Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition
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Abstract
Cholesteryl ester transfer protein (CETP) inhibition reduces vascular event risk, but confusion surrounds its effects on low-density lipoprotein (LDL) cholesterol. Here, we clarify associations of genetic inhibition of CETP on detailed lipoprotein measures and compare those to genetic inhibition of 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR). We used an allele associated with lower CETP expression (rs247617) to mimic CETP inhibition and an allele associated with lower HMGCR expression (rs12916) to mimic the well-known effects of statins for comparison. The study consists of 65,427 participants of European ancestries with detailed lipoprotein subclass profiling from nuclear magnetic resonance spectroscopy. Genetic associations were scaled to 10% reduction in relative risk of coronary heart disease (CHD). We also examined observational associations of the lipoprotein subclass measures with risk of incident CHD in 3 population-based cohorts totalling 616 incident cases and 13,564 controls during 8-year follow-up. Genetic inhibition of CETP and HMGCR resulted in near-identical associations with LDL cholesterol concentration estimated by the Friedewald equation. Inhibition of HMGCR had relatively consistent associations on lower cholesterol concentrations across all apolipoprotein B-containing lipoproteins. In contrast, the associations of the inhibition of CETP were stronger on lower remnant and very-low-density lipoprotein (VLDL) cholesterol, but there were no associations on cholesterol concentrations in LDL defined by particle size (diameter 18-26 nm) (-0.02 SD LDL defined by particle size; 95% CI: -0.10 to 0.05 for CETP versus -0.24 SD, 95% CI -0.30 to -0.18 for HMGCR). Inhibition of CETP was strongly associated with lower proportion of triglycerides in all high-density lipoprotein (HDL) particles. In observational analyses, a higher triglyceride composition within HDL subclasses was associated with higher risk of CHD, independently of total cholesterol and triglycerides (strongest hazard ratio per 1 SD higher triglyceride composition in very large HDL 1.35; 95% CI: 1.18-1.54). In conclusion, CETP inhibition does not appear to affect size-specific LDL cholesterol but is likely to lower CHD risk by lowering concentrations of other atherogenic, apolipoprotein B-containing lipoproteins (such as remnant and VLDLs). Inhibition of CETP also lowers triglyceride composition in HDL particles, a phenomenon reflecting combined effects of circulating HDL, triglycerides, and apolipoprotein B-containing particles and is associated with a lower CHD risk in observational analyses. Our results reveal that conventional composite lipid assays may mask heterogeneous effects of emerging lipid-altering therapies.
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Earlier CETP inhibitors (e.g. dalcetrapib) increased HDL-C but had little or no effect on LDL-C or apoB.
“earlier CETP inhibitors (e.g. dalcetrapib 76 ) that increased HDL-C but had little or no effect on LDL-C or apoB.”
From Integrating genomics with biomarkers and therapeutic targets to invigorate cardiovascular drug development (2021) · cites this paper as [76]
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Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423 · see citing works
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 · cited 1× · see citing works
“, statins, and proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors [2], both of which up-regulate hepatic LDL receptor expression, and for drugs acting on other pathways, such as ezetimibe [3], which inhibits intestinal absorption of cholesterol [4].”
BackgroundEzetimibe 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 · see citing works
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
Self-citationA 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 · see citing works
Effects of dalcetrapib in patients with a recent acute coronary syndrome
Schwartz, G. G., Olsson, A. G., Abt, M., Ballantyne, C. M., Barter, P. J., Brumm, J., Chaitman, B. R., Holme, I. M., Kallend, D., Leiter, L. A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206797 · Cited by 2,022 · see citing works
Interpretation of the evidence for the efficacy and safety of statin therapy
Collins, R., Reith, C., Emberson, J., Armitage, J., Baigent, C., Blackwell, L., Blumenthal, R., Danesh, J., Smith, G. D., DeMets, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31357-5 · Cited by 1,857 · see citing works
Self-citationEffects of extended-release niacin with laropiprant in high-risk patients
The HPS2-THRIVE Collaborative Group (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1300955 · Cited by 1,668 · see citing works
Structural mechanism for statin inhibition of HMG-CoA reductase
Istvan, E. S., & Deisenhofer, J. (2001) · Science · doi:10.1126/science.1059344 · Cited by 1,644 · see citing works
Silverman, M. G., Ference, B. A., Im, K., Wiviott, S. D., Giugliano, R. P., Grundy, S. M., Braunwald, E., & Sabatine, M. S. (2016) · JAMA · doi:10.1001/jama.2016.13985 · Cited by 1,483 · cited 1× · see citing works
“, statins, and proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors [2], both of which up-regulate hepatic LDL receptor expression, and for drugs acting on other pathways, such as ezetimibe [3], which inhibits intestinal absorption of cholesterol [4].”
