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Kukendrarajah K, Farmaki AE, Lambiase PD, Schilling R, Finan C, Floriaan Schmidt A, Providencia R. Advancing drug development for atrial fibrillation by prioritising findings from human genetic association studies. EBioMedicine 2024; 105:105194. [PMID: 38941956 DOI: 10.1016/j.ebiom.2024.105194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 05/14/2024] [Accepted: 05/28/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Drug development for atrial fibrillation (AF) has failed to yield new approved compounds. We sought to identify and prioritise potential druggable targets with support from human genetics, by integrating the available evidence with bioinformatics sources relevant for AF drug development. METHODS Genetic hits for AF and related traits were identified through structured search of MEDLINE. Genes derived from each paper were cross-referenced with the OpenTargets platform for drug interactions. Confirmation/validation was demonstrated through structured searches and review of evidence on MEDLINE and ClinialTrials.gov for each drug and its association with AF. FINDINGS 613 unique drugs were identified, with 21 already included in AF Guidelines. Cardiovascular drugs from classes not currently used for AF (e.g. ranolazine and carperitide) and anti-inflammatory drugs (e.g. dexamethasone and mehylprednisolone) had evidence of potential benefit. Further targets were considered druggable but remain open for drug development. INTERPRETATION Our systematic approach, combining evidence from different bioinformatics platforms, identified drug repurposing opportunities and druggable targets for AF. FUNDING KK is supported by Barts Charity grant G-002089 and is mentored on the AFGen 2023-24 Fellowship funded by the AFGen NIH/NHLBI grant R01HL092577. RP is supported by the UCL BHF Research Accelerator AA/18/6/34223 and NIHR grant NIHR129463. AFS is supported by the BHF grants PG/18/5033837, PG/22/10989 and UCL BHF Accelerator AA/18/6/34223 as well as the UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee EP/Z000211/1 and by the UKRI-NIHR grant MR/V033867/1 for the Multimorbidity Mechanism and Therapeutics Research Collaboration. AF is supported by UCL BHF Accelerator AA/18/6/34223. CF is supported by UCL BHF Accelerator AA/18/6/34223.
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Affiliation(s)
- Kishore Kukendrarajah
- Institute of Health Informatics, University College London, 222 Euston Road, NW1 2DA, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, EC1A 7BE, United Kingdom.
| | - Aliki-Eleni Farmaki
- Institute of Health Informatics, University College London, 222 Euston Road, NW1 2DA, United Kingdom
| | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, EC1A 7BE, United Kingdom; Institute of Cardiovascular Science, University College London, Gower Street, WC1E 6HX, United Kingdom
| | - Richard Schilling
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, EC1A 7BE, United Kingdom
| | - Chris Finan
- Institute of Cardiovascular Science, University College London, Gower Street, WC1E 6HX, United Kingdom; UCL British Heart Foundation Research Accelerator, United Kingdom; Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Amand Floriaan Schmidt
- Institute of Cardiovascular Science, University College London, Gower Street, WC1E 6HX, United Kingdom; UCL British Heart Foundation Research Accelerator, United Kingdom; Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, the Netherlands; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centres, University of Amsterdam, the Netherlands
| | - Rui Providencia
- Institute of Health Informatics, University College London, 222 Euston Road, NW1 2DA, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, EC1A 7BE, United Kingdom
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Tzeis S, Gerstenfeld EP, Kalman J, Saad E, Shamloo AS, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O'Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. J Interv Card Electrophysiol 2024:10.1007/s10840-024-01771-5. [PMID: 38609733 DOI: 10.1007/s10840-024-01771-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society (HRS), the Asia Pacific HRS, and the Latin American HRS.
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Affiliation(s)
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil
- Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France
- Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Nikolaos Dagres
- Department of Cardiac Electrophysiology, Charité University Berlin, Berlin, Germany
| | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Cardiology, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | - Gerhard Hindricks
- Department of Cardiac Electrophysiology, Charité University Berlin, Berlin, Germany
| | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Universitair Ziekenhuis Brussel-Vrije Universiteit Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain
- Hospital Viamed Santa Elena, Madrid, Spain
| | - Gregory F Michaud
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX, USA
- Case Western Reserve University, Cleveland, OH, USA
- Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA
- Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología 'Ignacio Chávez', Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O'Neill
- Cardiovascular Directorate, St. Thomas' Hospital and King's College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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Tzeis S, Gerstenfeld EP, Kalman J, Saad EB, Shamloo AS, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O'Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. Heart Rhythm 2024:S1547-5271(24)00261-3. [PMID: 38597857 DOI: 10.1016/j.hrthm.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society.
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Affiliation(s)
- Stylianos Tzeis
- Department of Cardiology, Mitera Hospital, 6, Erythrou Stavrou Str., Marousi, Athens, PC 151 23, Greece.
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo B Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil; Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France; Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, and Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Medicine, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | | | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain; Hospital Viamed Santa Elena, Madrid, Spain
| | | | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX, USA; Case Western Reserve University, Cleveland, OH, USA; Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA; Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología 'Ignacio Chávez', Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O'Neill
- Cardiovascular Directorate, St. Thomas' Hospital and King's College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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Singh S, Baars DP, Aggarwal K, Desai R, Singh D, Pinto-Sietsma SJ. Association between lipoprotein (a) and risk of heart failure: A systematic review and meta-analysis of Mendelian randomization studies. Curr Probl Cardiol 2024; 49:102439. [PMID: 38301917 DOI: 10.1016/j.cpcardiol.2024.102439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Rising incidence of heart failure (HF) in the Western world despite advanced clinical care necessitate exploration of further preventive tools and strategies. Lipoprotein(a) [Lp(a)], recognized as one of the major cardiovascular risk factors has also been implicated as a risk factor for HF. However, existing evidence remains inconclusive and that has led us to perform this meta-analysis. METHODS PubMed/Medline, EMBASE and Scopus were systematically searched for studies evaluating an association of Lp(a) with occurrence of HF from inception-till November 2023. Random effects models and I2 statistics were used for pooled odds ratio (OR) and heterogeneity assessment. We performed leave one out sensitivity analyses by sequentially removing one study at a time and recalculating the pooled effect size. RESULT Our search rendered in total 360 studies and after final screening this resulted in 7 Mendelian randomization (MR) design. According to the MR analysis, increasing Lp(a) level were significantly associated with increased risk of HF (OR 1.064, 95 % CI: 1.043-1.086, I2= 97.59 %, P < 0.001). In addition, Leave-one-out sensitivity analysis showed that the effect size did not change substantially by removal of any particular study in MR studies and ORs ranged from 1.051 (when excluding Levin) to a maximum of 1.111 (when excluding Wang or Jiang), hereby confirming the association. CONCLUSION We were able to show that by meta-analysis of MR data, increasing lipoprotein (a) levels are associated with an increased risk of HF. Whether this is due to a direct effect on heart muscle contraction or whether this is due to an increased risk of ischemic cardiac disease remains to be elucidated.
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Affiliation(s)
- Sandeep Singh
- Departments of Clinical Epidemiology, Biostatistics and Bio-informatics, Amsterdam UMC, location AMC, Amsterdam, The Netherlands; Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | - Daniël P Baars
- Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | | | - Rupak Desai
- Independent Researcher, Atlanta, Georgia, United States
| | - Dyutima Singh
- Department of Cardiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Sara-Joan Pinto-Sietsma
- Departments of Clinical Epidemiology, Biostatistics and Bio-informatics, Amsterdam UMC, location AMC, Amsterdam, The Netherlands; Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
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Tubeeckx MRL, De Keulenaer GW, Heidbuchel H, Segers VFM. Pathophysiology and clinical relevance of atrial myopathy. Basic Res Cardiol 2024; 119:215-242. [PMID: 38472506 DOI: 10.1007/s00395-024-01038-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
Atrial myopathy is a condition that consists of electrical, structural, contractile, and autonomic remodeling of the atria and is the substrate for development of atrial fibrillation, the most common arrhythmia. Pathophysiologic mechanisms driving atrial myopathy are inflammation, oxidative stress, atrial stretch, and neurohormonal signals, e.g., angiotensin-II and aldosterone. These mechanisms initiate the structural and functional remodeling of the atrial myocardium. Novel therapeutic strategies are being developed that target the pathophysiologic mechanisms of atrial myopathy. In this review, we will discuss the pathophysiology of atrial myopathy, as well as diagnostic and therapeutic strategies.
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Affiliation(s)
- Michiel R L Tubeeckx
- Laboratory of Physiopharmacology, Universiteitsplein 1, Building T (2nd Floor), 2610, Antwerp, Belgium.
| | - Gilles W De Keulenaer
- Laboratory of Physiopharmacology, Universiteitsplein 1, Building T (2nd Floor), 2610, Antwerp, Belgium
- Department of Cardiology, ZNA Middelheim Hospital Antwerp, Antwerp, Belgium
| | - Hein Heidbuchel
- Research Group Cardiovascular Diseases, GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Vincent F M Segers
- Laboratory of Physiopharmacology, Universiteitsplein 1, Building T (2nd Floor), 2610, Antwerp, Belgium
- Department of Cardiology, University Hospital Antwerp, Antwerp, Belgium
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6
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Tzeis S, Gerstenfeld EP, Kalman J, Saad EB, Sepehri Shamloo A, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O’Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. Europace 2024; 26:euae043. [PMID: 38587017 PMCID: PMC11000153 DOI: 10.1093/europace/euae043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 04/09/2024] Open
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society .
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Affiliation(s)
- Stylianos Tzeis
- Department of Cardiology, Mitera Hospital, 6, Erythrou Stavrou Str., Marousi, Athens, PC 151 23, Greece
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo B Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil
- Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France
- Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, and Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Medicine, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | | | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain
- Hospital Viamed Santa Elena, Madrid, Spain
| | | | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David’s Medical Center, Austin, TX, USA
- Case Western Reserve University, Cleveland, OH, USA
- Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA
- Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología ‘Ignacio Chávez’, Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O’Neill
- Cardiovascular Directorate, St. Thomas’ Hospital and King’s College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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7
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Taniguchi J, Masuda T, Iwatani Y, Yamamoto K, Sakai N, Okada Y, Watanabe M. Rigorous evaluation of genetic and epigenetic effects on clinical laboratory measurements using Japanese monozygotic twins. Clin Genet 2024; 105:159-172. [PMID: 37899590 DOI: 10.1111/cge.14443] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/10/2023] [Accepted: 10/09/2023] [Indexed: 10/31/2023]
Abstract
The investigation of environmental effects on clinical measurements using individual samples is challenging because their genetic and environmental factors are different. However, using monozygotic twins (MZ) makes it possible to investigate the influence of environmental factors as they have the same genetic factors within pairs because the difference in the clinical traits within the MZ mostly reflect the influence of environmental factors. We hypothesized that the within-pair differences in the traits that are strongly affected by genetic factors become larger after genetic risk score (GRS) correction. Using 278 Japanese MZ pairs, we compared the change in within-pair differences in each of the 45 normalized clinical measurements before and after GRS correction, and we also attempted to correct for the effects of genetic factors to identify Cytosine-phosphodiester-Guanine (CpG) sites in DNA sequences with epigenetic effects that are regulated by genetic factors. Five traits were classified into the high heritability group, which was strongly affected by genetic factors. CpG sites could be classified into three groups: regulated only by environmental factors, regulated by environmental factors masked by genetic factors, and regulated only by genetic factors. Our method has the potential to identify trait-related methylation sites that have not yet been discovered.
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Affiliation(s)
- Jumpei Taniguchi
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University Graduate School of Medicine, Suita, Japan
| | - Tatsuo Masuda
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yoshinori Iwatani
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Norio Sakai
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
- Child Healthcare and Genetic Science Laboratory, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mikio Watanabe
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
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Joglar JA, Chung MK, Armbruster AL, Benjamin EJ, Chyou JY, Cronin EM, Deswal A, Eckhardt LL, Goldberger ZD, Gopinathannair R, Gorenek B, Hess PL, Hlatky M, Hogan G, Ibeh C, Indik JH, Kido K, Kusumoto F, Link MS, Linta KT, Marcus GM, McCarthy PM, Patel N, Patton KK, Perez MV, Piccini JP, Russo AM, Sanders P, Streur MM, Thomas KL, Times S, Tisdale JE, Valente AM, Van Wagoner DR. 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2024; 149:e1-e156. [PMID: 38033089 PMCID: PMC11095842 DOI: 10.1161/cir.0000000000001193] [Citation(s) in RCA: 156] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
AIM The "2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation" provides recommendations to guide clinicians in the treatment of patients with atrial fibrillation. METHODS A comprehensive literature search was conducted from May 12, 2022, to November 3, 2022, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. Additional relevant studies, published through November 2022, during the guideline writing process, were also considered by the writing committee and added to the evidence tables, where appropriate. STRUCTURE Atrial fibrillation is the most sustained common arrhythmia, and its incidence and prevalence are increasing in the United States and globally. Recommendations from the "2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" and the "2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing atrial fibrillation and thromboembolic risk assessment, anticoagulation, left atrial appendage occlusion, atrial fibrillation catheter or surgical ablation, and risk factor modification and atrial fibrillation prevention have been developed.
