50 results on '"Bram P. Prins"'
Search Results
2. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
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Alexander Teumer, Yong Li, Sahar Ghasemi, Bram P. Prins, Matthias Wuttke, Tobias Hermle, Ayush Giri, Karsten B. Sieber, Chengxiang Qiu, Holger Kirsten, Adrienne Tin, Audrey Y. Chu, Nisha Bansal, Mary F. Feitosa, Lihua Wang, Jin-Fang Chai, Massimiliano Cocca, Christian Fuchsberger, Mathias Gorski, Anselm Hoppmann, Katrin Horn, Man Li, Jonathan Marten, Damia Noce, Teresa Nutile, Sanaz Sedaghat, Gardar Sveinbjornsson, Bamidele O. Tayo, Peter J. van der Most, Yizhe Xu, Zhi Yu, Lea Gerstner, Johan Ärnlöv, Stephan J. L. Bakker, Daniela Baptista, Mary L. Biggs, Eric Boerwinkle, Hermann Brenner, Ralph Burkhardt, Robert J. Carroll, Miao-Li Chee, Miao-Ling Chee, Mengmeng Chen, Ching-Yu Cheng, James P. Cook, Josef Coresh, Tanguy Corre, John Danesh, Martin H. de Borst, Alessandro De Grandi, Renée de Mutsert, Aiko P. J. de Vries, Frauke Degenhardt, Katalin Dittrich, Jasmin Divers, Kai-Uwe Eckardt, Georg Ehret, Karlhans Endlich, Janine F. Felix, Oscar H. Franco, Andre Franke, Barry I. Freedman, Sandra Freitag-Wolf, Ron T. Gansevoort, Vilmantas Giedraitis, Martin Gögele, Franziska Grundner-Culemann, Daniel F. Gudbjartsson, Vilmundur Gudnason, Pavel Hamet, Tamara B. Harris, Andrew A. Hicks, Hilma Holm, Valencia Hui Xian Foo, Shih-Jen Hwang, M. Arfan Ikram, Erik Ingelsson, Vincent W. V. Jaddoe, Johanna Jakobsdottir, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Chiea-Chuen Khor, Wieland Kiess, Wolfgang Koenig, Antje Körner, Peter Kovacs, Holly Kramer, Bernhard K. Krämer, Florian Kronenberg, Leslie A. Lange, Carl D. Langefeld, Jeannette Jen-Mai Lee, Terho Lehtimäki, Wolfgang Lieb, Su-Chi Lim, Lars Lind, Cecilia M. Lindgren, Jianjun Liu, Markus Loeffler, Leo-Pekka Lyytikäinen, Anubha Mahajan, Joseph C. Maranville, Deborah Mascalzoni, Barbara McMullen, Christa Meisinger, Thomas Meitinger, Kozeta Miliku, Dennis O. Mook-Kanamori, Martina Müller-Nurasyid, Josyf C. Mychaleckyj, Matthias Nauck, Kjell Nikus, Boting Ning, Raymond Noordam, Jeffrey O’ Connell, Isleifur Olafsson, Nicholette D. Palmer, Annette Peters, Anna I. Podgornaia, Belen Ponte, Tanja Poulain, Peter P. Pramstaller, Ton J. Rabelink, Laura M. Raffield, Dermot F. Reilly, Rainer Rettig, Myriam Rheinberger, Kenneth M. Rice, Fernando Rivadeneira, Heiko Runz, Kathleen A. Ryan, Charumathi Sabanayagam, Kai-Uwe Saum, Ben Schöttker, Christian M. Shaffer, Yuan Shi, Albert V. Smith, Konstantin Strauch, Michael Stumvoll, Benjamin B. Sun, Silke Szymczak, E-Shyong Tai, Nicholas Y. Q. Tan, Kent D. Taylor, Andrej Teren, Yih-Chung Tham, Joachim Thiery, Chris H. L. Thio, Hauke Thomsen, Unnur Thorsteinsdottir, Anke Tönjes, Johanne Tremblay, André G. Uitterlinden, Pim van der Harst, Niek Verweij, Suzanne Vogelezang, Uwe Völker, Melanie Waldenberger, Chaolong Wang, Otis D. Wilson, Charlene Wong, Tien-Yin Wong, Qiong Yang, Masayuki Yasuda, Shreeram Akilesh, Murielle Bochud, Carsten A. Böger, Olivier Devuyst, Todd L. Edwards, Kevin Ho, Andrew P. Morris, Afshin Parsa, Sarah A. Pendergrass, Bruce M. Psaty, Jerome I. Rotter, Kari Stefansson, James G. Wilson, Katalin Susztak, Harold Snieder, Iris M. Heid, Markus Scholz, Adam S. Butterworth, Adriana M. Hung, Cristian Pattaro, and Anna Köttgen
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Science - Abstract
Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.
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- 2019
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3. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume
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Simon Haworth, Chin Yang Shapland, Caroline Hayward, Bram P. Prins, Janine F. Felix, Carolina Medina-Gomez, Fernando Rivadeneira, Carol Wang, Tarunveer S. Ahluwalia, Martine Vrijheid, Mònica Guxens, Jordi Sunyer, Ioanna Tachmazidou, Klaudia Walter, Valentina Iotchkova, Andrew Jackson, Louise Cleal, Jennifer Huffmann, Josine L. Min, Lærke Sass, Paul R. H. J. Timmers, UK10K consortium, George Davey Smith, Simon E. Fisher, James F. Wilson, Tim J. Cole, Dietmar Fernandez-Orth, Klaus Bønnelykke, Hans Bisgaard, Craig E. Pennell, Vincent W. V. Jaddoe, George Dedoussis, Nicholas Timpson, Eleftheria Zeggini, Veronique Vitart, and Beate St Pourcain
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Science - Abstract
Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.
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- 2019
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4. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6
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Bram P. Prins, Timothy J. Mead, Jennifer A. Brody, Gardar Sveinbjornsson, Ioanna Ntalla, Nathan A. Bihlmeyer, Marten van den Berg, Jette Bork-Jensen, Stefania Cappellani, Stefan Van Duijvenboden, Nikolai T. Klena, George C. Gabriel, Xiaoqin Liu, Cagri Gulec, Niels Grarup, Jeffrey Haessler, Leanne M. Hall, Annamaria Iorio, Aaron Isaacs, Ruifang Li-Gao, Honghuang Lin, Ching-Ti Liu, Leo-Pekka Lyytikäinen, Jonathan Marten, Hao Mei, Martina Müller-Nurasyid, Michele Orini, Sandosh Padmanabhan, Farid Radmanesh, Julia Ramirez, Antonietta Robino, Molly Schwartz, Jessica van Setten, Albert V. Smith, Niek Verweij, Helen R. Warren, Stefan Weiss, Alvaro Alonso, David O. Arnar, Michiel L. Bots, Rudolf A. de Boer, Anna F. Dominiczak, Mark Eijgelsheim, Patrick T. Ellinor, Xiuqing Guo, Stephan B. Felix, Tamara B. Harris, Caroline Hayward, Susan R. Heckbert, Paul L. Huang, J. W. Jukema, Mika Kähönen, Jan A. Kors, Pier D. Lambiase, Lenore J. Launer, Man Li, Allan Linneberg, Christopher P. Nelson, Oluf Pedersen, Marco Perez, Annette Peters, Ozren Polasek, Bruce M. Psaty, Olli T. Raitakari, Kenneth M. Rice, Jerome I. Rotter, Moritz F. Sinner, Elsayed Z. Soliman, Tim D. Spector, Konstantin Strauch, Unnur Thorsteinsdottir, Andrew Tinker, Stella Trompet, André Uitterlinden, Ilonca Vaartjes, Peter van der Meer, Uwe Völker, Henry Völzke, Melanie Waldenberger, James G. Wilson, Zhijun Xie, Folkert W. Asselbergs, Marcus Dörr, Cornelia M. van Duijn, Paolo Gasparini, Daniel F. Gudbjartsson, Vilmundur Gudnason, Torben Hansen, Stefan Kääb, Jørgen K. Kanters, Charles Kooperberg, Terho Lehtimäki, Henry J. Lin, Steven A. Lubitz, Dennis O. Mook-Kanamori, Francesco J. Conti, Christopher H. Newton-Cheh, Jonathan Rosand, Igor Rudan, Nilesh J. Samani, Gianfranco Sinagra, Blair H. Smith, Hilma Holm, Bruno H. Stricker, Sheila Ulivi, Nona Sotoodehnia, Suneel S. Apte, Pim van der Harst, Kari Stefansson, Patricia B. Munroe, Dan E. Arking, Cecilia W. Lo, and Yalda Jamshidi
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Exome chip ,Conduction ,ADAMTS6 ,Meta-analysis ,Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Background Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear. Results Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction. Conclusions Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.
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- 2018
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5. Genetic mechanisms of 184 neuro-related proteins in human plasma
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Linda Repetto, Jiantao Chen, Zhijian Yang, Ranran Zhai, Paul R. H. J. Timmers, Ting Li, Emma L. Twait, Sebastian May-Wilson, Marisa D. Muckian, Bram P. Prins, Grace Png, Charles Kooperberg, Åsa Johansson, Robert F. Hillary, Eleanor Wheeler, Lu Pan, Yazhou He, Sofia Klasson, Shahzad Ahmad, James E. Peters, Arthur Gilly, Maria Karaleftheri, Emmanouil Tsafantakis, Jeffrey Haessler, Ulf Gyllensten, Sarah E. Harris, Nicholas J. Wareham, Andreas Göteson, Cecilia Lagging, Mohammad Arfan Ikram, Cornelia M. van Duijn, Christina Jern, Mikael Landén, Claudia Langenberg, Ian J. Deary, Riccardo E. Marioni, Stefan Enroth, Alexander P. Reiner, George Dedoussis, Eleftheria Zeggini, Adam S. Butterworth, Anders Mälarstig, James F. Wilson, Pau Navarro, and Xia Shen
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Article - Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the disease etiology of neuropsychiatric disorders and other complex traits and diseases. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-related proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein’s heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-related traits as well as complex diseases such as hypertension, high cholesterol, immune-related disorders, and psychiatric disorders. Integrating with established drug information, we validated 13 combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets for diseases and comorbidities. This consortium effort provides a large-scale proteogenomic resource for biomedical research.
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- 2023
6. Trans-ethnic Genomic Informed Risk Assessment for Alzheimer’s disease: An International Hundred K+ Cohorts Consortium Study
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Patrick M. Sleiman, Hui-Qi Qu, John J Connolly, Frank Mentch, Alexandre Pereira, Paulo A Lotufo, Stephen Tollman, Ananyo Choudhury, Michele Ramsay, Norihiro Kato, Kouichi Ozaki, Risa Mitsumori, Jae-Pil Jeon, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Dong-gi Lee, Naaheed Mukadam, Isabelle F Foote, Charles R Marshall, Adam Butterworth, Bram P Prins, Joseph T Glessner, and Hakon Hakonarson
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BackgroundAlzheimer’s disease (AD) is a complex multifactorial progressive dementia affecting all human populations. As a collaboration model between the International Hundred K+ Cohorts Consortium (IHCC) and the Davos Alzheimer Collaborative (DAC), our aim was to develop a trans-ethnic genomic informed risk assessment (GIRA) algorithm for AD.MethodsThe GIRA model was created to include a polygenic risk score (PRS) calculated from the AD GWAS loci, theAPOEhaplotypes, and non-genetic covariates including age, sex and first 3 principal components of population substructure. The model was first validated using a ancestrally diverse dataset from the eMERGE network, and subsequently validated in a South-Asian population in the UK and 3 East-Asian populations. The distributions of the PRS scores were also explored in populations from 3 African regions. In two validation sites, the PRS was tested for associated with the levels of plasma proteomics markers.ResultsWe created a trans-ethnic GIRA model for the risk prediction of AD and validated the performance of the GIRA model in different populations. The proteomic study in the participant sites identified proteins related to female infertility and autoimmune thyroiditis and associated with the risk scores of AD, highlighting molecular mechanisms underlying the previously observed correlations between these clinical phenotypes.ConclusionsAs the initial effort by the IHCC to leverage existing large scale datasets in a collaborative setting with DAC, we developed a trans-ethnic GIRA for AD with the potential of identifying individuals at high risk of developing AD for future clinical applications. The PRS scores in this model also contribute new research discoveries for the molecular pathogenesis of AD as demonstrated by the proteomic data.
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- 2022
7. Genome-wide association study of circulating interleukin 6 levels identifies novel loci
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Martina Müller-Nurasyid, Jerome I. Rotter, David M. Evans, John P. Kemp, Emelia J. Benjamin, Graciela E. Delgado, Vilmundur Gudnason, Ann Hammarstedt, Panos Deloukas, Aroon D. Hingorani, Riccardo E. Marioni, David Stacey, Jenny van Dongen, Eric Boerwinkle, Joachim Heinrich, Yongmei Liu, S. Goya Wannamethee, Delilah Zabaneh, Braxton D. Mitchell, Marie Standl, Jackie F. Price, Maria G. Stathopoulou, Yoav Ben-Shlomo, Joris Deelen, Eero Kajantie, Mohammadreza Abdollahi, Christie M. Ballantyne, Johan G. Eriksson, Ilkka Seppälä, Elnaz Naderi, Barbara J. Jefferis, Richard W Morris, Nicholas J. Timpson, George Dedoussis, Sirpa Jalkanen, Mika Kivimäki, Perminder S. Sachdev, Diana van Heemst, Melanie Waldenberger, Gaurav Singhal, Elisabeth Thiering, Olli T. Raitakari, Anders Hamsten, Zoltán Kutalik, L. Bain, Eco J. C. de Geus, Tarunveer S. Ahluwalia, Yuri Milaneschi, Hubert Scharnagl, Juan P. Casas, Georg Homuth, Claes Ohlsson, Abbas Dehghan, Nicola J. Armstrong, Behrooz Z. Alizadeh, Terho Lehtimäki, Steve E. Humphries, Naveed Sattar, Bram P. Prins, Peter Rossing, Sophie Visvikis-Siest, Joana A. Revez, Ilja M. Nolte, Stella Trompet, Harold Snieder, Marian Beekman, Diana Marek, Beate St Pourcain, Thorkild I. A. Sørensen, Silvia Naitza, Karen A. Mather, Uwe Völker, Eline Slagboom, Tina Shah, Magdalene C. Jawahar, Jens Baumert, Alexander Teumer, Dorret I. Boomsma, Marcus E. Kleber, Peter Vollenweider, Wolfgang Koenig, Brenda W.J.H. Penninx, Kenneth Rice, Ian J. Deary, Pedro Marques-Vidal, Donna K. Arnett, Eleonora Porcu, Jouke-Jan Hottenga, Maria Sabater-Lleal, Bruce M. Psaty, Matthias Nauck, Dan Mellström, Joel Eriksson, Bernhard T. Baune, Debbie A Lawlor, Catherine Toben, Peter H. Whincup, Toshiko Tanaka, Stavroula Kanoni, Katri Räikkönen, Gonneke Willemsen, Bengt Sennblad, Julian N. Trollor, Yalda Jamshidi, Sarah E. Harris, Jari Lahti, Joshua C. Bis, Peter Durda, Yen Pei C. Chang, Jorgen Engmann, Tom R. Gaunt, Stella Aslibekyan, Anbupalam Thalamuthu, Mary F. Feitosa, Angela Silveira, Tine Jess, Stela McLachlan, J. Wouter Jukema, Chen Lu, Simon P. Mooijaart, Tim D. Spector, Harald Grallert, Winfried März, Alexandros M. Petrelis, Manuel A. R. Ferreira, Meena Kumari, Stochastics, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, CHARGE Inflammation Working Group, Epidemiology, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Steno Diabetes Center, University of Copenhagen = Københavns Universitet (KU), University of Groningen [Groningen], Murdoch University, University of Alabama at Birmingham [ Birmingham] (UAB), QIMR Berghofer Medical Research Institute, University College of London [London] (UCL), Helmholtz-Zentrum München (HZM), Leiden University Medical Center (LUMC), University of Bristol [Bristol], University of Washington [Seattle], University of Maryland School of Medicine, University of Maryland System, Vrije Universiteit Amsterdam [Amsterdam] (VU), VU University Medical Center [Amsterdam], University of Heidelberg, Medical Faculty, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), Sahlgrenska Academy at University of Gothenburg [Göteborg], National Institute for Health and Welfare [Helsinki], University of Helsinki, William Harvey Research Institute, Barts and the London Medical School, University of Queensland [Brisbane], School of Public Health [Boston], Boston University [Boston] (BU), MRC Institute of Genetics and Molecular Medicine [Edinburgh] (IGMM), University of Edinburgh-Medical Research Council, University of Edinburgh, Amsterdam UMC, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche [Roma] (CNR), Karolinska Institutet [Stockholm], University of Tampere [Finland], Adelaide Medical School [Australia], University of Adelaide, Universität Greifswald - University of Greifswald, University of New South Wales [Sydney] (UNSW), Prince of Wales Hospital, Ludwig-Maximilians-Universität München (LMU), Baylor College of Medicine (BCM), Baylor University, Boston University School of Medicine (BUSM), VA Boston Healthcare System, Harokopio University of Athens, Max planck Institute for Biology of Ageing [Cologne], Larner College of Medicine [University of Vermont, Burlington], University of Vermont [Burlington], Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-Universität Greifswald, University of Turku, St George's, University of London, Statens Serum Institut [Copenhagen], Medical Faculty [Mannheim], Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Johannes Gutenberg - Universität Mainz (JGU), Vrije Universiteit Medical Centre (VUMC), British Heart Foundation Glasgow Cardiovascular Research Centre (BHF GCRC), University of Glasgow-NHS Greater Glasgow and Clyde, Medical University Graz, Uppsala Universitet [Uppsala], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], University of Kentucky, Melbourne Medical School [Melbourne], Faculty of Medicine, Dentistry and Health Sciences [Melbourne], University of Melbourne-University of Melbourne, University Hospital Münster - Universitaetsklinikum Muenster [Germany] (UKM), University of Maryland [Baltimore], Queen Mary University of London (QMUL), University of Iceland [Reykjavik], Ludwig Maximilian University [Munich] (LMU), Melbourne School of Population and Global Health [Melbourne], University of Melbourne, Deutsches Herzzentrum München (DHM), German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), University of Ulm (UUlm), University of Essex, Greifswald University Hospital, Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), King‘s College London, University of Cambridge [UK] (CAM), Harbor UCLA Medical Center [Torrance, Ca.], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), Human Genome Sequencing Center [Houston] (HGSC), Baylor University-Baylor University, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, Clinicum, Department of Bacteriology and Immunology, Department of Public Health, Department of Psychology and Logopedics, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Doctoral Programme in Human Behaviour, Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
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AcademicSubjects/SCI01140 ,[SDV]Life Sciences [q-bio] ,Genome-wide association study ,030204 cardiovascular system & hematology ,DISEASE ,Pathogenesis ,Cohort Studies ,0302 clinical medicine ,cytokine ,SYSTEMIC-LUPUS-ERYTHEMATOSUS ,Association Studies Article ,ComputingMilieux_MISCELLANEOUS ,Genetics (clinical) ,Genetics ,0303 health sciences ,ARCHITECTURE ,CHRONIC INFLAMMATION ,1184 Genetics, developmental biology, physiology ,General Medicine ,RECEPTOR IL-6R GENE ,C-REACTIVE PROTEIN ,hla-drb1 gene ,3. Good health ,Medical genetics ,Medical Genetics ,chromosomes ,medicine.medical_specialty ,SUSCEPTIBILITY LOCI ,European Continental Ancestry Group ,Locus (genetics) ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,anti-inflammatory agents ,White People ,03 medical and health sciences ,medicine ,Humans ,Genetic Predisposition to Disease ,Interleukin 6 ,Molecular Biology ,Medicinsk genetik ,030304 developmental biology ,PRODUCE IL-6 ,Interleukin-6 ,Chromosome ,Receptors, Interleukin-6 ,RHEUMATOID-ARTHRITIS ,Interleukin 1 Receptor Antagonist Protein ,Gene Expression Regulation ,Genetic Loci ,CELLS ,biology.protein ,1182 Biochemistry, cell and molecular biology ,Human genome ,3111 Biomedicine ,Genome-Wide Association Study ,HLA-DRB1 Chains ,Interleukin-1 - Abstract
Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (Pcombined = 1.8 × 10−11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (Pcombined = 1.5 × 10−10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (Pcombined = 1.2 × 10−122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
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- 2021
8. Advances in Genomic Discovery and Implications for Personalized Prevention and Medicine: Estonia as Example
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Harold Snieder, Liis Leitsalu, Toomas Haller, Bram P. Prins, Katri Pärna, Krista Fischer, Andres Metspalu, Prins, Bram Peter [0000-0001-5774-034X], Leitsalu, Liis [0000-0001-7616-5440], Pärna, Katri [0000-0002-0013-6077], Fischer, Krista [0000-0002-3521-0599], Snieder, Harold [0000-0003-1949-2298], and Apollo - University of Cambridge Repository
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Estonia ,GENETICS ,DATABASE ,CHROMOSOME ,Computer science ,Genomic data ,Genomic research ,Medicine (miscellaneous) ,Review ,Disease ,VARIANTS ,SUSCEPTIBILITY ,GWAS DATA ,03 medical and health sciences ,0302 clinical medicine ,Health care ,patient communication ,030304 developmental biology ,0303 health sciences ,business.industry ,ASSOCIATION ,FRAMEWORK ,Data science ,Biobank ,return of results ,biobank ,genomic medicine ,Medicine ,Patient communication ,HEALTH ,Personalized medicine ,business ,Return of results ,genetic discovery ,030217 neurology & neurosurgery - Abstract
The current paradigm of personalized medicine envisages the use of genomic data to provide predictive information on the health course of an individual with the aim of prevention and individualized care. However, substantial efforts are required to realize the concept: enhanced genetic discoveries, translation into intervention strategies, and a systematic implementation in healthcare. Here we review how further genetic discoveries are improving personalized prediction and advance functional insights into the link between genetics and disease. In the second part we give our perspective on the way these advances in genomic research will transform the future of personalized prevention and medicine using Estonia as a primer.
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- 2021
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9. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19
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Sudha K Iyengar, Yan V. Sun, Stephen Burgess, Nicole M Kosik, Christopher J. O'Donnell, Sonja A. Swanson, Maik Pietzner, Yunling Shi, Kyong-Mi Chang, Alexandre C. Pereira, Philip S. Tsao, Anna Gaulton, A. Patrícia Bento, Jennifer E. Huffman, Juan P Casas, Jin Zhou, Yuk-Lam Ho, Claudia Giambartolomei, Bryan R Gorman, Dennis Valentine, Inigo Barrio-Hernandez, Jing Hua Zhao, Jean C. Beckham, Elias Allara, Daniel C Posner, Kristine E. Lynch, Niklas Hagberg, Christian Lundtoft, David R. Gagnon, Rachel Ramoni, Adriana M. Hung, Lauren O Thomann, Marijana Vujkovic, Lars Rönnblom, Helene Garcon, Praveen Surendran, Liam Gaziano, Bram P. Prins, Poornima Devineni, Scott L. DuVall, Jacob Joseph, Grant D. Huang, John Danesh, Andrew R. Leach, James E. Peters, Todd L. Edwards, J. Michael Gaziano, Kelly Cho, Pedro Beltrao, Claudia Langenberg, Sumitra Muralidhar, Adam S. Butterworth, and Saiju Pyarajan
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Drug repositioning ,Drug development ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Expression quantitative trait loci ,Mendelian randomization ,Druggability ,Medicine ,Computational biology ,business ,Genome ,Repurposing - Abstract
Drug repurposing provides a rapid approach to meet the urgent need for therapeutics to address COVID-19. To identify therapeutic targets relevant to COVID-19, we conducted Mendelian randomization (MR) analyses, deriving genetic instruments based on transcriptomic and proteomic data for 1,263 actionable proteins that are targeted by approved drugs or in clinical phase of drug development. Using summary statistics from the Host Genetics Initiative and the Million Veteran Program, we studied 7,554 patients hospitalized with COVID-19 and >1 million controls. We found significant Mendelian randomization results for three proteins (ACE2: P=1.6×10−6, IFNAR2: P=9.8×10−11, and IL-10RB: P=1.9×10−14) using cis-eQTL genetic instruments that also had strong evidence for colocalization with COVID-19 hospitalization. To disentangle the shared eQTL signal for IL10RB and IFNAR2, we conducted phenome-wide association scans and pathway enrichment analysis, which suggested that IFNAR2 is more likely to play a role in COVID-19 hospitalization. Our findings prioritize trials of drugs targeting IFNAR2 and ACE2 for early management of COVID-19.
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- 2020
10. Genomic evaluation of circulating proteins for drug target characterisation and precision medicine
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Tõnu Esko, Lars Wallentin, Andrew D. Bretherick, Adam S. Butterworth, Jesper R. Gådin, Anders Hamsten, Anders Mälarstig, Gunnar Engström, Johan Ärnlöv, Andres Ingason, Céline Fernandez, Jian Yang, Peter M. Nilsson, George Davey-Smith, Weidong Zhang, Agneta Siegbahn, Lasse Folkersen, Thibaud Boutin, Michael V. Holmes, Lars Lind, Julie Lee, Erik Ingelsson, James F. Wilson, Olle Melander, Eric B. Fauman, Lude Franke, Amira Quazi, John Danesh, Ozren Polasek, Niclas Ericsson, Sarah E. Bergen, Mika Ala-Korpela, Andrew J. Schork, Marketa Sjögren, Seung Hoan Choi, Jan Nilsson, Åsa K Hedman, Cecilia M. Lindgren, Bram P. Prins, Daria V. Zhernakova, Yang Wu, Karl Michaëlsson, James E. Peters, Andrew P. Morris, Marju Orho-Melander, Stefan Enroth, Reedik Mägi, Stefan Gustafsson, Mikael Landén, Martin Magnusson, Qin Wang, Steven A. Lubitz, Johan Sundström, Federico De Masi, Jingyuan Fu, Rasmus Wernersson, Thomas Werge, Praveen Surendran, Tom Palmer, Paul W. Franks, Caroline Hayward, Daniel Hvidberg Hansen, Ulf Gyllensten, Vilmantas Giedraitis, Ljubica Perisic Matic, Urmo Võsa, Åsa Johansson, Alexandra Zhernakova, Bianca E. Suur, Karen Page, Gustav Smith, Erik Pålsson, Ting Qi, Harm-Jan Westra, Michael W. Nagle, Erin Macdonald-Dunlop, Annique Claringbould, Peter K. Joshi, Sölve Elmståhl, Anettne Kalnapenkis, Yan Chen, Chris Haley, and Jeremy D. Gale
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Drug ,0303 health sciences ,media_common.quotation_subject ,Drug target ,Disease ,Computational biology ,030204 cardiovascular system & hematology ,Biology ,Quantitative trait locus ,Precision medicine ,3. Good health ,03 medical and health sciences ,Human health ,0302 clinical medicine ,Mendelian randomization ,Gene ,030304 developmental biology ,media_common - Abstract
Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. By mapping and replicating protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, we identified 467 pQTLs for 85 proteins. The pQTLs were used in combination with other sources of information to evaluate known drug targets, and suggest new target candidates or repositioning opportunities, underpinned by a) causality assessment using Mendelian randomization, b) pathway mapping usingtrans-pQTL gene assignments, and c) protein-centric polygenic risk scores enabling matching of plausible target mechanisms to sub-groups of individuals enabling precision medicine.
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- 2020
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11. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals
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Tom Palmer, Lars Lind, George Davey Smith, Ting Qi, Michael W. Nagle, Paul W. Franks, Bram P. Prins, Julie Lee, Jingyuan Fu, Niclas Eriksson, Peter K. Joshi, Chris Haley, Ljubica Perisic Matic, Jeremy D. Gale, Mika Ala-Korpela, Michael V. Holmes, Urmo Võsa, Adam S. Butterworth, Eric B. Fauman, Anette Kalnapenkis, Reedik Mägi, Åsa Johansson, James F. Wilson, Mikael Landén, Gunnar Engström, Johan Ärnlöv, Anders Hamsten, Ozren Polasek, Andres Ingason, Andrew J. Schork, Agneta Siegbahn, Lasse Folkersen, Qin Wang, Andrew P. Morris, Johan Sundström, Daria V. Zhernakova, Olle Melander, Erik Ingelsson, Federico De Masi, Lude Franke, James E. Peters, Alexandra Zhernakova, Seung Hoan Choi, Rasmus Wernersson, Thibaud Boutin, Karl Michaëlsson, Stefan Gustafsson, Bianca E. Suur, Karen Page, Yang Wu, Caroline Hayward, Marketa Sjögren, Cecilia M. Lindgren, Stefan Enroth, Tõnu Esko, Amira Quazi, John Danesh, Anders Mälarstig, Daniel Hvidberg Hansen, Åsa K Hedman, Jan Nilsson, Ulf Gyllensten, Vilmantas Giedraitis, J. Gustav Smith, Martin Magnusson, Marju Orho-Melander, Steven A. Lubitz, Erin Macdonald-Dunlop, Thomas Werge, Praveen Surendran, Yan Chen, Céline Fernandez, Weidong Zhang, Lars Wallentin, Andrew D. Bretherick, Jian Yang, Peter M. Nilsson, Jesper R. Gådin, Annique Claringbould, Sölve Elmståhl, Sarah E Bergen, Harm-Jan Westra, Erik Pålsson, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), United Kingdom Research and Innovation, Folkersen, Lasse [0000-0003-0708-9530], Hansen, Daniel Hvidberg [0000-0003-3285-605X], Wu, Yang [0000-0002-0128-7280], Eriksson, Niclas [0000-0002-2152-4343], Bretherick, Andrew D [0000-0001-9258-3140], Enroth, Stefan [0000-0002-5056-9137], Lee, Julie [0000-0001-6090-6718], Ala-Korpela, Mika [0000-0001-5905-1206], Claringbould, Annique [0000-0002-9201-6557], Davey Smith, George [0000-0002-1407-8314], Fauman, Eric [0000-0002-9739-0249], Fernandez, Celine [0000-0003-1290-4982], Franke, Lude [0000-0002-5159-8802], Franks, Paul W [0000-0002-0520-7604], Giedraitis, Vilmantas [0000-0003-3423-2021], Haley, Chris [0000-0002-9811-0210], Johansson, Åsa [0000-0002-2915-4498], Lubitz, Steven [0000-0002-9599-4866], Palmer, Tom [0000-0003-4655-4511], Macdonald-Dunlop, Erin [0000-0001-6569-6086], Magnusson, Martin [0000-0003-1710-5936], Michaelsson, Karl [0000-0003-2815-1217], Nagle, Michael W [0000-0002-4677-7582], Nilsson, Peter M [0000-0002-5652-8459], Nilsson, Jan [0000-0002-9752-7479], Prins, Bram [0000-0001-5774-034X], Sundström, Johan [0000-0003-2247-8454], Werge, Thomas [0000-0003-1829-0766], Westra, Harm-Jan [0000-0001-7038-567X], Fu, Jingyuan [0000-0001-5578-1236], Esko, Tõnu [0000-0003-1982-6569], Hayward, Caroline [0000-0002-9405-9550], Landen, Mikael [0000-0002-4496-6451], Butterworth, Adam S [0000-0002-6915-9015], Holmes, Michael V [0000-0001-6617-0879], Ingelsson, Erik [0000-0003-2256-6972], Mälarstig, Anders [0000-0003-2608-1358], Apollo - University of Cambridge Repository, and 30387078 - Magnusson, P. Martin
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Proteomics ,Proteome ,Endocrinology, Diabetes and Metabolism ,Asthma ,ATP Binding Cassette Transporter 1 ,Cardiovascular System ,Chromosome Mapping ,Drug Delivery Systems ,Gene Knockdown Techniques ,Genome-Wide Association Study ,Genomics ,Humans ,Inflammatory Bowel Diseases ,Interleukin-1 Receptor-Like 1 Protein ,Intracellular Signaling Peptides and Proteins ,Linkage Disequilibrium ,Mendelian Randomization Analysis ,Protein-Serine-Threonine Kinases ,Quantitative Trait Loci ,Receptors, CCR2 ,Receptors, CCR5 ,Genome-wide association study ,030204 cardiovascular system & hematology ,Chemokine receptor ,0302 clinical medicine ,RECEPTOR ANTAGONIST ,GWAS ,Cardiac and Cardiovascular Systems ,0303 health sciences ,Molecular medicine ,3. Good health ,Medical genetics ,Medical Genetics ,Life Sciences & Biomedicine ,medicine.medical_specialty ,Computational biology ,Biology ,Protein Serine-Threonine Kinases ,Article ,03 medical and health sciences ,Endocrinology & Metabolism ,Physiology (medical) ,Mendelian randomization ,Internal Medicine ,medicine ,030304 developmental biology ,Science & Technology ,Cell Biology ,GENE ,ANTIBODY - Abstract
Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.
