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

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posted on 2017-11-02, 13:31 authored by Christopher P. Nelson, A Goel, AS Butterworth, S Kanoni, Tom R. Webb, E Marouli, L Zeng, I Ntalla, Florence Y. Lai, JC Hopewell, O Giannakopoulou, T Jiang, Stephen E. Hamby, E Di Angelantonio, TL Assimes, EP Bottinger, JC Chambers, R Clarke, CNA Palmer, RM Cubbon, P Ellinor, R Ermel, E Evangelou, PW Franks, C Grace, D Gu, AD Hingorani, JMM Howson, E Ingelsson, A Kastrati, T Kessler, T Kyriakou, T Lehtimäki, X Lu, Y Lu, W März, R McPherson, A Metspalu, M Pujades-Rodriguez, A Ruusalepp, EE Schadt, AF Schmidt, MJ Sweeting, PA Zalloua, K AlGhalayini, BD Keavney, JS Kooner, RJF Loos, RS Patel, MK Rutter, M Tomaszewski, I Tzoulaki, E Zeggini, J Erdmann, G Dedoussis, JLM Björkegren, EPIC-CVD Consortium, CARDIoGRAMplusC4D, UK Biobank CardioMetabolic Consortium CHD working group, H Schunkert, M Farrall, J Danesh, Nilesh J. Samani, H Watkins, P Deloukas
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.

History

Citation

Nature Genetics, 2017, 49 (9), pp. 1385-1391

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Cardiovascular Sciences

Version

  • AM (Accepted Manuscript)

Published in

Nature Genetics

Publisher

Nature Publishing Group

issn

1061-4036

eissn

1546-1718

Acceptance date

2017-06-15

Copyright date

2017

Available date

2018-01-17

Publisher version

http://www.nature.com/articles/ng.3913

Notes

The file associated with this record is under embargo until 6 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en