Author: "Claudia Langenberg" / Topic: medicine.medical_specialty - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Claudia Langenberg"' showing total 165 results

Start Over Author "Claudia Langenberg" Topic medicine.medical_specialty

165 results on '"Claudia Langenberg"'

1. MC3R links nutritional state to childhood growth and the timing of puberty

Author: Anthony P. Coll, MN Bedenbaugh, DT Porter, David H. Rowitch, John R. B. Perry, D A van Heel, X Dai, Rachel N. Lippert, Debra Rimmington, A. L. Gonçalves Soares, Felix R. Day, Duckett K, Patrick Sweeney, Zhaoyang Xu, Ahsan Nabi Khan, Hilary C. Martin, John Tadross, Roger D. Cone, Brian Y.H. Lam, Klj Ellacott, Richard B. Simerly, J Rosmaninho-Salgado, Alice E. Williamson, Gkc Dowsett, Sarah Finer, Irene Cimino, Giles S.H. Yeo, Audrey Melvin, Kara Rainbow, Claudia Langenberg, Stephen O'Rahilly, Nicholas J. Wareham, Katherine Ridley, Richard C. Trembath, Staffan Holmqvist, Sophie Buller, N J Timpson, Kaitlin H Wade, Ken K. Ong, and Elena G. Bochukova
Subjects: Male, medicine.medical_specialty, Time Factors, Calorie, Adolescent, media_common.quotation_subject, Hypothalamus, Nutritional Status, Estrous Cycle, Nutrient sensing, Biology, Weight Gain, Article, Mice, Child Development, Central melanocortin system, Internal medicine, medicine, Animals, Humans, Sexual maturity, Obesity, Sexual Maturation, Insulin-Like Growth Factor I, Child, media_common, Aged, 80 and over, Menarche, Multidisciplinary, Homozygote, Puberty, Appetite, Melanocortins, Melanocortin 4 receptor, Phenotype, medicine.anatomical_structure, Endocrinology, Lean body mass, Female, Melanocortin, Receptor, Melanocortin, Type 3
Abstract: The state of somatic energy stores in metazoans is communicated to the brain, which regulates key aspects of behaviour, growth, nutrient partitioning and development1. The central melanocortin system acts through melanocortin 4 receptor (MC4R) to control appetite, food intake and energy expenditure2. Here we present evidence that MC3R regulates the timing of sexual maturation, the rate of linear growth and the accrual of lean mass, which are all energy-sensitive processes. We found that humans who carry loss-of-function mutations in MC3R, including a rare homozygote individual, have a later onset of puberty. Consistent with previous findings in mice, they also had reduced linear growth, lean mass and circulating levels of IGF1. Mice lacking Mc3r had delayed sexual maturation and an insensitivity of reproductive cycle length to nutritional perturbation. The expression of Mc3r is enriched in hypothalamic neurons that control reproduction and growth, and expression increases during postnatal development in a manner that is consistent with a role in the regulation of sexual maturation. These findings suggest a bifurcating model of nutrient sensing by the central melanocortin pathway with signalling through MC4R controlling the acquisition and retention of calories, whereas signalling through MC3R primarily regulates the disposition of calories into growth, lean mass and the timing of sexual maturation. MC3R deficiency is associated with a delay in the onset of puberty, and a reduction in growth and lean mass.
Published: 2021

2. Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region

Author: Fiona M. Gribble, Robert Hansford, Maik Pietzner, Nicholas Bowker, A. Mesut Erzurumluoglu, Christopher N. Foley, Nicholas J. Wareham, Pallav Bhatnagar, Frank Reimann, Isobel D. Stewart, Eleanor Wheeler, Victoria P W Auyeung, Claudia Langenberg, Stephen Burgess, and Matthew P. Coghlan
Subjects: Adult, Male, Apolipoprotein E, medicine.medical_specialty, Linkage disequilibrium, Genotype, Endocrinology, Diabetes and Metabolism, Gastric Inhibitory Polypeptide, Type 2 diabetes, Receptors, Gastrointestinal Hormone, Risk Factors, Diabetes mellitus, Internal medicine, Internal Medicine, Humans, Medicine, Genetic Predisposition to Disease, Allele, Finland, Aged, Glycemic, business.industry, Confounding, Genetic Variation, Genetics/Genomes/Proteomics/Metabolomics, Odds ratio, Middle Aged, medicine.disease, United Kingdom, Endocrinology, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Female, business, Genome-Wide Association Study
Abstract: There is considerable interest in GIPR agonism to enhance the insulinotropic and extrapancreatic effects of GIP, thereby improving glycemic and weight control in type 2 diabetes (T2D) and obesity. Recent genetic epidemiological evidence has implicated higher GIPR-mediated GIP levels in raising coronary artery disease (CAD) risk, a potential safety concern for GIPR agonism. We therefore aimed to quantitatively assess whether the association between higher GIPR-mediated fasting GIP levels and CAD risk is mediated via GIPR or is instead the result of linkage disequilibrium (LD) confounding between variants at the GIPR locus. Using Bayesian multitrait colocalization, we identified a GIPR missense variant, rs1800437 (G allele; E354), as the putatively causal variant shared among fasting GIP levels, glycemic traits, and adiposity-related traits (posterior probability for colocalization [PPcoloc] > 0.97; PP explained by the candidate variant [PPexplained] = 1) that was independent from a cluster of CAD and lipid traits driven by a known missense variant in APOE (rs7412; distance to E354 ∼770 Kb; R2 with E354 = 0.004; PPcoloc > 0.99; PPexplained = 1). Further, conditioning the association between E354 and CAD on the residual LD with rs7412, we observed slight attenuation in association, but it remained significant (odds ratio [OR] per copy of E354 after adjustment 1.03; 95% CI 1.02, 1.04; P = 0.003). Instead, E354’s association with CAD was completely attenuated when conditioning on an additional established CAD signal, rs1964272 (R2 with E354 = 0.27), an intronic variant in SNRPD2 (OR for E354 after adjustment for rs1964272: 1.01; 95% CI 0.99, 1.03; P = 0.06). We demonstrate that associations with GIP and anthropometric and glycemic traits are driven by genetic signals distinct from those driving CAD and lipid traits in the GIPR region and that higher E354-mediated fasting GIP levels are not associated with CAD risk. These findings provide evidence that the inclusion of GIPR agonism in dual GIPR/GLP1R agonists could potentiate the protective effect of GLP-1 agonists on diabetes without undue CAD risk, an aspect that has yet to be assessed in clinical trials.
Published: 2021

3. Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations

Author: Yvonne T. van der Schouw, Eva Ardanaz, Ju-Sheng Zheng, Adam S. Butterworth, Maik Pietzner, Guy Fagherazzi, María José Sánchez, Rudolf Kaaks, Anne Tjønneland, Anja Olsen, Elio Riboli, Elisabete Weiderpass, Peter M. Nilsson, Luca A. Lotta, Thomas E. Gundersen, Olov Rolandsson, Claudia Langenberg, Nasser Laouali, Nita G. Forouhi, Pilar Amiano, Núria Sala, Kim Overvad, Sabina Sieri, Fulvio Ricceri, John Danesh, Jian'an Luan, Domenico Palli, Francesca Mancini, Annemieke M.W. Spijkerman, Rosario Tumino, Matthias B. Schulze, Eleni Sofianopoulou, María Dolores Chirlaque, N. Charlotte Onland-Moret, Eleanor Wheeler, Isobel D. Stewart, Paul W. Franks, Stephen J. Sharp, Salvatore Panico, Fumiaki Imamura, Nicholas J. Wareham, Felix R. Day, Zheng, Ju-Sheng [0000-0001-6560-4890], Lotta, Luca A [0000-0002-2619-5956], Fagherazzi, Guy [0000-0001-5033-5966], Franks, Paul W [0000-0002-0520-7604], Rolandsson, Olov [0000-0002-1341-6828], Schulze, Matthias B [0000-0002-0830-5277], Forouhi, Nita G [0000-0002-5041-248X], Wareham, Nicholas J [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, LEVEL, Physiology, 030209 endocrinology & metabolism, Genome-wide association study, Type 2 diabetes, Ascorbic Acid, Endocrinology and Diabetes, Polymorphism, Single Nucleotide, EPIC-NORFOLK, 03 medical and health sciences, VEGETABLE INTAKE, 0302 clinical medicine, Delta-5 Fatty Acid Desaturase, DESIGN, Risk Factors, Diabetes mellitus, Mendelian randomization, Internal Medicine, Medicine, Humans, 030212 general & internal medicine, OXIDATIVE STRESS, Epidemiology/Health Services Research, METAANALYSIS, Genetic association, Advanced and Specialized Nursing, Vitamin C, FRUIT, business.industry, GENETIC-VARIATION, Mendelian Randomization Analysis, medicine.disease, 3. Good health, Diabetes Mellitus, Type 2, ASCORBIC-ACID, Endokrinologi och diabetes, Medical genetics, LIFE-STYLE, business, Genome-Wide Association Study
Abstract: OBJECTIVE Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS We identified 11 genomic regions associated with plasma vitamin C (P < 5 × 10−8), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95% CI 0.96, 1.10). CONCLUSIONS These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.
Published: 2020

4. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Author: Alison D. Murray, Anna L. Guyatt, Jing Hua Zhao, Eugene R. Bleecker, Matthias Wielscher, Frank Dudbridge, Martin D. Tobin, Veronique Vitart, Ida Surakka, Nadia N. Hansel, Ozren Polasek, Caroline Hayward, David P. Strachan, Per Bakke, Stefan Karrasch, Anubha Mahajan, James F. Wilson, Shona M. Kerr, Ruth Tal-Singer, James D. Crapo, Victoria E. Jackson, Jonathan Marten, Olli T. Raitakari, María Soler Artigas, Medea Imboden, Sungho Won, Beate Stubbe, Ulf Gyllensten, George R. Washko, Eleftheria Zeggini, David A. Lynch, Brian D. Hobbs, Matthew Moll, Mika Kähönen, Rajesh Rawal, Guy Brusselle, Ma'en Obeidat, Nicholas J. Wareham, Claudia Langenberg, Nicole Probst-Hensch, Peter K. Joshi, Blair H. Smith, Stefan Weiss, Woo Jin Kim, Kathleen C. Barnes, Sarah E. Harris, David J. Porteous, Stefan Enroth, Ian P. Hall, Alan L. James, Sina A. Gharib, Paul R. H. J. Timmers, Xingnan Li, Louise V. Wain, John E. Hokanson, Holger Schulz, Ralf Ewert, Ani Manichaikul, Lies Lahousse, Georg Homuth, R. Graham Barr, Scott T. Weiss, Phuwanat Sakornsakolpat, Sara R.A. Wijnant, Edwin K. Silverman, Christian Gieger, Jennie Hui, Andrew P. Morris, James P. Cook, Michael J. McGeachie, Dawn L. DeMeo, Nick Shrine, Traci M. Bartz, Amund Gulsvik, Deborah A. Meyers, Katherine A. Kentistou, Igor Rudan, Jian'an Luan, Ian J. Deary, Catherine John, Michael H. Cho, Lars Lind, Marjo-Riitta Järvelin, Ah Ra Do, Terho Lehtimäki, Stephen S. Rich, Bruce M. Psaty, Tampere University, Department of Clinical Physiology and Nuclear Medicine, Clinical Medicine, Department of Clinical Chemistry, Epidemiology, and Pulmonary Medicine
Subjects: Pulmonary and Respiratory Medicine, Adult, Male, medicine.medical_specialty, AMERICAN THORACIC SOCIETY, Vital Capacity, LOCI, Genome-wide association study, EMPHYSEMA, Cohort Studies, 03 medical and health sciences, FEV1/FVC ratio, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Risk Factors, Internal medicine, Forced Expiratory Volume, adult, case-control studies, cohort studies, female, forced expiratory volume, genome-wide association study, humans, male, middle aged, phenotype, pulmonary disease, chronic obstructive, risk factors, vital capacity, Medicine and Health Sciences, medicine, COPD, Humans, SMOKING-BEHAVIOR, 030212 general & internal medicine, GENOME-WIDE ASSOCIATION, FAMILIAL AGGREGATION, GENETIC EPIDEMIOLOGY, Framingham Risk Score, HERITABILITY, business.industry, Case-control study, Family aggregation, Odds ratio, Articles, Middle Aged, medicine.disease, respiratory tract diseases, LUNG-FUNCTION, Phenotype, 030228 respiratory system, Genetic epidemiology, Case-Control Studies, Female, 3111 Biomedicine, business, Genome-Wide Association Study
Abstract: Background: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes. Methods: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC 1
Published: 2020

5. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Author: Tove Fall, Anubha Mahajan, Dmitry Shungin, B. Balkau, Gerjan Navis, A. Metspalu, Anneli Pouta, Andrew A. Hicks, Ilja M. Nolte, Ian Ford, Aroon D. Hingorani, Stefan R Bornstein, Anuj Goel, Rona J. Strawbridge, Niek Verweij, Sarah H. Wild, Patricia B. Munroe, T.B. Harris, Jaana Lindström, Johnson Pcd., Nita G. Forouhi, Pierre Meneton, Patricia A. Peyser, Sarin A-P., Andrea Ganna, Timothy M. Frayling, Patrik K. E. Magnusson, Joanne M. Meyer, Yongmei Liu, Jeanette M. Stafford, Christian Herder, L Zudina, Maria G. Stathopoulou, May E. Montasser, Nicholas D. Hastie, Inês Barroso, Schwarz Peh., James B. Meigs, Perttu Salo, George Davey Smith, Gonneke Willemsen, Christopher J. Groves, Erik P A Van Iperen, M. A. Province, Veikko Salomaa, Naveed Sattar, Serena Sanna, Maria Dimitriou, Joop Jukema, Ulrika Krus, Albert V. Smith, Markku Laakso, James F. Wilson, George Nicholson, Loic Yengo, Tatijana Zemunik, Per Eriksson, Harold Snieder, Peter P. Pramstaller, Claudia Langenberg, R. Rauramaa, Alan R. Shuldiner, Pau Navarro, Veronique Vitart, Ross M. Fraser, Aaron Isaacs, C. Lecoeur, Jesper R. Gådin, Jackie F. Price, Letizia Marullo, L.F. Bielak, Sirkka Keinänen-Kiukaanniemi, Amélie Bonnefond, Michael Stumvoll, Alessia Faggian, Anke Tönjes, Tomohiro Tanaka, Wieland Kiess, Harry Campbell, Josée Dupuis, David Altshuler, João Fadista, Winfried März, G K Hovingh, Thomas Illig, Toby Johnson, H Grallert, Kari Stefansson, Reedik Mägi, Palmer Cna., de Geus Ejcn., Martina Müller-Nurasyid, Karen Kapur, Philippe Froguel, Dorret I. Boomsma, Anders Franco-Cereceda, Marcus E. Kleber, Boehnke M, Olga D. Carlson, Ozren Polasek, Andrew P. Morris, Alex S. F. Doney, Najaf Amin, Sara M. Willems, Vilmundur Gudnason, Jose C. Florez, Jeffery R. O'Connell, Nancy L. Pedersen, T. Saaristo, Wolffenbuttel Bhr., M. I. J. Uusitupa, Longda Jiang, Iva Miljkovic, James S. Pankow, Caroline Hayward, Hugh Watkins, Vasiliki Lagou, Johanna Kuusisto, Jaakko Tuomilehto, Alan F. Wright, Josephine M. Egan, Perry Jrb., C M van Duijn, Valeriya Lyssenko, Leif Groop, Stefania Bandinelli, Nigel W. Rayner, Tõnu Esko, Stela McLachlan, Momoko Horikoshi, Eric Boerwinkle, Rick Jansen, Richard N. Bergman, Gudmar Thorleifsson, Lyle J. Palmer, Vilmantas Giedraitis, Peter Kovacs, Nicholas J. Wareham, Luigi Ferrucci, N J Timpson, D Rybin, Anne U. Jackson, Tiinamaija Tuomi, Gonçalo R. Abecasis, Harst Pvd., Meena Kumari, Albert Hofman, Chiara Scapoli, Evelin Mihailov, Josine L. Min, Anders Hamsten, Hottenga J-J., Loos Rjf., Lars Lind, Ulf de Faire, Jaakko Kaprio, Guo Li, Beate St Pourcain, C Gieger, Amanda J. Bennett, Anna Ulrich, Nabila Bouatia-Naji, Satu Männistö, Antigone S. Dimas, Jarvelin M-R., Günther Silbernagel, F Karpe, A. Körner, David S. Siscovick, M Blüher, Rebecca J. Webster, Erik Ingelsson, Susan Campbell, Mika Kivimäki, Laura J. Rasmussen-Torvik, Heikki A. Koistinen, Sophie Visvikis-Siest, Bernhard O. Boehm, Inga Prokopenko, Ping An, Emmanouil T. Dermitzakis, Cecilia M. Lindgren, Kardia Slr., Richa Saxena, Igor Rudan, Richard M. Watanabe, Jian'an Luan, Marika Kaakinen, Shin S-Y., George Dedoussis, Panagiotis Deloukas, Mark I. McCarthy, Barbara Thorand, B.W.J.H. Penninx, Peter Vollenweider, Paul W. Franks, Leena Kinnunen, Markus Perola, Yvonne Boettcher, Timo A. Lakka, Nicole Soranzo, Stavroula Kanoni, Bakker Sjl., Winkelmann Br, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Institute of Genomics [Tartu, Estonia], University of Tartu, Vrije Universiteit Amsterdam [Amsterdam] (VU), Vrije Universiteit Medical Centre (VUMC), Helmholtz-Zentrum München (HZM), University of Cambridge [UK] (CAM), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Università degli Studi di Ferrara (UniFE), Boston University [Boston] (BU), VU University Medical Center [Amsterdam], University of Bristol [Bristol], Biomedical Sciences Research Centre Alexander Fleming [Vari, Greece] (BSRC), Imperial College London, Karolinska Institutet [Stockholm], Institute for Molecular Bioscience, University of Queensland [Brisbane], Statens Serum Institut [Copenhagen], Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Cardiovascular Research Institute Maastricht (CARIM), Maastricht University [Maastricht], MRC Institute of Genetics and Molecular Medicine [Edinburgh] (IGMM), University of Edinburgh-Medical Research Council, National Institute on Aging [Baltimore, MD, USA] (NIH), University of Michigan [Ann Arbor], University of Michigan System, University of Maryland School of Medicine, University of Maryland System, The University of Western Australia (UWA), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Wake Forest University, National Institute for Health and Welfare [Helsinki], The Wellcome Trust Sanger Institute [Cambridge], University of Iceland [Reykjavik], University of Washington [Seattle], University of Groningen [Groningen], University of Glasgow, William Harvey Research Institute, Barts and the London Medical School, Université de Lausanne (UNIL), deCODE genetics [Reykjavik], Northwestern University Feinberg School of Medicine, Uppsala Universitet [Uppsala], University of Edinburgh, Medical Faculty [Mannheim], University of Graz, Ludwig-Maximilians-Universität München (LMU), Johannes Gutenberg - Universität Mainz (JGU), Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Umeå University, Skane University Hospital [Malmo], Lund University [Lund], RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche [Roma] (CNR), University Medical Center Groningen [Groningen] (UMCG), Universität Leipzig [Leipzig], Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Split, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA), University of Eastern Finland, Harokopio University of Athens, European Academy Bozen/Bolzano (EURAC), University of Kuopio, German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] (DZD), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Ninewells Hospital and Medical School [Dundee], University College of London [London] (UCL), University of Essex, Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], University of Helsinki, Leiden University Medical Center (LUMC), Institute of Cardiovascular and Medical Sciences [Glasgow], University of Oulu, The University of Texas Health Science Center at Houston (UTHealth), University of Minnesota Medical School, University of Minnesota System, Keck School of Medicine [Los Angeles], University of Southern California (USC), Amsterdam UMC, University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Universität Heidelberg [Heidelberg], King Abdulaziz University, Pirkanmaa Hospital District, Tampere University Hospital, Cedars-Sinai Medical Center, Danube University Krems, Harvard School of Public Health, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Hannover Medical School [Hannover] (MHH), Universität zu Lübeck [Lübeck], University of Exeter, Regeneron Pharmaceuticals [Tarrytown], University of Adelaide, Centre de Recherche des Cordeliers (CRC (UMR_S 872)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Harvard T.H. Chan School of Public Health, John Radcliffe Hospital [Oxford University Hospital], Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Université de Genève (UNIGE), Big Data Institute, University of Surrey (UNIS), University of Bergen (UiB), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford Cardiovascular Institute, University of Liverpool, University of Manchester [Manchester], Institute of Biochemistry and Genetics of Ufa Scientific Centre, Russian Academy of Sciences [Moscow] (RAS), Experimental Vascular Medicine, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, SIEST, Sofia, PreciDIAB Institute, the holistic approach of personal diabets care - - PreciDIAB2018 - ANR-18-IBHU-0001 - IBHU - VALID, Understanding the dynamic determinants of glucose homeostasis and social capability to promote Healthy and active aging - DYNAHEALTH - - H20202015-04-01 - 2019-03-31 - 633595 - VALID, Beyond the Genetics of Addiction - ADDICTION - - EC:FP7:ERC2011-12-01 - 2017-05-31 - 284167 - VALID, Rise of scientific excellence and collaboration for implementing personalised medicine in Estonia - ePerMed - - H20202016-01-01 - 2018-12-31 - 692145 - VALID, University of Oxford, Helmholtz Zentrum München = German Research Center for Environmental Health, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Università degli Studi di Ferrara = University of Ferrara (UniFE), Université de Lausanne = University of Lausanne (UNIL), Karl-Franzens-Universität Graz, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Amsterdam UMC - Amsterdam University Medical Center, Nanyang Technological University [Singapour], Universität zu Lübeck = University of Lübeck [Lübeck], Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Sorbonne Paris Nord, Université de Genève = University of Geneva (UNIGE), ANR-18-IBHU-0001,PreciDIAB,PreciDIAB Institute, the holistic approach of personal diabets care(2018), European Project: 633595,H2020,H2020-PHC-2014-two-stage,DYNAHEALTH(2015), European Project: 284167,EC:FP7:ERC,ERC-2011-StG_20101124,ADDICTION(2011), European Project: 692145,H2020,H2020-TWINN-2015,ePerMed(2016), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Functional Genomics, APH - Mental Health, Sociology and Social Gerontology, APH - Methodology, Hottenga, Jouke- Jan [0000-0002-5668-2368], Bouatia-Naji, Nabila [0000-0001-5424-2134], Jansen, Rick [0000-0002-3333-6737], Min, Josine L. [0000-0003-4456-9824], Faggian, Alessia [0000-0002-3799-9722], Bonnefond, Amélie [0000-0001-9976-3005], Isaacs, Aaron [0000-0001-5037-4834], Willems, Sara M. [0000-0002-6803-3007], Navarro, Pau [0000-0001-5576-8584], Jackson, Anne U. [0000-0002-9672-2547], Bielak, Lawrence F. [0000-0002-3443-8030], Saxena, Richa [0000-0003-2233-1065], Smith, Albert V. [0000-0003-1942-5845], Verweij, Niek [0000-0002-4303-7685], Goel, Anuj [0000-0003-2307-4021], Johnson, Paul C. D. [0000-0001-6663-7520], Strawbridge, Rona J. [0000-0001-8506-3585], Fall, Tove [0000-0003-2071-5866], Fraser, Ross M. [0000-0003-0488-2592], Kanoni, Stavroula [0000-0002-1691-9615], Giedraitis, Vilmantas [0000-0003-3423-2021], Kleber, Marcus E. [0000-0003-0663-7275], Müller-Nurasyid, Martina [0000-0003-3793-5910], Luan, Jian’an [0000-0003-3137-6337], Sanna, Serena [0000-0002-3768-1749], Nolte, Ilja M. [0000-0001-5047-4077], Zemunik, Tatijana [0000-0001-8120-2891], Kovacs, Peter [0000-0002-0290-5423], Wild, Sarah H. [0000-0001-7824-2569], McLachlan, Stela [0000-0003-0480-6143], Egan, Josephine [0000-0002-8945-0053], Hicks, Andrew A. [0000-0001-6320-0411], Thorand, Barbara [0000-0002-8416-6440], Hingorani, Aroon [0000-0001-8365-0081], Kivimaki, Mika [0000-0002-4699-5627], Koistinen, Heikki A. [0000-0001-7870-070X], Bakker, Stephan J. L. [0000-0003-3356-6791], Palmer, Colin N. A. [0000-0002-6415-6560], Jukema, J. Wouter [0000-0002-3246-8359], Sattar, Naveed [0000-0002-1604-2593], Snieder, Harold [0000-0003-1949-2298], Magnusson, Patrik K. [0000-0002-7315-7899], Blüher, Matthias [0000-0003-0208-2065], Wolffenbuttel, Bruce H. R. [0000-0001-9262-6921], Abecasis, Goncalo R. [0000-0003-1509-1825], Meigs, James B. [0000-0002-2439-2657], Wilson, James F. [0000-0001-5751-9178], Schwarz, Peter E. H. [0000-0001-6317-7880], Boehm, Bernhard O. [0000-0002-2706-7710], Metspalu, Andres [0000-0002-3718-796X], Deloukas, Panos [0000-0001-9251-070X], Körner, Antje [0000-0001-6001-0356], Wareham, Nicholas J. [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Männistö, Satu [0000-0002-8668-3046], Franks, Paul W. [0000-0002-0520-7604], Hayward, Caroline [0000-0002-9405-9550], Vitart, Veronique [0000-0002-4991-3797], Kaprio, Jaakko [0000-0002-3716-2455], Visvikis-Siest, Sophie [0000-0001-8104-8425], Altshuler, David [0000-0002-7250-4107], Rudan, Igor [0000-0001-6993-6884], van Duijn, Cornelia M. [0000-0002-2374-9204], Pramstaller, Peter P. [0000-0002-9831-8302], Boehnke, Michael [0000-0002-6442-7754], Frayling, Timothy M. [0000-0001-8362-2603], Peyser, Patricia A. [0000-0002-9717-8459], Harst, Pim van der [0000-0002-2713-686X], Smith, George Davey [0000-0002-1407-8314], Forouhi, Nita G. [0000-0002-5041-248X], Loos, Ruth J. F. [0000-0002-8532-5087], Salomaa, Veikko [0000-0001-7563-5324], Soranzo, Nicole [0000-0003-1095-3852], Boomsma, Dorret I. [0000-0002-7099-7972], Groop, Leif [0000-0002-0187-3263], Tuomi, Tiinamaija [0000-0002-8306-6202], Munroe, Patricia B. [0000-0002-4176-2947], Gudnason, Vilmundur [0000-0001-5696-0084], Lecoeur, Cecile [0000-0003-0075-6417], Jarvelin, Marjo-Riitta [0000-0002-2149-0630], Stefansson, Kari [0000-0003-1676-864X], Dermitzakis, Emmanouil T. [0000-0002-9302-6490], Lindgren, Cecilia M. [0000-0002-4903-9374], Froguel, Philippe [0000-0003-2972-0784], Kaakinen, Marika A. [0000-0002-9228-0462], Watanabe, Richard M. [0000-0003-1015-0531], Ingelsson, Erik [0000-0003-2256-6972], Dupuis, Josée [0000-0003-2871-3603], Barroso, Inês [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Epidemiology, University Hospital Mannheim | Universitätsmedizin Mannheim, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Universität Leipzig, Universiteit Leiden, Universität Heidelberg [Heidelberg] = Heidelberg University, Karl-Franzens-Universität [Graz, Autriche], Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, General practice, APH - Digital Health, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Value, Affordability and Sustainability (VALUE), Cardiovascular Centre (CVC), Hottenga, Jouke-Jan [0000-0002-5668-2368], Min, Josine L [0000-0003-4456-9824], Willems, Sara M [0000-0002-6803-3007], Jackson, Anne U [0000-0002-9672-2547], Bielak, Lawrence F [0000-0002-3443-8030], Smith, Albert V [0000-0003-1942-5845], Johnson, Paul CD [0000-0001-6663-7520], Strawbridge, Rona J [0000-0001-8506-3585], Fraser, Ross M [0000-0003-0488-2592], Kleber, Marcus E [0000-0003-0663-7275], Luan, Jian'an [0000-0003-3137-6337], Nolte, Ilja M [0000-0001-5047-4077], Wild, Sarah H [0000-0001-7824-2569], Hicks, Andrew A [0000-0001-6320-0411], Koistinen, Heikki A [0000-0001-7870-070X], Bakker, Stephan JL [0000-0003-3356-6791], Palmer, Colin NA [0000-0002-6415-6560], Jukema, J Wouter [0000-0002-3246-8359], Magnusson, Patrik K [0000-0002-7315-7899], Wolffenbuttel, Bruce HR [0000-0001-9262-6921], Abecasis, Goncalo R [0000-0003-1509-1825], Meigs, James B [0000-0002-2439-2657], Wilson, James F [0000-0001-5751-9178], Schwarz, Peter EH [0000-0001-6317-7880], Boehm, Bernhard O [0000-0002-2706-7710], Wareham, Nicholas J [0000-0003-1422-2993], Franks, Paul W [0000-0002-0520-7604], van Duijn, Cornelia M [0000-0002-2374-9204], Pramstaller, Peter P [0000-0002-9831-8302], Frayling, Timothy M [0000-0001-8362-2603], Peyser, Patricia A [0000-0002-9717-8459], Forouhi, Nita G [0000-0002-5041-248X], Loos, Ruth JF [0000-0002-8532-5087], Boomsma, Dorret I [0000-0002-7099-7972], Munroe, Patricia B [0000-0002-4176-2947], Dermitzakis, Emmanouil T [0000-0002-9302-6490], Lindgren, Cecilia M [0000-0002-4903-9374], Kaakinen, Marika A [0000-0002-9228-0462], Watanabe, Richard M [0000-0003-1015-0531], Tampere University, Tays Research Services, Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC), Fysiologie, RS: FHML MaCSBio, and RS: Carim - B01 Blood proteins & engineering
Subjects: Male, Anorexia Nervosa, medicine.medical_treatment, 45/43, Insulin Resistance/genetics, SUSCEPTIBILITY, Quantitative trait, Impaired glucose tolerance, 0302 clinical medicine, Architecture, LS2_1, IMPUTATION, Insulin, ComputingMilieux_MISCELLANEOUS, Fasting, Publisher Correction, 3. Good health, [SDV] Life Sciences [q-bio], Kruppel-Like Transcription Factors/blood, Endokrinologi och diabetes, Science & Technology - Other Topics, Adult, Blood Glucose, European Continental Ancestry Group, Female, Gene Expression, Genetic Loci, Genome-Wide Association Study, Glucose Intolerance, Humans, Insulin Receptor Substrate Proteins, Insulin Resistance, Kruppel-Like Transcription Factors, Middle Aged, Phenotype, Sex Characteristics, Sex Factors, Waist-Hip Ratio, Sex characteristics, medicine.medical_specialty, Science, 631/208/205/2138, Endocrinology and Diabetes, General Biochemistry, Genetics and Molecular Biology, White People, Gender-differences, 03 medical and health sciences, SDG 3 - Good Health and Well-being, 692/53/2421, GLYCEMIC TRAITS, GENOME-WIDE ASSOCIATION, Glycemic, GENDER-DIFFERENCES, Science & Technology, IDENTIFICATION, 692/699/2743/2815, Blood Glucose/metabolism, Diagnostic markers, medicine.disease, Anorexia Nervosa/blood, 030104 developmental biology, Endocrinology, Glucose, Insulin/blood, Anorexia Nervosa/ethnology, Anorexia Nervosa/genetics, Anorexia Nervosa/physiopathology, Fasting/blood, Glucose Intolerance/blood, Glucose Intolerance/ethnology, Glucose Intolerance/genetics, Glucose Intolerance/physiopathology, Insulin Receptor Substrate Proteins/blood, Insulin Receptor Substrate Proteins/genetics, Kruppel-Like Transcription Factors/genetics, 0301 basic medicine, Identification, [SDV]Life Sciences [q-bio], General Physics and Astronomy, Genome-wide association studies, Waist–hip ratio, LS4_5, RISK, ARCHITECTURE, Multidisciplinary, article, Type 2 diabetes, Multidisciplinary Sciences, MENDELIAN RANDOMIZATION, Pre-diabetes, Medical Genetics, Risk, PATHOPHYSIOLOGY, 030209 endocrinology & metabolism, 3121 Internal medicine, 692/163/2743/137/773, NO, Insulin resistance, Internal medicine, Diabetes mellitus, medicine, Mendelian randomization, 631/208/480, Medicinsk genetik, business.industry, General Chemistry, Impaired fasting glucose, business
Abstract: Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes., Sex differences in fasting glucose and insulin have been identified, but the genetic loci underlying these differences have not. Here, the authors perform a meta-analysis of genome-wide association studies to detect sex-specific and sex-dimorphic loci associated with fasting glucose and insulin.
Published: 2021

6. Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study

Author: Helen McShane, A Alamoudi, D Parekh, G Burns, R. Gisli Jenkins, Marco Sereno, R Djukanovic, Onn Min Kon, N I Lone, David M. Evans, L Daines, N A Hanley, Z. Omar, William Greenhalf, Nicola Williams, K Storton, Asaf David, T Wallis, E Pacpaco, H McCauley, L. O'Brien, K Hainey, P. Novotny, C Tong, L Ingram, S Gurram, C Avram, C Coleman, Edward T. Bullmore, Richard G. Brown, R Aul, K A Tripp, D. Cristiano, A Michael, Michael C Steiner, Padmasayee Papineni, A Howell, Gail Carson, Peter J. M. Openshaw, Simon Heller, G Madzamba, K Paradowski, S Singh, K Bramham, Teresa Light, David Price, V Shaw, A Yousuf, T Dong, T Hiwot, G Simons, Philip L. Molyneaux, A Ashworth, Ashley C. Brown, N Magee, A L Tan, R A Evans, Mark Toshner, Robert Sykes, W Saxon, S Finney, A Mohamed, P Cairns, Christos P Kotanidis, J D Chalmers, O Adeyemi, L Knibbs, A J Moss, S L Rowland-Jones, O M Kon, L P Ho, A Martineau, B Zhao, M G Crooks, J Meiring, Ewen M Harrison, Louise V. Wain, S Wright, E Robertson, David A. Lomas, H Lamlum, David E. Newby, P Chowdhury, K Mangion, Toby Hillman, E Turner, H McAllister-Williams, S West, J McGinness, B Whittam, T. Gorsuch, K Dempsey, L Mcgarvey, K Poinasamy, K Shevket, Emma Baldry, M Buch, N French, Olivia C. Leavy, Stephen C. J. Parker, H Newell, Louise M. Howard, O. Zongo, P Beirne, C Sharpe, N Mills, C David, M Bayley, Carmine M. Pariante, P Haldar, Z Kausar, A Dipper, I Hall, P McArdle, G Ogg, Rachael A. Evans, A.J. Buttress, M Pareek, Paul E Pfeffer, Denise Anderson, James D. Chalmers, P Kar, Caroline J. Jolley, S Plein, Nigel J. Brunskill, C Oliver, John R. Hurst, Clive Ballard, F Barrett, D Baguley, Nick P. Talbot, N Chaudhuri, A Young, Jonathan P. Busby, H Dobson, K Holmes, Liam G Heaney, Ruth E Barker, Anthony N. Price, David J. Stensel, L Brear, Louise Sigfrid, Marcia Soares, Patrice Carter, J R Hurst, John R. Geddes, Donghyung Lee, L Watson, J M Lord, H Parfrey, N Odell, J Glossop, K. Liyanage, Bryan Williams, S Neubauer, O Elneima, David R Baldwin, G Mallison, C Francis, A Te, D Foote, F Woodhead, A De Soyza, A Atkins, M Stern, A Morley, E Bright, N Basu, Simon E. Brill, D Southern, D Forton, L G Heaney, B Raman, Malcolm G Semple, M Mariveles, Charalambos Antoniades, Nawar Diar Bakerly, Swapna Mandal, Aroon D. Hingorani, E K Sage, Ania Korszun, A Hosseini, Louise Allan, M Toshner, Fergus V. Gleeson, Cherie Armour, J Quigley, S Drain, Thomas Kabir, M Havinden-Williams, Ben G. Marshall, S Patale, C Bourne, L Wright, Rachel L. Batterham, S Jones, S Linford, Salman Siddiqui, C Laing, A Horsley, S Greenwood, A Lingford-Hughes, S. Jose, Stefan Neubauer, S L Dobson, M Rahman, Alex D. McMahon, S Young, A Frankel, Joe Dennis, Claire M. Nolan, J Fuld, J Mayet, Nayia Petousi, Brij Patel, A Fairman, F Speranza, A Bularga, Colin Berry, Charlotte L. Edwardson, A Lloyd, H Jones, N Mairs, H Assefa-Kebede, L Gilmour, D Jones, Siobhan Kelly, I Cruz, Tim Rees, A Haggar, R. Wolf-Roberts, R Flockton, R Dowling, Geraldine Landers, C. Price, P Neill, John B. Cole, A L Key, Elaine Hardy, P Kitterick, Elodie Murali, Carly Welch, P Crisp, Rachel C. Chambers, L Carr, P C Calder, A McQueen, S Defres, A Dewar, F Adeyemi, Avan Aihie Sayer, D W Connell, M Halling-Brown, Neil J. Greening, M Andrews, Linda MacLiver, Kevin A. Davies, E Wade, Elizabeth M. Tunnicliffe, H Jarvis, Kathryn M. Abel, N Hart, A J Yousuf, Nicholas Easom, Alexander Richards, Lee B. Smith, P Dulawan, Janet T Scott, Amisha Singapuri, E Sapey, G Willis, P M George, S Bain, H. Tench, S S Kon, N Window, M J Rowland, A. J. Shah, B Card, A Knighton, P Chowienczyk, Luke Daines, Cathie Sudlow, Joseph Jacob, J Rossdale, S Paddick, Ifan Jones, A Storrie, Sonia Johnson, Huzaifa Adamali, Gail Davies, R G Jenkins, J Murira, Kamlesh Khunti, W Y James, Ajay M. Shah, A B Docherty, Donna J. Menzies, R Morriss, K Piper Hanley, James J Furniss, C Overton, P Mansoori, Phil Harrison, P Greenhaff, A Humphries, H. McGuinness, Gerome Breen, Hayley Hardwick, Davies Adeloye, P Pfeffer, H Lota, Daniel G. Wootton, William Monteiro, A Holbourn, R Hamil, Y Ellis, Traolach S. Brugha, A Alli, D Wraith, Jennifer K Quint, H Atkins, I Peralta, David C. Thomas, A Bolger, J Rodgers, S Portukhay, David Wilson, Michael Sharpe, Steven Kerr, T Plekhanova, J Lewis, S. Quaid, O Olaosebikan, L Lim, K Roy, A Checkley, A Newton Cox, A Dougherty, Bill Deakin, R Pius, A Hoare, N. Dormand, T Craig, Dhruv Parekh, Betty Raman, K E Lewis, Christopher E. Brightling, L G Spencer, Z Suleiman, E R Chilvers, Keith M. Channon, A Saratzis, R Lenagh, N Diar Bakerly, I Macharia, G Kaltsakas, L Morrison, M Ralser, K Fallon, C J Tee, JM Watson, J Nunag, R Gregory, J E Pearl, C Wright, K Regan, D Johnston, P Hogarth, Najib M. Rahman, G P McCann, Julie Evans, N Easom, Joseph Hughes, J Skeemer, H Baxendale, E Hufton, B Elliott, L V Wain, Ardythe L. Morrow, Meenal Patel, S Glover, C Xie, M Harvie, Alan Hughes, David B. Thomas, N Choudhury, Mark J. Tobin, Elizabeta B. Mukaetova-Ladinska, Richard W. Francis, J L Heeney, Shyam Madathil, Ellen Guthrie, S Yasmin, H Turton, M Marks, I Koychev, Melanie J. Davies, John P Greenwood, Daniel Peckham, E Lee, Iain B. McInnes, K Hadley, Charlotte Summers, J Chen, A Prickett, Timothy R Nicholson, K Lewis, A Cross, Jamie Brown, G Ross, H Wheeler, Manu Sharma, Igor Rudan, A Routen, M J Noonan, J Wild, K Jiwa, B. Welsh, Jonathan Pimm, J Kwan, A Lucey, C Favager, K Brindle, Nazir I Lone, Naveed Sattar, C Christie, James E. Mitchell, M Wilkins, C Coupland, T Thornton, Christian P Subbe, Alex Horsley, J Blaikely, G F Toingson, S Walsh, A Lea, Jennifer A. Smith, Margot W. Parkes, M Dixon, Luke Howard, N Majeed, A Hayday, Jack A. Sargeant, Michael Pavlides, K Leitch, J. Pendlebury, Andrew Donaldson, T Peto, Thomas A Jackson, N Rahman, M Gibbons, J Phipps, S Logan, D Wilkinson, J Breeze, D Holgate, R Osbourne, M Hoare, M Malim, Ryan S Thwaites, Stephen R Knight, W Ibrahim, J Rowland, Andrew M. Taylor, B Al-Sheklly, R. Loosley, S Megson, C Summersgill, Z Coburn, R Evans, I Wilson, B Pathmanathan, Jeremy George, A Angyal, S Betts, A Deans, C E Brightling, S Kerr, N Selby, L Price, A Ramos, S N Diwanji, P Kurupati, J S Brown, K Scott, A Sheikh, Krisnah Poinasamy, R Ugwuoke, Teresa Thompson, K Chong-James, Gerry P McCann, John R. Petrie, R Hughes, E. Watson, K McIvor, Trudie Chalder, Melissa Heightman, B Gooptu, H Evans, Thomas Yates, R Ahmed, Nicholas Hart, R Allen, W Schwaeble, J Simpson, Sara Clohisey, Janet M. Lord, R Bell, R Baggott, Clare J Taylor, Keir Lewis, Lynda Connor, F Thaivalappil, Kathryn J Saunders, Lynsey S. Hall, Richard Kevin Stone, Aliki Thomas, L Turtle, H Tedd, L Matthews, J Bambrough, S Stanel, M J McMahon, L Chetham, Enya Daynes, R Hurst, Angela Cook, M Aljaroof, Ling-Pei Ho, Paul Moss, H Arnold, S Fairbairn, Anthony J. Rostron, L Garner, Kyle Harrington, Douglas Grieve, B Connolly, Khalida Ismail, Craig Johnson, E. Russell, T Hussell, S Kon, Claudia Langenberg, E Wall, A Rowland, Miriam Harvey, N Powell, Catherine Pennington, N Armstrong, J C Porter, A Ient, Matthew Hotopf, R Parvin, M Richardson, I Smith, L Lightstone, J. Dasgin, Lynne Armstrong, A Charalambou, J R Geddes, C. Clark, E Gourlay, A Botkai, G Choudhury, J Bonnington, Matthew A. Brown, Paul Dark, S Thackray-Nocera, J Woods, E Stringer, R Free, Aarti Shikotra, J Jacob, P Clift, W Man, Sally J Singh, B King, Nikki Gautam, A Zawia, K McCafferty, L Milligan, S Whittaker, A Elmer, H Chinoy, H Welch, J Haworth, A Shikotra, Matthew J. Rowland, A Singapuri, M McNarry, F. Davies, F Khan, T Mcnally, Alfred A.R. Thompson, A McArdle, V Brown, Helen L. Fisher, M Spears, Peter Jezzard, Morag Henderson, D Thickett, U Munawar, M Broome, Graeme Jones, M. Gummadi, S Marciniak, L Poll, E Calvelo, J Hawkes, D Saralaya, S Walder, Omer Elneima, E M Harrison, C E Bolton, S J Singh, Khalid Shah, S Diver, M Willicombe, M Ainsworth, H Nassa, O C Leavy, D C Thomas, R Upthegrove, C Singh, C Echevarria, Sebastian Edwards, N Lewis-Burke, C Bloomfield, D L Sykes, J Parmar, Sam M. Janes, Simon Wessely, Shaney L Barratt, Judith Clarke, S McAdoo, G MacGowan, Hamish McAuley, L O Wajero, C Dobson, David J. Burn, Daniel Lasserson, Gill Arbane, Matthew Richardson, D McAulay, Rhian M. Touyz, Miles D. Witham, E Major, J Whitney, C J Jolley, Michael Beadsworth, N Goodman, S Walmsley, Daniel F. McAuley, Kath Chapman, Paul Cullinan, Margaret Jones, K P Yip, Nilesh J. Samani, M Bourne, Jeremy S. Brown, A Bloss, Alison M. Lawrie, Timothy Felton, L Bishop, T Sass, Oliver Polgar, M Bakali, N Hawkings, T Chalder, Mujtaba Husain, B Jayaraman, Hannah Bayes, Vicky Kamwa, B Hargadon, Y Peng, C Jolley, D Matila, Clare E. Mackay, J Worsley, R Dharmagunawardena, R Samuel, L Fabbri, R Russell, K Bhui, David W. Clark, S Heller, Anne Dell, J Nyaboko, N Huneke, Michael Marks, L Hesselden, A Greenhalgh, L Broad, M Bakau, Susan P. Walker, Marlies Ostermann, Smitaa Patel, E Fraser, R I Evans, V Whitehead, S Ahmad, C King, B Young, David T Arnold, Paul Klenerman, S Dunn, H McAuley, D Faluyi, B Holroyd-Hind, H Qureshi, E Bradley, Brendan G Cooper, P Shah, L Houchen, Shelley Fletcher, Todd Evans, Andrew Smith, Jill Walsh, Amanda F. Elliott, V Harris, L Holdsworth, A Ford, R Saunders, K Vellore, Jonathan Finch, A McGovern, D Nicoll, A Briggs, J Oxton, G A Davies, Milton Ashworth, T I de Silva, V Lewis, James Stockley, S Byrne, Alison G. Harvey, M Sereno, Marc Lipman, S Terry, A Moss, L. McMorrow, Nick A Maskell, Annemarie B Docherty, R Sabit, J Kenneth Baillie, Jennifer M. Short, Louise Stadon, Aziz Sheikh, S A Williams-Howard, Atul Gupta, D Altmann, J Cavanagh, S Francis, E. Perkins, E McIvor, P Atkin, Julie Williams, D Sutherland, J Rangeley, Derek Bell, J Valabhji, J K Baillie, Isobel D. Stewart, P McCourt, P Rivera-Ortega, N J Greening, Anthony De Soyza, M Dalton, Group, PHOSP-COVID Collaborative, Apollo - University of Cambridge Repository, Baguley, David, National Institute for Health Research, UKRI MRC COVID-19 Rapid Response Call, and UK Research and Innovation
Subjects: Adult, Male, Pulmonary and Respiratory Medicine, Pediatrics, medicine.medical_specialty, Health Status, medicine.medical_treatment, MEDLINE, Comorbidity, Disease, Logistic regression, PHOSP-COVID Collaborative Group, 1117 Public Health and Health Services, Cognition, SDG 3 - Good Health and Well-being, medicine, Humans, Prospective Studies, Prospective cohort study, Aged, Mechanical ventilation, United Kingdom/epidemiology, business.industry, COVID-19, 1103 Clinical Sciences, Articles, Middle Aged, Mental health, United Kingdom, Middle age, Hospitalization, Mental Health, Acute Disease, COVID-19/complications, Female, business, 1199 Other Medical and Health Sciences, Follow-Up Studies
Abstract: Background The impact of COVID-19 on physical and mental health and employment after hospitalisation with acute disease is not well understood. The aim of this study was to determine the effects of COVID-19-related hospitalisation on health and employment, to identify factors associated with recovery, and to describe recovery phenotypes. Methods The Post-hospitalisation COVID-19 study (PHOSP-COVID) is a multicentre, long-term follow-up study of adults (aged ≥18 years) discharged from hospital in the UK with a clinical diagnosis of COVID-19, involving an assessment between 2 and 7 months after discharge, including detailed recording of symptoms, and physiological and biochemical testing. Multivariable logistic regression was done for the primary outcome of patient-perceived recovery, with age, sex, ethnicity, body-mass index, comorbidities, and severity of acute illness as covariates. A post-hoc cluster analysis of outcomes for breathlessness, fatigue, mental health, cognitive impairment, and physical performance was done using the clustering large applications k-medoids approach. The study is registered on the ISRCTN Registry (ISRCTN10980107). Findings We report findings for 1077 patients discharged from hospital between March 5 and Nov 30, 2020, who underwent assessment at a median of 5·9 months (IQR 4·9–6·5) after discharge. Participants had a mean age of 58 years (SD 13); 384 (36%) were female, 710 (69%) were of white ethnicity, 288 (27%) had received mechanical ventilation, and 540 (50%) had at least two comorbidities. At follow-up, only 239 (29%) of 830 participants felt fully recovered, 158 (20%) of 806 had a new disability (assessed by the Washington Group Short Set on Functioning), and 124 (19%) of 641 experienced a health-related change in occupation. Factors associated with not recovering were female sex, middle age (40–59 years), two or more comorbidities, and more severe acute illness. The magnitude of the persistent health burden was substantial but only weakly associated with the severity of acute illness. Four clusters were identified with different severities of mental and physical health impairment (n=767): very severe (131 patients, 17%), severe (159, 21%), moderate along with cognitive impairment (127, 17%), and mild (350, 46%). Of the outcomes used in the cluster analysis, all were closely related except for cognitive impairment. Three (3%) of 113 patients in the very severe cluster, nine (7%) of 129 in the severe cluster, 36 (36%) of 99 in the moderate cluster, and 114 (43%) of 267 in the mild cluster reported feeling fully recovered. Persistently elevated serum C-reactive protein was positively associated with cluster severity. Interpretation We identified factors related to not recovering after hospital admission with COVID-19 at 6 months after discharge (eg, female sex, middle age, two or more comorbidities, and more acute severe illness), and four different recovery phenotypes. The severity of physical and mental health impairments were closely related, whereas cognitive health impairments were independent. In clinical care, a proactive approach is needed across the acute severity spectrum, with interdisciplinary working, wide access to COVID-19 holistic clinical services, and the potential to stratify care. Funding UK Research and Innovation and National Institute for Health Research.
Published: 2021

7. Metabolomic differences in lung function metrics: evidence from two cohorts

Author: Hanna M. Knihtilä, David Sparrow, Jessica Lasky-Su, Avron Spiro, Pantel S. Vokonas, Claudia Langenberg, Haley Bayne, Augusto A. Litonjua, Rachel S. Kelly, Nicholas J. Wareham, Priyadarshini Kachroo, Scott T. Weiss, and Isobel D. Stewart
Subjects: Pulmonary and Respiratory Medicine, Oncology, Adult, Male, Vital capacity, medicine.medical_specialty, Metabolite, Population, Vital Capacity, Article, FEV1/FVC ratio, chemistry.chemical_compound, Metabolomics, Internal medicine, Forced Expiratory Volume, Metabolome, Medicine, Humans, Respiratory function, Prospective Studies, education, Lung, education.field_of_study, business.industry, Respiratory Function Tests, chemistry, business, Body mass index
Abstract: RationaleThe biochemical mechanisms underlying lung function are incompletely understood.ObjectivesTo identify and validate the plasma metabolome of lung function using two independent adult cohorts: discovery—the European Prospective Investigation into Cancer–Norfolk (EPIC-Norfolk, n=10 460) and validation—the VA Normative Aging Study (NAS) metabolomic cohort (n=437).MethodsWe ran linear regression models for 693 metabolites to identify associations with forced expiratory volume in one second (FEV1) and the ratio of FEV1 to forced vital capacity (FEV1/FVC), in EPIC-Norfolk then validated significant findings in NAS. Significance in EPIC-Norfolk was denoted using an effective number of tests threshold of 95%; a metabolite was considered validated in NAS if the direction of effect was consistent and pMeasurements and main resultsOf 156 metabolites that associated with FEV1 in EPIC-Norfolk after adjustment for age, sex, body mass index, height, smoking and asthma status, 34 (21.8%) validated in NAS, including several metabolites involved in oxidative stress. When restricting the discovery sample to men only, a similar percentage, 18 of 79 significant metabolites (22.8%) were validated. A smaller number of metabolites were validated for FEV1/FVC, 6 of 65 (9.2%) when including all EPIC-Norfolk as the discovery population, and 2 of 34 (5.9%) when restricting to men. These metabolites were characterised by involvement in respiratory track secretants. Interestingly, no metabolites were validated for both FEV1 and FEV1/FVC.ConclusionsThe validation of metabolites associated with respiratory function can help to better understand mechanisms of lung health and may assist the development of biomarkers.
Published: 2021

8. Circulating proteins to predict adverse COVID-19 outcomes

Author: Edgar Gonzalez-Kozlova, David R. Morrison, Branka Vulesevic, Nofar Kimchi, Robert Marvin, Maik Pietzner, Zaman Afrasiabi, Kimberly Argueta, Louis Petitjean, Naomi Duggan, Ryan Thompson, Meriem Bouab, Manishkumar Patel, Kevin Tuballes, Ieisha Scott, J. Brent Richards, Mario A. Cedillo, Nicole W. Simons, Jocelyn Harris, Tala Abdullah, Claudia Langenberg, Danielle Henry, Vincenzo Forgetta, Daniel Kaufmann, Madeleine Durand, Chen-Yang Su Mr., Michael A Hinterberg, Elsa Brunet-Ratnasingham, Celia M. T. Greenwood, Miriam Merad, Wonseok Jeon, Alexander W. Charney, Sacha Gnjatic, Noam D. Beckmann, Xiaoqing Xue, Nicolas Zaki, Julia Carrasco-Zanini, Diane Marie Del Valle, Joelle Pineau, Esther Cheng, Tomoko Nakanishi, Olumide Adeleye, Kai Nie, Chantal DeLuca, Konstantinos Mouskas, Thomas U. Marron, Marc Afilalo, Guillaume Butler-Laporte, Yiheng Chen, Yossi Farjoun, Yara Moussa, Vincent Mooser, Eric E. Schadt, Clare Paterson, Noor Almamlouk, Chris Tselios, Nathalie Brassard, Sirui Zhou, Hui Xie, Ephraim Kenigsberg, Nardin Rezk, Seunghee Kim-Schulze, Laetitia Laurent, Charlotte Guzman, Erwin Schurr, and Joanthan Afilalo
Subjects: Oncology, medicine.medical_specialty, Receiver operating characteristic, Coronavirus disease 2019 (COVID-19), business.industry, medicine.medical_treatment, Disease progression, Age and sex, Cytokine, Internal medicine, Cohort, Medicine, Generalizability theory, business, Predictive modelling
Abstract: Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4,701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundances and clinical risk factors to predict adverse COVID-19 outcomes in 417 subjects and tested these models in a separate cohort of 569 individuals. For severe COVID-19, a baseline model including age and sex provided an area under the receiver operator curve (AUC) of 65% in the test cohort. Selecting 92 proteins from the 4,701 unique protein abundances improved the AUC to 88% in the training cohort, which remained relatively stable in the testing cohort at 86%, suggesting good generalizability. Proteins selected from different adverse COVID-19 outcomes were enriched for cytokine and cytokine receptors, but more than half of the enriched pathways were not immune-related. Taken together, these findings suggest that circulating proteins measured at early stages of disease progression are reasonably accurate predictors of adverse COVID-19 outcomes. Further research is needed to understand how to incorporate protein measurement into clinical care.
Published: 2021

9. Utility of Genetically Predicted Lp(a) (Lipoprotein [a]) and ApoB Levels for Cardiovascular Risk Assessment

Author: George Thanassoulis, James C. Engert, Haoyu Wu, Claudia Langenberg, Vincent Mooser, Vincenzo Forgetta, Nicholas J. Wareham, J. Brent Richards, and Jian'an Luan
Subjects: Male, A lipoprotein, medicine.medical_specialty, Apolipoprotein B, Risk Assessment, Internal medicine, Humans, Medicine, Prospective Studies, Aged, biology, Atherosclerotic cardiovascular disease, business.industry, General Medicine, Middle Aged, Atherosclerosis, Endocrinology, Apolipoprotein B-100, biology.protein, Female, lipids (amino acids, peptides, and proteins), Polygenic risk score, business, Risk assessment, Lipoprotein(a), Lipoprotein
Abstract: Background: Current lipid guidelines suggest measurement of Lp(a) (lipoprotein[a]) and ApoB (apolipoprotein B) for atherosclerotic cardiovascular disease risk assessment. Polygenic risk scores (PRSs) for Lp(a) and ApoB may identify individuals unlikely to have elevated Lp(a) or ApoB and thus reduce such suggested testing. Methods: PRSs were developed using least absolute shrinkage and selection operator regression among 273 222 and 356 958 UK Biobank participants of white British ancestry for Lp(a) and ApoB, respectively, and validated in separate sets of 60 771 UK Biobank and 15 050 European Prospective Investigation into Cancer and Nutrition-Norfolk participants. We then assessed the proportion of participants who, based on these PRSs, were unlikely to benefit from Lp(a) or ApoB measurements, according to current lipid guidelines. Results: In the UK Biobank and European Prospective Investigation into Cancer and Nutrition-Norfolk cohorts, the area under the receiver operating curve for the PRS-predicted Lp(a) and ApoB to identify individuals with elevated Lp(a) and ApoB was at least 0.91 (95% CI, 0.90–0.92) and 0.74 (95% CI, 0.73–0.75), respectively. The Lp(a) PRS and measured Lp(a) showed comparable association with atherosclerotic cardiovascular disease incidence, whereas the ApoB PRS was in general less predictive of atherosclerotic cardiovascular disease risk than measured ApoB. In the context of the European Society of Cardiology/European Atherosclerosis Society lipid guidelines, at a 95% sensitivity to identify individuals with elevated Lp(a) and ApoB levels, at least 54% of Lp(a) and 24% of ApoB testing could be reduced by prescreening with a PRS while maintaining a low false-negative rate. Conclusions: A substantial proportion of suggested testing for elevated Lp(a) and a modest proportion of testing for elevated ApoB could potentially be reduced by prescreening individuals with PRSs.
Published: 2021