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- 2020
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12. Blood Eosinophil Count and Metabolic, Cardiac and Pulmonary Outcomes: A Mendelian Randomization Study
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Behrooz Z. Alizadeh, Judith M. Vonk, Harold Snieder, Bruce H. R. Wolffenbuttel, Gerard H. Koppelman, Lude Franke, Marcel Bruinenberg, Gerjan Navis, H. Marike Boezen, Daniel I. Chasman, Marzyeh Amini, Ali Abbasi, Bram P. Prins, Pim van der Harst, Abbasi, Ali [0000-0002-6452-4765], Prins, Bram [0000-0001-5774-034X], Koppelman, Gerard H [0000-0001-8567-3252], Apollo - University of Cambridge Repository, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Life Course Epidemiology (LCE), Value, Affordability and Sustainability (VALUE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)
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Blood Glucose ,Male ,0301 basic medicine ,LOCI ,Blood Pressure ,Genome-wide association study ,metabolic diseases ,Body Mass Index ,Cohort Studies ,Leukocyte Count ,Pulmonary Disease, Chronic Obstructive ,0302 clinical medicine ,Forced Expiratory Volume ,Glucose homeostasis ,030212 general & internal medicine ,Genetics (clinical) ,Metabolic Syndrome ,Obstetrics and Gynecology ,Mendelian Randomization Analysis ,Lipids ,medicine.anatomical_structure ,Cohort ,CORONARY-ARTERY-DISEASE ,Female ,medicine.medical_specialty ,eosinophil count ,PROVIDES INSIGHTS ,CONTROLLED-TRIAL ,genetic risk score ,GENETIC ARCHITECTURE ,03 medical and health sciences ,Quantitative Trait, Heritable ,Internal medicine ,Mendelian randomization ,medicine ,Humans ,complex diseases ,CELL ,GENOME-WIDE ASSOCIATION ,METAANALYSIS ,Glycated Hemoglobin ,business.industry ,Odds ratio ,Eosinophil ,medicine.disease ,Asthma ,instrumental variable ,cardiovascular diseases ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Pediatrics, Perinatology and Child Health ,GLUCOSE-HOMEOSTASIS ,pulmonary diseases ,TYPE-2 DIABETES RISK ,Metabolic syndrome ,business ,Genome-Wide Association Study - Abstract
Blood eosinophil count is associated with a variety of common complex outcomes in epidemiological observation. The aim of this study was to explore the causal association between determined blood eosinophil count and 20 common complex outcomes (10 metabolic, 6 cardiac, and 4 pulmonary). Through Mendelian randomization, we investigated genetic evidence for the genetically determined eosinophil in association with each outcomes using individual-level LifeLines cohort data (n = 13,301), where a weighted eosinophil genetic risk score comprising five eosinophil associated variants was created. We further examined the associations of the genetically determined eosinophil with those outcomes using summary statistics obtained from genome-wide association study consortia (6 consortia and 14 outcomes). Blood eosinophil count, by a 1-SD genetically increased, was not statistically associated with common complex outcomes in the LifeLines. Using the summary statistics, we showed that a higher genetically determined eosinophil count had a significant association with lower odds of obesity (odds ratio (OR) 0.81, 95% confidence interval (CI) [0.74, 0.89]) but not with the other traits and diseases. To conclude, an elevated eosinophil count is unlikely to be causally associated to higher risk of metabolic, cardiac, and pulmonary outcomes. Further studies with a stronger genetic risk score for eosinophil count may support these results.
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- 2018
13. Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets
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Stefan Enroth, Robert J. Hall, James D. Crapo, Frederick E. Dewey, Victoria E. Jackson, Eleftheria Zeggini, Gudmar Thorleifsson, Terho Lehtimäki, David J. Porteous, Nicole Probst-Hensch, Ian J. Deary, A. Mesut Erzurumluoglu, Bram P. Prins, Maarten van den Berge, Craig E. Pennell, Catherine John, Terri H. Beaty, Claudia Schurmann, Michael H. Cho, Veronique Vitart, Erwin P. Bottinger, Carol A. Wang, H. Lester Kirchner, Medea Imboden, David J. Carey, Archie Campbell, Kari Stefansson, Matthias Wielscher, Ida Surakka, Igor Rudan, Shona M. Kerr, Holger Schulz, Michael A. Portelli, Thorarinn Gislason, Peter D. Paré, James F. Wilson, Boris Noyvert, Beate Stubbe, Zhengming Chen, Ruth J. F. Loos, Ma'en Obeidat, María Soler Artigas, Philippe Joubert, Kathleen C. Barnes, Christian Gieger, Andrew P. Morris, Rajesh Rawal, Yohan Bossé, Peter K. Joshi, Nadia N. Hansel, Emily S. Wan, David M. Evans, David C. Nickle, Caroline Hayward, Stefan Karrasch, Ke Hao, Tracy L. Rimington, Don D. Sin, Alan James, Stefan Jonsson, Shannon Bruse, Amanda P. Henry, Iona Y Millwood, Lara Bossini-Castillo, Ian P. Hall, David Sparrow, Ulf Gyllensten, Ian Sayers, Edwin K. Silverman, Robert Busch, David P. Strachan, Martin D. Tobin, Nick Shrine, Louise V. Wain, Robin G. Walters, Ingileif Jonsdottir, Peter D. Sly, Liming Li, Charlotte K. Billington, Anna Hansell, Omri Gottesman, Om P Kurmi, Ingo Ruczinski, Nicholas J. Wareham, Amund Gulsvik, Per Bakke, Jennie Hui, Corry-Anke Brandsma, Gosia Trynka, Anthony G. Fenech, Brian D. Hobbs, A. John Henderson, Jonathan Marten, Olli T. Raitakari, Richard J. Allen, Augusto A. Litonjua, Sarah E. Harris, Ozren Polasek, Mika Kähönen, Tineka Blake, Marjo-Riitta Järvelin, Rasika A. Mathias, Jing Hua Zhao, Julien Vaucher, Girish N. Nadkarni, Christopher E. Brightling, Groningen Research Institute for Asthma and COPD (GRIAC), Wareham, Nicholas [0000-0003-1422-2993], Zhao, Jing Hua [0000-0003-4930-3582], Marten, Jonathan [0000-0001-6916-2014], and Apollo - University of Cambridge Repository
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Male ,0301 basic medicine ,Oncology ,Genome-wide association study ,heart disease ,VARIANTS ,SUSCEPTIBILITY ,Epigenesis, Genetic ,AIR-FLOW OBSTRUCTION ,Pulmonary Disease, Chronic Obstructive ,Risk Factors ,HISTORY ,GWAS ,EPIDEMIOLOGY ,Lung ,POPULATION ,Cause of death ,Genetics & Heredity ,Aged, 80 and over ,education.field_of_study ,COPD ,Framingham Risk Score ,Chronic obstructive pulmonary disease ,Heart ,11 Medical And Health Sciences ,Middle Aged ,3. Good health ,Female ,HEALTH ,Life Sciences & Biomedicine ,Adult ,medicine.medical_specialty ,Population ,genome-wide, lungs, target ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,Internal medicine ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Allele ,education ,Alleles ,Aged ,Asthma ,Science & Technology ,ta1184 ,Odds ratio ,06 Biological Sciences ,ta3121 ,medicine.disease ,Lung function ,respiratory tract diseases ,030104 developmental biology ,Genetic Loci ,FAM13A ,Immunology ,Lungs ,Pulmonary disease ,Developmental Biology ,Genome-Wide Association Study - Abstract
Chronic obstructive pulmonary disease (COPD) is characterized by reduced lung function and is the third leading cause of death globally. Through genome-wide association discovery in 48,943 individuals, selected from extremes of the lung function distribution in UK Biobank, and follow-up in 95,375 individuals, we increased the yield of independent signals for lung function from 54 to 97. A genetic risk score was associated with COPD susceptibility (odds ratio per 1 s.d. of the risk score (similar to 6 alleles) (95% confidence interval) = 1.24 (1.20-1.27), P = 5.05 x 10(-49)), and we observed a 3.7-fold difference in COPD risk between individuals in the highest and lowest genetic risk score deciles in UK Biobank. The 97 signals show enrichment in genes for development, elastic fibers and epigenetic regulation pathways. We highlight targets for drugs and compounds in development for COPD and asthma (genes in the inositol phosphate metabolism pathway and CHRM3) and describe targets for potential drug repositioning from other clinical indications.
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- 2017
14. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits
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Yalda Jamshidi, Paul I.W. de Bakker, J. Wouter Jukema, Ilaria Gandin, Monika Stoll, Christopher P. Nelson, Moritz F. Sinner, Eco J. C. de Geus, André G. Uitterlinden, Jan A. Kors, Vilmundur Gudnason, Sheila Ulivi, Jouke-Jan Hottenga, Terho Lehtimäki, Antonietta Robino, Mark Eijgelsheim, Annamaria Iorio, Niek Verweij, Martina Müller-Nurasyid, Ian Ford, Hao Mei, James G. Wilson, Albert V. Smith, Thomas Meitinger, Gianfranco Sinagra, Claudia T. Silva Aldana, Maartje N. Niemeijer, Torben Hansen, Allan Linneberg, Jennifer A. Brody, Pim van der Harst, Stella Trompet, Paolo Gasparini, Bram P. Prins, Stefan Kääb, Hamdi Mbarek, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Dan E. Arking, Peter W. Macfarlane, Annette Peters, Olli T. Raitakari, Daiane Hemerich, Mark J. Caulfield, Folkert W. Asselbergs, Dorret I. Boomsma, Aaron Isaacs, Bruno H. Stricker, Tamara B. Harris, Susan R. Heckbert, Jessica van Setten, Niels Grarup, Patricia B. Munroe, Leo-Pekka Lyytikäinen, Nilesh J. Samani, Cornelia M. van Duijn, Elsayed Z. Soliman, Nona Sotoodehnia, Jørgen K. Kanters, Melanie Waldenberger, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, Erasmus MC other, Epidemiology, Medical Informatics, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niel, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Anita, Kors, Jan A., Linneberg, Allan, Macfarlane, Peter W., Meitinger, Thoma, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., Isaacs, Aaron, Cardiovascular Centre (CVC), Biochemie, RS: FHML MaCSBio, RS: CARIM - R1 - Thrombosis and haemostasis, and RS: Carim - B01 Blood proteins & engineering
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Male ,Netherlands Twin Register (NTR) ,Genetics ,Genetics (clinical) ,PROTEIN ,Genome-wide association study ,Quantitative trait ,Genome-wide association studies ,ANNOTATION ,Gene locus ,Electrocardiography ,Computer model ,Netherlands ,Priority journal ,Allele ,0303 health sciences ,Genome ,Rr interval ,030305 genetics & heredity ,COMMON VARIANTS ,ddc ,GLUCOCORTICOID-RECEPTOR ,Qrs interval ,Female ,Cohort analysis ,Erfðarannsóknir ,PHOSPHOLAMBAN ,Human ,QT INTERVAL DURATION ,Genotype ,Heart rate ,HEART-RATE ,Exon ,Single-nucleotide polymorphism ,Major clinical study ,Biology ,Quantitative trait locus ,Dutchman ,Polymorphism, Single Nucleotide ,QT interval ,Article ,Sample ,03 medical and health sciences ,QRS complex ,Genetic ,SDG 3 - Good Health and Well-being ,Humans ,PR interval ,Gene mapping ,Genetic association ,MUTATIONS ,Follow up ,CONTRACTILITY ,DNA-rannsóknir ,R1 ,Gene frequency ,POLYMORPHISM ,Electrocardiogram ,Single nucleotide polymorphism ,Minor allele frequency ,Genetic Loci ,Meta analysis ,Qt interval ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein), Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations: KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes., Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre.
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- 2019
15. Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation
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Wieland Kiess, Josée Dupuis, Yingchang Lu, Yii-Der Ida Chen, Sara M. Willems, George Dedoussis, Frida Renström, Carolina Medina-Gomez, Tamara B. Harris, Cramer Christensen, Audrey Y. Chu, Nicola L. Beer, Emil V. R. Appel, Niels Grarup, Fredrik Karpe, Mark I. McCarthy, Yuning Chen, Veikko Salomaa, Sylvain Sebert, Richard A. Jensen, Joel N. Hirschhorn, Lars Lind, Jocelyn E. Manning Fox, Caroline Hayward, Patrick E. MacDonald, Matti Uusitupa, Stavroula Kanoni, Carola Marzi, Kenneth Rice, Leslie A. Lange, Ken Sin Lo, Jennifer L. Asimit, Nisa M. Maruthur, Leonard Lipovich, James S. Floyd, Rona J. Strawbridge, Magdalena Zoledziewska, Anne Raimondo, Robert Sladek, Alexandra I. F. Blakemore, Hugoline G. de Haan, Danish Saleheen, Ji Chen, Neil Robertson, Ching-Yu Cheng, Heiner Boeing, Min A. Jhun, Marjo-Riitta Järvelin, Anubha Mahajan, Rainer Rauramaa, Satu Männistö, Paul M. Ridker, Ivan Brandslund, Hester M. den Ruijter, Tien Yin Wong, Alison D. Murray, Jaakko Tuomilehto, Xueling Sim, Igor Rudan, Martijn van de Bunt, Jin Li, Marit E. Jørgensen, Marie-France Hivert, Archie Campbell, Salman M. Tajuddin, Pekka Jousilahti, Lawrence F. Bielak, Juan P. Fernandez, Eleanor Wheeler, Alan B. Zonderman, Anne Clark, Lori L. Bonnycastle, Kurt Lohman, Peter Kovacs, Jung-Jin Lee, Jennifer Wessel, Wesam A Alhejily, Gerard Pasterkamp, John M. Starr, Ping An, Matthias Blüher, Jian'an Luan, Hanieh Yeghootkar, Jakob Stokholm, Michael Roden, Blair H. Smith, Johanna Jakobsdottir, Franco Giulianini, Andrianos M. Yiorkas, Hidetoshi Kitajima, Michael A. Province, Aliki-Eleni Farmaki, Kerrin S. Small, Juha Saltevo, Robert A. Scott, Alena Stančáková, Gaëlle Marenne, Asif Rasheed, Ruth J. F. Loos, David J. Porteous, Cecilia M. Lindgren, Inês Barroso, Gail Davies, Anna L. Gloyn, Shuai Wang, Paul Redmond, Xiuqing Guo, Ele Ferrannini, Mariaelisa Graff, Cornelia M. van Duijn, Juha Auvinen, David R. Weir, Kay-Tee Kaw, Tarunveer S. Ahluwalia, Olov Rolandsson, Wei Zhao, Paul Elliott, Torben Hansen, Abbas Dehghan, Bram P. Prins, Michiel L. Bots, Alison Pattie, Jun Liu, Gonçalo R. Abecasis, Maria Karaleftheri, Claudia Langenberg, Jan-Håkan Jansson, Marja Vääräsmäki, James S. Pankow, Rebecca S. Fine, Jaana Lindström, Ozren Polasek, Vinicius Tragante, Soren K. Thomsen, Jana K. Rundle, Najaf Amin, Saima Afaq, Jennifer A. Smith, Anne U. Jackson, Eirini Marouli, Weihua Zhang, Tim D. Spector, Paul W. Franks, Serena Sanna, Mark J. Caulfield, Heikki A. Koistinen, Jaspal S. Kooner, Tea Skaaby, Francis S. Collins, Eva Rabing Brix Petersen, Arfan Ikram, Sander W. van der Laan, Johanna Kuusisto, Jette Bork-Jensen, Daniel I. Chasman, Michele K. Evans, Emmanouil Tsafantakis, A. I. Tarasov, Ian J. Deary, Hans Bisgaard, Dennis O. Mook-Kanamori, Helen R. Warren, Kent D. Taylor, Andrew D. Morris, Eleftheria Zeggini, Sharon L.R. Kardia, Emma Ahlqvist, Gert J. de Borst, Torben Jørgensen, Antonella Mulas, Man Li, Betina H. Thuesen, Yuan Shi, Timo A. Lakka, Jie Yao, Tapani Ebeling, Natasha H. J. Ng, Sai Chen, Leena Kinnunen, Antje Körner, Klaus Bønnelykke, Lorraine Southam, Anette P. Gjesing, Ilonca Vaartjes, Heather M. Highland, Göran Hallmans, Anke Tönjes, Markku Laakso, Lenore J. Launer, Josef Coresh, Oscar H. Franco, Yongmei Liu, Beverley Balkau, Leena Moilanen, Karl-Heinz Herzig, James G. Wilson, Jennifer A. Brody, Renée de Mutsert, Alisa K. Manning, Anne E. Justice, Matthias B. Schulze, Sandosh Padmanabhan, Jose C. Florez, Shuang Feng, Heather M. Stringham, Bruce M. Psaty, Erwin P. Bottinger, Hannu Puolijoki, Vilmundur Gudnason, Leif Groop, Nicholas J. Wareham, Karina Meidtner, Andrew P. Morris, Taulant Muka, Benoit Hastoy, Panos Deloukas, Pirjo Komulainen, Ayse Demirkan, Francesco Cucca, Stefan Gustafsson, Eric Boerwinkle, Patrik Rorsman, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Allan Linneberg, Tiinamaija Tuomi, Dan E. Arking, Steve Franks, Jonathan Marten, Mark Walker, Ruifang Li-Gao, Kai Savonen, Michael Stumvoll, Andreas Fritsche, E-Shyong Tai, Mark O. Goodarzi, Matt J. Neville, Oluf Pedersen, Eero Kajantie, Ching-Ti Liu, Michael Boehnke, Aaron Leong, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, John C. Chambers, John Danesh, Sirkka Keinänen-Kiukaanniemi, Giorgio Pistis, Karen L. Mohlke, Folkert W. Asselbergs, James B. Meigs, Tibor V. Varga, Erica L. Kleinbrink, Andrew T. Hattersley, Nathan A. Bihlmeyer, Harald Grallert, Albert V. Smith, Konstantin Strauch, Jerome I. Rotter, and Frits R. Rosendaal
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medicine.medical_specialty ,G6PC2 ,pathways ,Adipose tissue ,Type 2 diabetes ,Biology ,effector transcript ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Diabetes mellitus ,Internal medicine ,0502 economics and business ,medicine ,Glucose homeostasis ,genetics ,050207 economics ,030304 developmental biology ,Glycemic ,0303 health sciences ,050208 finance ,Pancreatic islets ,05 social sciences ,tissue ,Genomics ,medicine.disease ,Endocrinology ,medicine.anatomical_structure ,chemistry ,glycemic traits ,Glycated hemoglobin ,type 2 diabetes ,030217 neurology & neurosurgery - Abstract
SummaryMetabolic dysregulation in multiple tissues alters glucose homeostasis and influences risk for type 2 diabetes (T2D). To identify pathways and tissues influencing T2D-relevant glycemic traits (fasting glucose [FG], fasting insulin [FI], two-hour glucose [2hGlu] and glycated hemoglobin [HbA1c]), we investigated associations of exome-array variants in up to 144,060 individuals without diabetes of multiple ancestries. Single-variant analyses identified novel associations at 21 coding variants in 18 novel loci, whilst gene-based tests revealed signals at two genes, TF (HbA1c) and G6PC (FG, FI). Pathway and tissue enrichment analyses of trait-associated transcripts confirmed the importance of liver and kidney for FI and pancreatic islets for FG regulation, implicated adipose tissue in FI and the gut in 2hGlu, and suggested a role for the non-endocrine pancreas in glucose homeostasis. Functional studies demonstrated that a novel FG/FI association at the liver-enriched G6PC transcript was driven by multiple rare loss-of-function variants. The FG/HbA1c-associated, islet-specific G6PC2 transcript also contained multiple rare functional variants, including two alleles within the same codon with divergent effects on glucose levels. Our findings highlight the value of integrating genomic and functional data to maximize biological inference.Highlights23 novel coding variant associations (single-point and gene-based) for glycemic traits51 effector transcripts highlighted different pathway/tissue signatures for each traitThe exocrine pancreas and gut influence fasting and 2h glucose, respectivelyMultiple variants in liver-enriched G6PC and islet-specific G6PC2 influence glycemia
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- 2019
16. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
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Tobias Hermle, Holger Kirsten, Karsten B. Sieber, Aiko P. J. de Vries, Su Chi Lim, Peter Kovacs, Charumathi Sabanayagam, Carl D. Langefeld, Bernhard K. Krämer, Kent D. Taylor, Janine F. Felix, Belen Ponte, Markus Loeffler, Mary F. Feitosa, Kai-Uwe Eckardt, Jianjun Liu, Katalin Dittrich, Charlene A. Wong, Uwe Völker, Adriana M. Hung, Thomas Meitinger, Anubha Mahajan, Anselm Hoppmann, Erik Ingelsson, Martin H. de Borst, Oscar H. Franco, Niek Verweij, Kai-Uwe Saum, Vilmundur Gudnason, Bram P. Prins, Carsten A. Böger, Terho Lehtimäki, Andrew A. Hicks, Todd L. Edwards, Olivier Devuyst, Peter P. Pramstaller, Katrin Horn, Leslie A. Lange, Johanne Tremblay, Jin-Fang Chai, Sahar Ghasemi, Kjell Nikus, Tanja Poulain, Massimiliano Cocca, Anna Köttgen, Eric Boerwinkle, Barry I. Freedman, Miao-Ling Chee, Man Li, Stephan J. L. Bakker, Tamara B. Harris, Albert V. Smith, Ton J. Rabelink, Dennis O. Mook-Kanamori, Iris M. Heid, Jasmin Divers, Chaolong Wang, Kathleen A. Ryan, Pavel Hamet, Silke Szymczak, Shih-Jen Hwang, Hauke Thomsen, Rainer Rettig, Ayush Giri, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Cristian Pattaro, Andrej Teren, Valencia Hui Xian Foo, Myriam Rheinberger, Audrey Y. Chu, Barbara McMullen, Franziska Grundner-Culemann, Masayuki Yasuda, Murielle Bochud, Martin Gögele, Anke Tönjes, Jeannette Lee, Adrienne Tin, Kevin Ho, Konstantin Strauch, Josef Coresh, Renée de Mutsert, Sandra Freitag-Wolf, Gardar Sveinbjornsson, Yizhe Xu, Katalin Susztak, Tien Yin Wong, Mary L. Biggs, Isleifur Olafsson, Qiong Yang, Antje Körner, Chengxiang Qiu, E-Shyong Tai, Martina Müller-Nurasyid, Ben Schöttker, Jeffrey O' Connell, Mengmeng Chen, Daniel F. Gudbjartsson, Dermot F. Reilly, Vincent W. V. Jaddoe, Damia Noce, Pim van der Harst, Sanaz Sedaghat, Chiea Chuen Khor, Adam S. Butterworth, Mathias Gorski, Robert J. Carroll, James G. Wilson, Johan Ärnlöv, Christa Meisinger, Kenneth Rice, Bettina Jung, Christian M. Shaffer, Unnur Thorsteinsdottir, Matthias Nauck, Shreeram Akilesh, Mika Kähönen, Johanna Jakobsdottir, Melanie Waldenberger, Ralph Burkhardt, Daniela Baptista, John Danesh, Benjamin B. Sun, Karlhans Endlich, Holly Kramer, Frauke Degenhardt, Wolfgang Lieb, Kari Stefansson, Joachim Thiery, Lars Lind, Nicholette D. Palmer, Sarah A. Pendergrass, Suzanne Vogelezang, Peter J. van der Most, Afshin Parsa, Markus Scholz, Florian Kronenberg, Joseph C. Maranville, Laura M. Raffield, Hermann Brenner, Wieland Kiess, Anna I. Podgornaia, Yuan Shi, Tanguy Corre, Miao-Li Chee, Deborah Mascalzoni, Bamidele O. Tayo, Navya Shilpa Josyula, Ching-Yu Cheng, Lea Gerstner, Nisha Bansal, Jerome I. Rotter, Alexander Teumer, Vilmantas Giedraitis, Raymond Noordam, Ron T. Gansevoort, Lihua Wang, Andrew P. Morris, Bruce M. Psaty, Boting Ning, Zhi Yu, Christian Fuchsberger, Matthias Wuttke, Heiko Runz, Annette Peters, Yih Chung Tham, James P. Cook, Yong Li, Chris H. L. Thio, Hilma Holm, Alessandro De Grandi, Jonathan Marten, André G. Uitterlinden, Andre Franke, Nicholas Y. Q. Tan, Otis D. Wilson, Georg Ehret, Cecilia M. Lindgren, Josyf C. Mychaleckyj, Wolfgang Koenig, Harold Snieder, Michael Stumvoll, Kozeta Miliku, M. Arfan Ikram, Teresa Nutile, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands, University of Iceland, Teumer, Alexander [0000-0002-8309-094X], Li, Yong [0000-0003-2651-8791], Wuttke, Matthias [0000-0003-3420-5082], Giri, Ayush [0000-0002-7786-4670], Qiu, Chengxiang [0000-0002-6346-8669], Kirsten, Holger [0000-0002-3126-7950], Tin, Adrienne [0000-0002-4207-5866], Feitosa, Mary F. [0000-0002-0933-2410], Chai, Jin-Fang [0000-0003-3770-1137], Cocca, Massimiliano [0000-0002-1127-7596], Gorski, Mathias [0000-0002-9103-5860], Horn, Katrin [0000-0002-5307-6936], Li, Man [0000-0002-3839-0281], Marten, Jonathan [0000-0001-6916-2014], van der Most, Peter J. [0000-0001-8450-3518], Burkhardt, Ralph [0000-0003-1924-1202], Coresh, Josef [0000-0002-4598-0669], de Borst, Martin H. [0000-0002-4127-8733], Ehret, Georg [0000-0002-5730-0675], Endlich, Karlhans [0000-0001-6052-6061], Felix, Janine F. [0000-0002-9801-5774], Franke, Andre [0000-0003-1530-5811], Freedman, Barry I. [0000-0003-0275-5530], Freitag-Wolf, Sandra [0000-0002-1069-7740], Giedraitis, Vilmantas [0000-0003-3423-2021], Grundner-Culemann, Franziska [0000-0001-9649-281X], Gudnason, Vilmundur [0000-0001-5696-0084], Hicks, Andrew A. [0000-0001-6320-0411], Ikram, M. Arfan [0000-0003-0372-8585], Ingelsson, Erik [0000-0003-2256-6972], Jaddoe, Vincent W. V. [0000-0003-2939-0041], Josyula, Navya Shilpa [0000-0003-2782-8812], Khor, Chiea-Chuen [0000-0002-1128-4729], Koenig, Wolfgang [0000-0002-2064-9603], Kovacs, Peter [0000-0002-0290-5423], Kronenberg, Florian [0000-0003-2229-1120], Lindgren, Cecilia M. [0000-0002-4903-9374], Liu, Jianjun [0000-0002-3255-3019], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Mahajan, Anubha [0000-0001-5585-3420], Mascalzoni, Deborah [0000-0003-4156-1464], Miliku, Kozeta [0000-0002-9614-7191], Müller-Nurasyid, Martina [0000-0003-3793-5910], Mychaleckyj, Josyf C. [0000-0003-2595-0005], Palmer, Nicholette D. [0000-0001-8883-2511], Poulain, Tanja [0000-0003-3825-5829], Raffield, Laura M. [0000-0002-7892-193X], Rice, Kenneth M. [0000-0002-3071-7278], Rivadeneira, Fernando [0000-0001-9435-9441], Sabanayagam, Charumathi [0000-0002-4042-4719], Smith, Albert V. [0000-0003-1942-5845], Sun, Benjamin B. [0000-0001-6347-2281], Szymczak, Silke [0000-0002-8897-9035], Taylor, Kent D. [0000-0002-2756-4370], Thio, Chris H. L. [0000-0003-2623-7172], Uitterlinden, André G. [0000-0002-7276-3387], van der Harst, Pim [0000-0002-2713-686X], Verweij, Niek [0000-0002-4303-7685], Völker, Uwe [0000-0002-5689-3448], Wang, Chaolong [0000-0003-3945-1012], Yang, Qiong [0000-0002-3658-1375], Devuyst, Olivier [0000-0003-3744-4767], Edwards, Todd L. [0000-0003-4318-6119], Ho, Kevin [0000-0002-3054-8697], Morris, Andrew P. [0000-0002-6805-6014], Pendergrass, Sarah A. [0000-0002-0565-6522], Rotter, Jerome I. [0000-0001-7191-1723], Stefansson, Kari [0000-0003-1676-864X], Susztak, Katalin [0000-0002-1005-3726], Scholz, Markus [0000-0002-4059-1779], Butterworth, Adam S. [0000-0002-6915-9015], Hung, Adriana M. [0000-0002-3203-1608], Pattaro, Cristian [0000-0002-4119-0109], Köttgen, Anna [0000-0002-4671-3714], Apollo - University of Cambridge Repository, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, Feitosa, Mary F [0000-0002-0933-2410], van der Most, Peter J [0000-0001-8450-3518], de Borst, Martin H [0000-0002-4127-8733], Felix, Janine F [0000-0002-9801-5774], Freedman, Barry I [0000-0003-0275-5530], Hicks, Andrew A [0000-0001-6320-0411], Ikram, M Arfan [0000-0003-0372-8585], Jaddoe, Vincent WV [0000-0003-2939-0041], Lindgren, Cecilia M [0000-0002-4903-9374], Mychaleckyj, Josyf C [0000-0003-2595-0005], Palmer, Nicholette D [0000-0001-8883-2511], Raffield, Laura M [0000-0002-7892-193X], Rice, Kenneth M [0000-0002-3071-7278], Smith, Albert V [0000-0003-1942-5845], Sun, Benjamin B [0000-0001-6347-2281], Taylor, Kent D [0000-0002-2756-4370], Thio, Chris HL [0000-0003-2623-7172], Uitterlinden, André G [0000-0002-7276-3387], Edwards, Todd L [0000-0003-4318-6119], Morris, Andrew P [0000-0002-6805-6014], Pendergrass, Sarah A [0000-0002-0565-6522], Rotter, Jerome I [0000-0001-7191-1723], Butterworth, Adam S [0000-0002-6915-9015], and Hung, Adriana M [0000-0002-3203-1608]
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0301 basic medicine ,Drosophila melanogaster/genetics ,Diabetes Mellitus/genetics ,LD SCORE REGRESSION ,030232 urology & nephrology ,45/43 ,General Physics and Astronomy ,Genome-wide association study ,BLOOD-PRESSURE ,Bioinformatics ,GLOMERULAR-FILTRATION-RATE ,Genome-wide association studies ,Diabetes mellitus genetics ,0302 clinical medicine ,Creatinine/urine ,Risk Factors ,Genome-wide ,Phenomics ,lcsh:Science ,ddc:616 ,Regulation of gene expression ,RISK ,Gene knockdown ,Kidney diseases ,Multidisciplinary ,HERITABILITY ,Albuminuria/genetics ,article ,Chromosome Mapping ,Kidney disease ,ddc ,3. Good health ,Drosophila melanogaster ,Creatinine ,Nýrnasjúkdómar ,692/4022/1585 ,Slit diaphragm ,Medical genetics ,medicine.symptom ,Erfðarannsóknir ,Medical Genetics ,medicine.medical_specialty ,Science ,631/208/205/2138 ,610 Medicine & health ,Biology ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Meta-Analysis as Topic ,360 Social problems & social services ,Diabetes Mellitus ,medicine ,Animals ,Humans ,Albuminuria ,Genetic Predisposition to Disease ,ddc:610 ,EXCRETION RATE ,CARDIOVASCULAR EVENTS ,Genetic association ,Medicinsk genetik ,TRANS-EQTLS ,KIDNEY-DISEASE ,General Chemistry ,030104 developmental biology ,Gene Expression Regulation ,Genetic Loci ,COLLABORATIVE METAANALYSIS ,lcsh:Q ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein)., Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria., Competing interests: Karsten B. Sieber is full-time employee of GlaxoSmithKline. Gardar Sveinbjornsson, Daniel F. Gudbjartsson, Hilma Holm, Unnur Thorsteinsdottir and Kari Stefansson are full-time employees of deCODE genetics, Amgen Inc. John Danesh is member of the Novartis Cardiovascular and Metabolic Advisory Board, received grant support from Novartis. Oscar H. Franco works in ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.), Metagenics Inc., and AXA. Wolfgang Koenig received modest consultation fees for advisory board meetings from Amgen, DalCor, Kowa, Novartis, Pfizer and Sanofi, and modest personal fees for lectures from Amgen, AstraZeneca, Novartis, Pfizer and Sanofi. Anna I. Podgornaia and Dermot F. Reilly are employees of Merck Sharp Dohme Corp., Whitehouse Station, NJ, USA. Kevin Ho disclosed a research and financial relationship with Sanofi-Genzyme. Bruce M. Psaty serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Markus Scholz: Consultancy of and grant support from Merck Serono not related to this project. Adam S. Butterworth received grants from MSD, Pfizer, Novartis, Biogen and Bioverativ and personal fees from Novartis. Anna Köttgen received grant support from Gruenenthal not related to this project. The other authors declare no competing interests.