BackgroundEffects of anacetrapib in patients with atherosclerotic vascular disease
The HPS3/TIMI55–REVEAL Collaborative Group (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1706444 · Cited by 1,047 · see citing works
Soininen, P., Kangas, A. J., Würtz, P., Suna, T., & Ala‐Korpela, M. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000216 · Cited by 890 · see citing works
Self-citationMartin, S. S., Blaha, M. J., Elshazly, M. B., Toth, P. P., Kwiterovich, P. O., Blumenthal, R. S., & Jones, S. R. (2013) · JAMA · doi:10.1001/jama.2013.280532 · Cited by 883 · see citing works
Common variants associated with plasma triglycerides and risk for coronary artery disease
Do, R., Willer, C. J., Schmidt, E. M., Sengupta, S., Gao, C., Peloso, G. M., Gustafsson, S., Kanoni, S., Ganna, A., Chen, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2795 · Cited by 862 · see citing works
Self-citationEvacetrapib and cardiovascular outcomes in high-risk vascular disease
Lincoff, A. M., Nicholls, S. J., Riesmeyer, J. S., Barter, P. J., Brewer, H. B., Fox, K. A. A., Gibson, C. M., Granger, C., Menon, V., Montalescot, G., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1609581 · Cited by 801 · see citing works
Cohort Profile: The Cardiovascular Risk in Young Finns Study
Raitakari, O. T., Juonala, M., Rönnemaa, T., Keltikangas‐Järvinen, L., Räsänen, L., Pietikainen, M., Hutri‐Kähönen, N., Taittonen, L. M., Jokinen, E. V., Marniemi, J., et al. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dym225 · Cited by 754 · see citing works
Self-citationMendelian randomization of blood lipids for coronary heart disease
Holmes, M. V., Asselbergs, F. W., Palmer, T. M., Drenos, F., Lanktree, M. B., Nelson, C. P., Dale, C. E., Padmanabhan, S., Finan, C., Swerdlow, D. I., et al. (2015) · European Heart Journal · doi:10.1093/eurheartj/eht571 · Cited by 748 · see citing works
Self-citationKettunen, J., Demirkan, A., Würtz, P., Draisma, H. H. M., Haller, T., Rawal, R., Vaarhorst, A., Kangas, A. J., Lyytikäinen, L.-P., Pirinen, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms11122 · Cited by 738 · see citing works
Self-citationGenome-wide association analysis of metabolic traits in a birth cohort from a founder population
Sabatti, C., Service, S. K., Hartikainen, A., Pouta, A. M., Ripatti, S., Brodsky, J. F., Jones, C. G., Zaitlen, N., Varilo, T., Kaakinen, M., et al. (2008) · Nature Genetics · doi:10.1038/ng.271 · Cited by 721 · see citing works
Self-citationSwerdlow, 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 · see citing works
Self-citationMetabolite Profiling and Cardiovascular Event Risk
Würtz, P., Havulinna, A. S., Soininen, P., Tynkkynen, T., Prieto‐Merino, D., Tillin, T., Ghorbani, A., Artati, A., Wang, Q., Tiainen, M., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.013116 · Cited by 667 · see citing works
Self-citationWürtz, P., Kangas, A. J., Soininen, P., Lawlor, D. A., Smith, G. D., & Ala‐Korpela, M. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx016 · Cited by 660 · see citing works
Self-citationHigh-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
Soininen, P., Kangas, A. J., Würtz, P., Tukiainen, T., Tynkkynen, T., Laatikainen, R., Järvelin, M., Kähönen, M. A. P., Lehtimäki, T. J., Viikari, J. S. A., et al. (2009) · The Analyst · doi:10.1039/b910205a · Cited by 591 · see citing works
Self-citationA comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Nikpay, M., Goel, A., Won, H., Hall, L. M., Willenborg, C., Kanoni, S., Saleheen, D., Kyriakou, T., Nelson, C. P., Hopewell, J. C., et al. (2015) · EUR Research Repository (Erasmus University Rotterdam) · Cited by 581 · see citing works
Self-citationGenome-wide association study identifies multiple loci influencing human serum metabolite levels
Kettunen, J., Tukiainen, T., Sarin, A.-P., Ortega-Alonso, A., Tikkanen, E., Lyytikäinen, L.-P., Kangas, A. J., Soininen, P., Würtz, P., Silander, K., et al. (2012) · Nature Genetics · doi:10.1038/ng.1073 · Cited by 553 · see citing works
