et Génétique Médicale, Groupe Hospitalier du Havre-Hôpital Gustave Flaubert, Service de Médecine Infantile III et Génétique Clinique [CHRU Nancy], Institute of Human Genetics and Anthropology, Heinrich-Heine University Hospital Duesseldorf, Child and Family Research Institute-University of British Columbia (UBC), North West Thames Regional Genetics Service, Northwick Park & St Marks Hospital, Child and Adolescent Psychiatry, Landspitali University Hospital, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, The Wellcome Trust Centre for Human Genetics [Oxford], Institute of Human Genetics, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Helmholtz Zentrum München = German Research Center for Environmental Health, Genetics, GlaxoSmithKline R&D, GlaxoSmithKline, Institute of Clinical Chemistry and Laboratory Medicine, Génétique cardiovasculaire (GC), Université Henri Poincaré - Nancy 1 (UHP), Molecular Medicine and Surgery department, Karolinska Institutet [Stockholm], Service de Génétique [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Department of Pathology, Division of pediatrics, Ospedale San Giovanni, Institute of Medical Genetics, Universität Zürich [Zürich] = University of Zurich (UZH), Department of pediatrics and CEBR, Università degli studi di Genova = University of Genoa (UniGe)-G. Gaslini Institute, Department of Internal Medicine, Universitat Rovira i Virgili-University Hospital Juan XXIII-Instituto Salud Carlos III-Ciber Fisiopatologia Obesidad y Nutricion (CIBEROBN), Division of Human Genetics, Department of Paediatrics, Inselspital-University of Bern, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, State Diagnostic, Counseling Center, University of Iceland [Reykjavik], Department of Pediatric Laboratory Medicine, Hospital for Sick Children, Genetic Services, Rinnekoti Research Foundation, Department of Endocrinology and Nutrition, Instituto Salud Carlos III-Clinic Hospital of Virgen de la Victoria-Ciber Fisiopatologia y Nutricion (CIBEROBN), Centre de Maladies Rares, Anomalies du Développement Nord de France-CH Arras - CHRU Lille, Institute for Community Medicine, Department of Medical and Clinical Genetics [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, The Centre for Applied Genomics, Toronto, The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Institut de biologie de Lille - UMS 3702 (IBL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This work was supported by the Leenaards Foundation Prize (SJ, DM and AR), the Jérôme Lejeune Foundation (AR), the Telethon Action Suisse Foundation (AR), the Swiss National Science Foundation (AR, JSB, SB and SEA), a SNSF Sinergia grant (SJ, DM, SB, JSB and AR), the European Commission anEUploidy Integrated Project grant 037627 (AR, SB, XE, HGB and SEA), the Ludwig Institute for Cancer Research (AV), the Swiss Institute of Bioinformatics (SB, ZK), an Imperial College Dept of Medicine PhD studentship (JSe-SM), the Comprehensive Biomedical Research Centre, Imperial College Healthcare NHS Trust, and the National Institute for Health Research (PE), the Wellcome Trust and the Medical Research Council (AIFB and PF), the Instituto de Salud Carlos III (ISCIII)-FIS, the German Mental Retardation Network funded through a grant of the German Federal Ministry of Education and Research (NGFNplus 01GS08160) to A Reis and European Union-FEDER (PI081714, PS09/01778), SAF2008-02278 (XE, MG, FFA), the Belgian National Fund for Scientific Research - Flanders (NVA, RFK), the Dutch Organisation for Health Research and Development (ZONMW grant 917-86-319) and Hersenstichting Nederland (BBAdV), grant 81000346 from the Chinese National Natural Science Foundation (YGY), the Simons Foundation Autism Research Initiative, Autism Speaks and NIH grant GM061354 (JFG), and the OENB grant 13059 (AK-B). YS holds a Young Investigator Award from the Children's Tumor Foundation and Catalyst Award from Harvard Medical School, and BLW, a Fudan Scholar Research Award from Fudan University, a grant from Chinese National '973' project on Population and Health (2010CB529601) and a grant from Science and Technology Council of Shanghai (09JC1402400). ERS and SL, recipients of the Michael Smith Foundation for Health Research Scholar award, acknowledge the CIHR MOP 74502 operational grant. EGCUT received support from the EU Centre of Excellence in Genomics and FP7 grants #201413 and #245536, from Estonian Government SF0180142s08, SF0180026s09 and SF0180027s10 (AM, KM, AK). The Helmholtz Zentrum Munich and the State of Bavaria financed KORA, also supported by the German National Genome Research Network (NGFN-2 and NGFNPlus: 01GS0823), the German Federal Ministry of Education and Research (BMBF), and the Munich Center of Health Sciences (MC Health, LMUinnovativ). CIBEROBN and CIBERESP are initiatives