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35 results on '"Xing, Heming"'

1. The role of OX40L/OX40 axis signalling in atopic dermatitis

Author

Guttman-Yassky, Emma, primary, Croft, Michael, additional, Geng, Bob, additional, Rynkiewicz, Natalie, additional, Lucchesi, Davide, additional, Peakman, Mark, additional, van Krinks, Cassandra, additional, Valdecantos, Wendell, additional, Xing, Heming, additional, and Weidinger, Stephan, additional

Published
2024
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2. The role of OX40 ligand/OX40 axis signalling in atopic dermatitis.

Author

Guttman-Yassky, Emma, Croft, Michael, Geng, Bob, Rynkiewicz, Natalie, Lucchesi, Davide, Peakman, Mark, Krinks, Cassandra van, Valdecantos, Wendell, Xing, Heming, and Weidinger, Stephan

Subjects
IMMUNE checkpoint proteins, CELLULAR recognition, IMMUNOLOGIC memory, ATOPIC dermatitis, T cells
Abstract

Atopic dermatitis (AD) is a heterogeneous inflammatory condition involving multiple immune pathways mediated by pathogenic T cells. OX40 ligand (OX40L) and OX40 are costimulatory immune checkpoint molecules that regulate effector and memory T-cell activity and promote sustained immune responses in multiple immunological pathways, including T helper (Th)2, Th1, Th17 and Th22. As such, OX40L/OX40 signalling between antigen-presenting cells (APCs) and activated T cells postantigen recognition promotes pathogenic T-cell proliferation and survival. Under inflammatory conditions, OX40L is upregulated on APCs, enhancing the magnitude of antigen-specific T-cell responses and secretion of proinflammatory cytokines. In AD, OX40L/OX40 signalling contributes to the amplification and chronic persistence of T-cell-mediated inflammation. Recent therapeutic success in clinical trials has highlighted the importance of the OX40L/OX40 axis as a promising target for the treatment of AD. Here, we discuss the many factors that are involved in the expression of OX40L and OX40, including the cytokine milieu, antigen presentation, the inflammatory environment in AD, and the therapeutic direction influenced by this costimulatory pathway. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Bayesian Network Inference Modeling Identifies TRIB1 as a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells

Author

Gendelman, Rina, Xing, Heming, Mirzoeva, Olga K, Sarde, Preeti, Curtis, Christina, Feiler, Heidi S, McDonagh, Paul, Gray, Joe W, Khalil, Iya, and Korn, W Michael

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biological Sciences, Breast Cancer, Genetics, Cancer, Women's Health, 2.1 Biological and endogenous factors, Bayes Theorem, Breast Neoplasms, Cell Cycle, Cell Line, Tumor, Cell Survival, Cyclin D1, Female, Humans, Intracellular Signaling Peptides and Proteins, Mitogen-Activated Protein Kinase Kinases, NF-kappa B, Phosphatidylinositol 3-Kinases, Promoter Regions, Genetic, Protein Serine-Threonine Kinases, Proto-Oncogene Proteins c-akt, Signal Transduction, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

Molecular networks governing responses to targeted therapies in cancer cells are complex dynamic systems that demonstrate nonintuitive behaviors. We applied a novel computational strategy to infer probabilistic causal relationships between network components based on gene expression. We constructed a model comprised of an ensemble of networks using multidimensional data from cell line models of cell-cycle arrest caused by inhibition of MEK1/2. Through simulation of a reverse-engineered Bayesian network model, we generated predictions of G1-S transition. The model identified known components of the cell-cycle machinery, such as CCND1, CCNE2, and CDC25A, as well as revealed novel regulators of G1-S transition, IER2, TRIB1, TRIM27. Experimental validation of model predictions confirmed 10 of 12 predicted genes to have a role in G1-S progression. Further analysis showed that TRIB1 regulated the cyclin D1 promoter via NFκB and AP-1 sites and sensitized cells to TRAIL-induced apoptosis. In clinical specimens of breast cancer, TRIB1 levels correlated with expression of NFκB and its target genes (IL8, CSF2), and TRIB1 copy number and expression were predictive of clinical outcome. Together, our results establish a critical role of TRIB1 in cell cycle and survival that is mediated via the modulation of NFκB signaling. Cancer Res; 77(7); 1575-85. ©2017 AACR.

Published
2017

4. Robustness Evaluation of Negative Stiffness Damper for Cable Vibration Mitigation Based on Interval Model with Experimental Validation.

Author

Shi, Xiang, Wei, Xiaolin, Li, Jin-Yang, Xing, Heming, Cai, Qinlin, and Yuen, Ka-Veng

Subjects
CABLE structures, MODEL validation, CABLES, CONFIDENCE, SIMPLICITY
Abstract

The negative stiffness damper (NSD) has emerged as a promising passive vibration control device for cable structures due to its simplicity and effectiveness. However, uncertainties stemming from both internal and external environmental factors can potentially compromise the NSD's performance in real‐world applications, posing risks to cable safety. In response, this paper conducts a robustness evaluation on an integrated cable‐NSD system, taking into account various potential uncertainties. Specifically, the uncertain parameters are described by interval variables. Consequently, an interval model is constructed to delineate the boundaries of cable dynamic responses when subjected to these uncertainties. The model's accuracy is validated against experimental results. Subsequent simulations involve assessing interval responses for both single‐ and multimode cable vibrations under varying uncertainties. Finally, the NSD's robustness concerning cable vibration control is evaluated using the model, which incorporates the first‐passage theory. This analysis delves into the relationships among confidence levels, performance measures, and the variation range of uncertainties. The results indicate that for single‐mode vibration control, there is a 90% confidence level that the damping ratio reduction remains within 10%. As for multimode vibration control, a 90% confidence level is established that the amplification falls within 17%. [ABSTRACT FROM AUTHOR]

Published
2024
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5. IL-33 Expression Is Lower in Current Smokers at both Transcriptomic and Protein Levels

Author

Faiz, Alen, primary, Mahbub, Rashad M., additional, Boedijono, Fia Sabrina, additional, Tomassen, Milan I., additional, Kooistra, Wierd, additional, Timens, Wim, additional, Nawijn, Martijn, additional, Hansbro, Philip M., additional, Johansen, Matt D., additional, Pouwels, Simon D., additional, Heijink, Irene H., additional, Massip, Florian, additional, de Biase, Maria Stella, additional, Schwarz, Roland F., additional, Adcock, Ian M., additional, Chung, Kian F., additional, van der Does, Anne, additional, Hiemstra, Pieter S., additional, Goulaouic, Helene, additional, Xing, Heming, additional, Abdulai, Raolat, additional, de Rinaldis, Emanuele, additional, Cunoosamy, Danen, additional, Harel, Sivan, additional, Lederer, David, additional, Nivens, Michael C., additional, Wark, Peter A., additional, Kerstjens, Huib A. M., additional, Hylkema, Machteld N., additional, Brandsma, Corry-Anke, additional, and van den Berge, Maarten, additional

Published
2023
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10. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author

Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjornsson, Gardar, Fatemifar, Ghazaleh, Hedman, Asa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Arnlov, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Doerr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engstrom, Gunnar, Esko, Tonu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Gudbjartsson, Daniel F, Gutmann, Rebecca, Haggerty, Christopher M, van der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Kober, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, Maerz, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, Stott, David J, Svensson, Per, Tammesoo, Mari-Liis, Taylor, Kent D, Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tyl, Benoit, Uitterlinden, Andre G, Veluchamy, Abirami, Voelker, Uwe, Voors, Adriaan A, Wang, Xiaosong, Wareham, Nicholas J, Waterworth, Dawn, Weeke, Peter E, Weiss, Raul, Wiggins, Kerri L, Xing, Heming, Yerges-Armstrong, Laura M, Yu, Bing, Zannad, Faiez, Zhao, Jing Hua, Hemingway, Harry, Samani, Nilesh J, McMurray, John JV, Yang, Jian, Visscher, Peter M, Newton-Cheh, Christopher, Malarstig, Anders, Holm, Hilma, Lubitz, Steven A, Sattar, Naveed, Holmes, Michael V, Cappola, Thomas P, Asselbergs, Folkert W, Hingorani, Aroon D, Kuchenbaecker, Karoline, Ellinor, Patrick T, Lang, Chim C, Stefansson, Kari, Smith, J Gustav, Vasan, Ramachandran S, Swerdlow, Daniel I, Lumbers, R Thomas, Abecasis, Goncalo, Backman, Joshua, Bai, Xiaodong, Balasubramanian, Suganthi, Banerjee, Nilanjana, Baras, Aris, Barnard, Leland, Beechert, Christina, Blumenfeld, Andrew, Cantor, Michael, Chai, Yating, Coppola, Giovanni, Damask, Amy, Dewey, Frederick, Economides, Aris, Eom, Gisu, Forsythe, Caitlin, Fuller, Erin D, Gu, Zhenhua, Gurski, Lauren, Guzzardo, Paloma M, Habegger, Lukas, Hahn, Young, Hawes, Alicia, van Hout, Cristopher, Jones, Marcus B, Khalid, Shareef, Lattari, Michael, Li, Alexander, Lin, Nan, Liu, Daren, Lopez, Alexander, Manoochehri, Kia, Marchini, Jonathan, Marcketta, Anthony, Maxwell, Evan K, McCarthy, Shane, Mitnaul, Lyndon J, O'Dushlaine, Colm, Overton, John D, Padilla, Maria Sotiropoulos, Paulding, Charles, Penn, John, Pradhan, Manasi, Reid, Jeffrey G, Schleicher, Thomas D, Schurmann, Claudia, Shuldiner, Alan, Staples, Jeffrey C, Sun, Dylan, Toledo, Karina, Ulloa, Ricardo H, Widom, Louis, Wolf, Sarah E, Yadav, Ashish, Ye, Bin, Ctr, Regeneron Genetics, Shah, Sonia [0000-0001-5860-4526], Henry, Albert [0000-0001-7422-2288], Roselli, Carolina [0000-0001-5267-6756], Lin, Honghuang [0000-0003-3043-3942], Chaffin, Mark D. [0000-0002-1234-5562], Helgadottir, Anna [0000-0002-1806-2467], Verweij, Niek [0000-0002-4303-7685], Almgren, Peter [0000-0002-0473-0241], Chen, Xu [0000-0002-7299-3238], Ghanbari, Mohsen [0000-0002-9476-7143], Giedraitis, Vilmantas [0000-0003-3423-2021], Gross, Stefan [0000-0003-4121-7161], Guðbjartsson, Daníel F. [0000-0002-5222-9857], Hyde, Craig L. [0000-0002-6939-287X], Ingelsson, Erik [0000-0003-2256-6972], Jukema, J. Wouter [0000-0002-3246-8359], Kleber, Marcus E. [0000-0003-0663-7275], Koekemoer, Andrea [0000-0001-8222-3547], Langenberg, Claudia [0000-0002-5017-7344], Lindgren, Cecilia M. [0000-0002-4903-9374], Lovering, Ruth C. [0000-0002-9791-0064], Luan, Jian’an [0000-0003-3137-6337], Magnusson, Patrik [0000-0002-7315-7899], Mahajan, Anubha [0000-0001-5585-3420], Mordi, Ify R. [0000-0002-2686-729X], Morris, Andrew D. [0000-0002-1766-0473], Nagle, Michael W. [0000-0002-4677-7582], Nelson, Christopher P. [0000-0001-8025-2897], Palmer, Colin N. A. [0000-0002-6415-6560], Rice, Kenneth M. [0000-0002-3071-7278], Rotter, Jerome I. [0000-0001-7191-1723], Salomaa, Veikko [0000-0001-7563-5324], van Setten, Jessica [0000-0002-4934-7510], Svensson, Per [0000-0003-0372-6272], Taylor, Kent D. [0000-0002-2756-4370], Teder-Laving, Maris [0000-0002-5872-1850], Teumer, Alexander [0000-0002-8309-094X], Tyl, Benoit [0000-0001-5297-8412], Uitterlinden, Andre G. [0000-0002-7276-3387], Völker, Uwe [0000-0002-5689-3448], Wiggins, Kerri L. [0000-0003-2749-1279], Hemingway, Harry [0000-0003-2279-0624], Yang, Jian [0000-0003-2001-2474], Visscher, Peter M. [0000-0002-2143-8760], Lubitz, Steven A. [0000-0002-9599-4866], Sattar, Naveed [0000-0002-1604-2593], Cappola, Thomas P. [0000-0002-9630-7204], Asselbergs, Folkert W. [0000-0002-1692-8669], Kuchenbaecker, Karoline [0000-0001-9726-603X], Ellinor, Patrick T. [0000-0002-2067-0533], Vasan, Ramachandran S. [0000-0001-7357-5970], Lumbers, R. Thomas [0000-0002-9077-4741], Apollo - University of Cambridge Repository, Chaffin, Mark D [0000-0002-1234-5562], Guðbjartsson, Daníel F [0000-0002-5222-9857], Hyde, Craig L [0000-0002-6939-287X], Jukema, J Wouter [0000-0002-3246-8359], Kleber, Marcus E [0000-0003-0663-7275], Lindgren, Cecilia M [0000-0002-4903-9374], Lovering, Ruth C [0000-0002-9791-0064], Luan, Jian'an [0000-0003-3137-6337], Mordi, Ify R [0000-0002-2686-729X], Morris, Andrew D [0000-0002-1766-0473], Nagle, Michael W [0000-0002-4677-7582], Nelson, Christopher P [0000-0001-8025-2897], Palmer, Colin NA [0000-0002-6415-6560], Rice, Kenneth M [0000-0002-3071-7278], Rotter, Jerome I [0000-0001-7191-1723], Taylor, Kent D [0000-0002-2756-4370], Uitterlinden, Andre G [0000-0002-7276-3387], Wiggins, Kerri L [0000-0003-2749-1279], Visscher, Peter M [0000-0002-2143-8760], Lubitz, Steven A [0000-0002-9599-4866], Cappola, Thomas P [0000-0002-9630-7204], Asselbergs, Folkert W [0000-0002-1692-8669], Ellinor, Patrick T [0000-0002-2067-0533], Vasan, Ramachandran S [0000-0001-7357-5970], Lumbers, R Thomas [0000-0002-9077-4741], Palmer, Colin N A [0000-0002-6415-6560], Cardiovascular Centre (CVC), University of Queensland [Brisbane], University College of London [London] (UCL), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University Medical Center Groningen [Groningen] (UMCG), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), deCODE genetics [Reykjavik], Karolinska Institutet [Stockholm], Pfizer, University of Pennsylvania [Philadelphia], University of Groningen [Groningen], Imperial College London, Lund University [Lund], Herlev and Gentofte Hospital, Massachusetts General Hospital [Boston], Department of Neurobiology, Care Sciences and Society [Stockholm, Sweden] (Division of Family Medicine), Dalarna University, Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, Department of Biostatistics, University of Washington [Seattle], Emory University School of Medicine, Emory University [Atlanta, GA], The University of Texas Medical School at Houston, Department of Molecular and Functional Genomics, Geisinger, Danville, PA, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, Novartis Institutes for BioMedical Research (NIBR), University of Liverpool, Universität Heidelberg [Heidelberg], Medizinische Fakultät Mannheim, The Alan Turing Institute, Ninewells Hospital and Medical School [Dundee], Universität Greifswald - University of Greifswald, German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), University of Minnesota System, Regeneron Pharmaceuticals [Tarrytown], Department of Clinical Sciences, Cardiovascular Epidemiology, Skane University Hospital [Lund], Institute of Genomics [Tartu, Estonia], University of Tartu, Robertson Centre for Biostatistics, University of Glasgow, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Uppsala University, Brigham & Women’s Hospital [Boston] (BWH), University of Maryland School of Medicine, University of Maryland System, School of Science and Engineering (Reykjavik University), Carver College of Medicine, University of Iowa, Geisinger Health System [Danville, PA, USA], Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford Cardiovascular Institute, Uppsala Universitet [Uppsala], Leiden University Medical Center (LUMC), Einthoven Laboratory for Experimental Vascular Medicine (ELEVM - LEIDEN), Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Rigshospitalet [Copenhagen], Copenhagen University Hospital, Glenfield Hospital, University Hospitals Leicester, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Big Data Institute, University of Oxford [Oxford], University of Iowa [Iowa City], The Wellcome Trust Centre for Human Genetics [Oxford], Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Medical University Graz, Skane University Hospital [Malmo], Vanderbilt University School of Medicine [Nashville], University of Edinburgh, Université médicale de Vienne, Autriche, National Institute for Health and Welfare [Helsinki], University of Turku, Birmingham Women's and Children's NHS Foundation Trust, Kaiser Permanente, Harbor UCLA Medical Center [Torrance, Ca.], Los Angeles Biomedical Research Institute (LA BioMed), University Medical Center [Utrecht], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Seattle Epidemiologic Research and Information Center [Seattle], Institute of Cardiovascular and Medical Sciences [Glasgow], University of Glasgow, Department of Cardiology, Södersjukhuset, Stockholm, Estonian Genome and Medicine, Landspitali National University Hospital of Iceland, University of Iceland [Reykjavik], Aalborg University [Denmark] (AAU), Institut de Recherches SERVIER (IRS), Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-Universität Greifswald, GlaxoSmithKline, Glaxo Smith Kline, Northeastern Ohio Medical University (NEOMED), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, British Heart Foundation Glasgow Cardiovascular Research Centre (BHF GCRC), University of Glasgow-NHS Greater Glasgow and Clyde, Department of Cardiovascular Sciences [Leicester], University of Leicester, Queensland Brain Institute, Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, University of Dundee, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, Atherosclerosis Risk in Communities Study (ARIC)The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts N01-HC-55015, N01-HC- 55016, N01-HC-55018, N01-HC-55019, N01-HC-55020, N01-HC55021, N01-HC-55022, R01HL087641, R01HL59367, R01HL086694 and RC2 HL102419, National Human Genome Research Institute contract U01HG004402, and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research. A systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT- CHF)This project was funded by a grant from the European Commission (FP7‐242209‐ BIOSTAT‐CHF, EudraCT 2010–020808–29). Cardiovascular Health Study (CHS) This CHS research was supported by NHLBI contracts HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, HHSN268200960009C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, and NHLBI grants U01HL080295, R01HL087652, R01HL105756, R01HL103612, R01HL120393, and U01HL130114 with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided through R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The provision of genotyping data was supported in part by the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center (DRC) grant DK063491 to the Southern California Diabetes Endocrinology Research Center. deCODE Heart Failure Study (deCODE) We at deCODE thank the women and men of Iceland that have participated in our studies and our colleagues that contributed to data collection and processing. DiscovEHR We acknowledge and thank all participants in Geisinger’s MyCode Community Health Initiative for their support and permission to use their health and genomic information in the DiscovEHR collaboration. This work was supported by the Regeneron Genetics Center and Geisinger. Estonian Genome Center at the University of Tartu (EGCUT) This study was supported by Estonian Research Council Grant IUT20-60, EU, H2020 grant 692145, European Union through the European Regional Development Fund (Project No. 2014-2020.4.01.15-0012) GENTRANSMED. Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study (EPHESUS) The EPHESUS was supported by Pfizer, Inc. The European Prospective Investigation of Cancer, Norfolk study (EPIC-Norfolk) The EPIC-Norfolk Study is supported by programme grants from the Medical Research Council UK (G1000143) and Cancer Research UK (C864/A14136) and with additional support from the European Union, Stroke Association, British Heart Foundation, Research into Ageing, Department of Health, The Wellcome Trust and the Food Standards Agency. NJW and CL also acknowledge support from the Medical Research Council, UK (MC_UU_12015/1, MC_PC_13048). We thank all EPIC participants and staff for their contribution to the study, and thank staff from the Technical, Field Epidemiology and Data Functional Group Teams of the Medical Research Council Epidemiology Unit in Cambridge, UK, for carrying out sample preparation, DNA provision and quality control, genotyping and data handling work. Framingham Heart Study (FHS) This work was conducted using data and resources from the Framingham Heart Study (FHS) of the National Heart Lung and Blood Institute and Boston University School of Medicine. The study was supported by the National Heart, Lung and Blood Institute’s Framingham Heart Study (Contract No. N01-HC-25195 and HHSN268201500001I) and its contract with Affymetrix, Inc for genotyping services (Contract No.N02-HL-6-4278). The work was also supported by R01 HL093328, R01 HL105993, and R01 HL71039 (PI: Ramachandran). FINRISK V.S. has been supported by the Finnish Foundation for Cardiovascular Research. Genetics of Diabetes Audit and Research Tayside Scotland GoDARTS) The Wellcome Trust United Kingdom Type 2 Diabetes Case Control Collection (supporting GoDARTS) was funded by the Wellcome Trust (072960/Z/03/Z, 084726/Z/08/Z, 084727/Z/08/Z, 085475/Z/08/Z, 085475/B/08/Z) and as part of the EU IMI-SUMMIT programme. We acknowledge the support of the Health Informatics Centre, University of Dundee, for managing and supplying the anonymized data and NHS Tayside, the original data owner. The Genetic Risk Assessment of Defibrillator Events (GRADE) NIH-NHLBI R01 HL77398 (Genetic Modulators of Sudden Death). S.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. The LUdwigshafen RIsk and Cardiovascular Health (LURIC) study We extend our appreciation to the participants of the LURIC study, without their collaboration, this article would not have been written. We thank the LURIC study team who were either temporarily or permanently involved in patient recruitment as well as sample and data handling, in addition to the laboratory staff at the Ludwigshafen General Hospital and the Universities of Freiburg and Ulm, Germany. LURIC has received funding from the 7th Framework Program (RiskyCAD, grant agreement number 305739 and Atheroremo, grant agreement number 201668) of the European Union. Malmö Diet and Cancer Study (MDCS) J. Gustav Smith was supported by grants from the Swedish Heart-Lung Foundation (2016- 0134 and 2016-0315), the Swedish Research Council (2017-02554), the European Research Council (ERC-STG-2015-679242), the Crafoord Foundation, Skåne University Hospital, the Scania county, governmental funding of clinical research within the Swedish National Health Service, a generous donation from the Knut and Alice Wallenberg foundation to the Wallenberg Center for Molecular Medicine in Lund, and funding from the Swedish Research Council (Linnaeus grant Dnr 349-2006-237, Strategic Research Area Exodiab Dnr 2009-1039) and Swedish Foundation for Strategic Research (Dnr IRC15- 0067) to the Lund University Diabetes Center. The Malmo Diet and Cancer Study was made possible by grants from the Swedish Cancer Society, the Swedish Medical Research Council, the Swedish Dairy Association, and the Malmo city council. Penn Heart Failure Study (PHFS) The study was supported by NIH grants (NIH R01L088577 and NIH R01H105993). Prevention of REnal and Vascular ENd-stage Disease (PREVEND) The Prevention of Renal and Vascular Endstage Disease Study (PREVEND) genetics is supported by the Dutch Kidney Foundation (Grant E033), the EU project grant GENECURE (FP-6 LSHM CT 2006 037697), the National Institutes of Health (grant LM010098), the Netherlands organisation for health research and development (NWO VENI grant 916.761.70), and the Dutch Inter University Cardiology Institute Netherlands (ICIN). Niek Verweij was supported by NWO VENI grant 016.186.125. PROspective Study of Pravastatin in the Elderly at Risk for vascular disease (PROSPER)The PROSPER study was supported by an investigator-initiated grant obtained from Bristol- Myers Squibb. Support for genotyping was provided by the seventh framework program of the European commission (grant 223004) and by the Netherlands Genomics Initiative (Netherlands Consortium for Healthy Aging grant 050-060-810). J.W.J. is an Established Clinical Investigator of the Netherlands Heart Foundation (grant 2001 D 032). Study of Health in Pomerania (SHIP) SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network ‘Greifswald Approach to Individualized Medicine (GANI_MED)’ funded by the Federal Ministry of Education and Research (grant 03IS2061A). Genome-wide data have been supported by the Federal Ministry of Education and Research (grant no. 03ZIK012) and a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg- West Pomerania. The University of Greifswald is a member of the Caché Campus program of the InterSystems GmbH. Stabilization of Plaque using Darapladib-Thrombolysis in Myocardial Infarction 52 (SOLID)SOLID-TIMI 52 was funded by GlaxoSmithKline. TwinGene (TwinGene) TwinGene received funding from the Swedish Research Council (M-2005-1112), GenomEUtwin (EU/QLRT-2001-01254, QLG2-CT-2002-01254), NIH DK U01-066134, The Swedish Foundation for Strategic Research (SSF) and the Heart and Lung foundation no. 20070481. TwinGene is part of the Swedish Twin Registry which is managed by Karolinska Institutet and receives funding through the Swedish Research Council (2017–00641). UK Biobank (UKBiobank) This research has been conducted using the UK Biobank Resource under Application Number 15422. This work was supported in part by grants to R.T.L. from the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking BigData@Heart grant no. 116074, MRC Proximity to Discovery Award Scheme, the American Heart Association Institute for Precision Mecidine, Pfizer Ltd, the University College London British Heart Foundation Research Accelerator (AA/18/6/34223), and was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. A. H. is supported by the British Heart Foundation Cardiovascular Biomedicine PhD studentship. R.T.L is supported by a UK Research and Innovation Rutherford Fellowship and was previously supported by a National Institutes of Health Research Clinical Lectureship. Uppsala Longitudinal Study of Adult Men (ULSAM) J.Ä. is supported by the Swedish Research Council and the Swedish Heart Lung foundation. C.M.L is supported by the Li Ka Shing Foundation, WT-SSI/John Fell funds and by the NIHR Biomedical Research Centre, Oxford, by Widenlife and NIH (5P50HD028138- 27). Women’s Genome Health Study (WGHS) The WGHS is supported by the National Heart, Lung, and Blood Institute (HL043851 and HL080467, HL099355) and the National Cancer Institute (CA047988 and UM1CA182913), with collaborative scientific support and funding for genotyping provided by Amgen., Epidemiology, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland

Subjects
0301 basic medicine, Dánartíðni, Epidemiology, LOCI, 45/43, General Physics and Astronomy, Muscle Proteins, Genome-wide association study, Disease, Coronary Artery Disease, 030204 cardiovascular system & hematology, Bioinformatics, Genome-wide association studies, DISEASE, Ventricular Function, Left, Coronary artery disease, 0302 clinical medicine, Risk Factors, Atrial Fibrillation, IMPUTATION, Medicine, Blóðrásarsjúkdómar, 692/308/174, lcsh:Science, 2. Zero hunger, RISK, Multidisciplinary, Microfilament Proteins, article, Atrial fibrillation, Mendelian Randomization Analysis, CATALOG, 3. Good health, OBESITY, Erfðarannsóknir, Cardiomyopathies, Medical Genetics, Cyclin-Dependent Kinase Inhibitor p21, Science, 631/208/205/2138, Heart failure, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 631/443/592/2727, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, RESOURCE, Humans, Mortality, METAANALYSIS, Genetic association, Medicinsk genetik, Adaptor Proteins, Signal Transducing, Heart Failure, HYPERTENSION, business.industry, Case-control study, Klinisk medicin, 692/699/75/230, General Chemistry, Cardiovascular genetics, medicine.disease, R1, 030104 developmental biology, Case-Control Studies, lcsh:Q, Morbidity, Clinical Medicine, business, Apoptosis Regulatory Proteins, Carrier Proteins, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies., We acknowledge the contribution from the EchoGen Consortium.