10. The genomics of heart failure: design and rationale of the HERMES consortium

Author: Svati H. Shah, Olle Melander, Neneh Sallah, Quinn S. Wells, Jerome I. Rotter, Faye Zhao, Charlotte Andersson, Guðmundur Thorgeirsson, Ghazaleh Fatemifar, Alex S. F. Doney, Michael E. Dunn, David E. Lanfear, Ian Ford, Eric Boersma, Sonia Shah, Christopher Newton-Cheh, Douglas L. Mann, Niek Verweij, Carolina Roselli, Laura M. Yerges-Armstrong, Jian Yang, Christian Torp-Pedersen, Veikko Salomaa, Mary L. Biggs, Alaa Shalaby, Christoph Nowak, Stefan Gross, Patrick T. Ellinor, Mari Liis Tammesoo, Diane T. Smelser, Peter M. Visscher, Hans L. Hillege, Ruth C. Lovering, Honghuang Lin, Colin N. A. Palmer, Louis Philippe Lemieux Perreault, Jeffrey Brandimarto, Uwe Völker, Perttu Salo, Andrea Koekemoer, Rebecca Gutmann, Åsa K. Hedman, Nilesh J. Samani, Heming Xing, Faiez Zannad, Jaison Jacob, Harry Hemingway, Michael R. Brown, Franco Giulianini, Anubha Mahajan, Xing Chen, Alexander Niessner, Peter Almgren, Daniel I. Swerdlow, Gunnar Engström, Lars Lind, Tõnu Esko, Tomasz Czuba, Anna Helgadottir, Harvey D. White, David J. Stott, Johan Ärnlöv, Lars Køber, Chim C. Lang, Krishna G. Aragam, Kent D. Taylor, Anders Mälarstig, Frederick K. Kamanu, Kenneth B. Margulies, Michelle L. O'Donoghue, Andrew D. Morris, Sahar Ghasemi, J. Wouter Jukema, Jessica van Setten, Abbas Dehghan, Guillaume Paré, Luca A. Lotta, Giorgio E. M. Melloni, Albert Henry, Bruce M. Psaty, Paul M. Ridker, David J. Carey, Marie-Pierre Dubé, John S. Gottdiener, Xiaosong Wang, Per H. Svensson, Xu Chen, Patrik K. E. Magnusson, Claudia Langenberg, Alexander Teumer, Vilmantas Giedraitis, Simon de Denus, Michael W. Nagle, Marcus Dörr, Thomas P. Cappola, André G. Uitterlinden, Michael Morley, Eliana Portilla-Fernandez, J. Gustav Smith, Abirami Veluchamy, Peter Weeke, Ify R. Mordi, Unnur Thorsteinsdottir, Naveed Sattar, Folkert W. Asselbergs, Daniel I. Chasman, Daníel F. Guðbjartsson, Jonathan H. Chung, Marcus E. Kleber, Raul Weiss, Christopher P. Nelson, Spiros Denaxas, Bing Yu, Simon P. R. Romaine, Nicholas A Marston, Anjali T. Owens, Cecilia M. Lindgren, John J.V. McMurray, Joshua D. Backman, Michael V. Holmes, Stella Trompet, Hilma Holm, Kerri L. Wiggins, Jian'an Luan, Stephan B. Felix, Yifan Yang, Jemma B. Wilk, Maryam Kavousi, Markus Perola, Christian T. Ruff, Jean-Claude Tardif, G Sveinbjörnsson, Samuel C. Dudley, Nicholas J. Wareham, Teemu J. Niiranen, Andrew P. Morris, Danny Tuckwell, Maris Teder-Laving, R. Thomas Lumbers, James P. Cook, Géraldine Asselin, William A. Chutkow, Winfried März, Steven A. Lubitz, John G.F. Cleland, Bill Kraus, Ramachandran S. Vasan, Christopher M. Haggerty, Olympe Chazara, Chris Finan, Heather L. Bloom, Hans-Peter Brunner-La Rocca, Francoise Fougerousse, Kenneth Rice, Craig L. Hyde, Graciela E. Delgado, Mark Chaffin, Marc S. Sabatine, Alanna C. Morrison, Kay-Tee Khaw, Kari Stefansson, Felix Vaura, Barry London, Isabella Kardys, Aroon D. Hingorani, Hongsheng Gui, Steen Stender, René Fouodjio, Mohsen Ghanbari, Pim van der Harst, Nicholas L. Smith, Karoline Kuchenbaecker, Adriaan A. Voors, Benoit Tyl, University College of London [London] (UCL), University College London Hospitals (UCLH), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Lund University [Lund], Pfizer, Karolinska Institutet [Stockholm], Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of Groningen [Groningen], University of Oxford [Oxford], Dalarna University, Massachusetts General Hospital [Boston], Montreal Heart Institute - Institut de Cardiologie de Montréal, Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, University of Washington [Seattle], Emory University [Atlanta, GA], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Pennsylvania [Philadelphia], The University of Texas Health Science Center at Houston (UTHealth), Maastricht University Medical Centre (MUMC), Maastricht University [Maastricht], Department of Molecular and Functional Genomics, Geisinger, Danville, PA, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), AstraZeneca, Novartis Institutes for BioMedical Research (NIBR), University of Glasgow, University of Liverpool, Université de Montréal (UdeM), Imperial College London, University of Heidelberg, Medical Faculty, University of Dundee, Universität Greifswald - University of Greifswald, University of Minnesota Medical School, University of Minnesota System, German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), Institut de Recherches Internationales Servier [Suresnes] (IRIS), Uppsala University, University of Maryland School of Medicine, University of Maryland System, University of Iceland [Reykjavik], deCODE genetics [Reykjavik], Henry Ford Hospital, Carver College of Medicine, University of Iowa, Geisinger Autism & Developmental Medicine Institute [Danville, PA, USA] (ADMI), ICIN - Netherlands Heart Institute, Leiden University Medical Center (LUMC), Netherlands Heart Institute, Partenaires INRAE, University of Cambridge [UK] (CAM), Rigshospitalet [Copenhagen], Copenhagen University Hospital, University of Leicester, Duke University [Durham], University of Iowa [Iowa City], Genentech, Inc., Genentech, Inc. [San Francisco], Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Skane University Hospital [Malmo], University of Edinburgh, Medizinische Universität Wien = Medical University of Vienna, University of Turku, National Institute for Health and Welfare [Helsinki], McMaster University [Hamilton, Ontario], Kaiser Permanente Washington Health Research Institute [Seattle] (KPWHRI), Harbor UCLA Medical Center [Torrance, Ca.], University Medical Center [Utrecht], University of Pittsburgh Medical Center [Pittsburgh, PA, États-Unis] (UPMC), University of Tartu, Aalborg University [Denmark] (AAU), Leiden University, University of Queensland [Brisbane], Ohio State University [Columbus] (OSU), Auckland City Hospital, GlaxoSmithKline, Glaxo Smith Kline, University of Texas Health Science Center, Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Duke University Medical Center, Regeneron Pharmaceuticals [Tarrytown], Vanderbilt University [Nashville], European Project, Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Cardiology, University of Oxford, University of Pennsylvania, Universiteit Leiden, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H02 Cardiomyopathy, Epidemiology, and Internal Medicine
Subjects: Male, Study Designs, Cardiomyopathy, Disease, 030204 cardiovascular system & hematology, 0302 clinical medicine, AFRICAN ANCESTRY, Epidemiology, 80 and over, WIDE ASSOCIATION, EPIDEMIOLOGY, Cardiac and Cardiovascular Systems, AGING RESEARCH, RISK, Aged, 80 and over, 0303 health sciences, Kardiologi, Genomics, Middle Aged, Prognosis, 3. Good health, Female, Cardiology and Cardiovascular Medicine, medicine.medical_specialty, Heart failure, CLASSIFICATION, Heart Failure/genetics, 03 medical and health sciences, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, Genetic model, medicine, Genetics, Diseases of the circulatory (Cardiovascular) system, Humans, Allele frequency, Genotyping, METAANALYSIS, 030304 developmental biology, Aged, Association studies, Study Design, business.industry, Odds ratio, ADULTS, COHORTS, medicine.disease, RC666-701, REPLICATION, business, Biomarkers, Genome-Wide Association Study
Abstract: Aims The HERMES (HEart failure Molecular Epidemiology for Therapeutic targets) consortium aims to identify the genomic and molecular basis of heart failure.Methods and results The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of >1.10 for common variants (allele frequency > 0.05) and >1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 x 10(-8) under an additive genetic model.Conclusions HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.
Published: 2021

11. Weight Change and the Onset of Cardiovascular Diseases: Emulating Trials Using Electronic Health Records

Author: Riyaz S. Patel, R. Thomas Lumbers, Konstantinos K. Tsilidis, Rachel L. Batterham, Goya Wannamethee, Michail Katsoulis, Karla Diaz-Ordaz, Spiros Denaxas, Pagona Lagiou, Alvina G. Lai, Claudia Langenberg, Constantinos A. Parisinos, Harry Hemingway, Bianca De Stavola, Amitava Banerjee, Manuel Gomes, Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: medicine.medical_specialty, Epidemiology, Overweight, Lower risk, 1117 Public Health and Health Services, Body Mass Index, Weight loss, Risk Factors, Internal medicine, medicine, Electronic Health Records, Humans, business.industry, 0104 Statistics, Weight change, Absolute risk reduction, medicine.disease, Obesity, Cross-Sectional Studies, Chronic Diseases, Cardiovascular Diseases, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, medicine.symptom, business, Weight gain, Body mass index
Abstract: Supplemental Digital Content is available in the text., Background: Cross-sectional measures of body mass index (BMI) are associated with cardiovascular disease (CVD) incidence, but less is known about whether weight change affects the risk of CVD. Methods: We estimated the effect of 2-y weight change interventions on 7-y risk of CVD (CVD death, myocardial infarction, stroke, hospitalization from coronary heart disease, and heart failure) by emulating hypothetical interventions using electronic health records. We identified 138,567 individuals with 45–69 years of age without chronic disease in England from 1998 to 2016. We performed pooled logistic regression, using inverse-probability weighting to adjust for baseline and time-varying confounders. We categorized each individual into a weight loss, maintenance, or gain group. Results: Among those of normal weight, both weight loss [risk difference (RD) vs. weight maintenance = 1.5% (0.3% to 3.0%)] and gain [RD = 1.3% (0.5% to 2.2%)] were associated with increased risk for CVD compared with weight maintenance. Among overweight individuals, we observed moderately higher risk of CVD in both the weight loss [RD = 0.7% (−0.2% to 1.7%)] and the weight gain group [RD = 0.7% (−0.1% to 1.7%)], compared with maintenance. In the obese, those losing weight showed lower risk of coronary heart disease [RD = −1.4% (−2.4% to −0.6%)] but not of stroke. When we assumed that chronic disease occurred 1–3 years before the recorded date, estimates for weight loss and gain were attenuated among overweight individuals; estimates for loss were lower among obese individuals. Conclusion: Among individuals with obesity, the weight-loss group had a lower risk of coronary heart disease but not of stroke. Weight gain was associated with increased risk of CVD across BMI groups. See video abstract at, http://links.lww.com/EDE/B838.
Published: 2021

12. Mapping genetic determinants of 184 circulating proteins in 26,494 individuals to connect proteins and diseases

Author: Erin Macdonald-Dunlop, Lucija Klarić, Lasse Folkersen, Paul R.H.J. Timmers, Stefan Gustafsson, Jing Hua Zhao, Niclas Eriksson, Anne Richmond, Stefan Enroth, Niklas Mattsson-Carlgren, Daria V. Zhernakova, Anette Kalnapenkis, Martin Magnusson, Eleanor Wheeler, Shih-Jen Hwang, Yan Chen, Andrew P Morris, Bram Prins, Urmo Võsa, Nicholas J. Wareham, John Danesh, Johan Sundstrom, Bruna Gigante, Damiano Baldassarre, Rona J. Strawbridge, Harry Campbell, Ulf Gyllensten, Chen Yao, Daniela Zanetti, Themistocles L. Assimes, Per Eriksson, Daniel Levy, Claudia Langenberg, J. Gustav Smith, Tõnu Esko, Jingyuan Fu, Oskar Hansson, Åsa Johansson, Caroline Hayward, Lars Wallentin, Agneta Siegbahn, Lars Lind, Adam S. Butterworth, Karl Michaëlsson, James E. Peters, Anders Mälarstig, Peter K. Joshi, and James F. Wilson
Subjects: Genetics, medicine.medical_specialty, Genetic epidemiology, Expression quantitative trait loci, DNA methylation, medicine, Medical genetics, Disease, Quantitative trait locus, Biology, medicine.disease, Inflammatory bowel disease, Genetic architecture
Abstract: We performed the largest genome-wide meta-analysis (GWAMA) (Max N=26,494) of the levels of 184 cardiovascular-related plasma protein levels to date and reported 592 independent loci (pQTL) associated with the level of at least one protein (1308 significant associations, median 6 per protein). We estimated that only between 8-37% of testable pQTL overlap with established expression quantitative trait loci (eQTL) using multiple methods, while 132 out of 1064 lead variants show evidence for transcription factor binding, and found that 75% of our pQTL are known DNA methylation QTL. We highlight the variation in genetic architecture between proteins and that proteins share genetic architecture with cardiometabolic complex traits. Using cis-instrument Mendelian randomisation (MR), we infer causal relationships for 11 proteins, recapitulating the previously reported relationship between PCSK9 and LDL cholesterol, replicating previous pQTL MR findings and discovering 16 causal relationships between protein levels and disease. Our MR results highlight IL2-RA as a candidate for drug repurposing for Crohn’s Disease as well as 2 novel therapeutic targets: IL-27 (Crohn’s disease) and TNFRSF14 (Inflammatory bowel disease, Multiple sclerosis and Ulcerative colitis). We have demonstrated the discoveries possible using our pQTL and highlight the potential of this work as a resource for genetic epidemiology.
Published: 2021

13. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Unnur Styrkarsdottir, Lynda M. Rose, Rehannah Borup, Anne B. Newman, Georgia Chenevix-Trench, Chikashi Terao, Jeremy A. Daniel, Christa Meisinger, Albert V. Smith, Emil Peter Thrane Hertz, Raymond Noordam, Wei He, Jennifer A. Smith, Mikael Eriksson, Konstantin Strauch, Daniel I. Chasman, Nicholas J. Timpson, Melissa A. Troester, Claudia Langenberg, Montserrat Garcia-Closas, Mohammad Arfan Ikram, Sara Lindström, Gad Rennert, Pascal Guénel, Kristina W. Olsen, Pierre Fontanillas, Ozren Polasek, Daniel F. Gudbjartsson, Frank B. Hu, Archie Campbell, Celine M. Vachon, Sheila Ulivi, Robin N Beaumont, Robert Karlsson, Lenore J. Launer, Renée de Mutsert, Annette Peters, David Schlessinger, Stefania Bandinelli, Rico Rueedi, Joop S.E. Laven, Pascal Timshel, Joanne M. Murabito, Kuang Lin, Jazib Hussain, Dennis O. Mook-Kanamori, Manjeet K. Bolla, Catherine E. Aiken, Javier Martin Gonzalez, Simon S. Cross, Immaculata De Vivo, Paul M. Ridker, Christopher A. Haiman, Gerardo Heiss, Jessica Tyrrell, Paul R. H. J. Timmers, Hironori Abe, Mike A. Nalls, Luigi Ferrucci, Natalia Perjakova, Jouke J. Hottenga, Robin G. Walters, Reedik Mägi, Niclas Håkansson, Miriam Dwek, Barbara McKnight, Sandra Turon, Stasa Stankovic, Linda Broer, Stephen J. Chanock, Martina La Bianca, Jenny Chang-Claude, Loic Le Marchand, Hamdi Mbarek, Doris Stöckl, Andrew F. Olshan, Graham G. Giles, James F. Wilson, Micaella Joaquim, Amruta Shrikhande, Eva Hoffmann, Stefania Benonisdottir, Ana Martínez-Marchal, Anthony J. Swerdlow, David Karasik, Nicholas J. Wareham, Peter A. Fasching, Jane L. Tarry-Adkins, Charles Kooperberg, Peter Vollenweider, Douglas F. Easton, Paula Aguilera, Jessica D. Faul, Patrik K. E. Magnusson, Emmanouil Saloustros, Alpa V. Patel, Ellen W. Demerath, Qin Wang, Aditya Sankar, Christopher G. Scott, Iffat Rahman, Sharon L.R. Kardia, Peter K. Joshi, Caterina Barbieri, Claus Yding Andersen, Tõnu Esko, Massimo Mezzavilla, Nicholas G. Martin, Rebecca D. Jackson, Alison D. Murray, Marina Ciullo, Nicholas Bowker, Anna Murray, Patrick Deelen, Zoltán Kutalik, Alicja Wolk, Manuela Gago-Dominguez, Eleonora Porcu, Laura Crisponi, Michela Traglia, Katharina E. Schraut, Antonietta Robino, Chunyan He, Bruce H. R. Wolffenbuttel, Henry Völzke, Daniela Ruggiero, John R. B. Perry, Lude Franke, Igor Rudan, Angela Cox, Unnur Þorsteinsdottir, Christian Gieger, David R. Weir, Jodie N. Painter, Martha S. Linet, Massimo Mangino, Melissa C. Southey, Petr Solc, Tim D. Spector, Christiana Kartsonaki, Momoko Horikoshi, Meir J. Stampfer, Eulalia Catamo, Mònica Ferrer-Roda, Ko Willems van Dijk, Daniela Toniolo, Caroline Hayward, Lili Milani, Chloé Sarnowski, Jian'an Luan, Behrooz Z. Alizadeh, Jenny A. Visser, Stig E. Bojesen, Genevieve Lachance, Ulrike Peters, Antonella Mulas, John J. Spinelli, Elnaz Naderi, Andrew R. Wood, Paul D.P. Pharoah, Elinor J. Sawyer, Annique Claringbould, Saleh Shekari, David G. Hunter, Marie Louise Grøndahl, Vilmundur Gudnason, Nora Franceschini, Dale P. Sandler, Dale R. Nyholt, Jacques E. Rossouw, Amber N. Wilcox, Thomas U. Ahearn, Hedy S. Rennert, Olivier B. Bakker, Jingmei Li, Francesco Cucca, Eric Boerwinkle, Matthias W. Beckmann, Cristina Menni, Minouk J. Schoemaker, Esther M. John, Tune H. Pers, Andrés J. López-Contreras, Tanguy Corre, Jonathan Marten, Alice M. Arnold, N. Charlotte Onland-Moret, Lucie Knoblochova, Anna Pujol, Kathryn L. Lunetta, Marjanka K. Schmidt, Teresa Nutile, Serena Sanna, Gonneke Willemsen, Roger L. Milne, Kristan J. Aronson, Frits R. Rosendaal, Murielle Bochud, Ken K. Ong, Susan M. Ring, Nancy L. Pedersen, Blair H. Smith, Ivana Kolcic, Annelie Augustinsson, Jose E. Castelao, Alexander Teumer, Felix R. Day, Sven Bergmann, Timothy M. Frayling, Lauren R. Teras, George Davey Smith, Thomas Meitinger, Alison M. Dunning, Ignasi Roig, Dorret I. Boomsma, Harald Grallert, Toshiko Tanaka, Katherine S. Ruth, Julie E. Buring, Marek Zygmunt, Uwe Völker, Irene L. Andrulis, Håkan Olsson, Harry Campbell, Cari M. Kitahara, Annika Lindblom, Yvonne T. van der Schouw, Cinzia Sala, Debbie A Lawlor, Joe Dennis, Yongmei Liu, Yan Huang, Stephen Burgess, Brumat Marco, Veronique Vitart, Kari Stefansson, Susan E. Ozanne, Kamila Czene, Simin Liu, John L. Hopper, Joyce B. J. van Meurs, Satoshi H. Namekawa, Miya Kudo Høffding, Fergus J. Couch, Ajuna Azad, Eco J. C. de Geus, Liming Li, Grant W. Montgomery, Peter Kraft, André G. Uitterlinden, Arto Mannermaa, Heiko Becher, Allison W. Kurian, Vallari Shukla, Zhengming Chen, Per Hall, Jennifer A. Brody, Rossella Sorice, Wei Zhao, Andres Metspalu, Sarah E. Medland, Tricia Lindstrom, Clarice R. Weinberg, Bruce M. Psaty, Thérèse Truong, Anna Marie Mulligan, Deborah J. Thompson, Patrick Sulem, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Hoffmann, Eva R [0000-0002-2588-0652], Murray, Anna [0000-0002-2351-2522], Roig, Ignasi [0000-0003-0313-3581], Perry, John RB [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Biological Psychology, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, and APH - Health Behaviors & Chronic Diseases
Subjects: Gerontology, Aging, Far East, Endocrinology, Diabetes and Metabolism, Menopause, Premature, Genome-wide association study, VARIANTS, Primary Ovarian Insufficiency, Inbred C57BL, Bioinformatics, DISEASE, Healthy Aging, genetics of ovarian aging, Fragile X Mental Retardation Protein, Mice, Endocrinology, Medicine, EARLY MENOPAUSE, media_common, RISK, Multidisciplinary, Asia, Eastern, Reproduction, Longevity, Middle Aged, Europe, MENDELIAN RANDOMIZATION, Medical genetics, Female, ICEP, Menopause, Adult, Alleles, Animals, Bone and Bones, Checkpoint Kinase 1, Checkpoint Kinase 2, Diabetes Mellitus, Type 2, Diet, Fertility, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mice, Inbred C57BL, Ovary, Uterus, Type 2, medicine.medical_specialty, media_common.quotation_subject, MEDLINE, Biology, Premature ovarian insufficiency, Article, genome-wide meta-analysis, SDG 3 - Good Health and Well-being, GERMLINE, Diabetes Mellitus, Genetic predisposition, Ovarian reserve, Premature, business.industry, Human genetics, CHROMOSOME SYNAPSIS, DNA-DAMAGE, Ageing, EXPRESSION ANALYSIS, business, MEIOTIC CELL-CYCLE
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease. Hundreds of genetic loci associated with age at menopause, combined with experimental evidence in mice, highlight mechanisms of reproductive ageing across the lifespan.
Published: 2021

14. Variants associated with HHIP expression have sex-differential effects on lung function

Author: Carl A. Melbourne, Caroline Hayward, Stefan Karrasch, Dirk Keidel, Katherine A. Fawcett, Susan M. Ring, Yohan Bossé, Carol A. Wang, Ben Michael Brumpton, Claudia Langenberg, Peter K. Joshi, Ke Hao, Igor Rudan, David J. Porteous, Don D. Sin, Raquel Granell, Blair H. Smith, Jian'an Luan, Kristian Hveem, Sarah E. Harris, Sandosh Padmanabhan, Archie Campbell, Sebastian May-Wilson, Veronique Vitart, Nicola Pirastu, Arnulf Langhammer, Craig E. Pennell, John M. Starr, Stefan Weiss, Karina Patasova, Nicholas J. Wareham, James F. Wilson, Deborah Jarvis, Tim D. Spector, Nick Shrine, David P. Strachan, Martin D. Tobin, Beate Stubbe, David M. Evans, Kirsi H. Pietiläinen, Mangino Massimo, Ian P. Hall, Graham L. Hall, Jaakko Kaprio, Ralf Ewert, Rachel E. Foong, Claudia Flexeder, Louise V. Wain, Ma'en Obeidat, Cristen J. Willer, Leo-Pekka Lyytikäinen, Olli T. Raitakari, John Henderson, Konstantin Strauch, Marta R Moksnes, Cosetta Minelli, Nicole Probst-Hensch, Pirro G. Hysi, Anna L. Guyatt, Henry Völzke, Thomas Meitinger, Peter D. Sly, Ozren Polasek, Anne Richmond, Mika Kähönen, Maarten van den Berge, Medea Imboden, Thibaud Boutin, Lucija Klaric, Laura Portas, Terho Lehtimäki, Ian J. Deary, Taina Rantanen, Catherine John, Teemu Palviainen, Fawcett, Katherine A [0000-0002-6675-2112], Obeidat, Ma'en [0000-0002-5443-2752], Shrine, Nick [0000-0003-3641-4371], Weiss, Stefan [0000-0002-3553-4315], May-Wilson, Sebastian [0000-0003-2668-5717], Boutin, Thibaud S [0000-0003-4754-1675], Portas, Laura [0000-0003-1789-1893], Harris, Sarah E [0000-0002-4941-5106], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Palviainen, Teemu [0000-0002-7847-8384], Keidel, Dirk [0000-0003-4706-5728], Minelli, Cosetta [0000-0001-9166-3958], Langenberg, Claudia [0000-0002-5017-7344], Bossé, Yohan [0000-0002-3067-3711], Van den Berge, Maarten [0000-0002-9336-7340], Sin, Don D [0000-0002-0756-6643], Campbell, Archie [0000-0003-0198-5078], Porteous, David [0000-0003-1249-6106], Padmanabhan, Sandosh [0000-0003-3869-5808], Smith, Blair H [0000-0002-5362-9430], Ring, Sue [0000-0003-3103-9330], Rantanen, Taina [0000-0002-1604-1945], Pennell, Craig E [0000-0002-0937-6165], Kaprio, Jaakko [0000-0002-3716-2455], Vitart, Veronique [0000-0002-4991-3797], Hayward, Caroline [0000-0002-9405-9550], Hall, Ian P [0000-0001-9933-3216], Wain, Louise V [0000-0003-4951-1867], Apollo - University of Cambridge Repository, Groningen Research Institute for Asthma and COPD (GRIAC), Technology Centre, University of Helsinki, Institute for Molecular Medicine Finland, Genetic Epidemiology, HUS Abdominal Center, Department of Medicine, Clinicum, CAMM - Research Program for Clinical and Molecular Metabolism, Department of Public Health, Research Programs Unit, Tampere University, Clinical Medicine, Department of Clinical Chemistry, TAYS Heart Centre, and Department of Clinical Physiology and Nuclear Medicine
Subjects: 0301 basic medicine, Spirometry, medicine.medical_specialty, HHIP, Medicine (miscellaneous), Expression, Genome-wide Interaction Study, Hhip, Lung Function, Sex, Single-nucleotide polymorphism, Biology, 3121 Internal medicine, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Genome-wide interaction study, Lung function, Internal medicine, expression, medicine, sex, Allele, Enhancer, Gene, Lung, genome-wide interaction study, medicine.diagnostic_test, 1184 Genetics, developmental biology, physiology, lung function, ALSPAC, Differential effects, 030104 developmental biology, Endocrinology, medicine.anatomical_structure, 030228 respiratory system, 3121 General medicine, internal medicine and other clinical medicine, 3111 Biomedicine
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P-8) interactions with sex on lung function, and 21 showed suggestive interactions (P-6). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV1) (P=3.15x10-15), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV1 more in males (untransformed FEV1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein (HHIP) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10-6), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes.
Published: 2021

15. Liver Function and Risk of Type 2 Diabetes: Bidirectional Mendelian Randomization Study

Author: Diana Kuh, Aroon D. Hingorani, Maria Carolina Borges, Jian'an Luan, Tina Shah, John C. Chambers, Andrew Wong, Claudia Langenberg, Debbie A Lawlor, Juha Auvinen, Sylvain Sebert, N. Maneka G. De Silva, Weihua Zhang, Jorgen Engmann, Tom R. Gaunt, Marjo-Ritta Jarvelin, and Xiaoshuai Zhang
Subjects: Blood Glucose, 0301 basic medicine, medicine.medical_specialty, endocrine system diseases, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Type 2 diabetes, digestive system, 03 medical and health sciences, 0302 clinical medicine, Insulin resistance, Risk Factors, Internal medicine, Diabetes mellitus, Nonalcoholic fatty liver disease, Mendelian randomization, Internal Medicine, medicine, Genetic predisposition, Humans, Aspartate Aminotransferases, business.industry, nutritional and metabolic diseases, Genetics/Genomes/Proteomics/Metabolomics, Alanine Transaminase, Mendelian Randomization Analysis, Fasting, gamma-Glutamyltransferase, medicine.disease, digestive system diseases, 030104 developmental biology, Endocrinology, Diabetes Mellitus, Type 2, Liver, Liver function, Insulin Resistance, business, human activities
Abstract: Liver dysfunction and type 2 diabetes (T2D) are consistently associated. However, it is currently unknown whether liver dysfunction contributes to, results from, or is merely correlated with T2D due to confounding. We used Mendelian randomization to investigate the presence and direction of any causal relation between liver function and T2D risk including up to 64,094 T2D case and 607,012 control subjects. Several biomarkers were used as proxies of liver function (i.e., alanine aminotransferase [ALT], aspartate aminotransferase [AST], alkaline phosphatase [ALP], and γ-glutamyl transferase [GGT]). Genetic variants strongly associated with each liver function marker were used to investigate the effect of liver function on T2D risk. In addition, genetic variants strongly associated with T2D risk and with fasting insulin were used to investigate the effect of predisposition to T2D and insulin resistance, respectively, on liver function. Genetically predicted higher circulating ALT and AST were related to increased risk of T2D. There was a modest negative association of genetically predicted ALP with T2D risk and no evidence of association between GGT and T2D risk. Genetic predisposition to higher fasting insulin, but not to T2D, was related to increased circulating ALT. Since circulating ALT and AST are markers of nonalcoholic fatty liver disease (NAFLD), these findings provide some support for insulin resistance resulting in NAFLD, which in turn increases T2D risk.
Published: 2019

16. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

Author: Phuwanat Sakornsakolpat, James F. Wilson, María Soler Artigas, Beate Stubbe, Nicholas J. Wareham, James D. Crapo, Victoria E. Jackson, Eleftheria Zeggini, Olga G. Troyanskaya, Medea Imboden, A. Mesut Erzurumluoglu, Adam S. Butterworth, Carl A. Melbourne, Ian Sayers, Lars Lind, Stefan Weiss, Margaret M. Parker, Timmers Prhj, Edwin K. Silverman, John C. Whittaker, Ian P. Hall, Ozren Polasek, Mika Kähönen, Katherine A. Fawcett, Anna Hansell, Liming Li, David J. Porteous, Louise V. Wain, Robert A. Scott, Richard Packer, Richard J. Allen, Robin G Walters, Anna L. Guyatt, Terho Lehtimäki, Nicole Probst-Hensch, Shona M. Kerr, Christian Gieger, Matthias Wielscher, Rajesh Rawal, Jing Hua Zhao, John E. Hokanson, Holger Schulz, Nicola F. Reeve, Claudia Langenberg, Ke Hao, Corry-Anke Brandsma, Megan L. Paynton, Vitart, Dmitry Prokopenko, Jennie Hui, Eugene R. Bleecker, Ma'en Obeidat, John Danesh, Ralf Ewert, Benjamin B. Sun, Frank Dudbridge, Jian Zhou, Brian D. Hobbs, Blair H. Smith, Don D. Sin, Dawn L. DeMeo, Joseph C. Maranville, Ida Surakka, Alison Catherine Murray, Nicholas Locantore, Katherine A. Kentistou, Terri H. Beaty, Igor Rudan, Kuang Lin, Amund Gulsvik, Ian J. Deary, Ruth Tal-Singer, Kijoung Song, David C. Nickle, Michael H. Cho, Jian'an Luan, Joshua D. Hoffman, Georg Homuth, Zhengming Chen, Dandi Qiao, Heiko Runz, Per Bakke, Chiara Batini, Caroline Hayward, Stefan Karrasch, Alan James, Andrew P. Morris, Prescott G. Woodruff, Laura M Yerges Armstrong, David Sparrow, Ulf Gyllensten, James P. Cook, Jonathan Marten, Olli T. Raitakari, Nick Shrine, Deborah A. Meyers, Tobin, Ruth Boxall, Marjo-Riitta Järvelin, David P. Strachan, Sarah E. Harris, Philippe Joubert, Stefan Enroth, Xingnan Li, van den Berge M, Anubha Mahajan, Yohan Bossé, Peter K. Joshi, Shrine, Nick [0000-0003-3641-4371], Guyatt, Anna L [0000-0003-1860-6337], Hobbs, Brian D [0000-0001-9564-0745], Sakornsakolpat, Phuwanat [0000-0002-4308-0974], Obeidat, Ma'en [0000-0002-5443-2752], Weiss, Stefan [0000-0002-3553-4315], Kentistou, Katherine A [0000-0002-5816-664X], Sun, Benjamin B [0000-0001-6347-2281], Enroth, Stefan [0000-0002-5056-9137], Vitart, Veronique [0000-0002-4991-3797], Allen, Richard J [0000-0002-8450-3056], Beaty, Terri H [0000-0002-7644-1705], Bossé, Yohan [0000-0002-3067-3711], Joshi, Peter K [0000-0002-6361-5059], Mahajan, Anubha [0000-0001-5585-3420], Murray, Alison [0000-0003-4915-4847], Porteous, David J [0000-0003-1249-6106], Sayers, Ian [0000-0001-5601-5410], Smith, Blair H [0000-0002-5362-9430], Tal-Singer, Ruth [0000-0002-5275-8062], Timmers, Paul RHJ [0000-0002-5197-1267], Troyanskaya, Olga G [0000-0002-5676-5737], Rudan, Igor [0000-0001-6993-6884], Wilson, James F [0000-0001-5751-9178], Zeggini, Eleftheria [0000-0003-4238-659X], Hayward, Caroline [0000-0002-9405-9550], Morris, Andrew P [0000-0002-6805-6014], Butterworth, Adam S [0000-0002-6915-9015], Walters, Robin G [0000-0002-9179-0321], Cho, Michael H [0000-0002-4907-1657], Strachan, David P [0000-0001-7854-1366], Tobin, Martin D [0000-0002-3596-7874], Wain, Louise V [0000-0003-4951-1867], Apollo - University of Cambridge Repository, Institute for Molecular Medicine Finland, Groningen Research Institute for Asthma and COPD (GRIAC), UNIVERSITY OF OULU, and Commission of the European Communities
Subjects: Male, Smoking/genetics, LOCI, Genome-wide association study, VARIANTS, Bioinformatics, Genome-wide association studies, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, GWAS, GENOME-WIDE ASSOCIATION, HERITABILITY, COPD, Lung, 11 Medical and Health Sciences, Genetics & Heredity, Aged, 80 and over, 0303 health sciences, Genetic Predisposition to Disease/genetics, Smoking, 1184 Genetics, developmental biology, physiology, Middle Aged, Polymorphism, Single Nucleotide/genetics, 3. Good health, medicine.anatomical_structure, Meta-analysis, Genome-Wide Association Study/methods, Medical genetics, Female, Life Sciences & Biomedicine, medicine.medical_specialty, Understanding Society Scientific Group, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetics, medicine, Humans, Genetic Predisposition to Disease, 030304 developmental biology, Genetic association, Aged, Respiratory tract diseases, Science & Technology, Case-control study, Lung/physiopathology, 06 Biological Sciences, medicine.disease, Pulmonary Disease, Chronic Obstructive/genetics, respiratory tract diseases, Case-Control Studies, 3111 Biomedicine, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent patient populations. Furthermore, the combined effect of these variants showed generalizability across smokers and never-smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD., Editorial summary: A genome-wide association study in over 400,000 individuals identifies 139 new signals for lung function. These variants can predict chronic obstructive pulmonary disease in independent, trans-ethnic cohorts.
Published: 2019

17. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Author: Panos Deloukas, Christina-Alexandra Schulz, Caren E. Smith, Lu Qi, Mary F. Feitosa, Melissa E. Garcia, Natalia Pervjakova, Denise K. Houston, Michael A. Province, Stavroula Kanoni, Torben Hansen, Jean Shin, Lynda M. Rose, Oscar H. Franco, Yongmei Liu, Trudy Voortman, Marie-Claude Vohl, Luigi Ferrucci, Chloé Sarnowski, Paul S. de Vries, Jose C. Florez, John C. Lieske, Louis Pérusse, Misa Graff, Jian'an Luan, Nicola M. McKeown, Felix R. Day, L. Adrienne Cupples, Qibin Qi, Frank J. A. van Rooij, Robert A. Scott, Josée Dupuis, Stephen S. Rich, Jorma Viikari, Tarunveer S. Ahluwalia, Leo-Pekka Lyytikäinen, Paul M. Ridker, Tomáš Paus, Stephen Turner, Harri Rissanen, Audrey Y. Chu, Albert Hofman, Olli T. Raitakari, Paul Knekt, Daniel I. Chasman, Nita G. Forouhi, Vera Mikkilä, Toshiko Tanaka, Mika Kähönen, George Dedoussis, Minjung Kho, Yun J. Sung, Anne E. Justice, Julius S. Ngwa, Ani Manichaikul, M. Carola Zillikens, Jordi Merino, Dena G. Hernandez, Rozenn N. Lemaitre, Tao Huang, Sharon L.R. Kardia, Jing Hua Zhao, Stefania Bandinelli, Veikko Salomaa, Arne Astrup, Wei Zhao, David S. Siscovick, John Blangero, Zdenka Pausova, Dabeeru C. Rao, Oluf Pedersen, Craig E. Pennell, Wendy H. Oddy, Jose M. Ordovas, Jessica C. Kiefte-de Jong, Marju Orho-Melander, Hassan S. Dashti, Satu Männistö, Tuomo Rankinen, Constantina Papoutsakis, Sherly X. Li, Antti Jula, Kari E. North, Thorkild I. A. Sørensen, André G. Uitterlinden, Alexis C. Frazier-Wood, Nicholas J. Wareham, Ulrika Ericson, Markus Perola, Ioanna P. Kalafati, Renée de Mutsert, Jinyan Huang, Ruifang Li-Gao, Claudia Langenberg, Mike A. Nalls, Olivia Li, Joanne E. Curran, Dennis O. Mook-Kanamori, Niina Eklund, Jerome I. Rotter, Angelo Tremblay, Claude Bouchard, Jennifer A. Smith, Terho Lehtimäki, Mary K. Wojczynski, Carol A. Wang, Epidemiology, Internal Medicine, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Day, Felix [0000-0003-3789-7651], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Forouhi, Nita [0000-0002-5041-248X], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Aging, Calorie, Genotype, Heart Diseases, Receptors, Retinoic Acid, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Locus (genetics), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, White People, Cohort Studies, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Genetic variation, medicine, Humans, Genetic Predisposition to Disease, Obesity, Molecular Biology, Aged, 2. Zero hunger, Genetics, Family aggregation, Membrane Proteins, Genomics, Nutrients, Middle Aged, medicine.disease, 3. Good health, Fibroblast Growth Factors, Psychiatry and Mental health, 030104 developmental biology, Genetic Loci, Meta-analysis, Medical genetics, Female, Energy Intake, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10(−6)) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.
Published: 2019

18. The systematic use of metabolomic epidemiology, biobanks, and electronic medical records for precision medicine initiatives in asthma: findings suggest new guidelines to optimize treatment

Author: Clary B. Clish, Elizabeth W. Karlson, Mengna Huang, Nicholas J. Wareham, Ann Wu, Priyadarshini Kachroo, Michael J. McGeachie, Su H. Chu, Amber Dahlin, Margaret Cote, Kevin M. Mendez, Hannah Knilhtilä, Jessica Lasky-Su, Pei Zhang, Yamini V. Virkud, Claudia Langenberg, Alberta L. Wang, Craig E. Wheelock, Djøra Soeteman, Scott T. Weiss, Meryl Stav, Kathleen Lee-Sarwar, Rachel S. Kelly, and Isobel D. Stewart
Subjects: medicine.medical_specialty, business.industry, Family medicine, Medical record, Asthma findings, Epidemiology, medicine, Precision medicine, business, Biobank
Abstract: The application of large-scale metabolomic profiling provides new opportunities to realize the potential of omics-based precision medicine with regard to asthma. We leveraged over 14,000 individuals from four distinct epidemiological studies. We identified and independently replicated seventeen steroid metabolites that were significantly reduced in individuals with prevalent asthma. Importantly steroid levels were reduced among all individuals with asthma regardless of medication use; however, the largest reduction was associated with inhaled corticosteroids use (ICS) that was further confirmed in a four-year ICS clinical trial. Cortisol levels extracted from electronic medical records confirmed that cortisol is reduced among asthmatics taking ICS over the entire 24-hour period, compared with all other groups. Clinical-grade adrenal suppression in asthmatics on ICS, resulting from substantial reductions in steroid metabolites, represents a larger public health problem than previously recognized. Regular cortisol testing may identify at-risk individuals, enabling personalized treatment modifications and improving overall patient care.
Published: 2021

19. Estimating the Population Benefits of Blood Pressure Lowering: A Wide-Angled Mendelian Randomization Study in UK Biobank

Author: Claudia Langenberg, Susanna C. Larsson, Amy M. Mason, Dipender Gill, Hannah Higgins, Stephen Burgess, Higgins, Hannah [0000-0001-9115-0992], Mason, Amy M [0000-0002-8019-0777], Larsson, Susanna C [0000-0003-0118-0341], Gill, Dipender [0000-0001-7312-7078], Langenberg, Claudia [0000-0002-5017-7344], Burgess, Stephen [0000-0001-5365-8760], and Apollo - University of Cambridge Repository
Subjects: Cardiac & Cardiovascular Systems, Heart disease, Epidemiology, Population impact, Blood Pressure, Disease, cardiovascular disease, Risk Factors, Medicine, Cardiac and Cardiovascular Systems, 1102 Cardiorespiratory Medicine and Haematology, Biological Specimen Banks, education.field_of_study, Kardiologi, Middle Aged, Biobank, Causality, Cardiovascular Diseases, Cohort, Cardiology, Cardiology and Cardiovascular Medicine, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, genetic epidemiology, hypertension, Population, Brief Communication, Polymorphism, Single Nucleotide, Elevated blood, Internal medicine, Mendelian randomization, Diseases of the circulatory (Cardiovascular) system, Humans, Intensive care medicine, education, Aged, Science & Technology, business.industry, Vascular disease, Mendelian Randomization Analysis, medicine.disease, United Kingdom, Confidence interval, Blood pressure, Genetic epidemiology, RC666-701, Cardiovascular System & Cardiology, Blood pressure lowering, business, high blood pressure, Genome-Wide Association Study
Abstract: Background The causal relevance of elevated blood pressure for several cardiovascular diseases (CVDs) is uncertain, as is the population impact of blood pressure lowering. This study systematically assesses evidence of causality for various CVDs in a 2‐sample Mendelian randomization framework, and estimates the potential reduction in the prevalence of these diseases attributable to long‐term population shifts in the distribution of systolic blood pressure (SBP). Methods and Results We investigated associations of genetically predicted SBP as predicted by 256 genetic variants with 21 CVDs in UK Biobank, a population‐based cohort of UK residents. The sample consisted of 376 703 participants of European ancestry, aged 40 to 69 years at recruitment. Genetically predicted SBP was positively associated with 14 of the outcomes ( P Conclusions Risk of many CVDs is influenced by long‐term differences in SBP. The burden of a broad range of CVDs could be substantially reduced by long‐term population‐wide reductions in the distribution of blood pressure.
Published: 2021

20. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Kamil Sicinski, B. Gwen Windham, Nathalie van der Velde, Luigi Ferrucci, Jian'an Luan, Fernando Rivadeneira, Thuy Vy Duong, Ryan Cvejkus, David A. Bennett, José A. Carnicero, Megan L. Grove, Stefan Walter, Cheryl L. Ackert-Bicknell, Joshua R. Lewis, Adam J. Santanasto, David Melzer, Aron S. Buchman, Janice L. Atkins, Garan Jones, Joanne M. Murabito, Shengjun Hong, Stefania Bandinelli, Michelle C. Odden, Leocadio Rodríguez-Mañas, Magnus Karlsson, Erika Kague, Najada Stringa, Francisco J. Garcia, Chia-Ling Kuo, Dominik Spira, Maria Nethander, André G. Uitterlinden, Claes Ohlsson, Jingyun Yang, Sahar Ghasemi, George A. Kuchel, Dan Mellström, Eric Boerwinkle, Pamela Herd, Lisette C. P. G. M. de Groot, Alexander Teumer, M. Carola Zillikens, Alison E. Fohner, Dan E. Arking, Douglas P. Kiel, Kathryn L. Lunetta, Claudia Langenberg, Toshiko Tanaka, David Karasik, Natasja M. van Schoor, Thomas Kocher, Luke C. Pilling, Lars Bertram, Bruce M. Psaty, Philip L. De Jager, Katerina Trajanoska, Martijn Huisman, Joseph M. Zmuda, Mary L. Biggs, Misa Graff, Qihua Tan, Ilja Demuth, Mary K. Wojczynski, Nicholas J. Wareham, Uwe Völker, Chloé Sarnowski, Jones, Garan [0000-0002-8917-3930], Trajanoska, Katerina [0000-0002-3792-4296], Santanasto, Adam J. [0000-0002-6912-2909], Stringa, Najada [0000-0001-6350-452X], Atkins, Janice L. [0000-0003-4919-9068], Lewis, Joshua R. [0000-0003-1003-8443], Luan, Jian’an [0000-0003-3137-6337], Sarnowski, Chloe [0000-0002-6090-7099], Lunetta, Kathryn L. [0000-0002-9268-810X], Cvejkus, Ryan [0000-0001-5287-5341], Nethander, Maria [0000-0003-3688-906X], Yang, Jingyun [0000-0002-3495-3710], Walter, Stefan [0000-0002-6010-7550], Kague, Erika [0000-0002-0266-9424], Graff, Misa [0000-0001-6380-1735], de Groot, Lisette C. P. G. M. [0000-0003-2778-2789], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas J. [0000-0003-1422-2993], Tan, Qihua [0000-0003-3194-0030], Buchman, Aron S. [0000-0002-6426-2742], De Jager, Philip L. [0000-0002-8057-2505], Uitterlinden, Andre G. [0000-0002-7276-3387], Völker, Uwe [0000-0002-5689-3448], Kocher, Thomas [0000-0001-9605-2822], Teumer, Alexander [0000-0002-8309-094X], Bertram, Lars [0000-0002-0108-124X], Melzer, David [0000-0002-0170-3838], Kuchel, George A. [0000-0001-8387-7040], Ferrucci, Luigi [0000-0002-6273-1613], Karasik, David [0000-0002-8826-0530], Rivadeneira, Fernando [0000-0001-9435-9441], Kiel, Douglas P. [0000-0001-8474-0310], Pilling, Luke C. [0000-0002-3332-8454], Apollo - University of Cambridge Repository, Epidemiology, Internal Medicine, VU University medical center, General practice, Epidemiology and Data Science, APH - Aging & Later Life, APH - Personalized Medicine, APH - Societal Participation & Health, Geriatrics, AMS - Ageing & Vitality, Santanasto, Adam J [0000-0002-6912-2909], Atkins, Janice L [0000-0003-4919-9068], Lewis, Joshua R [0000-0003-1003-8443], Luan, Jian'an [0000-0003-3137-6337], Lunetta, Kathryn L [0000-0002-9268-810X], de Groot, Lisette CPGM [0000-0003-2778-2789], Wareham, Nicholas J [0000-0003-1422-2993], Buchman, Aron S [0000-0002-6426-2742], De Jager, Philip L [0000-0002-8057-2505], Uitterlinden, Andre G [0000-0002-7276-3387], Kuchel, George A [0000-0001-8387-7040], Kiel, Douglas P [0000-0001-8474-0310], and Pilling, Luke C [0000-0002-3332-8454]
Subjects: Male, 0301 basic medicine, Aging, Sarcopenia, 45/43, General Physics and Astronomy, Arthritis, Bioinformatics, Cohort Studies, Grip strength, 0302 clinical medicine, Growth Differentiation Factor 5, Genetics research, Aged, 80 and over, Geriatrics, Muscle Weakness, Multidisciplinary, article, Genomics, 631/208/205, Middle Aged, Nutritional Biology, Europe, Meta-analysis, 631/208/212, Medical genetics, Female, medicine.symptom, Cohort study, medicine.medical_specialty, Science, Predictive markers, Polymorphism, Single Nucleotide, HLA-DQ alpha-Chains, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Diabetes mellitus, 692/53/2423, Mendelian randomization, medicine, Life Science, Humans, Genetic Predisposition to Disease, Muscle Strength, Genetic association study, Aged, VLAG, Autoimmune disease, 45, business.industry, 692/308/2056, Muscle weakness, General Chemistry, medicine.disease, 030104 developmental biology, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 × 10−17), arthritis (GDF5 p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing., Muscle weakness has been associated with morbidity and mortality in older people. Here, the authors have investigated this trait further by performing a genome-wide meta-analysis of grip strength and Mendelian randomization to discover causal relationships between muscle weakness and other diseases.
Published: 2021

21. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality : observational and Mendelian randomisation analyses

Author: Eleni Sofianopoulou, Stephen K Kaptoge, Shoaib Afzal, Tao Jiang, Dipender Gill, Thomas E Gundersen, Thomas R Bolton, Elias Allara, Matthew G Arnold, Amy M Mason, Ryan Chung, Lisa A M Pennells, Fanchao Shi, Luanluan Sun, Peter Willeit, Nita G Forouhi, Claudia Langenberg, Stephen J Sharp, Salvatore Panico, Gunnar Engström, Olle Melander, Tammy Y N Tong, Aurora Perez-Cornago, Margareta Norberg, Ingegerd Johansson, Verena Katzke, Bernard Srour, María José Sánchez, Daniel Redondo-Sánchez, Anja Olsen, Christina C Dahm, Kim Overvad, Magritt Brustad, Guri Skeie, Conchi Moreno-Iribas, N Charlotte Onland-Moret, Yvonne T van der Schouw, Konstantinos K Tsilidis, Alicia K Heath, Claudia Agnoli, Vittorio Krogh, Ian H de Boer, Camilla Jannie Kobylecki, Yunus Çolak, Armin Zittermann, Johan Sundström, Paul Welsh, Elisabete Weiderpass, Elom K Aglago, Pietro Ferrari, Robert Clarke, Marie-Christine Boutron, Gianluca Severi, Conor MacDonald, Rui Providencia, Giovanna Masala, Raul Zamora Ros, Jolanda Boer, WM Monique Verschuren, Peggy Cawthon, Louise L Schierbeck, Cyrus Cooper, Matthias B Schulze, Manuela M Bergmann, Anke Hannemann, Stefan Kiechl, Hermann Brenner, Natasja M van Schoor, Juan R Albertorio, Carlotta Sacerdote, Allan Linneberg, Line L Kårhus, José María Huerta, Liher Imaz, Christel Joergensen, Yoav Ben-Shlomo, Annamari Lundqvist, John Gallacher, Naveed Sattar, Angela M Wood, Nicholas J Wareham, Børge G Nordestgaard, Emanuele Di Angelantonio, John Danesh, Adam S Butterworth, Stephen Burgess, Epidemiology and Data Science, APH - Aging & Later Life, APH - Personalized Medicine, and Collaboration, Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies
Subjects: medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Population, Myocardial Infarction, Coronary Disease, Disease, Endocrinology and Diabetes, vitamin D deficiency, 1117 Public Health and Health Services, Endocrinology, Risk Factors, Internal medicine, Internal Medicine, Vitamin D and neurology, Medicine, Humans, Cardiac and Cardiovascular Systems, Myocardial infarction, Prospective Studies, Vitamin D, Prospective cohort study, education, Stroke, education.field_of_study, Kardiologi, Nutrition and Dietetics, business.industry, 1103 Clinical Sciences, Articles, Vitamins, Mendelian Randomization Analysis, Middle Aged, medicine.disease, Vitamin D Deficiency, Näringslära, 1101 Medical Biochemistry and Metabolomics, Dietary Supplements, Endokrinologi och diabetes, business, Cohort study
Abstract: Background Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. Methods Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. Findings Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically-predicted 25(OH)D with coronary heart disease, stroke, or all-cause mortality. However, for the participants with vitamin D deficiency (25[OH]D concentration Interpretation Stratified Mendelian randomisation analyses suggest a causal relationship between 25(OH)D concentrations and mortality for individuals with low vitamin D status. Our findings have implications for the design of vitamin D supplementation trials, and potential disease prevention strategies. Funding British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
Published: 2021

22. Diabetes Mellitus, Glycemic Traits, and Cerebrovascular Disease: A Mendelian Randomization Study

Author: Eric L. Harshfield, Claudia Langenberg, Marios K. Georgakis, Rainer Malik, Nora Franceschini, Hugh S. Markus, Nicholas J. Wareham, Martin Dichgans, Georgakis, Marios K [0000-0003-3507-3659], Harshfield, Eric L [0000-0001-8767-0928], Malik, Rainer [0000-0001-9212-2520], Franceschini, Nora [0000-0001-9755-2175], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas J [0000-0003-1422-2993], Markus, Hugh S [0000-0002-9794-5996], Dichgans, Martin [0000-0002-0654-387X], and Apollo - University of Cambridge Repository
Subjects: Carotid Artery Diseases, Blood Glucose, 0301 basic medicine, epidemiology [Atrophy], metabolism [Diabetes Mellitus, Type 2], Glycated Hemoglobin A, endocrine system diseases, genetics [Cerebrovascular Disorders], epidemiology [Cerebral Hemorrhage], Type 2 diabetes, 030204 cardiovascular system & hematology, 0302 clinical medicine, pathology [Brain], Insulin-Secreting Cells, metabolism [Glycated Hemoglobin], genetics [Insulin Resistance], epidemiology [Ischemic Stroke], Stroke, metabolism [Blood Glucose], 0303 health sciences, epidemiology [Diabetes Mellitus, Type 2], Brain, Mendelian Randomization Analysis, epidemiology [Hyperglycemia], White Matter, genetics [Carotid Artery Diseases], 3. Good health, Cardiology, genetics [Atrophy], medicine.medical_specialty, genetics [Cerebral Hemorrhage], metabolism [Glycated Hemoglobin A], genetics [Diabetes Mellitus, Type 2], diagnostic imaging [White Matter], 03 medical and health sciences, Insulin resistance, Internal medicine, Diabetes mellitus, Mendelian randomization, epidemiology [Carotid Artery Diseases], medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, cardiovascular diseases, ddc:610, Risk factor, diagnostic imaging [Brain], Cerebral Hemorrhage, Ischemic Stroke, 030304 developmental biology, Glycated Hemoglobin, Intracerebral hemorrhage, business.industry, Type 2 Diabetes Mellitus, genetics [Ischemic Stroke], medicine.disease, Cerebrovascular Disorders, genetics [Hyperglycemia], metabolism [Hyperglycemia], epidemiology [Cerebrovascular Disorders], 030104 developmental biology, Diabetes Mellitus, Type 2, Hyperglycemia, hemoglobin A1c protein, human, Neurology (clinical), Atrophy, Insulin Resistance, business
Abstract: RationaleType 2 diabetes mellitus (T2D) is an established risk factor for cerebrovascular disease but the mechanisms underlying this association remain elusive. Disentangling the causal effects of T2D, hyperglycemia, and pre-diabetic phenotypes (insulin resistance, β-cell dysfunction) on major etiological stroke subtypes (ischemic stroke, intracerebral hemorrhage, ischemic stroke subtypes) could inform the development of preventive strategies.ObjectiveWe employed Mendelian randomization (MR) to explore the effects of genetic predisposition to T2D, hyperglycemia, insulin resistance, and β-cell dysfunction on risk of stroke subtypes and related cerebrovascular phenotypes.Methods and ResultsWe selected instruments for genetic predisposition to T2D, HbA1c levels, fasting glucose levels, insulin resistance, and β-cell dysfunction (proxied by pro-insulin levels) based on published genome-wide association studies (up to 898,130 individuals). Applying two-sample MR, we examined associations with ischemic stroke, intracerebral hemorrhage, and ischemic stroke subtypes (large artery, cardioembolic, small vessel stroke; up to 60,341 cases and 454,450 controls). We further explored associations with the related phenotypes of carotid atherosclerosis, imaging markers of cerebral white matter integrity, and brain atrophy. Genetic predisposition to T2D and elevated HbA1c levels in the pre-diabetic range were associated with higher risk of any ischemic stroke, large artery stroke, carotid plaque and small vessel stroke. Independently of HbA1c levels, we further found genetic predisposition to insulin resistance to be associated with large artery and small vessel stroke, whereas predisposition to β-cell dysfunction was associated with small vessel stroke. Predisposition to β-cell dysfunction was further associated with intracerebral hemorrhage, lower grey matter volume, and total brain volume.ConclusionsThis study supports causal effects of T2D and hyperglycemia on large artery and small vessel stroke. We show differential effects of genetically determined insulin resistance and β-cell dysfunction on large artery and small vessel stroke that might have implications for anti-diabetic treatments targeting these mechanisms.
Published: 2021
Full Text: View/download PDF

23. Genetic studies of leptin concentrations implicate leptin in the regulation of early adiposity

Author: Daniel I. Chasman, Torben Hansen, Rebecca S. Fine, Kari E. North, Harald Grallert, Jeffrey Haesser, Jie Yao, Arund D. Pradhan, Peter Kovacs, Mariaelisa Graff, Rebecca D. Jackson, Zoltán Kutalik, James G. Wilson, Neil Robertson, Mika Kähönen, Linda S. Adair, Jennifer Kriebel, Ruth J. F. Loos, Massimo Mangino, Jayne F. Martin Carli, Yiying Zhang, M. Arfan Ikram, Paraskevi Christofidou, Linda Broer, Paul M. Ridker, Barbara McKnight, Satu Männistö, Sophia Metz, Tea Skaaby, Jette Bork-Jensen, Craig E. Pennell, Sophie Molnos, Michael A. Province, Xiuqing Guo, Laura B. L. Wittemans, Stephen J. Lye, Cornelia M. van Duijn, Samuli Ripatti, Ko Willems van Dijk, Tim Kacprowski, America A. Sandoval-Zárate, Hermina Jakupović, Tuomas O. Kilpeläinen, Michael Preuss, Jaeyoung Hong, Cristina Venturini, Ying Wu, Germán D. Carrasquilla, Ivana Prokic, Mary F. Feitosa, Melissa E. Garcia, Paul L. Auer, Leslie A. Lange, Leo-Pekka Lyytikäinen, Kristin L. Young, Tugce Karaderi, Alexander P. Reiner, Tim D. Spector, Anubha Mahajan, Claudia Schurmann, Jerome I. Rotter, Rudolph L. Leibel, Georg Homuth, Claudia A. Doege, Hakon Hakonarson, Nicholas J. Wareham, Najaf Amin, Shuai Wang, Matthias Blüher, Ayse Demirkan, Andrew P. Morris, Charles A. LeDuc, Claudia Langenberg, Hanieh Yaghootkar, Mike A. Nalls, Erik Ingelsson, Dennis O. Mook-Kanamori, Jorge R. Kizer, Carolina Medina-Gomez, Timothy M. Frayling, Colleen M. Sitlani, David A. Mackey, Bruce M. Psaty, Matthias Nauck, Struan F.A. Grant, Konstantin Strauch, Olli T. Raitakari, Alexander Teumer, Mark Walker, Jonathan P. Bradfield, Judith B. Borja, Karen L. Mohlke, Lars Lind, André G. Uitterlinden, Renée de Mutsert, Ruifang Li-Gao, Cassandra N. Spracklen, Jin Li, Anne E. Justice, Cecilia M. Lindgren, Kaiying Guo, Terho Lehtimäki, Pekka Jousilahti, Yingchang Lu, Yii-Der Ida Chen, Sara M. Willems, Tamara B. Harris, Matthew A. Allison, Carol A. Wang, Niels Grarup, Lam Opal Huang, Veikko Salomaa, Jian'an Luan, Robert A. Scott, Kent D. Taylor, James B. Meigs, Ophthalmology, Epidemiology, Internal Medicine, Clinical Genetics, Department of Organisation and Personnel Management, Health Services Management & Organisation (HSMO), Yaghootkar, Hanieh [0000-0001-9672-9477], Kilpeläinen, Tuomas O [0000-0002-8349-3028], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Leptin, Models, Molecular, medicine.medical_specialty, Genotype, Protein Conformation, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Genome-wide association study, KLF14, Biology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Internal Medicine, medicine, Missense mutation, Humans, Allele, Exome, Adiposity, 2. Zero hunger, Racial Groups, digestive, oral, and skin physiology, Gene Expression Regulation, Developmental, Genetic Variation, Genetics/Genomes/Proteomics/Metabolomics, medicine.disease, Obesity, 030104 developmental biology, Endocrinology, hormones, hormone substitutes, and hormone antagonists
Abstract: Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only and its association with lower leptin concentrations was specific to this ancestry (P=2x10-16, n=3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting leptin regulates early adiposity.
Published: 2020

24. Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

Author: Peter M. Nilsson, Olov Rolandsson, Eleanor Wheeler, Nicholas J. Wareham, Nita G. Forouhi, Matthias B. Schulze, Kim Overvad, Claudia Langenberg, Nicola D. Kerrison, Pilar Amiano, Catalina Bonet, Mark I. McCarthy, Inês Barroso, Yvonne T. van der Schouw, Lina Cai, Giovanna Masala, José María Huerta, Eva Ardanaz, Anne Tjønneland, Miguel Rodríguez-Barranco, Panos Deloukas, Leif Groop, Guy Fagherazzi, Jian'an Luan, Valeria Pala, Elio Riboli, Carlotta Sacerdote, Rosario Tumino, Paul W. Franks, Annemieke M.W. Spijkerman, Stephen J. Sharp, Salvatore Panico, Rudolf Kaaks, Cai, Lina [0000-0003-2598-8388], Wheeler, Eleanor [0000-0002-8616-6444], Luan, Jian'an [0000-0003-3137-6337], Deloukas, Panos [0000-0001-9251-070X], Groop, Leif C [0000-0002-0187-3263], Huerta, José María [0000-0002-9637-3869], Masala, Giovanna [0000-0002-5758-9069], Nilsson, Peter M [0000-0002-5652-8459], Overvad, Kim [0000-0001-6429-7921], Schulze, Matthias B [0000-0002-0830-5277], Tumino, Rosario [0000-0003-2666-414X], van der Schouw, Yvonne T [0000-0002-4605-435X], Forouhi, Nita G [0000-0002-5041-248X], Barroso, Inês [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], Apollo - University of Cambridge Repository, Luan, Jian’an [0000-0003-3137-6337], Groop, Leif C. [0000-0002-0187-3263], Nilsson, Peter M. [0000-0002-5652-8459], Schulze, Matthias B. [0000-0002-0830-5277], van der Schouw, Yvonne T. [0000-0002-4605-435X], and Forouhi, Nita G. [0000-0002-5041-248X]
Subjects: Gerontology, Data Descriptor, endocrine system diseases, Epidemiology, Type 2 diabetes, 0302 clinical medicine, Risk Factors, Genetics research, 692/699/2743/137/773, 692/308/174, Prospective Studies, lcsh:Science, Prospective cohort study, 0303 health sciences, Diabetis, Diabetes, Computer Science Applications, Europe, Cardiovascular diseases, Endokrinologi och diabetes, Cohort, Statistics, Probability and Uncertainty, data-descriptor, Information Systems, Statistics and Probability, medicine.medical_specialty, MEDLINE, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Endocrinology and Diabetes, Library and Information Sciences, Education, 03 medical and health sciences, medicine, Mortalitat, Humans, Mortality, Life Style, 030304 developmental biology, Genetic association, business.industry, Malalties cardiovasculars, Public health, 692/308/2056, nutritional and metabolic diseases, medicine.disease, Summary statistics, Diabetes Mellitus, Type 2, lcsh:Q, business, Genome-Wide Association Study
Abstract: Funder: European Union FP6 programme grant number LSHM_CT_2006_037197, Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.
Published: 2020

25. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: A meta-analysis and Mendelian randomisation analysis