of ISCIII (Spain). SWS holds the GlaxoSmithKline-Canadian Institutes of Health (CIHR) Chair in Genetics, Genomics at the University of Toronto and the Hospital for Sick Children and is supported by Genome Canada and the McLaughlin Centre. deCODE was funded in part by NIH grant MH071425 (KS), EU grant HEALTH-2007-2.2.1-10-223423 (Project PsychCNV) and EU grant IMI-JU-NewMeds., Centre de génomique intégrative, Université de Lausanne (UNIL), Swiss Institute of Bioinformatics (SIB), Swiss Institute of Bioinformatics, Memorial University of Newfoundland [St. John's], Friedrich Alexander University [Erlangen-Nürnberg], Service d'ORL et de Chirurgie Cervicofaciale, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Weizmann Institute of Science, IRCCS Casa Sollievo della Sofferenza Hospital, Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Hôpital Roger Salengro-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), CHU Saint-Etienne-Hôpital nord, Hôpital Saint Vincent de Paul-GHICL, Centre hospitalier de Béthune, Università degli Studi di Siena (UNISI)-Medical Genetics, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IFR140-Centre National de la Recherche Scientifique (CNRS), Department of Human Genetics, Radboud University Medical Centre, PO Box 9101, 6500 HB Nijmegen, Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Innsbruck Medical University [Austria] (IMU)-HMNC Brain Health-Molecular and Clinical Pharmacology, Czech Academy of Sciences [Prague] (ASCR), University of Oxford [Oxford], Technische Universität München [München] (TUM)-Helmholtz-Zentrum München (HZM)-German Research Center for Environmental Health, University of Zürich [Zürich] (UZH), Universita degli studi di Genova -G. Gaslini Institute, University of Toronto-The Hospital for Sick Children, University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), De Villemeur, Hervé, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École pratique des hautes études (EPHE), Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland., Other departments, Reymond, Alexandre, Antonarakis, Stylianos, Sloan Bena, Frédérique, Bottani, Armand, Callier, Patrick, Gimelli, Stefania, Merla, Giuseppe, Vollenweider, Peter, Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Pierre Mendès France - Grenoble 2 (UPMF), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Helmholtz-Zentrum München (HZM)-German Research Center for Environmental Health, CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Université de Lille-Institut Pasteur de Lille, and Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, Aging, Transcription, Genetic, Adolescent, Adult, Aged, Body Height, Body Mass Index, Case-Control Studies, Child, Child, Preschool, Chromosomes, Human, Pair 16, Cohort Studies, Comparative Genomic Hybridization, Developmental Disabilities, Energy Metabolism, Europe, Female, Gene Dosage, Gene Duplication, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Head, Heterozygote, Humans, Infant, Infant, Newborn, Mental Disorders, Middle Aged, Mutation, North America, Obesity, Phenotype, RNA, Messenger, Sequence Deletion, Thinness, Young Adult, Physiology, RNA, Messenger/analysis/genetics, Genome-wide association study, HIDDEN-MARKOV MODEL, 0302 clinical medicine, Sequence Deletion/genetics, ddc:576.5, 0303 health sciences, education.field_of_study, Body Height/genetics, Genetic Predisposition to Disease/genetics, [SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism, 3. Good health, population characteristics, Chromosomes, Human, Pair 16/genetics, Human, Locus (genetics), Gene Duplication/genetics, Article, 03 medical and health sciences, Genetic, education, SNP GENOTYPING DATA, Thinness/genetics, [SDV.GEN]Life Sciences [q-bio]/Genetics, Pair 16, Case-control study, nutritional and metabolic diseases, social sciences, medicine.disease, DEPENDENT PROBE AMPLIFICATION, Human medicine, Body mass index, 030217 neurology & neurosurgery, Messenger, Obesity/genetics, FAILURE-TO-THRIVE, [SDV.GEN] Life Sciences [q-bio]/Genetics, Head/anatomy & histology, METABOLIC SYNDROME, [SDV.MHEP.EM] Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism, 2. Zero hunger, Genetics, Multidisciplinary, TIME QUANTITATIVE PCR, Failure to thrive, medicine.symptom, Underweight, Transcription, geographic locations, Mutation/genetics, Population, Biology, Chromosomes, 150 000 MR Techniques in Brain Function, medicine, Preschool, 030304 developmental biology, COPY NUMBER VARIATION, Mental Disorders/genetics, Energy Metabolism/genetics, RELATIVE QUANTIFICATION, Gene Dosage/genetics, Newborn, BODY-MASS INDEX, CIRCULAR BINARY SEGMENTATION, RNA, Genetics and epigenetic pathways of disease Genomic disorders and inherited multi-system disorders [NCMLS 6], human activities, Developmental Disabilities/genetics
Abstract