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Affiliation(s)
| | | | | | | | | | | | - Anita Deswal
- ACC/AHA Joint Committee on Clinical Practice Guidelines liaison
| | | | | | | | | | - Paul L Hess
- ACC/AHA Joint Committee on Performance Measures liaison
| | | | | | | | | | - Kazuhiko Kido
- American College of Clinical Pharmacy representative
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9
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Joglar JA, Chung MK, Armbruster AL, Benjamin EJ, Chyou JY, Cronin EM, Deswal A, Eckhardt LL, Goldberger ZD, Gopinathannair R, Gorenek B, Hess PL, Hlatky M, Hogan G, Ibeh C, Indik JH, Kido K, Kusumoto F, Link MS, Linta KT, Marcus GM, McCarthy PM, Patel N, Patton KK, Perez MV, Piccini JP, Russo AM, Sanders P, Streur MM, Thomas KL, Times S, Tisdale JE, Valente AM, Van Wagoner DR. 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2024; 83:109-279. [PMID: 38043043 PMCID: PMC11104284 DOI: 10.1016/j.jacc.2023.08.017] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2023]
Abstract
AIM The "2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Patients With Atrial Fibrillation" provides recommendations to guide clinicians in the treatment of patients with atrial fibrillation. METHODS A comprehensive literature search was conducted from May 12, 2022, to November 3, 2022, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. Additional relevant studies, published through November 2022, during the guideline writing process, were also considered by the writing committee and added to the evidence tables, where appropriate. STRUCTURE Atrial fibrillation is the most sustained common arrhythmia, and its incidence and prevalence are increasing in the United States and globally. Recommendations from the "2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" and the "2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing atrial fibrillation and thromboembolic risk assessment, anticoagulation, left atrial appendage occlusion, atrial fibrillation catheter or surgical ablation, and risk factor modification and atrial fibrillation prevention have been developed.
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10
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Singh S, Baars DP, Desai R, Singh D, Pinto-Sietsma SJ. Association Between Lipoprotein (a) and Risk of Atrial Fibrillation: A Systematic Review and Meta-analysis of Mendelian Randomization Studies. Curr Probl Cardiol 2024; 49:102024. [PMID: 37553064 DOI: 10.1016/j.cpcardiol.2023.102024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/10/2023]
Abstract
Lipoprotein (a) (Lp[a]) is an established risk factor for atherosclerotic cardiovascular disease (ASCVD). However, data on association of Lp(a) with risk of atrial fibrillation (AF) is still limited. We searched PubMed/Medline, Scopus, and EMBASE for studies evaluating the association of Lp(a) with the occurrence of AF until July 2023. Random effects models and I2 statistics were used for pooled odds ratios (OR), and heterogeneity assessments. A subgroup analysis was performed based on the cohort population, and a one-out sensitivity analysis was performed. This meta-analysis comprised 275,647 AF cases and 2,100,172 Lp(a) participants. An increase in Lp(a) was associated with an increased risk of AF in mendelian randomization (MR) studies (OR 1.024, 95% CI: 1.007-1.042, I2 = 87.72%, P < 0.001). Leave-one-out sensitivity analysis confirmed equivalent results in MR studies. Subgroup analysis of MR studies revealed a higher risk of AF in the European cohort (OR 1.023, 95% CI: 1.007-1.040, I2 = 89.05%, P < 0.001) and a low risk (OR 0.940, 95% CI: 0.893-0.990) in the Chinese population. Meta-analysis of the MR data suggested higher levels of Lp(a) were associated with increased risk of AF. Future robust prospective studies are warranted to validate these findings.
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Affiliation(s)
- Sandeep Singh
- Departments of Clinical Epidemiology, Biostatistics and Bio-informatics, Amsterdam UMC, location AMC, Amsterdam, The Netherlands; Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | - Daniël P Baars
- Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | | | - Dyutima Singh
- Department of Cardiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Sara-Joan Pinto-Sietsma
- Departments of Clinical Epidemiology, Biostatistics and Bio-informatics, Amsterdam UMC, location AMC, Amsterdam, The Netherlands; Department of Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
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Ebana Y, Liu L, Ihara K, Abe K, Terao C, Kamatani Y, Sasano T, Furukawa T. Genetic risk score of cerebral infarction in atrial fibrillation genome-wide association study. Eur J Clin Invest 2023; 53:e14084. [PMID: 37638535 DOI: 10.1111/eci.14084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION Stroke is a leading cause of death and the primary cause of adult-acquired disability. Patients with cardiogenic embolic stroke also have higher mortality and recurrence rates than patients with other stroke subtypes. Atrial fibrillation (AF) is a major risk factor for cerebral infarction (CI). The large-scale study identified 32 loci in the MEGASTROKE study. However, few studies have attempted to identify novel stroke risk variants in patients with a history of AF. Our overall aim was to identify novel CI risk variants in AF cases and explore whether their associations with the CI risk were affected by the CHADS2 and CHA2DS2-VASc scores. METHODS We performed association study with CI using 8181 AF cases in previous genome-wide association study (GWAS) and imputation data without controls. We classified AF cases into those with or without past history of CI, and the genetic associations with the CI risk were examined. RESULTS GWAS identified eight associated loci. The generated genetic risk score (GRS) for the eight loci was significantly associated with CI in patients with AF (1.46 × 10-8 ). We estimated bivariate logistic regression model which contained GRS and CHADS2 score (GRS: p-Value = 7.41 × 10-9 , CHADS2 score: p-Value <2.0 × 10-16 ) or CHA2DS2-VASc scores (GRS: p-Value = 2.52 × 10-10 , CHA2DS2-VASc score: p-Value <2.0 × 10-16 ). CONCLUSION We identified eight genetic variants that were potentially associated with the risk of CI of AF cases and the significant GRS, whose associations were independent of the CHADS2 or CHA2DS2-VASc score.
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Affiliation(s)
- Yusuke Ebana
- Life Science and Bioethics Research Center, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Lian Liu
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Kensuke Ihara
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Keiko Abe
- Anesthesiology and Clinical Physiology, Department of Oral Restitution, Division of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tetsuo Sasano
- Department of Cardiovascular Medicine, Graduate School of Medicine, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Tetsushi Furukawa
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
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12
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Ciofani JL, Han D, Allahwala UK, Woolf B, Gill D, Bhindi R. Lipids, Blood Pressure, and Diabetes Mellitus on Risk of Cardiovascular Diseases in East Asians: A Mendelian Randomization Study. Am J Cardiol 2023; 205:329-337. [PMID: 37633070 PMCID: PMC7615095 DOI: 10.1016/j.amjcard.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023]
Abstract
Elevated blood pressure, dyslipidemia, and impaired glycemic control are well-established cardiovascular risk factors in Europeans, but there are comparatively few studies focused on East Asian populations. This study evaluated the potential causal relations between traditional cardiovascular risk factors and disease risk in East Asians through a 2-sample Mendelian randomization approach. We collected summary statistics for blood pressure parameters, lipid subsets, and type 2 diabetes mellitus liability from large genome-wide association study meta-analyses conducted in East Asians and Europeans. These were paired with summary statistics for ischemic heart disease (IHD), ischemic stroke (IS), peripheral vascular disease, heart failure (HF) and atrial fibrillation (AF). We performed univariable Mendelian randomization analyses for each exposure-outcome pair, followed by multivariable analyses for the available lipid subsets. The genetically predicted risk factors associated with IHD and AF were similar between East Asians and Europeans. However, in East Asians only genetically predicted elevated blood pressure was significantly associated with IS (odds ratio 1.05, 95% confidence interval 1.04 to 1.06, p <0.0001) and HF (odds ratio 1.05, 95% confidence interval 1.04 to 1.06, p <0.0001), whereas nearly all genetically predicted risk factors were significantly associated with IS and HF in Europeans. In conclusion, this study provides supportive evidence for similar causal relations between traditional cardiovascular risk factors and IHD and AF in both East Asian and European ancestry populations. However, the identified risk factors for IS and HF differed between East Asians and Europeans, potentially highlighting distinct disease etiologies between these populations.
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Affiliation(s)
- Jonathan L Ciofani
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Cardiology, Royal North Shore Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
| | - Daniel Han
- Medical Research Council Laboratory of Molecular Biology, Cambridge, United Kingdom; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom; School of Mathematics and Statistics, University of New South Wales, Sydney, New South Wales, Australia
| | - Usaid K Allahwala
- Department of Cardiology, Royal North Shore Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Benjamin Woolf
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; School of Psychological Science, University of Bristol, Bristol, United Kingdom; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Chief Scientific Advisor Office, Novo Nordisk, Copenhagen, Denmark
| | - Ravinay Bhindi
- Department of Cardiology, Royal North Shore Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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13
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Jiang Y, Ping J, Lu H, Zhang H, Liu M, Li Y, Zhou G. Associations between high-altitude adaptation and risk of cardiovascular diseases: a bidirectional Mendelian randomization study. Mol Genet Genomics 2023; 298:1007-1021. [PMID: 37233799 DOI: 10.1007/s00438-023-02035-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/15/2023] [Indexed: 05/27/2023]
Abstract
High-altitude adaptation (HAA) was reported to be significantly associated with reduced risks for multiple cardiovascular diseases (CVDs). However, the causality and direction of the associations are largely uncharacterized. We aimed to examine the potential causal relationships between HAA and six types of CVD, including coronary artery disease (CAD), cerebral aneurysm, ischemic stroke, peripheral artery disease, arrhythmia and atrial fibrillation. We obtained the summary data from largest available genome-wide association study of HAA and six types of CVD. Two-sample bidirectional Mendelian randomization (MR) analyses were performed to infer the causality between them. In the sensitivity analyses, MR-Egger regression analyses and MR-Pleiotropy RESidual Sum and Outlier (MR-PRESSO) global analyses were used to assess the pleiotropic effects; Cochran's Q tests were used to test the heterogeneity by inverse variance-weighted (IVW) and MR-Egger methods; and the leave-one-out analyses were used to examine whether some single nucleotide polymorphisms (SNPs) could influence the results independently. The MR main analyses showed that the genetically instrumented HAA was significantly causally associated with the reduced risks of CAD (odds ratio [OR] = 0.029; 95% confidence interval [CI] = 0.004-0.234; P = 8.64 × 10-4). In contrast, there was no statistically significant relationship between CVDs and HAA. Our findings provide evidence for the causal effects of HAA on the reduced risks of CAD. However, there is no causality of CVDs on HAA. These findings might be helpful in developing the prevention and intervention strategies for CAD.
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Affiliation(s)
- Yuqing Jiang
- Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, 211166, People's Republic of China
| | - Jie Ping
- Department of Genetics and Integrative Omics, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China
| | - Hao Lu
- Department of Genetics and Integrative Omics, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China
| | - Haoxiang Zhang
- The No. 954 Hospital of PLA, Shannan City, 856100, People's Republic of China
| | - Mengyu Liu
- Department of Genetics and Integrative Omics, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China
| | - Yuanfeng Li
- Department of Genetics and Integrative Omics, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China.
| | - Gangqiao Zhou
- Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, 211166, People's Republic of China.
- Department of Genetics and Integrative Omics, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China.
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14
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Jin Y, Ren W, Liu J, Tang X, Shi X, Pan D, Hou L, Yang L. Identification and validation of potential hypoxia-related genes associated with coronary artery disease. Front Physiol 2023; 14:1181510. [PMID: 37637145 PMCID: PMC10447898 DOI: 10.3389/fphys.2023.1181510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 08/01/2023] [Indexed: 08/29/2023] Open
Abstract
Introduction: Coronary artery disease (CAD) is one of the most life-threatening cardiovascular emergencies with high mortality and morbidity. Increasing evidence has demonstrated that the degree of hypoxia is closely associated with the development and survival outcomes of CAD patients. However, the role of hypoxia in CAD has not been elucidated. Methods: Based on the GSE113079 microarray dataset and the hypoxia-associated gene collection, differential analysis, machine learning, and validation of the screened hub genes were carried out. Results: In this study, 54 differentially expressed hypoxia-related genes (DE-HRGs), and then 4 hub signature genes (ADM, PPFIA4, FAM162A, and TPBG) were identified based on microarray datasets GSE113079 which including of 93 CAD patients and 48 healthy controls and hypoxia-related gene set. Then, 4 hub genes were also validated in other three CAD related microarray datasets. Through GO and KEGG pathway enrichment analyses, we found three upregulated hub genes (ADM, PPFIA4, TPBG) were strongly correlated with differentially expressed metabolic genes and all the 4 hub genes were mainly enriched in many immune-related biological processes and pathways in CAD. Additionally, 10 immune cell types were found significantly different between the CAD and control groups, especially CD8 T cells, which were apparently essential in cardiovascular disease by immune cell infiltration analysis. Furthermore, we compared the expression of 4 hub genes in 15 cell subtypes in CAD coronary lesions and found that ADM, FAM162A and TPBG were all expressed at higher levels in endothelial cells by single-cell sequencing analysis. Discussion: The study identified four hypoxia genes associated with coronary heart disease. The findings provide more insights into the hypoxia landscape and, potentially, the therapeutic targets of CAD.
