Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Sep;49(9):1385-1391.
doi: 10.1038/ng.3913. Epub 2017 Jul 17.

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

Christopher P Nelson  1   2 Anuj Goel  3   4 Adam S Butterworth  5   6 Stavroula Kanoni  7   8 Tom R Webb  1   2 Eirini Marouli  7   8 Lingyao Zeng  9 Ioanna Ntalla  7   8 Florence Y Lai  1   2 Jemma C Hopewell  10 Olga Giannakopoulou  7   8 Tao Jiang  5 Stephen E Hamby  1   2 Emanuele Di Angelantonio  5   6 Themistocles L Assimes  11 Erwin P Bottinger  12 John C Chambers  13   14   15 Robert Clarke  10 Colin N A Palmer  16   17 Richard M Cubbon  18 Patrick Ellinor  19 Raili Ermel  20 Evangelos Evangelou  13   21 Paul W Franks  22   23   24 Christopher Grace  3   4 Dongfeng Gu  25 Aroon D Hingorani  26 Joanna M M Howson  5 Erik Ingelsson  27 Adnan Kastrati  9 Thorsten Kessler  9 Theodosios Kyriakou  3   4 Terho Lehtimäki  28 Xiangfeng Lu  27 Yingchang Lu  12   29 Winfried März  30   31   32 Ruth McPherson  33 Andres Metspalu  34 Mar Pujades-Rodriguez  35 Arno Ruusalepp  20   36 Eric E Schadt  37 Amand F Schmidt  26 Michael J Sweeting  5 Pierre A Zalloua  38   39 Kamal AlGhalayini  40 Bernard D Keavney  41   42 Jaspal S Kooner  14   15   43 Ruth J F Loos  12   44 Riyaz S Patel  45   46 Martin K Rutter  47   48 Maciej Tomaszewski  42   49 Ioanna Tzoulaki  13   21 Eleftheria Zeggini  50 Jeanette Erdmann  51   52   53 George Dedoussis  54 Johan L M Björkegren  36   37   55 EPIC-CVD ConsortiumCARDIoGRAMplusC4DUK Biobank CardioMetabolic Consortium CHD working groupHeribert Schunkert  9 Martin Farrall  3   4 John Danesh  5   6   56 Nilesh J Samani  1   2 Hugh Watkins  3   4 Panos Deloukas  7   8   57
Affiliations
Free article

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

Christopher P Nelson et al. Nat Genet. 2017 Sep.
Free article

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; ncases = 10,801) as well as a stricter definition without angina (HARD; ncases = 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.