To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Both obesity and being underweight have been associated with increased mortality. Underweight, defined as a body mass index (BMI) ≤ 18.5 kg per m(2) in adults and ≤ -2 standard deviations from the mean in children, is the main sign of a series of heterogeneous clinical conditions including failure to thrive, feeding and eating disorder and/or anorexia nervosa. In contrast to obesity, few genetic variants underlying these clinical conditions have been reported. We previously showed that hemizygosity of a ∼600-kilobase (kb) region on the short arm of chromosome 16 causes a highly penetrant form of obesity that is often associated with hyperphagia and intellectual disabilities. Here we show that the corresponding reciprocal duplication is associated with being underweight. We identified 138 duplication carriers (including 132 novel cases and 108 unrelated carriers) from individuals clinically referred for developmental or intellectual disabilities (DD/ID) or psychiatric disorders, or recruited from population-based cohorts. These carriers show significantly reduced postnatal weight and BMI. Half of the boys younger than five years are underweight with a probable diagnosis of failure to thrive, whereas adult duplication carriers have an 8.3-fold increased risk of being clinically underweight. We observe a trend towards increased severity in males, as well as a depletion of male carriers among non-medically ascertained cases. These features are associated with an unusually high frequency of selective and restrictive eating behaviours and a significant reduction in head circumference. Each of the observed phenotypes is the converse of one reported in carriers of deletions at this locus. The phenotypes correlate with changes in transcript levels for genes mapping within the duplication but not in flanking regions. The reciprocal impact of these 16p11.2 copy-number variants indicates that severe obesity and being underweight could have mirror aetiologies, possibly through contrasting effects on energy balance. Leenaards Foundation Jerome Lejeune Foundation Telethon Action Suisse Foundation Swiss National Science Foundation European Commission 037627 QLG1-CT-2000-01643 Ludwig Institute for Cancer Research Swiss Institute of Bioinformatics Imperial College Department of Medicine Comprehensive Biomedical Research Centre Imperial College Healthcare NHS Trust National Institute for Health Research Wellcome Trust Medical Research Council Instituto de Salud Carlos III (ISCIII)-FIS German Mental Retardation Network German Federal Ministry of Education and Research NGFNplus 01GS08160 European Union PI081714 PS09/01778 201413 245536 info:eu-repo/grantAgreement/EC/FP7/223423 Belgian National Fund for Scientific Research, Flanders Dutch Organisation for Health Research and Development (ZON-MW) 917-86-319 Hersenstichting Nederland (B.B.A.d.V.) Chinese National Natural Science Foundation 81000346 Simons Foundation Autism Research Initiative Autism Speaks NIH GM061354 MH071425 Oesterreichische Nationalbank (OENB) 13059 Children's Tumor Foundation Harvard Medical School Fudan University Chinese National '973' project on Population and Health 2010CB529601 Science and Technology Council of Shanghai 09JC1402400 Michael Smith Foundation for Health CIHR MOP 74502 Estonian Government SF0180142s08 SF0180026s09 SF0180027s10 Helmholtz Zentrum Munich State of Bavaria German National Genome Research Network 01GS0823 German Federal Ministry of Education and Research (BMBF) Munich Center of Health Sciences (MC Health, LMUinnovativ) Genome Canada McLaughlin Centre Academy of Finland 104781 120315 129269 1114194 University Hospital Oulu Biocenter University of Oulu, Finland 75617 NHLBI 5R01HL087679-02 1RL1MH083268-01 NIH/NIMH 5R01MH63706:02 ENGAGE project Medical Research Council, UK G0500539 G0600705 Academy of Finland Biocentrum Helsinki SAF2008-02278 HEALTH-F4-2007-201413