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Affiliation(s)
- Yuqing Jin
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Weiyan Ren
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Jiayi Liu
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Xuejiao Tang
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Xinrui Shi
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Dongchen Pan
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Lianguo Hou
- Biochemistry Research Laboratory, School of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Lei Yang
- Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China
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15
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Yuan S, Li Y, Wang L, Xu F, Chen J, Levin MG, Xiong Y, Voight BF, Damrauer SM, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Shen X, Larsson SC. Deciphering the genetic architecture of atrial fibrillation offers insights into disease prediction, pathophysiology and downstream sequelae. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.20.23292938. [PMID: 37546828 PMCID: PMC10402218 DOI: 10.1101/2023.07.20.23292938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Aims The study aimed to discover novel genetic loci for atrial fibrillation (AF), explore the shared genetic etiologies between AF and other cardiovascular and cardiometabolic traits, and uncover AF pathogenesis using Mendelian randomization analysis. Methods and results We conducted a genome-wide association study meta-analysis including 109,787 AF cases and 1,165,920 controls of European ancestry and identified 215 loci, among which 91 were novel. We performed Genomic Structural Equation Modeling analysis between AF and four cardiovascular comorbidities (coronary artery disease, ischemic stroke, heart failure, and vneous thromboembolism) and found 189 loci shared across these diseases as well as a universal genetic locus shared by atherosclerotic outcomes (i.e., rs1537373 near CDKN2B). Three genetic loci (rs10740129 near JMJD1C, rs2370982 near NRXN3, and rs9931494 near FTO) were associated with AF and cardiometabolic traits. A polygenic risk score derived from this genome-wide meta-analysis was associated with AF risk (odds ratio 2.36, 95% confidence interval 2.31-2.41 per standard deviation increase) in the UK biobank. This score, combined with age, sex, and basic clinical features, predicted AF risk (AUC 0.784, 95% CI 0.781-0.787) in Europeans. Phenome-wide association analysis of the polygenic risk score identified many AF-related comorbidities of the circulatory, endocrine, and respiratory systems. Phenome-wide and multi-omic Mendelian randomization analyses identified associations of blood lipids and pressure, diabetes, insomnia, obesity, short sleep, and smoking, 27 blood proteins, one gut microbe (genus.Catenibacterium), and 11 blood metabolites with risk to AF. Conclusions This genome-wide association study and trans-omic Mendelian randomization analysis provides insights into disease risk prediction, pathophysiology and downstream sequelae.
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Affiliation(s)
- Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuying Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lijuan Wang
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fengzhe Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jie Chen
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Michael G Levin
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin F. Voight
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Scott M Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Karl Michaëlsson
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Xue Li
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xia Shen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Susanna C. Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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16
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Maurya S, Mills RW, Kahnert K, Chiang DY, Bertoli G, Lundegaard PR, Duran MPH, Zhang M, Rothenberg E, George AL, MacRae CA, Delmar M, Lundby A. Outlining cardiac ion channel protein interactors and their signature in the human electrocardiogram. NATURE CARDIOVASCULAR RESEARCH 2023; 2:673-692. [PMID: 38666184 PMCID: PMC11041666 DOI: 10.1038/s44161-023-00294-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 05/31/2023] [Indexed: 04/28/2024]
Abstract
Protein-protein interactions are essential for normal cellular processes and signaling events. Defining these interaction networks is therefore crucial for understanding complex cellular functions and interpretation of disease-associated gene variants. We need to build a comprehensive picture of the interactions, their affinities and interdependencies in the specific organ to decipher hitherto poorly understood signaling mechanisms through ion channels. Here we report the experimental identification of the ensemble of protein interactors for 13 types of ion channels in murine cardiac tissue. Of these, we validated the functional importance of ten interactors on cardiac electrophysiology through genetic knockouts in zebrafish, gene silencing in mice, super-resolution microscopy and patch clamp experiments. Furthermore, we establish a computational framework to reconstruct human cardiomyocyte ion channel networks from deep proteome mapping of human heart tissue and human heart single-cell gene expression data. Finally, we integrate the ion channel interactome with human population genetics data to identify proteins that influence the electrocardiogram (ECG). We demonstrate that the combined channel network is enriched for proteins influencing the ECG, with 44% of the network proteins significantly associated with an ECG phenotype. Altogether, we define interactomes of 13 major cardiac ion channels, contextualize their relevance to human electrophysiology and validate functional roles of ten interactors, including two regulators of the sodium current (epsin-2 and gelsolin). Overall, our data provide a roadmap for our understanding of the molecular machinery that regulates cardiac electrophysiology.
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Affiliation(s)
- Svetlana Maurya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert W. Mills
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Konstantin Kahnert
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - David Y. Chiang
- Cardiovascular Medicine Division, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Giorgia Bertoli
- Division of Cardiology, NYU School of Medicine, New York, NY USA
| | - Pia R. Lundegaard
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Mingliang Zhang
- Division of Cardiology, NYU School of Medicine, New York, NY USA
| | - Eli Rothenberg
- Division of Pharmacology, NYU School of Medicine, New York, NY USA
| | - Alfred L. George
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Calum A. MacRae
- Cardiovascular Medicine Division, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Mario Delmar
- Division of Cardiology, NYU School of Medicine, New York, NY USA
| | - Alicia Lundby
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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17
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Qiao J, Wu Y, Zhang S, Xu Y, Zhang J, Zeng P, Wang T. Evaluating significance of European-associated index SNPs in the East Asian population for 31 complex phenotypes. BMC Genomics 2023; 24:324. [PMID: 37312035 DOI: 10.1186/s12864-023-09425-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 06/01/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWASs) have identified many single-nucleotide polymorphisms (SNPs) associated with complex phenotypes in the European (EUR) population; however, the extent to which EUR-associated SNPs can be generalized to other populations such as East Asian (EAS) is not clear. RESULTS By leveraging summary statistics of 31 phenotypes in the EUR and EAS populations, we first evaluated the difference in heritability between the two populations and calculated the trans-ethnic genetic correlation. We observed the heritability estimates of some phenotypes varied substantially across populations and 53.3% of trans-ethnic genetic correlations were significantly smaller than one. Next, we examined whether EUR-associated SNPs of these phenotypes could be identified in EAS using the trans-ethnic false discovery rate method while accounting for winner's curse for SNP effect in EUR and difference of sample sizes in EAS. We found on average 54.5% of EUR-associated SNPs were also significant in EAS. Furthermore, we discovered non-significant SNPs had higher effect heterogeneity, and significant SNPs showed more consistent linkage disequilibrium and allele frequency patterns between the two populations. We also demonstrated non-significant SNPs were more likely to undergo natural selection. CONCLUSIONS Our study revealed the extent to which EUR-associated SNPs could be significant in the EAS population and offered deep insights into the similarity and diversity of genetic architectures underlying phenotypes in distinct ancestral groups.
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Affiliation(s)
- Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yuxuan Wu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yue Xu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jinhui Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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18
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Au Yeung SL, Borges MC, Wong THT, Lawlor DA, Schooling CM. Evaluating the role of non-alcoholic fatty liver disease in cardiovascular diseases and type 2 diabetes: a Mendelian randomization study in Europeans and East Asians. Int J Epidemiol 2023; 52:921-931. [PMID: 36367831 PMCID: PMC10244054 DOI: 10.1093/ije/dyac212] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2023] Open
Abstract
BACKGROUND Whether non-alcoholic fatty liver disease (NAFLD) causes cardiovascular disease (CVD) and type 2 diabetes (T2D) is unclear and possible differences between ethnicities have not been thoroughly explored. We used Mendelian randomization (MR) to assess the role of NAFLD in CVD and T2D risk in Europeans and East Asians. METHODS We conducted a MR study using genetic predictors of alanine aminotransferase (ALT), liability to NAFLD, aspartate transaminase (AST), liver magnetic resonance imaging corrected T1 and proton density fat fraction and combined them with genome-wide association studies (GWAS) summary statistics of CVD, T2D and glycaemic traits (sample size ranging from 14 400 to 977 320). Inverse-variance weighted analysis was used to assess the effect of NAFLD in these outcomes, with sensitivity analyses and replication in FinnGen. We conducted analyses in East Asians using ethnicity-specific genetic predictors of ALT and AST, and the respective outcome GWAS summary statistics. RESULTS In Europeans, higher ALT was associated with higher T2D risk (odds ratio: 1.77 per standard deviation, 95% CI 1.5 to 2.08), with similar results for other exposures, across sensitivity analyses and in FinnGen. Although NAFLD proxies were related to higher coronary artery disease (CAD) and stroke risk, sensitivity analyses suggested possible bias by horizontal pleiotropy. In East Asians, higher ALT was possibly associated with higher T2D risk, and ALT and AST were inversely associated with CAD. CONCLUSIONS NAFLD likely increases the risk of T2D in Europeans and East Asians. Potential differential effects on CAD between Europeans and East Asians require further investigation.
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Affiliation(s)
- Shiu Lun Au Yeung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tommy Hon Ting Wong
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - C Mary Schooling
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health and Health Policy, City University of New York, New York, USA
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19
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Patel KK, Venkatesan C, Abdelhalim H, Zeeshan S, Arima Y, Linna-Kuosmanen S, Ahmed Z. Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility. Hum Genomics 2023; 17:47. [PMID: 37270590 DOI: 10.1186/s40246-023-00498-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/31/2023] [Indexed: 06/05/2023] Open
Abstract
Atrial fibrillation (AF) and heart failure (HF) contribute to about 45% of all cardiovascular disease (CVD) deaths in the USA and around the globe. Due to the complex nature, progression, inherent genetic makeup, and heterogeneity of CVDs, personalized treatments are believed to be critical. To improve the deciphering of CVD mechanisms, we need to deeply investigate well-known and identify novel genes that are responsible for CVD development. With the advancements in sequencing technologies, genomic data have been generated at an unprecedented pace to foster translational research. Correct application of bioinformatics using genomic data holds the potential to reveal the genetic underpinnings of various health conditions. It can help in the identification of causal variants for AF, HF, and other CVDs by moving beyond the one-gene one-disease model through the integration of common and rare variant association, the expressed genome, and characterization of comorbidities and phenotypic traits derived from the clinical information. In this study, we examined and discussed variable genomic approaches investigating genes associated with AF, HF, and other CVDs. We collected, reviewed, and compared high-quality scientific literature published between 2009 and 2022 and accessible through PubMed/NCBI. While selecting relevant literature, we mainly focused on identifying genomic approaches involving the integration of genomic data; analysis of common and rare genetic variants; metadata and phenotypic details; and multi-ethnic studies including individuals from ethnic minorities, and European, Asian, and American ancestries. We found 190 genes associated with AF and 26 genes linked to HF. Seven genes had implications in both AF and HF, which are SYNPO2L, TTN, MTSS1, SCN5A, PITX2, KLHL3, and AGAP5. We listed our conclusion, which include detailed information about genes and SNPs associated with AF and HF.
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Affiliation(s)
- Kush Ketan Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson St, New Brunswick, NJ, USA
| | - Cynthia Venkatesan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson St, New Brunswick, NJ, USA
| | - Habiba Abdelhalim
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson St, New Brunswick, NJ, USA
| | - Saman Zeeshan
- Rutgers Cancer Institute of New Jersey, Rutgers University, 195 Little Albany St, New Brunswick, NJ, USA
| | - Yuichiro Arima
- Developmental Cardiology Laboratory, International Research Center for Medical Sciences, Kumamoto University, 2-2-1 Honjo, Kumamoto City, Kumamoto, Japan
| | - Suvi Linna-Kuosmanen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211, Kuopio, Finland
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Zeeshan Ahmed
- Department of Genetics and Genome Sciences, UConn Health, 400 Farmington Ave, Farmington, CT, USA.
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers Biomedical and Health Sciences, 125 Paterson St, New Brunswick, NJ, USA.