Self-citationAntisense Inhibition of Apolipoprotein C-III in Patients with Hypertriglyceridemia
Gaudet, D., Alexander, V. J., Baker, B. F., Brisson, D., Tremblay, K., Singleton, W., Geary, R. S., Hughes, S. G., Viney, N. J., Graham, M. J., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1400283 · Cited by 528 · see citing works
Thompson, A. (2008) · JAMA · doi:10.1001/jama.299.23.2777 · Cited by 494 · see citing works
Nauck, M., Warnick, G. R., & Rifai, N. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.2.236 · Cited by 442 · see citing works
Ference, B. A., Kastelein, J. J. P., Ginsberg, H. N., Chapman, M. J., Nicholls, S. J., Ray, K. K., Packard, C. J., Laufs, U., Brook, R. D., Oliver-Williams, C., et al. (2017) · JAMA · doi:10.1001/jama.2017.11467 · Cited by 304 · see citing works
Self-citationAssociation of Lipid Fractions With Risks for Coronary Artery Disease and Diabetes
White, J., Swerdlow, D. I., Preiss, D., Fairhurst-Hunter, Z., Keating, B. J., Asselbergs, F. W., Sattar, N., Humphries, S. E., Hingorani, A. D., & Holmes, M. V. (2016) · JAMA Cardiology · doi:10.1001/jamacardio.2016.1884 · Cited by 293 · see citing works
Self-citationTillin, T., Hughes, A. D., Mayet, J., Whincup, P. H., Sattar, N. A., Forouhi, N. G., McKeigue, P., & Chaturvedi, N. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.12.046 · Cited by 274 · see citing works
Self-citationThe Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works
Metabonomic, transcriptomic, and genomic variation of a population cohort
Inouye, M., Kettunen, J., Soininen, P., Silander, K., Ripatti, S., Kumpula, L. S., Hämäläinen, E., Jousilahti, P., Kangas, A. J., Männistö, S., et al. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.93 · Cited by 247 · see citing works
Self-citationWebb, T. R., Erdmann, J., Stirrups, K. E., Stitziel, N. O., Masca, N. G. D., Jansen, H., Kanoni, S., Nelson, C. P., Ferrario, P. G., König, I. R., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.11.056 · Cited by 246 · see citing works
Self-citationLabour induction policy in hospitals of different levels of specialisation
Järvelin, M., Hartikainen‐Sorri, A., & Rantakallio, P. T. (1993) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1993.tb12971.x · Cited by 235 · see citing works
Self-citationForty-year trends in cardiovascular risk factors in Finland
Borodulin, K., Vartiainen, E. A., Peltonen, M., Jousilahti, P., Juolevi, A., Laatikainen, T. K., Männistö, S., Salomaa, V. V., Sundvall, J., & Puska, P. (2014) · European Journal of Public Health · doi:10.1093/eurpub/cku174 · Cited by 229 · see citing works
Self-citationKonttinen, H., Silventoinen, K., Sarlio-Lähteenkorva, S., Männistö, S., & Haukkala, A. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29732 · Cited by 189 · see citing works
Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase
Würtz, P., Wang, Q., Soininen, P., Kangas, A. J., Fatemifar, G., Tynkkynen, T., Tiainen, M., Perola, M., Tillin, T., Hughes, A. D., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.12.060 · Cited by 188 · see citing works
Self-citationBarter, P. J., & Kastelein, J. J. P. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.09.042 · Cited by 169 · see citing works
Tillin, T., Forouhi, N. G., McKeigue, P. M., & Chaturvedi, N. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyq175 · Cited by 160 · see citing works
Self-citationPlasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study
Voight, B. F., Peloso, G. M., Orho-Melander, M., Frikke-Schmidt, R., Barbalic, M., Jensen, M. K., Hindy, G., Hólm, H., Ding, E. L., Johnson, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60312-2 · Cited by 148 · see citing works
Self-citationMoore, C. S., Sambrook, J., Walker, M. R., Tolkien, Z., Kaptoge, S. K., Allen, D., Mehenny, S., Mant, J., Angelantonio, E. D., Thompson, S. G., et al. (2014) · Trials · doi:10.1186/1745-6215-15-363 · Cited by 145 · see citing works