Published
2011
Full Text
View/download PDF

53. Genome-wide meta-analysis for serum calcium identifies significantly associated SNPs near the calcium-sensing receptor (CASR) gene

Author

Gérard Waeber, Andrew B. Singleton, Toby Johnson, Daniel F. Gudbjartsson, Gudmundur I. Eyjolfsson, Peter Vollenweider, Yuri Milaneschi, Vincent Mooser, Diana Marek, Jacques S. Beckmann, Noam D. Beckmann, John C. Chambers, Unnur Styrkarsdottir, Kari Stefansson, Hilma Holm, Gunnar Sigurdsson, Stefania Bandinelli, Toshiko Tanaka, Joban Sehmi, Yun Li, Sven Bergmann, Dawn M. Waterworth, Murielle Bochud, Jack M. Guralnik, Paul Elliott, Unnur Thorsteinsdottir, Karen Kapur, Ranil DeSilva, Jaspal S. Kooner, James Scott, Weihua Zhang, Zoltán Kutalik, Unnur S. Bjornsdottir, Angelo DiIorio, Dena G. Hernandez, Luigi Ferrucci, and Medical Research Council (MRC)

Subjects
Cancer Research, Candidate gene, Linkage disequilibrium, CARDIOVASCULAR MORTALITY, LOCI, Genome-wide association study, 0302 clinical medicine, PRIMARY HYPERPARATHYROIDISM, Genetics (clinical), Genetics, Genetics & Heredity, 0303 health sciences, education.field_of_study, A986S POLYMORPHISM, 030220 oncology & carcinogenesis, Calcium-sensing receptor, BONE-MINERAL DENSITY, Life Sciences & Biomedicine, Research Article, medicine.medical_specialty, lcsh:QH426-470, Population, European Continental Ancestry Group, Public Health and Epidemiology, chemistry.chemical_element, Single-nucleotide polymorphism, Biology, Calcium, HYPOCALCIURIC HYPERCALCEMIA, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, ADULT, Internal medicine, medicine, Humans, CORONARY-HEART-DISEASE, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Calcium metabolism, 0604 Genetics, Science & Technology, Genome, Human, Genetics and Genomics, Calcium/blood, European Continental Ancestry Group/statistics & numerical data, Genome-Wide Association Study/statistics & numerical data, Receptors, Calcium-Sensing/genetics, COMMON VARIANT, lcsh:Genetics, Endocrinology, chemistry, MYOCARDIAL-INFARCTION, Computational Biology/Population Genetics, Receptors, Calcium-Sensing, Computational Biology/Genomics, Genome-Wide Association Study, Developmental Biology
Abstract