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20
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Tonegawa-Kuji R, Kanaoka K, Iwanaga Y. Current status of real-world big data research in the cardiovascular field in Japan. J Cardiol 2023; 81:307-315. [PMID: 36126909 DOI: 10.1016/j.jjcc.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 02/01/2023]
Abstract
Real-world data (RWD) are observational data obtained by collecting, structuring, and accumulating patient information among the medical big data. RWD are derived from a variety of patient medical care and health information outside of conventional research data, and include electronic health records, claims data, registry data of disease, drug and device, health check-up data, and more recently, patient information data from wearable devices. They are currently being utilized in various forms for optimal medical care and real-world evidence (RWE) is constructed through a process of hypothesis generation and verification based on the RWD research. Together with classic clinical research and pragmatic trials, RWE shapes the learning healthcare system and contributes to the improvement of medical care. In the cardiovascular medical care of the current super-aged society, the need for a variety of RWE and the research is increasing, since the guidelines established over time and the medical care based on it cannot necessarily be the best in accordance with the current medical situation. In this review, we focus on the RWD and RWE studies in the cardiovascular medical field and outlines their current status in Japan. Furthermore, we discuss the potential for extending the studies and issues related to the use of medical big data and RWD.
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Affiliation(s)
- Reina Tonegawa-Kuji
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Koshiro Kanaoka
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Yoshitaka Iwanaga
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Japan.
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21
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Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility. Nat Commun 2023; 14:896. [PMID: 36797296 PMCID: PMC9935862 DOI: 10.1038/s41467-023-36491-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 02/03/2023] [Indexed: 02/18/2023] Open
Abstract
Identification of protein quantitative trait loci (pQTL) helps understand the underlying mechanisms of diseases and discover promising targets for pharmacological intervention. For most important class of drug targets, genetic evidence needs to be generalizable to diverse populations. Given that the majority of the previous studies were conducted in European ancestry populations, little is known about the protein-associated genetic variants in East Asians. Based on data-independent acquisition mass spectrometry technique, we conduct genome-wide association analyses for 304 unique proteins in 2,958 Han Chinese participants. We identify 195 genetic variant-protein associations. Colocalization and Mendelian randomization analyses highlight 60 gene-protein-phenotype associations, 45 of which (75%) have not been prioritized in Europeans previously. Further cross-ancestry analyses uncover key proteins that contributed to the differences in the obesity-induced diabetes and coronary artery disease susceptibility. These findings provide novel druggable proteins as well as a unique resource for the trans-ancestry evaluation of protein-targeted drug discovery.
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22
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Abstract
PURPOSE OF REVIEW Atrial fibrillation is the most common cardiac arrhythmia worldwide. There is considerable interest in better understanding the molecular genetics and biology of atrial fibrillation to inform the development of new therapies and improve clinical management. This review summarizes recent advances in our understanding of the genetic basis of atrial fibrillation and new efforts to utilize genetics to inform clinical management. RECENT FINDINGS Genome-wide association studies in diverse populations have increased the number of genetic loci associated with atrial fibrillation and its specific subtypes. Large-scale biobanks with deep phenotyping have provided invaluable data to study the impact of both common and rare variants on atrial fibrillation, susceptibility, and prognosis. Polygenic risk scores help improve individual atrial fibrillation risk stratification and prognostication. SUMMARY Our understanding of atrial fibrillation genetics is rapidly improving with larger and more diverse genome-wide association studies. Translating genetic discoveries into molecular pathways and new therapeutic targets remains a bottleneck in the development of new therapies for atrial fibrillation. Genetic risk scores have shown early promise in improving atrial fibrillation risk stratification; however, their broader utility for the general population remains unclear.
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Affiliation(s)
- David S M Lee
- Medical Scientist Training Program, University of Pennsylvania Perelman School of Medicine
| | - Scott M Damrauer
- Corporal Michael J. Crescenz VA Medical Center.,Department of Surgery.,Department of Genetics, University of Pennsylvania Perelman School of Medicine
| | - Michael G Levin
- Corporal Michael J. Crescenz VA Medical Center.,Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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23
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Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction. Nat Genet 2023; 55:187-197. [PMID: 36653681 PMCID: PMC9925380 DOI: 10.1038/s41588-022-01284-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 12/09/2022] [Indexed: 01/20/2023]
Abstract
Atrial fibrillation (AF) is a common cardiac arrhythmia resulting in increased risk of stroke. Despite highly heritable etiology, our understanding of the genetic architecture of AF remains incomplete. Here we performed a genome-wide association study in the Japanese population comprising 9,826 cases among 150,272 individuals and identified East Asian-specific rare variants associated with AF. A cross-ancestry meta-analysis of >1 million individuals, including 77,690 cases, identified 35 new susceptibility loci. Transcriptome-wide association analysis identified IL6R as a putative causal gene, suggesting the involvement of immune responses. Integrative analysis with ChIP-seq data and functional assessment using human induced pluripotent stem cell-derived cardiomyocytes demonstrated ERRg as having a key role in the transcriptional regulation of AF-associated genes. A polygenic risk score derived from the cross-ancestry meta-analysis predicted increased risks of cardiovascular and stroke mortalities and segregated individuals with cardioembolic stroke in undiagnosed AF patients. Our results provide new biological and clinical insights into AF genetics and suggest their potential for clinical applications.
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24
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Bosada FM, van Duijvenboden K, Giovou AE, Rivaud MR, Uhm JS, Verkerk AO, Boukens BJ, Christoffels VM. An atrial fibrillation-associated regulatory region modulates cardiac Tbx5 levels and arrhythmia susceptibility. eLife 2023; 12:80317. [PMID: 36715501 PMCID: PMC9928424 DOI: 10.7554/elife.80317] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/29/2023] [Indexed: 01/31/2023] Open
Abstract
Heart development and rhythm control are highly Tbx5 dosage-sensitive. TBX5 haploinsufficiency causes congenital conduction disorders, whereas increased expression levels of TBX5 in human heart samples has been associated with atrial fibrillation (AF). We deleted the conserved mouse orthologues of two independent AF-associated genomic regions in the Tbx5 locus, one intronic (RE(int)) and one downstream (RE(down)) of Tbx5. In both lines, we observed a modest (30%) increase of Tbx5 in the postnatal atria. To gain insight into the effects of slight dosage increase in vivo, we investigated the atrial transcriptional, epigenetic and electrophysiological properties of both lines. Increased atrial Tbx5 expression was associated with induction of genes involved in development, ion transport and conduction, with increased susceptibility to atrial arrhythmias, and increased action potential duration of atrial cardiomyocytes. We identified an AF-associated variant in the human RE(int) that increases its transcriptional activity. Expression of the AF-associated transcription factor Prrx1 was induced in Tbx5RE(int)KO cardiomyocytes. We found that some of the transcriptional and functional changes in the atria caused by increased Tbx5 expression were normalized when reducing cardiac Prrx1 expression in Tbx5RE(int)KO mice, indicating an interaction between these two AF genes. We conclude that modest increases in expression of dose-dependent transcription factors, caused by common regulatory variants, significantly impact on the cardiac gene regulatory network and disease susceptibility.
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Affiliation(s)
- Fernanda M Bosada
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
- Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
| | - Karel van Duijvenboden
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
| | - Alexandra E Giovou
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
| | - Mathilde R Rivaud
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
- Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
| | - Jae-Sun Uhm
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
- Department of Cardiology, Severance Hospital, College of Medicine, Yonsei UniversitySeoulRepublic of Korea
| | - Arie O Verkerk
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
- Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
| | - Bastiaan J Boukens
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
- Department of Physiology, University of Maastricht, Cardiovascular Research Institute Maastricht, Maastricht University Medical CenterMaastrichtNetherlands
| | - Vincent M Christoffels
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of AmsterdamAmsterdamNetherlands
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25
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Hasegawa M, Taniguchi J, Ueda H, Watanabe M. Twin Study: Genetic and Epigenetic Factors Affecting Circulating Adiponectin Levels. J Clin Endocrinol Metab 2022; 108:144-154. [PMID: 36082629 DOI: 10.1210/clinem/dgac532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/28/2022] [Indexed: 02/03/2023]
Abstract
CONTEXT Clarification of the association among phenotypes, genetic, and environmental factors with clinical laboratory traits can reveal the cause of diseases and assist in developing methods for the prediction and prevention of diseases. It is difficult to investigate the environmental effect on phenotypes using individual samples because their genetic and environmental factors differ, but we can easily investigate the influence of environmental factors using monozygotic (MZ) twins because they have the same genetic factors. OBJECTIVE We aimed to examine the methylation level of CpG sites as an environmental factor affecting adiponectin levels on the basis of the same genetic background using MZ twins and to identify the epigenetic factors related to adiponectin levels and the genetic factors associated with sensitivity to acquired changes in adiponectin. METHODS Using 2 groups built from each twin of 232 MZ twin pairs, we performed a replicated epigenome-wide association study to clarify the epigenetic factors affecting adiponectin levels adjusted by genetic risk score. Moreover, we divided twin pairs into concordant and discordant for adiponectin levels. We conducted a genome-wide association study to identify a genetic background specific for discordance. RESULTS Methylation levels at 38 CpG sites were reproducibly associated with adjusted adiponectin levels, and some of these CpG sites were in genes related to adiponectin, including CDH13. Some genes related to adiponectin or insulin resistance were found to be genetic factors specific for discordance. CONCLUSION We clarified specific epigenetic factors affecting adiponectin levels and genetic factors associated with sensitivity to acquired changes in adiponectin.
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Affiliation(s)
- Mika Hasegawa
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Jumpei Taniguchi
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hiromichi Ueda
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Mikio Watanabe
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
- Graduate School of Medicine, Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
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26
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Nagata Y, Watanabe R, Eichhorn C, Ohno S, Aiba T, Ishikawa T, Nakano Y, Aizawa Y, Hayashi K, Murakoshi N, Nakajima T, Yagihara N, Mishima H, Sudo T, Higuchi C, Takahashi A, Sekine A, Makiyama T, Tanaka Y, Watanabe A, Tachibana M, Morita H, Yoshiura KI, Tsunoda T, Watanabe H, Kurabayashi M, Nogami A, Kihara Y, Horie M, Shimizu W, Makita N, Tanaka T. Targeted deep sequencing analyses of long QT syndrome in a Japanese population. PLoS One 2022; 17:e0277242. [PMID: 36480497 PMCID: PMC9731492 DOI: 10.1371/journal.pone.0277242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 10/22/2022] [Indexed: 12/13/2022] Open
Abstract
Long QT syndrome (LQTS) is one of the most common inherited arrhythmias and multiple genes have been reported as causative. Presently, genetic diagnosis for LQTS patients is becoming widespread and contributing to implementation of therapies. However, causative genetic mutations cannot be detected in about 20% of patients. To elucidate additional genetic mutations in LQTS, we performed deep-sequencing of previously reported 15 causative and 85 candidate genes for this disorder in 556 Japanese LQTS patients. We performed in-silico filtering of the sequencing data and found 48 novel variants in 33 genes of 53 cases. These variants were predicted to be damaging to coding proteins or to alter the binding affinity of several transcription factors. Notably, we found that most of the LQTS-related variants in the RYR2 gene were in the large cytoplasmic domain of the N-terminus side. They might be useful for screening of LQTS patients who had no known genetic factors. In addition, when the mechanisms of these variants in the development of LQTS are revealed, it will be useful for early diagnosis, risk stratification, and selection of treatment.
