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Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes
Open accessAbstract
BACKGROUND: Pharmacologic inhibitors of proprotein convertase subtilisin-kexin type 9 (PCSK9) are being evaluated in clinical trials for the treatment of cardiovascular disease. The effect of lowering low-density lipoprotein (LDL) cholesterol levels by inhibiting PCSK9 on the risk of cardiovascular events or diabetes is unknown. METHODS: We used genetic scores consisting of independently inherited variants in the genes encoding PCSK9 and 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR; the target of statins) as instruments to randomly assign 112,772 participants from 14 studies, with 14,120 cardiovascular events and 10,635 cases of diabetes, to groups according to the number of LDL cholesterol-lowering alleles that they had inherited. We compared the effects of lower LDL cholesterol levels that were mediated by variants in PCSK9, HMGCR, or both on the risk of cardiovascular events and the risk of diabetes. RESULTS: Variants in PCSK9 and HMGCR were associated with nearly identical protective effects on the risk of cardiovascular events per decrease of 10 mg per deciliter (0.26 mmol per liter) in the LDL cholesterol level: odds ratio for cardiovascular events, 0.81 (95% confidence interval [CI], 0.74 to 0.89) for PCSK9 and 0.81 (95% CI, 0.72 to 0.90) for HMGCR. Variants in these two genes were also associated with very similar effects on the risk of diabetes: odds ratio for each 10 mg per deciliter decrease in LDL cholesterol, 1.11 (95% CI, 1.04 to 1.19) for PCSK9 and 1.13 (95% CI, 1.06 to 1.20) for HMGCR. The increased risk of diabetes was limited to persons with impaired fasting glucose levels for both scores and was lower in magnitude than the protective effect against cardiovascular events. When present together, PCSK9 and HMGCR variants had additive effects on the risk of both cardiovascular events and diabetes. CONCLUSIONS: In this study, variants in PCSK9 had approximately the same effect as variants in HMGCR on the risk of cardiovascular events and diabetes per unit decrease in the LDL cholesterol level. The effects of these variants were independent and additive. (Funded by the Medical Research Council and the National Heart, Lung, and Blood Institute.).
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“As an extension of MR, drug target MR has emerged as efficient way to estimate therapeutic potential by using genetic variants in genes encoding drug targets (referred to as cis variants) to mimic the actions of drugs.”
From Genetic insights into causal effects of lipids and lipid-modifying targets on calcific aortic valve stenosis: a Mendelian randomized study (2025) · cites this paper as [13]
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“Likewise, these observations are supported by data from a recent mendelian randomization study in which variants in PCSK9 and variants in HMGCR were associated with nearly identical lower risks of cardiovascular events per unit reduction in LDL cholesterol.29”
From Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease (2017) · cites this paper as [29]
In the citing paper
“mendelian randomisation studies 8,[19][20][21] of genetic polymorphisms that mimic the effects of statins, ezetimibe, or PCSK9 inhibitors suggest that lifelong reductions in LDL cholesterol, irrespective of the mechanism, are associated with an increased risk of diabetes.”
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“Mendelian randomisation analyses 8,20,21 have shown that genetically determined loss of function of PCSK9 is associated with an increased risk of incident diabetes, but clinical trials of PCSK9 inhibitors have shown no such effect.9”
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“Therefore, the clinical benefit of therapies that lower LDL-C by reducing LDL particle mass will be proportional to the absolute reduction in LDLC, because-on average-the reduction in LDL-C and LDL particles will be concordant [34,50,54,55].”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [54]
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Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816
Cholesterol Treatment Trialists' (CTT) Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)61350-5 · Cited by 6,550
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N., & Davey Smith, G. (2008) · Statistics in Medicine · doi:10.1002/sim.3034 · Cited by 4,618
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes
Cannon, C. P., Blazing, M. A., Giugliano, R. P., McCagg, A., White, J. A., Theroux, P., Darius, H., Lewis, B. S., Ophuis, T. O., Jukema, J. W., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1410489 · Cited by 4,487
Self-citationMulti-Ethnic Study of Atherosclerosis: Objectives and Design
Bild, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf113 · Cited by 3,942
Sequence Variations in PCSK9, Low LDL, and Protection against Coronary Heart Disease
Cohen, J. C., Boerwinkle, E., Mosley, T. H., & Hobbs, H. H. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054013 · Cited by 3,181
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
the CARDIoGRAMplusC4D Consortium (2015) · Nature Genetics · doi:10.1038/ng.3396 · Cited by 2,447
Efficacy and Safety of Alirocumab in Reducing Lipids and Cardiovascular Events
Robinson, J. G., Farnier, M., Krempf, M., Bergeron, J., Luc, G., Averna, M., Stroes, E. S., Langslet, G., Raal, F. J., El Shahawy, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501031 · Cited by 2,296
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Cho, K. I., Yu, J., Hayashi, T., Han, S. H., & Koh, K. K. (2019) · Circulation Journal · doi:10.1253/circj.cj-19-0624 · Cited by 39
Natarajan, P., Pampana, A., Graham, S. E., Ruotsalainen, S., Perry, J. A., de Vries, P. S., Broome, J., Pirruccello, J. P., Honigberg, M. C., Aragam, K. G., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22339-1 · Cited by 36
Cholesterol Metabolism in Chronic Kidney Disease: Physiology, Pathologic Mechanisms, and Treatment
Pan, X. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-981-19-0394-6_9 · Cited by 39
Dutka, M., Zimmer, K., Ćwiertnia, M., Ilczak, T. P., & Bobiński, R. (2024) · Heart Failure Reviews · doi:10.1007/s10741-024-10409-7 · Cited by 46
Impact of Obicetrapib on Major Adverse Cardiovascular Events in High-Risk Patients
Nicholls, S. J., Nelson, A. J., Ray, K. K., Ballantyne, C. M., Ditmarsch, M., Kling, D. F., Hsieh, A., Szarek, M. J., Kastelein, J. J. P., & Davidson, M. H. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.07.056 · Cited by 39
Carter, P., Vithayathil, M. K., Kar, S., Potluri, R., Mason, A. M., Larsson, S. C., & Burgess, S. (2020) · eLife · doi:10.7554/elife.57191 · Cited by 38
Harnessing RNA Interference for Cholesterol Lowering: The Bench‐to‐Bedside Story of Inclisiran
Wilkinson, M. J., Bajaj, A., Brousseau, M. E., & Taub, P. R. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.032031 · Cited by 37
Alirocumab for the treatment of hypercholesterolemia
Tomlinson, B., Hu, M., Zhang, Y., Chan, P., & Liu, Z.-M. (2017) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2017.1305354 · Cited by 37
Peyot, M., Roubtsova, A., Lussier, R., Chamberland, A., Essalmani, R., Madiraju, S. R. M., Seidah, N. G., Prentki, M., & Prat, A. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2021.158968 · Cited by 39