Published
2020

12. A Phenotypic Screen Identifies Calcium Overload as a Key Mechanism of β-Cell Glucolipotoxicity

Author

Vogel, Jennifer, primary, Yin, Jianning, additional, Su, Liansheng, additional, Wang, Sharon X., additional, Zessis, Richard, additional, Fowler, Sena, additional, Chiu, Chun-Hao, additional, Wilson, Aaron C., additional, Chen, Amy, additional, Zecri, Frederic, additional, Turner, Gordon, additional, Smith, Thomas M., additional, DeChristopher, Brian, additional, Xing, Heming, additional, Rothman, Deborah M., additional, Cai, Xinming, additional, and Berdichevsky, Alina, additional

Published
2020
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13. Multiple docking sites on substrate proteins form a modular system that mediates recognition by ERK MAP kinase

Author

Jacobs, Dave, Glossip, Denielle, Xing, Heming, Muslin, Anthony J., and Kornfeld, Kerry

Subjects
Genetic regulation -- Research, Protein kinases -- Observations, Protein binding -- Research, Evolution -- Research, Biological sciences
Abstract

The amino acid sequence FXFP serves as docking site to mediate ERK nitrogen-activate protein (MAP) kinase binding to substrates in protein families. MAP kinases phosphorylate certain groups of substrate proteins. ERK substrates have been predicted and peptide inhibitors of ERK have been designed, based on findings including that that FXFP is specific for ERK, but that the D box mediates binding to ERK and JNK MAP kinase. It appears that partially overlapping substrate specificities of ERK and JNK come from recognition of unique shared docking sites.

Published
1999

15. Systems biology and in vitro validation identifies family with sequence similarity 129 member A (FAM129A) as an asthma steroid response modulator

Author

McGeachie, Michael J., primary, Clemmer, George L., additional, Hayete, Boris, additional, Xing, Heming, additional, Runge, Karl, additional, Wu, Ann Chen, additional, Jiang, Xiaofeng, additional, Lu, Quan, additional, Church, Bruce, additional, Khalil, Iya, additional, Tantisira, Kelan, additional, and Weiss, Scott, additional

Published
2018
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17. Abstract 4025: Data-driven computational modeling to identify biomarkers of response to lenvatinib (E7080) in melanoma.