Calcium has a pivotal role in biological functions, and serum calcium levels have been associated with numerous disorders of bone and mineral metabolism, as well as with cardiovascular mortality. Here we report results from a genome-wide association study of serum calcium, integrating data from four independent cohorts including a total of 12,865 individuals of European and Indian Asian descent. Our meta-analysis shows that serum calcium is associated with SNPs in or near the calcium-sensing receptor (CASR) gene on 3q13. The top hit with a p-value of 6.3×10-37 is rs1801725, a missense variant, explaining 1.26% of the variance in serum calcium. This SNP had the strongest association in individuals of European descent, while for individuals of Indian Asian descent the top hit was rs17251221 (p = 1.1×10-21), a SNP in strong linkage disequilibrium with rs1801725. The strongest locus in CASR was shown to replicate in an independent Icelandic cohort of 4,126 individuals (p = 1.02×10-4). This genome-wide meta-analysis shows that common CASR variants modulate serum calcium levels in the adult general population, which confirms previous results in some candidate gene studies of the CASR locus. This study highlights the key role of CASR in calcium regulation., Author Summary Calcium levels in blood serum play an important role in many biological processes. The regulation of serum calcium is under strong genetic control. This study describes the first meta-analysis of a genome-wide association study from four cohorts totaling 12,865 participants of European and Indian Asian descent. Confirming previous results in some candidate gene studies, we find that common polymorphisms at the calcium-sensing receptor (CASR) gene locus are associated with serum calcium concentrations. We show that CASR variants give rise to the strongest signals associated with serum calcium levels in both European and Indian Asian populations, while no other locus reaches genome-wide significance. Our results show that CASR is a key player in genetic regulation of serum calcium in the adult general population.

Published
2010
Full Text
View/download PDF

54. Genetic evidence for a role of adiponutrin in the metabolism of apolipoprotein B-containing lipoproteins

Author

Cornelia M. van Duijn, Angela Döring, Iris M. Heid, Vincent Mooser, Anita Brandstätter, Yurii S. Aulchenko, Bernhard Paulweber, Steven C. Hunt, Noam D. Beckmann, Zoltán Kutalik, Henry Völzke, Maryam Kavousi, Stefan Coassin, Alexander Teumer, Johann Willeit, Matthias Nauck, Claudia Lamina, Florian Kronenberg, Ted D. Adams, Stefan Kiechl, Barbara Kollerits, and Epidemiology

Subjects
Adult, Male, medicine.medical_specialty, Apolipoprotein B, Lipoproteins, Blood lipids, White People, chemistry.chemical_compound, Young Adult, High-density lipoprotein, SDG 3 - Good Health and Well-being, Internal medicine, Genetics, medicine, Human Adipose-Tissue, Protein Function, Family-Members, Plasma-Levels, Expression, Obesity, Liver, Identification, Triglycerides, Cholesterol, Colaus Study, Humans, Adiponutrin, Prospective Studies, education, Molecular Biology, Genetics (clinical), Aged, Apolipoproteins B, education.field_of_study, biology, Association Studies Articles, Genetic Variation, Membrane Proteins, General Medicine, Middle Aged, Endocrinology, chemistry, Low-density lipoprotein, Case-Control Studies, biology.protein, Female, Liver function, Lipoprotein, Genome-Wide Association Study
Abstract

Adiponutrin (PNPLA3) is a predominantly liver-expressed transmembrane protein with phospholipase activity that is regulated by fasting and feeding. Recent genome-wide association studies identified PNPLA3 to be associated with hepatic fat content and liver function, thus pointing to a possible involvement in the hepatic lipoprotein metabolism. The aim of this study was to examine the association between two common variants in the adiponutrin gene and parameters of lipoprotein metabolism in 23 274 participants from eight independent West-Eurasian study populations including six population-based studies [Bruneck (n = 800), KORA S3/F3 (n = 1644), KORA S4/F4 (n = 1814), CoLaus (n = 5435), SHIP (n = 4012), Rotterdam (n = 5967)], the SAPHIR Study as a healthy working population (n = 1738) and the Utah Obesity Case-Control Study including a group of 1037 severely obese individuals (average BMI 46 kg/m(2)) and 827 controls from the same geographical region of Utah. We observed a strong additive association of a common non-synonymous variant within adiponutrin (rs738409) with age-, gender-, and alanine-aminotransferase-adjusted lipoprotein concentrations: each copy of the minor allele decreased levels of total cholesterol on average by 2.43 mg/dl (P = 8.87 x 10(-7)), non-HDL cholesterol levels by 2.35 mg/dl (P = 2.27 x 10(-6)) and LDL cholesterol levels by 1.48 mg/dl (P = 7.99 x 10(-4)). These associations remained significant after correction for multiple testing. We did not observe clear evidence for associations with HDL cholesterol or triglyceride concentrations. In conclusion, our study suggests that adiponutrin is involved in the metabolism of apoB-containing lipoproteins.