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- 2019
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17. 52 Genetic Loci Influencing Myocardial Mass
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Alan F. Wright, Cisca Wijmenga, Bruno H. Stricker, Peter W. Macfarlane, Edward G. Lakatta, Uwe Völker, Lenore J. Launer, Olli T. Raitakari, Stephan B. Felix, Toshiko Tanaka, Osorio Meirelles, Phil Barnett, Thomas Meitinger, Albert Hofman, Bosco Trinh, Tamara B. Harris, Peter M. Okin, Axel Visel, Teresa Nutile, Claudia T. Silva, Harry Campbell, Ilja M. Nolte, M. Fabiola Del Greco, Terho Lehtimäki, Shih-Jen Hwang, Alicia Lundby, Kamil Slowikowski, Luigi Ferrucci, Joshua C. Bis, Jerome I. Rotter, Nona Sotoodehnia, Sebastian Schafer, Igor Rudan, Ozren Polasek, Vinicius Tragante, Kenneth Rice, Connie R. Bezzina, Siegfried Perz, Aravinda Chakravarti, Paul I.W. de Bakker, Jared W. Magnani, Xinchen Wang, Yigal M. Pinto, Carsten Oliver Schmidt, Marcus Dörr, Peter P. Pramstaller, Jobanpreet Sehmi, Susan R. Heckbert, Richard B. Devereux, Jesper V. Olsen, Sheila Ulivi, Shane Neph, Peter M. Visscher, James F. Wilson, Alexander Nord, Tim D. Spector, Stefan Kääb, Elsayed Z. Soliman, Weihua Zhang, Lin Y. Chen, Pim van der Harst, Veronique Vitart, Anna F. Dominiczak, Mark Eijgelsheim, Pieter A. Doevendans, Josef M. Penninger, Jaspal S. Kooner, Georg Vogler, Patricia B. Munroe, Soumya Raychaudhuri, Christian Gieger, Harold Snieder, Annamaria Iorio, Caroline Hayward, Yalda Jamshidi, Mika Kähönen, Jessica van Setten, Wilko Spiering, Ian Ford, Andrew A. Hicks, John C. Chambers, Joel N. Hirschhorn, Matthew T. Maurano, Niek Verweij, Maria Grazia Pilia, Rolf Bodmer, Vilmundur Gudnason, Ben A. Oostra, Megan V. Cannon, Nilesh J. Samani, Bruce H. R. Wolffenbuttel, Annette Peters, David Schlessinger, Daniel Levy, J. Wouter Jukema, Malou van den Boogaard, Brendan M. Buckley, Arne Pfeufer, Michiel E. Adriaens, Rossella Sorice, Matthias Heinig, Jian Yang, Norbert Hubner, Stefania Bandinelli, André G. Uitterlinden, Hans L. Hillege, Martina Müller-Nurasyid, Andres Metspalu, Eric Haugen, Laurie A. Boyer, Ronald P. Stolk, Gonçalo R. Abecasis, Dan E. Arking, Manolis Kellis, Ishminder K. Kooner, Leo-Pekka Lyytikäinen, Dena G. Hernandez, Dirk J. van Veldhuisen, Len A. Pennacchio, Kasper Lage, Gianfranco Sinagra, Bruce M. Psaty, Christopher Newton-Cheh, Cornelia M. van Duijn, Stefania Nappo, Dalit May, Paolo Gasparini, Elizabeth J. Rossin, Rudolf A. de Boer, Alessandro P Delitala, Tõnu Esko, John A. Stamatoyannopoulos, Aaron Isaacs, Kathleen F. Kerr, Sian Tsung Tan, Tune H. Pers, Serena Sanna, Melanie Waldenberger, Marina Ciullo, Jorma Viikari, Vincent M. Christoffels, Bram P. Prins, Alvaro Alonso, Sandosh Padmanabhan, Harm-Jan Westra, Moritz F. Sinner, Albert V. Smith, Kirill V. Tarasov, Konstantin Strauch, Wiek H. van Gilst, Christian X. Weichenberger, Lude Franke, Folkert W. Asselbergs, Herman H W Silljé, Jan A. Kors, Irene Mateo Leach, Karl Andersen, Ivana Kolcic, Stella Trompet, Silvia Naitza, Broad Institute of MIT and Harvard, Raychaudhuri, Soumya, Sciences, RS: FSE MaCSBio, RS: FPN MaCSBio, RS: FHML MaCSBio, Biochemie, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, Maastricht Centre for Systems Biology, Fysiologie, RS: Carim - B01 Blood proteins & engineering, Graduate School, ANS - Cellular & Molecular Mechanisms, ANS - Neuroinfection & -inflammation, AGEM - Endocrinology, metabolism and nutrition, Medical Biology, ACS - Heart failure & arrhythmias, ARD - Amsterdam Reproduction and Development, Intensive Care Medicine, Other Research, Cardiology, Ophthalmology, ACS - Amsterdam Cardiovascular Sciences, Center of Experimental and Molecular Medicine, AII - Inflammatory diseases, AII - Infectious diseases, ACS - Pulmonary hypertension & thrombosis, Gastroenterology and Hepatology, Experimental Immunology, Erasmus MC other, Epidemiology, Public Health, Medical Informatics, Clinical Genetics, Internal Medicine, Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), van der Harst, Pim, van Setten, Jessica, Verweij, Niek, Vogler, Georg, Franke, Lude, Maurano, Matthew T., Wang, Xinchen, Mateo Leach, Irene, Eijgelsheim, Mark, Sotoodehnia, Nona, Hayward, Caroline, Sorice, Rossella, Meirelles, Osorio, Lyytikäinen, Leo Pekka, Polašek, Ozren, Tanaka, Toshiko, Arking, Dan E., Ulivi, Sheila, Trompet, Stella, Müller Nurasyid, Martina, Smith, Albert V., Dörr, Marcu, Kerr, Kathleen F., Magnani, Jared W., Fabiola, Del Greco M., Zhang, Weihua, Nolte, Ilja M., Silva, Claudia T., Padmanabhan, Sandosh, Tragante, Viniciu, Esko, Tõnu, Abecasis, Gonçalo R., Adriaens, Michiel E., Andersen, Karl, Barnett, Phil, Bis, Joshua C., Bodmer, Rolf, Buckley, Brendan M., Campbell, Harry, Cannon, Megan V., Chakravarti, Aravinda, Chen, Lin Y., Delitala, Alessandro, Devereux, Richard B., Doevendans, Pieter A., Dominiczak, Anna F., Ferrucci, Luigi, Ford, Ian, Gieger, Christian, Harris, Tamara B., Haugen, Eric, Heinig, Matthia, Hernandez, Dena G., Hillege, Hans L., Hirschhorn, Joel N., Hofman, Albert, Hubner, Norbert, Hwang, Shih Jen, Iorio, Annamaria, Kähönen, Mika, Kellis, Manoli, Kolcic, Ivana, Kooner, Ishminder K., Kooner, Jaspal S., Kors, Jan A., Lakatta, Edward G., Lage, Kasper, Launer, Lenore J., Levy, Daniel, Lundby, Alicia, Macfarlane, Peter W., May, Dalit, Meitinger, Thoma, Metspalu, Andre, Nappo, Stefania, Naitza, Silvia, Neph, Shane, Nord, Alex S., Nutile, Teresa, Okin, Peter M., Olsen, Jesper V., Oostra, Ben A., Penninger, Josef M., Pennacchio, Len A., Pers, Tune H., Perz, Siegfried, Peters, Annette, Pinto, Yigal M., Pfeufer, Arne, Pilia, Maria Grazia, Pramstaller, Peter P., Prins, Bram P., Raitakari, Olli T., Rice, Ken M., Rossin, Elizabeth J., Rotter, Jerome I., Schafer, Sebastian, Schlessinger, David, Schmidt, Carsten O., Sehmi, Jobanpreet, Silljé, Herman H. W., Sinagra, Gianfranco, Sinner, Moritz F., Slowikowski, Kamil, Soliman, Elsayed Z., Spector, Timothy D., Spiering, Wilko, Stamatoyannopoulos, John A., Stolk, Ronald P., Strauch, Konstantin, Tan, Sian Tsung, Tarasov, Kirill V., Trinh, Bosco, Uitterlinden, Andre G., van den Boogaard, Malou, van Duijn, Cornelia M., van Gilst, Wiek H., Viikari, Jorma S., Visscher, Peter M., Vitart, Veronique, Völker, Uwe, Waldenberger, Melanie, Weichenberger, Christian X., Westra, Harm Jan, Wijmenga, Cisca, Wolffenbuttel, Bruce H., Yang, Jian, Bezzina, Connie R., Munroe, Patricia B., Snieder, Harold, Wright, Alan F., Rudan, Igor, Boyer, Laurie A., Asselbergs, Folkert W., van Veldhuisen, Dirk J., Stricker, Bruno H., Psaty, Bruce M., Ciullo, Marina, Sanna, Serena, Lehtimäki, Terho, Wilson, James F., Bandinelli, Stefania, Alonso, Alvaro, Gasparini, Paolo, Jukema, J. Wouter, Kääb, Stefan, Gudnason, Vilmundur, Felix, Stephan B., Heckbert, Susan R., de Boer, Rudolf A., Newton Cheh, Christopher, Hicks, Andrew A., Chambers, John C., Jamshidi, Yalda, Visel, Axel, Christoffels, Vincent M., Isaacs, Aaron, Samani, Nilesh J., and de Bakker, Paul I. W.
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0301 basic medicine ,Biological functions ,Qrs ,Electrocardiogram ,Genetic Association Study ,Heart Failure ,Left Ventricular Hypertrophy ,Candidate gene ,Cardiac & Cardiovascular Systems ,heart failure ,Genome-wide association study ,ELECTROCARDIOGRAM ,030204 cardiovascular system & hematology ,SCN5A gene ,Gene locus ,DISEASE ,Muscle hypertrophy ,In vivo study ,0302 clinical medicine ,Sodium channel Nav1.5 ,REGULATORY DNA ,Sodium channel Nav1.8 ,Cardiac muscle ,CARDIAC-HYPERTROPHY ,Priority journal ,RISK ,Genetics ,Validation study ,Heart ,Genetic parameters ,Reliability ,Chromatin ,left ventricular hypertrophy ,GENOME ,Drosophila melanogaster ,Phenotype ,medicine.anatomical_structure ,1117 Public Health And Health Services ,genetic association study ,Cardiology ,cardiovascular system ,HEART ,Functional assessment ,Histone modification ,Cardiology and Cardiovascular Medicine ,Genetic trait ,Life Sciences & Biomedicine ,Human ,medicine.medical_specialty ,Cardiomegaly ,Locus (genetics) ,Major clinical study ,electrocardiogram ,European ,QRS ,1102 Cardiovascular Medicine And Haematology ,Article ,03 medical and health sciences ,QRS complex ,LEFT-VENTRICULAR HYPERTROPHY ,Internal medicine ,Journal Article ,medicine ,Mus musculus ,Protein binding ,Animals ,Humans ,SCN10A gene ,VOLTAGE ,Cardiovascular parameters ,Heart ventricle hypertrophy ,Science & Technology ,Human genome ,Animal ,business.industry ,MORTALITY ,In vitro study ,ta3121 ,medicine.disease ,DYSFUNCTION ,030104 developmental biology ,Gene identification ,Cardiovascular System & Hematology ,Genetic Loci ,Heart failure ,Expression quantitative trait loci ,Genetic association ,Meta analysis (topic) ,Cardiovascular System & Cardiology ,Genetic variability ,Transcription factor ,Myocardial mass ,business - Abstract
BACKGROUND Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death.OBJECTIVES This meta-analysis sought to gain insights into the genetic determinants of myocardial mass.METHODS We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment.RESULTS We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p CONCLUSIONS Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets. (C) 2016 by the American College of Cardiology Foundation.
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- 2016
18. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders
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Symen Ligthart, Ahmad Vaez, Urmo Võsa, Maria G. Stathopoulou, Paul S. de Vries, Bram P. Prins, Peter J. Van der Most, Toshiko Tanaka, Elnaz Naderi, Lynda M. Rose, Ying Wu, Robert Karlsson, Maja Barbalic, Honghuang Lin, René Pool, Gu Zhu, Aurélien Macé, Carlo Sidore, Stella Trompet, Massimo Mangino, Maria Sabater-Lleal, John P. Kemp, Ali Abbasi, Tim Kacprowski, Niek Verweij, Albert V. Smith, Tao Huang, Carola Marzi, Mary F. Feitosa, Kurt K. Lohman, Marcus E. Kleber, Yuri Milaneschi, Christian Mueller, Mahmudul Huq, Efthymia Vlachopoulou, Leo-Pekka Lyytikäinen, Christopher Oldmeadow, Joris Deelen, Markus Perola, Jing Hua Zhao, Bjarke Feenstra, Marzyeh Amini, Jari Lahti, Katharina E. Schraut, Myriam Fornage, Bhoom Suktitipat, Wei-Min Chen, Xiaohui Li, Teresa Nutile, Giovanni Malerba, Jian’an Luan, Tom Bak, Nicholas Schork, Fabiola Del Greco M., Elisabeth Thiering, Anubha Mahajan, Riccardo E. Marioni, Evelin Mihailov, Joel Eriksson, Ayse Bilge Ozel, Weihua Zhang, Maria Nethander, Yu-Ching Cheng, Stella Aslibekyan, Wei Ang, Ilaria Gandin, Loïc Yengo, Laura Portas, Charles Kooperberg, Edith Hofer, Kumar B. Rajan, Claudia Schurmann, Wouter den Hollander, Tarunveer S. Ahluwalia, Jing Zhao, Harmen H.M. Draisma, Ian Ford, Nicholas Timpson, Alexander Teumer, Hongyan Huang, Simone Wahl, YongMei Liu, Jie Huang, Hae-Won Uh, Frank Geller, Peter K. Joshi, Lisa R. Yanek, Elisabetta Trabetti, Benjamin Lehne, Diego Vozzi, Marie Verbanck, Ginevra Biino, Yasaman Saba, Ingrid Meulenbelt, Jeff R. O’Connell, Markku Laakso, Franco Giulianini, Patrik K.E. Magnusson, Christie M. Ballantyne, Jouke Jan Hottenga, Grant W. Montgomery, Fernando Rivadineira, Rico Rueedi, Maristella Steri, Karl-Heinz Herzig, David J. Stott, Cristina Menni, Mattias Frånberg, Beate St. Pourcain, Stephan B. Felix, Tune H. Pers, Stephan J.L. Bakker, Peter Kraft, Annette Peters, Dhananjay Vaidya, Graciela Delgado, Johannes H. Smit, Vera Großmann, Juha Sinisalo, Ilkka Seppälä, Stephen R. Williams, Elizabeth G. Holliday, Matthijs Moed, Claudia Langenberg, Katri Räikkönen, Jingzhong Ding, Harry Campbell, Michele M. Sale, Yii-Der I. Chen, Alan L. James, Daniela Ruggiero, Nicole Soranzo, Catharina A. Hartman, Erin N. Smith, Gerald S. Berenson, Christian Fuchsberger, Dena Hernandez, Carla M.T. Tiesler, Vilmantas Giedraitis, David Liewald, Krista Fischer, Dan Mellström, Anders Larsson, Yunmei Wang, William R. Scott, Matthias Lorentzon, John Beilby, Kathleen A. Ryan, Craig E. Pennell, Dragana Vuckovic, Beverly Balkau, Maria Pina Concas, Reinhold Schmidt, Carlos F. Mendes de Leon, Erwin P. Bottinger, Margreet Kloppenburg, Lavinia Paternoster, Michael Boehnke, A.W. Musk, Gonneke Willemsen, David M. Evans, Pamela A.F. Madden, Mika Kähönen, Zoltán Kutalik, Magdalena Zoledziewska, Ville Karhunen, Stephen B. Kritchevsky, Naveed Sattar, Genevieve Lachance, Robert Clarke, Tamara B. Harris, Olli T. Raitakari, John R. Attia, Diana van Heemst, Eero Kajantie, Rossella Sorice, Giovanni Gambaro, Robert A. Scott, Andrew A. Hicks, Luigi Ferrucci, Marie Standl, Cecilia M. Lindgren, John M. Starr, Magnus Karlsson, Lars Lind, Jun Z. Li, John C. Chambers, Trevor A. Mori, Eco J.C.N. de Geus, Andrew C. Heath, Nicholas G. Martin, Juha Auvinen, Brendan M. Buckley, Anton J.M. de Craen, Melanie Waldenberger, Konstantin Strauch, Thomas Meitinger, Rodney J. Scott, Mark McEvoy, Marian Beekman, Cristina Bombieri, Paul M. Ridker, Karen L. Mohlke, Nancy L. Pedersen, Alanna C. Morrison, Dorret I. Boomsma, John B. Whitfield, David P. Strachan, Albert Hofman, Peter Vollenweider, Francesco Cucca, Marjo-Riitta Jarvelin, J. Wouter Jukema, Tim D. Spector, Anders Hamsten, Tanja Zeller, André G. Uitterlinden, Matthias Nauck, Vilmundur Gudnason, Lu Qi, Harald Grallert, Ingrid B. Borecki, Jerome I. Rotter, Winfried März, Philipp S. Wild, Marja-Liisa Lokki, Michael Boyle, Veikko Salomaa, Mads Melbye, Johan G. Eriksson, James F. Wilson, Brenda W.J.H. Penninx, Diane M. Becker, Bradford B. Worrall, Greg Gibson, Ronald M. Krauss, Marina Ciullo, Gianluigi Zaza, Nicholas J. Wareham, Albertine J. Oldehinkel, Lyle J. Palmer, Sarah S. Murray, Peter P. Pramstaller, Stefania Bandinelli, Joachim Heinrich, Erik Ingelsson, Ian J. Deary, Reedik Mägi, Liesbeth Vandenput, Pim van der Harst, Karl C. Desch, Jaspal S. Kooner, Claes Ohlsson, Caroline Hayward, Terho Lehtimäki, Alan R. Shuldiner, Donna K. Arnett, Lawrence J. Beilin, Antonietta Robino, Philippe Froguel, Mario Pirastu, Tine Jess, Wolfgang Koenig, Ruth J.F. Loos, Denis A. Evans, Helena Schmidt, George Davey Smith, P. Eline Slagboom, Gudny Eiriksdottir, Andrew P. Morris, Bruce M. Psaty, Russell P. Tracy, Ilja M. Nolte, Eric Boerwinkle, Sophie Visvikis-Siest, Alex P. Reiner, Myron Gross, Joshua C. Bis, Lude Franke, Oscar H. Franco, Emelia J. Benjamin, Daniel I. Chasman, Josée Dupuis, Harold Snieder, Abbas Dehghan, Behrooz Z. Alizadeh, H. Marike Boezen, Gerjan Navis, Marianne Rots, Morris Swertz, Bruce H.R. Wolffenbuttel, Cisca Wijmenga, Emelia Benjamin, Tarunveer Singh Ahluwalia, James Meigs, Russell Tracy, Josh Bis, Nathan Pankratz, Alex Rainer, James G. Wilson, Josee Dupuis, Bram Prins, Urmo Vaso, Maria Stathopoulou, Terho Lehtimaki, Yalda Jamshidi, Sophie Siest, Andre G. Uitterlinden, Mohammadreza Abdollahi, Renate Schnabel, Ursula M. Schick, Aldi Kraja, Yi-Hsiang Hsu, Daniel S. Tylee, Alyson Zwicker, Rudolf Uher, George Davey-Smith, Andrew Hicks, Cornelia M. van Duijn, Cavin Ward-Caviness, J. Rotter, Ken Rice, Leslie Lange, Eco de Geus, Kari Matti Makela, David Stacey, Johan Eriksson, Tim M. Frayling, Eline P. Slagboom, Erasmus University Medical Center [Rotterdam] (Erasmus MC), University Medical Center Groningen [Groningen] (UMCG), University of Isfahan, University of Tartu, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), The University of Texas Health Science Center at Houston (UTHealth), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Brigham and Women's Hospital [Boston], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], University of Split, Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Process & Energy Laboratory, Delft University of Technology (TU Delft), Grand Lyon : communauté urbaine de Lyon, Interuniversity Cardiology Institute Netherlands, Department of Twin Research and Genetic Epidemiology, King's College London, London, Huazhong University of Science and Technology [Wuhan] (HUST), Division of Statistical Genomics, Washington University School of Medicine, Department of Psychiatry, VU University Medical Center [Amsterdam], Institut fuer Theoretische Physik (Institut fuer Theoretische Physik), Universität Heidelberg [Heidelberg] = Heidelberg University, Molecular Epidemiology, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Mahidol University [Bangkok], Northwest A and F University, Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Institute of Genetics and Biophysics, CNR, Naples, Università degli studi di Verona = University of Verona (UNIVR), Department of Molecular Medicine [Scripps Research Institute], The Scripps Research Institute [La Jolla, San Diego], Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Department of Electrical and Computer Engineering [Waterloo] (ECE), University of Waterloo [Waterloo], University of Maryland School of Medicine, University of Maryland System, Institut National de l'Environnement Industriel et des Risques (INERIS), Institute of Pop. Genetics, CNR, Sassari, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, IT University of Copenhagen (ITU), Robertson Centre for Biostatistics, University of Glasgow, Centre for Causal Analyses in Translational Epidemiology, University of Bristol [Bristol]-Medical Research Council, King‘s College London, Jinan University [Guangzhou], Institute of Oceanology [China], School Medicine, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Shardna life science Pula Cagliari, Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Medstar Research Institute, Department of Cardiology, Ernst-Moritz-Arndt University, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Department of Epidemiology, Harvard School of Public Health, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Metacohorts Consortium, INEOS Technologies (SWITZERLAND), MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, University of Edinburgh, School of Population Health [Crawley, Western Australia], The University of Western Australia (UWA), Institute of Genetics and Biophysics, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), The Scripps Translational Science Institute and Scripps Health, Tulane Center for Cardiovascular Health, Tulane University Health Sciences Center, Centre for Population Health Sciences, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Luleå University of Technology (LUT), Recherche en épidémiologie et biostatistique, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Austrian Institute of Technology [Vienna] (AIT), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Rheumatology and Clinical Epidemiology, Leiden University Medical Center (LUMC), Department of Rheumatology and Clinical Epidemiology [Leiden University Medical Center] (LUMC), Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden-Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Virginia, Tampere University Hospital, Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Department of Pathological Biochemistry, Royal Infirmary, Oxford University, University of Oxford, University of Newcastle [Callaghan, Australia] (UoN), Department of neurology, Institute of Metabolic Science, MRC, The Wellcome Trust Centre for Human Genetics [Oxford], Uppsala Universitet [Uppsala], QIMR Berghofer Medical Research Institute, Institute of Genetic Epidemiology [Neuherberg, Germany], Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Schizophrenia Research Institute [Sydney], Department of Genetics, University of North Carolina System (UNC)-University of North Carolina System (UNC), Vrije Universiteit Brussel (VUB), Population Health Sciences and Education, St George's University of London, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Institute of Health Sciences and Biocenter Oulu, University of Oulu, Medizinische Klinik und Poliklinik, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Institute of Clinical Chemistry and Laboratory Medicine, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Departments of Epidemiology and Nutrition, Institute of Epidemiology [Neuherberg] (EPI), Medical University Graz, Transplantation Laboratory [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], CLinical Psychology, Genetics and Pathology, Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Center For Narcolepsy, Stanford University, Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, MRC Human Gentics Unit, Inst Genet and Mol Med, Western General Hospital, Edinburgh, University of Maryland School of Medicine [Baltimore, MD, USA], Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Department of Physics [Stockholm], Stockholm University, University of Bristol [Bristol], Universiteit Leiden, Department of Epidemiology, University of Washington, University of Washington [Seattle], Department of Epidemiology [Rotterdam], University of Groningen [Groningen], Dutch Initiative on Crohn and Colitis (ICC), Icelandic Heart Association [Kopavogur, Iceland] (IHA), Department of Physiology and Biophysics [Jackson, MS, USA], University of Southern Mississippi (USM), Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Faculty of Medicine and Life Sciences [Tampere], University of Tampere [Finland], German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council-Cardiff University, Department of Social Medicine, School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Department of Medicine [Aurora, CO, USA], University of Colorado [Denver], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Mathematical Institute [Oxford] (MI), Institute of Psychiatry, Psychology & Neuroscience, King's College London, LifeLines Cohort Study, CHARGE Inflammation Working Group, Ligthart, S., Vaez, A., Vosa, U., Stathopoulou, M. G., de Vries, P. S., Prins, B. P., Van der Most, P. J., Tanaka, T., Naderi, E., Rose, L. M., Wu, Y., Karlsson, R., Barbalic, M., Lin, H., Pool, R., Zhu, G., Mace, A., Sidore, C., Trompet, S., Mangino, M., Sabater-Lleal, M., Kemp, J. P., Abbasi, A., Kacprowski, T., Verweij, N., Smith, A. V., Huang, T., Marzi, C., Feitosa, M. F., Lohman, K. K., Kleber, M. E., Milaneschi, Y., Mueller, C., Huq, M., Vlachopoulou, E., Lyytikainen, L. -P., Oldmeadow, C., Deelen, J., Perola, M., Zhao, J. H., Feenstra, B., Alizadeh, B. Z., Boezen, H. M., Franke, L., van der Harst, P., Navis, G., Rots, M., Snieder, H., Swertz, M., Wolffenbuttel, B. H. R., Wijmenga, C., Amini, M., Benjamin, E., Chasman, D. I., Dehghan, A., Ahluwalia, T. S., Meigs, J., Tracy, R., Bis, J., Eiriksdottir, G., Pankratz, N., Gross, M., Rainer, A., Wilson, J. G., Psaty, B. M., Dupuis, J., Prins, B., Vaso, U., Stathopoulou, M., Lehtimaki, T., Koenig, W., Jamshidi, Y., Siest, S., Uitterlinden, A. G., Abdollahi, M., Schnabel, R., Schick, U. M., Nolte, I. M., Kraja, A., Hsu, Y. -H., Tylee, D. S., Zwicker, A., Uher, R., Davey-Smith, G., Morrison, A. C., Hicks, A., van Duijn, C. M., Ward-Caviness, C., Boerwinkle, E., Rotter, J., Rice, K., Lange, L., de Geus, E., Morris, A. P., Makela, K. M., Stacey, D., Eriksson, J., Frayling, T. M., Slagboom, E. P., Lahti, J., Schraut, K. E., Fornage, M., Suktitipat, B., Chen, W. -M., Li, X., Nutile, T., Malerba, G., Luan, J., Bak, T., Schork, N., Del Greco, M. F., Thiering, E., Mahajan, A., Marioni, R. E., Mihailov, E., Ozel, A. B., Zhang, W., Nethander, M., Cheng, Y. -C., Aslibekyan, S., Ang, W., Gandin, I., Yengo, L., Portas, L., Kooperberg, C., Hofer, E., Rajan, K. B., Schurmann, C., den Hollander, W., Zhao, J., Draisma, H. H. M., Ford, I., Timpson, N., Teumer, A., Huang, H., Wahl, S., Liu, Y., Huang, J., Uh, H. -W., Geller, F., Joshi, P. K., Yanek, L. R., Trabetti, E., Lehne, B., Vozzi, D., Verbanck, M., Biino, G., Saba, Y., Meulenbelt, I., O'Connell, J. R., Laakso, M., Giulianini, F., Magnusson, P. K. E., Ballantyne, C. M., Hottenga, J. J., Montgomery, G. W., Rivadineira, F., Rueedi, R., Steri, M., Herzig, K. -H., Stott, D. J., Menni, C., Franberg, M., S, t. Pourcain B., Felix, S. B., Pers, T. H., Bakker, S. J. L., Kraft, P., Peters, A., Vaidya, D., Delgado, G., Smit, J. H., Grossmann, V., Sinisalo, J., Seppala, I., Williams, S. R., Holliday, E. G., Moed, M., Langenberg, C., Raikkonen, K., Ding, J., Campbell, H., Sale, M. M., Chen, Y. -D. I., James, A. L., Ruggiero, D., Soranzo, N., Hartman, C. A., Smith, E. N., Berenson, G. S., Fuchsberger, C., Hernandez, D., Tiesler, C. M. T., Giedraitis, V., Liewald, D., Fischer, K., Mellstrom, D., Larsson, A., Wang, Y., Scott, W. R., Lorentzon, M., Beilby, J., Ryan, K. A., Pennell, C. E., Vuckovic, D., Balkau, B., Concas, M. P., Schmidt, R., Mendes de Leon, C. F., Bottinger, E. P., Kloppenburg, M., Paternoster, L., Boehnke, M., Musk, A. W., Willemsen, G., Evans, D. M., Madden, P. A. F., Kahonen, M., Kutalik, Z., Zoledziewska, M., Karhunen, V., Kritchevsky, S. B., Sattar, N., Lachance, G., Clarke, R., Harris, T. B., Raitakari, O. T., Attia, J. R., van Heemst, D., Kajantie, E., Sorice, R., Gambaro, G., Scott, R. A., Hicks, A. A., Ferrucci, L., Standl, M., Lindgren, C. M., Starr, J. M., Karlsson, M., Lind, L., Li, J. Z., Chambers, J. C., Mori, T. A., de Geus, E. J. C. N., Heath, A. C., Martin, N. G., Auvinen, J., Buckley, B. M., de Craen, A. J. M., Waldenberger, M., Strauch, K., Meitinger, T., Scott, R. J., Mcevoy, M., Beekman, M., Bombieri, C., Ridker, P. M., Mohlke, K. L., Pedersen, N. L., Boomsma, D. I., Whitfield, J. B., Strachan, D. P., Hofman, A., Vollenweider, P., Cucca, F., Jarvelin, M. -R., Jukema, J. W., Spector, T. D., Hamsten, A., Zeller, T., Nauck, M., Gudnason, V., Qi, L., Grallert, H., Borecki, I. B., Rotter, J. I., Marz, W., Wild, P. S., Lokki, M. -L., Boyle, M., Salomaa, V., Melbye, M., Eriksson, J. G., Wilson, J. F., Penninx, B. W. J. H., Becker, D. M., Worrall, B. B., Gibson, G., Krauss, R. M., Ciullo, M., Zaza, G., Wareham, N. J., Oldehinkel, A. J., Palmer, L. J., Murray, S. S., Pramstaller, P. P., Bandinelli, S., Heinrich, J., Ingelsson, E., Deary, I. J., Magi, R., Vandenput, L., Desch, K. C., Kooner, J. S., Ohlsson, C., Hayward, C., Shuldiner, A. R., Arnett, D. K., Beilin, L. J., Robino, A., Froguel, P., Pirastu, M., Jess, T., Loos, R. J. F., Evans, D. A., Schmidt, H., Slagboom, P. E., Tracy, R. P., Visvikis-Siest, S., Reiner, A. P., Bis, J. C., Franco, O. H., Benjamin, E. J., AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, Epidemiology, Internal Medicine, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), VU University medical center, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, APH - Digital Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Universität Heidelberg [Heidelberg], University of Verona (UNIVR), Department of Molecular and Experimental Medicine, The Scripps Research Institute, The Scripps Research Institute, Université Grenoble Alpes - UFR Sciences de l'Homme et de la Société (UGA UFR SHS), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), IT University of Copenhagen, Technical University of Denmark [Lyngby] (DTU), Consiglio Nazionale delle Ricerche (CNR), University of Virginia [Charlottesville], Université de Lausanne (UNIL), University of Oxford [Oxford], University of Newcastle [Australia] (UoN), Centre d'économie industrielle i3 (CERNA i3), Centre National de la Recherche Scientifique (CNRS)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Helmholtz-Zentrum München (HZM), Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Universitätsmedizin der Johannes-Gutenberg Universität Mainz, University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Cardiff University-Medical Research Council, University of California-University of California, and DE CARVALHO, Philippe
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0301 basic medicine ,Male ,Netherlands Twin Register (NTR) ,Bipolar Disorder ,LD SCORE REGRESSION ,[SDV]Life Sciences [q-bio] ,Genome-wide association study ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Body Mass Index ,inflammatory disorder ,80 and over ,WIDE ASSOCIATION ,EPIDEMIOLOGY ,ta318 ,International HapMap Project ,Child ,Genetics (clinical) ,2. Zero hunger ,Genetics ,Genetics & Heredity ,Aged, 80 and over ,[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,C-reactive proteingenome-wide association studyinflammationMendelian randomizationinflammatory disordersDEPICTcoronary artery diseaseschizophreniasystem biology ,system biology ,DEPICT ,Mendelian Randomization Analysis ,11 Medical And Health Sciences ,Middle Aged ,C-reactive protein ,coronary artery disease ,genome-wide association study ,inflammation ,inflammatory disorders ,Mendelian randomization ,schizophrenia ,Adolescent ,Adult ,Aged ,Biomarkers ,C-Reactive Protein ,Female ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Inflammation ,Liver ,Metabolic Networks and Pathways ,Schizophrenia ,Young Adult ,3. Good health ,[SDV] Life Sciences [q-bio] ,Medical genetics ,Biomarker (medicine) ,Life Sciences & Biomedicine ,Human ,medicine.medical_specialty ,CHARGE Inflammation Working Group ,Biology ,IMMUNITY ,ta3111 ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,CORONARY-HEART-DISEASE ,Mendelian Randomization Analysi ,1000 Genomes Project ,METAANALYSIS ,Genetic association ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Science & Technology ,ta1184 ,Metabolic Networks and Pathway ,Biomarker ,INSTRUMENTS ,06 Biological Sciences ,030104 developmental biology ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,LifeLines Cohort Study - Abstract
International audience; C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10-8). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.Copyright © 2018 American Society of Human Genetics. All rights reserved.
