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Influence of water saturation on ultrasonic P-wave velocity in weakly compacted sandstone

Journal of Physics: Conference Series 2017年第1期795卷

作者： Thaqibul Fikri Niyartama Umar Fauzi Fatkhan Physics Study Program Universitas Islam Negeri Sunan Kalijaga Yogyakarta Jl. MarsdaAdiSucipto No. 1 Yogyakarta 55281 INDONESIA Physics of Earth and Complex Systems ITB Jl. Ganesha 10. Bandung 40132 INDONESIA Geophysics Engineering ITB Jl. Ganesha 10. Bandung 40132 INDONESIA

Laboratory measurements of Ultrasonic P-wave velocities were conducted in weakly compacted sandstone with varying degree of water saturations. We used P wave transducer at frequency 63 kHz and imbibition technique in order to study the influence of water saturation on the P-wave velocity. Our experiment showed that the P-wave velocity (Vp) was reduced significantly at the beginning of the imbibition process. The variations on travel times and the amplitude changes were detected at any degree of saturation. The first and second amplitude of P wave decreased as water saturation (Sw ) increased in the range of 0.1 to 0.6 in B5 sample, the amplitude increased again afterward. The shifting peaks of the signal that indicated attenuation were also observed in the experimental.

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. 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. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Conception d'un systeme innovant pour controler les fonctions d'un vehicule a distance

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UPB Scientific Bulletin, Series D: Mechanical engineering 2015年第2期77卷 167-178页

作者： Abaza, Bogdan Spiroiu, Marius Stanciu, Camelia Serban, Dragos Plutasu, Irina Ghencea, Raluca Popa, Alexandru Galitu, Eugen Faculty of Engineering and Management of Technological Systems University POLITEHNICA of Bucharest Romania University POLITEHNICA of Bucharest Master Program Engineering and Management of Complex Projects Romania

The present paper deals with the development of an innovative product achieved in the frame of one semester project managed by a team of master students accompanied by their teachers in a project-based learning. The aim of the study is to manage the development of an innovative system which enables the user to command and communicate with his car from distance. All innovation management and business strategy phases are covered, from the analysis of user needs to product technical functions, production cost and prototype achievement.

关键词： Teaching

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The palomar transient factory core-collapse supernova host-galaxy sample. I. Host-galaxy distribution functions and environment-dependence of CCSNe

arXiv

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arXiv 2020年

作者： Schulze, Steve Yaron, Ofer Sollerman, Jesper Leloudas, Giorgos Gal, Amit Wright, Angus H. Lunnan, Ragnhild Gal-Yam, Avishay Ofek, Eran O. Perley, Daniel A. Filippenko, Alexei V. Kasliwal, Mansi M. Kulkarni, Shri R. Nugent, Peter E. Quimby, Robert M. Sullivan, Mark Strothjohann, Nora Linn Arcavi, Iair Ben-Ami, Sagi Bianco, Federica Bloom, Joshua S. De, Kishalay Fraser, Morgan Fremling, Christoffer U. Horesh, Assaf Johansson, Joel Kelly, Patrick L. Knežević, Sladjana Maguire, Kate Nyholm, Anders Papadogiannakis, Seméli Petrushevska, Tanja Rubin, Adam Yan, Lin Yang, Yi Adams, Scott M. Bufano, Filomena Clubb, Kelsey I. Foley, Ryan J. Green, Yoav Harmanen, Jussi Ho, Anna Y.Q. Hook, Isobel M. Hosseinzadeh, Griffin Howell, D. Andrew Kong, Albert K.H. Kotak, Rubina Matheson, Thomas McCully, Curtis Milisavljevic, Dan Pan, Yen-Chen Poznanski, Dovi Shivvers, Isaac van Velzen, Sjoert Department of Particle Physics and Astrophysics Weizmann Institute of Science 234 Herzl St Rehovot76100 Israel Department of Astronomy Oskar Klein Centre Stockholm University AlbaNova Stockholm10691 Sweden DTU Space National Space Institute Technical University of Denmark Elektrovej 327 Kgs. LyngbyDK-2800 Denmark Department of Physics of Complex Systems Weizmann Institute of Science 234 Herzl St Rehovot76100 Israel Ruhr-Universität Bochum Astronomisches Institut German Centre for Cosmological Lensing Universitätsstr. 150 Bochum44801 Germany Astrophysics Research Institute Liverpool John Moores University 146 Brownlow Hill LiverpoolL3 5RF United Kingdom Department of Astronomy University of California BerkeleyCA94720-3411 United States Miller Senior Fellow Miller Institute for Basic Research in Science University of California BerkeleyCA94720 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States Cahill Center for Astrophysics California Institute of Technology 1200 E. California Blvd PasadenaCA91125 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 50B-4206 BerkeleyCA94720 United States Department of Astronomy / Mount Laguna Observatory San Diego State University 5500 Campanile Drive San DiegoCA92812-1221 United States University of Tokyo Institutes for Advanced Study University of Tokyo KashiwaChiba277-8583 Japan School of Physics and Astronomy University of Southampton SouthamptonSO17 1BJ United Kingdom School of Physics and Astronomy Tel Aviv University Tel Aviv69978 Israel CIFAR Azrieli Global Scholars program CIFAR Toronto Canada Department of Physics and Astronomy University of Delaware NewarkDE19716 United States Joseph R. Biden Jr. School of Public Policy and Administration University of Delaware NewarkDE19716 United States Data Science Institute University of Delaware NewarkDE19716 United States Center for Urban