Author: Nita G. Forouhi, Kim Overvad, Ivonne Sluijs, Tammy Y.N. Tong, Christina C. Dahm, Kay-Tee Khaw, Thomas E. Gundersen, José María Huerta, Peter M. Nilsson, Miguel Rodríguez-Barranco, Nasser Laouali, Adam S. Butterworth, Giovanna Masala, Sara Grioni, Rosario Tumino, Anja Olsen, Stephen J. Sharp, Salvatore Panico, J. Ramón Quirós, Yvonne T. van der Schouw, Eleanor Wheeler, Rudolf Kaaks, Alicia K Heath, Eva Ardanaz, Felix R. Day, Eleni Sofianopoulou, Konstantinos K. Tsilidis, Luca A. Lotta, Nicholas J. Wareham, Douae El-Fatouhi, Claudia Langenberg, Heiner Boeing, Guy Fagherazzi, Paula Jakszyn, Olov Rolandsson, Rupal L. Shah, Mazda Jenab, Miren Dorronsoro, Ju-Sheng Zheng, Fumiaki Imamura, Isobel D. Stewart, Elio Riboli, Paul W. Franks, Louise Hansen, John Danesh, Carlotta Sacerdote, Jian'an Luan, Niki Dimou, Annemieke M.W. Spijkerman, Tilman Kühn, Zheng, Ju-Sheng [0000-0001-6560-4890], Sharp, Stephen J [0000-0003-2375-1440], Day, Felix R [0000-0003-3789-7651], Sluijs, Ivonne [0000-0001-7758-4911], Shah, Rupal L [0000-0001-8789-8869], van der Schouw, Yvonne T [0000-0002-4605-435X], Dahm, Christina C [0000-0003-0481-2893], Dimou, Niki [0000-0003-1678-9328], Franks, Paul W [0000-0002-0520-7604], Fagherazzi, Guy [0000-0001-5033-5966], Huerta, José María [0000-0002-9637-3869], Heath, Alicia K [0000-0001-6517-1300], Hansen, Louise [0000-0002-7109-8864], Jenab, Mazda [0000-0002-0573-1852], Kühn, Tilman [0000-0001-7702-317X], Laouali, Nasser [0000-0002-8532-456X], Masala, Giovanna [0000-0002-5758-9069], Olsen, Anja [0000-0003-4788-503X], Rodríguez-Barranco, Miguel [0000-0002-9972-9779], Sacerdote, Carlotta [0000-0002-8008-5096], Tong, Tammy YN [0000-0002-0284-8959], Tumino, Rosario [0000-0003-2666-414X], Tsilidis, Konstantinos K [0000-0002-8452-8472], Riboli, Elio [0000-0001-6795-6080], Langenberg, Claudia [0000-0002-5017-7344], Forouhi, Nita G [0000-0002-5041-248X], Wareham, Nicholas J [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Sharp, Stephen J. [0000-0003-2375-1440], Day, Felix R. [0000-0003-3789-7651], Shah, Rupal L. [0000-0001-8789-8869], van der Schouw, Yvonne T. [0000-0002-4605-435X], Dahm, Christina C. [0000-0003-0481-2893], Franks, Paul W. [0000-0002-0520-7604], Heath, Alicia K. [0000-0001-6517-1300], Tong, Tammy Y. N. [0000-0002-0284-8959], Tsilidis, Konstantinos K. [0000-0002-8452-8472], Forouhi, Nita G. [0000-0002-5041-248X], and Wareham, Nicholas J. [0000-0003-1422-2993]
Subjects: Male, Single Nucleotide Polymorphisms, Organic chemistry, Genome-wide association study, Type 2 diabetes, VARIANTS, 030204 cardiovascular system & hematology, Biochemistry, Endocrinology, Medical Conditions, Mathematical and Statistical Techniques, 0302 clinical medicine, DESIGN, Risk Factors, Medicine and Health Sciences, Metabolites, VITAMIN-D SUPPLEMENTATION, 030212 general & internal medicine, Prospective Studies, Vitamin D, 11 Medical and Health Sciences, RISK, Diabetis, Statistics, Diabetes, Genomics, Vitamins, General Medicine, Metaanalysis, Middle Aged, Type 2 Diabetes, 3. Good health, European Prospective Investigation into Cancer and Nutrition, Physical sciences, Chemistry, OBESITY, Endokrinologi och diabetes, Medicine, LIFE-STYLE, Female, Life Sciences & Biomedicine, Research Article, Adult, medicine.medical_specialty, Endocrine Disorders, DATABASE, Vitamina D, European Continental Ancestry Group, Single-nucleotide polymorphism, Endocrinology and Diabetes, Research and Analysis Methods, Lower risk, White People, Chemical compounds, 03 medical and health sciences, Medicine, General & Internal, General & Internal Medicine, Internal medicine, Organic compounds, Diabetes Mellitus, Genome-Wide Association Studies, medicine, Vitamin D and neurology, Genetics, Humans, Statistical Methods, Science & Technology, business.industry, Biology and Life Sciences, Computational Biology, Human Genetics, Odds ratio, Mendelian Randomization Analysis, Genome Analysis, medicine.disease, Metabolism, Diabetes Mellitus, Type 2, Genetic Loci, Metabolic Disorders, Relative risk, Dietary Supplements, GENETIC-DETERMINANTS, business, Mathematics, Genètica, Genome-Wide Association Study
Abstract: Background Prior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of these associations using Mendelian randomisation (MR) analysis. Methods and findings We performed a meta-analysis of genome-wide association studies for total 25(OH)D (N = 120,618), 25(OH)D3 (N = 40,562), and C3-epi-25(OH)D3 (N = 40,562) in participants of European descent (European Prospective Investigation into Cancer and Nutrition [EPIC]–InterAct study, EPIC-Norfolk study, EPIC-CVD study, Ely study, and the SUNLIGHT consortium). We identified genetic variants for MR analysis to investigate the causal association of the 25(OH)D metabolites with T2D (including 80,983 T2D cases and 842,909 non-cases). We also estimated the observational association of 25(OH)D metabolites with T2D by performing random effects meta-analysis of results from previous studies and results from the EPIC-InterAct study. We identified 10 genetic loci associated with total 25(OH)D, 7 loci associated with 25(OH)D3 and 3 loci associated with C3-epi-25(OH)D3. Based on the meta-analysis of observational studies, each 1–standard deviation (SD) higher level of 25(OH)D was associated with a 20% lower risk of T2D (relative risk [RR]: 0.80; 95% CI 0.77, 0.84; p < 0.001), but a genetically predicted 1-SD increase in 25(OH)D was not significantly associated with T2D (odds ratio [OR]: 0.96; 95% CI 0.89, 1.03; p = 0.23); this result was consistent across sensitivity analyses. In EPIC-InterAct, 25(OH)D3 (per 1-SD) was associated with a lower risk of T2D (RR: 0.81; 95% CI 0.77, 0.86; p < 0.001), while C3-epi-25(OH)D3 (above versus below lower limit of quantification) was positively associated with T2D (RR: 1.12; 95% CI 1.03, 1.22; p = 0.006), but neither 25(OH)D3 (OR: 0.97; 95% CI 0.93, 1.01; p = 0.14) nor C3-epi-25(OH)D3 (OR: 0.98; 95% CI 0.93, 1.04; p = 0.53) was causally associated with T2D risk in the MR analysis. Main limitations include the lack of a non-linear MR analysis and of the generalisability of the current findings from European populations to other populations of different ethnicities. Conclusions Our study found discordant associations of biochemically measured and genetically predicted differences in blood 25(OH)D with T2D risk. The findings based on MR analysis in a large sample of European ancestry do not support a causal association of total 25(OH)D or 25(OH)D metabolites with T2D and argue against the use of vitamin D supplementation for the prevention of T2D., Using both observational and genetic analyses, Ju-Sheng Zheng and colleagues investigate the relationship between vitamin D metabolites and type 2 diabetes among European individuals., Author summary Why was this study done? There is ongoing uncertainty on whether the body’s vitamin D status indicated by blood 25-hydroxyvitamin D (25(OH)D) is relevant to the prevention of type 2 diabetes. There are conflicting findings from observational studies and a limited number of randomised controlled trials. Prior research did not distinguish between different metabolites of total 25(OH)D, including 25(OH)D3 and C3-epi-25(OH)D3, an isomer of 25(OH)D3. It is not clear whether the associations of 25(OH)D metabolites with type 2 diabetes are causal, with conflicting findings from prior Mendelian randomisation studies of total 25(OH)D and no previous Mendelian randomisation studies appraising 25(OH)D metabolites. What did the researchers do and find? The current research compared observational estimates of the association between 25(OH)D metabolites and incident type 2 diabetes with Mendelian randomisation estimates based on genetic instruments. Using multiple data sources, we performed genome-wide association studies among 120,618 individuals for total 25(OH)D, and among 40,562 individuals for the other vitamin D metabolites. Among participants of European descent, 10 genetic loci were identified for total 25(OH)D, 7 loci for 25(OH)D3 and 3 loci for C3-epi-25(OH)D3. In meta-analysis of observational studies, we found that each 1–standard deviation higher level of total 25(OH)D was associated with 20% lower risk of type 2 diabetes. The result was similar for 25(OH)D3, but for C3-epi-25(OH)D3, a positive association with type 2 diabetes was found. With up to 80,983 type 2 diabetes cases and 842,909 controls, we assessed the association of genetically predicted differences in total 25(OH)D and its metabolites with type 2 diabetes. Neither genetically predicted higher total 25(OH)D level nor genetically predicted higher levels of 25(OH)D metabolites were significantly associated with type 2 diabetes. What do these findings mean? There were conflicting findings for a link with type 2 diabetes for the observational analysis of biochemically measured 25(OH)D metabolites versus the genetically predicted levels of these metabolites. The null findings based on Mendelian randomisation analysis indicate that blood levels of 25(OH)D or its metabolites are not likely to be causal factors for the development of type 2 diabetes. The current findings together with other evidence from randomised controlled trials do not support the use of vitamin D supplementation for the prevention of type 2 diabetes.
Published: 2020

26. Meta-analysis investigating the role of interleukin-6 mediated inflammation in type 2 diabetes

Author: Jian'an Luan, Nicholas Bowker, Stephen J. Sharp, Claudia Langenberg, Aris Baras, Luca A. Lotta, Eleanor Wheeler, Nicholas J. Wareham, Manuel A. R. Ferreira, Rupal L. Shah, Isobel D. Stewart, Bowker, Nicholas [0000-0002-8794-894X], Shah, Rupal [0000-0001-8789-8869], Sharp, Stephen [0000-0003-2375-1440], Luan, Jian'an [0000-0003-3137-6337], Wheeler, Eleanor [0000-0002-8616-6444], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Oncology, Blood Glucose, lcsh:Medicine, Type 2 diabetes, 0302 clinical medicine, Risk Factors, Epidemiology, Odds Ratio, Prospective cohort study, Adiposity, education.field_of_study, lcsh:R5-920, biology, General Medicine, 030220 oncology & carcinogenesis, Meta-analysis, Cytokines, Disease Susceptibility, Inflammation Mediators, lcsh:Medicine (General), Research Paper, Signal Transduction, medicine.medical_specialty, Trans-ethnic, Population, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Genetic, Internal medicine, medicine, Humans, Body Weights and Measures, Genetic Predisposition to Disease, Interleukin 6, education, Inflammation, business.industry, Interleukin-6, lcsh:R, medicine.disease, Receptors, Interleukin-6, 030104 developmental biology, Diabetes Mellitus, Type 2, biology.protein, Etiology, business, Body mass index, Biomarkers
Abstract: Background Evidence from animal models and observational epidemiology points to a role for chronic inflammation, in which interleukin 6 (IL-6) is a key player, in the pathophysiology of type 2 diabetes (T2D). However, it is unknown whether IL-6 mediated inflammation is implicated in the pathophysiology of T2D. Methods We performed a meta-analysis of 15 prospective studies to investigate associations between IL-6 levels and incident T2D including 5,421 cases and 31,562 non-cases. We also estimated the association of a loss-of-function missense variant (Asp358Ala) in the IL-6 receptor gene (IL6R), previously shown to mimic the effects of IL-6R inhibition, in a large trans-ethnic meta-analysis of six T2D case-control studies including 260,614 cases and 1,350,640 controls. Findings In a meta-analysis of 15 prospective studies, higher levels of IL-6 (per log pg/mL) were significantly associated with a higher risk of incident T2D (1·24 95% CI, 1·17, 1·32; P = 1 × 10−12). In a trans-ethnic meta-analysis of 260,614 cases and 1,350,640 controls, the IL6R Asp358Ala missense variant was associated with lower odds of T2D (OR, 0·98; 95% CI, 0·97, 0·99; P = 2 × 10−7). This association was not due to diagnostic misclassification and was consistent across ethnic groups. IL-6 levels mediated up to 5% of the association between higher body mass index and T2D. Interpretation Large-scale human prospective and genetic data provide evidence that IL-6 mediated inflammation is implicated in the etiology of T2D but suggest that the impact of this pathway on disease risk in the general population is likely to be small. Funding The EPIC Norfolk study has received funding from the Medical Research Council (MRC) (MR/N003284/1, MC-UU_12015/1 and MC_PC_13048) and Cancer Research UK (C864/A14136). The Fenland Study is funded by the MRC (MC_UU_12015/1 and MC_PC_13046).
Published: 2020

27. Body mass index and heart failure risk: a cohort study in 1.5 million individuals and Mendelian randomisation analysis

Author: Chim C. Lang, Albert Henry, Michael V. Holmes, Claudia Langenberg, Thomas R. Lumbers, Harry Hemingway, Ify R. Mordi, Naveed Sattar, and Michail Katsoulis
Subjects: medicine.medical_specialty, Proportional hazards model, business.industry, Hazard ratio, Absolute risk reduction, Odds ratio, medicine.disease, Heart failure, Internal medicine, medicine, Risk factor, business, Body mass index, Cohort study
Abstract: AimsElevated body mass index (BMI) is a known risk factor for heart failure (HF), however, the underlying mechanisms are incompletely understood. The aim of this study was to investigate the role of common HF risk factors as potential mediators.Methods and ResultsElectronic health record data from primary care, hospital admissions and death registrations in England were used to perform an observational analysis. Data for 1.5 million individuals aged 18 years or older, with BMI measurements and free from heart failure at baseline, were included between 1998 and 2016. Cox models were used to estimate the association between BMI and HF with and without adjustment for atrial fibrillation (AF), diabetes mellitus (DM), coronary heart disease (CHD), and hypertension (HTN). Univariable and multivariable two-sample Mendelian randomisation was performed to estimate causal effects.Among non-underweight individuals, BMI was positively associated with HF with a 1-SD (∼ 4.8kg/m2) higher BMI associated with a hazard ratio (HR) of 1.31 (95% confidence interval [CI] 1.30, 1.32). Genetically predicted BMI yielded a causal odds ratio (OR) of 1.64 per 4.8 kg/m2BMI (95% CI 1.58, 1.70) which attenuated by 41% (to OR of 1.38 (95% CI 1.31 - 1.45), when simultaneously accounting for AF, DM, CHD and SBP.ConclusionAbout 40% of the excess risk of HF due to adiposity is driven by SBP, AF, DM and CHD. These findings highlight the importance of the prevention and treatment of excess adiposity and downstream HF risk factors to prevent HF, even in people in whom the above risk factors are well managed.One-sentence summaryThis study of the role of excess adiposity as a risk factor for HF, including an observational analysis of measured BMI 1.5 million individuals and multivariable MR analysis of genetically elevated BMI, provides evidence that adiposity is causally associated with HF, with approximately 40% of the effect being mediated by conventional risk pathways.Graphical abstract
Published: 2020

28. A genome-wide association study of asthma-COPD overlap syndrome (ACOS)

Author: Victor E. Ortega, Anna L. Guyatt, Ann Chen Wu, Eugene R. Bleecker, Nick Shrine, Jessica Lasky-Su, Jukka Koskela, Thorunn Asta Olafsdottir, Traci M. Bartz, Samuli Ripatti, Deborah A. Meyers, Ian P. Hall, Caroline Hayward, Natalie Terzikhan, Sina A. Gharib, Lystra P. Hayden, Ben Michael Brumpton, Lies Lahousse, Louise V. Wain, Shuguang Leng, Kari Stefansson, Catherine John, Michael H. Cho, Carlos Iribarren, Josée Dupuis, Yohannes Tesfaigzi, Tarja Laitinen, Hanfei Xu, Claudia Langenberg, Hans Petersen, Su H. Chu, Ian Sayers, Martin D. Tobin, Gudmar Thorleifsson, Xingnan Li, Ingileif Jonsdottir, Arnulf Langhammer, Jian'an Luan, Jiangyuan Liu, and Lori C. Sakoda
Subjects: COPD, medicine.medical_specialty, business.industry, Genetic variants, Genome-wide association study, Overlap syndrome, medicine.disease, Biobank, respiratory tract diseases, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, 030228 respiratory system, Internal medicine, medicine, 030212 general & internal medicine, Asthma copd overlap, business, Lung function, Asthma
Abstract: Individuals with characteristics of both asthma and COPD (asthma-COPD overlap syndrome, ACOS) experience significantly worse outcomes than those with asthma or COPD alone. Despite hundreds of genetic associations with asthma, COPD and lung function, no genetic variants have specifically been associated with ACOS. We hypothesized that there are genetic determinants of ACOS and sought to identify these in a genome-wide association study. We defined ACOS based on self-reported doctor-diagnosed asthma and spirometric GOLD2+ airflow limitation. We tested 7693381 genetic variants for association with ACOS in 8068 cases and 40360 healthy controls from UK Biobank (stage 1). We identified signals where P Thirty-one genetic variants met criteria for inclusion in stage 2. Of these, eight were associated at genome-wide significance (P Whilst our results suggest that many genetic variants associated with ACOS are shared with asthma and/or COPD, we identify a new, distinct signal that may implicate cellular pathways characteristic of ACOS.
Published: 2020

29. The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Author: Hugoline G. de Haan, Andrew A. Hicks, Achilleas Pitsilides, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Anders Hamsten, Dennis O. Mook-Kanamori, Zorayr Arzumanyan, Betina H. Thuesen, Karin Leander, Fernando Rivideneira, Lynne E. Wagenknecht, Andrew R. Wood, Annique Claringbould, Ele Ferranni, Sölve Elmståhl, Eleanor Wheeler, Sharon L.R. Kardia, Richa Saxena, Tatijana Zemunik, Cassandra N. Spracklen, Ken K. Ong, Xiao-Ou Shu, Johannes Waage, Blair H. Smith, Rozenn N. Lemaitre, Torben Hansen, Peter K. Joshi, Lisa R. Yanek, Neil R. Robertson, Sven Bergmann, Mila Desi Anasanti, Inger Njølstad, Ananda R. Wickremasinghe, Xu Lin, Harold Snieder, Wanqing Wen, Veronique Vitart, Paul R. H. J. Timmers, Timo Saaristo, James F. Wilson, Tian Xie, Tao Huang, Rainer Rauramaa, Kei Hang, Rebecca Rohde, Li-Ching Chang, Jing Hua Zhao, Kazuya Setoh, Yasuharu Tabara, Michael Stumvoll, Mark O. Goodarzi, Igor Rudan, James B. Meigs, Jaakko Tuomilehto, Richard M. Watanabe, Ruth J. F. Loos, Reedik Mägi, Jouke-Jan Hottenga, Ozren Polasek, Michael Y. Tsai, Donald W. Bowden, Diana Kuh, Erik B. van den Akker, Yii-Der Ida Chen, Daniel I. Chasman, Weihua Zhang, Nicholette D. Palmer, Marcus E. Kleber, Anny H. Xiang, Chang-Hsun Hsieh, Alan B. Zonderman, Stefan Gustafsson, Timo A. Lakka, Brian H. Chen, Dermot F. Reilly, Francis S. Collins, Oluf Pedersen, Corri Black, Yang Hai, Zoltán Kutalik, Yoriko Heianza, Willa A. Hsueh, Vilmundur Gudnason, Robert C. Kaplan, Jun Liu, Michael A. Province, Aliki-Eleni Farmaki, Stephen S. Rich, Jian'an Luan, Erik Ingelsson, Marie Loh, Michael Preuss, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Colin N. A. Palmer, Fumihiko Matsuda, Takahisa Kawaguchi, Sohee Han, Ching-Ti Liu, Young-Jin Kim, L. Southam, Sara M. Willems, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Stephan J. L. Bakker, Momoko Horikoshi, Tarunveer S. Ahluwalia, Annette Schürmann, Graciela E. Delgado, Thibaud S. Boutin, Thomas Sparsø, Sandosh Padmanabhan, Fouad Kandeel, Eco J. C. de Geus, Anubha Mahajan, Claudia Schurmann, Klaus Bønnelykke, Leslie A. Lange, Qing Duan, Rona J. Strawbridge, Dennis Raven, Gonçalo R. Abecasis, Mitsuhiro Yokota, Jani Heikkinen, Elizabeth Selvin, Audrey Y. Chu, Anke Tönjes, Marta E. Alarcón-Riquelme, Hans Bisgaard, P. Eline Slagboom, Eric Boerwinkle, Massimo Mangino, Catharina A. Hartman, Geltrude Mingrone, Lenore J. Launer, Michael Boehnke, Emil V. R. Appel, Niels Grarup, Arushi Varshney, Archie Campbell, Kari E. North, W. Craig Johnson, Inês Barroso, Ya X. Wang, Carola Marzi, Anuj Goel, Eleftheria Zeggini, Lu Qi, Yasumasa Ohyagi, Tien Yin Wong, Tanja G. M. Vrijkotte, Gudny Eiriksdottir, Harald Grallert, Ishminder K. Kooner, Trevor A. Mori, Jagadish Vangipurapu, Laura J Corbin, Tomohiro Katsuya, Wen B. Wei, Segun Fatumo, Debashree Ray, Annette Peters, Lori L. Bonnycastle, Ilja M. Nolte, M. Arfan Ikram, Manjinder S. Sandhu, Marit E. Jørgensen, Christian Herder, Damia Noce, Sarah C. Nelson, Chien-Hsiun Chen, Heather M. Stringham, Yong-Bing Xiang, Bruce M. Psaty, Alain G. Bertoni, Gaëlle Marenne, Timothy M. Frayling, Jose C. Florez, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Damiano Baldassarre, J. Wouter Jukema, Wei Huang, Yi-Cheng Chang, Albertine J. Oldehinkel, Xiaoshuai Zhang, Yujie Wang, Shaofeng Huo, Xueling Sim, Norihiro Kato, Bernhard O. Böhm, Lorraine Southam, Mari Nelis, Gonneke Willemsen, Laura J. Rasmussen-Torvik, Philippe Froguel, Charumathi Sabanayagam, Leif Groop, Loic Yengo, Shi Jinxiu, Adolfo Correa, Serena Sanna, Arne Astrup, Teemu Kuulasmaa, Symen Ligthart, Shih-Yi Lin, David J. Porteous, Harry Campbell, Peter Vollenweider, Mark J. Caulfield, Kristi Läll, Anne Ndungu, Carl D. Langefeld, Tanya M. Teslovich, Heikki A. Koistinen, Ying Wu, Mattias Frånberg, D.I. Boomsma, Lawrence F. Bielak, Diana van Heemst, Peter Kovacs, Markku Laakso, Leslie J. Raffel, Katharina E. Schraut, Noël P. Burtt, Michiya Igase, Craig E. Pennell, Claudia Langenberg, Huaixing Li, Teresa Tusie, Laura M. Raffield, Jorgen Engmann, Stephen C. J. Parker, Michele K. Evans, Chaolong Wang, Rico Rueedi, Jianjun Liu, Pankow S. James, Hortensia Moreno-Macías, Fumihiko Takeuchi, Cornelia M. van Duijn, Sanghoon Moon, Susan R. Heckbert, Thomas A. Buchanan, Ko Willems van Dijk, Toru Nabika, May E. Montasser, Caroline Hayward, Jie Yao, Aaron Leong, Antje Körner, Jouko Saramies, Jost B. Jonas, Pim van der Harst, Naveed Sattar, Helen R. Warren, Alice Stanton, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Mi Yeong Hwang, Jin Fang Chai, Alicia Huerta-Chagoya, Anette P. Gjesing, Ching-Yu Cheng, Debbie A Lawlor, Simin Liu, Man Li, Ivana Kolcic, Erwin P. Bottinger, Andrew Wong, Stella Trompet, Heming Wang, Jirong Long, Xiuqing Guo, Jeffrey R. O'Connell, Meena Kumari, Sirkka Keinänen-Kiukaanniemi, Rita R. Kalyani, Bengt Sennblad, Mohammad Hadi Zafarmand, Kent D. Taylor, Katherine A. Kentistou, Carol A. Wang, Shuiqing Lai, Patricia B. Munroe, Patricia A. Peyser, Lawrence J. Beilin, Niek Verweij, Inga Prokopenko, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Ping An, Matthias Blüher, Isobel D. Stewart, Alexander P. Reiner, Anna L. Gloyn, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, Wei Zhao, Andres Metspalu, Wieland Kiess, Kathleen A. Ryan, Astrid van Hylckama Vlieg, Jaana Lindström, Wei Zheng, E. Shyong Tai, Josée Dupuis, Nanette R. Lee, Laura J. Scott, Nicholas J. Timpson, George Dedoussis, Mark I. McCarthy, Tatsuaki Matsubara, Carlos Lorenzo, Denis Rybin, Luigi Ferruci, Chelsea K. Raulerson, Mika Kivimäki, Paul M. Ridker, Jer-Yuarn Wu, Shufa Du, Jaeyoung Hong, Linda S. Adair, Tin Louie, Valeriya Lyssenko, Susan Redline, Kelvin Lam, Qibin Qi, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Sahoko Ichihara, Nicholas J. Wareham, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Rob M. van Dam, Claire J. Steves, Liang Sun, Albert V. Smith, Raymond Noordam, Tom Wilsgaard, Winfried März, Jung Ho Gong, Matt J. Neville, Jerry L. Nadler, Giorgio Pistis, Karen L. Mohlke, Bruna Gigante, Jennifer A. Brody, Andrew P. Morris, Marie Lauzon, Peter E. H. Schwarz, Bernardo L. Horta, Xiaoran Chai, Ji Chen, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Javier Gayán, Elena Tremoli, Girish N. Nadkarni, Najaf Amin, Hugh Watkins, Johanna Kuusisto, Jingyi Tan, Sameline Grimsgaard, Bong-Jo Kim, Kerrin S. Small, Jill M. Norris, Cecilia M. Lindgren, Richard N. Bergman, Mark Walker, Henrik Vestergaard, Larissa Aviles-Santa, Jing He, Masahiro Nakatochi, Peter P. Pramstaller, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Kevin Sandow, Jaspal S. Kooner, Carlos A. Aguilar-Salinas, Peitao Wu, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Nan Wang, Franco Giulianini, Tao Wang, Honglan Li, Abbas Dehghan, Christian Fuchsberger, and Pontiano Kaleebu
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, Type 2 diabetes, medicine.disease, Fasting insulin, Fasting glucose, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Diabetes mellitus, medicine, Genomic architecture, business, Glycated haemoglobin, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract: Glycaemic traits are used to diagnose and monitor type 2 diabetes, and cardiometabolic health. To date, most genetic studies of glycaemic traits have focused on individuals of European ancestry. Here, we aggregated genome-wide association studies in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated haemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, equivalent sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
Published: 2020

30. Weight change and the incidence of cardiovascular diseases in adults with normal weight, overweight and obesity without chronic diseases; emulating trials using electronic health records

Author: Constantinos A. Parisinos, Alvina G. Lai, Manuel Gomes, KD Ordaz, Bianca De Stavola, Harry Hemingway, Claudia Langenberg, P Lagiou, Spiros Denaxas, K Tsilidis, Ami Banerjee, Michail Katsoulis, Rachel L. Batterham, R T Lumbers, and Goya Wannamethee
Subjects: 2. Zero hunger, medicine.medical_specialty, business.industry, Incidence (epidemiology), Weight change, 030204 cardiovascular system & hematology, Overweight, Lower risk, medicine.disease, Obesity, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Weight loss, Internal medicine, medicine, 030212 general & internal medicine, medicine.symptom, business, Body mass index, Weight gain
Abstract: BackgroundCross sectional measures of body mass index (BMI) are associated with cardiovascular disease (CVD) incidence, but less is known about whether weight change affects the risk of CVD.MethodsWe estimated the effect of 2-year weight change interventions on 7-year risk of CVD, by emulating hypothetical target trials using electronic health records. We identified 138.567 individuals in England between 1998 and 2016, aged 45-69 years old, free of chronic diseases at baseline. We performed pooled logistic regression, using inverse-probability weighting to adjust for baseline and time-varying variables. Each individual was classified into a weight loss, maintenance, or gain group.FindingsIn the normal weight, both weight loss and gain were associated with increased risk for CVD [HR vs weight maintenance=1.53 (1.18-1.98) and 1.43 (1.19-1.71 respectively)]. Among overweight individuals, both weight loss and gain groups, compared to weight maintenance, had a moderately higher risk of CVD [HR=1.20 (0.99–1.44) and 1.17 (0.99–1.38), respectively]. In the obese, weight loss had a lower risk lower risk of CHD [HR =0.66 (0.49–0.89)] and a moderately lower risk of CVD [HR =0.90 (0.72–1.13)]. When we assumed that a chronic disease occurred 1-3 years before the recorded date, estimates for weight loss and gain were attenuated among overweight individuals and estimates for weight loss were stronger among individuals with obesity.InterpretationAmong individuals with obesity, the weight loss group had a lower risk of CHD and moderately lower risk of CVD. Weight gain increased the risk of CVD across BMI groups.
Published: 2020
Full Text: View/download PDF

31. SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review

Author: Catherine Falconer, Orla Murphy, Oliver T Mytton, Edward Mullins, Wikum Jayatunga, Tom Fowler, Danielle H Eddy, Claudia Langenberg, Nisha Mehta, Jonathan S. Nguyen-Van-Tam, Mytton, Oliver [0000-0003-3218-9912], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: Male, Pediatrics, editorial, Attack rate, coronavirus, medicine.disease_cause, 0302 clinical medicine, Epidemiology, 030212 general & internal medicine, Child, Asymptomatic Infections, 11 Medical and Health Sciences, Coronavirus, Transmission (medicine), transmission, Editorial Commentary, AcademicSubjects/MED00290, Infectious Diseases, Radiological weapon, Child, Preschool, Female, medicine.symptom, Coronavirus Infections, pharmacokinetics, Life Sciences & Biomedicine, Hydroxychloroquine, Adult, Microbiology (medical), medicine.medical_specialty, Adolescent, Pneumonia, Viral, Immunology, MEDLINE, Asymptomatic, Microbiology, 03 medical and health sciences, children, 030225 pediatrics, Major Article, medicine, Humans, Pandemics, Science & Technology, business.industry, SARS-CoV-2, Public health, Infant, Newborn, COVID-19, Infant, 06 Biological Sciences, infection, business, ACUTE RESPIRATORY SYNDROME
Abstract: Background Few pediatric cases of coronavirus disease 2019 (COVID-19) have been reported and we know little about the epidemiology in children, although more is known about other coronaviruses. We aimed to understand the infection rate, clinical presentation, clinical outcomes, and transmission dynamics for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in order to inform clinical and public health measures. Methods We undertook a rapid systematic review and narrative synthesis of all literature relating to SARS-CoV-2 in pediatric populations. The search terms also included SARS-CoV and MERS-CoV. We searched 3 databases and the COVID-19 resource centers of 11 major journals and publishers. English abstracts of Chinese-language papers were included. Data were extracted and narrative syntheses conducted. Results Twenty-four studies relating to COVID-19 were included in the review. Children appear to be less affected by COVID-19 than adults by observed rate of cases in large epidemiological studies. Limited data on attack rate indicate that children are just as susceptible to infection. Data on clinical outcomes are scarce but include several reports of asymptomatic infection and a milder course of disease in young children, although radiological abnormalities are noted. Severe cases are not reported in detail and there are few data relating to transmission. Conclusions Children appear to have a low observed case rate of COVID-19 but may have rates similar to adults of infection with SARS-CoV-2. This discrepancy may be because children are asymptomatic or too mildly infected to draw medical attention and be tested and counted in observed cases of COVID-19.
Published: 2020
Full Text: View/download PDF

32. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

Author: Amitava Banerjee, Harry Hemingway, Ana Torralbo, Deenan Pillay, Claudia Langenberg, Steve Harris, Wai Keong Wong, Mahdad Noursadeghi, Spiros Denaxas, Laura Pasea, Bryan Williams, Christina Pagel, Arturo Gonzalez-Izquierdo, Neil J. Sebire, Christopher Holmes, Laura Shallcross, Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, medicine.medical_specialty, Pneumonia, Viral, Population, 030204 cardiovascular system & hematology, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Pandemic, Humans, Medicine, 030212 general & internal medicine, Mortality, education, Pandemics, Aged, Aged, 80 and over, Estimation, education.field_of_study, Models, Statistical, business.industry, Incidence (epidemiology), Public health, COVID-19, Multimorbidity, General Medicine, Middle Aged, United Kingdom, 3. Good health, Relative risk, Population study, Female, Coronavirus Infections, business, Cohort study, Demography
Abstract: Summary Background The medical, societal, and economic impact of the coronavirus disease 2019 (COVID-19) pandemic has unknown effects on overall population mortality. Previous models of population mortality are based on death over days among infected people, nearly all of whom thus far have underlying conditions. Models have not incorporated information on high-risk conditions or their longer-term baseline (pre-COVID-19) mortality. We estimated the excess number of deaths over 1 year under different COVID-19 incidence scenarios based on varying levels of transmission suppression and differing mortality impacts based on different relative risks for the disease. Methods In this population-based cohort study, we used linked primary and secondary care electronic health records from England (Health Data Research UK–CALIBER). We report prevalence of underlying conditions defined by Public Health England guidelines (from March 16, 2020) in individuals aged 30 years or older registered with a practice between 1997 and 2017, using validated, openly available phenotypes for each condition. We estimated 1-year mortality in each condition, developing simple models (and a tool for calculation) of excess COVID-19-related deaths, assuming relative impact (as relative risks [RRs]) of the COVID-19 pandemic (compared with background mortality) of 1·5, 2·0, and 3·0 at differing infection rate scenarios, including full suppression (0·001%), partial suppression (1%), mitigation (10%), and do nothing (80%). We also developed an online, public, prototype risk calculator for excess death estimation. Findings We included 3 862 012 individuals (1 957 935 [50·7%] women and 1 904 077 [49·3%] men). We estimated that more than 20% of the study population are in the high-risk category, of whom 13·7% were older than 70 years and 6·3% were aged 70 years or younger with at least one underlying condition. 1-year mortality in the high-risk population was estimated to be 4·46% (95% CI 4·41–4·51). Age and underlying conditions combined to influence background risk, varying markedly across conditions. In a full suppression scenario in the UK population, we estimated that there would be two excess deaths (vs baseline deaths) with an RR of 1·5, four with an RR of 2·0, and seven with an RR of 3·0. In a mitigation scenario, we estimated 18 374 excess deaths with an RR of 1·5, 36 749 with an RR of 2·0, and 73 498 with an RR of 3·0. In a do nothing scenario, we estimated 146 996 excess deaths with an RR of 1·5, 293 991 with an RR of 2·0, and 587 982 with an RR of 3·0. Interpretation We provide policy makers, researchers, and the public a simple model and an online tool for understanding excess mortality over 1 year from the COVID-19 pandemic, based on age, sex, and underlying condition-specific estimates. These results signal the need for sustained stringent suppression measures as well as sustained efforts to target those at highest risk because of underlying conditions with a range of preventive interventions. Countries should assess the overall (direct and indirect) effects of the pandemic on excess mortality. Funding National Institute for Health Research University College London Hospitals Biomedical Research Centre, Health Data Research UK.
Published: 2020

33. Estimating excess 1- year mortality from COVID-19 according to underlying conditions and age in England: a rapid analysis using NHS health records in 3.8 million adults

Author: Wai Keong Wong, Deenan Pillay, Arturo Gonzalez-Izquierdo, Harry Hemingway, Spiros Denaxas, Laura Pasea, Ana Torralbo, Bryan Williams, Amitava Banerjee, Christina Pagel, Laura Shallcross, Steve Harris, Claudia Langenberg, and Mahdad Noursadeghi
Subjects: COPD, medicine.medical_specialty, education.field_of_study, Coronavirus disease 2019 (COVID-19), business.industry, Public health, Population, Disease, 030204 cardiovascular system & hematology, medicine.disease, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Relative risk, Diabetes mellitus, Medicine, 030212 general & internal medicine, business, education, Kidney disease, Demography
Abstract: BackgroundThe medical, health service, societal and economic impact of the COVID-19 emergency has unknown effects on overall population mortality. Previous models of population mortality are based on death over days among infected people, nearly all of whom (to date at least) have underlying conditions. Models have not incorporated information on high risk conditions or their longer term background (pre-COVID-19) mortality. We estimated the excess number of deaths over 1 year under different COVID-19 incidence rates and differing mortality impacts.MethodsUsing population based linked primary and secondary care electronic health records in England (HDR UK - CALIBER), we report the prevalence of underlying conditions defined by UK Public Health England COVID-19 guidelines (16 March 2020) in 3,862,012 individuals aged ≥30 years from 1997-2017. We used previously validated phenotypes, openly available (https://caliberresearch.org/portal), for each condition using ICD-10 diagnosis, Read, procedure and medication codes. We estimated the 1-year mortality in each condition, and developed simple models of excess COVID-19-related deaths assuming relative risk (RR) of the impact of the emergency (compared to background mortality) of 1.2, 1.5 and 2.0.Findings20.0% of the population are at risk according to current PHE guidelines, of which; 13.7% were age>70 years and 6.3% aged ≤70 years with ≥1 underlying condition (cardiovascular disease (2.3%), diabetes (2.2%), steroid therapy (1.9%), severe obesity (0.9%), chronic kidney disease (0.6%) and chronic obstructive pulmonary disease, COPD (0.5%). Multimorbidity (co-occurrence of ≥2 conditions in an individual) was common (10.1%). The 1-year mortality in the at-risk population was 4.46%, and age and underlying conditions combine to influence background risk, varying markedly across conditions (5.9% in age>70 years, 8.6% for COPD and 13.1% in those with ≥3 or more conditions). In a suppression scenario (at SARS CoV2 rates of 0.001% of the UK population), there would be minimal excess deaths (3 and 7 excess deaths at relative risk, RR, 1.5 and 2.0 respectively). At SARS CoV2 rates of 10% of the UK population (mitigation) the model estimates the numbers of excess deaths as: 13791, 34479 and 68957 (at RR 1.2, 1.5 and 2.0 respectively). At SARS CoV2 rates of 80% in the UK population (“do-nothing”), the model estimates the number of excess deaths as 110332, 275,830 and 551,659 (at RR 1.2, 1.5 and 2.0) respectively.InterpretationWe provide the public, researchers and policy makers a simple model to estimate the excess mortality over 1 year from COVID-19, based on underlying conditions at different ages. If the relative mortality impact of COVID-19 were to be about 20% (similar magnitude as the established winter vs summer mortality excess), then the excess deaths would be 0 when 1 in 100 000 (suppression), 13791 when 1 in 10 (mitigation) and 110332 when 8 in 10 are infected (“do nothing”) scenario. However, the relative impact of COVID-19 is unknown. If the emergency were to double the mortality risk, then we estimate 7, 68957 and 551,659 excess deaths in the same scenarios. These results may inform the need for more stringent suppression measures as well as efforts to target those at highest risk for a range of preventive interventions.
Published: 2020
Full Text: View/download PDF

34. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

Author: Joris Deelen, Antonia Trichopoulou, Sara Hägg, Kim Overvad, Elisabete Weiderpass, Iryna O. Fedko, Rudolf Kaaks, Nicola D. Kerrison, Kirsi H. Pietiläinen, Ida Surakka, Veikko Salomaa, Svetlana Stoma, Jaakko Kaprio, Alessandra Allione, Cornelia M. van Duijn, Nicholas G. Martin, Veryan Codd, Olle Melander, Nilesh J. Samani, Josine E. Verhoeven, Anne Tjønneland, Natalia Pervjakova, Domenico Palli, Adam S. Butterworth, Nicholas J. Wareham, María Dolores Chirlaque, P. Eline Slagboom, Massimo Mangino, Pascal P. Arp, Christopher P. Nelson, Brenda W.J.H. Penninx, Jessica L. Buxton, Pietro Ferrari, Tao Jiang, Iiris Hovatta, Taylor K. Loe, N. Charlotte Onland-Moret, Salvatore Panico, Peter Jones, Heiner Boeing, Timothy J. Key, Luca A. Lotta, Miguel Rodríguez-Barranco, Diana van Heemst, Chen Li, Robert A. Scott, Sarah E. Medland, Giuseppe Matullo, Alexessander Couto Alves, Rosario Tumino, Jouke-Jan Hottenga, Ken K. Ong, Vittorio Krogh, Gonneke Willemsen, Andres Metspalu, Eva Albrecht, Elina Sillanpää, Johan G. Eriksson, Najaf Amin, Dale R. Nyholt, Reedik Mägi, Eros Lazzerini Denchi, Peter M. Nilsson, André G. Uitterlinden, Antonio Agudo, Yuri Milaneschi, Ashley van der Spek, Alessia Russo, Linda Broer, Federico Canzian, Marian Beekman, Grant W. Montgomery, Sophie C Warner, Guy Fagherazzi, Markus Perola, Alexandra I. F. Blakemore, Marjo-Riitta Järvelin, Robert Karlsson, Tim D. Spector, Paul W. Franks, H. Eka D. Suchiman, Claudia Langenberg, Liher Imaz, Nancy L. Pedersen, Scott D. Gordon, Stephen E. Hamby, J. Ramón Quirós, Yvonne T. van der Schouw, Concha Moreno, Christian Gieger, Pekka Jousilahti, Dorret I. Boomsma, Marc J. Gunter, Benjamin Miraglio, Gianluca Severi, John Danesh, UNIVERSITY OF OULU, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Personalized Medicine, APH - Methodology, Sociology and Social Gerontology, Li, Chen [0000-0002-6423-6325], Ong, Kenneth [0000-0003-4689-7530], Butterworth, Adam [0000-0002-6915-9015], Danesh, John [0000-0003-1158-6791], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Apollo - University of Cambridge Repository, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, University of Helsinki, Research Programs Unit, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, HUS Abdominal Center, Department of Medicine, Endokrinologian yksikkö, Clinicum, Diabetes and Obesity Research Program, Department of General Practice and Primary Health Care, HUS Helsinki and Uusimaa Hospital District, Department of Psychology and Logopedics, Genetics, SLEEPWELL Research Program, Department of Public Health, Mind and Matter, Internal Medicine, and Epidemiology
Subjects: Netherlands Twin Register (NTR), Limfomes, LOCI, Genome-wide association study, Disease, VARIANTS, DISEASE, 0302 clinical medicine, Leukocytes, telomere length, GWAS, Genetics(clinical), Càncer, Mendelian randomisation, Thyroid cancer, Genetics (clinical), 11 Medical and Health Sciences, Cancer, Genetics, Genetics & Heredity, RISK, 0303 health sciences, Telòmer, age-related disease, biological aging, Humans, Nucleotides, Genome-Wide Association Study, Telomere, meta-analyysi, genomiikka, Genomics, CANCER, 3. Good health, 030220 oncology & carcinogenesis, MENDELIAN RANDOMIZATION, Medical genetics, Biomarker (medicine), HEART, Lymphomas, Life Sciences & Biomedicine, Medical Genetics, medicine.medical_specialty, GENES, DATABASE, Age-related Disease, Biological Aging, Mendelian Randomisation, Telomere Length, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Mendelian randomization, medicine, Journal Article, 030304 developmental biology, Medicinsk genetik, Science & Technology, 06 Biological Sciences, medicine.disease, Genòmica, ikääntyminen, 1182 Biochemistry, cell and molecular biology, telomeerit, biological
Abstract: Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
Published: 2020

35. rs641738C>T near MBOAT7 is positively associated with liver fat, ALT, and histological severity of NAFLD: a meta-analysis

Author: Jesus M. Banales, Jerome I. Rotter, Connor A. Emdin, Leon A. Adams, Sreekumar G. Pillai, Stephan Buch, Yu Ri Im, Thomas Berg, Claudia Langenberg, Kendra A. Young, Felix Stickel, Elizabeth K. Speliotes, Julia Kozlitina, Sonia Caprio, Madison Fairey, Kevin Teo, Hanieh Yaghootkar, Abhijit Chowdhury, Eu-Pnafld Investigators, Yii-Der Ida Chen, Harriet Hunter, Faiza Qayyum, Pavel Strnad, Matthias C. Reichert, Elmar Aigner, Marcin Krawczyk, Dana de Gracia Hahn, Lin Li, Matthew Hickman, Nicholette D. Palmer, Panu K. Luukkonen, Jiawen Dong, Christian Datz, Ali Canbay, Kent D. Taylor, Joel E. Lavine, Philip E. Melton, Nicola Santoro, Richard M. Watanabe, Xiuqing Guo, Giuseppina Rosaria Umano, Lynne E. Wagenknecht, Amedine Duret, Pallav Bhatnagar, Trevor A. Mori, Johanna K. DiStefano, Anne Tybjærg-Hansen, Stefano Romeo, Julia Wattacheril, Jake P. Mann, Luca Valenti, Ankita Chatterjee, Stefan Stender, Jochen Hampe, Rajarshi Banerjee, Glenn S. Gerhard, Frank Lammert, Rohit Loomba, Christian A. Hudert, Kushala W M Abeysekera, L Heintz, Constantinos A. Parisinos, Hong Kai Lim, Christopher D. Still, Matt Kelly, Mrudula Utukuri, Priyadarshi Basu, Nicholas J. Wareham, Hannele Yki-Järvinen, and Clemens Schafmayer
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, Insulin, medicine.medical_treatment, Fatty liver, Genome-wide association study, medicine.disease, Gastroenterology, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Fibrosis, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Internal medicine, Genetic model, medicine, Steatosis, Risk factor, business, 030304 developmental biology
Abstract: Background & AimsA common genetic variant near MBOAT7 (rs641738C>T) has been previously associated with hepatic fat and advanced histology in non-alcoholic fatty liver disease (NAFLD), however, these findings have not been consistently replicated in the literature. We aimed to establish whether rs641738C>T is a risk factor across the spectrum of NAFLD and characterize its role in the regulation of related metabolic phenotypes through meta-analysis.MethodsWe performed meta-analysis of studies with data on the association between rs641738C>T genotype and: liver fat, NAFLD histology, and serum ALT, lipids, or insulin. These included directly genotyped studies and population-level data from genome-wide association studies (GWAS). We performed random effects meta-analysis using recessive, additive, and dominant genetic models.ResultsData from 1,047,265 participants (8,303 with liver biopsies) across 42 studies was included in the meta-analysis. rs641738C>T was associated with higher liver fat on CT/MRI (+0.03 standard deviations [95% CI: 0.02 - 0.05]) and diagnosis of NAFLD (OR 1.22 [95% CI 1.08 - 1.39]) in Caucasian adults. The variant was also positively associated with presence of severe steatosis, NASH, and advanced fibrosis (OR: 1.32 [95% CI: 1.06 - 1.63]) in Caucasian adults using a recessive model of inheritance (CC+CT vs. TT). Meta-analysis of data from previous GWAS found the variant to be associated with higher ALT (Pz=0.002) and lower serum triglycerides (Pz=1.5×10−4). rs641738C>T was not associated with fasting insulin and no effect was observed in children with NAFLD.ConclusionOur study validates rs641738C>T near MBOAT7 as a risk factor for the presence and severity of NAFLD in individuals of European descent.
Published: 2019

36. Longitudinal Trends in Childhood Insulin Levels and Body Mass Index and Associations With Risks of Psychosis and Depression in Young Adults

Author: Benjamin Ian Perry, Stanley Zammit, Rachel Upthegrove, Eleanor Winpenny, Peter G. Jones, David B. Dunger, Gulam Khandaker, Nicholas J. Wareham, Jan Stochl, Claudia Langenberg, Perry, Ben [0000-0002-1533-026X], Stochl, Jan [0000-0002-9693-9930], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Winpenny, Eleanor [0000-0003-1933-0168], Dunger, David [0000-0002-2566-9304], Jones, Peter [0000-0002-0387-880X], Khandaker, Golam [0000-0002-4935-9220], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, Psychosis, medicine.medical_specialty, Longitudinal study, Adolescent, Risk Assessment, Body Mass Index, Young Adult, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Insulin, Longitudinal Studies, Risk factor, Child, Psychiatry, Depression (differential diagnoses), Depressive Disorder, business.industry, Correction, Cardiometabolic Risk Factors, Infant, medicine.disease, Comorbidity, United Kingdom, 030227 psychiatry, Psychiatry and Mental health, Psychotic Disorders, Child, Preschool, Cohort, Female, business, Body mass index, 030217 neurology & neurosurgery, Cohort study
Abstract: Importance: Cardiometabolic disorders often occur concomitantly with psychosis and depression, contribute to high mortality rates, and are detectable from the onset of the psychiatric disorders. However, it is unclear whether longitudinal trends in cardiometabolic traits from childhood are associated with risks for adult psychosis and depression.Objective: To examine whether specific developmental trajectories of fasting insulin (FI) levels and body mass index (BMI) from early childhood were longitudinally associated with psychosis and depression in young adults.Design, Setting, and Participants: A cohort study from the Avon Longitudinal Study of Parents and Children, a prospective study including a population-representative British cohort of 14 975 individuals, was conducted using data from participants aged 1 to 24 years. Body mass index and FI level data were used for growth mixture modeling to delineate developmental trajectories, and associations with psychosis and depression were assessed. The study was conducted between July 15, 2019, and March 24, 2020.Exposures: Fasting insulin levels were measured at 9, 15, 18, and 24 years, and BMI was measured at 1, 2, 3, 4, 7, 9, 10, 11, 12, 15, 18, and 24 years. Data on sex, race/ethnicity, paternal social class, childhood emotional and behavioral problems, and cumulative scores of sleep problems, average calorie intake, physical activity, smoking, and alcohol and substance use in childhood and adolescence were examined as potential confounders.Main Outcomes and Measures: Psychosis risk (definite psychotic experiences, psychotic disorder, at-risk mental state status, and negative symptom score) depression risk (measured using the computerized Clinical Interview Schedule-Revised) were assessed at 24 years.Results: From data available on 5790 participants (3132 [54.1%] female) for FI levels and data available on 10 463 participants (5336 [51.0%] female) for BMI, 3 distinct trajectories for FI levels and 5 distinct trajectories for BMI were noted, all of which were differentiated by mid-childhood. The persistently high FI level trajectory was associated with a psychosis at-risk mental state (adjusted odds ratio [aOR], 5.01; 95% CI, 1.76-13.19) and psychotic disorder (aOR, 3.22; 95% CI, 1.11-9.90) but not depression (aOR, 1.38; 95% CI, 0.75-2.54). A puberty-onset major increase in BMI was associated with depression (aOR, 4.46; 95% CI, 2.38-9.87) but not psychosis (aOR, 1.98; 95% CI, 0.56-7.79).Conclusions and Relevance: The cardiometabolic comorbidity of psychosis and depression may have distinct, disorder-specific early-life origins. Disrupted insulin sensitivity could be a shared risk factor for comorbid cardiometabolic disorders and psychosis. A puberty-onset major increase in BMI could be a risk factor or risk indicator for adult depression. These markers may represent targets for prevention and treatment of cardiometabolic disorders in individuals with psychosis and depression.
Published: 2021

37. Type 2 diabetes, glucose, insulin, BMI, and ischemic stroke subtypes

Author: Marju Orho-Melander, Claudia Langenberg, Robert A. Scott, Matthew Traylor, Susanna C. Larsson, George Hindy, Nicholas J. Wareham, Olle Melander, Hugh S. Markus, and Sudha Seshadri
Subjects: Blood Glucose, 0301 basic medicine, medicine.medical_specialty, medicine.medical_treatment, Type 2 diabetes, Polymorphism, Single Nucleotide, Article, Body Mass Index, Brain Ischemia, Brain ischemia, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Diabetes mellitus, Internal medicine, Mendelian randomization, Odds Ratio, Humans, Insulin, Medicine, Stroke, business.industry, Fasting, Odds ratio, Mendelian Randomization Analysis, medicine.disease, 030104 developmental biology, Endocrinology, Diabetes Mellitus, Type 2, Cardiology, Regression Analysis, Neurology (clinical), business, Body mass index, Biomarkers, 030217 neurology & neurosurgery
Abstract: Objective:To implement a mendelian randomization (MR) approach to determine whether type 2 diabetes mellitus (T2D), fasting glucose, fasting insulin, and body mass index (BMI) are causally associated with specific ischemic stroke subtypes.Methods:MR estimates of the association between each possible risk factor and ischemic stroke subtypes were calculated with inverse-variance weighted (conventional) and weighted median approaches, and MR-Egger regression was used to explore pleiotropy. The number of single nucleotide polymorphisms (SNPs) used as instrumental variables was 49 for T2D, 36 for fasting glucose, 18 for fasting insulin, and 77 for BMI. Genome-wide association study data of SNP-stroke associations were derived from METASTROKE and the Stroke Genetics Network (n = 18,476 ischemic stroke cases and 37,296 controls).Results:Conventional MR analysis showed associations between genetically predicted T2D and large artery stroke (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.16–1.40, p = 3.3 × 10−7) and small vessel stroke (OR 1.21, 95% CI 1.10–1.33, p = 8.9 × 10−5) but not cardioembolic stroke (OR 1.06, 95% CI 0.97–1.15, p = 0.17). The association of T2D with large artery stroke but not small vessel stroke was consistent in a sensitivity analysis using the weighted median method, and there was no evidence of pleiotropy. Genetically predicted fasting glucose and fasting insulin levels and BMI were not statistically significantly associated with any ischemic stroke subtype.Conclusions:This study provides support that T2D may be causally associated with large artery stroke.
Published: 2017

38. STROBE-MR: Guidelines for strengthening the reporting of Mendelian randomization studies

Author: Nicholas J. Timpson, Matthias Egger, Benjamin Woolf, George Davey Smith, Neil M Davies, Veronika Skrivankova, James Yarmolinsky, Valentina Gallo, Anne Tybjærg-Hansen, Robert M. Golub, Julian P T Higgins, Claudia Langenberg, Elizabeth Loder, Tyler J. VanderWeele, Rebecca C Richmond, Sonja A. Swanson, Niki Dimou, and J. Brent Richards
Subjects: medicine.medical_specialty, Physical medicine and rehabilitation, business.industry, Mendelian randomization, medicine, business
Abstract: While the number of studies using Mendelian randomization (MR) methods has grown exponentially in the last decade, the quality of reporting of these studies often has been poor. Similar to other reporting guidelines such as CONSORT (Consolidated Standards of Reporting Trials) for randomised trials and STROBE (STrenghtening the Reporting of Observational studies in Epidemiology) for observational studies in epidemiology, the STROBE-MR working group aims to provide guidance to authors on how to improve reporting of MR studies and help readers, reviewers, and journal editors to evaluate the quality of the presented evidence. Empirical evidence indicates that many reports of MR studies do not clearly state or examine the various assumptions of MR methods and report insufficient details on the data sources, which makes it hard to evaluate the quality and reliability of the results. The STROBE-MR guidance covers both one sample and two sample MR studies. At present, the draft checklist consists of 20 items, organized into the title and abstract, introduction, methods, results and discussion sections of articles. As these guidelines aim to reach the entire MR community, we would like to give everyone the opportunity to contribute their comments. The following draft of the STROBE-MR checklist is open for public discussion and all feedback will be taken into account during its next revision. For feedback, please use the comment section below this post on PeerJ Preprints. We hope the final guidelines will serve the entire community and contribute to improving the reporting of MR studies in the future.
Published: 2019
Full Text: View/download PDF

39. Metabolomics Analytics Workflow for Epidemiological Research

Author: A. Heather Eliassen, Claudia Langenberg, Jiaqi Huang, Fred K. Tabung, Marinella Temprosa, Andrew J. Kim, Susan Cheng, Wei Perng, Mir Henglin, Sei Harada, Ewy Mathé, Tengda Lin, Matej Orešič, Mary C. Playdon, Wei Jie Seow, Steven C. Moore, Marc J. Gunter, Bo L. Chawes, Jan Krumsiek, Amit Joshi, Eline H. van Roekel, Andrea Gsur, Oana A. Zeleznik, Ying Wang, Epidemiologie, RS: GROW - R1 - Prevention, Tabung, Fred K [0000-0001-8193-7150], van Roekel, Eline H [0000-0002-9402-2029], Mathé, Ewy [0000-0003-4491-8107], Chawes, Bo [0000-0001-6846-6243], Oresic, Matej [0000-0002-2856-9165], Zeleznik, Oana A [0000-0002-8705-1163], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, medicine.medical_specialty, Standardization, Computer science, Endocrinology, Diabetes and Metabolism, data analysis, lcsh:QR1-502, Biochemistry, lcsh:Microbiology, Article, DISEASE, 03 medical and health sciences, VEGETARIANS, 0302 clinical medicine, Metabolomics, statistical analysis, MALE MEAT-EATERS, Epidemiology, medicine, Information system, AMINO-ACIDS, Biomarker discovery, Molecular Biology, FISH-EATERS, reporting, pre-processing, CANCER RISK, business.industry, BETA-CAROTENE, PROFILES, Data science, metabolomics, HUMAN BLOOD, 3. Good health, Variety (cybernetics), analytical methods, 030104 developmental biology, Workflow, Analytics, 030220 oncology & carcinogenesis, VISUALIZATION, epidemiology, business
Abstract: The application of metabolomics technology to epidemiological studies is emerging as a new approach to elucidate disease etiology and for biomarker discovery. However, analysis of metabolomics data is complex and there is an urgent need for the standardization of analysis workflow and reporting of study findings. To inform the development of such guidelines, we conducted a survey of 47 cohort representatives from the Consortium of Metabolomics Studies (COMETS) to gain insights into the current strategies and procedures used for analyzing metabolomics data in epidemiological studies worldwide. The results indicated a variety of applied analytical strategies, from biospecimen and data pre-processing and quality control to statistical analysis and reporting of study findings. These strategies included methods commonly used within the metabolomics community and applied in epidemiological research, as well as novel approaches to pre-processing pipelines and data analysis. To help with these discrepancies, we propose use of open-source initiatives such as the online web-based tool COMETS Analytics, which includes helpful tools to guide analytical workflow and the standardized reporting of findings from metabolomics analyses within epidemiological studies. Ultimately, this will improve the quality of statistical analyses, research findings, and study reproducibility.
Published: 2019