Hyperglycaemic disorders associated with PCSK9 inhibitors: a real-world, pharmacovigilance study
Goldman, A., Raschi, E., Cukierman‐Yaffe, T., Dankner, R. S., Shouval, R., Shechter, M., Ben‐Zvi, I., Gerstein, H. C., & Maor, E. (2021) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwab209 · Cited by 38
Chasing LDL cholesterol to the bottom — PCSK9 in perspective
Libby, P., & Tokgözoğlu, L. S. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00085-x · Cited by 41
Contribution of Common Genetic Variants to Risk of Early-Onset Ischemic Stroke
Jaworek, T. J., Xu, H., Gaynor, B. J., Cole, J. W., Rannikmäe, K., Stanne, T. M., Tomppo, L., Abedi, V., Amouyel, P., Armstrong, N. D., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000201006 · Cited by 37
A Genetic Approach to the Association Between PCSK9 and Sepsis
Feng, Q., Wei, W., Chaugai, S., Leon, B. G. C., Kawai, V. K., Leon, D. A. C., Jiang, L., Zhong, X. Y., Liu, G., Ihegword, A., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.11130 · Cited by 35
Evaluation of the Pleiotropic Effects of Statins
Labos, C., Brophy, J. M., Smith, G. D., Sniderman, A. D., & Thanassoulis, G. (2017) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.117.310052 · Cited by 36
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Yeung, S. L. A., Borges, M. C., Wong, T. H. T., Lawlor, D. A., & Schooling, C. M. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac212 · Cited by 35
Baragetti, A., Grejtáková, D., Casula, M., Olmastroni, E., Jotti, G. S., Norata, G. D., Catapano, A. L., & Bellosta, S. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.01.025 · Cited by 35
Self-citationUeng, K., Chiang, C., Chao, T., Wu, Y., Lee, W.-L., Li, Y., Ting, K.-H., Su, C.-H., Lin, H., Su, T., et al. (2023) · PubMed Central · doi:10.6515/acs.202301_39(1).20221103a · Cited by 34
Leiter, L. A., Müller‐Wieland, D., Baccara‐Dinet, M. T., Letierce, A., Samuel, R., & Cariou, B. (2017) · Diabetic Medicine · doi:10.1111/dme.13450 · Cited by 33
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Pancreatic PCSK9 controls the organization of the β-cell secretory pathway via LDLR-cholesterol axis
Marku, A., Dalt, L. D., Galli, A., Dule, N., Corsetto, P. A., Rizzo, A. M., Moregola, A., Uboldi, P., Bonacina, F., Marciani, P., et al. (2022) · Metabolism · doi:10.1016/j.metabol.2022.155291 · Cited by 36
Self-citationStatin use and risk for type 2 diabetes: what clinicians should know
Maki, K. C., Diwadkar‐Navsariwala, V., & Kramer, M. W. (2017) · Postgraduate Medicine · doi:10.1080/00325481.2018.1402658 · Cited by 32
Circulating PCSK9 Level and Risk of Cardiovascular Events and Death in Hemodialysis Patients
Hwang, H. S., Kim, J. S., Kim, Y., Lee, S., Ahn, S. Y., Lee, H. J., Lee, D.-Y., Lee, S. H., Moon, J.-Y., & Jeong, K. H. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9010244 · Cited by 33
Role of PCSK9 Inhibitors in Patients with Familial Hypercholesterolemia
Tomlinson, B., Patil, N. G., Fok, M., & Lam, C. W. K. (2021) · Endocrinology and Metabolism · doi:10.3803/enm.2021.964 · Cited by 35
PCSK9 Inhibitors in the Management of Cardiovascular Risk: A Practical Guidance
Jia, X., Rifai, M. A., Saeed, A., Ballantyne, C. M., & Virani, S. S. (2022) · Vascular Health and Risk Management · doi:10.2147/vhrm.s275739 · Cited by 34
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Masuda, S., Miyagawa, S., & Sawa, Y. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1703361 · Cited by 33
Circulating PCSK9 levels are not associated with the conversion to type 2 diabetes
Ramin‐Mangata, S., Wargny, M., Pichelin, M., May, C. L., Thedrez, A., Blanchard, V., Nativel, B., Santos, R. D., Benseñor, I. M., Lotufo, P. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.11.027 · Cited by 33
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Zhang, L., Omarov, M., Xu, L., deGoma, E. M., Natarajan, P., & Georgakis, M. K. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00700-7 · Cited by 32