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- 2018
19. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
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George Dedoussis, M. Arfan Ikram, Marit E. Jørgensen, Christian Herder, Gudmar Thorleifsson, Oscar H. Franco, Xueling Sim, Philippe Froguel, Symen Ligthart, Ellen M. Schmidt, Jason M. Torres, Karen L. Mohlke, Markku Laakso, Barbara Thorand, Erwin P. Bottinger, Matthias Thurner, Torben Hansen, Jerome I. Rotter, Weihua Zhang, Ching-Ti Liu, Michael Boehnke, Kristi Läll, Konstantin Strauch, Kent D. Taylor, Andrew D. Morris, Daniel R. Witte, Anna L. Gloyn, Jonathan Marchini, Andres Metspalu, Florian Kronenberg, Anubha Mahajan, Claudia Schurmann, Jennifer Kriebel, James S. Pankow, Matthias Wuttke, Valeriya Lyssenko, Jose C. Florez, Josée Dupuis, Patricia A. Peyser, Leif Groop, John C. Chambers, Torben Jørgensen, Timothy M. Frayling, Lawrence F. Bielak, Nicholas J. Wareham, Thomas Meitinger, Alena Stančáková, Vasiliki Mamakou, Cramer Christensen, Michael Preuss, Bram P. Prins, Niels Grarup, Amanda J. Bennett, Vilmantas Giedraitis, Jian'an Luan, Young-Jin Kim, Mickaël Canouil, Robert A. Scott, Kari Stefansson, Jana Nano, Donald W. Bowden, Oluf Pedersen, Cécile Lecoeur, Anna Köttgen, Jette Bork-Jensen, Francis S. Collins, Unnur Thorsteinsdottir, Naveed Sattar, Stella Trompet, Martin Ingelsson, Maggie C.Y. Ng, Jaakko Tuomilehto, Reedik Mägi, James B. Meigs, Lauren E. Petty, J. Wouter Jukema, Andrew T. Hattersley, Claudia Langenberg, Harald Grallert, Christian Gieger, Chad M. Brummett, Ian Ford, Andrew P. Morris, James P. Cook, Vibe Nylander, Sebastian Schönherr, Daniel Taliun, Xiuqing Guo, Valgerdur Steinthorsdottir, Cecilia M. Lindgren, Jennifer E. Below, Eleftheria Zeggini, Anthony Payne, Loic Yengo, Sharon L.R. Kardia, Neil R. Robertson, Abbas Dehghan, Ivan Brandslund, Erik Ingelsson, Colin N. A. Palmer, Ruth J. F. Loos, Girish N. Nadkarni, Gonçalo R. Abecasis, Adam E. Locke, Johanna Kuusisto, Lars Lind, Krista Fischer, Annette Peters, Kai-Uwe Ec Kardt, Ioanna Ntalla, Chloé Sarnowski, Mark I. McCarthy, N. William Rayner, Allan Linneberg, Sophie Hackinger, Centre of Excellence in Complex Disease Genetics, Institute for Molecular Medicine Finland, University of Helsinki, HUS Abdominal Center, Mahajan, Anubha [0000-0001-5585-3420], Morris, Andrew P [0000-0002-6805-6014], Boehnke, Michael [0000-0002-6442-7754], McCarthy, Mark I [0000-0002-4393-0510], Apollo - University of Cambridge Repository, Lee Kong Chian School of Medicine (LKCMedicine), and Epidemiology
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0301 basic medicine ,Male ,Linkage disequilibrium ,endocrine system diseases ,Genome-wide association study ,DISEASE ,Linkage Disequilibrium ,Body Mass Index ,Epigenesis, Genetic ,0302 clinical medicine ,Gene Frequency ,High-Throughput Screening Assays/methods ,European Continental Ancestry Group/genetics ,Genetics & Heredity ,0303 health sciences ,Chromosome Mapping ,11 Medical And Health Sciences ,Functional Genomics ,3. Good health ,Genetic Loci/genetics ,Medical genetics ,Female ,Islets of Langerhans/metabolism ,Life Sciences & Biomedicine ,TRAITS ,EXPRESSION ,medicine.medical_specialty ,SUSCEPTIBILITY LOCI ,Genomics ,030209 endocrinology & metabolism ,PHENOTYPES ,Computational biology ,Biology ,Polymorphism, Single Nucleotide ,White People ,Article ,GENETIC ARCHITECTURE ,Islets of Langerhans ,03 medical and health sciences ,Sex Factors ,SDG 3 - Good Health and Well-being ,Meta-Analysis as Topic ,SCORE ,Genetics ,medicine ,Humans ,Medicine [Science] ,Genetic Predisposition to Disease ,Allele ,GENOME-WIDE ASSOCIATION ,Genotyping ,Allele frequency ,METAANALYSIS ,030304 developmental biology ,Science & Technology ,IDENTIFICATION ,Genome, Human ,Haplotype ,06 Biological Sciences ,Human genetics ,Genetic architecture ,High-Throughput Screening Assays ,Minor allele frequency ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Diabetes Mellitus, Type 2/epidemiology ,Sample size determination ,Genetic Loci ,Case-Control Studies ,Genome, Human/genetics ,Genome-wide Association Studies ,3111 Biomedicine ,Chromosome Mapping/methods ,030217 neurology & neurosurgery ,Imputation (genetics) ,Developmental Biology ,Genome-Wide Association Study - Abstract
We aggregated genome-wide genotyping data from 32 European-descent GWAS (74,124 T2D cases, 824,006 controls) imputed to high-density reference panels of >30,000 sequenced haplotypes. Analysis of ˜27M variants (˜21M with minor allele frequency [MAF]p−8; MAF 0.02%-50%; odds ratio [OR] 1.04-8.05), 135 not previously-implicated in T2D-predisposition. Conditional analyses revealed 160 additional distinct association signals (p−5) within the identified loci. The combined set of 403 T2D-risk signals includes 56 low-frequency (0.5%≤MAF2. Forty-one of the signals displayed effect-size heterogeneity between BMI-unadjusted and adjusted analyses. Increased sample size and improved imputation led to substantially more precise localisation of causal variants than previously attained: at 51 signals, the lead variant after fine-mapping accounted for >80% posterior probability of association (PPA) and at 18 of these, PPA exceeded 99%. Integration with islet regulatory annotations enriched for T2D association further reduced median credible set size (from 42 variants to 32) and extended the number of index variants with PPA>80% to 73. Although most signals mapped to regulatory sequence, we identified 18 genes as human validated therapeutic targets through coding variants that are causal for disease. Genome wide chip heritability accounted for 18% of T2D-risk, and individuals in the 2.5% extremes of a polygenic risk score generated from the GWAS data differed >9-fold in risk. Our observations highlight how increases in sample size and variant diversity deliver enhanced discovery and single-variant resolution of causal T2D-risk alleles, and the consequent impact on mechanistic insights and clinical translation.
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- 2018
20. Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study
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Anastasia Thanopoulou, Evgenia I. Tsompanaki, Ioannis Serafetinidis, George Dedoussis, Karoline Kuchenbaecker, Bram P. Prins, Vassilis P. Kontaxakis, Athina Karabela, Lorraine Southam, Nikolaos Tentolouris, Eirini Marouli, Klea Lamnissou, Fragiskos Gonidakis, Eleni Zengini, Nigel W. Rayner, Vasiliki Mamakou, Sophie Hackinger, Eirini Glezou, Eleftheria Zeggini, Mamakou, Vasiliki [0000-0003-0805-9931], and Apollo - University of Cambridge Repository
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Adult ,Male ,medicine.medical_specialty ,First generation antipsychotics ,Combination therapy ,lcsh:RC435-571 ,Second generation antipsychotics ,Type 2 diabetes ,Comorbidity ,Logistic regression ,Body Mass Index ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,lcsh:Psychiatry ,Mood stabilizers ,medicine ,Humans ,030212 general & internal medicine ,Aged ,2. Zero hunger ,Psychotropic Drugs ,Greece ,business.industry ,nutritional and metabolic diseases ,Odds ratio ,Antidepressants ,Middle Aged ,medicine.disease ,Combined Modality Therapy ,3. Good health ,Hospitalization ,Psychiatry and Mental health ,Mood ,Diabetes Mellitus, Type 2 ,Schizophrenia ,Case-Control Studies ,Female ,business ,Body mass index ,030217 neurology & neurosurgery ,Research Article ,Antipsychotic Agents - Abstract
Background Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D. Methods The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications. Results Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22–2.69); p = 0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84–1.93), p = 0.259 and 0.98 (0.71–1.35), p = 0.885, respectively] compared to FGA use. Conclusions We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs. Electronic supplementary material The online version of this article (10.1186/s12888-018-1826-4) contains supplementary material, which is available to authorized users.
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- 2018
21. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6
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Farid Radmanesh, Kenneth Rice, Xiuqing Guo, Jessica van Setten, Konstantin Strauch, Albert V. Smith, Jeffrey Haessler, Stefan Kääb, Folkert W. Asselbergs, Patricia B. Munroe, Steven A. Lubitz, Ching-Ti Liu, Niek Verweij, Aaron Isaacs, Martina Müller-Nurasyid, Allan Linneberg, Jan A. Kors, Ozren Polasek, Kari Stefansson, Caroline Hayward, Daniel F. Gudbjartsson, Jonathan Marten, Olli T. Raitakari, Mark Eijgelsheim, Timothy J. Mead, Nona Sotoodehnia, Elsayed Z. Soliman, Hao Mei, Gianfranco Sinagra, Stefan Weiss, Torben Hansen, Michiel L. Bots, Mika Kähönen, Yalda Jamshidi, Xiaoqin Liu, Stefania Cappellani, Unnur Thorsteinsdottir, Nilesh J. Samani, Cecilia W. Lo, Honghuang Lin, Charles Kooperberg, Moritz F. Sinner, Zhijun Xie, Jennifer A. Brody, Paolo Gasparini, Ruifang Li-Gao, Leo-Pekka Lyytikäinen, Stefan van Duijvenboden, Nikolai Klena, Michele Orini, Stella Trompet, Joop Jukema, Tamara B. Harris, Jerome I. Rotter, Stephan B. Felix, Julia Ramirez, Sheila Ulivi, Ioanna Ntalla, Marcus Dörr, Annette Peters, Paul L. Huang, Dennis O. Mook-Kanamori, Igor Rudan, Cornelia M. van Duijn, Christopher P. Nelson, Anna F. Dominiczak, Henry Völzke, Terho Lehtimäki, Niels Grarup, Henry J. Lin, Bruno H. Stricker, Tim D. Spector, Molly Schwartz, Patrick T. Ellinor, Vilmundur Gudnason, Uwe Völker, Christopher Newton-Cheh, Antonietta Robino, Marten E. van den Berg, Çağrı Güleç, Marco V Perez, Jette Bork-Jensen, Pim van der Harst, Rudolf A. de Boer, Jonathan Rosand, Oluf Pedersen, Susan R. Heckbert, David O Arnar, Dan E. Arking, André G. Uitterlinden, Andrew Tinker, Bram P. Prins, Lenore J. Launer, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Man Li, Pier D. Lambiase, Jørgen K. Kanters, Ilonca Vaartjes, James G. Wilson, Sandosh Padmanabhan, Melanie Waldenberger, Nathan A. Bihlmeyer, Peter van der Meer, Francesco J. Conti, George C. Gabriel, Hilma Holm, Gardar Sveinbjornsson, Suneel S. Apte, Annamaria Iorio, Blair H. Smith, Bruce M. Psaty, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, RS: CARIM - R1.01 - Blood proteins & engineering, RS: FHML MaCSBio, Biochemie, Jamshidi, Yalda [0000-0003-0151-6482], Apollo - University of Cambridge Repository, Medical Informatics, Epidemiology, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Prins, Bram P, Mead, Timothy J, Brody, Jennifer A, Sveinbjornsson, Gardar, Ntalla, Ioanna, Bihlmeyer, Nathan A, van den Berg, Marten, Bork-Jensen, Jette, Cappellani, Stefania, Van Duijvenboden, Stefan, Klena, Nikolai T, Gabriel, George C, Liu, Xiaoqin, Gulec, Cagri, Grarup, Niel, Haessler, Jeffrey, Hall, Leanne M, Iorio, Annamaria, Isaacs, Aaron, Li-Gao, Ruifang, Lin, Honghuang, Liu, Ching-Ti, Lyytikäinen, Leo-Pekka, Marten, Jonathan, Mei, Hao, Müller-Nurasyid, Martina, Orini, Michele, Padmanabhan, Sandosh, Radmanesh, Farid, Ramirez, Julia, Robino, Antonietta, Schwartz, Molly, van Setten, Jessica, Smith, Albert V, Verweij, Niek, Warren, Helen R, Weiss, Stefan, Alonso, Alvaro, Arnar, David O, Bots, Michiel L, de Boer, Rudolf A, Dominiczak, Anna F, Eijgelsheim, Mark, Ellinor, Patrick T, Guo, Xiuqing, Felix, Stephan B, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Huang, Paul L, Jukema, J W, Kähönen, Mika, Kors, Jan A, Lambiase, Pier D, Launer, Lenore J, Li, Man, Linneberg, Allan, Nelson, Christopher P, Pedersen, Oluf, Perez, Marco, Peters, Annette, Polasek, Ozren, Psaty, Bruce M, Raitakari, Olli T, Rice, Kenneth M, Rotter, Jerome I, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Tim D, Strauch, Konstantin, Thorsteinsdottir, Unnur, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Vaartjes, Ilonca, van der Meer, Peter, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Wilson, James G, Xie, Zhijun, Asselbergs, Folkert W, Dörr, Marcu, van Duijn, Cornelia M, Gasparini, Paolo, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hansen, Torben, Kääb, Stefan, Kanters, Jørgen K, Kooperberg, Charle, Lehtimäki, Terho, Lin, Henry J, Lubitz, Steven A, Mook-Kanamori, Dennis O, Conti, Francesco J, Newton-Cheh, Christopher H, Rosand, Jonathan, Rudan, Igor, Samani, Nilesh J, Sinagra, Gianfranco, Smith, Blair H, Holm, Hilma, Stricker, Bruno H, Ulivi, Sheila, Sotoodehnia, Nona, Apte, Suneel S, van der Harst, Pim, Stefansson, Kari, Munroe, Patricia B, Arking, Dan E, Lo, Cecilia W, Jamshidi, Yalda, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AII - Infectious diseases, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, Amsterdam institute for Infection and Immunity, Amsterdam Gastroenterology Endocrinology Metabolism, Radiotherapy, Experimental Immunology, Gastroenterology and Hepatology, Graduate School, Intensive Care Medicine, Cardiology, Cardiovascular Centre (CVC), and Restoring Organ Function by Means of Regenerative Medicine (REGENERATE)
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0301 basic medicine ,ADAMTS6 ,Conduction ,Exome chip ,Meta-analysis ,Male ,Gene Expression ,Genome-wide association study ,Sudden cardiac death ,Electrocardiography ,Mice ,ADAMTS Proteins ,PR INTERVAL ,Exome ,lcsh:QH301-705.5 ,Exome sequencing ,POPULATION ,education.field_of_study ,Gen ,Ecology ,Adamts6 ,Exome Chip ,COMMON VARIANTS ,Middle Aged ,cardiovascular system ,Female ,Electrical conduction system of the heart ,QRS DURATION ,lcsh:QH426-470 ,Evolution ,Population ,Black People ,Computational biology ,Biology ,Polymorphism, Single Nucleotide ,White People ,WORSENING HEART-FAILURE ,03 medical and health sciences ,QRS complex ,Open Reading Frames ,Behavior and Systematics ,VENTRICULAR CONDUCTION ,Heart Conduction System ,Cardiac conduction ,Exome Sequencing ,medicine ,Genetics ,Erfðafræði ,Animals ,Humans ,ARRHYTHMIC DEATH ,cardiovascular diseases ,GENOME-WIDE ASSOCIATION ,education ,Ecology, Evolution, Behavior and Systematics ,Research ,Gene Expression Profiling ,Myocardium ,MORTALITY ,Rannsóknir ,Cell Biology ,medicine.disease ,lcsh:Genetics ,030104 developmental biology ,lcsh:Biology (General) ,Genetic Loci ,Connexin 43 ,ELECTROCARDIOGRAPHIC PARAMETERS ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein)., Background: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear. Results: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction. Conclusions: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes., Funding This work was funded by a grant to YJ from the British Heart Foundation (PG/12/38/29615). AGES: This study has been funded by NIH contracts N01-AG-1-2100 and 271201200022C, the NIA Intramural Research Program, Hjartavernd (the Icelandic Heart Association), and the Althingi (the Icelandic Parliament). The study is approved by the Icelandic National Bioethics Committee, VSN: 00–063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC: The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C), R01HL087641, R01HL59367, and R01HL086694; 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. Funding support for “Building on GWAS for NHLBI-diseases: the U.S. CHARGE consortium” was provided by the NIH through the American Recovery and Reinvestment Act of 2009 (ARRA) (5RC2HL102419). BRIGHT: The Exome Chip genotyping was funded by Wellcome Trust Strategic Awards (083948 and 085475). This work was also supported by the Medical Research Council of Great Britain (Grant no. G9521010D); and by the British Heart Foundation (Grant no. PG/02/128). AFD was supported by the British Heart Foundation (Grant nos. RG/07/005/23633 and SP/08/005/25115); and by the European Union Ingenious HyperCare Consortium: Integrated Genomics, Clinical Research, and Care in Hypertension (grant no. LSHM-C7–2006-037093). The BRIGHT study is extremely grateful to all the patients who participated in the study and the BRIGHT nursing team. We would also like to thank the Barts Genome Centre staff for their assistance with this project. CHS: This Cardiovascular Health Study (CHS) research was supported by NHLBI contracts HHSN268201800001C, HHSN268201200036C, HHSN268200800007C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086; and NHLBI grants R01HL068986, 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. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. ERF: The ERF study as a part of EUROSPAN (European Special Populations Research Network) was supported by European Commission FP6 STRP grant number 018947 (LSHG-CT-2006-01947) and also received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4–2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254). The ERF study was further supported by ENGAGE consortium and CMSB. High-throughput analysis of the ERF data was supported by joint grant from Netherlands Organization for Scientific Research and the Russian Foundation for Basic Research (NWO-RFBR 047.017.043). We are grateful to all study participants and their relatives, general practitioners, and neurologists for their contributions to the ERF study and to P Veraart for her help in genealogy, J Vergeer for the supervision of the laboratory work, and P Snijders for his help in data collection. FHS: The Framingham Heart Study (FHS) research reported in this article was supported by a grant from the National Heart, Lung, and Blood Institute (NHLBI), HL120393. Generation Scotland: Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates (CZD/16/6) and the Scottish Funding Council (HR03006). Genotyping of the Generation Scotland and Scottish Family Health Study samples was carried out by the Genetics Core Laboratory at the Clinical Research Facility, Edinburgh, Scotland and was funded by the UK’s Medical Research Council. GOCHA: The Genetics of Cerebral Hemorrhage with Anticoagulation was carried out as a collaborative study supported by grants R01NS073344, R01NS059727, and 5K23NS059774 from the NIH–National Institute of Neurological Disorders and Stroke (NIH-NINDS). GRAPHIC: The GRAPHIC Study was funded by the British Heart Foundation (BHF/RG/2000004). NJS and CPN are supported by the British Heart Foundation and is a NIHR Senior Investigator. This work falls under the portfolio of research supported by the NIHR Leicester Cardiovascular Biomedical Research. INGI-FVG: This study has been funded by Regione FVG (L.26.2008). INTER99: The Inter99 was initiated by Torben Jørgensen (PI), Knut Borch-Johnsen (co-PI), Hans Ibsen and Troels F. Thomsen. The steering committee comprises the former two and Charlotta Pisinger. The study was financially supported by research grants from the Danish Research Council, the Danish Centre for Health Technology Assessment, Novo Nordisk Inc., Research Foundation of Copenhagen County, Ministry of Internal Affairs and Health, the Danish Heart Foundation, the Danish Pharmaceutical Association, the Augustinus Foundation, the Ib Henriksen Foundation, the Becket Foundation, and the Danish Diabetes Association. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation (www.metabol.ku.dk). JHS: We thank the Jackson Heart Study (JHS) participants and staff for their contributions to this work. The JHS is supported by contracts HHSN268201300046C, HHSN268201300047C, HHSN268201300048C, HHSN268201300049C, HHSN268201300050C from the National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities. Dr. Wilson is supported by U54GM115428 from the National Institute of General Medical Sciences. KORA: The KORA study was initiated and financed by the Helmholtz Zentrum München – German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC-Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. Korcula: This work was funded by the Medical Research Council UK, The Croatian Ministry of Science, Education and Sports (grant 216–1080315-0302), the Croatian Science Foundation (grant 8875), the Centre of Excellence in Personalized health care, and the Centre of Competencies for Integrative Treatment, Prevention and Rehabilitation using TMS. LifeLines: The LifeLines Cohort Study and generation and management of GWAS genotype data for the LifeLines Cohort Study are supported by The Netherlands Organization of Scientific Research NWO (grant 175.010.2007.006), the Economic Structure Enhancing Fund (FES) of the Dutch government, the Ministry of Economic Affairs, the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the Northern Netherlands Collaboration of Provinces (SNN), the Province of Groningen, University Medical Center Groningen, the University of Groningen, Dutch Kidney Foundation, and Dutch Diabetes Research Foundation. Niek Verweij is supported by NWO-VENI (016.186.125) and Marie Sklodowska-Curie GF (call: H2020-MSCA-IF-2014, Project ID: 661395). UHP: Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre. Ilonca Vaartjes is supported by a Dutch Heart Foundation grant DHF project “Facts and Figures.” MGH-CAMP: Dr. Patrick Ellinor is funded by NIH grants (2R01HL092577, 1R01HL128914, R01HL104156, and K24HL105780) and American Heart Association Established Investigator Award 13EIA14220013 (Ellinor). Dr. Steve Lubitz is funded by NIH grants K23HL114724 and a Doris Duke Charitable Foundation Clinical Scientist Development Award 2014105. NEO: The authors of the NEO study thank all individuals who participated in the Netherlands Epidemiology in Obesity study, all participating general practitioners for inviting eligible participants, and all research nurses for collection of the data. We thank the NEO study group, Pat van Beelen, Petra Noordijk, and Ingeborg de Jonge for the coordination, lab, and data management of the NEO study. We also thank Arie Maan for the analyses of the electrocardiograms. The genotyping in the NEO study was supported by the Centre National de Génotypage (Paris, France), headed by Jean-Francois Deleuze. The NEO study is supported by the participating Departments, the Division and the Board of Directors of the Leiden University Medical Center, and by the Leiden University, Research Profile Area Vascular and Regenerative Medicine. Dennis Mook-Kanamori is supported by Dutch Science Organization (ZonMW-VENI Grant 916.14.023). RS-I: The generation and management of the Illumina Exome Chip v1.0 array data for the Rotterdam Study (RS-I) was executed by the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. The Exome chip array dataset was funded by the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, from the Netherlands Genomics Initiative (NGI)/Netherlands Organization for Scientific Research (NWO)-sponsored Netherlands Consortium for Healthy Aging (NCHA; project nr. 050–060-810); the Netherlands Organization for Scientific Research (NWO; project number 184021007); and by the Rainbow Project (RP10; Netherlands Exome Chip Project) of the Biobanking and Biomolecular Research Infrastructure Netherlands (BBMRI-NL; www.bbmri.nl). We thank Ms. Mila Jhamai, Ms. Sarah Higgins, and Mr. Marijn Verkerk for their help in creating the exome chip database, and Carolina Medina-Gomez, MSc, Lennard Karsten, MSc, and Linda Broer PhD for QC and variant calling. Variants were called using the best practice protocol developed by Grove et al. as part of the CHARGE consortium exome chip central calling effort. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study, and the participating general practitioners and pharmacists. The work of Bruno H. Stricker is supported by grants from the Netherlands Organization for Health Research and Development (ZonMw) (Priority Medicines Elderly 113102005 to ME and DoelmatigheidsOnderzoek 80–82500–98-10208 to BHS). The work of Mark Eijgelsheim is supported by grants from the Netherlands Organization for Health Research and Development (ZonMw) (Priority Medicines Elderly 113102005 to ME and DoelmatigheidsOnderzoek 80–82500–98-10208 to BHS). SHIP: SHIP is supported by the BMBF (grants 01ZZ9603, 01ZZ0103, and 01ZZ0403) and the German Research Foundation (Deutsche Forschungsgemeinschaft [DFG]; grant GR 1912/5–1). SHIP and SHIP-TREND are part of the Community Medicine Research net (CMR) of the Ernst-Moritz-Arndt University Greifswald (EMAU) which is funded by the BMBF as well as the Ministry for Education, Science and Culture and the Ministry of Labor, Equal Opportunities, and Social Affairs of the Federal State of Mecklenburg-West Pomerania. The CMR encompasses several research projects that share data from SHIP. The EMAU is a member of the Center of Knowledge Interchange (CKI) program of the Siemens AG. SNP typing of SHIP and SHIP-TREND using the Illumina Infinium HumanExome BeadChip (version v1.0) was supported by the BMBF (grant 03Z1CN22). We thank all SHIP and SHIP-TREND participants and staff members as well as the genotyping staff involved in the generation of the SNP data. TWINSUK: TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. UKBB: This research has been conducted using the UK Biobank Resource (application 8256 - Understanding genetic influences in the response of the cardiac electrical system to exercise) and is supported by Medical Research Council grant MR/N025083/1. We also wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Unit at Barts and Queen Mary University of London, UK. PD Lambiase acknowledges support from the UCLH Biomedicine NIHR. MO is supported by an IEF 2013 Marie Curie fellowship. JR acknowledges support from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007–2013) under REA grant agreement no. 608765. YFS: The Young Finns Study has been financially supported by the Academy of Finland: grants 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; and Diabetes Research Foundation of Finnish Diabetes Association. The expert technical assistance in the statistical analyses by Irina Lisinen is gratefully acknowledged. Cell culture and biochemistry: Funding was provided by the National Institutes of Health (Program of Excellence in Glycoscience award HL107147 to SSA and F32AR063548 to TJM) and the David and Lindsay Morgenthaler Postdoctoral Fellowship (to TJM) and by the Allen Distinguished Investigator Program, through support made by The Paul G. Allen Frontiers Group and the American Heart Association (to SSA). Mutant mouse model: Adamts6 mutant mice were generated and further propagated and analyzed by funding provided by NIH grants HL098180 and HL132024 (to CWL) and by the Allen Distinguished Investigator Program, through support made by The Paul G. Allen Frontiers Group and the American Heart Association (to SSA).