Author

Kadowaki, Tadashi, primary, Funahashi, Yasuhiro, additional, Matsui, Junji, additional, Pavan, Kumar, additional, Sachdev, Pallavi, additional, O'Brien, Jim, additional, Xing, Heming, additional, McDonagh, Paul D., additional, Khalil, Iya, additional, Kurzrock, Razelle, additional, Hong, David S., additional, and Nemunaitis, John, additional

Published
2013
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20. Causal Modeling Using Network Ensemble Simulations of Genetic and Gene Expression Data Predicts Genes Involved in Rheumatoid Arthritis

Author

Xing, Heming, primary, McDonagh, Paul D., additional, Bienkowska, Jadwiga, additional, Cashorali, Tanya, additional, Runge, Karl, additional, Miller, Robert E., additional, DeCaprio, Dave, additional, Church, Bruce, additional, Roubenoff, Ronenn, additional, Khalil, Iya G., additional, and Carulli, John, additional

Published
2011
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26. Identification of potential cell-surface proteins in Candida albicans and investigation of the role of a putative cell-surface glycosidase in adhesion and virulence.

Author

Alberti-Segui, Christine, Morales, Arturo J., Xing, Heming, Kessler, Marco M., Willins, Debra Aker, Weinstock, Keith G., Cottarel, Guillaume, Fechtel, Kim, and Rogers, Bruce

Abstract

Cell-surface proteins are attractive targets for the development of novel antifungals as they are more accessible to drugs than are intracellular targets. By using a computational biology approach, we identified 180 potential cell-surface proteins in Candida albicans, including the known cell-surface adhesin Als1 and other cell-surface antigens, such as Pra1 and Csa1. Six proteins (named Csf1-6 for cell-surface factors) were selected for further biological characterization. First, we verified that the selected CSF genes are expressed in the yeast and/or hyphal form and then we investigated the effect of the loss of each CSF gene on cell-wall integrity, filamentation, adhesion to mammalian cells and virulence. As a result, we identified Csf4, a putative glycosidase with an apparent orthologue in Saccharomyces cerevisiae (Utr2), as an important factor for cell-wall integrity and maintenance. Interestingly, deletion of CSF4 also resulted in a defect in filamentation, a reduction in adherence to mammalian cells in an in vitro adhesion assay, and a prolongation of survival in an immunocompetent mouse model of disseminated candidiasis. A delay in colonization of key organs (e.g. kidney) was also observed, which is consistent with a reduction in virulence of the csf4-deletion strain. These data indicate a key role for extracellular glycosidases in fungal pathogenesis and represent a new site for therapeutic intervention to cure and prevent fungal disease. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Published
2004
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27. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author

Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K., Wilk, Jemma B., Morley, Michael P., Chaffin, Mark D., Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G., Ärnlöv, Johan, Backman, Joshua D., Biggs, Mary L., Bloom, Heather L., Brandimarto, Jeffrey, Brown, Michael R., Buckbinder, Leonard, Carey, David J., Chasman, Daniel I., Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P., Delgado, Graciela E., Denaxas, Spiros, Doney, Alexander S., Dörr, Marcus, Dudley, Samuel C., Dunn, Michael E., Engström, Gunnar, Esko, Tõnu, Felix, Stephan B., Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S., Gross, Stefan, Guðbjartsson, Daníel F., Gutmann, Rebecca, Haggerty, Christopher M., Van Der Harst, Pim, Hyde, Craig L., Ingelsson, Erik, Jukema, J. Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E., Køber, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M., London, Barry, Lotta, Luca A., Lovering, Ruth C., Luan, Jian’an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B., März, Winfried, Melander, Olle, Mordi, Ify R., Morgan, Thomas, Morris, Andrew D., Morris, Andrew P., Morrison, Alanna C., Nagle, Michael W., Nelson, Christopher P., Niessner, Alexander, Niiranen, Teemu, O’Donoghue, Michelle L., Owens, Anjali T., Palmer, Colin N. A., Parry, Helen M., Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M., Rice, Kenneth M., Ridker, Paul M., Romaine, Simon P. R., Rotter, Jerome I., Salo, Perttu, Salomaa, Veikko, Van Setten, Jessica, Shalaby, Alaa A., Smelser, Diane T., Smith, Nicholas L., Stender, Steen, Stott, David J., Svensson, Per, Tammesoo, Mari-Liis, Taylor, Kent D., Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Guðmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tyl, Benoit, Uitterlinden, Andre G., Veluchamy, Abirami, Völker, Uwe, Voors, Adriaan A., Wang, Xiaosong, Wareham, Nicholas J., Waterworth, Dawn, Weeke, Peter E., Weiss, Raul, Wiggins, Kerri L., Xing, Heming, Yerges-Armstrong, Laura M., Yu, Bing, Zannad, Faiez, Zhao, Jing Hua, Hemingway, Harry, Samani, Nilesh J., McMurray, John J. V., Yang, Jian, Visscher, Peter M., Newton-Cheh, Christopher, Malarstig, Anders, Holm, Hilma, Lubitz, Steven A., Sattar, Naveed, Holmes, Michael V., Cappola, Thomas P., Asselbergs, Folkert W., Hingorani, Aroon D., Kuchenbaecker, Karoline, Ellinor, Patrick T., Lang, Chim C., Stefansson, Kari, Smith, J. Gustav, Vasan, Ramachandran S., Swerdlow, Daniel I., Lumbers, R. Thomas, Abecasis, Goncalo, Backman, Joshua, Bai, Xiaodong, Balasubramanian, Suganthi, Banerjee, Nilanjana, Baras, Aris, Barnard, Leland, Beechert, Christina, Blumenfeld, Andrew, Cantor, Michael, Chai, Yating, Coppola, Giovanni, Damask, Amy, Dewey, Frederick, Economides, Aris, Eom, Gisu, Forsythe, Caitlin, Fuller, Erin D., Gu, Zhenhua, Gurski, Lauren, Guzzardo, Paloma M., Habegger, Lukas, Hahn, Young, Hawes, Alicia, Van Hout, Cristopher, Jones, Marcus B., Khalid, Shareef, Lattari, Michael, Li, Alexander, Lin, Nan, Liu, Daren, Lopez, Alexander, Manoochehri, Kia, Marchini, Jonathan, Marcketta, Anthony, Maxwell, Evan K., McCarthy, Shane, Mitnaul, Lyndon J., O’Dushlaine, Colm, Overton, John D., Padilla, Maria Sotiropoulos, Paulding, Charles, Penn, John, Pradhan, Manasi, Reid, Jeffrey G., Schleicher, Thomas D., Schurmann, Claudia, Shuldiner, Alan, Staples, Jeffrey C., Sun, Dylan, Toledo, Karina, Ulloa, Ricardo H., Widom, Louis, Wolf, Sarah E., Yadav, Ashish, and Ye, Bin

Subjects
2. Zero hunger, 631/443/592/2727, 631/208/205/2138, 692/699/75/230, 45/43, article, 692/308/174, 3. Good health
Abstract

