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Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention

Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela M. Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R Webb, Martin K. Rutter, Ioanna Tzoulaki, Riyaz S. Patel, Ruth J.F. Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas, Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh, Nilesh J. Samani, for The UK Biobank CardioMetabolic Consortium CHD Working Group
doi: https://doi.org/10.1101/250712
Michael Inouye
1Systems Genomics Lab, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne 3004, Victoria, Australia
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
3Department of Clinical Pathology and School of BioSciences, University of Melbourne, Parkville 3010, Victoria, Australia
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  • For correspondence: minouye@baker.edu.au gad.abraham@baker.edu.au njs@leicester.ac.uk
Gad Abraham
1Systems Genomics Lab, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne 3004, Victoria, Australia
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
3Department of Clinical Pathology and School of BioSciences, University of Melbourne, Parkville 3010, Victoria, Australia
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  • For correspondence: minouye@baker.edu.au gad.abraham@baker.edu.au njs@leicester.ac.uk
Christopher P. Nelson
4Department of Cardiovascular Sciences and NIHR Leicester Biomedical Centre, University of Leicester, United Kingdom
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Angela M. Wood
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
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Michael J. Sweeting
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
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Frank Dudbridge
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
5Department of Health Sciences, University of Leicester, Leicester, United Kingdom
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Florence Y. Lai
4Department of Cardiovascular Sciences and NIHR Leicester Biomedical Centre, University of Leicester, United Kingdom
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Stephen Kaptoge
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
6National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge, United Kingdom
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Marta Brozynska
1Systems Genomics Lab, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne 3004, Victoria, Australia
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
3Department of Clinical Pathology and School of BioSciences, University of Melbourne, Parkville 3010, Victoria, Australia
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Tingting Wang
1Systems Genomics Lab, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne 3004, Victoria, Australia
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Shu Ye
4Department of Cardiovascular Sciences and NIHR Leicester Biomedical Centre, University of Leicester, United Kingdom
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Thomas R Webb
4Department of Cardiovascular Sciences and NIHR Leicester Biomedical Centre, University of Leicester, United Kingdom
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Martin K. Rutter
7Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
8Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
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Ioanna Tzoulaki
9Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, United Kingdom
10Department of Hygiene and Epidemiology, University of Ioannina, 45110, Ioannina, Greece
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Riyaz S. Patel
11Institute of Cardiovascular Sciences, University College London, London, United Kingdom
12Barts Heart Centre, St Bartholomew’s Hospital, London, United Kingdom
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Ruth J.F. Loos
13Charles Bronfman Institute for Personalized Medicine, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Bernard Keavney
14Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
15Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
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Harry Hemingway
16The Farr Institute of Health Informatics Research and the National Institute for Health Research, Biomedical Research Centre, University College London, London, United Kingdom
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John Thompson
5Department of Health Sciences, University of Leicester, Leicester, United Kingdom
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Hugh Watkins
17Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, United Kingdom
18The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
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Panos Deloukas
19William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, United Kingdom
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Emanuele Di Angelantonio
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
6National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge, United Kingdom
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Adam S. Butterworth
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
6National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge, United Kingdom
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John Danesh
2MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
6National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge, United Kingdom
20Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom
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Nilesh J. Samani
4Department of Cardiovascular Sciences and NIHR Leicester Biomedical Centre, University of Leicester, United Kingdom
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  • For correspondence: minouye@baker.edu.au gad.abraham@baker.edu.au njs@leicester.ac.uk
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Abstract

Background Coronary artery disease (CAD) has substantial heritability and a polygenic architecture; however, genomic risk scores have not yet leveraged the totality of genetic information available nor been externally tested at population-scale to show potential utility in primary prevention.

Methods Using a meta-analytic approach to combine large-scale genome-wide and targeted genetic association data, we developed a new genomic risk score for CAD (metaGRS), consisting of 1.7 million genetic variants. We externally tested metaGRS, individually and in combination with available conventional risk factors, in 22,242 CAD cases and 460,387 non-cases from UK Biobank.

Findings In UK Biobank, a standard deviation increase in metaGRS had a hazard ratio (HR) of 1.71 (95% CI 1.68–1.73) for CAD, greater than any other externally tested genetic risk score. Individuals in the top 20% of the metaGRS distribution had a HR of 4.17 (95% CI 3.97–4.38) compared with those in the bottom 20%. The metaGRS had higher C-index (C=0.623, 95% CI 0.615–0.631) for incident CAD than any of four conventional factors (smoking, diabetes, hypertension, and body mass index), and addition of the metaGRS to a model of conventional risk factors increased C-index by 3.7%. In individuals on lipid-lowering or anti-hypertensive medications at recruitment, metaGRS hazard for incident CAD was significantly but only partially attenuated with HR of 2.83 (95% CI 2.61– 3.07) between the top and bottom 20% of the metaGRS distribution.

Interpretation Recent genetic association studies have yielded enough information to meaningfully stratify individuals using the metaGRS for CAD risk in both early and later life, thus enabling targeted primary intervention in combination with conventional risk factors. The metaGRS effect was partially attenuated by lipid and blood pressure-lowering medication, however other prevention strategies will be required to fully benefit from earlier genomic risk stratification.

Funding National Health and Medical Research Council of Australia, British Heart Foundation, Australian Heart Foundation.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 19, 2018.
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Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention
Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela M. Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R Webb, Martin K. Rutter, Ioanna Tzoulaki, Riyaz S. Patel, Ruth J.F. Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas, Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh, Nilesh J. Samani, for The UK Biobank CardioMetabolic Consortium CHD Working Group
bioRxiv 250712; doi: https://doi.org/10.1101/250712
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Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention
Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela M. Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R Webb, Martin K. Rutter, Ioanna Tzoulaki, Riyaz S. Patel, Ruth J.F. Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas, Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh, Nilesh J. Samani, for The UK Biobank CardioMetabolic Consortium CHD Working Group
bioRxiv 250712; doi: https://doi.org/10.1101/250712

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