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- 2018
22. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume
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Dietmar Fernández-Orth, Nicholas J. Timpson, George Dedoussis, Beate St Pourcain, George Davey Smith, Chin Yang Shapland, Tim J Cole, Andrew P. Jackson, Valentina Iotchkova, Jordi Sunyer, Caroline Hayward, Eleftheria Zeggini, Josine L. Min, Fernando Rivadeneira, Simon E. Fisher, Carolina Medina-Gomez, Tarunveer S. Ahluwalia, Ioanna Tachmazidou, Janine F. Felix, Veronique Vitart, Jennifer Huffmann, James F. Wilson, Mònica Guxens, Bram P. Prins, Martine Vrijheid, Hans Bisgaard, Simon Haworth, Craig E. Pennell, Lærke Sass, Vincent W. V. Jaddoe, Louise Cleal, Klaus Bønnelykke, Paul R. H. J. Timmers, Klaudia Walter, Carol A. Wang, and UK10K consortium
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Cephalometry ,Cranial growth ,Biology ,Article ,White People ,European descent ,03 medical and health sciences ,0302 clinical medicine ,Gene Frequency ,Intracranial volume ,Internal medicine ,Genetic variation ,medicine ,Humans ,RNA, Messenger ,Child ,Allele frequency ,Alleles ,Aged ,030304 developmental biology ,Aged, 80 and over ,0303 health sciences ,Genome, Human ,Skull ,Gene Expression Regulation, Developmental ,Genetic Variation ,Middle Aged ,Head circumference ,Endocrinology ,Developmental genetics ,Genetic Loci ,Female ,Tumor Suppressor Protein p53 ,030217 neurology & neurosurgery - Abstract
Cranial growth and development is a complex process which affects the closely related traits of head circumference (HC) and intracranial volume (ICV). The underlying genetic influences shaping these traits during the transition from childhood to adulthood are little understood, but might include both age-specific genetic factors and low-frequency genetic variation. Here, we model the developmental genetic architecture of HC, showing this is genetically stable and correlated with genetic determinants of ICV. Investigating up to 46,000 children and adults of European descent, we identify association with final HC and/or final ICV + HC at 9 novel common and low-frequency loci, illustrating that genetic variation from a wide allele frequency spectrum contributes to cranial growth. The largest effects are reported for low-frequency variants within TP53, with 0.5 cm wider heads in increaser-allele carriers versus non-carriers during mid-childhood, suggesting a previously unrecognized role of TP53 transcripts in human cranial development., Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.
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- 2018
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23. Genomic atlas of the human plasma proteome
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Mihir A Kamat, Robert M. Plenge, An Chi, Nicholas W. Morrell, Adam S. Butterworth, James E. Peters, Heiko Runz, Joseph C. Maranville, James A. Blackshaw, James R Staley, Caroline S. Fox, Clare Oliver-Williams, Ellie Paige, Benjamin B. Sun, Tao Jiang, Angela M. Wood, John Danesh, John A. Todd, Stephen Burgess, John Bradley, David Stacey, Sheri K. Wilcox, Nebojsa Janjic, Narinder Bansal, Bram P. Prins, Sarah L. Spain, Willem H. Ouwehand, Praveen Surendran, Erik S Zimmerman, Nicole Soranzo, David J. Roberts, Dirk S. Paul, Karsten Suhre, Sun, Ben [0000-0001-6347-2281], Blackshaw, James [0000-0002-0343-0319], Burgess, Stephen [0000-0001-5365-8760], Surendran, Praveen [0000-0002-4911-6077], Oliver-Williams, Clare [0000-0002-3573-2426], Bansal, Narinder [0000-0002-6925-1719], Wood, Angela [0000-0002-7937-304X], Morrell, Nicholas [0000-0001-5700-9792], Bradley, John [0000-0002-7774-8805], Ouwehand, Willem [0000-0002-7744-1790], Soranzo, Nicole [0000-0003-1095-3852], Paul, Dirk [0000-0002-8230-0116], Danesh, John [0000-0003-1158-6791], Butterworth, Adam [0000-0002-6915-9015], Apollo - University of Cambridge Repository, and United Kingdom Research and Innovation
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0301 basic medicine ,Male ,Vasculitis ,Proteome ,General Science & Technology ,Myeloblastin ,Quantitative Trait Loci ,Mutation, Missense ,Genomics ,Disease ,Computational biology ,Quantitative trait locus ,Biology ,medicine.disease_cause ,Article ,03 medical and health sciences ,0302 clinical medicine ,Proto-Oncogene Proteins ,Genetic variation ,medicine ,Humans ,Mutation ,Multidisciplinary ,Hepatocyte Growth Factor ,Mendelian Randomization Analysis ,Blood Proteins ,Inflammatory Bowel Diseases ,Genetic architecture ,030104 developmental biology ,alpha 1-Antitrypsin ,Female ,Positive Regulatory Domain I-Binding Factor 1 ,030217 neurology & neurosurgery - Abstract
Although plasma proteins have important roles in biological processes and are the direct targets of many drugs, the genetic factors that control inter-individual variation in plasma protein levels are not well understood. Here we characterize the genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study. We identify 1,927 genetic associations with 1,478 proteins, a fourfold increase on existing knowledge, including trans associations for 1,104 proteins. To understand the consequences of perturbations in plasma protein levels, we apply an integrated approach that links genetic variation with biological pathway, disease, and drug databases. We show that protein quantitative trait loci overlap with gene expression quantitative trait loci, as well as with disease-associated loci, and find evidence that protein biomarkers have causal roles in disease using Mendelian randomization analysis. By linking genetic factors to diseases via specific proteins, our analyses highlight potential therapeutic targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development.
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- 2018
24. Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval
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Tamara B. Harris, Niels Grarup, Marcus Dörr, Martina Müller-Nurasyid, Torben Hansen, Lu-Chen Weng, Honghuang Lin, Thibaud Boutin, Joshua C. Bis, Farid Radmanesh, Jie Yao, Nilesh J. Samani, Ozren Polašek, Massimo Mangino, Charles Kooperberg, Vilmundur Gudnason, Stephan B. Felix, Bruno H. Stricker, Elsayed Z. Soliman, Nathan A. Bihlmeyer, Jette Bork-Jensen, Dan E. Arking, J. Marten, Mika Kähönen, Kenneth Rice, Nona Sotoodehnia, Heather Jameson, Henry J. Lin, Jørgen K. Kanters, Jared W. Magnani, Mark Eijgelsheim, Hao Mei, Tim D. Spector, Oluf Pedersen, Allan Linneberg, G. Homuth, Chengping Wen, Olli T. Raitakari, Blair H. Smith, Marco V Perez, Melanie Waldenberger, Bram P. Prins, James G. Wilson, Xiuqing Guo, Sandosh Padmanabhan, Peter van der Meer, Stefan Weiss, Leo-Pekka Lyytikäinen, Colleen M. Sitlani, Alvaro Alonso, Leanne M. Hall, Cornelia M. van Duijn, Jessica van Setten, Helen R. Warren, Kent D. Taylor, Niek Verweij, Man Li, Moritz F. Sinner, Igor Rudan, Christopher P. Nelson, Emelia J. Benjamin, William J. Hucker, Marten E. van den Berg, Alan Hanley, Jerome I. Rotter, D. O. Mook-Kanamori, Susan R. Heckbert, Bruce M. Psaty, Caroline Hayward, Yalda Jamshidi, Patrick T. Ellinor, John M. C. Connell, Patricia B. Munroe, Lenore J. Launer, Stefan Kääb, Uwe Völker, Ruifang Li-Gao, Jan A. Kors, Annette Peters, J. Wouter Jukema, Jeffrey Haessler, Aaron Isaacs, Folkert W. Asselbergs, Rudolf A. de Boer, Konstantin Strauch, Albert V. Smith, Jonathan Rosand, Steven A. Lubitz, F. Rivadeneira, Nathan R. Tucker, Michiel L. Bots, Zhijun Xie, Jennifer A. Brody, Stella Trompet, Thomas Meitinger, André G. Uitterlinden, Pim van der Harst, Paul L. Huang, Henry Völzke, Terho Lehtimäki, Yii-Der Ida Chen, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Epidemiology, Medical Informatics, Clinical Chemistry, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AII - Infectious diseases, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, Amsterdam institute for Infection and Immunity, Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, Intensive Care Medicine, Experimental Immunology, Radiotherapy, Graduate School, Cardiology, Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, and RS: FHML MaCSBio
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Adult ,Male ,0301 basic medicine ,SCN10A ,Heart morphogenesis ,Quantitative Trait Loci ,LOCI ,Locus (genetics) ,Genome-wide association study ,atrioventricular node ,SUSCEPTIBILITY ,Regulatory Sequences, Nucleic Acid ,030204 cardiovascular system & hematology ,Quantitative trait locus ,Biology ,VARIANTS ,Atrioventricular Node ,Genetic Loci ,Genome-wide Association Study ,Article ,genome-wide ,03 medical and health sciences ,Electrocardiography ,0302 clinical medicine ,Genetic variation ,Humans ,Genetic Predisposition to Disease ,PR interval ,GENOME-WIDE ASSOCIATION ,SCN5A GENE ,Aged ,Genetic association ,Genetics ,genome-wide association study ,HERITABILITY ,MUTATIONS ,Genetic Variation ,genetic loci ,General Medicine ,Middle Aged ,ta3121 ,Heritability ,DILATED CARDIOMYOPATHY ,030104 developmental biology ,LONG QT SYNDROME ,CONDUCTION ,ATRIAL-FIBRILLATION ,Female ,QRS DURATION ,SUDDEN CARDIAC DEATH - Abstract
Background: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability. Methods: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval. Results: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction ( P −6 ), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at MYH6 ( P =5.9×10 −11 ) and SCN5A ( P =1.1×10 −7 ) were associated with PR interval. SCN5A locus also was implicated in the common variant analysis, whereas MYH6 was a novel locus. Conclusions: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.
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- 2018
25. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
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Ching-Ti Liu, Michael Boehnke, George Dedoussis, Sophie V. Eastwood, Ruth J. F. Loos, Keng-Hung Lin, Denis Rybin, Fredrik Karpe, Martina Müller-Nurasyid, Michael A. Province, Alison D. Murray, Bo Isomaa, Eirini Marouli, Konstantin Strauch, Michael Preuss, Paul M. Ridker, Jette Bork-Jensen, Albert V. Smith, Hugoline G. de Haan, Wayne Huey-Herng Sheu, Barbara Thorand, Wolfgang Rathmann, Lawrence F. Bielak, Peter Kovacs, Marit E. Jørgensen, Jennifer Wessel, Danish Saleheen, Jung-Jin Lee, James B. Meigs, Veikko Salomaa, Alena Stančáková, Tibor V. Varga, Hidetoshi Kitajima, Inês Barroso, Kent D. Taylor, Claudia Langenberg, Yoon Shin Cho, Joanna M. M. Howson, Andrew T. Hattersley, Marie-France Hivert, Markku Laakso, Kai-Uwe Eckardt, Bram P. Prins, Matthias B. Schulze, Andrew D. Morris, Susanne Jäger, Francis S. Collins, Kristi Läll, Xu Lin, Anette Varbo, Benjamin Lehne, Girish N. Nadkarni, Jonathan Marchini, Daniel I. Chasman, Michael Stumvoll, Mark O. Goodarzi, Cécile Lecoeur, Philippe M. Frossard, Noël P. Burtt, Frank Kee, Jasmina Kravic, Alain G. Bertoni, Ivan Brandslund, Najaf Amin, Lenore J. Launer, Oluf Pedersen, Johanna Kuusisto, Line Rode, Eleftheria Zeggini, Yingchang Lu, Markus Perola, Helen R. Warren, André G. Uitterlinden, Hanieh Yaghootkar, Torben Hansen, Harald Grallert, Annemari Käräjämäki, Abbas Dehghan, Gina M. Peloso, Yii-Der Ida Chen, Man Li, Shaofeng Huo, Lars Lind, Karen L. Mohlke, Adrienne Tin, Yang Hai, Renée de Mutsert, Gudmar Thorleifsson, Marie Moitry, Sune F. Nielsen, Sara M. Willems, Matthias Wuttke, Weihua Zhang, Young-Jin Kim, Giovanni Malerba, Richard A. Jensen, Loic Yengo, Mickaël Canouil, Kurt Lohman, Robert A. Scott, Tamara B. Harris, Ruifang Li-Gao, Florian Kronenberg, Anke Tönjes, Bok-Ghee Han, Krista Fischer, Thomas Meitinger, James S. Pankow, Jaakko Tuomilehto, Adam S. Butterworth, Jerome I. Rotter, Olov Rolandsson, Xiuqing Guo, Cramer Christensen, Marie Loh, Elizabeth Selvin, Bong-Jo Kim, Audrey Y. Chu, Reedik Mägi, Josée Dupuis, Anna Köttgen, Jean Ferrières, Jin Li, Robert Sladek, Leslie A. Lange, Niels Grarup, Roberta McKean-Cowdin, Cristen J. Willer, Jose C. Florez, Valgerdur Steinthorsdottir, Karina Meidtner, Annette Peters, Børge G. Nordestgaard, Rajiv Chowdhury, Ioanna Ntalla, Emma Ahlqvist, Leif Groop, Nicholas J. Wareham, Kerrin S. Small, Tiinamaija Tuomi, Cecilia M. Lindgren, Katharine R. Owen, Giovanni Gambaro, Cornelia M. van Duijn, Dennis O. Mook-Kanamori, Kenneth Rice, Erik Ingelsson, Colin N. A. Palmer, Sharon L.R. Kardia, Neil R. Robertson, Dajiang J. Liu, Sebastian Schönherr, Daniel Taliun, Sekar Kathiresan, James G. Wilson, Ping An, Patricia A. Peyser, Matthias Blüher, Frits R. Rosendaal, John C. Chambers, Caroline Hayward, Shoaib Afzal, Fernando Rivadineira, Marielisa Graff, Pranav Yajnik, Vasiliki Mamakou, Juan Fernandez Tajes, Stefan Gustafsson, Heather M. Highland, Vilmantas Giedraitis, Andrew R. Wood, Saima Afaq, Jaspal S. Kooner, Megan L. Grove, Jennifer A. Brody, Andrew P. Morris, James P. Cook, Praveen Surendran, Jennifer Kriebel, Heikki A. Koistinen, Kari Stefansson, Anders Rosengren, Rainer Rauramaa, Satu Männistö, Oscar H. Franco, Yongmei Liu, N. William Rayner, Blair H. Smith, Erwin P. Bottinger, Ayse Demirkan, Allan Linneberg, Jonathan Marten, Huaixing Li, Sung Soo Kim, Sophie Hackinger, Cristina Bombieri, Lia B. Bang, Jun Liu, Asif Rasheed, Tim D. Spector, Paul W. Franks, Mark I. McCarthy, Heiner Boeing, Anne E. Justice, Vilmundur Gudnason, Sohee Han, Unnur Thorsteinsdottir, Panos Deloukas, Naveed Sattar, Eric Boerwinkle, Martin Ingelsson, John Danesh, Vassily Trubetskoy, Marco M Ferrario, Marju Orho-Melander, Wei Gan, Philippe Froguel, Symen Ligthart, Susan R. Heckbert, Jie Yao, Anne Tybjærg-Hansen, Robin Young, Daniel R. Witte, Anubha Mahajan, Peter Almgren, Timothy M. Frayling, Tanya M. Teslovich, Matt Neville, Philippe Amouyel, Wei Zhao, Andres Metspalu, Yao Hu, Olle Melander, Kari Kuulasmaa, Jason Flannick, Torben Jørgensen, Stephen S. Rich, Nicole Soranzo, Bruce M. Psaty, Rohit Varma, Epidemiology, and Internal Medicine
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0301 basic medicine ,Male ,Inference ,Genome-wide association study ,Whole Exome Sequencing ,0302 clinical medicine ,type 2 diabetes ,coding variant associations signals ,mechanistic inference ,fine mapping ,Coding region ,Chromosome Mapping/statistics & numerical data ,European Continental Ancestry Group/genetics ,CONFERS SUSCEPTIBILITY ,Exome sequencing ,11 Medical and Health Sciences ,Genetics ,Genetics & Heredity ,0303 health sciences ,MAGIC Consortium ,Chromosome Mapping ,Whole Exome Sequencing/statistics & numerical data ,Identification (information) ,RARE VARIANTS ,LOW-FREQUENCY ,Female ,ExomeBP Consortium ,Life Sciences & Biomedicine ,SUSCEPTIBILITY LOCI ,Posterior probability ,European Continental Ancestry Group ,030209 endocrinology & metabolism ,Context (language use) ,Computational biology ,Biology ,GENOTYPE IMPUTATION ,Article ,White People ,GENETIC ARCHITECTURE ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,QUALITY-CONTROL ,Exome Sequencing ,Genome-Wide Association Study/statistics & numerical data ,Journal Article ,GIANT Consortium ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Alleles ,Genetic association ,030304 developmental biology ,FATTY LIVER-DISEASE ,Science & Technology ,Genetic Variation ,06 Biological Sciences ,Genetic architecture ,Minor allele frequency ,BODY-MASS INDEX ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Diabetes Mellitus, Type 2/classification ,030217 neurology & neurosurgery ,Coding (social sciences) ,Genome-Wide Association Study ,Developmental Biology - Abstract
Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant data for 81,412 type 2 diabetes (T2D) cases and 370,832 controls of diverse ancestry, identifying 40 distinct coding variant association signals (at 38 loci) reaching significance (p−7). Of these, 16 represent novel associations mapping outside known genome-wide association study (GWAS) signals. We make two important observations. First, despite a threefold increase in sample size over previous efforts, only five of the 40 signals are driven by variants with minor allele frequency 1.29. Second, we used GWAS data from 50,160 T2D cases and 465,272 controls of European ancestry to fine-map these associated coding variants in their regional context, with and without additional weighting to account for the global enrichment of complex trait association signals in coding exons. At the 37 signals for which we attempted fine-mapping, we demonstrate convincing support (posterior probability >80% under the “annotation-weighted” model) that coding variants are causal for the association at 16 (including novel signals involving POC5 p.His36Arg, ANKH p.Arg187Gln, WSCD2 p.Thr113Ile, PLCB3 p.Ser778Leu, and PNPLA3 p.Ile148Met). However, at 13 of the 37 loci, the associated coding variants represent “false leads” and naïve analysis could have led to an erroneous inference regarding the effector transcript mediating the signal. Accurate identification of validated targets is dependent on correct specification of the contribution of coding and non-coding mediated mechanisms at associated loci.
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- 2018
26. Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia
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Luka Brčić, Eleftheria Zeggini, George Dedoussis, Eirini Marouli, Bram P. Prins, Eleni Zengini, Vassilis P. Kontaxakis, Aspasia Tsezou, Nikolaos Tentolouris, Vasiliki Mamakou, Sophie Hackinger, Ioannis Serafetinidis, Anastasia Thanopoulou, Klea Lamnissou, and Fragiskos Gonidakis
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0301 basic medicine ,Risk ,Multifactorial Inheritance ,Genotype ,endocrine system diseases ,Population ,Genome-wide association study ,Type 2 diabetes ,Comorbidity ,Article ,lcsh:RC321-571 ,Cohort Studies ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Meta-Analysis as Topic ,Databases, Genetic ,Genetic predisposition ,Medicine ,Humans ,education ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Biological Psychiatry ,Genetics ,education.field_of_study ,Greece ,business.industry ,nutritional and metabolic diseases ,medicine.disease ,3. Good health ,Psychiatry and Mental health ,030104 developmental biology ,Increased risk ,Diabetes Mellitus, Type 2 ,Schizophrenia ,Sample collection ,business ,human activities ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
The epidemiologic link between schizophrenia (SCZ) and type 2 diabetes (T2D) remains poorly understood. Here, we investigate the presence and extent of a shared genetic background between SCZ and T2D using genome-wide approaches. We performed a genome-wide association study (GWAS) and polygenic risk score analysis in a Greek sample collection (GOMAP) comprising three patient groups: SCZ only (n = 924), T2D only (n = 822), comorbid SCZ and T2D (n = 505); samples from two separate Greek cohorts were used as population-based controls (n = 1,125). We used genome-wide summary statistics from two large-scale GWAS of SCZ and T2D from the PGC and DIAGRAM consortia, respectively, to perform genetic overlap analyses, including a regional colocalisation test. We show for the first time that patients with comorbid SCZ and T2D have a higher genetic predisposition to both disorders compared to controls. We identify five genomic regions with evidence of colocalising SCZ and T2D signals, three of which contain known loci for both diseases. We also observe a significant excess of shared association signals between SCZ and T2D at nine out of ten investigated p value thresholds. Finally, we identify 29 genes associated with both T2D and SCZ, several of which have been implicated in biological processes relevant to these disorders. Together our results demonstrate that the observed comorbidity between SCZ and T2D is at least in part due to shared genetic mechanisms.
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- 2018
27. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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Olle Melander, Niek Verweij, Uwe Völker, Morris A. Swertz, Seppo Koskinen, David Conen, Lars Lind, Rossella Sorice, Philippe Amouyel, Andres Metspalu, David J. Stott, Marty Larson, Francis S. Collins, Ozren Polasek, Paul F. O'Reilly, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Michela Traglia, Tineka Blake, John Attia, Bruce M. Psaty, Massimo Mangino, Alison Pattie, Marco Brumat, Dorret I. Boomsma, Harry Campbell, Daniel I. Chasman, Tõnu Esko, Wei-Yu Lin, Rodney J. Scott, Marjo-Riitta Järvelin, Guillaume Paré, Adriana M. Hung, Marina Evangelou, Quang Tri Nguyen, Markus Perola, Kenneth Rice, Yong Qian, Antonietta Robino, Anne U. Jackson, Ian J. Deary, Mika Kähönen, Cristina Menni, Veronique Vitart, Igor Rudan, Ganesh Chauhan, Aravinda Chakravarti, Jennifer E. Huffman, John M. Starr, Anubha Mahajan, Christopher Newton-Cheh, Peter Almgren, Yuri Milaneschi, Jacklyn N. Hellwege, Roby Joehanes, Christopher P. Nelson, Eleftheria Zeggini, Elizabeth G. Holliday, Peter J. van der Most, Annette Peters, Paul M. Ridker, Michael Boehnke, Joris Deelen, Brenda W.J.H. Penninx, Neil Poulter, Renée de Mutsert, Rick Jansen, Fu Liang Ng, Anne-Claire Vergnaud, Ilja M. Nolte, Meixia Ren, Gail Davies, John M. C. Connell, Jian'an Luan, Todd L. Edwards, Benjamin Lehne, K. Witkowska, Lili Milani, Stéphanie Debette, Georgios Ntritsos, Claudia P. Cabrera, Paolo Gasparini, Jouke-Jan Hottenga, Antti-Pekka Sarin, Kelly Cho, Robert A. Scott, Veikko Salomaa, Niki Dimou, David C. Liewald, Pim van der Harst, Teemu J. Niiranen, Denis C. Shields, Leo-Pekka Lyytikäinen, Andrew P. Morris, Murielle Bochud, Helena Schmidt, Bernard Keavney, Christopher Oldmeadow, Ioanna Tzoulaki, Jaakko Tuomilehto, Louise V. Wain, Reedik Mägi, Christian Gieger, Caterina Barbieri, Aki S. Havulinna, Fabiola Del Greco M, Dragana Vuckovic, Alan F. Wright, J. Wouter Jukema, Reinhold Schmidt, Marcus Dörr, Franco Giulianini, Evan Tzanis, Erwin P. Bottinger, David Mosen-Ansorena, Ruth J. F. Loos, A. Mesut Erzurumluoglu, Teresa Nutile, Alice Stanton, Jun Ding, Yingchang Lu, Roberto Elosua, Walter Palmas, James F. Wilson, Edith Hofer, Giorgia Girotto, Bram P. Prins, Anna Morgan, Anuj Goel, Edward G. Lakatta, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Siim Sõber, Nicholas J. Wareham, Adam S. Butterworth, Ilaria Gandin, Xiuqing Guo, Kent D. Taylor, Andrew D. Morris, Paul Knekt, Cinzia Sala, Peter P. Pramstaller, Joshua C. Bis, Archie Campbell, Raha Pazoki, Hugh Watkins, Csaba P. Kovesdy, Yan V. Sun, Lynda M. Rose, Jaspal S. Kooner, Maciej Tomaszewski, Massimiliano Cocca, Claudia Langenberg, Gonneke Willemsen, Eco J. C. de Geus, Peter W.F. Wilson, Ahmad Vaez, Albert Hofman, Kristin L. Ayers, Sara M. Willems, Germaine C. Verwoert, Christophe Tzourio, Martin Farrall, Albert V. Smith, Joanna M. M. Howson, Daniela Toniolo, Digna R. Velez Edwards, Antti Jula, Stefan Enroth, Ruifang Li-Gao, Nabi Shah, Weihua Zhang, Paul Elliott, Dennis O. Mook-Kanamori, Tatijana Zemunik, Shih-Jen Hwang, Helen R. Warren, Peter J. Munson, He Gao, Ivana Kolcic, Peter S. Braund, Tamara B. Harris, Raymond Noordam, Stella Trompet, Markku Laakso, Peter K. Joshi, Zoltán Kutalik, Sébastien Thériault, Åsa Johansson, Rainer Rettig, Sarah H. Wild, Patricia B. Munroe, John Danesh, Anders Hamsten, Mark J. Caulfield, Gonçalo R. Abecasis, Praveen Surendran, Peter S. Sever, David S. Siscovick, Terho Lehtimäki, Priyanka Nandakumar, Aarno Palotie, Muralidharan Sargurupremraj, Chiara Batini, Nick Shrine, Harold Snieder, Cumhur Y Demirkale, Teresa Ferreira, André G. Uitterlinden, Sekar Kathiresan, Mattias Frånberg, Lorna M. Lopez, J. Michael Gaziano, Cornelia M. van Duijn, Maris Laan, Samuli Ripatti, John C. Chambers, Martin H. de Borst, Johan Sundström, Alan J. Gow, Caroline Hayward, Oscar H. Franco, Yongmei Liu, Sandosh Padmanabhan, Ibrahim Karaman, Georg Ehret, Cecilia M. Lindgren, Mike A. Nalls, Chrysovalanto Mamasoula, Daniela Ruggiero, Erik Ingelsson, Colin N. A. Palmer, Alan James, Elin Org, Kati Kristiansson, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Jerome I. Rotter, Yasaman Saba, Daniel Levy, Li Lin, Janina S. Ried, Michael R. Barnes, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, Martin D. Tobin, Lorenz Risch, Rona J. Strawbridge, Jing Hua Zhao, Vilmundur Gudnason, Borbala Mifsud, Eric Boerwinkle, Catharina A. Hartman, Ben A. Oostra, Dan E. Arking, Andrew A. Hicks, Peter Vollenweider, Thibaud Boutin, Philip S. Tsao, Jie Yao, Ayush Giri, Marina Ciullo, Morris J. Brown, Alanna C. Morrison, Kay-Tee Khaw, Francesco Cucca, Jonathan Marten, Olli T. Raitakari, Christopher J. O'Donnell, Jaume Marrugat, Tim D. Spector, Heather J. Cordell, Nilesh J. Samani, Simon Thom, Sarah E. Harris, UNIVERSITY OF OULU, Commission of the European Communities, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, British Heart Foundation, Medical Research Council (MRC), UK DRI Ltd, Epidemiology, Internal Medicine, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Ehret, Georg Benedikt, Lin, Li, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Evangelou, Evangelo, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgio, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, Katarzyna, Tzanis, Evan, Hellwege, Jacklyn N, Giri, Ayush, Velez Edwards, Digna R, Sun, Yan V, Cho, Kelly, Gaziano, J Michael, Wilson, Peter W F, Tsao, Philip S, Kovesdy, Csaba P, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian'An, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Amouyel, Philippe, Connell, John, de Mutsert, Renée, Doney, Alex S F, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Franci, Cordell, Heather J, Davies, Gail, Borst, Martin H de, Geus, Eco J de, Deary, Ian J, Deelen, Jori, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcu, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A Mesut, Ferreira, Teresa, Frånberg, Mattia, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmanta, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Ander, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Mari, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lind, Lar, Lindgren, Cecilia M, Liu, Yongmei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Marku, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andre, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), VU University medical center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, University of Helsinki, Clinicum, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Department of Public Health, Complex Disease Genetics, and Genomics of Neurological and Neuropsychiatric Disorders
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Male ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Population/methods ,Genome Informatics ,Blood Pressure ,Genome-wide association study ,GENOME-WIDE ASSOCIATION ,CARDIOVASCULAR-DISEASE RISK ,UK BIOBANK ,HYPERTENSION ,VARIANTS ,METAANALYSIS ,COMMON ,HEALTH ,RARE ,HYPERALDOSTERONISM ,Disease ,Bioinformatics ,Cardiovascular Diseases/epidemiology/genetics ,Risk Factors ,80 and over ,GWAS ,Cells, Cultured ,11 Medical and Health Sciences ,ddc:616 ,Genetics & Heredity ,Aged, 80 and over ,Cultured ,medicine.diagnostic_test ,CARDIOVASCULAR RISK ,Genetic analysis ,Million Veteran Program ,Genetics, Population/methods ,Single Nucleotide ,Middle Aged ,PREVALENCE ,3. Good health ,Pulse pressure ,VINTAGE ,Cardiovascular Diseases ,Blood pressure ,Medical genetics ,Female ,Medical Genetics ,Life Sciences & Biomedicine ,Genetic Testing/methods ,Adult ,medicine.medical_specialty ,Blood Pressure/genetics ,Cells ,Quantitative Trait Loci ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Human Umbilical Vein Endothelial Cells ,Genetics ,medicine ,Humans ,Medicine [Science] ,Genetic Predisposition to Disease ,Genetic Testing ,Polymorphism ,HEALTHY ,Life Style ,Medicinsk genetik ,Aged ,Genetic testing ,Genetic association ,Science & Technology ,Cardiovascular Diseases/epidemiology ,06 Biological Sciences ,Genetic architecture ,Genetics, Population ,030104 developmental biology ,Genetic Loci ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,3111 Biomedicine ,Hypertension/genetics ,Genome-Wide Association Study ,Developmental Biology - Abstract
High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore)
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- 2018
28. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals
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Niek Verweij, Stephan B. Felix, Ching-Ti Liu, Hao Mei, Martin D. Tobin, Allan Linneberg, Fernando Rivadeneira, Michiel L. Bots, Leo-Pekka Lyytikäinen, Olli T. Raitakari, Thomas Meitinger, Farid Radmanesh, Jeffrey Haessler, Folkert W. Asselbergs, J. Wouter Jukema, Massimo Mangino, Igor Rudan, Christopher P. Nelson, Vilmundur Gudnason, Xiuqing Guo, Yii-Der Ida Chen, Bruce M. Psaty, Marten E. van den Berg, Caroline Hayward, Tim D. Spector, Albert V. Smith, Marco V Perez, Uwe Völker, Nona Sotoodehnia, Tamara B. Harrris, Aaron Isaacs, Pim van der Harst, Nina Mononen, Nilesh J. Samani, Siegfried Perz, Dan E. Arking, Niels Grarup, Arie C. Maan, Steven A. Lubitz, Torben Hansen, Honghuang Lin, Kent D. Taylor, Yalda Jamshidi, Cornelia M. van Duijn, Jennifer E. Huffman, Marcus Dörr, Alison D. Murray, Jan A. Kors, Martina Müller-Nurasyid, Susan R. Heckbert, Jonathan Rosand, Oluf Pedersen, Anna E Dominiczak, Melanie Waldenberger, Paul L. Huang, Jie Yao, Renée de Mutsert, Henry Völzke, Terho Lehtimäki, Elsayed Z. Soliman, Mika Kähönen, Henry J. Lin, Zhijun Xie, Ozren Polašek, Joshua C. Bis, Archie Campbell, Ivana Kolcic, Stella Trompet, André G. Uitterlinden, Bruno H. Stricker, Jette Bork-Jensen, Mark Eijgelsheim, Georg Homuth, Jennifer A. Brody, Patricia B. Munroe, Peter van der Meer, Patrick T. Ellinor, Jørgen K. Kanters, Lenore J. Launer, Dennis O. Mook-Kanamori, Stefan Weiss, Stefan Kääb, Jessica van Setten, Christopher Newton-Cheh, Annette Peters, James G. Wilson, Sandosh Padmanabhan, Jerome I. Rotter, Rudolf A. de Boer, Bram P. Prins, Nathan A. Bihlmeyer, Alvaro Alonso, Leanne M. Hall, J. Marten, Helen R. Warren, Man Li, Thomas R. Austin, Charles Kooperberg, Moritz F. Sinner, Ruifang Li-Gao, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, Other Research, Experimental Immunology, Graduate School, Radiotherapy, Cardiology, Epidemiology, Medical Informatics, Erasmus MC other, Internal Medicine, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, and RS: FHML MaCSBio
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0301 basic medicine ,Genome-wide association study ,030204 cardiovascular system & hematology ,Cardiovascular ,Corrections ,Antiporters ,Sudden cardiac death ,Electrocardiography ,0302 clinical medicine ,DESIGN ,Receptors ,N-RAP ,2.1 Biological and endogenous factors ,EPIDEMIOLOGY ,Exome ,genetics ,ta318 ,Aetiology ,humans ,Oligonucleotide Array Sequence Analysis ,GENERAL-POPULATION ,medicine.diagnostic_test ,Arrhythmias, Cardiac ,Death, Sudden, Cardiac ,Genetics ,Genome ,Humans ,COMMON VARIANTS ,General Medicine ,Single Nucleotide ,3. Good health ,ddc ,DNA-Binding Proteins ,Long QT Syndrome ,Heart Disease ,Cardiology ,Calcium-Sensing ,HEALTH ,medicine.symptom ,arrhythmias ,medicine.medical_specialty ,arrhythmias, cardiac ,death, sudden, cardiac ,genome ,cardiac ,Long QT syndrome ,Quantitative Trait Loci ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,QT interval ,Sudden death ,Article ,03 medical and health sciences ,Internal medicine ,death ,medicine ,Journal Article ,Polymorphism ,sudden ,HYPERTENSION ,business.industry ,Prevention ,ta1184 ,Sudden cardiac arrest ,ta3121 ,medicine.disease ,030104 developmental biology ,COHORT PROFILE ,business ,Receptors, Calcium-Sensing ,SUDDEN CARDIAC DEATH ,Transcription Factors ,Genome-Wide Association Study - Abstract
Background QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest. Methods and Results We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci. Conclusions Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.
