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Genome-wide association study of cardiac troponin I in the general population.
Moksnes, Marta R; Røsjø, Helge; Richmond, Anne; Lyngbakken, Magnus N; Graham, Sarah E; Hansen, Ailin Falkmo; Wolford, Brooke N; Gagliano Taliun, Sarah A; LeFaive, Jonathon; Rasheed, Humaira; Thomas, Laurent F; Zhou, Wei; Aung, Nay; Surakka, Ida; Douville, Nicholas J; Campbell, Archie; Porteous, David J; Petersen, Steffen E; Munroe, Patricia B; Welsh, Paul; Sattar, Naveed; Smith, George Davey; Fritsche, Lars G; Nielsen, Jonas B; Åsvold, Bjørn Olav; Hveem, Kristian; Hayward, Caroline; Willer, Cristen J; Brumpton, Ben M; Omland, Torbjørn.
Afiliação
  • Moksnes MR; Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Røsjø H; Division of Research and Innovation, Akershus University Hospital, 1478 Lørenskog, Norway.
  • Richmond A; Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, 0316 Oslo, Norway.
  • Lyngbakken MN; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Graham SE; Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, 0316 Oslo, Norway.
  • Hansen AF; Division of Medicine, Department of Cardiology, Akershus University Hospital, 1478 Lørenskog, Norway.
  • Wolford BN; Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
  • Gagliano Taliun SA; Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • LeFaive J; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Rasheed H; Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.
  • Thomas LF; Montréal Heart Institute, Montréal, QC H1T 1C8, Canada.
  • Zhou W; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Aung N; Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Surakka I; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Douville NJ; Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Campbell A; Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Porteous DJ; MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
  • Petersen SE; Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Munroe PB; Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Welsh P; BioCore - Bioinformatics Core Facility, NTNU - Norwegian University of Science and Technology, 7491 Trondheim. Norway.
  • Sattar N; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, 7491 Trondheim, Norway.
  • Smith GD; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Fritsche LG; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Nielsen JB; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
  • Åsvold BO; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
  • Hveem K; William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
  • Hayward C; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London E1 4NS, UK.
  • Willer CJ; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London EC1A 7BE, UK.
  • Brumpton BM; Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
  • Omland T; Department of Anesthesiology, University of Michigan, Ann Arbor, MI 48109, USA.
Hum Mol Genet ; 30(21): 2027-2039, 2021 10 13.
Article em En | MEDLINE | ID: mdl-33961016
ABSTRACT
Circulating cardiac troponin proteins are associated with structural heart disease and predict incident cardiovascular disease in the general population. However, the genetic contribution to cardiac troponin I (cTnI) concentrations and its causal effect on cardiovascular phenotypes are unclear. We combine data from two large population-based studies, the Trøndelag Health Study and the Generation Scotland Scottish Family Health Study, and perform a genome-wide association study of high-sensitivity cTnI concentrations with 48 115 individuals. We further use two-sample Mendelian randomization to investigate the causal effects of circulating cTnI on acute myocardial infarction (AMI) and heart failure (HF). We identified 12 genetic loci (8 novel) associated with cTnI concentrations. Associated protein-altering variants highlighted putative functional genes CAND2, HABP2, ANO5, APOH, FHOD3, TNFAIP2, KLKB1 and LMAN1. Phenome-wide association tests in 1688 phecodes and 83 continuous traits in UK Biobank showed associations between a genetic risk score for cTnI and cardiac arrhythmias, metabolic and anthropometric measures. Using two-sample Mendelian randomization, we confirmed the non-causal role of cTnI in AMI (5948 cases, 355 246 controls). We found indications for a causal role of cTnI in HF (47 309 cases and 930 014 controls), but this was not supported by secondary analyses using left ventricular mass as outcome (18 257 individuals). Our findings clarify the biology underlying the heritable contribution to circulating cTnI and support cTnI as a non-causal biomarker for AMI in the general population. Using genetically informed methods for causal inference helps inform the role and value of measuring cTnI in the general population.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Troponina I / Estudo de Associação Genômica Ampla / Genética Populacional Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Troponina I / Estudo de Associação Genômica Ampla / Genética Populacional Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article