Müller‐Wieland, D., Leiter, L. A., Cariou, B., Letierce, A., Colhoun, H. M., Prato, S. D., Henry, R. R., Tinahones, F. J., Aurand, L. A., Maroni, J. M., et al. (2017) · Cardiovascular Diabetology · doi:10.1186/s12933-017-0552-4 · Cited by 30
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Dopheide, J. F., Papac, L., Schindewolf, M., Baumgärtner, I., & Drexel, H. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.02.013 · Cited by 29
Gonna, H., & Ray, K. K. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13691 · Cited by 30
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Pan, W., Sun, W., Yang, S., Zhuang, H., Jiang, H., Ju, H., Wang, D., & Han, Y. (2020) · Aging · doi:10.18632/aging.102763 · Cited by 31
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Musunuru, K. (2020) · Annual Review of Medicine · doi:10.1146/annurev-med-080819-044918 · Cited by 32
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Esper, R. J., & Nordaby, R. A. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0844-y · Cited by 30
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Hu, Q., Hao, P., Liu, Q., Dong, M., Gong, Y., Zhang, C., & Zhang, Y. (2019) · Science China Life Sciences · doi:10.1007/s11427-019-9537-4 · Cited by 30
Gormley, M., Yarmolinsky, J., Dudding, T., Burrows, K., Martin, R. M., Thomas, S. J., Tyrrell, J., Brennan, P., Pring, M., Boccia, S., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009525 · Cited by 32
Ramin‐Mangata, S., Thedrez, A., Nativel, B., Diotel, N., Blanchard, V., Wargny, M., Aguesse, A., Billon‐Crossouard, S., Vindis, C., May, C. L., et al. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.03.044 · Cited by 29
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Mehta, N. N., Dangas, K., Ditmarsch, M., Rensen, P. C. N., Dicklin, M. R., & Kastelein, J. J. P. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106972 · Cited by 28
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Xu, H., Ryan, K. A., Jaworek, T. J., Southam, L., Reid, J. G., Overton, J. D., Baras, A., Puurunen, M. K., Zeggini, E., Taylor, S. I., et al. (2017) · Diabetes · doi:10.2337/db17-0173 · Cited by 28
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Sivashanmugarajah, A. S., Fulcher, J., SULLIVAN, D. R., Elam, M. B., Jenkins, A. J., & KEECH, A. C. (2019) · Internal Medicine Journal · doi:10.1111/imj.14429 · Cited by 26
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Gai, M., Adi, D., Chen, X., Liu, F., Xie, X., Yang, Y., Gao, X., Ma, X., Fu, Z.-Y., Ma, Y.-T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-90975-0 · Cited by 28
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Page, M. M., & Watts, G. F. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13070 · Cited by 27
Smit, R. A. J., Trompet, S., Leong, A., Goodarzi, M. O., Postmus, I., Warren, H. R., Theusch, E., Barnes, M. R., Arsenault, B. J., Li, X., et al. (2019) · The Pharmacogenomics Journal · doi:10.1038/s41397-019-0125-x · Cited by 26
Nakamura, A., Kanazawa, M., Kagaya, Y., Kondo, M., Sato, K., Endo, H., & Nozaki, E. (2020) · Journal of Cardiology · doi:10.1016/j.jjcc.2020.04.006 · Cited by 25
Chiu, S., Pratt, C. M., Feinn, R., & Chatterjee, S. (2020) · Journal of Cardiovascular Pharmacology and Therapeutics · doi:10.1177/1074248420924983 · Cited by 26
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Wang, K., Shi, M., Huang, C., Fan, B., Luk, A. O. Y., Kong, A. P. S., Ronald, C. W., Chan, J. C. N., & Chow, E. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01613-6 · Cited by 25
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Ferri, N., Corsini, A., Sirtori, C. R., & Ruscica, M. (2017) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2017.1279602 · Cited by 24
Liu, G., Shi, M., Mosley, J. D., Weng, C., Zhang, Y., Lee, M. T. M., Jarvik, G. P., Hakonarson, H. H., Namjou‐Khales, B., Abou‐Sleiman, P. M., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.12820 · Cited by 24
Koh, K. K., Sakuma, I., Shimada, K., Hayashi, T., & Quon, M. J. (2016) · Korean Circulation Journal · doi:10.4070/kcj.2016.0406 · Cited by 24
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Iqbal, Z., Dhage, S. S., Mohamad, J. B., Abdel-Razik, A. E. S., Donn, R. P., Malik, R. A., Ho, J. H., Liu, Y., Adam, S., Isa, B., et al. (2019) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2019.1681395 · Cited by 26
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Schunkert, H., Natarajan, P., & Samani, N. J. (2026) · New England Journal of Medicine · doi:10.1056/nejmra2405153 · Cited by 23
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Cho, K. I., Sakuma, I., Sohn, I. S., Hayashi, T., Shimada, K., & Koh, K. K. (2018) · Circulation Journal · doi:10.1253/circj.cj-17-1445 · Cited by 23
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Wu, P., Moon, J., Daghlas, I., Giulianini, F., Porneala, B., Ahmadizar, F., Richardson, T. G., Isaksen, J. L., Hindy, G., Yao, J., et al. (2021) · Diabetes Care · doi:10.2337/dc21-1284 · Cited by 24
Sobczyk, M., Zheng, J., Smith, G. D., & Gaunt, T. R. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-072087 · Cited by 26
Muzammil, K., Hooshiar, M. H., Varmazyar, S., Omar, T. M., Karim, M. M., Aadi, S., Kalavi, S., & Yasamineh, S. (2024) · Microbial Cell Factories · doi:10.1186/s12934-024-02355-8 · Cited by 24
RetractedCyr, Y., Bissonnette, S., Lamantia, V., Wassef, H., Loizon, E., Sock, E. T. N., Vidal, H., Mayer, G., Chrétien, M., & Faraj, M. (2020) · Obesity · doi:10.1002/oby.22985 · Cited by 24
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Faraj, M. (2020) · Journal of Biomedical Research · doi:10.7555/jbr.34.20190124 · Cited by 23
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Lamantia, V., Bissonnette, S., Beaudry, M., Cyr, Y., Rosiers, C. D., Baass, A. W., & Faraj, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-73672-6 · Cited by 24
Chen, Q., Wu, G., Li, C., Qin, X., Liu, R., & Zhang, M. (2019) · American Journal of Cardiovascular Drugs · doi:10.1007/s40256-019-00386-w · Cited by 22
Ali, L., Cupido, A. J., Rijkers, M., Hovingh, G. K., Holleboom, A. G., Dallinga‐Thie, G. M., Stroes, E. S. G., & van den Boogert, M. A. W. (2020) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2020.07.001 · Cited by 21
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Metadata
- Authors
- Ference, B. A., Robinson, J. G., Brook, R. D., Catapano, A. L., Chapman, M. J., Neff, D. R., Voros, S., Giugliano, R. P., Davey Smith, G., Fazio, S., & Sabatine, M. S.
- Affiliations
- University of Iowa (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2016-12
- Volume
- 375
- Issue
- 22
- Pages
- 2144-2153
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2557654447
- Cited by
- 743
- References
- 39
- Citations by year
- 2026: 38 · 2025: 55 · 2024: 77 · 2023: 64 · 2022: 74 · 2021: 76 · 2020: 75 · 2019: 86 · 2018: 97 · 2017: 92 · 2016: 8
- FWCI
- 104.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (submittedVersion, other-oa)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Bristol Research (University of Bristol) (submittedVersion, other-oa)
- Funders
- National Heart, Lung, and Blood Institute
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Paraoxonase enzyme and polymorphisms
- Keywords
- PCSK9, HMGCR, LDL cholesterol, cardiovascular disease, diabetes mellitus, genetic variants, PCSK9 inhibitors, statins, genetic score, impaired fasting glucose, additive genetic effects, cardiovascular risk prediction, LDL-C lowering therapy, HMG-CoA reductase inhibition, cardiovascular events, diabetes risk
- MeSH terms
- Proprotein Convertase 9, Cardiovascular Diseases, Diabetes Mellitus, Female, Humans, Hydroxymethylglutaryl CoA Reductases, Cholesterol, LDL, Male, Middle Aged, Random Allocation, Risk, Genetic Variation, Genetic Predisposition to Disease
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