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

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

Author

Lumbers, R. Thomas, Shah, Sonia, Lin, Honghuang, Czuba, Tomasz, Henry, Albert, Swerdlow, Daniel I., Mälarstig, Anders, Andersson, Charlotte, Verweij, Niek, Holmes, Michael V., Ärnlöv, Johan, Svensson, Per, Hemingway, Harry, Sallah, Neneh, Almgren, Peter, Aragam, Krishna G., Asselin, Geraldine, Backman, Joshua D., Biggs, Mary L., Bloom, Heather L., Boersma, Eric, Brandimarto, Jeffrey, Brown, Michael R., Brunner‐La Rocca, Hans‐Peter, Carey, David J., Chaffin, Mark D., Chasman, Daniel I., Chazara, Olympe, Chen, Xing, Chen, Xu, Chung, Jonathan H., Chutkow, William, Cleland, John G.F., Cook, James P., De Denus, Simon, Dehghan, Abbas, Delgado, Graciela E., Denaxas, Spiros, Doney, Alexander S., Dörr, Marcus, Dudley, Samuel C., Engström, Gunnar, Esko, Tõnu, Fatemifar, Ghazaleh, Felix, Stephan B., Finan, Chris, Ford, Ian, Fougerousse, Francoise, Fouodjio, René, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S., Gross, Stefan, Guðbjartsson, Daníel F., Gui, Hongsheng, Gutmann, Rebecca, Haggerty, Christopher M., Van Der Harst, Pim, Hedman, Åsa K., Helgadottir, Anna, Hillege, Hans, Hyde, Craig L., Jacob, Jaison, Jukema, J. Wouter, Kamanu, Frederick, Kardys, Isabella, Kavousi, Maryam, Khaw, Kay‐Tee, Kleber, Marcus E., Køber, Lars, Koekemoer, Andrea, Kraus, Bill, Kuchenbaecker, Karoline, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M., London, Barry, Lotta, Luca A., Lovering, Ruth C., Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Mann, Douglas, Margulies, Kenneth B., Marston, Nicholas A., März, Winfried, McMurray, John J.V., Melander, Olle, Melloni, Giorgio, Mordi, Ify R., Morley, Michael P., Morris, Andrew D., Morris, Andrew P., Morrison, Alanna C., Nagle, Michael W., Nelson, Christopher P., Newton‐Cheh, Christopher, Niessner, Alexander, Niiranen, Teemu, Nowak, Christoph, O'Donoghue, Michelle L., Owens, Anjali T., Palmer, Colin N.A., Paré, Guillaume, Perola, Markus, Perreault, Louis‐Philippe Lemieux, Portilla‐Fernandez, Eliana, Psaty, Bruce M., Rice, Kenneth M., Ridker, Paul M., Romaine, Simon P.R., Roselli, Carolina, Rotter, Jerome I., Ruff, Christian T., Sabatine, Marc S., Salo, Perttu, Salomaa, Veikko, Van Setten, Jessica, Shalaby, Alaa A., Smelser, Diane T., Smith, Nicholas L., Stefansson, Kari, Stender, Steen, Stott, David J., Sveinbjörnsson, Garðar, Tammesoo, Mari‐Liis, Tardif, Jean‐Claude, Taylor, Kent D., Teder‐Laving, Maris, Teumer, Alexander, Thorgeirsson, Guðmundur, Thorsteinsdottir, Unnur, Torp‐Pedersen, Christian, Trompet, Stella, Tuckwell, Danny, Tyl, Benoit, Uitterlinden, Andre G., Vaura, Felix, Veluchamy, Abirami, Visscher, Peter M., Völker, Uwe, Voors, Adriaan A., Wang, Xiaosong, Wareham, Nicholas J., Weeke, Peter E., Weiss, Raul, White, Harvey D., Wiggins, Kerri L., Xing, Heming, Yang, Jian, Yang, Yifan, Yerges‐Armstrong, Laura M., Yu, Bing, Zannad, Faiez, Zhao, Faye, Regeneron Genetics Center, Wilk, Jemma B., Holm, Hilma, Sattar, Naveed, Lubitz, Steven A., Lanfear, David E., Shah, Svati, Dunn, Michael E., Wells, Quinn S., Asselbergs, Folkert W., Hingorani, Aroon D., Dubé, Marie‐Pierre, Samani, Nilesh J., Lang, Chim C., Cappola, Thomas P., Ellinor, Patrick T., Vasan, Ramachandran S., and Smith, J. Gustav

Subjects
Study Design, Cardiomyopathy, FOS: Biological sciences, Study Designs, Genetics, Heart failure, Biomarkers, 3. Good health, Association studies
Abstract

Funder: Knut and Alice Wallenberg Foundation; Id: http://dx.doi.org/10.13039/501100004063, Funder: Swedish National Health Service, Funder: Skåne University Hospital; Id: http://dx.doi.org/10.13039/501100011077, Funder: Crafoord Foundation; Id: http://dx.doi.org/10.13039/501100003173, Funder: Department of Medicine, Boston University School of Medicine; Id: http://dx.doi.org/10.13039/100008748, Funder: Evans Medical Foundation; Id: http://dx.doi.org/10.13039/100015927, Funder: National Heart, Lung, and Blood Institute; Id: http://dx.doi.org/10.13039/100000050, Funder: British Heart Foundation Cardiovascular Biomedicine, Funder: NIHR UCLH Biomedical Research Centre; Id: http://dx.doi.org/10.13039/501100012317, Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P < 5 × 10−8 under an additive genetic model. Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.

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

Author

Lumbers, R Thomas, Shah, Sonia, Lin, Honghuang, Czuba, Tomasz, Henry, Albert, Swerdlow, Daniel I, Mälarstig, Anders, Andersson, Charlotte, Verweij, Niek, Holmes, Michael V, Ärnlöv, Johan, Svensson, Per, Hemingway, Harry, Sallah, Neneh, Almgren, Peter, Aragam, Krishna G, Asselin, Geraldine, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Boersma, Eric, Brandimarto, Jeffrey, Brown, Michael R, Brunner-La Rocca, Hans-Peter, Carey, David J, Chaffin, Mark D, Chasman, Daniel I, Chazara, Olympe, Chen, Xing, Chen, Xu, Chung, Jonathan H, Chutkow, William, Cleland, John GF, Cook, James P, De Denus, Simon, Dehghan, Abbas, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Dörr, Marcus, Dudley, Samuel C, Engström, Gunnar, Esko, Tõnu, Fatemifar, Ghazaleh, Felix, Stephan B, Finan, Chris, Ford, Ian, Fougerousse, Francoise, Fouodjio, René, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Guðbjartsson, Daníel F, Gui, Hongsheng, Gutmann, Rebecca, Haggerty, Christopher M, Van Der Harst, Pim, Hedman, Åsa K, Helgadottir, Anna, Hillege, Hans, Hyde, Craig L, Jacob, Jaison, Jukema, J Wouter, Kamanu, Frederick, Kardys, Isabella, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Køber, Lars, Koekemoer, Andrea, Kraus, Bill, Kuchenbaecker, Karoline, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Mann, Douglas, Margulies, Kenneth B, Marston, Nicholas A, März, Winfried, McMurray, John JV, Melander, Olle, Melloni, Giorgio, Mordi, Ify R, Morley, Michael P, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Newton-Cheh, Christopher, Niessner, Alexander, Niiranen, Teemu, Nowak, Christoph, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Paré, Guillaume, Perola, Markus, Perreault, Louis-Philippe Lemieux, Portilla-Fernandez, Eliana, Psaty, Bruce M, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Roselli, Carolina, Rotter, Jerome I, Ruff, Christian T, Sabatine, Marc S, Salo, Perttu, Salomaa, Veikko, Van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stefansson, Kari, Stender, Steen, Stott, David J, Sveinbjörnsson, Garðar, Tammesoo, Mari-Liis, Tardif, Jean-Claude, Taylor, Kent D, Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Guðmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tuckwell, Danny, Tyl, Benoit, Uitterlinden, Andre G, Vaura, Felix, Veluchamy, Abirami, Visscher, Peter M, Völker, Uwe, Voors, Adriaan A, Wang, Xiaosong, Wareham, Nicholas J, Weeke, Peter E, Weiss, Raul, White, Harvey D, Wiggins, Kerri L, Xing, Heming, Yang, Jian, Yang, Yifan, Yerges-Armstrong, Laura M, Yu, Bing, Zannad, Faiez, Zhao, Faye, Regeneron Genetics Center, Wilk, Jemma B, Holm, Hilma, Sattar, Naveed, Lubitz, Steven A, Lanfear, David E, Shah, Svati, Dunn, Michael E, Wells, Quinn S, Asselbergs, Folkert W, Hingorani, Aroon D, Dubé, Marie-Pierre, Samani, Nilesh J, Lang, Chim C, Cappola, Thomas P, Ellinor, Patrick T, Vasan, Ramachandran S, and Smith, J Gustav

