Single-nucleotide polymorphisms in coronary artery disease: Biological complexity, risk architecture, and implications for precision prevention

Li Dai , Mosi Chen , Jun Hu , Lei Huang , Ye Yang , Chang Chen , Ying Zhuang , Yan Pan , Bingjun Qian

Precision Medical Sciences ›› 2026, Vol. 15 ›› Issue (2) : 91 -101.

PDF (767KB)
Precision Medical Sciences ›› 2026, Vol. 15 ›› Issue (2) :91 -101. DOI: 10.1002/prm2.70031
REVIEW ARTICLE
Single-nucleotide polymorphisms in coronary artery disease: Biological complexity, risk architecture, and implications for precision prevention
Author information +
History +
PDF (767KB)

Abstract

Coronary artery disease (CAD) is characterized by significant genetic diversity with interindividual genetic variation. Genomewide association studies have discovered many CAD-associated single-nucleotide polymorphisms (SNPs) and provided for the development of polygenic risk scores (PRS) to measure total genetic susceptibility. This review reviews the present evidence of SNPs in connection with CAD risk, discusses biological mechanisms whereby genetic variation affects vascular and metabolic phenotypes, and provides some methodological advances and limitations in PRS construction and testing. Although PRS extends risk stratification beyond clinical factors, its clinical utility is limited by population-level effects, limited biological interpretability, and variable predictive performance. Furthermore, we also discuss new approaches incorporating genetically informed risk assessment into clinical and imaging-based schemes to aid precision prevention. By explicitly bridging genetic association, biological interpretabilities, and clinical support, we aim to encourage responsible translation of genetic risk stratifying into CAD prevention.

Keywords

coronary artery disease / polygenic risk score / precision prevention / single-nucleotide polymorphism

Cite this article

Download citation ▾
Li Dai, Mosi Chen, Jun Hu, Lei Huang, Ye Yang, Chang Chen, Ying Zhuang, Yan Pan, Bingjun Qian. Single-nucleotide polymorphisms in coronary artery disease: Biological complexity, risk architecture, and implications for precision prevention. Precision Medical Sciences, 2026, 15 (2) : 91-101 DOI:10.1002/prm2.70031

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Xia X, Tian X, Xu Q, et al. Global trends and regional differences in mortality of cardiovascular disease and its impact on longevity, 1980-2021: age-period-cohort analyses and life expectancy decomposition based on the Global Burden of Disease study 2021. Ageing Res Rev. 2025; 103:102597.

[2]

Lear SA, McKee M, Hystad P, et al. Social factors, health policy, and environment: implications for cardiovascular disease across the globe. Eur Heart J. 2025; 46: 2959-2973.

[3]

Sapoval JM, Bobeck KA, Recidoro AM, Smith DK. Cardiovascular disease update: coronary artery disease risk assessment and noninvasive testing. FP Essent. 2025; 555: 13-18.

[4]

Boccanelli A, Scardovi AB. Sudden death in ischemic heart disease: looking for new predictors: polygenic risk. Eur Heart J Suppl. 2023; 25: B31-B33.

[5]

Saadatagah S, Varughese MG, Nambi V. Coronary artery disease risk prediction in young adults: how can we overcome the dominant effect of age? Curr Atheroscler Rep. 2023; 25: 257-265.

[6]

Lima IR, Tada MT, Oliveira TGM, et al. Polygenic risk score for hypercholesterolemia in a Brazilian familial hypercholesterolemia cohort. Atheroscler Plus. 2022; 49: 47-55.

[7]

Patel AP, Wang M, Ruan Y, et al. A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease. Nat Med. 2023; 29: 1793-1803.

[8]

Tcheandjieu C, Zhu X, Hilliard AT, et al. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med. 2022; 28: 1679-1692.

[9]

Christiansen MK, Nyegaard M, Jensen HK. Polygenic risk scores in coronary artery disease. Curr Opin Cardiol. 2023; 38: 39-46.

[10]

Trinder M, Vikulova D, Pimstone S, Mancini GBJ, Brunham LR. Polygenic architecture and cardiovascular risk of familial combined hyperlipidemia. Atherosclerosis. 2022; 340: 35-43.

[11]

Severance LM, Carter H, Contijoch FJ, McVeigh ER. Targeted coronary artery calcium screening in high-risk younger individuals using consumer genetic screening results. JACC Cardiovasc Imaging. 2021; 14: 1398-1406.

[12]

Levin MG, Klarin D, Assimes TL, et al. Genetics of smoking and risk of atherosclerotic cardiovascular diseases: a Mendelian randomization study. JAMA Netw Open. 2021; 4:e2034461.

[13]

Lauffer P, van Weelden W, van Haelst MM, Jansen PR. Polygenic risk scores in routine genetic diagnostics: what lies ahead? J Community Genet. 2025; 17: 8.

[14]

Sharma K, Hema K, Bhatraju NK, et al. The deleterious impact of a non-synonymous SNP on protein structure and function is apparent in hypertension. J Mol Model. 2021; 28: 14.

[15]

Pertusa C, Tarin JJ, Cano A, Garcia-Perez MA. Association of a single nucleotide polymorphism of RANK gene with blood pressure in Spanish women. Medicine. 2020; 99:e22436.

[16]

Abuagla HA, Adam KM, Elangeeb ME, et al. Impact of nonsynonymous single nucleotide polymorphisms in PROCR gene on protein stability and thrombotic risk: a molecular dynamic approach. Front Genet. 2025; 16:1580993.

[17]

Koitsopoulos PG, Rabkin SW. The association of polymorphism in PHACTR1 rs9349379 and rs12526453 with coronary artery atherosclerosis or coronary artery calcification. A systematic review. Coron Artery Dis. 2021; 32: 448-458.

[18]

Yuan W, Zhang W, Zhang W, et al. New findings in the roles of cyclin-dependent kinase inhibitors 2B antisense RNA 1 (CDKN2B-AS1) rs1333049 G/C and rs4977574 A/G variants on the risk to coronary heart disease. Bioengineered. 2020; 11: 1084-1098.

[19]

Mohammadi-Noori E, Salehi N, Mozafari H, et al. Association of AHSG gene polymorphisms with serum fetuin-A levels in individuals with cardiovascular calcification in west of Iran. Mol Biol Rep. 2020; 47: 1809-1820.

[20]

Pechlivanis S, Mahabadi AA, Hoffmann P, et al. Association between lipoprotein(a) (Lp(a)) levels and Lp(a) genetic variants with coronary artery calcification. BMC Med Genet. 2020; 21: 62.

[21]

Abulaiti D, Abudureyimu S, Li H, Cao Y, Gao Y. Nomogram developed with APOA5 genetic variant rs662799 and clinical characteristics predicting risk of essential hypertension in a Chinese population. Cardiovasc Diagn Ther. 2024; 14: 118-128.

[22]

Nicholson RJ, Poss AM, Maschek JA, et al. Characterizing a common CERS2 polymorphism in a mouse model of metabolic disease and in subjects from the Utah CAD study. J Clin Endocrinol Metab. 2021; 106: e3098-e3109.

[23]

Zahid A, Batool A, Wajid A, et al. Identifying genetic susceptibility loci associated with human coronary artery disease. PLoS One. 2025; 20:e0315460.

[24]

Wang Y, Zhong S, Sun N, et al. Cancer, genetic susceptibility and risk of coronary artery disease: a prospective study. Am J Prev Cardiol. 2025; 21:100926.

[25]

Fu Z, Ma Y, Yang C, et al. Association of air pollution exposure and increased coronary artery disease risk: the modifying effect of genetic susceptibility. Environ Health. 2023; 22: 85.

[26]

Nakada S, Ward J, Strawbridge RJ, et al. Anxiety disorder, depression and coronary artery disease: associations and modification by genetic susceptibility. BMC Med. 2025; 23: 73.

[27]

Dawson EA, Sheikhsaraf B, Boidin M, Erskine RM, Thijssen DHJ. Intra-individual differences in the effect of endurance versus resistance training on vascular function: a cross-over study. Scand J Med Sci Sports. 2021; 31: 1683-1692.

[28]

Shvetsova AA, Gaynullina DK, Schmid J, Winkler P, Sonsala I, Schubert R. Dual role of calcium-activated potassium channels of high conductance: facilitator or limiter of NO-induced arterial relaxation? Front Physiol. 2025; 16:1563014.

[29]

Wang X, Chen A, Hu R, et al. Salusin-beta, a TOR2A gene product, promotes proliferation, migration, fibrosis, and calcification of smooth muscle cells and accelerates the imbalance of vasomotor function and vascular remodeling in monocrotaline-induced pulmonary hypertensive rats. Front Pharmacol. 2022; 13:928834.

[30]

Della-Morte D, Pacifici F, Simonetto M, et al. The role of sirtuins and uncoupling proteins on vascular aging: the Northern Manhattan Study experience. Free Radic Biol Med. 2024; 220: 262-270.

[31]

Nogimura D, Moriyasu K, Ishida S, Kohda M, Yazawa T, Morita M. SNP associations in the L-citrulline metabolic pathway and vascular aging in the Japanese population. PLoS One. 2025; 20:e0323778.

[32]

Sa D, Mendonca MI, Serrao M, et al. Unraveling the genetic basis of subclinical atherosclerosis: early genetic detection can improve cardiovascular prevention. Rev Port Cardiol. 2025; 44: 351-358.

[33]

Salido E, de Medeiros Vieira C, Mosquera JV, et al. The 9p21.3 coronary artery disease risk locus drives vascular smooth muscle cells to an osteochondrogenic state. Arterioscler Thromb Vasc Biol. 2025; 45: 702-721.

[34]

Bakhshian Nik A, Ng HH, Ashbrook SK, et al. Epidermal growth factor receptor inhibition prevents vascular calcifying extracellular vesicle biogenesis. Am J Physiol Heart Circ Physiol. 2023; 324: H553-H570.

[35]

Fang S, Deng C, Zhao R. Lipoprotein(a) and high-risk coronary plaques: mechanisms, characteristics, and emerging therapeutic strategies. Rev Cardiovasc Med. 2025; 26:44003.

[36]

Pietruszynska-Reszetarska A, Pietruszynski R, Majsterek I, et al. Coronary artery disease is related to methylation disorders caused by the c.1286A>C MTHFR polymorphism and to low serum 5-MTHF and folic acid concentrations-preliminary results. Reports (MDPI). 2024; 7:6.

[37]

Shilenok V, Kobzeva K, Bushueva O. SERBP1 (Hero45) is a novel link with ischemic heart disease risk: associations with coronary arteries occlusion, blood coagulation and lipid profile. Cell Biochem Biophys. 2025; 83: 3557-3569.

[38]

Ma L, Chandel N, Ermel R, et al. Multiple independent mechanisms link gene polymorphisms in the region of ZEB2 with risk of coronary artery disease. Atherosclerosis. 2020; 311: 20-29.

[39]

Gai MT, Adi D, Chen XC, et al. Polymorphisms of rs2483205 and rs562556 in the PCSK9 gene are associated with coronary artery disease and cardiovascular risk factors. Sci Rep. 2021; 11:11450.

[40]

Gaber MA, Omar OHM, Meki AMA, Nassar AY, Hassan AKM, Mahmoud MS. The significance of PCSK-9's level and polymorphism in premature coronary artery disease: relation to risk and severity. Clin Biochem. 2024; 125:110729.

[41]

Kettunen S, Suoranta T, Beikverdi S, et al. Deletion of the murine ortholog of the human 9p21.3 locus leads to insulin resistance and obesity in hypercholesterolemic mice. Cells. 2024; 13:983.

[42]

Ding K, Zhou Z, Ma Y, et al. Identification of novel metabolic subtypes using multi-trait limited mixed regression in the Chinese population. Biomedicine. 2022; 10:3093.

[43]

Ndong Sima CAA, Step K, Swart Y, Schurz H, Uren C, Moller M. Methodologies underpinning polygenic risk scores estimation: a comprehensive overview. Hum Genet. 2024; 143: 1265-1280.

[44]

Babb de Villiers C, Kroese M, Moorthie S. Understanding polygenic models, their development and the potential application of polygenic scores in healthcare. J Med Genet. 2020; 57: 725-732.

[45]

Wang Y, Namba S, Lopera E, et al. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts. Cell Genom. 2023; 3:100241.

[46]

Khan SS, Post WS, Guo X, et al. Coronary artery calcium score and polygenic risk score for the prediction of coronary heart disease events. JAMA. 2023; 329: 1768-1777.

[47]

Gray MP, Berman Y, Botta G, et al. Incorporating a polygenic risk score-triaged coronary calcium score into cardiovascular disease examinations to identify subclinical coronary artery disease (ESCALATE): protocol for a prospective, nonrandomized implementation trial. Am Heart J. 2023; 264: 163-173.

[48]

Mekhael M, Bidaoui G, Falloon A, Pandey AC. Personalization of primary prevention: exploring the role of coronary artery calcium and polygenic risk score in cardiovascular diseases. Trends Cardiovasc Med. 2025; 35: 154-163.

[49]

Al Hageh C, O'Sullivan S, Henschel A, et al. PHACTR1 and APOC1 genetic variants are associated with multi-vessel coronary artery disease. Lipids Health Dis. 2024; 23:332.

[50]

Nurmohamed NS, Shim I, Gaillard EL, et al. Polygenic risk is associated with long-term coronary plaque progression and high-risk plaque. JACC Cardiovasc Imaging. 2024; 17: 1445-1459.

[51]

Zhou Z, Wang J. A narrative review of multimodal data fusion strategies for precision risk prediction in coronary artery disease: advances, challenges, and future informatics directions. Rambam Maimonides Med J. 2025; 16:e0023.

[52]

Liu M, Li Y, Sun L, et al. Integrating multi-organ imaging-derived phenotypes and genomic information for predicting the occurrence of common diseases. Bioengineering. 2024; 11:872.

[53]

Choi J, Wen W, Jia G, et al. Lifestyle factors, genetic susceptibility to obesity and their interactions on coronary artery disease risk: a cohort study in the UK Biobank. Prev Med. 2024; 180:107886.

[54]

Konuma T, Okada Y. Statistical genetics and polygenic risk score for precision medicine. Inflamm Regen. 2021; 41: 18.

[55]

Park S. Association of polygenic risk scores for insulin resistance risk and their interaction with a plant-based diet, especially fruits, vitamin C, and flavonoid intake, in Asian adults. Nutrition. 2023; 111:112007.

[56]

Wuni R, Kuhnle GGC, Wynn-Jones AA, Vimaleswaran KS. A nutrigenetic update on CETP gene-diet interactions on lipid-related outcomes. Curr Atheroscler Rep. 2022; 24: 119-132.

[57]

Giontella A, Sjogren M, Lotta LA, et al. Clinical evaluation of the polygenetic background of blood pressure in the population-based setting. Hypertension. 2021; 77: 169-177.

[58]

Mishra PP, Mishra BH, Lyytikainen LP, et al. Genetic risk score for coronary artery calcification and its predictive ability for coronary artery disease. Am J Prev Cardiol. 2024; 20:100884.

[59]

Christiansen MK, Nissen L, Winther S, et al. Genetic risk of coronary artery disease, features of atherosclerosis, and coronary plaque burden. J Am Heart Assoc. 2020; 9:e014795.

[60]

Muchaili L, Liweleya S, Siame L, et al. Atherosclerosis and sudden cardiac death in athletes. Curr Probl Cardiol. 2025; 50:103123.

[61]

Sun Q, Horimoto A, Chen B, et al. Opportunities and challenges of local ancestry in genetic association analyses. Am J Hum Genet. 2025; 112: 727-740.

[62]

Hahn G, Prokopenko D, Hecker J, et al. Prediction of disease-free survival for precision medicine using cooperative learning on multi-omic data. Brief Bioinform. 2024; 25:bbae267.

[63]

Brockman DG, Petronio L, Dron JS, et al. Design and user experience testing of a polygenic score report: a qualitative study of prospective users. BMC Med Genomics. 2021; 14:238.

[64]

Kalafati IP, Tsifintaris M, Dimitriou M, Grigoriou E, Moulos P, Dedoussis GV. Development and validation of a polygenic risk score for height in a Greek cohort: association with blood pressure measurements. Front Genet. 2025; 16:1538975.

[65]

Verma KP, Marwick TH, Duarte C, Meikle P, Inouye M, Carrington MJ. Use of coronary computed tomography or polygenic risk scores to prompt action to reduce coronary artery disease risk: the CAPAR-CAD trial. Am Heart J. 2022; 248: 97-107.

[66]

Ponikowska M, Di Domenico P, Bolli A, Busby GB, Perez E, Botta G. Precision medicine in cardiovascular disease prevention: clinical validation of multi-ancestry polygenic risk scores in a U.S. cohort. Nutrients. 2025; 17:926.

[67]

Chen YJ, Chen IC, Chen YM, et al. Prevalence of genetically defined familial hypercholesterolemia and the impact on acute myocardial infarction in Taiwanese population: a hospital-based study. Front Cardiovasc Med. 2022; 9:994662.

[68]

Huang Y, Hui Q, Gwinn M, et al. Interaction between genetics and smoking in determining risk of coronary artery diseases. Genet Epidemiol. 2022; 46: 199-212.

[69]

Sng LMF, Sharma R, Bagot S, Bauer DC, Twine NA. Prediction of coronary artery disease risk using genetic and phenotypic variables. Stud Health Technol Inform. 2024; 310: 1021-1025.