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Affiliation(s)
- Yuki Nagata
- Bioresourse Research Center, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Ryo Watanabe
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Christian Eichhorn
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
- Private University of the Principality of Liechtenstein, Triesen, Liechtenstein
| | - Seiko Ohno
- Department of Bioscience and Genetics, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Takeshi Aiba
- Devision of Arrhythmia, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Taisuke Ishikawa
- Omics Research Center, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University, Hiroshima, Japan
| | - Yoshiyasu Aizawa
- Department of Cardiology, International University of Health and Welfare Narita Hospital, Narita, Japan
| | - Kenshi Hayashi
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Nobuyuki Murakoshi
- Department of Cardiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Tadashi Nakajima
- Department of Cardiovascular Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Nobue Yagihara
- Department of Cardiovascular Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Hiroyuki Mishima
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Takeaki Sudo
- Institute of Education, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Chihiro Higuchi
- Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki, Japan
| | - Atsushi Takahashi
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Akihiro Sekine
- Department of Infection and Host Defense, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takeru Makiyama
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yoshihiro Tanaka
- Center for Arrhythmia Research, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Atsuyuki Watanabe
- Department of Cardiology, National Hospital Organization Okayama Medical Center, Okayama, Japan
| | - Motomi Tachibana
- Department of Cardiology, Sakakibara heart institute of Okayama, Okayama, Japan
| | - Hiroshi Morita
- Department of Cardiovascular Therapeutics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Koh-ichiro Yoshiura
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
- Division of Advanced Preventive Medical Sciences and Leading Medical Research Core Unit, Nagasaki Univerisity Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Tatsuhiko Tsunoda
- Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Hiroshi Watanabe
- Department of Cardiovascular Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Masahiko Kurabayashi
- Department of Cardiovascular Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Akihiko Nogami
- Department of Cardiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Yasuki Kihara
- Department of Cardiovascular Medicine, Hiroshima University, Hiroshima, Japan
| | - Minoru Horie
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Wataru Shimizu
- Department of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan
| | - Naomasa Makita
- Omics Research Center, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Toshihiro Tanaka
- Bioresourse Research Center, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
- * E-mail:
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27
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Borges MC, Haycock P, Zheng J, Hemani G, Howe LJ, Schmidt AF, Staley JR, Lumbers RT, Henry A, Lemaitre RN, Gaunt TR, Holmes MV, Davey Smith G, Hingorani AD, Lawlor DA. The impact of fatty acids biosynthesis on the risk of cardiovascular diseases in Europeans and East Asians: a Mendelian randomization study. Hum Mol Genet 2022; 31:4034-4054. [PMID: 35796550 PMCID: PMC9703943 DOI: 10.1093/hmg/ddac153] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/11/2022] [Accepted: 06/24/2022] [Indexed: 11/14/2022] Open
Abstract
Despite early interest, the evidence linking fatty acids to cardiovascular diseases (CVDs) remains controversial. We used Mendelian randomization to explore the involvement of polyunsaturated (PUFA) and monounsaturated (MUFA) fatty acids biosynthesis in the etiology of several CVD endpoints in up to 1 153 768 European (maximum 123 668 cases) and 212 453 East Asian (maximum 29 319 cases) ancestry individuals. As instruments, we selected single nucleotide polymorphisms mapping to genes with well-known roles in PUFA (i.e. FADS1/2 and ELOVL2) and MUFA (i.e. SCD) biosynthesis. Our findings suggest that higher PUFA biosynthesis rate (proxied by rs174576 near FADS1/2) is related to higher odds of multiple CVDs, particularly ischemic stroke, peripheral artery disease and venous thromboembolism, whereas higher MUFA biosynthesis rate (proxied by rs603424 near SCD) is related to lower odds of coronary artery disease among Europeans. Results were unclear for East Asians as most effect estimates were imprecise. By triangulating multiple approaches (i.e. uni-/multi-variable Mendelian randomization, a phenome-wide scan, genetic colocalization and within-sibling analyses), our results are compatible with higher low-density lipoprotein (LDL) cholesterol (and possibly glucose) being a downstream effect of higher PUFA biosynthesis rate. Our findings indicate that PUFA and MUFA biosynthesis are involved in the etiology of CVDs and suggest LDL cholesterol as a potential mediating trait between PUFA biosynthesis and CVDs risk.
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Affiliation(s)
- Maria-Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Phillip Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Laurence J Howe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - A Floriaan Schmidt
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Department of Cardiology, Division Heart and Lungs, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - James R Staley
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - R Thomas Lumbers
- Institute of Health Informatics, University College London, London NW1 2DA, UK
- Health Data Research UK London, University College London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Albert Henry
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Institute of Health Informatics, University College London, London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA WA 98101, USA
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Aroon D Hingorani
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Health Data Research UK London, University College London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
- NIHR Bristol Biomedical Research Centre, Bristol BS8 2BN, UK
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28
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Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Cárcel-Márquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Børte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O'Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS, Rosand J, Sabatine MS, Sacco RL, Saleheen D, Sandset EC, Salomaa V, Sargurupremraj M, Sasaki M, Satizabal CL, Schmidt CO, Shimizu A, Smith NL, Sloane KL, Sutoh Y, Sun YV, Tanno K, Tiedt S, Tatlisumak T, Torres-Aguila NP, Tiwari HK, Trégouët DA, Trompet S, Tuladhar AM, Tybjærg-Hansen A, van Vugt M, Vibo R, Verma SS, Wiggins KL, Wennberg P, Woo D, Wilson PWF, Xu H, Yang Q, Yoon K, Millwood IY, Gieger C, Ninomiya T, Grabe HJ, Jukema JW, Rissanen IL, Strbian D, Kim YJ, Chen PH, Mayerhofer E, Howson JMM, Irvin MR, Adams H, Wassertheil-Smoller S, Christensen K, Ikram MA, Rundek T, Worrall BB, Lathrop GM, Riaz M, Simonsick EM, Kõrv J, França PHC, Zand R, Prasad K, Frikke-Schmidt R, de Leeuw FE, Liman T, Haeusler KG, Ruigrok YM, Heuschmann PU, Longstreth WT, Jung KJ, Bastarache L, Paré G, Damrauer SM, Chasman DI, Rotter JI, Anderson CD, Zwart JA, Niiranen TJ, Fornage M, Liaw YP, Seshadri S, Fernández-Cadenas I, Walters RG, Ruff CT, Owolabi MO, Huffman JE, Milani L, Kamatani Y, Dichgans M, Debette S. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 2022; 611:115-123. [PMID: 36180795 PMCID: PMC9524349 DOI: 10.1038/s41586-022-05165-3] [Citation(s) in RCA: 137] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/29/2022] [Indexed: 01/29/2023]
Abstract
Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
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Affiliation(s)
- Aniket Mishra
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Tsuyoshi Hachiya
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Tuuli Jürgenson
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Daniel C Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Frederick K Kamanu
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Masaru Koido
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Quentin Le Grand
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Mingyang Shi
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yunye He
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ilana Caro
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yi-Ching Liaw
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Felix C Vaura
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bendik Slagsvold Winsvold
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Vinodh Srinivasasainagendra
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | | | - Michael R Chong
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Liisa Tomppo
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Rufus Akinyemi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Neuroscience and Ageing Research Unit Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Naomi Habib
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marianne Nygaard
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Hampton L Leonard
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Ekaterina Yonova-Doing
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Adam J Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Renae L Judy
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Tetsuro Ago
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Philippe Amouyel
- University of Lille, INSERM U1167, RID-AGE, LabEx DISTALZ, Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- CHU Lille, Public Health Department, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Nicole D Armstrong
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mark K Bakker
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Constance Bordes
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Sigrid Børte
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Anael Cain
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, Saint Louis, MO, USA
| | - John W Cole
- VA Maryland Health Care System, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Phil L de Jager
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Rafael de Cid
- GenomesForLife-GCAT Lab Group, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Matthias Endres
- Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
| | - Leslie E Ferreira
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Mirjam I Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Natalie C Gasca
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, FIMM-HiLIFE, Helsinki, Finland
| | - Jemma C Hopewell
- Clinical Trial Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hyacinth I Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael Inouye
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Mina A Jacob
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christina E Jeon
- Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Masahiro Kamouchi
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keith L Keene
- Department of Biology, Brody School of Medicine Center for Health Disparities, East Carolina University, Greenville, NC, USA
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Steven J Kittner
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology and Geriatric Research and Education Clinical Center, VA Maryland Health Care System, Baltimore, MD, USA
| | - Takahiro Konuma
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Amit Kumar
- Rajendra Institute of Medical Sciences, Ranchi, India
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Kaido Lepik
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- University Center for Primary Care and Public Health, Lausanne, Switzerland
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Nicholas A Marston
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Felipe A Montellano
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Takayuki Morisaki
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
| | - Thomas H Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mike A Nalls
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Martin J O'Donnell
- College of Medicine Nursing and Health Science, NUI Galway, Galway, Ireland
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München,, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich, Munich, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Marc S Sabatine
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ralph L Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Danish Saleheen
- Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA
| | - Else Charlotte Sandset
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
- Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Carsten O Schmidt
- University Medicine Greifswald, Institute for Community Medicine, SHIP/KEF, Greifswald, Germany
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA, USA
| | - Kelly L Sloane
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Yoichi Sutoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Yan V Sun
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Turgut Tatlisumak
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Unviersity Hospital, Gothenburg, Sweden
| | - Nuria P Torres-Aguila
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David-Alexandre Trégouët
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anil Man Tuladhar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Marion van Vugt
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Riina Vibo
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Shefali S Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Peter W F Wilson
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Medicine, Division of Cardiovascular Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Qiong Yang
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Rostock, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
| | - Ina L Rissanen
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Pei-Hsin Chen
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joanna M M Howson
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hieab Adams
- Department of Clinical Genetics, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Bradford B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Science, University of Virginia, Charlottesville, VA, USA
| | | | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Eleanor M Simonsick
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Paulo H C França
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Ramin Zand
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, PA, USA
- Department of Neurology, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | | | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Liman
- Center for Stroke Research Berlin, Berlin, Germany
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Klinik für Neurologie, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | | | - Ynte M Ruigrok
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Peter Ulrich Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - W T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Keum Ji Jung
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Guillaume Paré
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
| | - Scott M Damrauer
- Department of Surgery and Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - John-Anker Zwart
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Teemu J Niiranen
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yung-Po Liaw
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian T Ruff
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
- Munich Cluster for Systems Neurology, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
| | - Stephanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
- Department of Neurology, Institute for Neurodegenerative Diseases, CHU de Bordeaux, Bordeaux, France.
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Raad M, Lewis C, Almajed MR, Makki T, Refaat M, Khan A, Lahiri M. Atrial fibrillation prevalence and management patterns in a Middle Eastern community in the United States: A retrospective study. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 23:100221. [PMID: 38560655 PMCID: PMC10978395 DOI: 10.1016/j.ahjo.2022.100221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/13/2022] [Accepted: 10/16/2022] [Indexed: 04/04/2024]
Abstract
Atrial fibrillation (AF) is the most common sustained cardiac dysrhythmia in the United States, and its prevalence is expected to increase along with associated morbidity and economic burden. Prior research has demonstrated differing prevalence patterns of AF between racial and ethnic groups, with lower rates identified in Black patients. However, to date there have been no studies on AF prevalence in people of Middle Eastern descent within the United States. This retrospective cross-sectional study aimed to characterize prevalence patterns of AF in Middle Eastern patients in Southeast Michigan relative to White and Black patients. The final cohort included 919,454 patients with a median (IQR) age of 53 (33) years (515,902 [56 %] female). The overall prevalence of AF was approximately 5 %. We observed a lower prevalence of AF in Middle Eastern (2.8 %) and Black patients (3.4 %) than in White patients (6.5 %). Middle Eastern patients with AF were younger with a lower prevalence of cardiovascular risk factors than White patients. Multivariable analysis showed that Middle Eastern (OR 0.75; 95 % CI 0.71-0.80; P < 0.001) and Black racial identity (OR 0.48; 95 % CI 9.47-0.49; P < 0.001) were associated with a lower odds of AF, even after adjustment for traditional risk factors.
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Affiliation(s)
- Mohamad Raad
- Section of Electrophysiology, Division of Cardiology, Henry Ford Hospital, Detroit, MI, USA
| | - Christopher Lewis
- Section of Electrophysiology, Division of Cardiology, Henry Ford Hospital, Detroit, MI, USA
| | | | - Tarek Makki
- Section of Electrophysiology, Division of Cardiology, Henry Ford Hospital, Detroit, MI, USA
| | - Marwan Refaat
- Division of Electrophysiology, Department of Cardiology, American University of Beirut, Beirut, Lebanon
| | - Arfaat Khan
- Section of Electrophysiology, Division of Cardiology, Henry Ford Hospital, Detroit, MI, USA
| | - Marc Lahiri
- Section of Electrophysiology, Division of Cardiology, Henry Ford Hospital, Detroit, MI, USA
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30
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Chen J, Li H, Guo S, Yang Z, Sun S, Zeng J, Gou H, Chen Y, Wang F, Lin Y, Huang K, Yue H, Ma Y, Lin Y. Whole exome sequencing in Brugada and long QT syndromes revealed novel rare and potential pathogenic mutations related to the dysfunction of the cardiac sodium channel. Orphanet J Rare Dis 2022; 17:394. [PMID: 36303204 PMCID: PMC9615250 DOI: 10.1186/s13023-022-02542-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/04/2022] [Indexed: 11/21/2022] Open
Abstract
Background Brugada syndrome (Brs) and long QT syndrome (LQTs) are the most observed “inherited primary arrhythmia syndromes” and “channelopathies”, which lead to sudden cardiac death. Methods Detailed clinical information of Brs and LQTs patients was collected. Genomic DNA samples of peripheral blood were conducted for whole-exome sequencing on the Illumina HiSeq 2000 platform. Then, we performed bioinformatics analysis for 200 genes susceptible to arrhythmias and cardiomyopathies. Protein interaction and transcriptomic co-expression were analyzed using the online website and GTEx database.