Self-citationVarbo, A., & Nordestgaard, B. G. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000429 · Cited by 135 · see citing works
Wang, J., Stančáková, A., Soininen, P., Kangas, A. J., Paananen, J., Kuusisto, J., Ala‐Korpela, M., & Laakso, M. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02562.x · Cited by 107 · see citing works
Self-citationEffects of orientational order and particle size on the NMR line positions of lipoproteins
Lounila, J., Ala‐Korpela, M., Jokisaari, J. P., Savolainen, M. J., & Kesäniemi, Y. A. (1994) · Physical Review Letters · doi:10.1103/physrevlett.72.4049 · Cited by 101 · see citing works
Self-citationDetailed metabolic and genetic characterization reveals new associations for 30 known lipid loci
Tukiainen, T., Kettunen, J., Kangas, A. J., Lyytikäinen, L., Soininen, P., Sarin, A., Tikkanen, E., O’Reilly, P. F., Savolainen, M. J., Kaski, K. K., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr581 · Cited by 90 · see citing works
Self-citationReconsideration of hydrophobic lipid distributions in lipoprotein particles
Kumpula, L. S., Kumpula, J. M., Taskinen, M., Jauhiainen, M., Kaski, K. K., & Ala‐Korpela, M. (2008) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2008.06.003 · Cited by 58 · see citing works
Self-citationRevealing the effect of CETP inhibition in cardiovascular disease
Holmes, M. V., & Smith, G. D. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.156 · Cited by 56 · see citing works
Self-citationNiemi, J., Mäkinen, V., Heikkonen, J., Tenkanen, L., Hiltunen, Y., Hannuksela, M. L., Jauhiainen, M., Forsblom, C. M., Taskinen, M., Kesäniemi, Y. A., et al. (2009) · Annals of Medicine · doi:10.1080/07853890902893392 · Cited by 39 · see citing works
Self-citationMendelian randomization reveals unexpected effects of CETP on the lipoprotein profile
Blauw, L. L., Noordam, R., Soidinsalo, S., Blauw, C. A., Li‐Gao, R., de Mutsert, R., Berbée, J. F. P., Wang, Y., van Heemst, D., Rosendaal, F. R., et al. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-018-0301-5 · Cited by 38 · see citing works
Drenos, F., Smith, G. D., Ala‐Korpela, M., Kettunen, J., Würtz, P., Soininen, P., Kangas, A. J., Dale, C. E., Lawlor, D. A., Gaunt, T. R., et al. (2016) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.115.001302 · Cited by 26 · see citing works
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Richardson, T. G., Leyden, G. M., Wang, Q., Bell, J. A., Elsworth, B., Davey Smith, G., & Holmes, M. V. (2022) · PLOS Biology · doi:10.1371/journal.pbio.3001547 · Cited by 304 · see citing works
Self-citationHolmes, M. V., Richardson, T. G., Ference, B. A., Davies, N. M., & Davey Smith, G. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-020-00493-1 · Cited by 184 · see citing works
Self-citationCholesteryl ester transfer protein (CETP) as a drug target for cardiovascular disease
Schmidt, A. F., Hunt, N. B., Gordillo‐Marañón, M., Charoen, P., Drenos, F., Casas, J. P., Mika Kivimaki, B., Lawlor, D. A., Giambartolomei, C., Papacosta, O., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25703-3 · Cited by 145 · see citing works
Self-citationDNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Clinical Epigenetics · doi:10.1186/s13148-020-00957-8 · Cited by 86 · see citing works
Self-citationHolmes, M. V., & Ala‐Korpela, M. (2019) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0157-6 · Cited by 61 · see citing works
Self-citationChen, J., Kuang, J., Tang, X., Mao, L., Guo, X., Luo, Q., Peng, D., & Yu, B. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01311-w · Cited by 58 · see citing works
Ala‐Korpela, M., Zhao, S., Järvelin, M., Mäkinen, V., & Ohukainen, P. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab156 · Cited by 57 · see citing works
Self-citationAla‐Korpela, M. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz068 · Cited by 54 · see citing works