PubMed Disclaimer

Similar articles

  • Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.
    Dichgans M, Malik R, König IR, Rosand J, Clarke R, Gretarsdottir S, Thorleifsson G, Mitchell BD, Assimes TL, Levi C, O'Donnell CJ, Fornage M, Thorsteinsdottir U, Psaty BM, Hengstenberg C, Seshadri S, Erdmann J, Bis JC, Peters A, Boncoraglio GB, März W, Meschia JF, Kathiresan S, Ikram MA, McPherson R, Stefansson K, Sudlow C, Reilly MP, Thompson JR, Sharma P, Hopewell JC, Chambers JC, Watkins H, Rothwell PM, Roberts R, Markus HS, Samani NJ, Farrall M, Schunkert H; METASTROKE Consortium; CARDIoGRAM Consortium; C4D Consortium; International Stroke Genetics Consortium. Dichgans M, et al. Stroke. 2014 Jan;45(1):24-36. doi: 10.1161/STROKEAHA.113.002707. Epub 2013 Nov 21. Stroke. 2014. PMID: 24262325 Free PMC article. Review.
  • Large-scale association analysis identifies new risk loci for coronary artery disease.
    CARDIoGRAMplusC4D Consortium; Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR, Ingelsson E, Saleheen D, Erdmann J, Goldstein BA, Stirrups K, König IR, Cazier JB, Johansson A, Hall AS, Lee JY, Willer CJ, Chambers JC, Esko T, Folkersen L, Goel A, Grundberg E, Havulinna AS, Ho WK, Hopewell JC, Eriksson N, Kleber ME, Kristiansson K, Lundmark P, Lyytikäinen LP, Rafelt S, Shungin D, Strawbridge RJ, Thorleifsson G, Tikkanen E, Van Zuydam N, Voight BF, Waite LL, Zhang W, Ziegler A, Absher D, Altshuler D, Balmforth AJ, Barroso I, Braund PS, Burgdorf C, Claudi-Boehm S, Cox D, Dimitriou M, Do R; DIAGRAM Consortium; CARDIOGENICS Consortium; Doney AS, El Mokhtari N, Eriksson P, Fischer K, Fontanillas P, Franco-Cereceda A, Gigante B, Groop L, Gustafsson S, Hager J, Hallmans G, Han BG, Hunt SE, Kang HM, Illig T, Kessler T, Knowles JW, Kolovou G, Kuusisto J, Langenberg C, Langford C, Leander K, Lokki ML, Lundmark A, McCarthy MI, Meisinger C, Melander O, Mihailov E, Maouche S, Morris AD, Müller-Nurasyid M; MuTHER Consortium; Nikus K, Peden JF, Rayner NW, Rasheed A, Rosinger S, Rubin D, Rumpf MP, Schäfer A, Sivananthan M, Song C, Stewart AF, Tan ST, Thorgeirsson G, van der Sc… See abstract for full author list ➔ CARDIoGRAMplusC4D Consortium, et al. Nat Genet. 2013 Jan;45(1):25-33. doi: 10.1038/ng.2480. Epub 2012 Dec 2. Nat Genet. 2013. PMID: 23202125 Free PMC article.
  • In silico genome-wide gene-based association analysis reveals new genes predisposing to coronary artery disease.
    Zorkoltseva I, Shadrina A, Belonogova N, Kirichenko A, Tsepilov Y, Axenovich T. Zorkoltseva I, et al. Clin Genet. 2022 Jan;101(1):78-86. doi: 10.1111/cge.14073. Epub 2021 Nov 1. Clin Genet. 2022. PMID: 34687547
  • A genome-wide association study of a coronary artery disease risk variant.
    Lee JY, Lee BS, Shin DJ, Woo Park K, Shin YA, Joong Kim K, Heo L, Young Lee J, Kyoung Kim Y, Jin Kim Y, Bum Hong C, Lee SH, Yoon D, Jung Ku H, Oh IY, Kim BJ, Lee J, Park SJ, Kim J, Kawk HK, Lee JE, Park HK, Lee JE, Nam HY, Park HY, Shin C, Yokota M, Asano H, Nakatochi M, Matsubara T, Kitajima H, Yamamoto K, Kim HL, Han BG, Cho MC, Jang Y, Kim HS, Euy Park J, Lee JY. Lee JY, et al. J Hum Genet. 2013 Mar;58(3):120-6. doi: 10.1038/jhg.2012.124. Epub 2013 Jan 31. J Hum Genet. 2013. PMID: 23364394
  • Genome-wide significant loci: how important are they? Systems genetics to understand heritability of coronary artery disease and other common complex disorders.
    Björkegren JLM, Kovacic JC, Dudley JT, Schadt EE. Björkegren JLM, et al. J Am Coll Cardiol. 2015 Mar 3;65(8):830-845. doi: 10.1016/j.jacc.2014.12.033. J Am Coll Cardiol. 2015. PMID: 25720628 Free PMC article. Review.

Cited by

References

    1. Nat Genet. 2016 Sep;48(9):980-3 - PubMed
    1. Nat Commun. 2015 Jan 19;6:5890 - PubMed
    1. Eur J Epidemiol. 2007;22(2):129-41 - PubMed
    1. Bioinformatics. 2016 Oct 15;32(20):3207-3209 - PubMed
    1. Nucleic Acids Res. 2012 Jan;40(Database issue):D930-4 - PubMed

MeSH terms