Published
2009

55. Detecting epigenetic motifs in low coverage and metagenomics settings

Author

Sashank Karri, Gang Fang, Ali Bashir, and Noam D. Beckmann

Subjects
Computational biology, Bacterial genome size, Biology, Biochemistry, Genome, Epigenesis, Genetic, Structural Biology, Iterative refinement, Computer Simulation, Epigenetics, Nucleotide Motifs, Molecular Biology, Genetics, Contig, Bacteria, Base Sequence, Models, Genetic, Applied Mathematics, food and beverages, Computer Science Applications, Proceedings, Metagenomics, Coding strand, DNA microarray, Algorithms, Genome, Bacterial
Abstract

Background It has recently become possible to rapidly and accurately detect epigenetic signatures in bacterial genomes using third generation sequencing data. Monitoring the speed at which a single polymerase inserts a base in the read strand enables one to infer whether a modification is present at that specific site on the template strand. These sites can be challenging to detect in the absence of high coverage and reliable reference genomes. Methods Here we provide a new method for detecting epigenetic motifs in bacteria on datasets with low-coverage, with incomplete references, and with mixed samples (i.e. metagenomic data). Our approach treats motif inference as a kmer comparison problem. First, genomes (or contigs) are deconstructed into kmers. Then, native genome-wide distributions of interpulse durations (IPDs) for kmers are compared with corresponding whole genome amplified (WGA, modification free) IPD distributions using log likelihood ratios. Finally, kmers are ranked and greedily selected by iteratively correcting for sequences within a particular kmer's neighborhood. Conclusions Our method can detect multiple types of modifications, even at very low-coverage and in the presence of mixed genomes. Additionally, we are able to predict modified motifs when genomes with "neighbor" modified motifs exist within the sample. Lastly, we show that these motifs can provide an alternative source of information by which to cluster metagenomics contigs and that iterative refinement on these clustered contigs can further improve both sensitivity and specificity of motif detection. Availability https://github.com/alibashir/EMMCKmer

Published
2014

56. W48 GENETIC VARIATION WITHIN ADIPONUTRIN IS ASSOCIATED WITH LIPOPROTEIN METABOLISM AND LIVER FUNCTION

Author

C.M. van Duijn, A. Teumer, Steven C. Hunt, Zoltán Kutalik, Florian Kronenberg, Henry Völzke, Johann Willeit, Bernhard Paulweber, Y S Aulchenko, Matthias Nauck, Ted D. Adams, Stefan Kiechl, Vincent Mooser, Barbara Kollerits, Stefan Coassin, Anita Brandstätter, Angela Döring, Iris M. Heid, M. Kavousi, Claudia Lamina, and Noam D. Beckmann

Subjects
medicine.medical_specialty, education.field_of_study, General Medicine, Biology, Endocrinology, Internal medicine, Genetic variation, Internal Medicine, medicine, Lipoprotein metabolism, Adiponutrin, Liver function, Cardiology and Cardiovascular Medicine, education
Published
2010
Full Text
View/download PDF

57. Population-Based Genome-wide Association Studies Reveal Six Loci Influencing Plasma Levels of Liver Enzymes

Author

Gérard Waeber, James Scott, Dawn M. Waterworth, Heide A. Stirnadel, Vincent Mooser, Peter Vollenweider, Xin Yuan, Weihua Zhang, Kijoung Song, John R. B. Perry, Sven Bergmann, Lon R. Cardon, Luigi Ferrucci, Yun Li, Noam D. Beckmann, Noha Lim, Jaspal S. Kooner, Timothy M. Frayling, Toby Johnson, John C. Chambers, David Melzer, Paul Elliott, Andrew B. Singleton, and Dena G. Hernandez

Subjects
Adult, Male, Candidate gene, Genotype, Genome-wide association study, Locus (genetics), Single-nucleotide polymorphism, Biology, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Report, Genetics, Humans, Genetics(clinical), Gamma-glutamyltransferase, Genetics (clinical), Chromosome 12, 030304 developmental biology, Aged, 0303 health sciences, Genome, Human, ALPL, Alanine Transaminase, gamma-Glutamyltransferase, Middle Aged, Alkaline Phosphatase, Molecular biology, 3. Good health, Enzymes, Genetics, Population, Liver, biology.protein, 030211 gastroenterology & hepatology, Female, Chromosome 22
Abstract