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- 2018
29. Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations
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Meena Kumari, John R. B. Perry, Jian'an Luan, Robert A. Scott, Delilah Zabaneh, Michaela Benzeval, Eleftheria Zeggini, Claudia Langenberg, Nicholas J. Wareham, Karoline Kuchenbaecker, Melissa C. Smart, Bram P. Prins, Ghazaleh Fatemifar, Yanchun Bao, Luan, Jian'an [0000-0003-3137-6337], Wareham, Nicholas [0000-0003-1422-2993], Perry, John [0000-0001-6483-3771], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Genetic Markers ,Longitudinal study ,Health Status ,lcsh:Medicine ,Genome-wide association study ,Article ,03 medical and health sciences ,Liver disease ,medicine ,Longitudinal Studies ,1000 Genomes Project ,lcsh:Science ,Genetics ,Family Health ,Family Characteristics ,Multidisciplinary ,biology ,Haplotype ,lcsh:R ,medicine.disease ,Genetic architecture ,United Kingdom ,3. Good health ,030104 developmental biology ,Reproductive Health ,Alanine transaminase ,biology.protein ,Biomarker (medicine) ,lcsh:Q ,Biomarkers ,Genome-Wide Association Study - Abstract
Serum biomarker levels are associated with the risk of complex diseases. Here, we aimed to gain insights into the genetic architecture of biomarker traits which can reflect health status. We performed genome-wide association analyses for twenty serum biomarkers involved in organ function and reproductive health. 9,961 individuals from the UK Household Longitudinal Study were genotyped using the Illumina HumanCoreExome array and variants imputed to the 1000 Genomes Project and UK10K haplotypes. We establish a polygenic heritability for all biomarkers, confirm associations of fifty-four established loci, and identify five novel, replicating associations at genome-wide significance. A low-frequency variant, rs28929474, (beta = 0.04, P = 2 × 10−10) was associated with levels of alanine transaminase, an indicator of liver damage. The variant is located in the gene encoding serine protease inhibitor, low levels of which are associated with alpha-1 antitrypsin deficiency which leads to liver disease. We identified novel associations (rs78900934, beta = 0.05, P = 6 × 10−12; rs2911280, beta = 0.09, P = 6 × 10−10) for dihydroepiandrosterone sulphate, a precursor to major sex-hormones, and for glycated haemoglobin (rs12819124, beta = −0.03, P = 4 × 10−9; rs761772, beta = 0.05, P = 5 × 10−9). rs12819124 is nominally associated with risk of type 2 diabetes. Our study offers insights into the genetic architecture of well-known and less well-studied biomarkers.
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- 2017
30. In Silico Post Genome-Wide Association Studies Analysis of C-Reactive Protein Loci Suggests an Important Role for Interferons
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Dorret I. Boomsma, Jouke-Jan Hottenga, Rick Jansen, Bram P. Prins, Ilja M. Nolte, Brenda W.J.H. Penninx, Behrooz Z. Alizadeh, Ahmad Vaez, Eco J. C. de Geus, Harold Snieder, Psychiatry, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, and EMGO+ - Lifestyle, Overweight and Diabetes
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Netherlands Twin Register (NTR) ,METABOLIC-SYNDROME ,Genotype ,INTERLEUKIN-6 ,In silico ,NETHERLANDS ,Quantitative Trait Loci ,Single-nucleotide polymorphism ,Genome-wide association study ,GENE-FUNCTION ,DETERMINANTS ,Biology ,PERIPHERAL-BLOOD ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,C-reactive protein ,Genetics ,Humans ,CORONARY-HEART-DISEASE ,Longitudinal Studies ,1000 Genomes Project ,SYSTEMIC-LUPUS-ERYTHEMATOSUS ,Gene ,Genetics (clinical) ,Alleles ,genome wide association study ,Genetic association ,HYPERTENSION ,Sequence Analysis, DNA ,interferon ,Phenotype ,Expression quantitative trait loci ,RISK-FACTORS ,Interferons ,Cardiology and Cardiovascular Medicine ,Genome-Wide Association Study - Abstract
Background— Genome-wide association studies (GWASs) have successfully identified several single nucleotide polymorphisms (SNPs) associated with serum levels of C-reactive protein (CRP). An important limitation of GWASs is that the identified variants merely flag the nearby genomic region and do not necessarily provide a direct link to the biological mechanisms underlying their corresponding phenotype. Here we apply a bioinformatics-based approach to uncover the functional characteristics of the 18 SNPs that had previously been associated with CRP at a genome-wide significant level. Methods and Results— In the first phase of in silico sequencing, we explore the vicinity of GWAS SNPs to identify all linked variants. In the second phase of expression quantitative trait loci analysis, we attempt to identify all nearby genes whose expression levels are associated with the corresponding GWAS SNPs. These 2 phases generate several relevant genes that serve as input to the next phase of functional network analysis. Our in silico sequencing analysis using 1000 Genomes Project data identified 7 nonsynonymous SNPs, which are in moderate to high linkage disequilibrium ( r 2 >0.5) with the GWAS SNPs. Our expression quantitative trait loci analysis, which was based on one of the largest single data sets of genome-wide expression probes (n>5000) identified 23 significantly associated expression probes belonging to 15 genes (false discovery rate Conclusions— Our post-GWAS analysis of CRP GWAS SNPs confirmed the previously known overlap between CRP and lipids biology. Additionally, it suggested an important role for interferons in the metabolism of CRP.
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- 2015
31. lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection
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Ahmad Vaez, Edwin R. van den Heuvel, Ilja M. Nolte, Harold Snieder, Behrooz Z. Alizadeh, Peter J. van der Most, Bram P. Prins, Stochastic Operations Research, Statistics, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)
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0301 basic medicine ,Statistics and Probability ,Computer science ,Genome-wide association study ,computer.software_genre ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Limit of Detection ,REGRESSION ,Genome-Wide Association Analysis ,Humans ,030212 general & internal medicine ,Molecular Biology ,Parametric statistics ,Detection limit ,Software package ,Computer Science Applications ,Computational Mathematics ,030104 developmental biology ,Computational Theory and Mathematics ,Biomarker (medicine) ,Data mining ,computer ,Biomarkers ,Software ,Genome-Wide Association Study - Abstract
Summary: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be included into the analysis by applying an appropriate statistical method. However, the problem of LOD in GWAS analysis of such biomarkers is usually overlooked. ‘lodGWAS’ is a flexible, easy-to-use R package that provides a simple and elegant way for GWAS analysis of such biomarkers while simultaneously accommodating the problem of LOD by applying a parametric survival analysis method. Availability and implementation: http://cran.r-project.org/web/packages/lodGWAS Contacts: a.vaez@umcg.nl or i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.
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- 2016
32. Genetic analysis of over one million people identifies 535 novel loci for blood pressure
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Lorenz Risch, Anne-Claire Vergnaud, Nguyen Quang Tri, Rona J. Strawbridge, Alan F. Wright, Francesco Cucca, Evan Tzanis, Caterina Barbieri, Jaakko Tuomilehto, Louise V. Wain, Jonathan Marten, James F. Wilson, Christopher Newton-Cheh, Reedik Mägi, Olli T. Raitakari, Peter W.F. Wilson, Joris Deelen, Morris Brown, Anna Morgan, Nabi Shah, Weihua Zhang, Ganesh Chauhan, Gail Davies, Peter S. Braund, Bram P. Prins, Alison Pattie, Marcus Dörr, Zoltán Kutalik, Marco Brumat, Franco Giulianini, Rainer Rettig, Uwe Völker, Georgios Ntritsos, Teresa Nutile, Todd L. Edwards, Albertine J. Oldehinkel, Christopher J. O'Donnell, Jaume Marrugat, Evangelos Evangelou, Nilesh J. Samani, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Francis S. Collins, Tim D. Spector, Simon Thom, Sarah E. Harris, Heather J. Cordell, Helen R. Warren, Cinzia Sala, Peter P. Pramstaller, Seppo Koskinen, Paul F. O'Reilly, Aravinda Chakravarti, Joshua C. Bis, Archie Campbell, Bernard Keavney, Sébastien Thériault, Gonneke Willemsen, Lynda M. Rose, Massimiliano Cocca, Jennifer E. Huffman, Meixia Ren, Massimo Mangino, Markus Perola, Joanna M. M. Howson, David Mosen-Ansorena, Harriëtte Riese, Martin Farrall, Albert V. Smith, Lenore J. Launer, Marina Ciullo, Antti-Pekka Sarin, Veikko Salomaa, Ilaria Gandin, Kent D. Taylor, Peter S. Sever, Markku Laakso, André G. Uitterlinden, Yan V. Sun, Raymond Noordam, Renée de Mutsert, Alan L. James, Jing Hua Zhao, Stefan Enroth, Andrew D. Morris, David S. Siscovick, Andrew D. Johnson, Igor Rudan, Tõnu Esko, Jun Ding, David P. Strachan, Martin D. Tobin, Christopher P. Nelson, Daniela Toniolo, J. Wouter Jukema, Vilmundur Gudnason, Borbala Mifsud, Marty Larson, Andrew A. Hicks, Adriana M. Hung, Antonietta Robino, Ruifang Li-Gao, Paul Elliott, Anne U. Jackson, Michela Traglia, Martin H. de Borst, Germaine C. Verwoert, Rheinhold Schmidt, Fabiola M Del Greco, Åsa Johansson, Anders Hamsten, Csaba P. Kovesdy, Mark J. Caulfield, Cumhur Y Demirkale, John M. C. Connell, Jian'an Luan, K. Witkowska, Georg Ehret, Cecilia M. Lindgren, Oscar H. Franco, Yongmei Liu, Ioanna Tzoulaki, Eric Boerwinkle, Catharina A. Hartman, Muralidharan Sargurupremraj, Claudia Langenberg, J. Michael Gaziano, Peter K. Joshi, Cornelia M. van Duijn, Maris Laan, Nick Shrine, Peter J. van der Most, Michael Boehnke, Leo-Pekka Lyytikäinen, Samuli Ripatti, Ben A. Oostra, Robert A. Scott, Lingchan Lu, Edward G. Lakatta, Yasaman Saba, Daniel Levy, Li Lin, Harold Schneider, Alex S. F. Doney, Michael R. Barnes, Najaf Amin, Hugh Watkins, Paul M. Ridker, Janina S Reid, Ayush Giri, Sekar Kathiresan, Lorna M. Lopez, Mike A. Nalls, Marina Evangelou, Erik Ingelsson, Lili Milani, Alice Stanton, Ozren Polasek, Sara M. Willems, Colin N. A. Palmer, Stéphanie Debette, Dan E. Arking, Helena Schmidt, Paul Knekt, John M. Starr, Yong Qian, Cristina Menni, Yuri Milaneschi, Christophe Tzourio, Tamara B. Harris, Kristin L. Ayers, Peter Vollenweider, Paolo Gasparini, Dennis O. Mook-Kanamori, Rodney J. Scott, Sandosh Padmanabhan, Anubha Mahajan, Peter Almgren, Jacklyn N. Hellwege, Teemu J. Niiranen, Mika Kähönen, Shih-Jen Hwang, Elizabeth G. Holliday, Edith Hofer, Priyanka Nandakumar, Peter J. Munson, Rick Jansen, Andrew P. Morris, Walter Palmas, Ilja M. Nolte, Siim Sõber, Thibaud Boutin, Ahmad Vaez, Albert Hofman, He Gao, Brenda W.J.H. Penninx, Neil Poulter, Alan J. Gow, Caroline Hayward, Nicholas J. Wareham, Elin Org, Philip S. Tsao, Claudia P. Cabrera, Aki S. Havulinna, Dragana Vuckovic, Kelly Cho, Jie Yao, Lars Lind, Jerome I. Rotter, David J. Stott, Ivana Kolcic, Wei-Yu Lin, Tatijana Zemunik, Tineka Blake, Kenneth Rice, Veronique Vitart, Alanna C. Morrison, Kay-Tee Khaw, Marjo-Riitta Järvelin, Guillaume Paré, Jouke-Jan Hottenga, Giorgia Girotto, Chiara Batini, Niki Dimou, Stella Trompet, John Danesh, Annette Peters, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Morris A. Swertz, Jaspal S. Kooner, Niek Verweij, Ibrahim Karaman, Murielle Bochud, Christian Gieger, Ruth J. F. Loos, Daniella Ruggiero, Arno Palotie, David Conen, Raha Pazoki, Denis C. Shields, Rossella Sorice, Philippe Amouyel, Gonçalo R. Abecasis, Andres Metspalu, John Attia, Bruce M. Psaty, Sarah H. Wild, Patricia B. Munroe, Daniel I. Chasman, Ollie Melander, John C. Chambers, Roby Joehanes, Eleftheria Zeggini, Johan Sundström, Chrysovalanto Mamasoula, Benjamin Lehne, Kati Kristiansson, Christopher Oldmeadow, Eco J. C. de Geus, A. Mesut Erzurumluoglu, Anuj Goel, Adam S. Butterworth, Digna R. Velez Edwards, Xiuqing Guo, Antti Jula, Praveen Surendran, Terho Lehtimäki, Mattias Frånberg, Teresa Ferreira, Ian J. Deary, David C. Liewald, Pim van der Harst, Erwin P. Bottinger, Roberto Elosua, and Fu Liang Ng
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Genetics ,0303 health sciences ,Diastole ,Disease ,030204 cardiovascular system & hematology ,Biology ,Precision medicine ,Genetic analysis ,3. Good health ,Pulse pressure ,03 medical and health sciences ,0302 clinical medicine ,Blood pressure ,Disease prevention ,030304 developmental biology ,Genetic association - Abstract
High blood pressure is the foremost heritable global risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits to date (systolic, diastolic, pulse pressure) in over one million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared loci influencing lifestyle exposures. Our findings offer the potential for a precision medicine strategy for future cardiovascular disease prevention.
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- 2017
33. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets from Blood and the Kidney
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Peter Vollenweider, Christophe Tzourio, Stefan Enroth, Cinzia Sala, Mark J. Caulfield, Murielle Bochud, Peter P. Pramstaller, Ozren Polasek, Paul Elliott, Dennis O. Mook-Kanamori, Daniel I. Chasman, Christian Gieger, Harriëtte Riese, Rodney J. Scott, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Priyanka Nandakumar, Tatijana Zemunik, Dragana Vuckovic, Tõnu Esko, Franco Giulianini, Michael Boehnke, Antonietta Robino, Anne U. Jackson, Roby Joehanes, Alanna C. Morrison, Kay-Tee Khaw, Alison Pattie, Peter J. van der Most, Mika Kähönen, Rick Jansen, Andrew D. Johnson, John M. Starr, Marcus Dörr, Anders Hamsten, Kenneth Rice, Alice Stanton, James F. Wilson, Nabi Shah, Weihua Zhang, Andrew A. Hicks, Jeffrey Damman, Jing Hua Zhao, Aarno Palotie, Veronique Vitart, Alan J. Gow, Caroline Hayward, Alan James, Ben A. Oostra, Janina S. Ried, John Beilby, David P. Strachan, Martin D. Tobin, Eco J. C. de Geus, Vilmundur Gudnason, Bruce M. Psaty, Zoltán Kutalik, Neil Poulter, Paul M. Ridker, Johan Sundström, Cornelia M. van Duijn, Eleftheria Zeggini, Christopher Oldmeadow, Borbala Mifsud, Giorgia Girotto, Aravinda Chakravarti, Jonathan Marten, Alexander Teumer, Joanne Knight, Robert A. Scott, Vilmantas Giedraitis, Paul F. O'Reilly, Marco Brumat, Brenda W.J.H. Penninx, Peter J. Munson, Olli T. Raitakari, Leo-Pekka Lyytikäinen, He Gao, Massimo Mangino, Benjamin Lehne, J. Wouter Jukema, Paul Knekt, Catharina A. Hartman, Rona J. Strawbridge, Jouke-Jan Hottenga, Jaspal S. Kooner, Nilesh J. Samani, Kristin L. Ayers, A. Mesut Erzurumluoglu, Joshua C. Bis, Archie Campbell, Dan E. Arking, Germaine C. Verwoert, John Attia, Samuli Ripatti, Yuri Milaneschi, Caterina Barbieri, Fabiola M. Del Greco, C M Lindgren, Peter K. Joshi, Helen R. Warren, Nicholas J. Wareham, Simon Thom, Seppo Koskinen, Tamara B. Harris, Ilaria Gandin, Kent D. Taylor, Andrew D. Morris, Anna Morgan, Chiara Batini, Terho Lehtimäki, Walter Palmas, David Conen, Harold Snieder, Martin H. de Borst, Sarah E. Harris, Igor Rudan, Ruth J. F. Loos, Claudia Langenberg, Anuj Goel, Christopher P. Nelson, Peter S. Braund, Rossella Sorice, Yasaman Saba, Oscar H. Franco, Yongmei Liu, Mattias Frånberg, David S. Siscovick, Patricia B. Munroe, Rainer Rettig, Michela Traglia, Daniel Levy, Li Lin, Michael R. Barnes, Elin Org, Anne-Claire Vergnaud, Andres Metspalu, Stéphanie Debette, Yusuf Demirkale, John M. C. Connell, Jian'an Luan, Paolo Gasparini, Tim D. Spector, Marina Ciullo, Antti-Pekka Sarin, Ian J. Deary, Teemu J. Niiranen, Marty Larson, Heather J. Cordell, Jerome I. Rotter, Sekar Kathiresan, Teresa Nutile, Andrew P. Morris, Denis C. Shields, Alan F. Wright, Lorna M. Lopez, Aki S. Havulinna, Gonçalo R. Abecasis, Edith Hofer, Siim Sõber, Sébastien Thériault, Ahmad Vaez, Albert Hofman, Gonneke Willemsen, Lynda M. Rose, John C. Chambers, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, François Mach, Massimiliano Cocca, Sarah H Wild, Reinhold Schmidt, Jaume Marrugat, Marc A. Seelen, Maris Laan, Aude Saint Pierre, David C. Liewald, Pim van der Harst, Sandosh Padmanabhan, Martin Farrall, Georg Ehret, Albert V. Smith, Quang Tri Nguyen, Ulf Gyllensten, Helena Schmidt, Ganesh Chauhan, Jennifer E. Huffman, Morris A. Swertz, Jaakko Tuomilehto, Louise V. Wain, Meixia Ren, Erwin P. Bottinger, Roberto Elosua, Ivana Kolcic, Veikko Salomaa, Stella Trompet, Bernard Keavney, Claudia P. Cabrera, Bram P. Prins, Jennie Hui, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Shih-Jen Hwang, Jie Yao, Francis S. Collins, Chrysovalanto Mamasoula, Kati Kristiansson, Markus Perola, Renée de Mutsert, Xiuqing Guo, Antti Jula, Daniela Toniolo, Ruifang Li-Gao, Åsa Johansson, Nick Shrine, Teresa Ferreira, Lars Lind, David J. Stott, Tineka Blake, Daniela Ruggiero, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Christopher Newton-Cheh, Marjo-Riitta Järvelin, Guillaume Paré, Joris Deelen, Morris Brown, Gail Davies, Annette Peters, Ioanna Tzoulaki, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Yingchang Lu, Wain, Lv, Vaez, A, Jansen, R, Joehanes, R, van der Most, Pj, Erzurumluoglu, Am, O'Reilly, Pf, Cabrera, Cp, Warren, Hr, Rose, Lm, Verwoert, Gc, Hottenga, Jj, Strawbridge, Rj, Esko, T, Arking, De, Hwang, Sj, Guo, X, Kutalik, Z, Trompet, S, Shrine, N, Teumer, A, Ried, J, Bis, Jc, Smith, Av, Amin, N, Nolte, Im, Lyytikäinen, Lp, Mahajan, A, Wareham, Nj, Hofer, E, Joshi, Pk, Kristiansson, K, Traglia, M, Havulinna, A, Goel, A, Nalls, Ma, Sõber, S, Vuckovic, Dragana, Luan, J, Del Greco, M. F, Ayers, Kl, Marrugat, J, Ruggiero, D, Lopez, Lm, Niiranen, T, Enroth, S, Jackson, Au, Nelson, Cp, Huffman, Je, Zhang, W, Marten, J, Gandin, I, Harris, Se, Zemunik, T, Lu, Y, Evangelou, E, Shah, N, de Borst, Mh, Mangino, M, Prins, Bp, Campbell, A, Li Gao, R, Chauhan, G, Oldmeadow, C, Abecasis, G, Abedi, M, Barbieri, Cm, Barnes, Mr, Batini, C, Beilby, J, Blake, T, Boehnke, M, Bottinger, Ep, Braund, P, Brown, M, Brumat, M, Campbell, H, Chambers, Jc, Cocca, M, Collins, F, Connell, J, Cordell, Hj, Damman, Jj, Davies, G, de Geus, Ej, de Mutsert, R, Deelen, J, Demirkale, Y, Doney, Asf, Dörr, M, Farrall, M, Ferreira, T, Frånberg, M, Gao, H, Giedraitis, V, Gieger, C, Giulianini, F, Gow, Aj, Hamsten, A, Harris, Tb, Hofman, A, Holliday, Eg, Hui, J, Jarvelin, Mr, Johansson, Å, Johnson, Ad, Jousilahti, P, Jula, A, Kähönen, M, Kathiresan, S, Khaw, Kt, Kolcic, I, Koskinen, S, Langenberg, C, Larson, M, Launer, Lj, Lehne, B, Liewald, Dcm, Lin, L, Lind, L, Mach, F, Mamasoula, C, Menni, C, Mifsud, B, Milaneschi, Y, Morgan, Anna, Morris, Ad, Morrison, Ac, Munson, Pj, Nandakumar, P, Nguyen, Qt, Nutile, T, Oldehinkel, Aj, Oostra, Ba, Org, E, Padmanabhan, S, Palotie, A, Paré, G, Pattie, A, Penninx, Bwjh, Poulter, N, Pramstaller, Pp, Raitakari, Ot, Ren, M, Rice, K, Ridker, Pm, Riese, H, Ripatti, S, Robino, A, Rotter, Ji, Rudan, I, Saba, Y, Saint Pierre, A, Sala, Cf, Sarin, Ap, Schmidt, R, Scott, R, Seelen, Ma, Shields, Dc, Siscovick, D, Sorice, R, Stanton, A, Stott, Dj, Sundström, J, Swertz, M, Taylor, Kd, Thom, S, Tzoulaki, I, Tzourio, C, Uitterlinden, Ag, Völker, U, Vollenweider, P, Wild, S, Willemsen, G, Wright, Af, Yao, J, Thériault, S, Conen, D, Attia, J, Sever, P, Debette, S, Mook Kanamori, Do, Zeggini, E, Spector, Td, van der Harst, P, Palmer, Cna, Vergnaud, Ac, Loos, Rjf, Polasek, O, Starr, Jm, Girotto, Giorgia, Hayward, C, Kooner, J, Lindgren, Cm, Vitart, V, Samani, Nj, Tuomilehto, J, Gyllensten, U, Knekt, P, Deary, Ij, Ciullo, M, Elosua, R, Keavney, Bd, Hicks, Aa, Scott, Ra, Gasparini, Paolo, Laan, M, Liu, Y, Watkins, H, Hartman, Ca, Salomaa, V, Toniolo, D, Perola, M, Wilson, Jf, Schmidt, H, Zhao, Jh, Lehtimäki, T, van Duijn, Cm, Gudnason, V, Psaty, Bm, Peters, A, Rettig, R, James, A, Jukema, Jw, Strachan, Dp, Palmas, W, Metspalu, A, Ingelsson, E, Boomsma, Di, Franco, Oh, Bochud, M, Newton Cheh, C, Munroe, Pb, Elliott, P, Chasman, Di, Chakravarti, A, Knight, J, Morris, Ap, Levy, D, Tobin, Md, Snieder, H, Caulfield, Mj, Ehret, G. b., Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Vascular Ageing Programme (VAP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Institute for Organ Transplantation (GIOT), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Epidemiology, Gastroenterology & Hepatology, Clinical Genetics, Internal Medicine, Erasmus MC other, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, Division 6, APH - Mental Health, APH - Digital Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology
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0301 basic medicine ,cardiovascular risk ,Netherlands Twin Register (NTR) ,hypertension ,NETHERLANDS ,Sistema cardiovascular -- Malalties ,GWAS ,blood pressure ,complex traits ,eSNP ,Locus (genetics) ,Genome-wide association study ,Disease ,Biology ,PERIPHERAL-BLOOD ,1102 Cardiovascular Medicine And Haematology ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Genetic variation ,Internal Medicine ,Journal Article ,Cardiac and Cardiovascular Systems ,1000 Genomes Project ,Gene ,CENTRIC ARRAY ,METAANALYSIS ,Genetics ,ddc:616 ,Kardiologi ,PULSE PRESSURE ,COMMON VARIANTS ,1103 Clinical Sciences ,ta3121 ,3. Good health ,INDIVIDUALS ,030104 developmental biology ,Blood pressure ,TARGET ,Cardiovascular System & Hematology ,complex trait ,GWAS, blood pressure, cardiovascular risk, complex traits, eSNP, hypertension ,Hipertensió ,Imputation (genetics) ,TRAITS - Abstract
Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7 , TNXB , LRP12 , LOC283335 , SEPT9 , and AKT2 , and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA . Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.