Self-citationSniderman, A. D., Langlois, M., & Cobbaert, C. M. (2021) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000754 · Cited by 49 · see citing works
Menopause modulates the circulating metabolome: evidence from a prospective cohort study
Karppinen, J. E., Törmäkangas, T., Kujala, U. M., Sipilä, S., Laukkanen, J. A., Aukee, P., Kovanen, V., & Laakkonen, E. K. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac060 · Cited by 42 · see citing works
Cholesteryl Ester Transfer Protein and Lipid Metabolism and Cardiovascular Diseases
Oliveira, H. C. F., & Raposo, H. F. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-6082-8_2 · Cited by 24 · see citing works
Apolipoprotein B: the Rosetta Stone of lipidology
Glavinovic, T., & Sniderman, A. D. (2020) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000596 · Cited by 22 · see citing works
A phenome-wide association study of genetically mimicked statins
Li, S., & Schooling, C. M. (2021) · BMC Medicine · doi:10.1186/s12916-021-02013-5 · Cited by 20 · see citing works
Effect of NPC1L1 and HMGCR Genetic Variants With Premature Triple-Vessel Coronary Disease
Zhao, X., Xu, J., Tang, X., Huang, K., Li, J., Liu, R., Jiang, L., Zhang, Y., Wang, D., Sun, K., et al. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.704501 · Cited by 11 · see citing works
Jayaraman, S., Pérez, A., Miñambres, I., Sánchez‐Quesada, J. L., & Gursky, O. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2021.159064 · Cited by 10 · see citing works
Fogacci, F., Borghi, C., & Cicero, A. F. G. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac015 · Cited by 10 · see citing works
Zhao, S., Giles, C., Huynh, K., Kettunen, J., Järvelin, M., Kähönen, M. A. P., Viikari, J., Lehtimäki, T. J., Raitakari, O. T., Meikle, P. J., et al. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c03229 · Cited by 8 · see citing works
Self-citationVexed causal inferences in nutritional epidemiology—call for genetic help
Ohukainen, P., Virtanen, J. K., & Ala‐Korpela, M. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab152 · Cited by 8 · see citing works
Self-citationKo, Y., Ryu, Y., Han, S.-J., Park, H. J., Choi, M., Kim, B. C., Jeong, H., Jang, S., Jo, J., Lee, S., et al. (2024) · Molecular Medicine · doi:10.1186/s10020-024-01040-1 · Cited by 7 · see citing works
Li, J., Tang, X., Xu, J., Liu, R., Jiang, L., Xu, L., Tian, J., Feng, X., Wu, Y., Zhang, Y., et al. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03285-w · Cited by 5 · see citing works
Genome-wide Association Study of Lipid Traits in Youth With Type 2 Diabetes
Santoro, N., Chen, L., Todd, J. N., Divers, J., SHAH, A. S., Gidding, S. S., Burke, B. K., Haymond, M. W., Lange, L. A., Marcovina, S. M., et al. (2021) · Journal of the Endocrine Society · doi:10.1210/jendso/bvab139 · Cited by 4 · see citing works
Zhang, X., Rimbert, A., Balder, W., Zwinderman, A. H., Kuivenhoven, J. A., Dallinga‐Thie, G. M., & Groen, A. K. (2018) · Journal of Lipid Research · doi:10.1194/jlr.m088930 · Cited by 3 · see citing works
Valeanu, A., Margina, D. M., Weber, D., Stuetz, W., Moreno‐Villanueva, M., Dollé, M. E. T., Jansen, E. H. J. M., Gonos, E. S., Bernhardt, J. H., Grubeck‐Loebenstein, B., et al. (2024) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2024.111987 · Cited by 3 · see citing works
Commentary: Big data bring big controversies: HDL cholesterol and mortality
Ala‐Korpela, M., Kuusisto, S. M., & Holmes, M. V. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab016 · Cited by 3 · see citing works
Self-citationCai, Y., Hao, B., Chen, J., Li, Y., & Liu, H. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.867646 · Cited by 2 · see citing works
Study of effect modifiers of genetically predicted CETP reduction
Legault, M., Barhdadi, A., Gamache, I., Lemaçon, A., Perreault, L. L., Grenier, J., Sylvestre, M., Hussin, J., Rhainds, D., Tardif, J., et al. (2023) · Genetic Epidemiology · doi:10.1002/gepi.22514 · Cited by 2 · see citing works
Understanding lipidomics associations and the lipoprotein-related caveats in population epidemiology