Subjects
Aged, 80 and over, Heart Failure, Male, Cardiomyopathy, Genomics, Middle Aged, 16. Peace & justice, Prognosis, 3. Good health, FOS: Biological sciences, Genetics, Humans, Female, Biomarkers, Association studies, Aged, Genome-Wide Association Study
Abstract

AIMS: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. METHODS AND RESULTS: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10-8 under an additive genetic model. CONCLUSIONS: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.

30. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author

Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Ärnlöv, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Dörr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engström, Gunnar, Esko, Tõnu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Guðbjartsson, Daníel F, Gutmann, Rebecca, Haggerty, Christopher M, Van Der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Køber, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, März, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin N A, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon P R, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, Van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, Stott, David J, Svensson, Per, Tammesoo, Mari-Liis, Taylor, Kent D, Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Guðmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tyl, Benoit, Uitterlinden, Andre G, Veluchamy, Abirami, Völker, Uwe, Voors, Adriaan A, Wang, Xiaosong, Wareham, Nicholas J, Waterworth, Dawn, Weeke, Peter E, Weiss, Raul, Wiggins, Kerri L, Xing, Heming, Yerges-Armstrong, Laura M, Yu, Bing, Zannad, Faiez, Zhao, Jing Hua, Hemingway, Harry, Samani, Nilesh J, McMurray, John J V, Yang, Jian, Visscher, Peter M, Newton-Cheh, Christopher, Malarstig, Anders, Holm, Hilma, Lubitz, Steven A, Sattar, Naveed, Holmes, Michael V, Cappola, Thomas P, Asselbergs, Folkert W, Hingorani, Aroon D, Kuchenbaecker, Karoline, Ellinor, Patrick T, Lang, Chim C, Stefansson, Kari, Smith, J Gustav, Vasan, Ramachandran S, Swerdlow, Daniel I, and Lumbers, R Thomas

Subjects
2. Zero hunger, 3. Good health
Abstract

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

31. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author

Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Ärnlöv, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Dörr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engström, Gunnar, Esko, Tõnu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Guðbjartsson, Daníel F, Gutmann, Rebecca, Haggerty, Christopher M, Van Der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Køber, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, März, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Regeneron Genetics Center, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, Van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, Stott, David J, Svensson, Per, Tammesoo, Mari-Liis, Taylor, Kent D, Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Guðmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tyl, Benoit, Uitterlinden, Andre G, Veluchamy, Abirami, Völker, Uwe, Voors, Adriaan A, Wang, Xiaosong, Wareham, Nicholas J, Waterworth, Dawn, Weeke, Peter E, Weiss, Raul, Wiggins, Kerri L, Xing, Heming, Yerges-Armstrong, Laura M, Yu, Bing, Zannad, Faiez, Zhao, Jing Hua, Hemingway, Harry, Samani, Nilesh J, McMurray, John JV, Yang, Jian, Visscher, Peter M, Newton-Cheh, Christopher, Malarstig, Anders, Holm, Hilma, Lubitz, Steven A, Sattar, Naveed, Holmes, Michael V, Cappola, Thomas P, Asselbergs, Folkert W, Hingorani, Aroon D, Kuchenbaecker, Karoline, Ellinor, Patrick T, Lang, Chim C, Stefansson, Kari, Smith, J Gustav, Vasan, Ramachandran S, Swerdlow, Daniel I, and Lumbers, R Thomas

Subjects
2. Zero hunger, Cyclin-Dependent Kinase Inhibitor p21, Heart Failure, Microfilament Proteins, Muscle Proteins, Coronary Artery Disease, Mendelian Randomization Analysis, Ventricular Function, Left, 3. Good health, Risk Factors, Case-Control Studies, Atrial Fibrillation, Humans, Apoptosis Regulatory Proteins, Cardiomyopathies, Carrier Proteins, Adaptor Proteins, Signal Transducing, Genome-Wide Association Study
Abstract

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

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

Author

Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, and Smith JG

Subjects
Aged, Aged, 80 and over, Female, Genomics, Humans, Male, Middle Aged, Prognosis, Genome-Wide Association Study, Heart Failure genetics
Abstract

Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure., Methods and Results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10 -8 under an additive genetic model., Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Published
2021
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33. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.

Author

Shah S, Henry A, Roselli C, Lin H, Sveinbjörnsson G, Fatemifar G, Hedman ÅK, Wilk JB, Morley MP, Chaffin MD, Helgadottir A, Verweij N, Dehghan A, Almgren P, Andersson C, Aragam KG, Ärnlöv J, Backman JD, Biggs ML, Bloom HL, Brandimarto J, Brown MR, Buckbinder L, Carey DJ, Chasman DI, Chen X, Chen X, Chung J, Chutkow W, Cook JP, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Dunn ME, Engström G, Esko T, Felix SB, Finan C, Ford I, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gutmann R, Haggerty CM, van der Harst P, Hyde CL, Ingelsson E, Jukema JW, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Margulies KB, März W, Melander O, Mordi IR, Morgan T, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Niessner A, Niiranen T, O'Donoghue ML, Owens AT, Palmer CNA, Parry HM, Perola M, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Rotter JI, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stender S, Stott DJ, Svensson P, Tammesoo ML, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tyl B, Uitterlinden AG, Veluchamy A, Völker U, Voors AA, Wang X, Wareham NJ, Waterworth D, Weeke PE, Weiss R, Wiggins KL, Xing H, Yerges-Armstrong LM, Yu B, Zannad F, Zhao JH, Hemingway H, Samani NJ, McMurray JJV, Yang J, Visscher PM, Newton-Cheh C, Malarstig A, Holm H, Lubitz SA, Sattar N, Holmes MV, Cappola TP, Asselbergs FW, Hingorani AD, Kuchenbaecker K, Ellinor PT, Lang CC, Stefansson K, Smith JG, Vasan RS, Swerdlow DI, and Lumbers RT

Subjects
Adaptor Proteins, Signal Transducing genetics, Apoptosis Regulatory Proteins genetics, Cardiomyopathies pathology, Carrier Proteins genetics, Case-Control Studies, Cyclin-Dependent Kinase Inhibitor p21 genetics, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Microfilament Proteins genetics, Muscle Proteins genetics, Risk Factors, Atrial Fibrillation genetics, Cardiomyopathies genetics, Coronary Artery Disease genetics, Heart Failure genetics, Heart Failure pathology, Ventricular Function, Left genetics
Abstract

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

Published
2020
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34. RGS3 controls T lymphocyte migration in a model of Th2-mediated airway inflammation.