Plasma liver-enzyme tests are widely used in the clinic for the diagnosis of liver diseases and for monitoring the response to drug treatment. There is considerable evidence that human genetic variation influences plasma levels of liver enzymes. However, such genetic variation has not been systematically assessed. In the present study, we performed a genome-wide association study of plasma liver-enzyme levels in three populations (total n = 7715) with replication in three additional cohorts (total n = 4704). We identified two loci influencing plasma levels of alanine-aminotransferase (ALT) (CPN1-ERLIN1-CHUK on chromosome 10 and PNPLA3-SAMM50 on chromosome 22), one locus influencing gamma-glutamyl transferase (GGT) levels (HNF1A on chromosome 12), and three loci for alkaline phosphatase (ALP) levels (ALPL on chromosome 1, GPLD1 on chromosome 6, and JMJD1C-REEP3 on chromosome 10). In addition, we confirmed the associations between the GGT1 locus and GGT levels and between the ABO locus and ALP levels. None of the ALP-associated SNPs were associated with other liver tests, suggesting intestine and/or bone specificity. The mechanisms underlying the associations may involve cis- or trans-transcriptional effects (some of the identified variants were associated with mRNA transcription in human liver or lymphoblastoid cells), dysfunction of the encoded proteins (caused by missense variations at the functional domains), or other unknown pathways. These findings may help in the interpretation of liver-enzyme tests and provide candidate genes for liver diseases of viral, metabolic, autoimmune, or toxic origin. The specific associations with ALP levels may point to genes for bone or intestinal diseases.

Full Text
View/download PDF

58. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative.

Author

Guillaume Butler-Laporte, Gundula Povysil, Jack A Kosmicki, Elizabeth T Cirulli, Theodore Drivas, Simone Furini, Chadi Saad, Axel Schmidt, Pawel Olszewski, Urszula Korotko, Mathieu Quinodoz, Elifnaz Çelik, Kousik Kundu, Klaudia Walter, Junghyun Jung, Amy D Stockwell, Laura G Sloofman, Daniel M Jordan, Ryan C Thompson, Diane Del Valle, Nicole Simons, Esther Cheng, Robert Sebra, Eric E Schadt, Seunghee Kim-Schulze, Sacha Gnjatic, Miriam Merad, Joseph D Buxbaum, Noam D Beckmann, Alexander W Charney, Bartlomiej Przychodzen, Timothy Chang, Tess D Pottinger, Ning Shang, Fabian Brand, Francesca Fava, Francesca Mari, Karolina Chwialkowska, Magdalena Niemira, Szymon Pula, J Kenneth Baillie, Alex Stuckey, Antonio Salas, Xabier Bello, Jacobo Pardo-Seco, Alberto Gómez-Carballa, Irene Rivero-Calle, Federico Martinón-Torres, Andrea Ganna, Konrad J Karczewski, Kumar Veerapen, Mathieu Bourgey, Guillaume Bourque, Robert Jm Eveleigh, Vincenzo Forgetta, David Morrison, David Langlais, Mark Lathrop, Vincent Mooser, Tomoko Nakanishi, Robert Frithiof, Michael Hultström, Miklos Lipcsey, Yanara Marincevic-Zuniga, Jessica Nordlund, Kelly M Schiabor Barrett, William Lee, Alexandre Bolze, Simon White, Stephen Riffle, Francisco Tanudjaja, Efren Sandoval, Iva Neveux, Shaun Dabe, Nicolas Casadei, Susanne Motameny, Manal Alaamery, Salam Massadeh, Nora Aljawini, Mansour S Almutairi, Yaseen M Arabi, Saleh A Alqahtani, Fawz S Al Harthi, Amal Almutairi, Fatima Alqubaishi, Sarah Alotaibi, Albandari Binowayn, Ebtehal A Alsolm, Hadeel El Bardisy, Mohammad Fawzy, Fang Cai, Nicole Soranzo, Adam Butterworth, COVID-19 Host Genetics Initiative, DeCOI Host Genetics Group, GEN-COVID Multicenter Study (Italy), Mount Sinai Clinical Intelligence Center, GEN-COVID consortium (Spain), GenOMICC Consortium, Japan COVID-19 Task Force, Regeneron Genetics Center, Daniel H Geschwind, Stephanie Arteaga, Alexis Stephens, Manish J Butte, Paul C Boutros, Takafumi N Yamaguchi, Shu Tao, Stefan Eng, Timothy Sanders, Paul J Tung, Michael E Broudy, Yu Pan, Alfredo Gonzalez, Nikhil Chavan, Ruth Johnson, Bogdan Pasaniuc, Brian Yaspan, Sandra Smieszek, Carlo Rivolta, Stephanie Bibert, Pierre-Yves Bochud, Maciej Dabrowski, Pawel Zawadzki, Mateusz Sypniewski, Elżbieta Kaja, Pajaree Chariyavilaskul, Voraphoj Nilaratanakul, Nattiya Hirankarn, Vorasuk Shotelersuk, Monnat Pongpanich, Chureerat Phokaew, Wanna Chetruengchai, Katsushi Tokunaga, Masaya Sugiyama, Yosuke Kawai, Takanori Hasegawa, Tatsuhiko Naito, Ho Namkoong, Ryuya Edahiro, Akinori Kimura, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, Yukinori Okada, Seiya Imoto, Satoru Miyano, Serghei Mangul, Malak S Abedalthagafi, Hugo Zeberg, Joseph J Grzymski, Nicole L Washington, Stephan Ossowski, Kerstin U Ludwig, Eva C Schulte, Olaf Riess, Marcin Moniuszko, Miroslaw Kwasniewski, Hamdi Mbarek, Said I Ismail, Anurag Verma, David B Goldstein, Krzysztof Kiryluk, Alessandra Renieri, Manuel A R Ferreira, and J Brent Richards