Zhao, S., Ohukainen, P., Kettunen, J., Järvelin, M., Kähönen, M. A. P., Lehtimäki, T. J., Viikari, J., Raitakari, O. T., Mäkinen, V., & Ala‐Korpela, M. (2024) · American Journal of Epidemiology · doi:10.1093/aje/kwae445 · Cited by 2 · see citing works
Self-citationLi, Y., Li, J., Tang, X., Xu, J., Liu, R., Jiang, L., Tian, J., Zhang, Y., Wang, D., Sun, K., et al. (2024) · BMC Medical Genomics · doi:10.1186/s12920-024-01802-0 · Cited by 2 · see citing works
Lipoprotein profile and metabolic fine-mapping of genetic lipid risk lociPreprint
Suhre, K., AL-Ishaq, R. K., Belkadi, A., Habib, T., Halama, A., Stephan, N., Thareja, G., Zaghlool, S. B., Fauman, E. B., & Najafi-Shoushtari, S. H. (2022) · medRxiv · doi:10.1101/2022.06.12.22276286 · Cited by 2 · see citing works
Förster, F., Horn, K., Pott, J., Delgado, G. E., Kleber, M. E., März, W., Moissl, A. P., Silbernagel, G., Waldenberger, M., Grallert, H., et al. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106144 · Cited by 1 · see citing works
Self-citationLuo, S., Ai, Y., Burgess, S., Yeung, S. L. A., & Ala‐Korpela, M. (2026) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2026.120815 · Cited by 1 · see citing works
Self-citationKettunen, J., Holmes, M. V., Allara, E., Anufrieva, O., Ohukainen, P., Oliver‐Williams, C., Wang, Q., Tillin, T., Hughes, A. D., Kähönen, M. A. P., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000694 · Cited by 1 · see citing works
Self-citationLevels of cholesteryl ester transfer protein in female bean cake fryers in Nnewi metropolis
Manafa, P., Daniel-Ogheneke, L. U., Ukibe, N. R., Ekuma-Okereke, O., Ibeh, C. N., Chukwuanukwu, C. R., Onah, E. C., Ogbuowelu, O. S., Nwene, E. K., Manafa, I. V., et al. (2020) · The Journal of Medical Research · doi:10.31254/jmr.2020.6208
Morovvati, S., Koohbanani, N. K., Far, I. S., & Karami, F. (2020) · International journal of basic science in medicine · doi:10.34172/ijbsm.2020.17
Cai, Y., Hao, B., Chen, J., Li, Y., & Liu, H. (2021) · Research Square · doi:10.21203/rs.3.rs-868543/v1
Bayesian LASSO for population stratification correction in rare haplotype association studies
Liu, Z., Turkmen, A., & Lin, S. (2024) · Statistical Applications in Genetics and Molecular Biology · doi:10.1515/sagmb-2022-0034
Additional file 13 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545077
Self-citationAdditional file 5 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545113
Self-citationAdditional file 10 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545068
Self-citationAdditional file 19 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545095
Self-citationAdditional file 9 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545125
Self-citationAdditional file 1 of A phenome-wide association study of genetically mimicked statins
Li, S., & Schooling, C. M. (2021) · Figshare · doi:10.6084/m9.figshare.14880632
Additional file 17 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545089
Self-citationAdditional file 1 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545098
Self-citationAdditional file 15 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545083
Self-citationAdditional file 16 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545086
Self-citationAdditional file 14 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545080
Self-citationAdditional file 2 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545104
Self-citationAdditional file 3 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545107
Self-citationAdditional file 11 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545071
Self-citationAdditional file 12 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545074
Self-citationLi, Y., Li, J., Tang, X., Xu, J., Liu, R., Jiang, L., Tian, J., Zhang, Y., Wang, D., Sun, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26668824
Additional file 6 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545116
