Impact of cardiovascular health and genetic risk on coronary artery disease in Chinese adults

Objective To examine whether adherence to ideal cardiovascular health (CVH) can mitigate the genetic risk of coronary artery disease (CAD) in non-European populations. Methods Fine and Grey’s models were used to calculate HRs and their corresponding 95% CIs, as well as the lifetime risk of CVH metrics across Polygenic Risk Score (PRS) categories. Results We included 39 755 individuals aged 30–75 years in Chinese prospective cohorts. 1275 CAD cases were recorded over a mean follow-up of 12.9 years. Compared with unfavourable CVH profile (zero to three ideal CVH metrics), favourable CVH profile (six to seven ideal CVH metrics) demonstrated similar relative effects across PRS categories, with the HRs of 0.40 (95% CI 0.24 to 0.67), 0.41 (95% CI 0.32 to 0.52) and 0.36 (95% CI 0.26 to 0.52) in low (bottom quintile of PRS), intermediate (two to four quintiles of PRS) and high (top quintile of PRS) PRS categories, respectively. For the absolute risk reduction (ARR), individuals with high PRS achieved the greatest benefit from favourable CVH, mitigating the risk to the average level of population (from 21.1% to 8.7%), and the gradient was strengthened in individuals at the top 5% of PRS. Moreover, compared with individuals at low PRS, those at high PRS obtained longer CAD-free years (2.6 vs 1.1) from favourable CVH at the index age of 35 years. Conclusion Favourable CVH profile reduced the CAD relative risk by similar magnitude across PRS categories, while the ARR from favourable CVH was most pronounced in high PRS category. Attaining favourable CVH should be encouraged for all individuals, especially in individuals with high genetic susceptibility.

[1]  W. Rosamond,et al.  Life’s Essential 8: Updating and Enhancing the American Heart Association’s Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association , 2022, Circulation.

[2]  E. Boerwinkle,et al.  American Heart Association’s Life’s Simple 7: Lifestyle Recommendations, Polygenic Risk, and Lifetime Risk of Coronary Heart Disease , 2022, Circulation.

[3]  OUP accepted manuscript , 2022, European Heart Journal.

[4]  OUP accepted manuscript , 2022, European Heart Journal.

[5]  Sathish Kumar Jayapal,et al.  Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019 , 2020, Journal of the American College of Cardiology.

[6]  A. Khera,et al.  Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease , 2020, Arteriosclerosis, thrombosis, and vascular biology.

[7]  Marc S. Williams,et al.  Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. , 2020, American journal of human genetics.

[8]  Benjamin Neale,et al.  Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults Implications for Primary Prevention , 2019 .

[9]  Deepak L. Bhatt,et al.  Heart Failure Risk Stratification and Efficacy of Sodium-Glucose Cotransporter-2 Inhibitors in Patients With Type 2 Diabetes Mellitus. , 2019, Circulation.

[10]  E. Zeggini,et al.  Genomics of disease risk in globally diverse populations , 2019, Nature Reviews Genetics.

[11]  A. Khera,et al.  2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. , 2019, Journal of the American College of Cardiology.

[12]  Helen E. Parkinson,et al.  The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 , 2018, Nucleic Acids Res..

[13]  Shu Ye,et al.  Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults , 2018, Journal of the American College of Cardiology.

[14]  Pim van der Harst,et al.  Associations of Combined Genetic and Lifestyle Risks With Incident Cardiovascular Disease and Diabetes in the UK Biobank Study , 2018, JAMA cardiology.

[15]  J. Erdmann,et al.  A decade of genome-wide association studies for coronary artery disease: the challenges ahead , 2018, Cardiovascular research.

[16]  Zuo Chen,et al.  Status of Hypertension in China: Results From the China Hypertension Survey, 2012–2015 , 2018, Circulation.

[17]  Xueli Yang,et al.  Ideal cardiovascular health and incidence of atherosclerotic cardiovascular disease among Chinese adults: the China-PAR project , 2018, Science China Life Sciences.

[18]  P. Elliott,et al.  Genetic Predisposition to High Blood Pressure and Lifestyle Factors: Associations With Midlife Blood Pressure Levels and Cardiovascular Events , 2017, Circulation.

[19]  A. Khera,et al.  Genetics of coronary artery disease: discovery, biology and clinical translation , 2017, Nature Reviews Genetics.

[20]  E. Boerwinkle,et al.  Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease. , 2016, The New England journal of medicine.

[21]  Xueli Yang,et al.  Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population: The China-PAR Project (Prediction for ASCVD Risk in China) , 2016, Circulation.

[22]  C. Labos,et al.  Association Between Family History, a Genetic Risk Score, and Severity of Coronary Artery Disease in Patients With Premature Acute Coronary Syndromes , 2016, Arteriosclerosis, thrombosis, and vascular biology.

[23]  Jun Liu,et al.  Lifetime risk for cardiovascular disease in a Chinese population: the Chinese Multi–Provincial Cohort Study , 2015, European journal of preventive cardiology.

[24]  P. Andersen,et al.  Decomposition of number of life years lost according to causes of death , 2013, Statistics in medicine.

[25]  R. Sacco,et al.  Ideal Cardiovascular Health Predicts Lower Risks of Myocardial Infarction, Stroke, and Vascular Death Across Whites, Blacks, and Hispanics: The Northern Manhattan Study , 2012, Circulation.

[26]  D. Srivastava,et al.  Genetics of Human Cardiovascular Disease , 2012, Cell.

[27]  D. Mozaffarian,et al.  Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association's Strategic Impact Goal Through 2020 and Beyond , 2010, Circulation.

[28]  D. Spiegelman,et al.  Point and interval estimates of partial population attributable risks in cohort studies: examples and software , 2007, Cancer Causes & Control.

[29]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[30]  Robert Gray,et al.  A Proportional Hazards Model for the Subdistribution of a Competing Risk , 1999 .