Author

Williams JW, Yau D, Sethakorn N, Kach J, Reed EB, Moore TV, Cannon J, Jin X, Xing H, Muslin AJ, Sperling AI, and Dulin NO

Subjects
Animals, Apoptosis, Blotting, Western, Cell Differentiation, Cell Proliferation, Disease Models, Animal, Female, Flow Cytometry, Inflammation metabolism, Inflammation pathology, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Pyroglyphidae pathogenicity, Respiratory Mucosa metabolism, Respiratory Mucosa pathology, T-Lymphocytes metabolism, T-Lymphocytes pathology, Th2 Cells metabolism, Th2 Cells pathology, Cell Movement, Inflammation etiology, RGS Proteins physiology, Respiratory Mucosa immunology, T-Lymphocytes immunology, Th2 Cells immunology
Abstract

T cell migration toward sites of antigen exposure is mediated by G protein signaling and is a key function in the development of immune responses. Regulators of G protein signaling (RGS) proteins modulate G protein signaling; however, their role in the regulation of adaptive immune responses has not been thoroughly explored. Herein we demonstrated abundant expression of the Gi/Gq-specific RGS3 in activated T cells, and that diminished RGS3 expression in a T cell thymoma increased cytokine-induced migration. To examine the role of endogenous RGS3 in vivo, mice deficient in the RGS domain (RGS3(ΔRGS)) were generated and tested in an experimental model of asthma. Compared with littermate controls, the inflammation in the RGS3(ΔRGS) mice was characterized by increased T cell numbers and the striking development of perivascular lymphoid structures. Surprisingly, while innate inflammatory cells were also increased in the lungs of RGS3(ΔRGS) mice, eosinophil numbers and Th2 cytokine production were equivalent to control mice. In contrast, T cell numbers in the draining lymph nodes (dLN) were reduced in the RGS3(ΔRGS), demonstrating a redistribution of T cells from the dLN to the lungs via increased RGS3(ΔRGS) T cell migration. Together these novel findings show a nonredundant role for endogenous RGS3 in controlling T cell migration in vitro and in an in vivo model of inflammation.

Published
2013
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35. Genome sequence of the Brown Norway rat yields insights into mammalian evolution.

Author

Gibbs RA, Weinstock GM, Metzker ML, Muzny DM, Sodergren EJ, Scherer S, Scott G, Steffen D, Worley KC, Burch PE, Okwuonu G, Hines S, Lewis L, DeRamo C, Delgado O, Dugan-Rocha S, Miner G, Morgan M, Hawes A, Gill R, Celera, Holt RA, Adams MD, Amanatides PG, Baden-Tillson H, Barnstead M, Chin S, Evans CA, Ferriera S, Fosler C, Glodek A, Gu Z, Jennings D, Kraft CL, Nguyen T, Pfannkoch CM, Sitter C, Sutton GG, Venter JC, Woodage T, Smith D, Lee HM, Gustafson E, Cahill P, Kana A, Doucette-Stamm L, Weinstock K, Fechtel K, Weiss RB, Dunn DM, Green ED, Blakesley RW, Bouffard GG, De Jong PJ, Osoegawa K, Zhu B, Marra M, Schein J, Bosdet I, Fjell C, Jones S, Krzywinski M, Mathewson C, Siddiqui A, Wye N, McPherson J, Zhao S, Fraser CM, Shetty J, Shatsman S, Geer K, Chen Y, Abramzon S, Nierman WC, Havlak PH, Chen R, Durbin KJ, Simons R, Ren Y, Song XZ, Li B, Liu Y, Qin X, Cawley S, Worley KC, Cooney AJ, D'Souza LM, Martin K, Wu JQ, Gonzalez-Garay ML, Jackson AR, Kalafus KJ, McLeod MP, Milosavljevic A, Virk D, Volkov A, Wheeler DA, Zhang Z, Bailey JA, Eichler EE, Tuzun E, Birney E, Mongin E, Ureta-Vidal A, Woodwark C, Zdobnov E, Bork P, Suyama M, Torrents D, Alexandersson M, Trask BJ, Young JM, Huang H, Wang H, Xing H, Daniels S, Gietzen D, Schmidt J, Stevens K, Vitt U, Wingrove J, Camara F, Mar Albà M, Abril JF, Guigo R, Smit A, Dubchak I, Rubin EM, Couronne O, Poliakov A, Hübner N, Ganten D, Goesele C, Hummel O, Kreitler T, Lee YA, Monti J, Schulz H, Zimdahl H, Himmelbauer H, Lehrach H, Jacob HJ, Bromberg S, Gullings-Handley J, Jensen-Seaman MI, Kwitek AE, Lazar J, Pasko D, Tonellato PJ, Twigger S, Ponting CP, Duarte JM, Rice S, Goodstadt L, Beatson SA, Emes RD, Winter EE, Webber C, Brandt P, Nyakatura G, Adetobi M, Chiaromonte F, Elnitski L, Eswara P, Hardison RC, Hou M, Kolbe D, Makova K, Miller W, Nekrutenko A, Riemer C, Schwartz S, Taylor J, Yang S, Zhang Y, Lindpaintner K, Andrews TD, Caccamo M, Clamp M, Clarke L, Curwen V, Durbin R, Eyras E, Searle SM, Cooper GM, Batzoglou S, Brudno M, Sidow A, Stone EA, Venter JC, Payseur BA, Bourque G, López-Otín C, Puente XS, Chakrabarti K, Chatterji S, Dewey C, Pachter L, Bray N, Yap VB, Caspi A, Tesler G, Pevzner PA, Haussler D, Roskin KM, Baertsch R, Clawson H, Furey TS, Hinrichs AS, Karolchik D, Kent WJ, Rosenbloom KR, Trumbower H, Weirauch M, Cooper DN, Stenson PD, Ma B, Brent M, Arumugam M, Shteynberg D, Copley RR, Taylor MS, Riethman H, Mudunuri U, Peterson J, Guyer M, Felsenfeld A, Old S, Mockrin S, and Collins F

Subjects
Animals, Base Composition, Centromere genetics, Chromosomes, Mammalian genetics, CpG Islands genetics, DNA Transposable Elements genetics, DNA, Mitochondrial genetics, Gene Duplication, Humans, Introns genetics, Male, Mice, Models, Molecular, Mutagenesis, Polymorphism, Single Nucleotide genetics, RNA Splice Sites genetics, RNA, Untranslated genetics, Rats, Regulatory Sequences, Nucleic Acid genetics, Retroelements genetics, Sequence Analysis, DNA, Telomere genetics, Evolution, Molecular, Genome, Genomics, Rats, Inbred BN genetics
Abstract

The laboratory rat (Rattus norvegicus) is an indispensable tool in experimental medicine and drug development, having made inestimable contributions to human health. We report here the genome sequence of the Brown Norway (BN) rat strain. The sequence represents a high-quality 'draft' covering over 90% of the genome. The BN rat sequence is the third complete mammalian genome to be deciphered, and three-way comparisons with the human and mouse genomes resolve details of mammalian evolution. This first comprehensive analysis includes genes and proteins and their relation to human disease, repeated sequences, comparative genome-wide studies of mammalian orthologous chromosomal regions and rearrangement breakpoints, reconstruction of ancestral karyotypes and the events leading to existing species, rates of variation, and lineage-specific and lineage-independent evolutionary events such as expansion of gene families, orthology relations and protein evolution.

Published
2004
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