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- 2017
34. Meta-analysis of exome array data identifies six novel genetic loci for lung function
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Oluf Pederson, Kristin M. Burkart, Konstantin Strauch, Johanne Marie Justesen, Albert V. Smith, Megan L. Grove, Gail Davies, Jennifer A. Brody, Nora Franceschini, Medea Imboden, Anu Loukola, Andrew P. Morris, Susan R. Heckbert, Jennifer E. Huffman, Yongmei Liu, John M. Starr, Stefan Weiss, Kurt Lohman, Henrik Vestergaard, Blair H. Smith, Ozren Polasek, Anubha Mahajan, Archie Campbell, Kari E. North, Mika Kähönen, Guy Brusselle, Nicole Probst-Hensch, Ani Manichaikul, Tess D. Pottinger, André G. Uitterlinden, Charlotta Pisinger, Stephen S. Rich, Traci M. Bartz, Vilmundur Gudnason, George T. O'Connor, R. Graham Barr, Erik Ingelsson, Stefan Enroth, Bruce M. Psaty, Lars Lind, Wei Gao, Tamara B. Harris, Don D. Sin, Patricia A. Cassano, Sven Gläser, Terho Lehtimäki, Niels Grarup, Jette Bork-Jensen, Ruifang Li-Gao, Annah B. Wyss, Åsa Johansson, Jin Li, Yohan Bossé, Ma'en Obeidat, Jeanne C. Latourelle, Josée Dupuis, Ian J. Deary, James G. Wilson, Beenish Qaiser, Dennis O. Mook-Kanamori, Taina Rantanen, Ashok Kumar, Stephen B. Kritchevsky, Bram P. Prins, Caroline Hayward, Stefan Karrasch, Tea Skaaby, Tarunveer S. Ahluwalia, Alexander Teumer, Ulf Gyllensten, Lies Lahousse, Victoria E. Jackson, Eleftheria Zeggini, Wim Timens, Kent D. Taylor, Allan Linneberg, Jonathan Marten, Olli T. Raitakari, Tobias Bonten, Sarah E. Harris, Elisabeth Altmaier, David J. Porteous, Torben Hansen, Wenbo Tang, Ian P. Hall, Sina A. Gharib, Louise V. Wain, Renée de Mutsert, Shona M. Kerr, Rajesh Rawal, Ke Hao, Beate Stubbe, Colleen M. Sitlani, Josyf C. Mychaleckyj, Leslie A. Lange, Aldi T. Kraja, David P. Strachan, Martin D. Tobin, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, M. Arfan Ikram, Allan Lind-Thomsen, Michael A. Province, Stephanie J. London, Alanna C. Morrison, Holger Schulz, Jaakko Kaprio, Epidemiology, Radiology & Nuclear Medicine, Pulmonary Medicine, Internal Medicine, Neurology, Groningen Research Institute for Asthma and COPD (GRIAC), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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0301 basic medicine ,Nonsynonymous substitution ,Vital capacity ,Medicine (miscellaneous) ,Genome-wide association study ,Single-nucleotide polymorphism ,Biology ,Genome ,General Biochemistry, Genetics and Molecular Biology ,hengityselimet ,03 medical and health sciences ,FEV1/FVC ratio ,0302 clinical medicine ,Medicine and Health Sciences ,medicine ,COPD ,GWAS ,keuhkot ,Exome ,030304 developmental biology ,Genetics ,0303 health sciences ,exome array ,ta1184 ,Lung function, respiratory, exome array, GWAS, COPD ,Biology and Life Sciences ,ta3141 ,lung function ,Articles ,Genomics ,ta3121 ,respiratory system ,respiratory ,medicine.disease ,respiratory tract diseases ,030104 developmental biology ,030220 oncology & carcinogenesis ,Expression quantitative trait loci ,Research Article - Abstract
Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P-7) associations with six SNPs: a nonsynonymous variant in RPAP1, which is predicted to be damaging, three intronic SNPs (SEC24C, CASC17 and UQCC1) and two intergenic SNPs near to LY86 and FGF10. Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including TYRO3 and PLAU. Conclusions: Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.
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- 2017
35. Discovery of novel heart rate-associated loci using the Exome Chip
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Massimo Mangino, Alison D. Murray, Kathleen Stirrups, Antonella Mulas, Claudia P. Cabrera, Stephan B. Felix, Martin D. Tobin, Jerome I. Rotter, Jan A. Kors, Arno W. Hoes, Bruno H. Stricker, David J. Porteous, Cornelia M. van Duijn, Yi-Ping Fu, George Dedoussis, Ozren Polasek, Nathan A. Bihlmeyer, Ruben N. Eppinga, Marco Orru, Torben Hansen, Elsayed Z. Soliman, James G. Wilson, Martina Müller-Nurasyid, Stefan Weiss, Peter W. Macfarlane, Oluf Pedersen, Honghuang Lin, Joshua C. Bis, Mika Kähönen, Farid Radmanesh, Sandosh Padmanabhan, Xiuqing Guo, Henry J. Lin, Tamara B. Harris, Magdalena Zoledziewska, Nabi Shah, Ilonca Vaartjes, Niels Grarup, Mark J. Caulfield, Yalda Jamshidi, Bram P. Prins, J. Wouter Jukema, Nona Sotoodehnia, Andrew Tinker, Jørgen K. Kanters, Patrick T. Ellinor, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Man Li, Marcus Dörr, Hugoline G. de Haan, Charles Kooperberg, Moritz F. Sinner, Eleftheria Zeggini, Lihong Qi, Aaron Isaacs, Susan R. Heckbert, Carolina Roselli, Serena Sanna, Bruce M. Psaty, Niek Verweij, Dennis O. Mook-Kanamori, Shih-Jen Hwang, Stefan Kääb, Melanie Waldenberger, Rudolf A. de Boer, Caroline Hayward, Annette Peters, Uwe Völker, Giorgio Pistis, Jeffrey Haessler, Folkert W. Asselbergs, Alex S. F. Doney, Albert V. Smith, Yanick Hagemeijer, Lenore J. Launer, Steven A. Lubitz, Peter S. Sever, André G. Uitterlinden, Jonathan Rosand, Renée de Mutsert, Anna F. Dominiczak, Colin N. A. Palmer, Jennifer A. Brody, Naveed Sattar, Ivana Kolcic, Paul L. Huang, Stella Trompet, Aiman Entwistle, Terho Lehtimäki, Peter van der Meer, Nilesh J. Samani, Alice Stanton, Ruifang Li-Gao, Patricia B. Munroe, Pim van der Harst, Kent D. Taylor, Andrew D. Morris, Igor Rudan, Christopher P. Nelson, Simin Liu, Neil R Poulter, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Marten E. van den Berg, Allan Linneberg, Zhijun Xie, Claudia Tamar Silva, Jessica van Setten, Jonathan Marten, Jie Yao, Olli T. Raitakari, Christopher J. O'Donnell, Vilmundur Gudnason, Borbala Mifsud, Mark Eijgelsheim, Panos Deloukas, Hao Mei, Tim D. Spector, Dan E. Arking, Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Medical Informatics, Epidemiology, Internal Medicine, Biochemie, RS: FHML MaCSBio, RS: CARIM - R1.01 - Blood proteins & engineering, and Zorgwetenschappen
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0301 basic medicine ,Male ,Candidate gene ,PROTEIN ,Genome-wide association study ,VARIANTS ,DISEASE ,Gene Frequency ,Heart Rate ,Risk Factors ,Exome ,Genetics(clinical) ,Genetics (clinical) ,Oligonucleotide Array Sequence Analysis ,ALL-CAUSE MORTALITY ,Genetics ,Genetics & Heredity ,Association Studies Articles ,General Medicine ,Single Nucleotide ,11 Medical And Health Sciences ,Middle Aged ,3. Good health ,Female ,Life Sciences & Biomedicine ,PROJECT ,Adult ,Biochemistry & Molecular Biology ,Genotype ,European Continental Ancestry Group ,Locus (genetics) ,Biology ,Polymorphism, Single Nucleotide ,White People ,03 medical and health sciences ,RISK-FACTOR ,Heart rate ,Journal Article ,Humans ,Genetic Predisposition to Disease ,Allele ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Allele frequency ,Molecular Biology ,Alleles ,Science & Technology ,IDENTIFICATION ,ta1184 ,COMPLEX TRAITS ,ta1182 ,heart rate ,exome ,meta-analysis ,ta3121 ,06 Biological Sciences ,GENE ,Genetic architecture ,030104 developmental biology ,Genetic Loci ,Genome-Wide Association Study - Abstract
Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. Genome-wide association study analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation. This study aims to discover new genetic loci associated with heart rate from Exome Chip meta-analyses.\ud \ud Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104 452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134 251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.\ud \ud We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2 and SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long-range regulatory chromatin interactions in heart tissue (SCD, SLF2 and MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.\ud \ud Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.
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- 2017
36. Consequences of natural perturbations in the human plasma proteome
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Dirk S. Paul, Joseph C. Maranville, Sarah L. Spain, Ellie Paige, Karsten Suhre, Caroline S. Fox, Bradley, Benjamin B. Sun, Praveen Surendran, David J. Roberts, James E. Peters, Clare Oliver-Williams, John Danesh, David Stacey, Mihir A Kamat, Nebojsa Janjic, Robert M. Plenge, An Chi, Narinder Bansal, Tao Jiang, Angela M. Wood, Erik S Zimmerman, Bram P. Prins, Willem H. Ouwehand, Stephen Burgess, James A. Blackshaw, Heiko Runz, John A. Todd, Sheri K. Wilcox, Adam S. Butterworth, Staley, Nicole Soranzo, and Nicholas W. Morrell
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Genetics ,Drug ,0303 health sciences ,media_common.quotation_subject ,Mendelian Randomization Analysis ,Genomics ,Disease ,Biology ,Genetic architecture ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,Human plasma ,Genetic variation ,Proteome ,030217 neurology & neurosurgery ,030304 developmental biology ,media_common - Abstract
Proteins are the primary functional units of biology and the direct targets of most drugs, yet there is limited knowledge of the genetic factors determining inter-individual variation in protein levels. Here we reveal the genetic architecture of the human plasma proteome, testing 10.6 million DNA variants against levels of 2,994 proteins in 3,301 individuals. We identify 1,927 genetic associations with 1,478 proteins, a 4-fold increase on existing knowledge, including trans associations for 1,104 proteins. To understand consequences of perturbations in plasma protein levels, we introduce an approach that links naturally occurring genetic variation with biological, disease, and drug databases. We provide insights into pathogenesis by uncovering the molecular effects of disease-associated variants. We identify causal roles for protein biomarkers in disease through Mendelian randomization analysis. Our results reveal new drug targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development.
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- 2017
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37. Novel blood pressure locus and gene discovery using GWAS and expression datasets from blood and the kidney
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Ganesh Chauhan, Dragana Vuckovic, Yingchang Lu, Bernard Keavney, Patricia B. Munroe, Tim D. Spector, Tamara B. Harris, Chiara Batini, Harold Snieder, Yusuf Demirkale, Ulf Gyllensten, Heather J. Cordell, Christopher Newton-Cheh, Anne-Claire Vergnaud, Christophe Tzourio, Giorgia Girotto, Morris A. Swertz, John C. Chambers, Xiuqing Guo, Caterina Barbieri, Joris Deelen, Morris Brown, Igor Rudan, Christopher P. Nelson, Paul Knekt, Antti-Pekka Sarin, Peter Vollenweider, Lynda M. Rose, Ozren Polasek, Nilesh J. Samani, Murielle Bochud, James F. Wilson, Anna Morgan, Gail Davies, Ian J. Deary, Massimiliano Cocca, Antti Jula, Ioanna Tzoulaki, Jaspal S. Kooner, Sarah H Wild, Peter S. Braund, John M. Starr, Simon Thom, Christian Gieger, Rainer Rettig, John M. C. Connell, Marina Ciullo, Jian'an Luan, Rodney J. Scott, Franco Giulianini, Brenda W.J.H. Penninx, Mika Kähönen, Alison Pattie, Nabi Shah, Weihua Zhang, Ruth J. F. Loos, Maris Laan, Martin Farrall, Rick Jansen, Albert V. Smith, Sarah E. Harris, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Paul M. Ridker, John Attia, Alanna C. Morrison, Kay-Tee Khaw, Jaume Marrugat, Hugh Watkins, David C. Liewald, Pim van der Harst, Benjamin Lehne, Jennifer E. Huffman, Meixia Ren, Zoltán Kutalik, Lars Lind, Walter Palmas, Teresa Ferreira, David J. Stott, Janina S. Ried, Bruce M. Psaty, Paul F. O'Reilly, Massimo Mangino, Tõnu Esko, Jonathan Marten, Nick Shrine, Anders Hamsten, Tineka Blake, Yuri Milaneschi, Jing Hua Zhao, David Conen, Kristin L. Ayers, Germaine C. Verwoert, Veikko Salomaa, Olli T. Raitakari, Jaakko Tuomilehto, Louise V. Wain, Jennie Hui, Elin Org, Gonçalo R. Abecasis, Vilmundur Gudnason, Andrew A. Hicks, Rossella Sorice, Borbala Mifsud, Helen R. Warren, Jerome I. Rotter, Erwin P. Bottinger, Roberto Elosua, Antonietta Robino, Ilaria Gandin, Andres Metspalu, Marjo-Riitta Järvelin, Guillaume Paré, Anne U. Jackson, Jie Yao, Kent D. Taylor, Denis C. Shields, Andrew D. Morris, Daniela Ruggiero, Samuli Ripatti, C M Lindgren, Mike A. Nalls, Erik Ingelsson, Michela Traglia, Jeffrey Damman, J. Wouter Jukema, Catharina A. Hartman, Eco J. C. de Geus, Colin N. A. Palmer, Peter J. van der Most, Neil Poulter, Robert A. Scott, Anuj Goel, Aude Saint Pierre, Annette Peters, Paul Elliott, Daniel I. Chasman, Marco Brumat, Dennis O. Mook-Kanamori, Priyanka Nandakumar, Roby Joehanes, Cornelia M. van Duijn, Joshua C. Bis, Eleftheria Zeggini, Archie Campbell, Ivana Kolcic, Terho Lehtimäki, Mattias Frånberg, David S. Siscovick, Dan E. Arking, Shih-Jen Hwang, Stella Trompet, Christopher Oldmeadow, A. Mesut Erzurumluoglu, Nicholas J. Wareham, Alice Stanton, Chrysovalanto Mamasoula, Seppo Koskinen, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Peter J. Munson, Aarno Palotie, Daniela Toniolo, He Gao, Ruifang Li-Gao, Claudia Langenberg, Kati Kristiansson, Åsa Johansson, Johan Sundström, Francis S. Collins, Alan J. Gow, Caroline Hayward, Markus Perola, Renée de Mutsert, Alan James, Ben A. Oostra, Alexander Teumer, Joanne Knight, Vilmantas Giedraitis, Marty Larson, Helena Schmidt, Sébastien Thériault, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, Marc A. Seelen, Georg Ehret, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Stéphanie Debette, Paolo Gasparini, Teemu J. Niiranen, Stefan Enroth, Mark J. Caulfield, Andrew P. Morris, Aki S. Havulinna, Cinzia Sala, Peter P. Pramstaller, Marcus Dörr, Quang Tri Nguyen, Claudia P. Cabrera, Bram P. Prins, Peter K. Joshi, Sekar Kathiresan, Lorna M. Lopez, Reinhold Schmidt, Sandosh Padmanabhan, Teresa Nutile, Gonneke Willemsen, François Mach, Michael Boehnke, John Beilby, Leo-Pekka Lyytikäinen, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Martin H. de Borst, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Aravinda Chakravarti, Jouke-Jan Hottenga, Fabiola M. Del Greco, Yasaman Saba, Daniel Levy, Li Lin, Michael R. Barnes, Rona J. Strawbridge, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, and Martin D. Tobin
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Genetics ,0303 health sciences ,Genomics ,Locus (genetics) ,Genome-wide association study ,Biology ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,Blood pressure ,Genetic variation ,1000 Genomes Project ,Gene ,030217 neurology & neurosurgery ,Imputation (genetics) ,030304 developmental biology - Abstract
Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project-based imputation in 150,134 European ancestry individuals and sought significant evidence for independent replication in a further 228,245 individuals. We report 6 new signals of association in or near HSPB7, TNXB, LRP12, LOC283335, SEPT9 and AKT2, and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA. Combining large whole-blood gene expression resources totaling 12,607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in BP regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.
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- 2017
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38. Evidence for large-scale gene-by-smoking interaction effects on pulmonary function
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Hugues Aschard, Martin D Tobin, Dana B Hancock, David Skurnik, Akshay Sood, Alan James, Albert Vernon Smith, Ani W Manichaikul, Archie Campbell, Bram P Prins, Caroline Hayward, Daan W Loth, David J Porteous, David P Strachan, Eleftheria Zeggini, George T O’Connor, Guy G Brusselle, H Marike Boezen, Holger Schulz, Ian J Deary, Ian P Hall, Igor Rudan, Jaakko Kaprio, James F Wilson, and Jemma B Wilk
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- 2017
- Full Text
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39. Sequencing of SCN5A Identifies Rare and Common Variants Associated With Cardiac Conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium
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Honghuang Lin, Bram P. Prins, Herman A. Taylor, Alvaro Alonso, Eric Boerwinkle, Susan R. Heckbert, N. Sotoodehnia, Dan E. Arking, Elsayed Z. Soliman, L. Adrienne Cupples, Alanna C. Morrison, Ching-Ti Liu, Colleen M. Sitlani, Rebecca D. Jackson, Feng Zhang, Donna M. Muzny, Stephen S. Rich, Leslie A. Lange, Bruce M. Psaty, Yalda Jamshidi, Joshua C. Bis, Jireh Santibanez, Steven A. Lubitz, Christopher J. O'Donnell, Jared W. Magnani, Tim D. Spector, Xiaoyan Yin, Jennifer A. Brody, Richard A. Gibbs, Christopher Newton-Cheh, Jerome I. Rotter, Emelia J. Benjamin, Patrick T. Ellinor, Thomas Lumley, and Sara L. Pulit
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Adult ,Male ,Aging ,congenital, hereditary, and neonatal diseases and abnormalities ,Heart Diseases ,electrocardiography ,Genomics ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,Article ,DISEASE ,NAV1.5 Voltage-Gated Sodium Channel ,Cohort Studies ,QRS complex ,PR INTERVAL ,CODING VARIANTS ,Heart Conduction System ,Cardiac conduction ,genomics ,Genetics ,Humans ,WIDE ASSOCIATION ,cardiovascular diseases ,PR interval ,Genetics (clinical) ,Exome sequencing ,Aged ,Aged, 80 and over ,MUTATIONS ,SICK SINUS SYNDROME ,Genetic Variation ,Sequence Analysis, DNA ,Middle Aged ,SODIUM-CHANNEL ,DILATED CARDIOMYOPATHY ,Minor allele frequency ,LONG QT SYNDROME ,cardiovascular system ,Female ,QRS DURATION ,Electrical conduction system of the heart ,Cardiology and Cardiovascular Medicine ,Genome-Wide Association Study - Abstract
Background— The cardiac sodium channel SCN5A regulates atrioventricular and ventricular conduction. Genetic variants in this gene are associated with PR and QRS intervals. We sought to characterize further the contribution of rare and common coding variation in SCN5A to cardiac conduction. Methods and Results— In Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1%) and 157 rare variants. Common and rare SCN5A coding variants were examined for association with PR and QRS intervals through meta-analysis of European ancestry participants from CHARGE, National Heart, Lung, and Blood Institute’s Exome Sequencing Project (n=607), and the UK10K (n=1275) and by examining Exome Sequencing Project African ancestry participants (n=972). Rare coding SCN5A variants in aggregate were associated with PR interval in European and African ancestry participants ( P =1.3×10 −3 ). Three common variants were associated with PR and QRS interval duration among European ancestry participants and one among African ancestry participants. These included 2 well-known missense variants: rs1805124 (H558R) was associated with PR and QRS shortening in European ancestry participants ( P =6.25×10 −4 and P =5.2×10 −3 , respectively) and rs7626962 (S1102Y) was associated with PR shortening in those of African ancestry ( P =2.82×10 −3 ). Among European ancestry participants, 2 novel synonymous variants, rs1805126 and rs6599230, were associated with cardiac conduction. Our top signal, rs1805126 was associated with PR and QRS lengthening ( P =3.35×10 −7 and P =2.69×10 −4 , respectively) and rs6599230 was associated with PR shortening ( P =2.67×10 −5 ). Conclusions— By sequencing SCN5A , we identified novel common and rare coding variants associated with cardiac conduction.
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- 2014
40. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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Aravinda Chakravarti, Jennifer E. Huffman, Meixia Ren, Veikko Salomaa, Christopher Newton-Cheh, Johan Sundström, Alan L. James, Joris Deelen, Raha Pazoki, Michela Traglia, Tõnu Esko, Seppo Koskinen, Christopher J. O'Donnell, Csaba P. Kovesdy, Daniel I. Chasman, Paul F. O'Reilly, Roby Joehanes, Paul M. Ridker, G. Abecasis, Lars Lind, Dragana Vuckovic, Yingchang Lu, Antonietta Robino, Anders Hamsten, Muralidharan Sargurupremraj, Caterina Barbieri, Anne U. Jackson, Anna Morgan, Claudia Langenberg, Peter S. Braund, Rainer Rettig, Murielle Bochud, Vilmundur Gudnason, Eleftheria Zeggini, David J. Stott, Joop Jukema, Nick Shrine, Jun Ding, Olle Melander, Massimo Mangino, Borbala Mifsud, Frank H. Collins, Liewald Dcm., Tineka Blake, Peter K. Joshi, Yan V. Sun, Aarno Palotie, Maciej Tomaszewski, Jarvelin M-R., Kati Kristiansson, L. J. Launer, Sara M. Willems, Ian J. Deary, Christophe Tzourio, Alan J. Gow, Caroline Hayward, Guillaume Paré, Christopher Oldmeadow, John M. Starr, Paul Elliott, Morris A. Swertz, C M van Duijn, Sekar Kathiresan, Lorna M. Lopez, Neil R Poulter, Mike A. Nalls, Erik Ingelsson, Eric Boerwinkle, Catharina A. Hartman, Giorgia Girotto, Ben A. Oostra, Markus Perola, Paul Knekt, Lyytikäinen L-P., T.B. Harris, J. C. Bis, Harriëtte Riese, J. Marrugat, Samuli Ripatti, Howson Jmm., Archie Campbell, C M Lindgren, Adam S. Butterworth, Xiuqing Guo, Lin W-Y., Priyanka Nandakumar, David Mosen-Ansorena, Alison Pattie, Marco Brumat, Annette Peters, Georgios Ntritsos, Ivana Kolcic, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Stella Trompet, K. Witkowska, Hottenga J-J., Tim D. Spector, Maris Laan, Vilmantas Giedraitis, Bram P. Prins, Loos Rjf., M. H. de Borst, Antti Jula, Lynda M. Rose, Massimiliano Cocca, Daniela Toniolo, Igor Rudan, P. J. van der Most, Fu Liang Ng, Heather J. Cordell, Walter Palmas, John Danesh, John Attia, Dan E. Arking, Ganesh Chauhan, C Gieger, P. van der Harst, Penninx Bwjh., Kristin L. Ayers, Germaine C. Verwoert, Bruce M. Psaty, Jaspal S. Kooner, Ruifang Li-Gao, Benjamin Lehne, Khaw K-T., Sandosh Padmanabhan, Franco Giulianini, Erwin P. Bottinger, Roberto Elosua, Christopher P. Nelson, Ozren Polasek, D.R. Velez Edwards, Martin Farrall, Ioanna Tzoulaki, Peter Vollenweider, Uwe Völker, Albertine J. Oldehinkel, Åsa Johansson, Helen R. Warren, Evan Tzanis, Albert V. Smith, Hwang S-J., Teresa Ferreira, E.J.C. de Geus, Evangelos Evangelou, Niek Verweij, R. J. Scott, Pekka Jousilahti, Elin Org, Stefan Enroth, Dorret I. Boomsma, Harry Campbell, Andrew D. Johnson, David Conen, James F. Wilson, Edward G. Lakatta, Anuj Goel, Raymond Noordam, Najaf Amin, David P. Strachan, Martin D. Tobin, Francesco Cucca, Doney Asf., Todd L. Edwards, Jerome I. Rotter, Mika Kähönen, Hugh Watkins, Rossella Sorice, John M. C. Connell, David S. Siscovick, Sébastien Thériault, Jian'an Luan, Marty Larson, Philippe Amouyel, A C Morrison, Louise V. Wain, Reedik Mägi, Jonathan Marten, Thibaud Boutin, Nabi Shah, Weihua Zhang, Palmer Cna., Daniela Ruggiero, Zhao J-H., Olli T. Raitakari, Bernard Keavney, Peter S. Sever, Philip S. Tsao, Jie Yao, André G. Uitterlinden, Marina Evangelou, Zoltán Kutalik, Robert A. Scott, Helena Schmidt, J. Tuomilehto, Nilesh J. Samani, Quang Tri Nguyen, John Michael Gaziano, Georg Ehret, Praveen Surendran, Terho Lehtimäki, Mark J. Caulfield, Denis C. Shields, Rick Jansen, Sarin A-P., Alice Stanton, Mattias Frånberg, Cumhur Y Demirkale, Stéphanie Debette, Paolo Gasparini, Ilaria Gandin, Simon Thom, Kent D. Taylor, Andrew D. Morris, Claudia P. Cabrera, Teemu J. Niiranen, Nicholas J. Wareham, Andrew P. Morris, Yasaman Saba, Daniel Levy, Aki S. Havulinna, Kelly Cho, Sarah E. Harris, Li Lin, Janina S. Ried, Michael R. Barnes, Sarah H. Wild, Patricia B. Munroe, Vergnaud A-C., Lorenz Risch, Rona J. Strawbridge, Y. Milaneschi, John C. Chambers, Yong Qian, Cristina Menni, Anubha Mahajan, Peter Almgren, Gary Davies, Jacklyn N. Hellwege, Elizabeth G. Holliday, A. Metspalu, Ilja M. Nolte, Peter J. Munson, He Gao, Marcus Dörr, Cinzia Sala, Peter P. Pramstaller, Teresa Nutile, Wilson Pwf., Gonneke Willemsen, Markku Laakso, Chiara Batini, Harold Snieder, Ibrahim Karaman, Adriana M. Hung, Reinhold Schmidt, R. de Mutsert, Michael Boehnke, Lili Milani, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Marina Ciullo, Niki Dimou, Morris J. Brown, Crysovalanto Mamasoula, A.M. Erzurumluoglu, Andrew A. Hicks, Ayush Giri, Dennis O. Mook-Kanamori, Home Office, UNIVERSITY OF OULU, Commission of the European Communities, Medical Research Council (MRC), Action on Hearing Loss, British Heart Foundation, National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, and UK DRI Ltd
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Genetics & Heredity ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Science & Technology ,computer.internet_protocol ,Million Veteran Program ,Genome-wide association study ,Computational biology ,06 Biological Sciences ,Biology ,Genetic analysis ,03 medical and health sciences ,030104 developmental biology ,Genetics ,Genome informatics ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Life Sciences & Biomedicine ,computer ,11 Medical and Health Sciences ,XML ,Developmental Biology - Abstract
In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.
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- 2018
41. Eosinophil Count Is a Common Factor for Complex Metabolic and Pulmonary Traits and Diseases: The LifeLines Cohort Study
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Marzyeh Amini, Dinara Bashirova, Bram P Prins, Eva Corpeleijn, LifeLines Cohort Study, Marcel Bruinenberg, Lude Franke, Pim van der Harst, Gerjan Navis, Bruce H R Wolffenbuttel, Ronald P Stolk, Cisca Wijmenga, Dirkje S Postma, Gerard H Koppelman, H Marike Boezen, Judith Vonk, Harold Snieder, Behrooz Z Alizadeh, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Value, Affordability and Sustainability (VALUE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)
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Male ,Pulmonology ,Physiology ,Myocardial Infarction ,lcsh:Medicine ,Blood Pressure ,030204 cardiovascular system & hematology ,Vascular Medicine ,Body Mass Index ,Cohort Studies ,Leukocyte Count ,Pulmonary Disease, Chronic Obstructive ,White Blood Cells ,0302 clinical medicine ,Animal Cells ,GENETIC-VARIANTS ,Medicine and Health Sciences ,Medicine ,DIFFERENTIAL LEUKOCYTE COUNTS ,lcsh:Science ,Metabolic Syndrome ,education.field_of_study ,Multidisciplinary ,Hematology ,Middle Aged ,Body Fluids ,Blood ,Physiological Parameters ,Cohort ,Regression Analysis ,Female ,Cellular Types ,Anatomy ,Lipoproteins, HDL ,Research Article ,Cohort study ,Adult ,medicine.medical_specialty ,BLOOD-CELL COUNTS ,Immune Cells ,Chronic Obstructive Pulmonary Disease ,Immunology ,Population ,Cardiology ,SPUTUM EOSINOPHILS ,HEART-DISEASE ,AIRWAY EOSINOPHILIA ,03 medical and health sciences ,FEV1/FVC ratio ,Sex Factors ,INFLAMMATION ,Internal medicine ,Humans ,Obesity ,education ,Aged ,Glycated Hemoglobin ,Blood Cells ,business.industry ,Body Weight ,lcsh:R ,Biology and Life Sciences ,Cell Biology ,Odds ratio ,medicine.disease ,Asthma ,Eosinophils ,Blood Counts ,BODY-MASS INDEX ,EXACERBATIONS ,Logistic Models ,030228 respiratory system ,Multivariate Analysis ,lcsh:Q ,Metabolic syndrome ,business ,Body mass index ,SEVERE ASTHMA - Abstract
There is ongoing debate on the association between eosinophil count and diseases, as previous studies were inconsistent. We studied the relationship of eosinophil count with 22 complex metabolic, cardiac, and pulmonary traits and diseases. From the population-based LifeLines Cohort Study (N = 167,729), 13,301 individuals were included. We focused on relationship of eosinophil count with three classes of metabolic (7 traits, 2 diseases), cardiac (6 traits, 2 diseases), and pulmonary (2 traits, 2 diseases) outcomes. Regression analyses were applied in overall, women and men, while adjusted for age, sex, BMI and smoking. A p-value of
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- 2016
42. Genetics of coronary artery disease
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Bram P. Prins, Jingyuan Fu, Folkert W. Asselbergs, Vasiliki Lagou, Harold Snieder, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Proteomics ,Risk ,Genome-wide association study ,COMPLEX DISEASES ,Genotype ,Quantitative Trait Loci ,Single-nucleotide polymorphism ,HEART-DISEASE ,030204 cardiovascular system & hematology ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Coronary artery disease ,Heritability ,03 medical and health sciences ,0302 clinical medicine ,Genotype-phenotype distinction ,Missing heritability problem ,MISSING HERITABILITY ,Humans ,LP(A) LIPOPROTEIN ,Genetic Predisposition to Disease ,Epigenetics ,SUSCEPTIBILITY LOCUS ,Systems genetics ,030304 developmental biology ,Genetics ,0303 health sciences ,Systems Biology ,SINGLE-NUCLEOTIDE POLYMORPHISMS ,2-LOCUS LINKAGE ANALYSIS ,Phenotype ,MYOCARDIAL-INFARCTION ,RARE VARIANTS ,CARDIOVASCULAR-DISEASE ,Cardiology and Cardiovascular Medicine - Abstract
Genome-wide association (GWA) studies on coronary artery disease (CAD) have been very successful, identifying a total of 32 susceptibility loci so far. Although these loci have provided valuable insights into the etiology of CAD, their cumulative effect explains surprisingly little of the total CAD heritability. In this review, we first highlight and describe the type of genetic variants potentially underlying the missing heritability of CAD: single nucleotide polymorphisms (SNPs) or structural variants, each ofwhich may either be common or rare. Although finding missing heritability is important, we further argue in this review that it constitutes only a first step towards a fuller understanding of the etiology of CAD development. To close the gap between the genotype and phenotype, we propose a systems genetics approach in the post-GWA study era. This approach that integrates genetic, epigenetic, transcriptomic, proteomic, metabolic and intermediate outcome variables has potential to significantly aid the understanding of CAD etiology. (c) 2012 Elsevier Ireland Ltd. All rights reserved.