40. Quality of dietary fat and genetic risk of type 2 diabetes:individual participant data meta-analysis

Author: Christina Ellervik, Toshiko Tanaka, Paul M. Ridker, Julie E. Buring, Yuvaraj Mahendran, Rebecca Rohde, Oscar H. Franco, Trudy Voortman, Yii-Der Ida Chen, Kristin L. Young, Kenneth J. Mukamal, K. Saaksjarvi, Peitao Wu, Jerome I. Rotter, Elizabeth Selvin, Audrey Y. Chu, Niels Grarup, Torben Hansen, Lydia A. Bazzano, Meir J. Stampfer, Kari E. North, George Hindy, Nita G. Forouhi, Peter Kraft, Kim Overvad, Camilla H. Sandholt, Paul W. Franks, Ulla Toft, Majken K. Jensen, Veikko Salomaa, Chloé Sarnowski, Bruce M. Psaty, Thorkild I. A. Sørensen, Rozenn N. Lemaitre, Satu Männistö, Jordi Merino, Anne Tjønneland, Alexis C. Frazier-Wood, James B. Meigs, Frank B. Hu, Anne E. Justice, Oluf Pedersen, Marta Guasch-Ferré, Christina-Alexandra Schulz, Caren E. Smith, Jose C. Florez, Dariush Mozaffarian, Claudia Langenberg, Tuomas O. Kilpeläinen, Jaeyoung Hong, Ching-Ti Liu, Mikko Kuokkanen, Annamari Lundqvist, Nicholas J. Wareham, Jian'an Luan, Markus Perola, Josée Dupuis, Hassan S. Dashti, Marju Orho-Melander, Ulrika Ericson, Lu Qi, Stephen J. Sharp, Ming Ding, Jose M. Ordovas, Fumiaki Imamura, Daniel I. Chasman, Kim V.E. Braun, Dianjianyi Sun, Epidemiology, Merino, Jordi [0000-0001-8312-1438], and Apollo - University of Cambridge Repository
Subjects: Male, PREDICTION, Type 2 diabetes, 030204 cardiovascular system & hematology, Corrections, Polyunsaturated fat, 0302 clinical medicine, Risk Factors, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, 2. Zero hunger, ARCHITECTURE, Nutrition and Dietetics, Incidence, Hazard ratio, ASSOCIATION, General Medicine, Middle Aged, 3. Good health, Näringslära, CARDIOVASCULAR-DISEASE, Meta-analysis, NUTRITION, Female, Cohort study, Adult, medicine.medical_specialty, 030209 endocrinology & metabolism, Lower risk, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Diet/adverse effects, Internal medicine, MANAGEMENT, medicine, Humans, CORONARY-HEART-DISEASE, Alleles, Proportional Hazards Models, business.industry, MORTALITY, Research, medicine.disease, Dietary Fats, PREVENTION, PREDISPOSITION, Confidence interval, Diet, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 2/epidemiology, Dietary Fats/adverse effects, business, Genome-Wide Association Study
Abstract: Objective To investigate whether the genetic burden of type 2 diabetes modifies the association between the quality of dietary fat and the incidence of type 2 diabetes. Design Individual participant data meta-analysis. Data sources Eligible prospective cohort studies were systematically sourced from studies published between January 1970 and February 2017 through electronic searches in major medical databases (Medline, Embase, and Scopus) and discussion with investigators. Review methods Data from cohort studies or multicohort consortia with available genome-wide genetic data and information about the quality of dietary fat and the incidence of type 2 diabetes in participants of European descent was sought. Prospective cohorts that had accrued five or more years of follow-up were included. The type 2 diabetes genetic risk profile was characterized by a 68-variant polygenic risk score weighted by published effect sizes. Diet was recorded by using validated cohort-specific dietary assessment tools. Outcome measures were summary adjusted hazard ratios of incident type 2 diabetes for polygenic risk score, isocaloric replacement of carbohydrate (refined starch and sugars) with types of fat, and the interaction of types of fat with polygenic risk score. Results Of 102 305 participants from 15 prospective cohort studies, 20 015 type 2 diabetes cases were documented after a median follow-up of 12 years (interquartile range 9.4-14.2). The hazard ratio of type 2 diabetes per increment of 10 risk alleles in the polygenic risk score was 1.64 (95% confidence interval 1.54 to 1.75, I 2 =7.1%, τ 2 =0.003). The increase of polyunsaturated fat and total omega 6 polyunsaturated fat intake in place of carbohydrate was associated with a lower risk of type 2 diabetes, with hazard ratios of 0.90 (0.82 to 0.98, I 2 =18.0%, τ 2 =0.006; per 5% of energy) and 0.99 (0.97 to 1.00, I 2 =58.8%, τ 2 =0.001; per increment of 1 g/d), respectively. Increasing monounsaturated fat in place of carbohydrate was associated with a higher risk of type 2 diabetes (hazard ratio 1.10, 95% confidence interval 1.01 to 1.19, I 2 =25.9%, τ 2 =0.006; per 5% of energy). Evidence of small study effects was detected for the overall association of polyunsaturated fat with the risk of type 2 diabetes, but not for the omega 6 polyunsaturated fat and monounsaturated fat associations. Significant interactions between dietary fat and polygenic risk score on the risk of type 2 diabetes (P>0.05 for interaction) were not observed. Conclusions These data indicate that genetic burden and the quality of dietary fat are each associated with the incidence of type 2 diabetes. The findings do not support tailoring recommendations on the quality of dietary fat to individual type 2 diabetes genetic risk profiles for the primary prevention of type 2 diabetes, and suggest that dietary fat is associated with the risk of type 2 diabetes across the spectrum of type 2 diabetes genetic risk.
Published: 2019

41. Interleukin-18 as a drug repositioning opportunity for inflammatory bowel disease: A Mendelian randomization study

Author: Luke Devey, Lon R. Cardon, Sirui Zhou, Dawn Waterworth, Cong Guo, George Davey Smith, Robert A. Scott, Claudia Langenberg, Lauren E. Mokry, J. Brent Richards, Philippe Sanseau, Nicholas J. Wareham, Richards, J. Brent [0000-0002-3746-9086], Apollo - University of Cambridge Repository, and Richards, J Brent [0000-0002-3746-9086]
Subjects: 0301 basic medicine, Oncology, Epidemiology, 45/43, lcsh:Medicine, Type 2 diabetes, Severity of Illness Index, Inflammatory bowel disease, law.invention, 631/208, 0302 clinical medicine, Randomized controlled trial, law, Odds Ratio, 692/308/174, lcsh:Science, Enterocolitis, Receptors, Interleukin-18, Multidisciplinary, Drug discovery, Anti-Inflammatory Agents, Non-Steroidal, Confounding, Interleukin-18, article, 3. Good health, Drug repositioning, Treatment Outcome, 692/4020/1503/257, medicine.symptom, medicine.medical_specialty, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, 03 medical and health sciences, Internal medicine, Mendelian randomization, Genetics, medicine, Humans, Genetic Predisposition to Disease, Alleles, business.industry, lcsh:R, Drug Repositioning, 631/154, Mendelian Randomization Analysis, Inflammatory Bowel Diseases, medicine.disease, 030104 developmental biology, lcsh:Q, business, Biomarkers, 030217 neurology & neurosurgery
Abstract: Support from human genetics increases the probability of success in drug development. However, few examples exist of successful genomically-driven drug repositioning. Given that a Mendelian form of severe enterocolitis is due to up-regulation of the interleukin-18 (IL18) signaling pathway, and pharmacologic inhibition of IL18 has been shown to reverse this enterocolitis, we undertook a Mendelian randomization study to test the causal effect of elevated IL18 levels on inflammatory bowel disease susceptibility (IBD) in 12,882 cases and 21,770 controls. Mendelian randomization is an established method to assess the role of biomarkers in disease etiology in a manner that minimizes confounding and prevents reverse causation. Using three SNPs that explained almost 7% of the variance in IL18 level, we found that each genetically predicted standard deviation increase in IL18 was associated with an increase in IBD susceptibility (odds ratio = 1.22, 95% CI = 1.11–1.34, P-value = 6 × 10−5). This association was further validated in 25,042 IBD cases and 34,915 controls (odds ratio = 1.13, 95% CI = 1.05–1.20). Recently, an anti-IL18 monoclonal antibody, which decreased free IL18 levels, was found to be safe, yet ineffective in a phase II trial for type 2 diabetes. Taken together, these genomic findings implicated IBD as an alternative indication for anti-IL18 therapy, which should be tested in randomized controlled trials.
Published: 2019

42. The Consortium of Metabolomics Studies (COMETS):Metabolomics in 47 Prospective Cohort Studies

Author: Jackie F. Price, Marc J. Gunter, Lorelei A. Mucci, Therese Tillin, Qibin Qi, Loic Le Marchand, Tamara B. Harris, Luca A. Lotta, Clara Barrios Barrera, Yoav Ben-Shlomo, Rachael Z. Stolzenberg-Solomon, Kathryn M. Rexrode, Massimo Mangino, Svati H. Shah, Sei Harada, Toru Takebayashi, David M. Herrington, A. Heather Eliassen, Clary B. Clish, Debbie A Lawlor, Cornelia M. Ulrich, Mika Kivimäki, Deron R. Herr, Juan P. Casas, Naji Younes, Cristina Menni, Joshua N. Sampson, Jessica Lasky-Su, Ioanna Tzoulaki, Gordon C. S. Smith, Ying Wang, Ulla Sovio, Wei Jie Seow, Nathan Appel, Andriy Derkach, Chin Meng Khoo, Matej Orešič, Bing Yu, Andrew Wong, Bruce S. Kristal, Lucilla Poston, Eric Boerwinkle, Charles E. Matthews, Xiao-Ou Shu, Paul Elliott, C Gieger, Howard D. Sesso, Mary C. Playdon, Wei Zheng, Adam Risch, Victoria L. Stevens, Mattias Johansson, Ewy Mathé, Jennifer Ose, Nicholas J. Wareham, Marinella Temprosa, Alexandre C. Pereira, Ruth C. Travis, Steven C. Moore, Krista A. Zanetti, Eoin Fahy, Hua Zhao, Ramachandran S. Vasan, Claudia Langenberg, Rachel S. Kelly, Caroline Dale, Ann W. Hsing, Joel N. Hirschhorn, Mukesh Verma, Abbas Dehghan, Eric S. Orwoll, Rachel A. Murphy, Elise Hoover, Demetrius Albanes, Home Office, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, Medical Research Council (MRC), UK DRI Ltd, Langenberg, Claudia [0000-0002-5017-7344], Smith, Gordon [0000-0003-2124-0997], Sovio, Ulla [0000-0002-0799-1105], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: Gerontology, Male, Epidemiology, Health Behavior, Disease, heart disease, Global Health, Body Mass Index, COLORECTAL-CANCER, 0302 clinical medicine, Interquartile range, genetics, NATIONAL DEATH INDEX, 030212 general & internal medicine, Longitudinal Studies, Prospective Studies, Prospective cohort study, Child, 11 Medical and Health Sciences, Public, Environmental & Occupational Health, Cancer, Aged, 80 and over, Hematologic Tests, diabetes, Diabetes, Cohort, cohort, Middle Aged, metabolomics, Prospective, Heart Disease, 030220 oncology & carcinogenesis, Female, Life Sciences & Biomedicine, Bristol Population Health Science Institute, Adult, medicine.medical_specialty, Adolescent, PROSTATE-CANCER RISK, ATHEROSCLEROSIS RISK, National Death Index, 03 medical and health sciences, Young Adult, Metabolomics, OSTEOPOROTIC FRACTURES, MALE MEAT-EATERS, Metabolome, medicine, Genetics, Humans, cancer, BREAST-CANCER, 01 Mathematical Sciences, Aged, Study Design, Science & Technology, business.industry, BETA-CAROTENE, prospective, BODY-MASS INDEX, Socioeconomic Factors, METABOLITE PROFILES, business, Epidemiologic Methods, Biomarkers
Abstract: The Consortium of Metabolomics Studies (COMETS) was established in 2014 to facilitate large-scale collaborative research on the human metabolome and its relationship with disease etiology, diagnosis, and prognosis. COMETS comprises 47 cohorts from Asia, Europe, North America, and South America that together include more than 136,000 participants with blood metabolomics data on samples collected from 1985 to 2017. Metabolomics data were provided by 17 different platforms, with the most frequently used labs being Metabolon, Inc. (14 cohorts), the Broad Institute (15 cohorts), and Nightingale Health (11 cohorts). Participants have been followed for a median of 23 years for health outcomes including death, cancer, cardiovascular disease, diabetes, and others; many of the studies are ongoing. Available exposure-related data include common clinical measurements and behavioral factors, as well as genome-wide genotype data. Two feasibility studies were conducted to evaluate the comparability of metabolomics platforms used by COMETS cohorts. The first study showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories. The second study showed that the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79 (interquartile range, 0.56-0.89).
Published: 2019

43. Separate and combined associations of obesity and metabolic health with coronary heart disease: a pan-European case-cohort analysis

Author: Sara Grioni, Giuseppe Matullo, Heiner Boeing, Ioanna Tzoulaki, J. Ramón Quirós, Yvonne T. van der Schouw, Concepción Moreno-Iribas, Jolanda M. A. Boer, Elio Riboli, Michail Katsoulis, Larraitz Arriola, Guri Skeie, Pietro Ferrari, Emanuele Di Angelantonio, Timothy J. Key, Adam S. Butterworth, Matthias Johansson, Gunnar Engström, Antonia Trichopoulou, Patrik Wennberg, Verena Katzke, Fabrice Bonnet, Calogero Saieva, Elisabete Weiderpass, Heinz Freisling, W M Monique Verschuren, Anne Kirstine Eriksen, Laura Johnson, Annika Steffen, Kim Overvad, John Danesh, Karel G.M. Moons, Magdalena Stepien, Margareta Norberg, Michael J. Sweeting, Vassiliki Benetou, Nicholas J. Wareham, Olle Melander, Elena Molina-Portillo, Claudia Agnoli, Rudolf Kaaks, Camille Lassale, Salvatore Panico, Claudia Langenberg, Rosario Tumino, Anne Tjønneland, José María Huerta, Sandra Colorado-Yohar, Daphne L. van der A, Lassale, Camille, Tzoulaki, Ioanna, Moons, Karel G. M, Sweeting, Michael, Boer, Jolanda, Johnson, Laura, Huerta, José María, Agnoli, Claudia, Freisling, Heinz, Weiderpass, Elisabete, Wennberg, Patrik, Van Der A, Daphne L, Arriola, Larraitz, Benetou, Vassiliki, Boeing, Heiner, Bonnet, Fabrice, Colorado yohar, Sandra M, Engström, Gunnar, Eriksen, Anne K, Ferrari, Pietro, Grioni, Sara, Johansson, Matthia, Kaaks, Rudolf, Katsoulis, Michail, Katzke, Verena, Key, Timothy J, Matullo, Giuseppe, Melander, Olle, Molina portillo, Elena, Moreno iribas, Concepción, Norberg, Margareta, Overvad, Kim, Panico, Salvatore, Quirós, J. Ramón, Saieva, Calogero, Skeie, Guri, Steffen, Annika, Stepien, Magdalena, Tjønneland, Anne, Trichopoulou, Antonia, Tumino, Rosario, Van Der Schouw, Yvonne T, Verschuren, W. M. Monique, Langenberg, Claudia, Di Angelantonio, Emanuele, Riboli, Elio, Wareham, Nicholas J, Danesh, John, Butterworth, Adam S., Imperial College Trust, and Commission of the European Communities
Subjects: Gerontology, Male, obesity, Cardiac & Cardiovascular Systems, Epidemiology, CARDIOMETABOLIC TRAITS, physical activity, Coronary Disease, 030204 cardiovascular system & hematology, Body Mass Index, German, 0302 clinical medicine, 030212 general & internal medicine, ALL-CAUSE MORTALITY, media_common, Adiposity, 2. Zero hunger, Coronary heart disease, Metabolic syndrome, Obesity, METABOLICALLY HEALTHY, Middle Aged, waist circumference, 3. Good health, Europe, MENDELIAN RANDOMIZATION, language, Female, body mass index procedure, Cardiology and Cardiovascular Medicine, Life Sciences & Biomedicine, Cohort study, medicine.medical_specialty, 1102 Cardiovascular Medicine And Haematology, smoking, POOLED ANALYSIS, 03 medical and health sciences, medicine, Journal Article, media_common.cataloged_instance, Humans, overweight, European union, coronary heart disease, Metabolic health, INCIDENT CARDIOVASCULAR-DISEASE, Government, Science & Technology, business.industry, FAT DISTRIBUTION, coronary heart disease risk, medicine.disease, language.human_language, BODY-MASS INDEX, PHYSICAL-ACTIVITY, Cardiovascular System & Hematology, Family medicine, Case-Control Studies, Cardiovascular System & Cardiology, RISK-FACTORS, business
Abstract: Aims: The hypothesis of ‘metabolically healthy obesity’ implies that, in the absence of metabolic dysfunction, individuals with excess adiposity are not at greater cardiovascular risk. We tested this hypothesis in a large pan-European prospective study. Methods and results: We conducted a case-cohort analysis in the 520 000-person European Prospective Investigation into Cancer and Nutrition study (‘EPIC-CVD’). During a median follow-up of 12.2 years, we recorded 7637 incident coronary heart disease (CHD) cases. Using cut-offs recommended by guidelines, we defined obesity and overweight using body mass index (BMI), and metabolic dysfunction (‘unhealthy’) as >_ 3 of elevated blood pressure, hypertriglyceridaemia, low HDL-cholesterol, hyperglycaemia, and elevated waist circumference. We calculated hazard ratios (HRs) and 95% confidence intervals (95% CI) within each country using Prentice-weighted Cox proportional hazard regressions, accounting for age, sex, centre, education, smoking, diet, and physical activity. Compared with metabolically healthy normal weight people (reference), HRs were 2.15 (95% CI: 1.79; 2.57) for unhealthy normal weight, 2.33 (1.97; 2.76) for unhealthy overweight, and 2.54 (2.21; 2.92) for unhealthy obese people. Compared with the reference group, HRs were 1.26 (1.14; 1.40) and 1.28 (1.03; 1.58) for metabolically healthy overweight and obese people, respectively. These results were robust to various sensitivity analyses. Conclusion: Irrespective of BMI, metabolically unhealthy individuals had higher CHD risk than their healthy counterparts. Conversely, irrespective of metabolic health, overweight and obese people had higher CHD risk than lean people. These findings challenge the concept of ‘metabolically healthy obesity’, encouraging population-wide strategies to tackle obesity., European Union (EU) HEALTH-F2-2012-279233, European Research Council (ERC) 268834, Medical Research Council UK (MRC) G0800270 MR/L003120/1 MR/M012190/1, British Heart Foundation SP/09/002 RG/08/014 RG13/13/30194, National Institute for Health Research (NIHR), Regional Government of Asturias, Hellenic Health Foundation, German Cancer Aid, German Cancer Research Centre, German Federal Ministry of Education and Research, Cancer Research UK 570/A16491, Regione Sicilia, Associazione Iblea per la Ricerca Epidemiologica (A.I.R.E.) - ONLUS Ragusa, Associazione Volontari Italiani Sangue AVIS Ragusa, Compagnia di San Paolo, Human Genetics Foundation-Torino (HuGeF), British Heart Foundation RG/13/13/30194 RG/08/014/24067, Cancer Research UK 16491, Medical Research Council UK (MRC) MR/L003120/1 G0800270 MC_UU_12015/1, National Institute for Health Research (NIHR) NF-SI-0512-10135 NF-SI-0512-10165, Novo Nordisk Foundation NNF17OC0026936
Published: 2019

44. SNPs associated withHHIPexpression have differential effects on lung function in males and females

Author: Peter D. Sly, Re Foong, Ozren Polasek, Nicole Probst-Hensch, Ian P. Hall, Graham L. Hall, Tobin, Pirro G. Hysi, Teemu Palviainen, Mika Kähönen, Veronique Vitart, Louise V. Wain, Carl A. Melbourne, Don D. Sin, Anna L. Guyatt, Henry Völzke, Ca Wang, Katherine A. Fawcett, David J. Porteous, John M. Starr, Claudia Langenberg, Igor Rudan, Ke Hao, Stefan Weiss, Terho Lehtimäki, Kirsi H. Pietiläinen, David M. Evans, Ian J. Deary, Jian'an Luan, James F. Wilson, David P. Strachan, Taina Rantanen, Catherine John, Nicola Pirastu, O T Raitakari, Berge M van den, Karina Patasova, Claudia Flexeder, Medea Imboden, Thibaud Boutin, Mangino Massimo, Archie Campbell, Lucija Klaric, Leo-Pekka Lyytikäinen, Nick Shrine, Sebastian May-Wilson, Beate Stubbe, Ralf Ewert, Dirk Keidel, Sarah E. Harris, Tim D. Spector, Ma'en Obeidat, John Henderson, Cosetta Minelli, Moksnes, Raquel Granell, Blair H. Smith, Arnulf Langhammer, Craig E. Pennell, Nicholas J. Wareham, Caroline Hayward, Ben Michael Brumpton, Yohan Bossé, Peter K. Joshi, Susan M. Ring, Sandosh Padmanabhan, Cristen J. Willer, Kristian Hveem, Deborah Jarvis, J Kaprio, Laura Portas, and Anne Richmond
Subjects: Spirometry, 0303 health sciences, COPD, medicine.medical_specialty, Lung, medicine.diagnostic_test, Single-nucleotide polymorphism, Biology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Endocrinology, 030228 respiratory system, Internal medicine, medicine, SNP, Allele, Beta (finance), Lung function, 030304 developmental biology
Abstract: Adult lung function is highly heritable and 279 genetic loci were recently reported as associated with spirometry-based measures of lung function. Though lung development and function differ between males and females throughout life, there has been no genome-wide study to identify genetic variants with differential effects on lung function in males and females. Here, we present the first genome-wide genotype-by-sex interaction study on four lung function traits in 303,612 participants from the UK Biobank. We detected five SNPs showing genome-wide significant (P−8) interactions with sex on lung function, as well as 21 suggestively significant interactions (P−6). The strongest sex interaction signal came from rs7697189 at 4:145436894 on forced expiratory volume in 1 second (FEV1) (P = 3.15 × 10−15), and was replicated (P = 0.016) in 75,696 individuals in the SpiroMeta consortium. Sex-stratified analyses demonstrated that the minor (C) allele of rs7697189 increased lung function to a greater extent in males than females (untransformed FEV1β = 0.028 [SE 0.0022] litres in males vs β = 0.009 [SE 0.0014] litres in females), and this effect was not accounted for by differential effects on height, smoking or age at puberty. This SNP resides upstream of the gene encoding hedgehog-interacting protein (HHIP) and has previously been reported for association with lung function andHHIPexpression in lung tissue. In our analyses, whileHHIPexpression in lung tissue was significantly different between the sexes with females having higher expression (most significant probeset P=6.90 × 10−6) after adjusting for age and smoking, rs7697189 did not demonstrate sex differential effects on expression. Establishing the mechanism by whichHHIPSNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases, such as chronic obstructive pulmonary disease (COPD), in both sexes.
Published: 2019

45. Association of menopausal characteristics and risk of coronary heart disease: a pan-European case-cohort analysis

Author: Giuseppe Matullo, Kaja Tikk, Stephen Burgess, Elena Salamanca-Fernández, Emanuele Di Angelantonio, María Dolores Chirlaque, Clare Oliver-Williams, Elio Riboli, Conchi Moreno-Iribas, Larraitz Arriola, Renée T. Fortner, N. Charlotte Onland-Moret, Elisabete Weiderpass, Salvatore Panico, Patrik Wennberg, Anna Karakatsani, Adam S. Butterworth, Veerle Dam, Françoise Clavel-Chapelon, Gunnar Engström, Sandra Colorado-Yohar, W M Monique Verschuren, Marianne Holm, Maria Nordendahl, Karel G.M. Moons, Michael J. Sweeting, Rolf H.H. Groenwold, Carlo La Vecchia, Sanne A.E. Peters, Jolanda M. A. Boer, Nicholas J. Wareham, Sabina Sieri, Pietro Ferrari, Kim Overvad, Tilman Kühn, Antonia Trichopoulou, Angela M. Wood, Ewoud Schuit, Rosario Tumino, Timothy J. Key, J. Ramón Quirós, Giovanna Masala, Yvonne T. van der Schouw, John Danesh, Marc J. Gunter, Olle Melander, Anne Tjønneland, Claudia Langenberg, Heiner Boeing, Burgess, Stephen [0000-0001-5365-8760], Wood, Angela [0000-0002-7937-304X], Oliver-Williams, Clare [0000-0002-3573-2426], Di Angelantonio, Emanuele [0000-0001-8776-6719], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Danesh, John [0000-0003-1158-6791], Butterworth, Adam [0000-0002-6915-9015], and Apollo - University of Cambridge Repository
Subjects: Adult, medicine.medical_specialty, Epidemiology, Ovariectomy, 030204 cardiovascular system & hematology, coronary disease, Menopause and Heart Disease, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Pan european, Internal medicine, Journal Article, Medicine, Humans, risk factors, VDP::Medisinske Fag: 700, 030212 general & internal medicine, Proportional Hazards Models, Proportional hazards model, business.industry, Age Factors, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Middle Aged, medicine.disease, Coronary heart disease, Menopause, VDP::Medical disciplines: 700, Europe, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Postsurgical menopause, ageing, Female, women, business, Cohort study
Abstract: Background Earlier age at menopause has been associated with increased risk of coronary heart disease (CHD), but the shape of association and role of established cardiovascular risk factors remain unclear. Therefore, we examined the associations between menopausal characteristics and CHD risk; the shape of the association between age at menopause and CHD risk; and the extent to which these associations are explained by established cardiovascular risk factors. Methods We used data from EPIC-CVD, a case–cohort study, which includes data from 23 centres from 10 European countries. We included only women, of whom 10 880 comprise the randomly selected sub-cohort, supplemented with 4522 cases outside the sub-cohort. We conducted Prentice-weighted Cox proportional hazards regressions with age as the underlying time scale, stratified by country and adjusted for relevant confounders. Results After confounder and intermediate adjustment, post-menopausal women were not at higher CHD risk compared with pre-menopausal women. Among post-menopausal women, earlier menopause was linearly associated with higher CHD risk [HRconfounder and intermediate adjusted per-year decrease = 1.02, 95% confidence interval (CI) = 1.01–1.03, p = 0.001]. Women with a surgical menopause were at higher risk of CHD compared with those with natural menopause (HRconfounder-adjusted = 1.25, 95% CI = 1.10–1.42, p Conclusions Earlier and surgical menopause were associated with higher CHD risk. These associations could partially be explained by differences in conventional cardiovascular risk factors. These women might benefit from close monitoring of cardiovascular risk factors and disease.
Published: 2019

46. Association of plasma vitamin D metabolites with incident type 2 diabetes: EPIC-InterAct case-cohort study

Author: Courtney Dow, Olatz Mokoroa, Catalina Bonet, Claudia Langenberg, Tilman Kühn, Ivonne Sluijs, Anne Tjønneland, Elena Salamanca-Fernández, Cristina Lasheras, Olov Rolandsson, Jesús Humberto Gómez, Timothy J. Key, Domenico Palli, Rosario Tumino, Nicholas J. Wareham, Ju-Sheng Zheng, Francesca Mancini, Annemieke M.W. Spijkerman, Kay-Tee Khaw, Nita G. Forouhi, Kim Overvad, Peter M. Nilsson, John Danesh, Carlotta Sacerdote, Thomas E. Gundersen, Sabina Sieri, Stephen J. Sharp, Salvatore Panico, Yvonne T. van der Schouw, Eva Ardanaz, Fumiaki Imamura, Magdalena Stepien, Guy Fagherazzi, Mazda Jenab, Adam S. Butterworth, Elio Riboli, Rudolf Kaaks, Paul W. Franks, Heiner Boeing, Zheng, Ju-Sheng, Imamura, Fumiaki, Sharp, Stephen J, van der Schouw, Yvonne T, Sluijs, Ivonne, Gundersen, Thomas E, Ardanaz, Eva, Boeing, Heiner, Bonet, Catalina, Gómez, Jesus Humberto, Dow, Courtney, Fagherazzi, Guy, Franks, Paul W, Jenab, Mazda, Kühn, Tilman, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay-Tee, Lasheras, Cristina, Mokoroa, Olatz, Mancini, Francesca Romana, Nilsson, Peter M, Overvad, Kim, Panico, Salvatore, Palli, Domenico, Rolandsson, Olov, Sieri, Sabina, Salamanca-Fernández, Elena, Sacerdote, Carlotta, Spijkerman, Annemieke Mw, Stepien, Magdalena, Tjonneland, Anne, Tumino, Rosario, Butterworth, Adam S, Riboli, Elio, Danesh, John, Langenberg, Claudia, Forouhi, Nita G, Wareham, Nicholas J, Zheng, Jusheng [0000-0001-6560-4890], Imamura, Fumiaki [0000-0002-6841-8396], Sharp, Stephen [0000-0003-2375-1440], Butterworth, Adam [0000-0002-6915-9015], Danesh, John [0000-0003-1158-6791], Langenberg, Claudia [0000-0002-5017-7344], Forouhi, Nita [0000-0002-5041-248X], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: Male, Metabolite, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Type 2 diabetes, DETERMINANTS, Biochemistry, medical, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Risk Factors, 030212 general & internal medicine, Prospective Studies, Vitamin D, Prospective cohort study, POPULATION, RISK, education.field_of_study, Nutrition and Dietetics, Incidence, Stereoisomerism, Middle Aged, CANCER, 3. Good health, European Prospective Investigation into Cancer and Nutrition, Näringslära, Europe, Diabetes and Metabolism, Vitamin D/blood, Endokrinologi och diabetes, LIFE-STYLE, NUTRITION, Female, C-3 EPIMER, Diabetes Mellitus, Type 2/blood, Life Sciences & Biomedicine, Cohort study, Adult, medicine.medical_specialty, Diabetes, Pancreatic and Gastrointestinal Hormones, Population, 030209 endocrinology & metabolism, Endocrinology and Diabetes, Europe/epidemiology, 03 medical and health sciences, Endocrinology & Metabolism, Internal medicine, Diabetes mellitus, medicine, Vitamin D and neurology, Humans, education, Clinical Research Articles, METAANALYSIS, Biochemistry, medical, Science & Technology, D-3, Biochemistry (medical), 1103 Clinical Sciences, medicine.disease, chemistry, Diabetes Mellitus, Type 2, 1114 Paediatrics and Reproductive Medicine, SERUM 25-HYDROXYVITAMIN D, Biomarkers/blood, Biomarkers
Abstract: Background Existing evidence for the prospective association of vitamin D status with type 2 diabetes (T2D) is focused almost exclusively on circulating total 25-hydroxyvitamin D [25(OH)D] without distinction between its subtypes: nonepimeric and epimeric 25(OH)D3 stereoisomers, and 25(OH)D2, the minor component of 25(OH)D. We aimed to investigate the prospective associations of circulating levels of the sum and each of these three metabolites with incident T2D. Methods This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)–InterAct case-cohort study for T2D included 9671 incident T2D cases and 13,562 subcohort members. Plasma vitamin D metabolites were quantified by liquid chromatography–mass spectrometry. We used a multivariable Prentice-weighted Cox regression to estimate hazard ratios (HRs) of T2D for each metabolite. Analyses were performed separately within country, and estimates were combined across countries using random-effects meta-analysis. Results The mean concentrations (SD) of total 25(OH)D, nonepimeric 25(OH)D3, epimeric 25(OH)D3, and 25(OH)D2 were 41.1 (17.2), 40.7 (17.3), 2.13 (1.31), and 8.16 (6.52) nmol/L, respectively. Plasma total 25(OH)D and nonepimeric 25(OH)D3 were inversely associated with incident T2D [multivariable-adjusted HR per 1 SD = 0.81 (95% CI, 0.77, 0.86) for both variables], whereas epimeric 25(OH)D3 was positively associated [per 1 SD HR = 1.16 (1.09, 1.25)]. There was no statistically significant association with T2D for 25(OH)D2 [per 1 SD HR = 0.94 (0.76, 1.18)]. Conclusions Plasma nonepimeric 25(OH)D3 was inversely associated with incident T2D, consistent with it being the major metabolite contributing to total 25(OH)D. The positive association of the epimeric form of 25(OH)D3 with incident T2D provides novel information to assess the biological relevance of vitamin D epimerization and vitamin D subtypes in diabetes etiology., We examined the prospective association of plasma vitamin D metabolites with type 2 diabetes and found that the epimeric form of plasma 25(OH)D3 was positively associated with type 2 diabetes risk.
Published: 2019

47. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Chris Finan, Yoav Ben-Shlomo, Eric B. Larson, Tine Jess, Richard W Morris, Daniel I. Chasman, Fernando Pires Hartwig, Catherine Welch, Rodney J. Scott, Helen E. Speedy, Andrzej Pajak, Raha Pazoki, André G. Uitterlinden, Torben Hansen, Marc Sanson, Hakon Hakonarson, Claudia Langenberg, Joey Ward, John Wright, Dorothée Thuillier, Ben Kinnersley, Diederick E. Grobbee, Yvonne T. van der Schouw, Pieter Sonneveld, Michiel L. Bots, Harold Snieder, Karim Labreche, Dan M. Roden, Archie Campbell, Melissa C. Smart, Christine Power, Pim van der Harst, Amélie Bonnefond, Ingrid E. Christophersen, Riyaz S. Patel, Uwe Völker, Stephen Hancock, Niels Grarup, Dennis O. Mook-Kanamori, Mariza de Andrade, Caroline Dale, N. Charlotte Onland-Moret, David R. Crosslin, Meena Kumari, Erik Ingelsson, Michael V. Holmes, Spiros Denaxas, Sudha Seshadri, Kees Hovingh, Marcus Dörr, Paul M. Ridker, Stefan Coassin, Albert Hofman, Andrew N. Nicolaides, Oluf Pedersen, Philippe Froguel, Simonetta Guarrera, Murray H. Brilliant, Sara E. Dobbins, Salim Yusuf, Kari Hemminki, Erik P A Van Iperen, Abbas Dehghan, Jill P. Pell, Alexander Teumer, Peter W. Schofield, Aroon D. Hingorani, Dan Mason, Amand F. Schmidt, Rui Bebiano Da Providencia E Costa, James M. Allan, Leslie A. Lange, Niels Weinhold, Stefan Gustafsson, Jackie F. Price, Mika Kivimäki, Hynek Pikhart, Kirchner H. Lester, Lars Lind, Philip J. Law, Cara L. Carty, David Preiss, Richard S. Houlston, Robin Young, Tom W. Meade, Martin O'Donnell, Alexander P. Reiner, Ni Li, Oscar H. Franco, Zammy Fairhurst-Hunter, Ronan Roussel, Tim Christen, Ilja Demuth, David Carrell, Catherine A. McCarty, Juan P. Casas, Johann Willeit, Peter H. Whincup, Stela McLachlan, Adelaida Sanchez-Galvez, Hartmut Goldschmidt, Guillaume Paré, Harry Hemingway, Anubha Mahajan, Elisabeth Steinhagen-Thiessen, Elizabeth G. Holliday, Giuseppe Matullo, Henry Völzke, Ian Ford, Martin Bobak, Pedro Marques-Vidal, Bertrand Cariou, Bernardo L. Horta, Melissa L. Bondy, Goya Wanamethee, Naveed Sattar, Steve E. Humphries, Marylyn D. Ritchie, Kristina Norman, Carlotta Sacerdote, Giovanni Fiorito, Sebastian E. Baumeister, Amit Sud, Dennis Valentine, Andreas Engert, Juri Demuth, Rupert Faraway, Abdonas Tamosiunas, Andrie G. Panayiotou, Terrie Kitchner, Lars Bertram, Sandosh Padmanabhan, Sofia Malyutina, Anke H. Maitland-van der Zee, Alex J. Cornish, Joshua C. Denny, Jian'an Luan, Robert A. Scott, Daniel I. Swerdlow, John Attia, Karin Willeit, Gareth J. Morgan, Michael Chong, Ruben N. Eppinga, Elina Hyppönen, Ekaterina V. Baranova, Jackie A. Cooper, Ghazaleh Fatemifar, Niek Verweij, Max Moldovan, Brendan J. Keating, M. Abdullah Said, Markus M. Lerch, Christina M. Lill, Markus Hansson, Jemma C. Hopewell, Björn Nilsson, Folkert W. Asselbergs, Ruzena Kubinova, Molly Went, Nicholas J. Wareham, Stefan Kiechl, Yanchun Bao, Allan Linneberg, Matthias Simon, Epidemiology and Data Science, Pulmonology, Paediatric Pulmonology, APH - Personalized Medicine, AII - Inflammatory diseases, AII - Cancer immunology, CCA - Cancer biology and immunology, Ear, Nose and Throat, Schmidt, Amand F, Holmes, Michael V, Preiss, David, Swerdlow, Daniel I, Hypponen, Elina, Dehghan, Abbas, Schmidt, Amand F [0000-0003-1327-0424], Apollo - University of Cambridge Repository, Lifelines Cohort, ICBP Consortium, METASTROKE Consortium of the ISGC, PharmacoTherapy, -Epidemiology and -Economics, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Schmidt, Amand F. [0000-0003-1327-0424], Epidemiology, and Hematology
Subjects: Oncology, lcsh:Diseases of the circulatory (Cardiovascular) system, Genetic association studies, Proprotein Convertase 9/genetics, Apolipoprotein B, Anticholesteremic Agents/adverse effects, Myocardial Infarction, Blood lipids, Genome-wide association study, 030204 cardiovascular system & hematology, Coronary artery disease, Gastroenterology, Medical and Health Sciences, Stroke/epidemiology, Brain Ischemia, 0302 clinical medicine, Risk Factors, Dyslipidemias/blood, Medicine, LDL-cholesterol, Cardiac and Cardiovascular Systems, 030212 general & internal medicine, Myocardial infarction, Mendelian randomisation, 1102 Cardiorespiratory Medicine and Haematology, Randomized Controlled Trials as Topic, Kardiologi, biology, Anticholesteremic Agents, PCSK9 Inhibitors, Single Nucleotide, 16. Peace & justice, LDL/blood, 3. Good health, Stroke, Cholesterol, Treatment Outcome, Cholesterol, LDL/blood, ICBP Consortium, Phenome-wide association scan, Proprotein Convertase 9, Cardiology and Cardiovascular Medicine, Research Article, medicine.medical_specialty, Serine Proteinase Inhibitors, Down-Regulation, 610 Medicine & health, Single-nucleotide polymorphism, Placebo, Polymorphism, Single Nucleotide, Risk Assessment, 03 medical and health sciences, Internal medicine, Genetic variation, Myocardial Infarction/epidemiology, Humans, Serine Proteinase Inhibitors/adverse effects, Polymorphism, Dyslipidemias, Genetic association, Lifelines Cohort authors, METASTROKE Consortium of the ISGC, business.industry, PCSK9, Cholesterol, LDL, Odds ratio, medicine.disease, Cardiovascular System & Hematology, lcsh:RC666-701, biology.protein, Brain Ischemia/epidemiology, Clinical Medicine, business, Biomarkers, Biomarkers/blood, Genome-Wide Association Study
Abstract: BackgroundWe characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9.MethodsPublished and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Fourteen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentrationResultsThe PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95%CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95%CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95%CI 0.57; 1.22) for the GS, compared to 0.85 (95%CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95%CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer’s disease – outcomes for which large-scale trial data were unavailable.ConclusionsGenetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. Apparent discordance between genetic associations and trial outcome for T2DM might be explained lack by a of statistical precision, or differences in the nature and duration of genetic versus pharmacological perturbation of PCSK9.FundingThis research was funded by the British Heart Foundation (SP/13/6/30554, RG/10/12/28456, FS/18/23/33512), UCL Hospitals NIHR Biomedical Research Centre, by the Rosetrees and Stoneygate Trusts.Condensed abstractEvidence on the long-term efficacy and safety of therapeutic inhibition of PCSK9 is lacking. To explore potential long-term effects of PCSK9 inhibition, we characterised the phenotypic consequence of LDL-cholesterol lowering variants at the PCSK9 locus. A PCSK9 gene score comprising 4 SNPs recapitulated the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and risk of myocardial infarction, and was associated with an increased risk of type 2 diabetes. No associations with safety outcomes such as cancer, COPD, Alzheimer’s disease or atrial fibrillation were identified. Our findings suggest PCSK9 inhibition may be safe and effective during prolonged use.
Published: 2019

48. Exome-derived adiponectin-associated variants implicate obesity and lipid biology

Author: Peter Kovacs, Judith B. Borja, Karen L. Mohlke, Jennifer Kriebel, Kent D. Taylor, Stuart MacGregor, Ruth J. F. Loos, Carol A. Wang, Cornelia M. van Duijn, Samuli Ripatti, Ko Willems van Dijk, Jaeyoung Hong, Yingchang Lu, Leslie A. Lange, Terho Lehtimäki, Matthias Blüher, Cassandra N. Spracklen, Michael A. Province, Craig E. Pennell, Laura B. L. Wittemans, Yii-Der Ida Chen, Alex P. Reiner, Nicholas J. Wareham, Massimo Mangino, Kristin L. Young, Tuomas O. Kilpeläinen, David A. Mackey, Michael Preuss, Mika Kähönen, Sara M. Willems, Paraskevi Chirstofidou, Tamara B. Harris, Matthew A. Allison, Michael Boehnke, Jian'an Luan, Cristina Venturini, Kari E. North, Chelsea K. Raulerson, Linda Broer, Paul M. Ridker, Colleen M. Sitlani, Xiuqing Guo, Leo-Pekka Lyytikäinen, Neil Roberston, Pekka Jousilahti, Barbara McKnight, M. Arfan Ikram, Heather M. Highland, Torben Hansen, Niels Grarup, Satu Männistö, James G. Wilson, Konstantin Strauch, Mariaelisa Graff, Ayse Demirkan, Rebecca S. Fine, Tugce Karaderi, Linda S. Adair, Jie Yao, Olli T. Raitakari, Zoltán Kutalik, Jeffrey Haesser, Veikko Salomaa, Sophie Molnos, Rebecca D. Jackson, Renée de Mutsert, Markku Laakso, Mark I. McCarthy, Carolina Medina-Gomez, America A. Sandoval-Zárate, Anke Tönjes, Daniel I. Chasman, Shuai Wang, Michael Stumvoll, Jette Bork-Jensen, Claudia Langenberg, Paul L. Auer, Anubha Mahajan, Claudia Schurmann, Mary F. Feitosa, Melissa E. Garcia, Tim D. Spector, Aruna D. Pradhan, Jorge R. Kizer, Timothy M. Frayling, Ying Wu, James B. Meigs, Andrew P. Morris, Harald Grallert, André G. Uitterlinden, Cecilia M. Lindgren, Traci M. Bartz, Mike A. Nalls, Erik Ingelsson, Jerome I. Rotter, Mark Walker, Ruifang Li-Gao, Ivana Nedeljkovic, Najaf Amin, Hanieh Yaghootkar, Dennis O. Mook-Kanamori, Betina H. Thuesen, Lars Lind, Jin Li, Epidemiology, Internal Medicine, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Samuli Olli Ripatti / Principal Investigator, University Management, Biostatistics Helsinki, University of Helsinki, Institute for Molecular Medicine Finland, Complex Disease Genetics, and Medical and Clinical Psychology
Subjects: Male, 0301 basic medicine, Candidate gene, Adipose tissue, Genome-wide association study, DISEASE, CANDIDATE GENES, 0302 clinical medicine, Cqardio metabolic traits, RARE, Exome, Genetics (clinical), Aged, 80 and over, Genetics, 0303 health sciences, 1184 Genetics, developmental biology, physiology, Hispanic or Latino, Middle Aged, Lipids, Phenotype, ADIPOSE-TISSUE, Adipose Tissue, 030220 oncology & carcinogenesis, Medical genetics, Female, CIRCULATING ADIPONECTIN, Adiponectin, Adult, EXPRESSION, medicine.medical_specialty, Adolescent, Quantitative Trait Loci, 030209 endocrinology & metabolism, Biology, Polymorphism, Single Nucleotide, Article, White People, Young Adult, 03 medical and health sciences, Cardio Metabolic Traits, Genome-wide Association Study, Obesity, SDG 3 - Good Health and Well-being, medicine, GLYCEMIC TRAITS, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Gene, METAANALYSIS, 030304 developmental biology, Aged, PLASMA ADIPONECTIN, Correction, medicine.disease, Human genetics, Black or African American, 030104 developmental biology, Expression quantitative trait loci, 3111 Biomedicine
Abstract: Circulating levels of adiponectin, an adipocyte-secreted protein associated with cardiovascular and metabolic risk, are highly heritable. To gain insights into the biology that regulates adiponectin levels, we performed an exome array meta-analysis of 265,780 genetic variants in 67,739 individuals of European, Hispanic, African American, and East Asian ancestry. We identified 20 loci associated with adiponectin, including 11 that had been reported previously (p -7). Comparison of exome array variants to regional linkage disequilibrium (LD) patterns and prior genome-wide association study (GWAS) results detected candidate variants (r2 > .60) spanning as much as 900 kb. To identify potential genes and mechanisms through which the previously unreported association signals act to affect adiponectin levels, we assessed cross-trait associations, expression quantitative trait loci in subcutaneous adipose, and biological pathways of nearby genes. Eight of the nine loci were also associated (p -4) with at least one obesity or lipid trait. Candidate genes include PRKAR2A, PTH1R, and HDAC9, which have been suggested to play roles in adipocyte differentiation or bone marrow adipose tissue. Taken together, these findings provide further insights into the processes that influence circulating adiponectin levels.
Published: 2019

49. Regional fat depot masses are influenced by protein-coding gene variants

Author: Marijana Todorčević, Laura B. L. Wittemans, Jian'an Luan, K. H. PietilaÌˆinen, Robert A. Scott, Claudia Langenberg, Matt Neville, Fredrik Karpe, Nicholas J. Wareham, Katherine E. Pinnick, Risto Kaksonen, Neville, Matt J [0000-0002-6004-5433], Pinnick, Katherine E [0000-0002-2422-248X], Todorčević, Marijana [0000-0002-3100-8799], Wareham, Nicholas J [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Research Programs Unit, Diabetes and Obesity Research Program, University of Helsinki, HUS Abdominal Center, Department of Medicine, and Endokrinologian yksikkö
Subjects: EXPRESSION, Adult, Male, Human fat, medicine.medical_specialty, Depot, Science, Subcutaneous Fat, Adipose tissue, Locus (genetics), Biology, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Absorptiometry, Photon, Metabolic Diseases, Risk Factors, Internal medicine, medicine, LOCUS, WIDE ASSOCIATION, Body Fat Distribution, Humans, Obesity, Gene, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, IDENTIFICATION, Waist-Hip Ratio, CHOLESTEROL, Anthropometry, QUANTIFICATION, Middle Aged, Minor allele frequency, Endocrinology, Adipose Tissue, Cardiovascular Diseases, 3121 General medicine, internal medicine and other clinical medicine, Body Composition, Medicine, Body mass index, 030217 neurology & neurosurgery
Abstract: With the identification of a large number of genetic loci associated with human fat distribution and its importance for metabolic health, the question arises as to what the genetic drivers for discrete fat depot expansion might be. To date most studies have focussed on conventional anthropometric measures such as waist-to-hip ratio (WHR) adjusted for body mass index. We searched for genetic loci determining discrete fat depots mass size using an exome-wide approach in 3 large cohorts.Here we report an exome-wide analysis of non-synonymous genetic variants in 17,212 participants in which regional fat masses were quantified using dual-energy X-ray absorptiometry. The missense variant CCDC92S70C, previously associated with WHR, is associated specifically with reduced visceral and increased leg fat masses. Allele-specific expression analysis shows that the deleterious minor allele carrying transcript also has a constitutively higher expression. In addition, we identify two variants associated with the transcriptionally distinct fat depot arm fat (SPATA20K422R and UQCC1R51Q). SPATA20K422R, a rare novel locus with a large effect size specific to arm, and UQCC1R51Q, a common variant exome-wide significant in arm but showing similar trends in other subcutaneous fat depots. In terms of the understanding of human fat distribution, these findings suggest distinct regulation of discrete fat depot expansion.Author summaryHuman fat storing tissues are heterogeneous and comprise functionally and structurally distinct regional fat depots, the relative size of which appear to have significant implications for health. Whilst it is known that inter-individual differences in fat distribution have genetic drivers, studies to date have focussed on crude anthropometric approximations of region fat masses rather than precise measures. Here we describe an exome-wide analysis of a large collection of men and women who have undergone body scanning using dual-energy X-ray absorptiometry (DXA) to better define regional fat masses and identify new genetic drivers for human fat distribution. With this approach we identify three gene regions associated with distinct fat depots which can help to explain the variation in fat distribution between people and may lead to a better understanding of the depot specific fat tissue expansion.
Published: 2019

50. Serum magnesium and calcium levels in relation to ischemic stroke Mendelian randomization study

Author: Susanna C. Larsson, Matthew Traylor, Stephen Burgess, Giorgio B. Boncoraglio, Christina Jern, Karl Michaëlsson, Hugh S. Markus, Rainer Malik, Ganesh Chauhan, Muralidharan Sargurupremraj, Yukinori Okada, Aniket Mishra, Loes Rutten-Jacobs, Anne-Katrin Giese, Sander W van der Laan, Solveig Gretarsdottir, Christopher D Anderson, Michael Chong, Hieab HH Adams, Tetsuro Ago, Peter Almgren, Philippe Amouyel, Hakan Ay, raci M Bartz, Oscar R Benavente, Steve Bevan, Giorgio B Boncoraglio, Robert D Brown, Adam S Butterworth, Caty Carrera, Cara L Carty, Daniel I Chasman, Wei-Min Chen, John W Cole, Adolfo Correa, Ioana Cotlarciuc, Carlos Cruchaga, John Danesh, Paul IW de Bakker, Anita L DeStefano, Marcel den Hoed, Qing Duan, Stefan T Engelter, Guido J Falcone, Rebecca F Gottesman, Raji P Grewal, Vilmundur Gudnason, Stefan Gustafsson, Jeffrey Haessler, Tamara B Harris, Ahamad Hassan, Aki S Havulinna, Susan R Heckbert, Elizabeth G Holliday, George Howard, Fang-Chi Hsu, Hyacinth I Hyacinth, M Arfan Ikram, Erik Ingelsson, Marguerite R Irvin, Xueqiu Jian, Jordi Jiménez-Conde, Julie A Johnson, J Wouter Jukema, Masahiro Kanai, Keith L Keene, Brett M Kissela, Dawn O Kleindorfer, Charles Kooperberg, Michiaki Kubo, Leslie A Lange, Carl D Langefeld, Claudia Langenberg, Lenore J Launer, Jin-Moo Lee, Robin Lemmens, Didier Leys, Cathryn M Lewis, Wei-Yu Lin, Arne G Lindgren, Erik Lorentzen, Patrik K Magnusson, Jane Maguire, Ani Manichaikul, Patrick F McArdle, James F Meschia, Braxton D Mitchell, Thomas H Mosley, Michael A Nalls, Toshiharu Ninomiya, Martin J O'Donnell, Bruce M Psaty, Sara L Pulit, Kristiina Rannikmäe, Alexander P Reiner, Kathryn M Rexrode, Kenneth Rice, Stephen S Rich, Paul M Ridker, Natalia S Rost, Peter M Rothwell, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Saori Sakaue, Michele M Sale, Veikko Salomaa, Bishwa R Sapkota, Reinhold Schmidt, Carsten O Schmidt, Ulf Schminke, Pankaj Sharma, Agnieszka Slowik, Cathie LM Sudlow, Christian Tanislav, Turgut Tatlisumak, Kent D Taylor, Vincent NS Thijs, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Steffen Tiedt, Stella Trompet, Christophe Tzourio, Cornelia M van Duijn, Matthew Walters, Nicholas J Wareham, Sylvia Wassertheil-Smoller, James G Wilson, Kerri L Wiggins, Qiong Yang, Salim Yusuf, Najaf Amin, Hugo S Aparicio, Donna K Arnett, John Attia, Alexa S Beiser, Claudine Berr, Julie E Buring, Mariana Bustamante, Valeria Caso, Yu-Ching Cheng, Seung Hoan Choi, Ayesha Chowhan, Natalia Cullell, Jean-François Dartigues, Hossein Delavaran, Pilar Delgado, Marcus Dörr, Gunnar Engström, Ian Ford, Wander S Gurpreet, Anders Hamsten, Laura Heitsch, Atsushi Hozawa, Laura Ibanez, Andreea Ilinca, Martin Ingelsson, Motoki Iwasaki, Rebecca D Jackson, Katarina Jood, Pekka Jousilahti, Sara Kaffashian, Lalit Kalra, Masahiro Kamouchi, Takanari Kitazono, Olafur Kjartansson, Manja Kloss, Peter J Koudstaal, Jerzy Krupinski, Daniel L Labovitz, Cathy C Laurie, Christopher R Levi, Linxin Li, Lars Lind, Cecilia M Lindgren, Vasileios Lioutas, Yong Mei Liu, Oscar L Lopez, Hirata Makoto, Nicolas Martinez-Majander, Koichi Matsuda, Naoko Minegishi, Joan Montaner, Andrew P Morris, Elena Muiño, Martina Müller-Nurasyid, Bo Norrving, Soichi Ogishima, Eugenio A Parati, Leema Reddy Peddareddygari, Nancy L Pedersen, Joanna Pera, Markus Perola, Alessandro Pezzini, Silvana Pileggi, Raquel Rabionet, Iolanda Riba-Llena, Marta Ribasés, Jose R Romero, Jaume Roquer, Anthony G Rudd, Antti-Pekka Sarin, Ralhan Sarju, Chloe Sarnowski, Makoto Sasaki, Claudia L Satizabal, Mamoru Satoh, Naveed Sattar, Norie Sawada, Gerli Sibolt, Ásgeir Sigurdsson, Albert Smith, Kenji Sobue, Carolina Soriano-Tárraga, Tara Stanne, O Colin Stine, David J Stott, Konstantin Strauch, Takako Takai, Hideo Tanaka, Kozo Tanno, Alexander Teumer, Liisa Tomppo, Nuria P Torres-Aguila, Emmanuel Touze, Shoichiro Tsugane, Andre G Uitterlinden, Einar M Valdimarsson, Sven J van der Lee, Henry Völzke, Kenji Wakai, David Weir, Stephen R Williams, Charles DA Wolfe, Quenna Wong, Huichun Xu, Taiki Yamaji, Dharambir K Sanghera, Olle Melander, Daniel Strbian, Israel Fernandez-Cadenas, W T Longstreth, Arndt Rolfs, Jun Hata, Daniel Woo, Jonathan Rosand, Guillaume Pare, Jemma C Hopewell, Danish Saleheen, Kari Stefansson, Bradford B Worrall, Steven J Kittner, Sudha Seshadri, Myriam Fornage, Hugh S Markus, Joanna MM Howson, Yoichiro Kamatani, Stephanie Debette, Martin Dichgans, Berr, Claudine, Unit of Cardiovascular and Nutritional Epidemiology [Stockholm, Sweden], Karolinska Institutet [Stockholm]-Institute of Environmental Medicine [Stockholm, Sweden], Stroke Research Group [London, UK] (Department of Brain Repair and Rehabilitation), University of London - UCL [London, UK], MRC Biostatistics Unit [Cambridge, UK], University of Cambridge [UK] (CAM), Department of Public Health and Primary Care [Cambridge, UK] (Institute of Public Health), Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Section of Clinical Immunology [Uppsala, Sweden] (Department of Immunology, Genetics and Pathology), Uppsala University, Department of Surgical Sciences [Uppsala, Sweden], This work was supported by the Swedish Research Council for Health, Working Life and Welfare (Forte) and the Swedish Research Council. Hugh Markus is supported by an NIHR Senior Investigator award. His and Matthew Traylor’s work is supported by infrastructural support from the Cambridge University Hospitals Trust NIHR Biomedical Research Centre., MEGASTROKE project of the International Stroke Genetics Consortium : Malik R, Chauhan G, Traylor M, Sargurupremraj M, Okada Y, Mishra A, Rutten-Jacobs L, Giese AK, van der Laan SW, Gretarsdottir S, Anderson CD, Chong M, Adams HH, Ago T, Almgren P, Amouyel P, Ay H, Bartz RM, Benavente OR, Bevan S, Boncoraglio GB, Brown RD Jr, Butterworth AS, Carrera C, Carty CL, Chasman DI, Chen WM, Cole JW, Correa A, Cotlarciuc I, Cruchaga C, Danesh J, de Bakker PI, DeStefano AL, Hoed MD, Duan Q, Engelter ST, Falcone GJ, Gottesman RF, Grewal RP, Gudnason V, Gustafsson S, Haessler J, Harris TB, Hassan A, Havulinna AS, Heckbert SR, Holliday EG, Howard G, Hsu FC, Hyacinth HI, Ikram MA, Ingelsson E, Irvin MR, Jian X, Jiménez-Conde J, Johnson JA, Jukema JW, Kanai M, Keene KL, Kissela BM, Kleindorfer DO, Kooperberg C, Kubo M, Lange LA, Langefeld CD, Langenberg C, Launer LJ, Lee JM, Lemmens R, Leys D, Lewis CM, Lin WY, Lindgren AG, Lorentzen E, Magnusson PK, Maguire J, Manichaikul A, McArdle PF, Meschia JF, Mitchell BD, Mosley TH, Nalls MA, Ninomiya T, O'Donnell MJ, Psaty BM, Pulit SL, Rannikmäe K, Reiner AP, Rexrode KM, Rice K, Rich SS, Ridker PM, Rost NS, Rothwell PM, Rotter JI, Rundek T, Sacco RL, Sakaue S, Sale MM, Salomaa V, Sapkota BR, Schmidt R, Schmidt CO, Schminke U, Sharma P, Slowik A, Sudlow CL, Tanislav C, Tatlisumak T, Taylor KD, Thijs VN, Thorleifsson G, Thorsteinsdottir U, Tiedt S, Trompet S, Tzourio C, van Duijn CM, Walters M, Wareham NJ, Wassertheil-Smoller S, Wilson JG, Wiggins KL, Yang Q, Yusuf S, Amin N, Aparicio HS, Arnett DK, Attia J, Beiser AS, Berr C, Buring JE, Bustamante M, Caso V, Cheng YC, Choi SH, Chowhan A, Cullell N, Dartigues JF, Delavaran H, Delgado P, Dörr M, Engström G, Ford I, Gurpreet WS, Hamsten A, Heitsch L, Hozawa A, Ibanez L, Ilinca A, Ingelsson M, Iwasaki M, Jackson RD, Jood K, Jousilahti P, Kaffashian S, Kalra L, Kamouchi M, Kitazono T, Kjartansson O, Kloss M, Koudstaal PJ, Krupinski J, Labovitz DL, Laurie CC, Levi CR, Li L, Lind L, Lindgren CM, Lioutas V, Liu YM, Lopez OL, Makoto H, Martinez-Majander N, Matsuda K, Minegishi N, Montaner J, Morris AP, Muiño E, Müller-Nurasyid M, Norrving B, Ogishima S, Parati EA, Peddareddygari LR, Pedersen NL, Pera J, Perola M, Pezzini A, Pileggi S, Rabionet R, Riba-Llena I, Ribasés M, Romero JR, Roquer J, Rudd AG, Sarin AP, Sarju R, Sarnowski C, Sasaki M, Satizabal CL, Satoh M, Sattar N, Sawada N, Sibolt G, Sigurdsson Á, Smith A, Sobue K, Soriano-Tárraga C, Stanne T, Stine OC, Stott DJ, Strauch K, Takai T, Tanaka H, Tanno K, Teumer A, Tomppo L, Torres-Aguila NP, Touze E, Tsugane S, Uitterlinden AG, Valdimarsson EM, van der Lee SJ, Völzke H, Wakai K, Weir D, Williams SR, Wolfe CD, Wong Q, Xu H, Yamaji T, Sanghera DK, Melander O, Jern C, Strbian D, Fernandez-Cadenas I, Longstreth WT Jr, Rolfs A, Hata J, Woo D, Rosand J, Pare G, Hopewell JC, Saleheen D, Stefansson K, Worrall BB, Kittner SJ, Seshadri S, Fornage M, Markus HS, Howson JM, Kamatani Y, Debette S, Dichgans M., Larsson, Susanna C [0000-0003-0118-0341], Apollo - University of Cambridge Repository, and Neurology
Subjects: medicine.medical_specialty, Neurology, Heredity, Neurologi, [SDV]Life Sciences [q-bio], chemistry.chemical_element, Calcium, Polymorphism, Single Nucleotide, Gastroenterology, Article, Brain Ischemia, Brain ischemia, 03 medical and health sciences, 0302 clinical medicine, Human genetics, Internal medicine, Mendelian randomization, Medicine, Humans, Magnesium, 030212 general & internal medicine, Stroke, Herència (Biologia), Genètica humana, business.industry, Neurosciences, Mendelian Randomization Analysis, Odds ratio, medicine.disease, Confidence interval, 3. Good health, [SDV] Life Sciences [q-bio], Intracranial Embolism, chemistry, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), business, 030217 neurology & neurosurgery, Neurovetenskaper
Abstract: Comment inThe yin and yang of magnesium and calcium: New genetic insights for stroke? [Neurology. 2019]; International audience; Objective To determine whether serum magnesium and calcium concentrations are causally associated with ischemic stroke or any of its subtypes using the mendelian randomization approach. Methods Analyses were conducted using summary statistics data for 13 single-nucleotide polymorphisms robustly associated with serum magnesium (n = 6) or serum calcium (n = 7) concentrations. The corresponding data for ischemic stroke were obtained from the MEGASTROKE consortium (34,217 cases and 404,630 noncases). Results In standard mendelian randomization analysis, the odds ratios for each 0.1 mmol/L (about 1 SD) increase in genetically predicted serum magnesium concentrations were 0.78 (95% confidence interval [CI] 0.69-0.89; p = 1.3 × 10 −4) for all ischemic stroke, 0.63 (95% CI 0.50-0.80; p = 1.6 × 10 −4) for cardioembolic stroke, and 0.60 (95% CI 0.44-0.82; p = 0.001) for large artery stroke; there was no association with small vessel stroke (odds ratio 0.90, 95% CI 0.67-1.20; p = 0.46). Only the association with cardioembolic stroke was robust in sensitivity analyses. There was no association of genetically predicted serum calcium concentrations with all ischemic stroke (per 0.5 mg/dL [about 1 SD] increase in serum calcium: odds ratio 1.03, 95% CI 0.88-1.21) or with any subtype. Conclusions This study found that genetically higher serum magnesium concentrations are associated with a reduced risk of cardioembolic stroke but found no significant association of genetically higher serum calcium concentrations with any ischemic stroke subtype.
Published: 2019

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Journal

Database

Publisher

165 results on '"Claudia Langenberg"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources