Polygenic Risk Score for Optimizing Primary Prevention in Intermediate-Risk Populations
PERSONAL
Polygenic Risk Score to Optimize Primary Prevention in Intermediate Risk Population (PERSONAL)
1 other identifier
interventional
204
1 country
2
Brief Summary
The goal of this clinical trial is to determine whether incorporating a polygenic risk score (PRS) can optimize primary cardiovascular disease prevention in individuals with intermediate cardiovascular risk. The main questions it aims to answer are:
- Can a polygenic risk score improve risk stratification in intermediate-risk individuals?
- Does disclosing polygenic risk information to patients and physicians lead to better preventive interventions (e.g., statin use, lifestyle changes)? Researchers will compare outcomes in participants with PRS disclosure versus standard risk assessment to see if PRS-guided prevention leads to improved cardiovascular risk management. Participants will:
- Undergo baseline cardiovascular risk assessment
- Provide a blood sample for PRS calculation
- Complete follow-up visits for lifestyle counseling, medication review, and risk reassessment
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2025
Typical duration for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 18, 2025
CompletedFirst Posted
Study publicly available on registry
June 26, 2025
CompletedStudy Start
First participant enrolled
July 8, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 1, 2027
July 25, 2025
July 1, 2025
1.2 years
June 18, 2025
July 24, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in SCORE2 between baseline and 15 months
Mean change in SCORE2 cardiovascular risk score from baseline to 15-month follow-up, comparing the intervention (PRS-CAD + SCORE2) and control (SCORE2 only) arms.
15 months
Secondary Outcomes (25)
Change in systolic blood pressure
Baseline to 15 months
Change in diastolic blood pressure
Baseline to 15 months
Change in total cholesterol
Baseline to 15 months
Change in HDL cholesterol (HDL-C)
Baseline to 15 months
Change in LDL cholesterol (LDL-C)
Baseline to 15 months
- +20 more secondary outcomes
Study Arms (2)
Polygenic Risk Score Combined with SCORE2
EXPERIMENTALParticipants in this arm will receive cardiovascular risk assessment using a combination of traditional clinical risk factors (SCORE2 algorithm) and a polygenic risk score for coronary artery disease (PRS-CAD). The combined risk (PRS-CAD-SCORE2) will be communicated using a structured communication tool developed by the study team. Participants and their healthcare providers will receive the results, and those with elevated risk will be referred to a lipid consultation. Lifestyle guidance and educational materials will also be provided.
SCORE2-Based Risk Assessment
ACTIVE COMPARATORParticipants in this arm will receive standard cardiovascular risk assessment using the SCORE2 algorithm only. Risk results will be communicated using the same structured communication tool, without inclusion of genetic information. No polygenic risk score will be calculated or disclosed. Participants and their healthcare providers will receive the standard risk results and general lifestyle recommendations.
Interventions
A polygenic risk score will be calculated based on genome-wide genotyping and combined with SCORE2 clinical risk factors to estimate personalized cardiovascular risk. The combined risk (PRS-CAD-SCORE2) will be communicated to participants and their healthcare providers using a standardized communication tool. Participants with elevated risk will be referred to a lipid clinic.
Participants will receive risk communication based solely on clinical risk factors using the SCORE2 algorithm. The same structured communication tool will be used (without genetic data), along with general lifestyle guidance.
Eligibility Criteria
You may qualify if:
- years old
- Intermediate cardiovascular risk based on SCORE2 or SCORE2-Diabetes
- Able to give informed consent (understanding German or French or with an interpreter)
- Written Informed Consent
You may not qualify if:
- Patient treated under lipid-lowering therapy (defined as statin, ezetimib, bempedoĂ¯c acid, PCSK-9 inhibitors)
- History of previous cardiovascular disease: coronary artery disease (CAD), peripheral artery disease and ischemic stroke (including transitory ischemic stroke).
- Chronic kidney disease (CKD) define as an estimated glomerular filtration rate (eGFR) of less than 30 ml/min or less than 60 ml/min with albuminuria patients with diabetes and end organ damage (classified as very high risk according to ESC guidelines).
- Other participation in a clinical study related to CV risk or lifestyle interventions (e.g. diet, smoking cessation...)
- Life expectancy of less than one year
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
University of Bern, Institute of Primary Health Care (BIHAM)
Bern, 3012, Switzerland
University of Lausanne, Centre Hospitalier Universitaire Vaudois (CHUV)
Lausanne, Switzerland
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De Montmollin M, Betrisey S, Feller M, Moutzouri E, Blum MR, Amsler J, Papazoglou DD, Moller B, Rodondi N. Achilles tendon ultrasonography in the clinical screening of familial hypercholesterolaemia - a cross-sectional analysis. Swiss Med Wkly. 2023 Nov 20;153:40127. doi: 10.57187/smw.2023.40127.
PMID: 37984334BACKGROUNDRipatti P, Ramo JT, Mars NJ, Fu Y, Lin J, Soderlund S, Benner C, Surakka I, Kiiskinen T, Havulinna AS, Palta P, Freimer NB, Widen E, Salomaa V, Tukiainen T, Pirinen M, Palotie A, Taskinen MR, Ripatti S; FinnGendagger. Polygenic Hyperlipidemias and Coronary Artery Disease Risk. Circ Genom Precis Med. 2020 Apr;13(2):e002725. doi: 10.1161/CIRCGEN.119.002725. Epub 2020 Mar 10.
PMID: 32154731BACKGROUNDJeemon P, Harikrishnan S, Sanjay G, Sivasubramonian S, Lekha TR, Padmanabhan S, Tandon N, Prabhakaran D. A PROgramme of Lifestyle Intervention in Families for Cardiovascular risk reduction (PROLIFIC Study): design and rationale of a family based randomized controlled trial in individuals with family history of premature coronary heart disease. BMC Public Health. 2017 Jan 5;17(1):10. doi: 10.1186/s12889-016-3928-6.
PMID: 28056897BACKGROUNDLindbohm JV, Sipila PN, Mars N, Knuppel A, Pentti J, Nyberg ST, Frank P, Ahmadi-Abhari S, Brunner EJ, Shipley MJ, Singh-Manoux A, Tabak AG, Batty GD, Kivimaki M. Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study. Lancet Digit Health. 2021 Jul;3(7):e434-e444. doi: 10.1016/S2589-7500(21)00079-0.
PMID: 34167764BACKGROUNDWillis A, Davies M, Yates T, Khunti K. Primary prevention of cardiovascular disease using validated risk scores: a systematic review. J R Soc Med. 2012 Aug;105(8):348-56. doi: 10.1258/jrsm.2012.110193.
PMID: 22907552BACKGROUNDSchwalm JD, McCready T, Lopez-Jaramillo P, Yusoff K, Attaran A, Lamelas P, Camacho PA, Majid F, Bangdiwala SI, Thabane L, Islam S, McKee M, Yusuf S. A community-based comprehensive intervention to reduce cardiovascular risk in hypertension (HOPE 4): a cluster-randomised controlled trial. Lancet. 2019 Oct 5;394(10205):1231-1242. doi: 10.1016/S0140-6736(19)31949-X. Epub 2019 Sep 2.
PMID: 31488369BACKGROUNDDaumit GL, Dalcin AT, Dickerson FB, Miller ER, Evins AE, Cather C, Jerome GJ, Young DR, Charleston JB, Gennusa JV 3rd, Goldsholl S, Cook C, Heller A, McGinty EE, Crum RM, Appel LJ, Wang NY. Effect of a Comprehensive Cardiovascular Risk Reduction Intervention in Persons With Serious Mental Illness: A Randomized Clinical Trial. JAMA Netw Open. 2020 Jun 1;3(6):e207247. doi: 10.1001/jamanetworkopen.2020.7247.
PMID: 32530472BACKGROUNDSCORE2 working group and ESC Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J. 2021 Jul 1;42(25):2439-2454. doi: 10.1093/eurheartj/ehab309.
PMID: 34120177BACKGROUNDMohananey A, Tseng AS, Julakanti RR, Gonzalez-Bonilla HM, Kruisselbrink T, Prochnow C, Rodman S, Lin G, Redfield MM, Rosenbaum AN, Pereira NL. An intervention strategy to improve genetic testing for dilated cardiomyopathy in a heart failure clinic. Genet Med. 2023 Mar;25(3):100341. doi: 10.1016/j.gim.2022.11.009. Epub 2022 Dec 6.
PMID: 36472615BACKGROUNDShefer G, Silarova B, Usher-Smith J, Griffin S. The response to receiving phenotypic and genetic coronary heart disease risk scores and lifestyle advice - a qualitative study. BMC Public Health. 2016 Dec 3;16(1):1221. doi: 10.1186/s12889-016-3867-2.
PMID: 27914472BACKGROUNDBrockman DG, Petronio L, Dron JS, Kwon BC, Vosburg T, Nip L, Tang A, O'Reilly M, Lennon N, Wong B, Ng K, Huang KH, Fahed AC, Khera AV. Design and user experience testing of a polygenic score report: a qualitative study of prospective users. BMC Med Genomics. 2021 Oct 1;14(1):238. doi: 10.1186/s12920-021-01056-0.
PMID: 34598685BACKGROUNDViigimaa M, Jurisson M, Pisarev H, Kalda R, Alavere H, Irs A, Saar A, Fischer K, Lall K, Kruuv-Kao K, Mars N, Widen E, Ripatti S, Metspalu A. Effectiveness and feasibility of cardiovascular disease personalized prevention on high polygenic risk score subjects: a randomized controlled pilot study. Eur Heart J Open. 2022 Dec 15;2(6):oeac079. doi: 10.1093/ehjopen/oeac079. eCollection 2022 Nov.
PMID: 36600884BACKGROUNDKnowles JW, Zarafshar S, Pavlovic A, Goldstein BA, Tsai S, Li J, McConnell MV, Absher D, Ashley EA, Kiernan M, Ioannidis JPA, Assimes TL. Impact of a Genetic Risk Score for Coronary Artery Disease on Reducing Cardiovascular Risk: A Pilot Randomized Controlled Study. Front Cardiovasc Med. 2017 Aug 14;4:53. doi: 10.3389/fcvm.2017.00053. eCollection 2017.
PMID: 28856136BACKGROUNDSilarova B, Sharp S, Usher-Smith JA, Lucas J, Payne RA, Shefer G, Moore C, Girling C, Lawrence K, Tolkien Z, Walker M, Butterworth A, Di Angelantonio E, Danesh J, Griffin SJ. Effect of communicating phenotypic and genetic risk of coronary heart disease alongside web-based lifestyle advice: the INFORM Randomised Controlled Trial. Heart. 2019 Jul;105(13):982-989. doi: 10.1136/heartjnl-2018-314211. Epub 2019 Mar 30.
PMID: 30928969BACKGROUNDKumuthini J, Zick B, Balasopoulou A, Chalikiopoulou C, Dandara C, El-Kamah G, Findley L, Katsila T, Li R, Maceda EB, Monye H, Rada G, Thong MK, Wanigasekera T, Kennel H, Marimuthu V; G2MC Evidence investigators; Williams MS, Al-Mulla F, Abramowicz M. The clinical utility of polygenic risk scores in genomic medicine practices: a systematic review. Hum Genet. 2022 Nov;141(11):1697-1704. doi: 10.1007/s00439-022-02452-x. Epub 2022 Apr 30.
PMID: 35488921BACKGROUNDKing 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 Nov 7;20(1):385. doi: 10.1186/s12916-022-02583-y.
PMID: 36336692BACKGROUNDO'Sullivan JW, Raghavan S, Marquez-Luna C, Luzum JA, Damrauer SM, Ashley EA, O'Donnell CJ, Willer CJ, Natarajan P; American Heart Association Council on Genomic and Precision Medicine; Council on Clinical Cardiology; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Lifestyle and Cardiometabolic Health; and Council on Peripheral Vascular Disease. Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2022 Aug 23;146(8):e93-e118. doi: 10.1161/CIR.0000000000001077. Epub 2022 Jul 18.
PMID: 35862132BACKGROUNDSud A, Horton RH, Hingorani AD, Tzoulaki I, Turnbull C, Houlston RS, Lucassen A. Realistic expectations are key to realising the benefits of polygenic scores. BMJ. 2023 Feb 28;380:e073149. doi: 10.1136/bmj-2022-073149.
PMID: 36854461BACKGROUNDKlarin D, Natarajan P. Clinical utility of polygenic risk scores for coronary artery disease. Nat Rev Cardiol. 2022 May;19(5):291-301. doi: 10.1038/s41569-021-00638-w. Epub 2021 Nov 22.
PMID: 34811547BACKGROUNDNatarajan P, Young R, Stitziel NO, Padmanabhan S, Baber U, Mehran R, Sartori S, Fuster V, Reilly DF, Butterworth A, Rader DJ, Ford I, Sattar N, Kathiresan S. Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention Setting. Circulation. 2017 May 30;135(22):2091-2101. doi: 10.1161/CIRCULATIONAHA.116.024436. Epub 2017 Feb 21.
PMID: 28223407BACKGROUNDMega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield M, Devlin JJ, Nordio F, Hyde C, Cannon CP, Sacks F, Poulter N, Sever P, Ridker PM, Braunwald E, Melander O, Kathiresan S, Sabatine MS. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. Lancet. 2015 Jun 6;385(9984):2264-2271. doi: 10.1016/S0140-6736(14)61730-X. Epub 2015 Mar 4.
PMID: 25748612BACKGROUNDMars N, Koskela JT, Ripatti P, Kiiskinen TTJ, Havulinna AS, Lindbohm JV, Ahola-Olli A, Kurki M, Karjalainen J, Palta P; FinnGen; Neale BM, Daly M, Salomaa V, Palotie A, Widen E, Ripatti S. Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers. Nat Med. 2020 Apr;26(4):549-557. doi: 10.1038/s41591-020-0800-0. Epub 2020 Apr 7.
PMID: 32273609BACKGROUNDAragam KG, Dobbyn A, Judy R, Chaffin M, Chaudhary K, Hindy G, Cagan A, Finneran P, Weng LC, Loos RJF, Nadkarni G, Cho JH, Kember RL, Baras A, Reid J, Overton J, Philippakis A, Ellinor PT, Weiss ST, Rader DJ, Lubitz SA, Smoller JW, Karlson EW, Khera AV, Kathiresan S, Do R, Damrauer SM, Natarajan P. Limitations of Contemporary Guidelines for Managing Patients at High Genetic Risk of Coronary Artery Disease. J Am Coll Cardiol. 2020 Jun 9;75(22):2769-2780. doi: 10.1016/j.jacc.2020.04.027.
PMID: 32498804BACKGROUNDInouye M, Abraham G, Nelson CP, Wood AM, Sweeting MJ, Dudbridge F, Lai FY, Kaptoge S, Brozynska M, Wang T, Ye S, Webb TR, Rutter MK, Tzoulaki I, Patel RS, Loos RJF, Keavney B, Hemingway H, Thompson J, Watkins H, Deloukas P, Di Angelantonio E, Butterworth AS, Danesh J, Samani NJ; UK Biobank CardioMetabolic Consortium CHD Working Group. Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention. J Am Coll Cardiol. 2018 Oct 16;72(16):1883-1893. doi: 10.1016/j.jacc.2018.07.079.
PMID: 30309464BACKGROUNDMusliner KL, Mortensen PB, McGrath JJ, Suppli NP, Hougaard DM, Bybjerg-Grauholm J, Baekvad-Hansen M, Andreassen O, Pedersen CB, Pedersen MG, Mors O, Nordentoft M, Borglum AD, Werge T, Agerbo E; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium. Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population. JAMA Psychiatry. 2019 May 1;76(5):516-525. doi: 10.1001/jamapsychiatry.2018.4166.
PMID: 30698613BACKGROUNDMuranen TA, Mavaddat N, Khan S, Fagerholm R, Pelttari L, Lee A, Aittomaki K, Blomqvist C, Easton DF, Nevanlinna H. Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families. Breast Cancer Res Treat. 2016 Aug;158(3):463-9. doi: 10.1007/s10549-016-3897-6. Epub 2016 Jul 20.
PMID: 27438779BACKGROUNDGrundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC Jr, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019 Jun 18;139(25):e1046-e1081. doi: 10.1161/CIR.0000000000000624. Epub 2018 Nov 10. No abstract available.
PMID: 30565953BACKGROUNDSposito AC, Ramires JA, Jukema JW, Molina JC, da Silva PM, Ghadanfar MM, Wilson PW. Physicians' attitudes and adherence to use of risk scores for primary prevention of cardiovascular disease: cross-sectional survey in three world regions. Curr Med Res Opin. 2009 May;25(5):1171-8. doi: 10.1185/03007990902846423.
PMID: 19323611BACKGROUNDFinnikin S, Ryan R, Marshall T. Statin initiations and QRISK2 scoring in UK general practice: a THIN database study. Br J Gen Pract. 2017 Dec;67(665):e881-e887. doi: 10.3399/bjgp17X693485. Epub 2017 Oct 23.
PMID: 29061715BACKGROUNDDelabays B, Marques-Vidal P, Kronenberg F, Waeber G, Vollenweider P, Vaucher J. Use of lipoprotein(a) for refining cardiovascular risk prediction in a low-risk population: The CoLaus/PsyCoLaus study. Eur J Prev Cardiol. 2021 Jul 23;28(8):e18-e20. doi: 10.1177/2047487320938271. Epub 2020 Jul 5. No abstract available.
PMID: 34298560BACKGROUNDMosca L, Banka CL, Benjamin EJ, Berra K, Bushnell C, Dolor RJ, Ganiats TG, Gomes AS, Gornik HL, Gracia C, Gulati M, Haan CK, Judelson DR, Keenan N, Kelepouris E, Michos ED, Newby LK, Oparil S, Ouyang P, Oz MC, Petitti D, Pinn VW, Redberg RF, Scott R, Sherif K, Smith SC Jr, Sopko G, Steinhorn RH, Stone NJ, Taubert KA, Todd BA, Urbina E, Wenger NK; Expert Panel/Writing Group; American Heart Association; American Academy of Family Physicians; American College of Obstetricians and Gynecologists; American College of Cardiology Foundation; Society of Thoracic Surgeons; American Medical Women's Association; Centers for Disease Control and Prevention; Office of Research on Women's Health; Association of Black Cardiologists; American College of Physicians; World Heart Federation; National Heart, Lung, and Blood Institute; American College of Nurse Practitioners. Evidence-based guidelines for cardiovascular disease prevention in women: 2007 update. Circulation. 2007 Mar 20;115(11):1481-501. doi: 10.1161/CIRCULATIONAHA.107.181546. Epub 2007 Feb 19. No abstract available.
PMID: 17309915BACKGROUNDEdwards FH, Ferraris VA, Shahian DM, Peterson E, Furnary AP, Haan CK, Bridges CR; Society of Thoracic Surgeons. Gender-specific practice guidelines for coronary artery bypass surgery: perioperative management. Ann Thorac Surg. 2005 Jun;79(6):2189-94. doi: 10.1016/j.athoracsur.2005.02.065.
PMID: 15919346BACKGROUNDMaas AH, Appelman YE. Gender differences in coronary heart disease. Neth Heart J. 2010 Dec;18(12):598-602. doi: 10.1007/s12471-010-0841-y.
PMID: 21301622BACKGROUNDDamask A, Steg PG, Schwartz GG, Szarek M, Hagstrom E, Badimon L, Chapman MJ, Boileau C, Tsimikas S, Ginsberg HN, Banerjee P, Manvelian G, Pordy R, Hess S, Overton JD, Lotta LA, Yancopoulos GD, Abecasis GR, Baras A, Paulding C; Regeneron Genetics Center and the ODYSSEY OUTCOMES Investigators. Patients With High Genome-Wide Polygenic Risk Scores for Coronary Artery Disease May Receive Greater Clinical Benefit From Alirocumab Treatment in the ODYSSEY OUTCOMES Trial. Circulation. 2020 Feb 25;141(8):624-636. doi: 10.1161/CIRCULATIONAHA.119.044434. Epub 2019 Nov 11.
PMID: 31707832BACKGROUNDMarston NA, Kamanu FK, Nordio F, Gurmu Y, Roselli C, Sever PS, Pedersen TR, Keech AC, Wang H, Lira Pineda A, Giugliano RP, Lubitz SA, Ellinor PT, Sabatine MS, Ruff CT. Predicting Benefit From Evolocumab Therapy in Patients With Atherosclerotic Disease Using a Genetic Risk Score: Results From the FOURIER Trial. Circulation. 2020 Feb 25;141(8):616-623. doi: 10.1161/CIRCULATIONAHA.119.043805. Epub 2019 Nov 11.
PMID: 31707849BACKGROUNDKullo IJ, Jouni H, Austin EE, Brown SA, Kruisselbrink TM, Isseh IN, Haddad RA, Marroush TS, Shameer K, Olson JE, Broeckel U, Green RC, Schaid DJ, Montori VM, Bailey KR. Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial). Circulation. 2016 Mar 22;133(12):1181-8. doi: 10.1161/CIRCULATIONAHA.115.020109. Epub 2016 Feb 25.
PMID: 26915630BACKGROUNDde La Harpe R, Thorball CW, Redin C, Fournier S, Muller O, Strambo D, Michel P, Vollenweider P, Marques-Vidal P, Fellay J, Vaucher J. Combining European and U.S. risk prediction models with polygenic risk scores to refine cardiovascular prevention: the CoLaus|PsyCoLaus Study. Eur J Prev Cardiol. 2023 May 9;30(7):561-571. doi: 10.1093/eurjpc/zwad012.
PMID: 36652418BACKGROUNDElliott J, Bodinier B, Bond TA, Chadeau-Hyam M, Evangelou E, Moons KGM, Dehghan A, Muller DC, Elliott P, Tzoulaki I. Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. JAMA. 2020 Feb 18;323(7):636-645. doi: 10.1001/jama.2019.22241.
PMID: 32068818BACKGROUNDSun L, Pennells L, Kaptoge S, Nelson CP, Ritchie SC, Abraham G, Arnold M, Bell S, Bolton T, Burgess S, Dudbridge F, Guo Q, Sofianopoulou E, Stevens D, Thompson JR, Butterworth AS, Wood A, Danesh J, Samani NJ, Inouye M, Di Angelantonio E. Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses. PLoS Med. 2021 Jan 14;18(1):e1003498. doi: 10.1371/journal.pmed.1003498. eCollection 2021 Jan.
PMID: 33444330BACKGROUNDKhera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018 Sep;50(9):1219-1224. doi: 10.1038/s41588-018-0183-z. Epub 2018 Aug 13.
PMID: 30104762BACKGROUNDKhera AV, Emdin CA, Drake I, Natarajan P, Bick AG, Cook NR, Chasman DI, Baber U, Mehran R, Rader DJ, Fuster V, Boerwinkle E, Melander O, Orho-Melander M, Ridker PM, Kathiresan S. Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease. N Engl J Med. 2016 Dec 15;375(24):2349-2358. doi: 10.1056/NEJMoa1605086. Epub 2016 Nov 13.
PMID: 27959714BACKGROUNDPiepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, Cooney MT, Corra U, Cosyns B, Deaton C, Graham I, Hall MS, Hobbs FDR, Lochen ML, Lollgen H, Marques-Vidal P, Perk J, Prescott E, Redon J, Richter DJ, Sattar N, Smulders Y, Tiberi M, van der Worp HB, van Dis I, Verschuren WMM, Binno S; ESC Scientific Document Group. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J. 2016 Aug 1;37(29):2315-2381. doi: 10.1093/eurheartj/ehw106. Epub 2016 May 23. No abstract available.
PMID: 27222591BACKGROUNDVisseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B; ESC National Cardiac Societies; ESC Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021 Sep 7;42(34):3227-3337. doi: 10.1093/eurheartj/ehab484. No abstract available.
PMID: 34458905BACKGROUNDMach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O; ESC Scientific Document Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020 Jan 1;41(1):111-188. doi: 10.1093/eurheartj/ehz455. No abstract available.
PMID: 31504418BACKGROUNDSilverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, Braunwald E, Sabatine MS. Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis. JAMA. 2016 Sep 27;316(12):1289-97. doi: 10.1001/jama.2016.13985.
PMID: 27673306BACKGROUNDLozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Barker-Collo S, Bartels DH, Bell ML, Benjamin EJ, Bennett D, Bhalla K, Bikbov B, Bin Abdulhak A, Birbeck G, Blyth F, Bolliger I, Boufous S, Bucello C, Burch M, Burney P, Carapetis J, Chen H, Chou D, Chugh SS, Coffeng LE, Colan SD, Colquhoun S, Colson KE, Condon J, Connor MD, Cooper LT, Corriere M, Cortinovis M, de Vaccaro KC, Couser W, Cowie BC, Criqui MH, Cross M, Dabhadkar KC, Dahodwala N, De Leo D, Degenhardt L, Delossantos A, Denenberg J, Des Jarlais DC, Dharmaratne SD, Dorsey ER, Driscoll T, Duber H, Ebel B, Erwin PJ, Espindola P, Ezzati M, Feigin V, Flaxman AD, Forouzanfar MH, Fowkes FG, Franklin R, Fransen M, Freeman MK, Gabriel SE, Gakidou E, Gaspari F, Gillum RF, Gonzalez-Medina D, Halasa YA, Haring D, Harrison JE, Havmoeller R, Hay RJ, Hoen B, Hotez PJ, Hoy D, Jacobsen KH, James SL, Jasrasaria R, Jayaraman S, Johns N, Karthikeyan G, Kassebaum N, Keren A, Khoo JP, Knowlton LM, Kobusingye O, Koranteng A, Krishnamurthi R, Lipnick M, Lipshultz SE, Ohno SL, Mabweijano J, MacIntyre MF, Mallinger L, March L, Marks GB, Marks R, Matsumori A, Matzopoulos R, Mayosi BM, McAnulty JH, McDermott MM, McGrath J, Mensah GA, Merriman TR, Michaud C, Miller M, Miller TR, Mock C, Mocumbi AO, Mokdad AA, Moran A, Mulholland K, Nair MN, Naldi L, Narayan KM, Nasseri K, Norman P, O'Donnell M, Omer SB, Ortblad K, Osborne R, Ozgediz D, Pahari B, Pandian JD, Rivero AP, Padilla RP, Perez-Ruiz F, Perico N, Phillips D, Pierce K, Pope CA 3rd, Porrini E, Pourmalek F, Raju M, Ranganathan D, Rehm JT, Rein DB, Remuzzi G, Rivara FP, Roberts T, De Leon FR, Rosenfeld LC, Rushton L, Sacco RL, Salomon JA, Sampson U, Sanman E, Schwebel DC, Segui-Gomez M, Shepard DS, Singh D, Singleton J, Sliwa K, Smith E, Steer A, Taylor JA, Thomas B, Tleyjeh IM, Towbin JA, Truelsen T, Undurraga EA, Venketasubramanian N, Vijayakumar L, Vos T, Wagner GR, Wang M, Wang W, Watt K, Weinstock MA, Weintraub R, Wilkinson JD, Woolf AD, Wulf S, Yeh PH, Yip P, Zabetian A, Zheng ZJ, Lopez AD, Murray CJ, AlMazroa MA, Memish ZA. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012 Dec 15;380(9859):2095-128. doi: 10.1016/S0140-6736(12)61728-0.
PMID: 23245604BACKGROUNDWang F, Yu Y, Mubarik S, Zhang Y, Liu X, Cheng Y, Yu C, Cao J. Global Burden of Ischemic Heart Disease and Attributable Risk Factors, 1990-2017: A Secondary Analysis Based on the Global Burden of Disease Study 2017. Clin Epidemiol. 2021 Sep 21;13:859-870. doi: 10.2147/CLEP.S317787. eCollection 2021.
PMID: 34584461BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Nicolas Rodondi, MD
University hospital of Bern
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, OUTCOMES ASSESSOR
- Masking Details
- Study nurse/Research Fellow providing the information of cardiovascular risk at baseline will be masked. Patients will be masked as both groups will receive genetic results (intervention group during the study, control group at the end of the study).
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 18, 2025
First Posted
June 26, 2025
Study Start
July 8, 2025
Primary Completion (Estimated)
September 1, 2026
Study Completion (Estimated)
October 1, 2027
Last Updated
July 25, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will not share
IPD will only be shared after official request