Subjects
Genetics, QH426-470
Abstract

Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.

Published
2022
Full Text
View/download PDF

59. Genome-wide meta-analysis for serum calcium identifies significantly associated SNPs near the calcium-sensing receptor (CASR) gene.

Author

Karen Kapur, Toby Johnson, Noam D Beckmann, Joban Sehmi, Toshiko Tanaka, Zoltán Kutalik, Unnur Styrkarsdottir, Weihua Zhang, Diana Marek, Daniel F Gudbjartsson, Yuri Milaneschi, Hilma Holm, Angelo Diiorio, Dawn Waterworth, Yun Li, Andrew B Singleton, Unnur S Bjornsdottir, Gunnar Sigurdsson, Dena G Hernandez, Ranil Desilva, Paul Elliott, Gudmundur I Eyjolfsson, Jack M Guralnik, James Scott, Unnur Thorsteinsdottir, Stefania Bandinelli, John Chambers, Kari Stefansson, Gérard Waeber, Luigi Ferrucci, Jaspal S Kooner, Vincent Mooser, Peter Vollenweider, Jacques S Beckmann, Murielle Bochud, and Sven Bergmann

Subjects
Genetics, QH426-470
Abstract

Calcium has a pivotal role in biological functions, and serum calcium levels have been associated with numerous disorders of bone and mineral metabolism, as well as with cardiovascular mortality. Here we report results from a genome-wide association study of serum calcium, integrating data from four independent cohorts including a total of 12,865 individuals of European and Indian Asian descent. Our meta-analysis shows that serum calcium is associated with SNPs in or near the calcium-sensing receptor (CASR) gene on 3q13. The top hit with a p-value of 6.3 x 10(-37) is rs1801725, a missense variant, explaining 1.26% of the variance in serum calcium. This SNP had the strongest association in individuals of European descent, while for individuals of Indian Asian descent the top hit was rs17251221 (p = 1.1 x 10(-21)), a SNP in strong linkage disequilibrium with rs1801725. The strongest locus in CASR was shown to replicate in an independent Icelandic cohort of 4,126 individuals (p = 1.02 x 10(-4)). This genome-wide meta-analysis shows that common CASR variants modulate serum calcium levels in the adult general population, which confirms previous results in some candidate gene studies of the CASR locus. This study highlights the key role of CASR in calcium regulation.

Published
2010
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results