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Association analyses based on false discovery rate implicate new loci for coronary artery disease

  • Christopher P. Nelson
  • , Anuj Goel
  • , Adam S. Butterworth
  • , Stavroula Kanoni
  • , Tom R. Webb
  • , Eirini Marouli
  • , Lingyao Zeng
  • , Ioanna Ntalla
  • , Florence Y. Lai
  • , Jemma C. Hopewell
  • , Olga Giannakopoulou
  • , Tao Jiang
  • , Stephen E. Hamby
  • , Emanuele Di Angelantonio
  • , Themistocles L. Assimes
  • , Erwin P. Bottinger
  • , John C. Chambers
  • , Robert Clarke
  • , Colin N.A. Palmer
  • , Richard M. Cubbon
  • Patrick Ellinor, Raili Ermel, Evangelos Evangelou, Paul W. Franks, Christopher Grace, Dongfeng Gu, Aroon D. Hingorani, Joanna M.M. Howson, Erik Ingelsson, Adnan Kastrati, Thorsten Kessler, Theodosios Kyriakou, Terho Lehtimäki, Xiangfeng Lu, Yingchang Lu, Winfried März, Ruth McPherson, Andres Metspalu, Mar Pujades-Rodriguez, Arno Ruusalepp, Eric E. Schadt, Amand F. Schmidt, Michael J. Sweeting, Pierre A. Zalloua, Kamal Alghalayini, Bernard D. Keavney, Jaspal S. Kooner, Ruth J.F. Loos, Riyaz S. Patel, Martin K. Rutter, Maciej Tomaszewski, Ioanna Tzoulaki, Eleftheria Zeggini, Jeanette Erdmann, George Dedoussis, Johan L.M. Björkegren, Heribert Schunkert, Martin Farrall, John Danesh, Nilesh J. Samani, Hugh Watkins, Panos Deloukas
  • University of Leicester
  • National Institute for Health Research
  • University of Oxford Medical Sciences Division
  • University of Oxford
  • University of Cambridge
  • Barts and The London School of Medicine and Dentistry
  • Queen Mary University of London
  • Deutsches Herzzentrum München
  • Stanford School of Medicine
  • Icahn School of Medicine at Mount Sinai
  • Imperial College London
  • Ealing Hospital
  • Imperial College NHS Trust
  • University of Dundee
  • University of Leeds, School of Medicine
  • Massachusetts Institute of Technology
  • Tartu University Hospital and Institute of Clinical Medicine
  • University of Ioannina Medical School
  • Lund University Diabetes Centre
  • Harvard T.H. Chan School of Public Health
  • Umea University
  • Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
  • University College London
  • Tampere University
  • Vanderbilt-Ingram Cancer Center
  • Medical University of Graz
  • University of Heidelberg
  • Synlab Academy
  • University of Ottawa Heart Institute
  • University of Tartu
  • University of Leeds
  • Clinical Gene Networks AB
  • King Abdulaziz University
  • University of Manchester
  • Central Manchester University Hospitals NHS Foundation Trust
  • National Heart and Lung Institute
  • St Bartholomew's Hospital
  • Wellcome Trust Sanger Institute
  • University of Lübeck
  • Partner Site Hamburg/Kiel/Lübeck
  • University Heart Center Lübeck
  • Harokopio University of Athens
  • Huddinge Hospital
  • Wellcome Trust

Research output: Contribution to journalArticlepeer-review

532 Scopus citations

Abstract

Genome-wide association studies (GWAS) in coronary artery disease (CAD) had identified 66 loci at 'genome-wide significance' (P < 5 × 10 '8) at the time of this analysis, but a much larger number of putative loci at a false discovery rate (FDR) of 5% (refs. 1,2,3,4). Here we leverage an interim release of UK Biobank (UKBB) data to evaluate the validity of the FDR approach. We tested a CAD phenotype inclusive of angina (SOFT; n cases = 10,801) as well as a stricter definition without angina (HARD; n cases = 6,482) and selected cases with the former phenotype to conduct a meta-analysis using the two most recent CAD GWAS. This approach identified 13 new loci at genome-wide significance, 12 of which were on our previous list of loci meeting the 5% FDR threshold, thus providing strong support that the remaining loci identified by FDR represent genuine signals. The 304 independent variants associated at 5% FDR in this study explain 21.2% of CAD heritability and identify 243 loci that implicate pathways in blood vessel morphogenesis as well as lipid metabolism, nitric oxide signaling and inflammation.

Original languageBritish English
Pages (from-to)1385-1391
Number of pages7
JournalNature Genetics
Volume49
Issue number9
DOIs
StatePublished - 1 Sep 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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