The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
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.).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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.”
In the citing paper
“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”
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Self-citationNew genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166
Collaborators, C. T. T. (. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60104-x · Cited by 2,081
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912
Cardia: study design, recruitment, and some characteristics of the examined subjects
FRIEDMAN, G. D., Cutter, G., Donahue, R. P., Hughes, G. H., Hulley, S. B., Jacobs, D. R., Liu, K., & Savage, P. J. (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90080-7 · Cited by 1,689
AN INVESTIGATION OF CORONARY HEART DISEASE IN FAMILIES
Kannel, W. B., Feinleib, M., McNAMARA, P. M., Garrison, R. J., & Castelli, W. P. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112813 · Cited by 1,639
Large-scale association analysis identifies new risk loci for coronary artery disease
The CARDIoGRAMplusC4D Consortium, Deloukas, P., DIAGRAM Consortium, CARDIOGENICS Consortium, MuTHER Consortium, Wellcome Trust Case Control Consortium, Kanoni, S., Willenborg, C., Farrall, M., Assimes, T. L., et al. (2013) · Nature Genetics · doi:10.1038/ng.2480 · Cited by 1,614
Efficacy and Safety of Evolocumab in Reducing Lipids and Cardiovascular Events
Sabatine, M. S., Giugliano, R. P., Wiviott, S. D., Raal, F. J., Blom, D. J., Robinson, J., Ballantyne, C. M., Somaratne, R., Legg, J., Wasserman, S. M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500858 · Cited by 1,509
Self-citationCohen, J., Pertsemlidis, A., Kotowski, I. K., Graham, R., Garcia, C. K., & Hobbs, H. H. (2005) · Nature Genetics · doi:10.1038/ng1509 · Cited by 1,381
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R. E., Pulit, S. L., Nizzari, M. M., O’Donnell, C. J., & de Bakker, P. I. W. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn564 · Cited by 1,339
A general cardiovascular risk profile: The Framingham study
Kannel, W. B., McGee, D., & Gordon, T. (1976) · The American Journal of Cardiology · doi:10.1016/0002-9149(76)90061-8 · Cited by 1,189
The NCBI dbGaP database of genotypes and phenotypes
Mailman, M. D., Feolo, M., Jin, Y., Kimura, M., Tryka, K. A., Bagoutdinov, R., Hao, L., Kiang, A., Paschall, J. E., Phan, L. D., et al. (2007) · Nature Genetics · doi:10.1038/ng1007-1181 · Cited by 1,100
Ference, B. A., Yoo, W., Alesh, I., Mahajan, N., Mirowska, K. K., Mewada, A., Kahn, J., Afonso, L., Williams, K. A., & Flack, J. M. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.09.017 · Cited by 898
Self-citationScott, R. A., Lagou, V., Welch, R., Wheeler, E., Montasser, M. E., Luan, J., Mägi, R., Strawbridge, R. J., Rehnberg, E., Gustafsson, S., et al. (2012) · Nature Genetics · doi:10.1038/ng.2385 · Cited by 831
Ridker, P. M., Pradhan, A., MacFadyen, J. G., Libby, P., & Glynn, R. J. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61190-8 · Cited by 816
A 52-Week Placebo-Controlled Trial of Evolocumab in Hyperlipidemia
Blom, D. J., Hala, T., Bolognese, M., Lillestol, M. J., Toth, P. D., Burgess, L., Ceska, R., Roth, E., Koren, M. J., Ballantyne, C. M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1316222 · Cited by 720
Swerdlow, D. I., Preiss, D., Kuchenbaecker, K. B., Holmes, M. V., Engmann, J. E. L., Shah, T., Sofat, R., Stender, S., Johnson, P. C. D., Scott, R. A., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61183-1 · Cited by 680
Self-citationRobinson, J. G., Nedergaard, B. S., Rogers, W. J., Fialkow, J., Neutel, J. M., Ramstad, D., Somaratne, R., Legg, J. C., Nelson, P., Scott, R., et al. (2014) · JAMA · doi:10.1001/jama.2014.4030 · Cited by 496