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- 2012
43. Role of common and rare variants in SCN10A: results from the Brugada syndrome QRS locus gene discovery collaborative study
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Peter Weeke, Bram P. Prins, Yalda Jamshidi, Stefan Kääb, Margherita Torchio, Evmorfia Petropoulou, Dan M. Roden, Sanjay Sharma, Eline A. Nannenberg, Lia Crotti, Pascale Guicheney, Javad Jabbari, Julien Barc, Tao Yang, Peter J. Schwartz, Anders G. Holst, Eleonora Savio-Galimberti, Morten S. Olesen, Michael J. Ackerman, Connie R. Bezzina, Vincent Probst, Yuka Mizusawa, Dawood Darbar, Elijah R. Behr, Arthur A.M. Wilde, Myriam Berthet, Rachel Bastiaenan, Richard Redon, Antoine Leenhardt, Federica Dagradi, Stig Haunsø, Jacob Tfelt-Hansen, Behr, E, Savio-Galimberti, E, Barc, J, Holst, A, Petropoulou, E, Prins, B, Jabbari, J, Torchio, M, Berthet, M, Mizusawa, Y, Yang, T, Nannenberg, E, Dagradi, F, Weeke, P, Bastiaenan, R, Ackerman, M, Haunso, S, Leenhardt, A, Kääb, S, Probst, V, Redon, R, Sharma, S, Wilde, A, Tfelt-Hansen, J, Schwartz, P, Roden, D, Bezzina, C, Olesen, M, Darbar, D, Guicheney, P, Crotti, L, Jamshidi, Y, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA), Physiopathologie et thérapie du muscle strié, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-Institut National de la Santé et de la Recherche Médicale (INSERM), School of Chemical Engineering [Anshan], University of Science and Technology LiaoNing (USTL), Rigshospitalet [Copenhagen], Copenhagen University Hospital, Service de Cardiologie, AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7)-PRES Sorbonne Paris Cité-Centre de Référence Maladies Cardiaques Héréditaires, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche de l'institut du thorax (ITX-lab), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Cardiology, ACS - Amsterdam Cardiovascular Sciences, and Human Genetics
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Male ,SCN10A ,Candidate gene ,QRS duration ,Heredity ,Physiology ,[SDV]Life Sciences [q-bio] ,DNA Mutational Analysis ,Action Potentials ,Gene Frequency ,Risk Factors ,Databases, Genetic ,Odds Ratio ,humans ,Exome sequencing ,Brugada syndrome ,Genetics ,adult ,Single Nucleotide ,Middle Aged ,Pedigree ,3. Good health ,Europe ,Phenotype ,Female ,Corrigendum ,Cardiology and Cardiovascular Medicine ,Saudi Arabia ,BIO/18 - GENETICA ,Biology ,Transfection ,Polymorphism, Single Nucleotide ,Sudden death ,Cell Line ,NAV1.8 Voltage-Gated Sodium Channel ,Databases ,Genetic ,Physiology (medical) ,Cardiac conduction ,medicine ,Genetic Predisposition to Disease ,Polymorphism ,Allele ,Allele frequency ,Genetic Association Studies ,MED/01 - STATISTICA MEDICA ,Aged ,Genetic heterogeneity ,Computational Biology ,Rare variant ,Rare variants ,Original Articles ,MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE ,medicine.disease ,United States ,Case-Control Studies - Abstract
International audience; AIMS: Brugada syndrome (BrS) remains genetically heterogeneous and is associated with slowed cardiac conduction. We aimed to identify genetic variation in BrS cases at loci associated with QRS duration. METHODS AND RESULTS: A multi-centre study sequenced seven candidate genes (SCN10A, HAND1, PLN, CASQ2, TKT, TBX3, and TBX5) in 156 Caucasian SCN5A mutation-negative BrS patients (80% male; mean age 48) with symptoms (64%) and/or a family history of sudden death (47%) or BrS (18%). Forty-nine variants were identified: 18 were rare (MAF \textless1%) and non-synonymous; and 11/18 (61.1%), mostly in SCN10A, were predicted as pathogenic using multiple bioinformatics tools. Allele frequencies were compared with the Exome Sequencing and UK10K Projects. SKAT methods tested rare variation in SCN10A finding no statistically significant difference between cases and controls. Co-segregation analysis was possible for four of seven probands carrying a novel pathogenic variant. Only one pedigree (I671V/G1299A in SCN10A) showed co-segregation. The SCN10A SNP V1073 was, however, associated strongly with BrS [66.9 vs. 40.1% (UK10K) OR (95% CI) = 3.02 (2.35-3.87), P = 8.07 × 10-19]. Voltage-clamp experiments for NaV1.8 were performed for SCN10A common variants V1073, A1073, and rare variants of interest: A200V and I671V. V1073, A200V and I671V, demonstrated significant reductions in peak INa compared with ancestral allele A1073 (rs6795970). CONCLUSION: Rare variants in the screened QRS-associated genes (including SCN10A) are not responsible for a significant proportion of SCN5A mutation negative BrS. The common SNP SCN10A V1073 was strongly associated with BrS and demonstrated loss of NaV1.8 function, as did rare variants in isolated patients.
- Published
- 2015
44. Evaluating the glucose raising effect of established loci via a genetic risk score
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Loukianos S. Rallidis, Eirini Marouli, George Dedoussis, Eleftheria Zeggini, Bram P. Prins, Nikolaos Tentolouris, Maria Dimitriou, Lorraine Southam, Klea Lamnissou, Fragiskos Gonidakis, Genovefa Kolovou, Sophie Hackinger, Eleni Zengini, Vassilis P. Kontaxakis, Panagiotis Deloukas, Angela Rentari, Anastasia Thanopoulou, Vasiliki Mamakou, and Stavroula Kanoni
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Blood Glucose ,Male ,0301 basic medicine ,lcsh:Medicine ,Biochemistry ,Mathematical and Statistical Techniques ,Endocrinology ,0302 clinical medicine ,Glucose Metabolism ,Medicine and Health Sciences ,Genetic risk ,lcsh:Science ,Cumulative effect ,Genetics ,Multidisciplinary ,SLC30A8 ,Organic Compounds ,Monosaccharides ,Type 2 Diabetes ,Chemistry ,Physical Sciences ,Regression Analysis ,Carbohydrate Metabolism ,Female ,Greek population ,Statistics (Mathematics) ,Research Article ,medicine.medical_specialty ,Endocrine Disorders ,G6PC2 ,Carbohydrates ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,Linear Regression Analysis ,Biology ,Research and Analysis Methods ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Diabetes mellitus ,Internal medicine ,Diabetes Mellitus ,medicine ,Humans ,Genetic Predisposition to Disease ,Statistical Methods ,Genetic association ,Organic Chemistry ,lcsh:R ,Chemical Compounds ,Biology and Life Sciences ,medicine.disease ,Glucose ,Metabolism ,030104 developmental biology ,Genetic Loci ,Metabolic Disorders ,Genetics of Disease ,biology.protein ,lcsh:Q ,Mathematics ,Genome-Wide Association Study ,Meta-Analysis - Abstract
Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) associated with glucose levels. We tested the hypothesis here whether the cumulative effect of glucose raising SNPs, assessed via a score, is associated with glucose levels. A total of 1,434 participants of Greek descent from the THISEAS study and 1,160 participants form the GOMAP study were included in this analysis. We developed a genetic risk score (GRS), based on the known glucose-raising loci, in order to investigate the cumulative effect of known glucose loci on glucose levels. In the THISEAS study, the GRS score was significantly associated with increased glucose levels (mmol/L) (β ± SE: 0.024 ± 0.004, P = 8.27e-07). The effect of the genetic risk score was also significant in the GOMAP study (β ± SE: 0.011 ± 0.005, P = 0.031). In the meta-analysis of the two studies both scores were significantly associated with higher glucose levels GRS: β ± SE: 0.019 ± 0.003, P = 1.41e-09. Also, variants at the SLC30A8, PROX1, MTNR1B, ADRA2A, G6PC2, LPIN3 loci indicated nominal evidence for association with glucose levels (p < 0.05). We replicate associations of the established glucose raising variants in the Greek population and confirm directional consistency of effects (binomial sign test p = 6.96e-05). We also demonstrate that the cumulative effect of the established glucose loci yielded a significant association with increasing glucose levels.
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- 2017
45. Beyond Genome-Wide Association Studies: New Strategies for Identifying Genetic Determinants of Hypertension
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Bram P. Prins, Xiaoling Wang, Maris Laan, Siim Sõber, Harold Snieder, and Life Course Epidemiology (LCE)
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Genome-wide association study ,Time Factors ,Genetic Linkage ,Gene prediction ,Single-nucleotide polymorphism ,030204 cardiovascular system & hematology ,Association analysis ,ENVIRONMENTAL-FACTORS ,Polymorphism, Single Nucleotide ,Methylation ,DNA sequencing ,Special Situations in the Management of Hypertension (Theodore Kotchen, Section Editor) ,DNA-METHYLATION CHANGES ,Epigenesis, Genetic ,03 medical and health sciences ,0302 clinical medicine ,Internal Medicine ,Humans ,GWAS ,Genetic Predisposition to Disease ,Epigenetics ,EPIGENETIC REGULATION ,Gene ,030304 developmental biology ,Genetic association ,Genetics ,0303 health sciences ,biology ,SINGLE-NUCLEOTIDE POLYMORPHISMS ,COMMON VARIANTS ,Post-GWAS analysis ,BLOOD-PRESSURE VARIATION ,BIRTH-WEIGHT ,United States ,microRNAs ,SALT-SENSITIVE HYPERTENSION ,Histone ,11-BETA-HYDROXYSTEROID DEHYDROGENASE TYPE-2 ,Hypertension ,biology.protein ,Next-generation sequencing ,Blood pressure ,Histone modification ,Linkage analysis ,AUTONOMIC ACTIVITY - Abstract
Genetic linkage and association methods have long been the most important tools for gene identification in humans. These approaches can either be hypothesis-based (i.e., candidate-gene studies) or hypothesis-free (i.e., genome-wide studies). The first part of this review offers an overview of the latest successes in gene finding for blood pressure (BP) and essential hypertension using these DNA sequence-based discovery techniques. We further emphasize the importance of post-genome-wide association study (post-GWAS) analysis, which aims to prioritize genetic variants for functional follow-up. Whole-genome next-generation sequencing will eventually be necessary to provide a more comprehensive picture of all DNA variants affecting BP and hypertension. The second part of this review discusses promising novel approaches that move beyond the DNA sequence and aim to discover BP genes that are differentially regulated by epigenetic mechanisms, including microRNAs, histone modification, and methylation.
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- 2011
46. Poor replication of candidate genes for major depressive disorder using genome-wide association data
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T. van Veen, Bram P. Prins, Peter Terpstra, Fokko J. Bosker, Roel H. DeRijk, E.J.C. de Geus, Patrick F. Sullivan, Brenda W.J.H. Penninx, Willem A. Nolen, Catharina A. Hartman, Witte J.G. Hoogendijk, Dorret I. Boomsma, Ilja M. Nolte, Danielle Posthuma, Harold Snieder, Gonneke Willemsen, Psychiatry, NCA - Anxiety & Depression, EMGO - Mental health, Functional Genomics, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, EMGO+ - Mental Health, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Life Course Epidemiology (LCE)
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Netherlands Twin Register (NTR) ,Candidate gene ,Genome-wide association study ,KOREAN POPULATION ,Linkage Disequilibrium ,FUNCTIONAL POLYMORPHISM ,Gene Frequency ,single-nucleotide polymorphisms ,Odds Ratio ,Neuropeptide Y ,INCREASED RISK ,Genetics ,ALZHEIMERS-DISEASE ,Psychiatry and Mental health ,Major depressive disorder ,candidate genes ,PubMed ,replication ,MOOD DISORDERS ,Genotype ,Nerve Tissue Proteins ,Single-nucleotide polymorphism ,Peptidyl-Dipeptidase A ,Biology ,Polymorphism, Single Nucleotide ,PROMOTER POLYMORPHISM ,Genetic determinism ,Cellular and Molecular Neuroscience ,ANTIDEPRESSANT TREATMENT ,GLUCOCORTICOID-RECEPTOR GENE ,SDG 3 - Good Health and Well-being ,Replication (statistics) ,mental disorders ,medicine ,Humans ,Genetic Predisposition to Disease ,ALPHA-GENE ,Molecular Biology ,SEROTONIN TRANSPORTER GENE ,Depressive Disorder, Major ,Norepinephrine Plasma Membrane Transport Proteins ,genome-wide association study ,major depressive disorder ,Tumor Necrosis Factor-alpha ,Computational Biology ,medicine.disease ,Increased risk ,Mood disorders - Abstract
Data from the Genetic Association Information Network ( GAIN) genome-wide association study (GWAS) in major depressive disorder (MDD) were used to explore previously reported candidate gene and single-nucleotide polymorphism (SNP) associations in MDD. A systematic literature search of candidate genes associated with MDD in case-control studies was performed before the results of the GAIN MDD study became available. Measured and imputed candidate SNPs and genes were tested in the GAIN MDD study encompassing 1738 cases and 1802 controls. Imputation was used to increase the number of SNPs from the GWAS and to improve coverage of SNPs in the candidate genes selected. Tests were carried out for individual SNPs and the entire gene using different statistical approaches, with permutation analysis as the final arbiter. In all, 78 papers reporting on 57 genes were identified, from which 92 SNPs could be mapped. In the GAIN MDD study, two SNPs were associated with MDD: C5orf20 (rs12520799; P = 0.038; odds ratio (OR) AT = 1.10, 95% CI 0.95-1.29; OR TT = 1.21, 95% confidence interval (CI) 1.01-1.47) and NPY (rs16139; P = 0.034; OR C allele = 0.73, 95% CI 0.55-0.97), constituting a direct replication of previously identified SNPs. At the gene level, TNF (rs76917; OR T = 1.35, 95% CI 1.13-1.63; P = 0.0034) was identified as the only gene for which the association with MDD remained significant after correction for multiple testing. For SLC6A2 (norepinephrine transporter (NET)) significantly more SNPs (19 out of 100; P = 0.039) than expected were associated while accounting for the linkage disequilibrium (LD) structure. Thus, we found support for involvement in MDD for only four genes. However, given the number of candidate SNPs and genes that were tested, even these significant may well be false positives. The poor replication may point to publication bias and false-positive findings in previous candidate gene studies, and may also be related to heterogeneity of the MDD phenotype as well as contextual genetic or environmental factors. Molecular Psychiatry (2011) 16, 516-532; doi: 10.1038/mp.2010.38; published online 30 March 2010
- Published
- 2011
47. QCGWAS: A flexible R package for automated quality control of genome-wide association results
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M. Loretto Munoz, Behrooz Z. Alizadeh, Ahmad Vaez, Harold Snieder, Peter J. van der Most, Bram P. Prins, Ilja M. Nolte, Life Course Epidemiology (LCE), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
- Subjects
Quality Control ,Statistics and Probability ,Computer science ,Association (object-oriented programming) ,media_common.quotation_subject ,Control (management) ,Qaulity Control ,Genome-wide association study ,computer.software_genre ,Biochemistry ,Genome-Wide Assocation Study ,Humans ,GWAS ,Quality (business) ,Molecular Biology ,Genetic association ,media_common ,Database ,Computational Biology ,Computer Science Applications ,Computational Mathematics ,R package ,META ANALYSIS ,Computational Theory and Mathematics ,Data mining ,computer ,Software ,Genome-Wide Association Study - Abstract
Summary: QCGWAS is an R package that automates the quality control of genome-wide association result files. Its main purpose is to facilitate the quality control of a large number of such files before meta-analysis. Alternatively, it can be used by individual cohorts to check their own result files. QCGWAS is flexible and has a wide range of options, allowing rapid generation of high-quality input files for meta-analysis of genome-wide association studies. Availability: http://cran.r-project.org/web/packages/QCGWAS Contact: i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.
- Published
- 2014
48. Restoring E-cadherin-mediated cell-cell adhesion increases PTEN protein level and stability in human breast carcinoma cells
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Hongbo Zhao, Bram P. Prins, Xiliang Zha, Yi Fu, Yali Hu, Zengxia Li, Wen Zhang, and Liying Wang
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biology ,Cell growth ,Cadherin ,Cell ,Phosphatase ,Biophysics ,PTEN Phosphohydrolase ,Breast Neoplasms ,Cell Biology ,Cadherins ,Biochemistry ,Cell biology ,medicine.anatomical_structure ,Cell culture ,Cell Line, Tumor ,Enzyme Stability ,medicine ,biology.protein ,Cancer research ,Cell Adhesion ,PTEN ,Tensin ,Humans ,Cell adhesion ,Molecular Biology - Abstract
The phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a well-characterized tumor suppressor that negatively regulates cell growth and survival. Despite the critical role of PTEN in cell signaling, the mechanisms of its regulation are still under investigation. We reported here that PTEN expression could be controlled by overexpression or knock-down of E-cadherin in several mammary carcinoma cell lines. Furthermore, we showed that the accumulation of PTEN protein in E-cadherin overexpressing cells was due to increased PTEN protein stability rather than the regulation of its transcription. The proteasome-dependent PTEN degradation pathway was impaired after restoring E-cadherin expression. Moreover, maintenance of E-cadherin mediated cell-cell adhesion was necessary for its regulating PTEN. Altogether, our results suggested that E-cadherin mediated cell-cell adhesion was essential for preventing the proteasome degradation of PTEN, which might explain how breast carcinoma cells which lost cell-cell contact proliferate rapidly and are prone to metastasis.
- Published
- 2007
49. Discovery and Fine Mapping of Serum Protein Loci through Transethnic Meta-analysis
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Bruce M. Psaty, Christine Schwienbacher, Jens Baumert, Philipp S. Wild, Jeanette S. Andrews, M. Fabiola Del Greco, Atsushi Takahashi, Eric Boerwinkle, Veronique Vitart, Guo Li, Christa Meisinger, Peter Vollenweider, Laura R. Loehr, Linda Broer, James F. Wilson, Ingrid B. Borecki, Mahir Karakas, Aldi T. Kraja, Caroline S. Fox, Oscar H. Franco, Yongmei Liu, Igor Rudan, L. Adrienne Cupples, John H. Eckfeldt, Andreas Ziegler, Nora Franceschini, Vesela Torlak, Alan F. Wright, Yusuke Nakamura, Christopher J. O'Donnell, Kari E. North, Julius S. Ngwa, Mary F. Feitosa, Ahmad Vaez, Qingyu Wu, Albert Hofman, Peter P. Pramstaller, Ozren Polasek, Alexander P. Reiner, Jeffrey B. Kopp, Ido P. Kema, Arne Schillert, Jerome I. Rotter, Murielle Bochud, Andrew A. Hicks, Yukinori Okada, John R. B. Perry, Tamara B. Harris, Qunyuan Zhang, Ying A. Wang, Jingzhong Ding, Nancy S. Jenny, Timothy M. Frayling, Harold Snieder, Gérard Waeber, Mladen Boban, John M. Starr, Behrooz Z. Alizadeh, Lina Zgaga, Michiaki Kubo, Stefania Bandinelli, Aaron R. Folsom, Harm-Jan Westra, Mirna Kirin, Abbas Dehghan, Melanie Waldenberger, Wolfgang Koenig, Karl J. Lackner, Angela Doering, Lorna M. Lopez, Cornelia M. van Duijn, Bram P. Prins, Tatijana Zemunik, Caroline Hayward, Jacqueline C.M. Witteman, Grog Gunjaca, Karen Kapur, Harry Campbell, Ian J. Deary, Sven Bergmann, Frank J. A. van Rooij, Cheryl A. Winkler, Lude Franke, Stefan Blankenberg, Ivana Kolcic, Lenore J. Launer, Tanja Zeller, Luigi Ferrucci, Y. D. Chen, Christian Gieger, Vesna Boraska, Janine F. Felix, J. Peter Durda, Gail Davies, Bruce H. R. Wolffenbuttel, Fang-Chi Hsu, Albert V. Smith, Toshihiro Tanaka, Nicole L. Glazer, André G. Uitterlinden, Andrew P. Morris, Faculteit Medische Wetenschappen/UMCG, Guided Treatment in Optimal Selected Cancer Patients (GUTS), Lifestyle Medicine (LM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology, Erasmus School of Social and Behavioural Sciences, Internal Medicine, and LifeLines Cohort Study
- Subjects
Male ,Linkage disequilibrium ,Genome-wide association study ,DETERMINANTS ,Linkage Disequilibrium ,Mice ,Genetics(clinical) ,POPULATION ,Genetics (clinical) ,SNPS ,RISK ,Genetics ,education.field_of_study ,biology ,Chromosome Mapping ,Blood Proteins ,IDENTIFY ,Middle Aged ,Female ,Adult ,Population ,Serum albumin ,serum protein ,albumin ,GWAS ,Single-nucleotide polymorphism ,Locus (genetics) ,ALBUMIN ,White People ,Asian People ,Gene mapping ,SDG 3 - Good Health and Well-being ,Report ,BIOCHEMICAL TRAITS ,FC-RECEPTOR ,Animals ,Humans ,Genetic Predisposition to Disease ,SMOKING-BEHAVIOR ,ddc:610 ,GENOME-WIDE ASSOCIATION ,education ,Alleles ,Serum Albumin ,Aged ,Genetic association ,Genetic Loci ,Protein Biosynthesis ,Proteolysis ,biology.protein ,Ribosomes ,Genome-Wide Association Study - Abstract
Many disorders are associated with altered serum protein concentrations, including malnutrition, cancer, and cardiovascular, kidney, and inflammatory diseases. Although these protein concentrations are highly heritable, relatively little is known about their underlying genetic determinants. Through transethnic meta-analysis of European-ancestry and Japanese genome-wide association studies, we identified six loci at genome-wide significance (p −8 ) for serum albumin ( HPN-SCN1B , GCKR-FNDC4 , SERPINF2-WDR81 , TNFRSF11A-ZCCHC2 , FRMD5-WDR76 , and RPS11-FCGRT , in up to 53,190 European-ancestry and 9,380 Japanese individuals) and three loci for total protein ( TNFRS13B , 6q21.3, and ELL2 , in up to 25,539 European-ancestry and 10,168 Japanese individuals). We observed little evidence of heterogeneity in allelic effects at these loci between groups of European and Japanese ancestry but obtained substantial improvements in the resolution of fine mapping of potential causal variants by leveraging transethnic differences in the distribution of linkage disequilibrium. We demonstrated a functional role for the most strongly associated serum albumin locus, HPN , for which Hpn knockout mice manifest low plasma albumin concentrations. Other loci associated with serum albumin harbor genes related to ribosome function, protein translation, and proteasomal degradation, whereas those associated with serum total protein include genes related to immune function. Our results highlight the advantages of transethnic meta-analysis for the discovery and fine mapping of complex trait loci and have provided initial insights into the underlying genetic architecture of serum protein concentrations and their association with human disease.
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50. Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes: A Large-Scale Cross-Consortium Mendelian Randomization Study.
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Bram P Prins, Ali Abbasi, Anson Wong, Ahmad Vaez, Ilja Nolte, Nora Franceschini, Philip E Stuart, Javier Guterriez Achury, Vanisha Mistry, Jonathan P Bradfield, Ana M Valdes, Jose Bras, Aleksey Shatunov, PAGE Consortium, International Stroke Genetics Consortium, Systemic Sclerosis consortium, Treat OA consortium, DIAGRAM Consortium, CARDIoGRAMplusC4D Consortium, ALS consortium, International Parkinson’s Disease Genomics Consortium, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, CKDGen consortium, GERAD1 Consortium, International Consortium for Blood Pressure, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Inflammation Working Group of the CHARGE Consortium, Chen Lu, Buhm Han, Soumya Raychaudhuri, Steve Bevan, Maureen D Mayes, Lam C Tsoi, Evangelos Evangelou, Rajan P Nair, Struan F A Grant, Constantin Polychronakos, Timothy R D Radstake, David A van Heel, Melanie L Dunstan, Nicholas W Wood, Ammar Al-Chalabi, Abbas Dehghan, Hakon Hakonarson, Hugh S Markus, James T Elder, Jo Knight, Dan E Arking, Timothy D Spector, Bobby P C Koeleman, Cornelia M van Duijn, Javier Martin, Andrew P Morris, Rinse K Weersma, Cisca Wijmenga, Patricia B Munroe, John R B Perry, Jennie G Pouget, Yalda Jamshidi, Harold Snieder, and Behrooz Z Alizadeh
- Subjects
Medicine - Abstract
BackgroundC-reactive protein (CRP) is associated with immune, cardiometabolic, and psychiatric traits and diseases. Yet it is inconclusive whether these associations are causal.Methods and findingsWe performed Mendelian randomization (MR) analyses using two genetic risk scores (GRSs) as instrumental variables (IVs). The first GRS consisted of four single nucleotide polymorphisms (SNPs) in the CRP gene (GRSCRP), and the second consisted of 18 SNPs that were significantly associated with CRP levels in the largest genome-wide association study (GWAS) to date (GRSGWAS). To optimize power, we used summary statistics from GWAS consortia and tested the association of these two GRSs with 32 complex somatic and psychiatric outcomes, with up to 123,865 participants per outcome from populations of European ancestry. We performed heterogeneity tests to disentangle the pleiotropic effect of IVs. A Bonferroni-corrected significance level of less than 0.0016 was considered statistically significant. An observed p-value equal to or less than 0.05 was considered nominally significant evidence for a potential causal association, yet to be confirmed. The strengths (F-statistics) of the IVs were 31.92-3,761.29 and 82.32-9,403.21 for GRSCRP and GRSGWAS, respectively. CRP GRSGWAS showed a statistically significant protective relationship of a 10% genetically elevated CRP level with the risk of schizophrenia (odds ratio [OR] 0.86 [95% CI 0.79-0.94]; p < 0.001). We validated this finding with individual-level genotype data from the schizophrenia GWAS (OR 0.96 [95% CI 0.94-0.98]; p < 1.72 × 10-6). Further, we found that a standardized CRP polygenic risk score (CRPPRS) at p-value thresholds of 1 × 10-4, 0.001, 0.01, 0.05, and 0.1 using individual-level data also showed a protective effect (OR < 1.00) against schizophrenia; the first CRPPRS (built of SNPs with p < 1 × 10-4) showed a statistically significant (p < 2.45 × 10-4) protective effect with an OR of 0.97 (95% CI 0.95-0.99). The CRP GRSGWAS showed that a 10% increase in genetically determined CRP level was significantly associated with coronary artery disease (OR 0.88 [95% CI 0.84-0.94]; p < 2.4 × 10-5) and was nominally associated with the risk of inflammatory bowel disease (OR 0.85 [95% CI 0.74-0.98]; p < 0.03), Crohn disease (OR 0.81 [95% CI 0.70-0.94]; p < 0.005), psoriatic arthritis (OR 1.36 [95% CI 1.00-1.84]; p < 0.049), knee osteoarthritis (OR 1.17 [95% CI 1.01-1.36]; p < 0.04), and bipolar disorder (OR 1.21 [95% CI 1.05-1.40]; p < 0.007) and with an increase of 0.72 (95% CI 0.11-1.34; p < 0.02) mm Hg in systolic blood pressure, 0.45 (95% CI 0.06-0.84; p < 0.02) mm Hg in diastolic blood pressure, 0.01 ml/min/1.73 m2 (95% CI 0.003-0.02; p < 0.005) in estimated glomerular filtration rate from serum creatinine, 0.01 g/dl (95% CI 0.0004-0.02; p < 0.04) in serum albumin level, and 0.03 g/dl (95% CI 0.008-0.05; p < 0.009) in serum protein level. However, after adjustment for heterogeneity, neither GRS showed a significant effect of CRP level (at p < 0.0016) on any of these outcomes, including coronary artery disease, nor on the other 20 complex outcomes studied. Our study has two potential limitations: the limited variance explained by our genetic instruments modeling CRP levels in blood and the unobserved bias introduced by the use of summary statistics in our MR analyses.ConclusionsGenetically elevated CRP levels showed a significant potentially protective causal relationship with risk of schizophrenia. We observed nominal evidence at an observed p < 0.05 using either GRSCRP or GRSGWAS-with persistence after correction for heterogeneity-for a causal relationship of elevated CRP levels with psoriatic osteoarthritis, rheumatoid arthritis, knee osteoarthritis, systolic blood pressure, diastolic blood pressure, serum albumin, and bipolar disorder. These associations remain yet to be confirmed. We cannot verify any causal effect of CRP level on any of the other common somatic and neuropsychiatric outcomes investigated in the present study. This implies that interventions that lower CRP level are unlikely to result in decreased risk for the majority of common complex outcomes.
- Published
- 2016
- Full Text
- View/download PDF
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