[70]

Lithovius R, Antikainen AA, Mutter S, et al. Genetic risk score enhances coronary artery disease risk prediction in individuals with type 1 diabetes. Diabetes Care. 2022; 45: 734-741.

[71]

Maxwell TJ, Franks PW, Kahn SE, et al. Quantitative trait loci, GxE and GxG for glycemic traits: response to metformin and placebo in the Diabetes Prevention Program (DPP). J Hum Genet. 2022; 67: 465-473.

[72]

Del Rio-Sola MAL, Asensio-Rodriguez S, Perez-Fernandez S, Roedan-Oliver J. Genetic polymorphisms associated with iliac artery calcification in peripheral artery disease. Ann Vasc Surg. 2025; 123: 191-198.

[73]

Flores AM, Schuler A, Eberhard AV, et al. Unsupervised learning for automated detection of coronary artery disease subgroups. J Am Heart Assoc. 2021; 10:e021976.

[74]

Billingsley KJ, Ding J, Jerez PA, et al. Genome-wide analysis of structural variants in Parkinson disease. Ann Neurol. 2023; 93: 1012-1022.

[75]

Orozco G. Fine mapping with epigenetic information and 3D structure. Semin Immunopathol. 2022; 44: 115-125.

[76]

Flynn ED, Lappalainen T. Functional characterization of genetic variant effects on expression. Annu Rev Biomed Data Sci. 2022; 5: 119-139.

[77]

King A, Wu L, Deng HW, Shen H, Wu C. Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease. BMC Med. 2022; 20: 385.

[78]

Patel AP, Khera AV. Advances and applications of polygenic scores for coronary artery disease. Annu Rev Med. 2023; 74: 141-154.

[79]

Widen E, Lello L, Raben TG, Tellier L, Hsu SDH. Polygenic health index, general health, and pleiotropy: sibling analysis and disease risk reduction. Sci Rep. 2022; 12:18173.

[80]

Shim I, Kuwahara H, Chen N, et al. Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nat Commun. 2023; 14: 6535.

[81]

Huang QQ, Sallah N, Dunca D, et al. Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals. Nat Commun. 2022; 13: 4664.

[82]

Mars N, Kerminen S, Feng YA, et al. Genome-wide risk prediction of common diseases across ancestries in one million people. Cell Genom. 2022; 2.

[83]

Topriceanu CC, Chaturvedi N, Mathur R, Garfield V. Validity of European-centric cardiometabolic polygenic scores in multi-ancestry populations. Eur J Hum Genet. 2024; 32: 697-707.

[84]

Surakka I, Wolford BN, Ritchie SC, et al. Sex-specific survival bias and interaction modeling in coronary artery disease risk prediction. Circ Genom Precis Med. 2023; 16:e003542.

[85]

Fahed AC, Natarajan P. Clinical applications of polygenic risk score for coronary artery disease through the life course. Atherosclerosis. 2023; 386:117356.

[86]

Marston NA, Pirruccello JP, Melloni GEM, et al. Predictive utility of a coronary artery disease polygenic risk score in primary prevention. JAMA Cardiol. 2023; 8: 130-137.

[87]

Nikpay M, McPherson R. Convergence of biomarkers and risk factor trait loci of coronary artery disease at 3p21.31 and HLA region. NPJ Genom Med. 2021; 6: 12.

[88]

Lin A, Kolossvary M, Motwani M, et al. Artificial intelligence in cardiovascular imaging for risk stratification in coronary artery disease. Radiol Cardiothorac Imaging. 2021; 3:e200512.

[89]

Hsu PW, Yeh CH, Lo CJ, et al. Trans-omics analyses identify the biochemical network of LPCAT1 associated with coronary artery disease. Biomark Res. 2025; 13:107.

[90]

Elmahrouk A, Daoulah A, Panduranga P, et al. Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease: a retrospective cohort study. Int J Surg. 2024; 110: 7142-7149.

[91]

Ord T, Lonnberg T, Nurminen V, et al. Dissecting the polygenic basis of atherosclerosis via disease-associated cell state signatures. Am J Hum Genet. 2023; 110: 722-740.

[92]

Baur B, Shin J, Schreiber J, et al. Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation. PLoS Comput Biol. 2023; 19:e1011286.

[93]

Kim J, Han JH, Kim M, et al. From GWAS signal to function: targeted CRISPR activation enables functional characterization of non-coding SNPs in chickens. Front Genome Ed. 2025; 7:1662152.

Rights & permissions

2026 The Author(s). Precision Medical Sciences published by John Wiley & Sons Australia, Ltd on behalf of Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital.

PDF (767KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