Several thousand core-collapse supernovae (CCSNe) of different flavors have been discovered so far. However, identifying their progenitors has remained an outstanding open question in astrophysics. Studies of SN host galaxies have proven to be powerful in providing constraints on the progenitor populations. In this paper, we present all CCSNe detected between 2009 and 2017 by the Palomar Transient Factory. This sample includes 888 SNe of 12 distinct classes out to redshift z ≈ 1. We present the photometric properties of their host galaxies from the far-ultraviolet to the mid-infrared and model the host-galaxy spectral energy distributions to derive physical properties. The galaxy mass functions of Type Ic, Ib, IIb, II, and IIn SNe ranges from 105 to 1011.5 M☉, probing the entire mass range of star-forming galaxies down to the least-massive star-forming galaxies known. Moreover, the galaxy mass distributions are consistent with models of star-formation-weighted mass functions. Regular CCSNe are hence direct tracers of star formation. Small but notable differences exist between some of the SN classes. Type Ib/c SNe prefer galaxies with slightly higher masses (i.e., higher metallicities) and star-formation rates than Type IIb and II SNe. These differences are less pronounced than previously thought. H-poor SLSNe and SNe Ic-BL are scarce in galaxies above 1010 M☉. Their progenitors require environments with metallicities of Copyright © 2020, The Authors. All rights reserved.

关键词： Galaxies

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Self-Organization of Light in Optical Media with Competing Nonlinearities

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Physical Review Letters 2016年第16期116卷 163902-163902页

作者： F. Maucher T. Pohl S. Skupin W. Krolikowski Joint Quantum Centre (JQC) Durham-Newcastle Department of Physics Durham University Durham DH1 3LE United Kingdom Department of Mathematical Sciences Durham University Durham DH1 3LE United Kingdom Max Planck Institute for the Physics of Complex Systems 01187 Dresden Germany Univ. Bordeaux—CNRS—CEA Centre Lasers Intenses et Applications UMR 5107 33405 Talence France Laser Physics Centre Research School of Physics and Engineering Australian National University Canberra ACT 0200 Australia Science Program Texas A&M University at Qatar Doha Qatar

We study the propagation of light beams through optical media with competing nonlocal nonlinearities. We demonstrate that the nonlocality of competing focusing and defocusing nonlinearities gives rise to self-organization and stationary states with stable hexagonal intensity patterns, akin to transverse crystals of light filaments. Signatures of this long-range ordering are shown to be observable in the propagation of light in optical waveguides and even in free space. We consider a specific form of the nonlinear response that arises in atomic vapor upon proper light coupling. Yet, the general phenomenon of self-organization is a generic consequence of competing nonlocal nonlinearities, and may, hence, also be observed in other settings.