Self-citationAdditional file 8 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545122
Self-citationChen, J., Kuang, J., Tang, X., Mao, L., Guo, X., Luo, Q., Peng, D., & Yu, B. Q. (2020) · Figshare · doi:10.6084/m9.figshare.12462806
Additional file 7 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545119
Self-citationAdditional file 4 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545110
Self-citationLi, J., Tang, X., Xu, J., Liu, R., Jiang, L., Xu, L., Tian, J., Feng, X., Wu, Y., Zhang, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23575551
Li, J., Tang, X., Xu, J., Liu, R., Jiang, L., Xu, L., Tian, J., Feng, X., Wu, Y., Zhang, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23575548
Additional file 18 of DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures
Gomez-Alonso, M. D. C., Kretschmer, A., Wilson, R., Pfeiffer, L., Karhunen, V., Seppälä, I., Zhang, W., Mittelstraß, K., Wahl, S., Matías‐García, P. R., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13545092
Self-citationAdditional file 2 of A phenome-wide association study of genetically mimicked statins
Li, S., & Schooling, C. M. (2021) · Figshare · doi:10.6084/m9.figshare.14880635
Li, Y., Li, J., Tang, X., Xu, J., Liu, R., Jiang, L., Tian, J., Zhang, Y., Wang, D., Sun, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26668821
- Authors
- Kettunen, J., Holmes, M. V., Allara, E., Anufrieva, O., Ohukainen, P., Oliver-Williams, C., Wang, Q., Tillin, T., Hughes, A. D., Kähönen, M., Lehtimäki, T., Viikari, J., Raitakari, O. T., Salomaa, V., Järvelin, M.-R., Perola, M., Davey Smith, G., Chaturvedi, N., Danesh, J., Di Angelantonio, E., Butterworth, A. S., & Ala-Korpela, M.
- Affiliations
- Finnish Institute for Health and Welfare (FI)
- National Institute for Health and Care Research (GB)
- University of Cambridge (GB)
- University of Oulu (FI)
- University College London (GB)
- Tampere University Hospital (FI)
- Tampere University (FI)
- University of Turku (FI)
- Oulu University Hospital (FI)
- University of Helsinki (FI)
- ORCID
- Kettunen, Johannes
- Holmes, Michael V.
- Allara, Elias
- Ohukainen, Pauli
- Oliver-Williams, Clare
- Wang, Qin
- Tillin, Therese
- Hughes, Alun D.
- Kähönen, Mika
- Lehtimäki, Terho
- Viikari, Jorma
- Raitakari, Olli T.
- Salomaa, Veikko
- Järvelin, Marjo-Riitta
- Perola, Markus
- Davey Smith, George
- Chaturvedi, Nish
- Danesh, John
- Butterworth, Adam S.
- Ala-Korpela, Mika
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-12-20
- Volume
- 17
- Issue
- 12
- Pages
- e3000572
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- PMC
- PMC6944381
- OpenAlex
- W2996623948
- Cited by
- 47
- References
- 51
- Citations by year
- 2026: 2 · 2024: 8 · 2023: 4 · 2022: 5 · 2021: 18 · 2020: 7 · 2019: 2 · 2018: 1
- FWCI
- 11.21
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Työväentutkimus Vuosikirja (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by)
- Funders
- Medical Research Council (MC_UU_12013/1, G0800270)
- National Health and Medical Research Council (APP1158958)
- Novo Nordisk Fonden (NNF17OC0026062, NNF17OC0027034)
- Terveyden Tutkimuksen Toimikunta (286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi))
- National Institute for Health Research (NIHR BTRU-2014-10024)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- cholesteryl ester transfer protein, HMG-CoA reductase inhibition, statins, LDL cholesterol, lipoprotein subclasses, coronary heart disease risk, HDL triglycerides, remnant lipoproteins, VLDL cholesterol, apolipoprotein B, lipoprotein particle size
- MeSH terms
- Adolescent, Adult, Alleles, Apolipoproteins B, Coronary Disease, Female, Follow-Up Studies, Humans, Hydroxymethylglutaryl CoA Reductases, Lipoproteins, Cholesterol, LDL, Male, Middle Aged, Triglycerides, Genetic Variation, Cohort Studies, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Cholesterol Ester Transfer Proteins, Young Adult
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