Results All sixteen cases of Brs and six cases of LQTs were enrolled in the current study. Four Brs carried known pathogenic or likely pathogenic of single-point mutations, including SCN5A p.R661W, SCN5A p.R965C, and KCNH2 p.R692Q. One Brs carried the heterozygous compound mutations of DSG2 p.F531C and SCN5A p.A1374S. Two Brs carried the novel heterozygous truncated mutations (MAF < 0.001) of NEBL (p.R882X) and NPPA (p.R107X), respectively. Except for the indirect interaction between NEBL and SCN5A, NPPA directly interacts with SCN5A. These gene expressions had a specific and significant positive correlation in myocardial tissue, with high degrees of co-expression and synergy. Two Brs carried MYH7 p.E1902Q and MYH6 p.R1820Q, which were predicted as "damaging/possibly damaging" and "damaging/damaging" by Polyphen and SIFT algorithm. Two LQTs elicited the pathogenic single splicing mutation of KCNQ1 (c.922-1G > C). Three LQTs carried a single pathogenic mutation of SCN5A p.R1880H, KCNH2 p.D161N, and KCNQ1 p.R243S, respectively. One patient of LQTs carried a frameshift mutation of KCNH2 p. A188Gfs*143. Conclusions The truncated mutations of NEBL (p.R882X) and NPPA (p.R107X) may induce Brugada syndrome by abnormally affecting cardiac sodium channel. SCN5A (p.R661W, p.R965C and p.A1374S) and KCNH2 (p.R692Q) may cause Brugada syndrome, while SCN5A (p.R1880H), KCNQ1 (c.922-1G > C and p.R243S) and KCNH2 (p.D161N and p.A188Gfs*143) may lead to long QT syndrome.
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Affiliation(s)
- Jia Chen
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China.,The Second Department of Cardiology, Department of Obstetrics and Gynecology, The Second People's Hospital of Guangdong Province, Guangzhou, 510310, Guangdong Province, China
| | - Hong Li
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China.,The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518048, Guangdong Province, China
| | - Sicheng Guo
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China.,College of Plant Protection, Hunan Agricultural University, Changsha, 410128, Hunan Province, China
| | - Zhe Yang
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China.,Department of Endocrinology and Metabolism, Zhuhai Hospital Affiliated to Jinan University, Zhuhai, 519000, Guangdong Province, China
| | - Shaoping Sun
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China
| | - JunJie Zeng
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China
| | - Hongjuan Gou
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China
| | - Yechang Chen
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China
| | - Feng Wang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Geriatrics Institute, Guangdong Cardiovascular Institute, Guangzhou, 510080, Guangdong Province, China
| | - Yanping Lin
- The Second Department of Cardiology, Department of Obstetrics and Gynecology, The Second People's Hospital of Guangdong Province, Guangzhou, 510310, Guangdong Province, China
| | - Kun Huang
- The Second Department of Cardiology, Department of Obstetrics and Gynecology, The Second People's Hospital of Guangdong Province, Guangzhou, 510310, Guangdong Province, China
| | - Hong Yue
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China.
| | - Yuting Ma
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China. .,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Yubi Lin
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, Guangdong Province, China. .,Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Geriatrics Institute, Guangdong Cardiovascular Institute, Guangzhou, 510080, Guangdong Province, China.
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31
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Li X, Peng S, Wu X, Guan B, Tse G, Chen S, Zhou G, Wei Y, Gong C, Lu X, Xu J, Wu S, Liu S. C-reactive protein and atrial fibrillation: Insights from epidemiological and Mendelian randomization studies. Nutr Metab Cardiovasc Dis 2022; 32:1519-1527. [PMID: 35428542 DOI: 10.1016/j.numecd.2022.03.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/18/2022] [Accepted: 03/04/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS This study aimed to investigate the role of C-reactive protein (CRP) in atrial fibrillation (AF) from epidemiological and genetic perspectives. METHODS AND RESULTS Individual-level data from the Kailuan cohort recruited between 2006 and 2017 were included. Serum CRP levels were measured at baseline and at biennial follow-up visits, and incident AF was ascertained from biennial 12-lead ECG assessment and medical records. Cox proportional hazards models were used to assess the association between baseline CRP levels or cumulative exposure to CRP and incident AF. A meta-analysis including nine prospective cohort studies and our current study was also conducted. Mendelian randomization (MR) analysis was performed to evaluate the aetiological role of CRP in AF. In our observational study (n = 86,424), high baseline CRP levels (>3 mg/L), compared with low CRP (<1 mg/L), were not significantly associated with AF risk (HR: 1.18; 95% CI: 0.99-1.40). High cumulative exposure to CRP (HR: 1.49; 95%CI: 1.01-2.21) was significantly associated with an increased risk of AF. Our meta-analysis suggested a positive association between elevated CRP levels and incident AF (relative risk: 1.27; 95% CI: 1.14-1.42). However, no significant association between genetically determined CRP and AF risk was observed in the MR analysis. CONCLUSION Evidence from observational studies suggested that elevated serum CRP levels were positively associated with incident AF, while the causal effects of CRP on AF were not supported by the MR analysis. CLINICAL TRIAL REGISTRATION URL: https://www.chictr.org.cn; Unique identifier: ChiCTR-TNRC-11001489.
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Affiliation(s)
- Xintao Li
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shi Peng
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyu Wu
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bo Guan
- Geriatric Cardiology Department of the Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; Kent and Medway Medical School, Canterbury, UK
| | - Songwen Chen
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Genqing Zhou
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yong Wei
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Gong
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaofeng Lu
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Juan Xu
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan 063000, China.
| | - Shaowen Liu
- Department of Cardiology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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32
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Manoharan A, Sambandam R, Ballambattu VB. Genetics of atrial fibrillation-an update of recent findings. Mol Biol Rep 2022; 49:8121-8129. [PMID: 35587846 DOI: 10.1007/s11033-022-07420-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/24/2022] [Indexed: 10/18/2022]
Abstract
Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for stroke, heart failure, and premature death. AF has a strong genetic predisposition. This review highlights the recent findings on the genetics of AF from genome-wide association studies (GWAS) and high-throughput sequencing studies. The consensus from GWAS implies that AF is both polygenic and pleiotropic in nature. With the advent of whole-genome sequencing and whole-exome sequencing, rare variants associated with AF pathogenesis have been identified. The recent studies have contributed towards better understanding of AF pathogenesis.
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Affiliation(s)
- Aarthi Manoharan
- Multi-Disciplinary Center for Biomedical Research, Vinayaka Mission's Research Foundation, Aarupadai Veedu Medical College and Hospital, Puducherry, 607402, India
| | - Ravikumar Sambandam
- Multi-Disciplinary Center for Biomedical Research, Vinayaka Mission's Research Foundation, Aarupadai Veedu Medical College and Hospital, Puducherry, 607402, India.
| | - Vishnu Bhat Ballambattu
- Multi-Disciplinary Center for Biomedical Research, Vinayaka Mission's Research Foundation, Aarupadai Veedu Medical College and Hospital, Puducherry, 607402, India
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Pensa AV, Baman JR, Puckelwartz MJ, Wilcox JE. Genetically Based Atrial Fibrillation: Current Considerations for Diagnosis and Management. J Cardiovasc Electrophysiol 2022; 33:1944-1953. [PMID: 35262243 DOI: 10.1111/jce.15446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/30/2022]
Abstract
Atrial fibrillation (AF) is the most common atrial arrhythmia and is subcategorized into numerous clinical phenotypes. Given its heterogeneity, investigations into the genetic mechanisms underlying AF have been pursued in recent decades, with predominant analyses focusing on early onset or lone AF. Linkage analyses, genome wide association studies (GWAS), and single gene analyses have led to the identification of rare and common genetic variants associated with AF risk. Significant overlap with genetic variants implicated in dilated cardiomyopathy syndromes, including truncating variants of the sarcomere protein titin, have been identified through these analyses, in addition to other genes associated with cardiac structure and function. Despite this, widespread utilization of genetic testing in AF remains hindered by the unclear impact of genetic risk identification on clinical outcomes and the high prevalence of variants of unknown significance (VUS). However, genetic testing is a reasonable option for patients with early onset AF and in those with significant family history of arrhythmia. While many knowledge gaps remain, emerging data support genotyping to inform selection of AF therapeutics. In this review we highlight the current understanding of the complex genetic basis of AF and explore the overlap of AF with inherited cardiomyopathy syndromes. We propose a set of criteria for clinical genetic testing in AF patients and outline future steps for the integration of genetics into AF care. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Anthony V Pensa
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Jayson R Baman
- Department of Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Megan J Puckelwartz
- Department of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Jane E Wilcox
- Department of Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL
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Genetic findings in patients with primary fibrotic atrial cardiomyopathy. Eur J Med Genet 2022; 65:104429. [DOI: 10.1016/j.ejmg.2022.104429] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 12/10/2021] [Accepted: 01/15/2022] [Indexed: 11/22/2022]
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Kwon OS, Hong M, Kim TH, Hwang I, Shim J, Choi EK, Lim HE, Yu HT, Uhm JS, Joung B, Oh S, Lee MH, Kim YH, Pak HN. Genome-wide association study-based prediction of atrial fibrillation using artificial intelligence. Open Heart 2022; 9:e001898. [PMID: 35086918 PMCID: PMC8796259 DOI: 10.1136/openhrt-2021-001898] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/05/2022] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE We previously reported early-onset atrial fibrillation (AF) associated genetic loci among a Korean population. We explored whether the AF-associated single-nucleotide polymorphisms (SNPs) selected from the Genome-Wide Association Study (GWAS) of an external large cohort has a prediction power for AF in Korean population through a convolutional neural network (CNN). METHODS This study included 6358 subjects (872 cases, 5486 controls) from the Korean population GWAS data. We extracted the lists of SNPs at each p value threshold of the association statistics from three different previously reported ethnical-specific GWASs. The Korean GWAS data were divided into training (64%), validation (16%) and test (20%) sets, and a stratified K-fold cross-validation was performed and repeated five times after data shuffling. RESULTS The CNN-GWAS predictive power for AF had an area under the curve (AUC) of 0.78±0.01 based on the Japanese GWAS, AUC of 0.79±0.01 based on the European GWAS, and AUC of 0.82±0.01 based on the multiethnic GWAS, respectively. Gradient-weighted class activation mapping assigned high saliency scores for AF associated SNPs, and the PITX2 obtained the highest saliency score. The CNN-GWAS did not show AF prediction power by SNPs with non-significant p value subset (AUC 0.56±0.01) despite larger numbers of SNPs. The CNN-GWAS had no prediction power for odd-even registration numbers (AUC 0.51±0.01). CONCLUSIONS AF can be predicted by genetic information alone with moderate accuracy. The CNN-GWAS can be a robust and useful tool for detecting polygenic diseases by capturing the cumulative effects and genetic interactions of moderately associated but statistically significant SNPs. TRIAL REGISTRATION NUMBER NCT02138695.
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Affiliation(s)
- Oh-Seok Kwon
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Myunghee Hong
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Tae-Hoon Kim
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Inseok Hwang
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Jaemin Shim
- Cardiovascular Center, Korea University Medical Center, Seoul, Korea (the Republic of)
| | - Eue-Keun Choi
- Cardiology, Seoul National University, Seoul, Korea (the Republic of)
| | - Hong Euy Lim
- Cardiology, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do, Korea (the Republic of)
| | - Hee Tae Yu
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Jae-Sun Uhm
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Boyoung Joung
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Seil Oh
- Cardiology, Seoul National University, Seoul, Korea (the Republic of)
| | - Moon-Hyoung Lee
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
| | - Young-Hoon Kim
- Cardiovascular Center, Korea University Medical Center, Seoul, Korea (the Republic of)
| | - Hui-Nam Pak
- Cardiology, Yonsei University Health System, Seodaemun-gu, Seoul, Korea (the Republic of)
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Sagris M, Vardas EP, Theofilis P, Antonopoulos AS, Oikonomou E, Tousoulis D. Atrial Fibrillation: Pathogenesis, Predisposing Factors, and Genetics. Int J Mol Sci 2021; 23:ijms23010006. [PMID: 35008432 PMCID: PMC8744894 DOI: 10.3390/ijms23010006] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/07/2021] [Accepted: 12/15/2021] [Indexed: 02/07/2023] Open
Abstract
Atrial fibrillation (AF) is the most frequent arrhythmia managed in clinical practice, and it is linked to an increased risk of death, stroke, and peripheral embolism. The Global Burden of Disease shows that the estimated prevalence of AF is up to 33.5 million patients. So far, successful therapeutic techniques have been implemented, with a high health-care cost burden. As a result, identifying modifiable risk factors for AF and suitable preventive measures may play a significant role in enhancing community health and lowering health-care system expenditures. Several mechanisms, including electrical and structural remodeling of atrial tissue, have been proposed to contribute to the development of AF. This review article discusses the predisposing factors in AF including the different pathogenic mechanisms, sedentary lifestyle, and dietary habits, as well as the potential genetic burden.