Self-citationAtorvastatin with or without an Antibody to PCSK9 in Primary Hypercholesterolemia
Roth, E. M., McKenney, J. M., Hanotin, C., Asset, G., & Stein, E. A. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1201832 · Cited by 462
Giugliano, R. P., Desai, N. R., Kohli, P., Rogers, W. J., Somaratne, R. M., Huang, F., Liu, T., Mohanavelu, S., Hoffman, E. B., McDonald, S. T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61770-x · Cited by 428
Self-citationAnti-PCSK9 Monotherapy for Hypercholesterolemia
Koren, M. J., Lundqvist, P., Bolognese, M., Neutel, J. M., Monsalvo, M. L., Yang, J., Kim, J. B., Scott, R., Wasserman, S. M., & Bays, H. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.03.018 · Cited by 411
Schwartz, G. G., Bessac, L., Berdan, L. G., Bhatt, D. L., Bittner, V., Diaz, R., Goodman, S. G., Hanotin, C., Harrington, R. A., Jukema, J. W., et al. (2014) · American Heart Journal · doi:10.1016/j.ahj.2014.07.028 · Cited by 408
Ference, B. A., Majeed, F., Penumetcha, R., Flack, J. M., & Brook, R. D. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.02.020 · Cited by 407
Self-citationCannon, C. P., Cariou, B., Blom, D. J., McKenney, J. M., Lorenzato, C., Pordy, R. C., Chaudhari, U., & Colhoun, H. M. (2015) · European Heart Journal · doi:10.1093/eurheartj/ehv028 · Cited by 404
Association Between Familial Hypercholesterolemia and Prevalence of Type 2 Diabetes Mellitus
Besseling, J., Kastelein, J. J. P., Defesche, J. C., Hutten, B. A., & Hovingh, G. K. (2015) · JAMA · doi:10.1001/jama.2015.1206 · Cited by 391
Kereiakes, D. J., Robinson, J. G., Cannon, C. P., Lorenzato, C., Pordy, R., Chaudhari, U., & Colhoun, H. M. (2015) · American Heart Journal · doi:10.1016/j.ahj.2015.03.004 · Cited by 349
Self-citationHingorani, A. D., & Humphries, S. E. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67767-7 · Cited by 277
Koren, M. J., Giugliano, R. P., Raal, F. J., SULLIVAN, D. R., Bolognese, M. A., Langslet, G., Civeira, F., Somaratne, R. M., Nelson, P., Liu, T., et al. (2013) · Circulation · doi:10.1161/circulationaha.113.007012 · Cited by 218
Self-citationTavori, H., Fan, D., Blakemore, J. L., Yancey, P. G., Ding, L., Linton, M. F., & Fazio, S. (2013) · Circulation · doi:10.1161/circulationaha.113.001592 · Cited by 178
Self-citationSabatine, M. S., Giugliano, R. P., Keech, A., Honarpour, N., Wang, H., Liu, T., Wasserman, S. M., Scott, R., Sever, P. S., & Pedersen, T. R. (2016) · American Heart Journal · doi:10.1016/j.ahj.2015.11.015 · Cited by 176
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease
Sabatine, M. S., Giugliano, R. P., Keech, A. C., Honarpour, N., Wiviott, S. D., Murphy, S. A., Kuder, J. F., Wang, H., Liu, T., Wasserman, S. M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1615664 · Cited by 6,138
Self-citationMach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854
Self-citationFerence, B. A., Ginsberg, H. N., Graham, I., Ray, K. K., Packard, C. J., Bruckert, E., Hegele, R. A., Krauss, R. M., Raal, F. J., Schunkert, H., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx144 · Cited by 3,962
Self-citationGuidelines for performing Mendelian randomization investigations
Burgess, S., Davey Smith, G., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Holmes, M. V., Minelli, C., Relton, C. L., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15555.2 · Cited by 1,273
Self-citationRecent Developments in Mendelian Randomization Studies
Zheng, J., Baird, D. A., Borges, M. C., Bowden, J., Hemani, G., Haycock, P., Evans, D. M., & Smith, G. D. (2017) · Current Epidemiology Reports · doi:10.1007/s40471-017-0128-6 · Cited by 1,147
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review