关键词： Nonlinear optics Optical solitons

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Wall to wall optimal transport 15

Wall to wall optimal transport

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15th European Turbulence Conference, ETC 2015

作者： Doering, Charles R. Souza, Andre N. Chini, Gregory P. Hassanzadeh, Pedram Department of Physics University of Michigan United States Department of Mathematics University of Michigan United States Center for the Study of Complex Systems University of Michigan United States Department of Mechanical Engineering Program in Integrated Applied Mathematics and Center for Fluid Physics University of New Hampshire United States Centre for the Environment Department of Earth and Planetary Sciences Harvard University United States

The calculus of variations is employed to find steady divergence-free velocity fields that maximize transport of a tracer between two parallel walls held at fixed concentration for one of two constraints on flow strength: a fixed value of the kinetic energy or a fixed value of the enstrophy (the mean square rate of strain in this situation). The optimizing flows realize upper limits on convective transport in this scenario. We interpret the results in the context of buoyancy-driven Rayleigh–Bénard convection problems that satisfy the flow intensity constraints, enabling us to investigate how optimal transport scalings compare with upper bounds on Nu expressed as a function of the Rayleigh number Ra. © TU Delft.

关键词： Kinetic energy

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

Communications biology

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Communications biology 2022年第1期5卷 441页

作者： Marie Loh Weihua Zhang Hong Kiat Ng Katharina Schmid Amel Lamri Lin Tong Meraj Ahmad Jung-Jin Lee Maggie C Y Ng Lauren E Petty Cassandra N Spracklen Fumihiko Takeuchi Md Tariqul Islam Farzana Jasmine Anuradhani Kasturiratne Muhammad Kibriya Karen L Mohlke Guillaume Paré Gauri Prasad Mohammad Shahriar Miao Ling Chee H Janaka de Silva James C Engert Hertzel C Gerstein K Radha Mani Charumathi Sabanayagam Marijana Vujkovic Ananda R Wickremasinghe Tien Yin Wong Chittaranjan S Yajnik Salim Yusuf Habibul Ahsan Dwaipayan Bharadwaj Sonia S Anand Jennifer E Below Michael Boehnke Donald W Bowden Giriraj R Chandak Ching-Yu Cheng Norihiro Kato Anubha Mahajan Xueling Sim Mark I McCarthy Andrew P Morris Jaspal S Kooner Danish Saleheen John C Chambers Lee Kong Chian School of Medicine Nanyang Technological University Singapore 308232 Singapore. Department of Epidemiology and Biostatistics Imperial College London London W2 1PG UK. Department of Cardiology Ealing Hospital London North West Healthcare NHS Trust Middlesex UB1 3HW UK. Institute of Computational Biology Deutsches Forschungszentrum für Gesundheit und Umwelt Helmholtz Zentrum München 85764 Neuherberg Germany. Department of Informatics Technical University of Munich 85748 Garching bei München Neuherberg Germany. Department of Medicine McMaster University Hamilton ON Canada. Population Health Research Institute Hamilton Health Sciences and McMaster University Hamilton ON Canada. The University of Chicago Biological Sciences Division Public Health Sciences 5841 South Maryland Avenue MC2000 Chicago IL 60637 USA. Genomic Research on Complex diseases CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB) Hyderabad India. Translational Medicine and Human Genetics Department of Medicine University of Pennsylvania Philadelphia Pennsylvania USA. Department of Medicine Mayo Hospital Lahore Pakistan. Center for Genomics and Personalized Medicine Research Center for Diabetes Research Wake Forest School of Medicine Winston-Salem NC 37215 USA. Vanderbilt Genetics Institute Division of Genetic Medicine Vanderbilt University Medical Center Nashville TN 37232 USA. Human Genetics Center School of Public Health The University of Texas Health Science Center at Houston Houston TX 77030 USA. Department of Genetics University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA. Department of Biostatistics and Epidemiology University of Massachusetts Amherst MA 01003 USA. Department of Gene Diagnostics and Therapeutics Research Institute National Center for Global Health and Medicine Tokyo Japan. U Chicago Research Bangladesh House#4 Road#2b Sector#4 Uttara Dhaka 1230 Bangladesh. Department of Public Health Faculty of Medicine

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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