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Affiliation(s)
- Marios Sagris
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
- Correspondence: ; Tel.: +30-213-2088099; Fax: +30-213-2088676
| | - Emmanouil P. Vardas
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
- Department of Cardiology, General Hospital of Athens “G. Gennimatas”, 11527 Athens, Greece
| | - Panagiotis Theofilis
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
| | - Alexios S. Antonopoulos
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
| | - Evangelos Oikonomou
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
- 3rd Department of Cardiology, “Sotiria” Thoracic Diseases Hospital of Athens, University of Athens Medical School, 11527 Athens, Greece
| | - Dimitris Tousoulis
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.P.V.); (P.T.); (A.S.A.); (E.O.); (D.T.)
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Koniari I, Artopoulou E, Velissaris D, Ainslie M, Mplani V, Karavasili G, Kounis N, Tsigkas G. Biomarkers in the clinical management of patients with atrial fibrillation and heart failure. J Geriatr Cardiol 2021; 18:908-951. [PMID: 34908928 PMCID: PMC8648548 DOI: 10.11909/j.issn.1671-5411.2021.11.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Atrial fibrillation (AF) and heart failure (HF) are two cardiovascular diseases with an increasing prevalence worldwide. These conditions share common pathophysiologiesand frequently co-exit. In fact, the occurrence of either condition can 'cause' the development of the other, creating a new patient group that demands different management strategies to that if they occur in isolation. Regardless of the temproral association of the two conditions, their presence is linked with adverse cardiovascular outcomes, increased rate of hospitalizations, and increased economic burden on healthcare systems. The use of low-cost, easily accessible and applicable biomarkers may hasten the correct diagnosis and the effective treatment of AF and HF. Both AF and HF effect multiple physiological pathways and thus a great number of biomarkers can be measured that potentially give the clinician important diagnostic and prognostic information. These will then guide patient centred therapeutic management. The current biomarkers that offer potential for guiding therapy, focus on the physiological pathways of miRNA, myocardial stretch and injury, oxidative stress, inflammation, fibrosis, coagulation and renal impairment. Each of these has different utility in current clinincal practice.
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Affiliation(s)
- Ioanna Koniari
- Manchester Heart Institute, Manchester University Foundation Trust, Manchester, United Kingdom
| | - Eleni Artopoulou
- Department of Internal Medicine, University Hospital of Patras, Patras, Greece
| | | | - Mark Ainslie
- Manchester Heart Institute, Manchester University Foundation Trust, Manchester, United Kingdom
- Division of Cardiovascular Sciences, University of Manchester
| | - Virginia Mplani
- Department of Cardiology, University Hospital of Patras, Patras, Greece
| | - Georgia Karavasili
- Manchester Heart Institute, Manchester University Foundation Trust, Manchester, United Kingdom
| | - Nicholas Kounis
- Department of Cardiology, University Hospital of Patras, Patras, Greece
| | - Grigorios Tsigkas
- Department of Cardiology, University Hospital of Patras, Patras, Greece
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Linz D, Verheule S, Isaacs A, Schotten U. Considerations for the Assessment of Substrates, Genetics and Risk Factors in Patients with Atrial Fibrillation. Arrhythm Electrophysiol Rev 2021; 10:132-139. [PMID: 34777816 PMCID: PMC8576487 DOI: 10.15420/aer.2020.51] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/16/2021] [Indexed: 12/25/2022] Open
Abstract
Successful translation of research focussing on atrial arrhythmogenic mechanisms has potential to provide a mechanism-tailored classification and to support personalised treatment approaches in patients with AF. The clinical uptake and clinical implementation of new diagnostic techniques and treatment strategies require translational research approaches on various levels. Diagnostic translation involves the development of clinical diagnostic tools. Additionally, multidisciplinary teams are required for collaborative translation to describe genetic mechanisms, molecular pathways, electrophysiological characteristics and concomitant risk factors. In this article, current approaches for AF substrate characterisation, analysis of genes potentially involved in AF and strategies for AF risk factor assessment are summarised. The authors discuss challenges and obstacles to clinical translation and implementation into clinical practice.
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Affiliation(s)
- Dominik Linz
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University and Maastricht University Medical Center+, Maastricht, the Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Sander Verheule
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Aaron Isaacs
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ulrich Schotten
- Department of Physiology, Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
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39
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Chaulin AM, Duplyakov DV. Microrna: the role in the pathophysiology of atrial fibrillation and potential use as a biomarker. BULLETIN OF SIBERIAN MEDICINE 2021. [DOI: 10.20538/1682-0363-2021-3-203-212] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
Abstract
The aim of the study was to analyze medical literature on the role of microRNA in the pathophysiology of atrial fibrillation and the possibilities of using microRNAs as biomarkers.The analysis of modern medical literature was carried out using the PubMed – NCBI database.Atrial fibrillation (AF) is a common and serious cardiovascular disease. The pathophysiological mechanisms underlying the development of atrial fibrillation are not entirely clear. In addition, there are no optimal biomarkers for early detection and assessment of the prognosis for patients with atrial fibrillation. Recently, the attention of researchers has been directed to the molecules of microRNA. There is a lot of evidence that they are involved in the pathogenesis of neurological, oncological, and cardiovascular diseases. This review examines the role of microRNAs in the pathophysiology of atrial fibrillation. The possibility of using microRNA as a biomarker for the diagnosis and prediction of atrial fibrillation is also discussed.MicroRNAs play a crucial role in the pathophysiology of atrial fibrillation, regulating the mechanisms of atrial remodeling, such as electrical remodeling, structural remodeling, remodeling of the autonomic nervous system, and impaired regulation of calcium levels. The stability of microRNAs and the possibility to study them in various biological fluids and tissues, including blood, make these molecules a promising diagnostic biomarker for various cardiovascular diseases. The presented data clearly indicate that AF is associated with changes in the expression level of various microRNAs, which can be quantified using a polymerase chain reaction. Further research is required to assess the role of microRNAs as biomarkers for atrial fibrillation, in particular to establish precise reference limits.
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Hong M, Ebana Y, Shim J, Choi EK, Lim HE, Hwang I, Yu HT, Kim TH, Uhm JS, Joung B, Oh S, Lee MH, Kim YH, Jee SH, Pak HN. Ethnic similarities in genetic polymorphisms associated with atrial fibrillation: Far East Asian vs European populations. Eur J Clin Invest 2021; 51:e13584. [PMID: 33990960 DOI: 10.1111/eci.13584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 04/09/2021] [Accepted: 04/25/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND In European ancestry, 111 genetic loci were identified as associated with atrial fibrillation (AF). We explored the reproducibility of those single nucleotide polymorphisms (SNPs) in a genome-wide association study (GWAS) meta-analysis of Far East Asian populations. METHODS We performed a meta-analysis of the Korean AF network and Japanese AF data sets (9118 cases and 33 467 controls) by an inverse-variance fixed-effects model. We compared the results with 111 previously reported SNPs proven in Europeans after excluding 36 missing loci and a locus with a minor allelic frequency (MAF) < 0.01 in the European population. RESULTS Among remaining 74 loci, 29 loci were replicated at a P < .05, and 17 of those loci were newly found in the Far East Asian population: 3 loci with a P < 5×10-8 (METTL11B at 1q24, KCNN2 at 5q22 and LRMDA at 10q22), 4 loci at the threshold of the Bonferroni correction of P = 4.5 × 10-4 ~ 5×10-8 (KIF3C at 2p23, REEP3, NRBF2 at 10q21, SIRT1, MYPN at 10q21 and CFL2 at 14q13) and 10 SNPs with a P = .05 ~ 4.5 × 10-4 . Among 18 AF loci with a MAF< 0.01 in the Far East Asian populations, 2 loci (GATA4 at 8q23 and SGCG at 13q12) were replicated after a fine mapping. Twenty-seven AF loci, including a locus, which had a sufficient sample size to get a power of over 80% (with a type 1 error α = 4.5 × 10-4 ), were not replicated in the Far East Asian populations. CONCLUSIONS We newly replicated 19 AF-associated genetic loci in the European descent among the Far East Asian populations. It highlights the extensive sharing of AF genetic risks across Far East Asian populations.
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Affiliation(s)
- Myunghee Hong
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Yusuke Ebana
- Life Science and Bioethics Research Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jaemin Shim
- Division of Cardiology, Korea University Cardiovascular Center, Seoul, Korea
| | - Eue-Keun Choi
- Division of Cardiology, Seoul National University Hospital, Seoul, Korea
| | - Hong Euy Lim
- Division of Cardiology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Inseok Hwang
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Hee Tae Yu
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Tae-Hoon Kim
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Jae-Sun Uhm
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Boyoung Joung
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Seil Oh
- Division of Cardiology, Seoul National University Hospital, Seoul, Korea
| | - Moon-Hyoung Lee
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
| | - Young-Hoon Kim
- Division of Cardiology, Korea University Cardiovascular Center, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea
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Glinge C, Lahrouchi N, Jabbari R, Tfelt-Hansen J, Bezzina CR. Genome-wide association studies of cardiac electrical phenotypes. Cardiovasc Res 2021; 116:1620-1634. [PMID: 32428210 PMCID: PMC7341169 DOI: 10.1093/cvr/cvaa144] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/24/2020] [Accepted: 05/14/2020] [Indexed: 12/19/2022] Open
Abstract
The genetic basis of cardiac electrical phenotypes has in the last 25 years been the subject of intense investigation. While in the first years, such efforts were dominated by the study of familial arrhythmia syndromes, in recent years, large consortia of investigators have successfully pursued genome-wide association studies (GWAS) for the identification of single-nucleotide polymorphisms that govern inter-individual variability in electrocardiographic parameters in the general population. We here provide a review of GWAS conducted on cardiac electrical phenotypes in the last 14 years and discuss the implications of these discoveries for our understanding of the genetic basis of disease susceptibility and variability in disease severity. Furthermore, we review functional follow-up studies that have been conducted on GWAS loci associated with cardiac electrical phenotypes and highlight the challenges and opportunities offered by such studies.
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Affiliation(s)
- Charlotte Glinge
- Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.,Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark
| | - Najim Lahrouchi
- Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Reza Jabbari
- Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark
| | - Jacob Tfelt-Hansen
- Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark.,Department of Forensic Medicine, Faculty of Medical Sciences, University of Copenhagen, Frederik V's Vej, 2100 Copenhagen, Denmark
| | - Connie R Bezzina
- Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
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Kornej J, Hanger VA, Trinquart L, Ko D, Preis SR, Benjamin EJ, Lin H. New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation. Cardiovasc Res 2021; 117:1632-1644. [PMID: 33751041 PMCID: PMC8208748 DOI: 10.1093/cvr/cvab073] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 02/07/2021] [Accepted: 03/03/2021] [Indexed: 12/13/2022] Open
Abstract
Atrial fibrillation (AF) is a common cardiac arrhythmia leading to many adverse outcomes and increased mortality. Yet the molecular mechanisms underlying AF remain largely unknown. Recent advances in high-throughput technologies make large-scale molecular profiling possible. In the past decade, multiomics studies of AF have identified a number of potential biomarkers of AF. In this review, we focus on the studies of multiomics profiles with AF risk. We summarize recent advances in the discovery of novel biomarkers for AF through multiomics studies. We also discuss limitations and future directions in risk assessment and discovery of therapeutic targets for AF.
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Affiliation(s)
- Jelena Kornej
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA 01702, USA
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Ludovic Trinquart
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Darae Ko
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Sarah R Preis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Emelia J Benjamin
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA 01702, USA
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Section of Preventive Medicine & Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Honghuang Lin
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA 01702, USA
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
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Bosada FM, Rivaud MR, Uhm JS, Verheule S, van Duijvenboden K, Verkerk AO, Christoffels VM, Boukens BJ. A Variant Noncoding Region Regulates Prrx1 and Predisposes to Atrial Arrhythmias. Circ Res 2021; 129:420-434. [PMID: 34092116 DOI: 10.1161/circresaha.121.319146] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Fernanda M Bosada
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Mathilde R Rivaud
- Department of Experimental Cardiology (M.R.R., A.O.V., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Jae-Sun Uhm
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands.,Department of Cardiology, Severance Hospital, College of Medicine, Yonsei University, Seoul, South Korea (J.-S.U.)
| | - Sander Verheule
- Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands (S.V.)
| | - Karel van Duijvenboden
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Arie O Verkerk
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands.,Department of Experimental Cardiology (M.R.R., A.O.V., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Vincent M Christoffels
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Bastiaan J Boukens
- Department of Medical Biology (F.M.B., J.-S.U., K.v.D., A.O.V., V.M.C., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands.,Department of Experimental Cardiology (M.R.R., A.O.V., B.J.B.), Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
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Xia J, Guo C, Liu K, Xie Y, Cao H, Peng W, Sun Y, Liu X, Li B, Zhang L. Association of Lipoprotein (a) variants with risk of cardiovascular disease: a Mendelian randomization study. Lipids Health Dis 2021; 20:57. [PMID: 34074296 PMCID: PMC8170931 DOI: 10.1186/s12944-021-01482-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/17/2021] [Indexed: 11/15/2022] Open
Abstract
Background There is a well-documented empirical relationship between lipoprotein (a) [Lp(a)] and cardiovascular disease (CVD); however, causal evidence, especially from the Chinese population, is lacking. Therefore, this study aims to estimate the causal association between variants in genes affecting Lp(a) concentrations and CVD in people of Han Chinese ethnicity. Methods Two-sample Mendelian randomization analysis was used to assess the causal effect of Lp(a) concentrations on the risk of CVD. Summary statistics for Lp(a) variants were obtained from 1256 individuals in the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei. Data on associations between single-nucleotide polymorphisms (SNPs) and CVD were obtained from recently published genome-wide association studies. Results Thirteen SNPs associated with Lp(a) levels in the Han Chinese population were used as instrumental variables. Genetically elevated Lp(a) was inversely associated with the risk of atrial fibrillation [odds ratio (OR), 0.94; 95% confidence interval (95%CI), 0.901–0.987; P = 0.012)], the risk of arrhythmia (OR, 0.96; 95%CI, 0.941–0.990; P = 0.005), the left ventricular mass index (OR, 0.97; 95%CI, 0.949–1.000; P = 0.048), and the left ventricular internal dimension in diastole (OR, 0.97; 95%CI, 0.950–0.997; P = 0.028) according to the inverse-variance weighted method. No significant association was observed for congestive heart failure (OR, 0.99; 95% CI, 0.950–1.038; P = 0.766), ischemic stroke (OR, 1.01; 95%CI, 0.981–1.046; P = 0.422), and left ventricular internal dimension in systole (OR, 0.98; 95%CI, 0.960–1.009; P = 0.214). Conclusions This study provided evidence that genetically elevated Lp(a) was inversely associated with atrial fibrillation, arrhythmia, the left ventricular mass index and the left ventricular internal dimension in diastole, but not with congestive heart failure, ischemic stroke, and the left ventricular internal dimension in systole in the Han Chinese population. Further research is needed to identify the mechanism underlying these results and determine whether genetically elevated Lp(a) increases the risk of coronary heart disease or other CVD subtypes. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01482-0.
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Affiliation(s)
- Juan Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, No 10 Xitoutiao, You'anmenwai, Fengtai, Beijing, 100069, P. R. China.
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Huang J, Yang M, Liu Z, Li X, Wang J, Fu N, Cao T, Yang X. PPFIA4 Promotes Colon Cancer Cell Proliferation and Migration by Enhancing Tumor Glycolysis. Front Oncol 2021; 11:653200. [PMID: 34094943 PMCID: PMC8173052 DOI: 10.3389/fonc.2021.653200] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/27/2021] [Indexed: 12/22/2022] Open
Abstract
Dysregulated glycolysis is one of the mechanisms employed by cancer cells to facilitate growth and metastasis. Here we aimed to characterize the PPFIA4 gene, as a glycolysis-related oncogene in promoting the proliferation and migration of colon cancer cells. Using bioinformatical tools including The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA), we found that PPFIA4 expression and methylation levels were higher in colon cancer tissues of different stages than in normal tissues. Higher PPFIA4 level was also positively correlated with poorer survival of patients. PPFIA4 upregulation also correlated with poor prognosis and higher clinical stages of colon cancer patients. Colon cancer cell viability, migration and migration were enhanced after PPFIA4 overexpression. EMT markers and glycolysis were upregulated after PPFIA4 overexpression. PPFIA4 expression was found to be positively correlated with PFKFB3 and ENO2 levels, while knockdown of PFKFB3 and ENO2 reduced cell proliferation, migration, invasion and glycolysis. PPFIA4 upregulation is a potential biomarker in colon cancer which promotes proliferation, migration, invasion and glycolysis. The upregulation of PFKFB3/ENO2 signaling by PPFIA4 is a potential mechanism underlying the oncogenic effects of PPFIA4.
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Affiliation(s)
- Jia Huang
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Meiling Yang
- Department of Oncology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Zhaoxia Liu
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Xiaoqian Li
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Junfeng Wang
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Nian Fu
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Ting Cao
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
| | - Xuefeng Yang
- Department of Gastroenterology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China, Hengyang, China
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Hwang I, Jin Z, Park JW, Kwon OS, Lim B, Hong M, Kim M, Yu HT, Kim TH, Uhm JS, Joung B, Lee MH, Pak HN. Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype. Front Physiol 2021; 12:650449. [PMID: 34054570 PMCID: PMC8155488 DOI: 10.3389/fphys.2021.650449] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/22/2021] [Indexed: 01/11/2023] Open
Abstract
Background: The efficacy of antiarrhythmic drugs (AAD) can vary in patients with atrial fibrillation (AF), and the PITX2 gene affects the responsiveness of AADs. We explored the virtual AAD (V-AAD) responses between wild-type and PITX2 +/--deficient AF conditions by realistic in silico AF modeling. Methods: We tested the V-AADs in AF modeling integrated with patients' 3D-computed tomography and 3D-electroanatomical mapping, acquired in 25 patients (68% male, 59.8 ± 9.8 years old, 32.0% paroxysmal type). The ion currents for the PITX2 +/- deficiency and each AAD (amiodarone, sotalol, dronedarone, flecainide, and propafenone) were defined based on previous publications. Results: We compared the wild-type and PITX2 +/- deficiency in terms of the action potential duration (APD90), conduction velocity (CV), maximal slope of restitution (Smax), and wave-dynamic parameters, such as the dominant frequency (DF), phase singularities (PS), and AF termination rates according to the V-AADs. The PITX2 +/--deficient model exhibited a shorter APD90 (p < 0.001), a lower Smax (p < 0.001), mean DF (p = 0.012), PS number (p < 0.001), and a longer AF cycle length (AFCL, p = 0.011). Five V-AADs changed the electrophysiology in a dose-dependent manner. AAD-induced AFCL lengthening (p < 0.001) and reductions in the CV (p = 0.033), peak DF (p < 0.001), and PS number (p < 0.001) were more significant in PITX2 +/--deficient than wild-type AF. PITX2 +/--deficient AF was easier to terminate with class IC AADs than the wild-type AF (p = 0.018). Conclusions: The computational modeling-guided AAD test was feasible for evaluating the efficacy of multiple AADs in patients with AF. AF wave-dynamic and electrophysiological characteristics are different among the PITX2-deficient and the wild-type genotype models.
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Kany S, Reissmann B, Metzner A, Kirchhof P, Darbar D, Schnabel RB. Genetics of atrial fibrillation-practical applications for clinical management: if not now, when and how? Cardiovasc Res 2021; 117:1718-1731. [PMID: 33982075 PMCID: PMC8208749 DOI: 10.1093/cvr/cvab153] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
The prevalence and economic burden of atrial fibrillation (AF) are predicted to more than double over the next few decades. In addition to anticoagulation and treatment of concomitant cardiovascular conditions, early and standardized rhythm control therapy reduces cardiovascular outcomes as compared with a rate control approach, favouring the restoration, and maintenance of sinus rhythm safely. Current therapies for rhythm control of AF include antiarrhythmic drugs (AADs) and catheter ablation (CA). However, response in an individual patient is highly variable with some remaining free of AF for long periods on antiarrhythmic therapy, while others require repeat AF ablation within weeks. The limited success of rhythm control therapy for AF is in part related to incomplete understanding of the pathophysiological mechanisms and our inability to predict responses in individual patients. Thus, a major knowledge gap is predicting which patients with AF are likely to respond to rhythm control approach. Over the last decade, tremendous progress has been made in defining the genetic architecture of AF with the identification of rare mutations in cardiac ion channels, signalling molecules, and myocardial structural proteins associated with familial (early-onset) AF. Conversely, genome-wide association studies have identified common variants at over 100 genetic loci and the development of polygenic risk scores has identified high-risk individuals. Although retrospective studies suggest that response to AADs and CA is modulated in part by common genetic variation, the development of a comprehensive clinical and genetic risk score may enable the translation of genetic data to the bedside care of AF patients. Given the economic impact of the AF epidemic, even small changes in therapeutic efficacy may lead to substantial improvements for patients and health care systems.
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Affiliation(s)
- Shinwan Kany
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Bruno Reissmann
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Andreas Metzner
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,The Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston Birmingham B15 2TT, UK
| | - Dawood Darbar
- Division of Cardiology, Departments of Medicine, University of Illinois at Chicago and Jesse Brown Veterans Administration, 840 South Wood Street, Suite 928 M/C 715, Chicago, IL 60612, USA
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
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Abstract
PURPOSE OF REVIEW Atrial fibrillation is the most common sustained cardiac arrhythmia. In addition to traditional risk factors, it is increasingly recognized that a genetic component underlies atrial fibrillation development. This review aims to provide an overview of the genetic cause of atrial fibrillation and clinical applications, with a focus on recent developments. RECENT FINDINGS Genome-wide association studies have now identified around 140 genetic loci associated with atrial fibrillation. Studies into the effects of several loci and their tentative gene targets have identified novel pathways associated with atrial fibrillation development. However, further validations of causality are still needed for many implicated genes. Genetic variants at identified loci also help predict individual atrial fibrillation risk and response to different therapies. SUMMARY Continued advances in the field of genetics and molecular biology have led to significant insight into the genetic underpinnings of atrial fibrillation. Potential clinical applications of these studies include the identification of new therapeutic targets and development of genetic risk scores to optimize management of this common cardiac arrhythmia.
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Affiliation(s)
- Jitae A. Kim
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Mihail G. Chelu
- Department of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Na Li
- Department of Medicine (Section of Cardiovascular Research), Baylor College of Medicine, Houston, TX
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX
- Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX
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Bhattacharyya U, Deshpande SN, Bhatia T, Thelma BK. Revisiting Schizophrenia from an Evolutionary Perspective: An Association Study of Recent Evolutionary Markers and Schizophrenia. Schizophr Bull 2021; 47:827-836. [PMID: 33350444 PMCID: PMC8759809 DOI: 10.1093/schbul/sbaa179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The persistence of schizophrenia in human populations at a high prevalence and with a large heritability estimate despite reduced fertility and increased mortality rate is a Darwinian paradox. This may be likely if the genomic components that predispose to schizophrenia are also advantageous for the acquisition of important human traits, such as language and cognition. Accordingly, an emerging group of genomic markers of recent evolution in humans, namely human accelerated regions (HARs), since our divergence from chimpanzees, are gaining importance for neurodevelopmental disorders, such as schizophrenia. We hypothesize that variants within HARs may affect the expression of genes under their control, thus contributing to disease etiology. A total of 49 HAR single nucleotide polymorphisms (SNPs) were prioritized from the complete repertoire of HARs (n = 2737) based on their functional relevance and prevalence in the South Asian population. Test of association using 2 independent schizophrenia case-control cohorts of north Indian ethnicity (discovery: n = 930; replication: n = 1104) revealed 3 SNPs (rs3800926, rs3801844, and rs764453) from chromosome 7 and rs77047799 from chromosome 3 to be significantly associated (combined analysis: Bonferroni corrected P < .002-.000004). Of note, these SNPs were found to alter the expression of neurodevelopmental genes such as SLC25A13, MAD1L1, and ULK4; a few from the HOX gene family; and a few genes that are implicated in mitochondrial function. These SNPs may most likely alter binding sites of transcription factors, including TFCP2, MAFK, SREBF2, E2F1, and/or methylation signatures around these genes. These findings reiterate a neurodevelopmental basis of schizophrenia and also open up a promising avenue to investigate HAR-mediated mitochondrial dysfunction in schizophrenia etiology.
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Affiliation(s)
| | | | | | - B K Thelma
- Department of Genetics, University of Delhi South Campus, New Delhi, India
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Ferguson C, Lowres N, Freedman B. Stroke Risk in Adults With Atrial Fibrillation According to Sex. Heart Lung Circ 2021; 30:937-938. [PMID: 33896707 DOI: 10.1016/j.hlc.2021.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Caleb Ferguson
- Western Sydney Nursing & Midwifery Research Centre, Western Sydney Local Health District & Western Sydney University, Blacktown Clinical & Research School, Blacktown Hospital, Sydney, NSW, Australia.
| | - Nicole Lowres
- Heart Research Institute, Sydney, NSW, Australia; Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Ben Freedman
- Heart Research Institute, Sydney, NSW, Australia; Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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