Common variants associated with plasma triglycerides and risk for coronary artery disease
Open accessAbstract
Sekar Kathiresan and colleagues examine 185 common variants using a modified mendelian randomization approach and provide evidence supporting a causal role of triglyceride-rich lipoproteins in the development of coronary artery disease. Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10−8 for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.
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Enhanced clearance of triglyceride-rich lipoproteins and their remnants mitigates atherosclerotic cardiovascular disease risk.
“These findings have been further corroborated in studies examining ANGPTL4 and LPL variants, all reinforcing the concept that enhanced clearance of TRLs and their remnants mitigates ASCVD risk [27].”
From Targeting Triglycerides in Cardiovascular Disease Prevention: Evidence, Mechanisms, and Emerging Therapies (2026) · cites this paper as [27]
The discussion passage labelled Abstract (page not supplied) says that greater LPL activity lowers triglycerides and that an LPL gain-of-function variant is associated with lower CAD risk. It also describes remnant particles as potentially pro-atherogenic. The copy does not report ANGPTL4-variant findings or establish that enhanced clearance of TRLs and their remnants is the mechanism reducing risk. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe finding by Do et al. supported the notion that plasma TG levels are an independent causal risk factor for coronary artery disease.
“This finding supported the notion that plasma TG levels are an independent causal risk factor for CAD”
From The Forgotten Lipids: Triglycerides, Remnant Cholesterol, and Atherosclerotic Cardiovascular Disease Risk (2019) · cites this paper as [116]
The Abstract (page unavailable) reports that genetic effects on triglycerides correlate with CAD risk after accounting for effects on LDL-C and HDL-C, supporting the cited finding. But it concludes that triglyceride-rich lipoproteins may causally influence CAD, not that plasma triglyceride levels themselves are an independent causal risk factor. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMendelian randomization analyses confirm a causal relationship between lifelong TRL elevation and ASCVD.
“Observational cohorts demonstrate that higher TG and remnant cholesterol predict cardiovascular events independently of LDL-C, while Mendelian randomization analyses confirm a causal relationship between lifelong TRL elevation and ASCVD.”
From Targeting triglycerides for cardiovascular risk reduction (2026) · cites this paper as [55]
The paper’s concluding passage (labelled Abstract in our copy; page unavailable) says its genetic analyses provide evidence that plasma triglycerides likely reflect processes causal for coronary artery disease. Its limitations passage cautions that the variants also affect other lipids and are not ideal Mendelian-randomization instruments. The claim overstates this as confirmation that lifelong elevation of triglyceride-rich lipoproteins (TRLs) itself causes the broader outcome of ASCVD. (LLM, conf=0.88)
Experimental — accuracy not yet measuredLower triglyceride levels, when accompanied by lower apolipoprotein B levels, are associated with lower cardiovascular risk.
“However, genetic studies suggest that lower triglyceride levels, when accompanied by lower apolipoprotein B levels, are associated with lower CV risk”
From Association Between Triglyceride Lowering and Reduction of Cardiovascular Risk Across Multiple Lipid-Lowering Therapeutic Classes: A Systematic Review and Meta-Regression Analysis of Randomized Controlled Trials (2019) · cites this paper as [6]
The paper reports that variants associated with lower triglycerides and lower LDL cholesterol tend to be associated with lower coronary artery disease risk (results passage, page unavailable). It does not report the claimed condition of lower apolipoprotein B levels; LDL cholesterol is not the same measurement. (LLM, conf=0.87)
Experimental — accuracy not yet measuredOn a mg/dL basis, the association of triglycerides with major vascular events is less strong than that for LDL-C.
“but also that, on a mg/dL basis, the association of triglycerides with major vascular events is less strong as that for LDL-C.6,8,35”
From Association Between Triglyceride Lowering and Reduction of Cardiovascular Risk Across Multiple Lipid-Lowering Therapeutic Classes: A Systematic Review and Meta-Regression Analysis of Randomized Controlled Trials (2019) · cites this paper as [6]
The paper reports associations of both triglycerides and LDL-C with coronary artery disease across lipid-associated SNPs (Abstract; page unavailable). It does not compare their association strengths per mg/dL or assess the broader outcome of major vascular events. The Online Methods specify that lipid effects were measured in standard-deviation units, not mg/dL. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Epidemiological and Mendelian randomization studies point toward a causal role of elevated triglycerides in atherosclerosis due to an elevation of remnant cholesterol particles.
“Epidemiological and Mendelian randomization studies have also pointed toward a causal role of elevated triglycerides in atherosclerosis due to an elevation of remnant cholesterol particles (7-9).”
From 2021 ACC Expert Consensus Decision Pathway on the Management of ASCVD Risk Reduction in Patients With Persistent Hypertriglyceridemia (2021) · cites this paper as [7]
The Abstract reports that epidemiologic studies associate higher triglycerides with CAD and that the genetic results suggest triglyceride-rich lipoproteins causally influence CAD risk. It describes cholesterol-rich remnant particles as one potential link to atherosclerosis, but does not establish that elevated triglycerides act through elevated remnant cholesterol particles. (LLM, conf=0.86)
Experimental — accuracy not yet measuredElevated triglycerides are associated with an increase in remnant cholesterol, a decrease in HDL-C, and an increase in LDL particles with a change in morphology to small, dense particles.
“Elevated triglycerides are associated with an increase in remnant cholesterol, a decrease in high-density lipoprotein cholesterol (HDL-C), and an increase in LDL particles with a change in morphology to small, dense particles.”
From 2021 ACC Expert Consensus Decision Pathway on the Management of ASCVD Risk Reduction in Patients With Persistent Hypertriglyceridemia (2021) · cites this paper as [7]
The passage labeled Abstract (page unavailable) says plasma triglycerides are highly correlated with cholesterol in remnant lipoproteins. It also discusses correlations among triglycerides, LDL-C, and HDL-C, but does not establish the claimed decrease in HDL-C. No passage found in our copy supports an increase in LDL particle number or a shift to small, dense LDL particles. (LLM, conf=0.85)
Experimental — accuracy not yet measuredDo et al. found that the strength of a single-nucleotide polymorphism's effect on TG levels correlated strongly with the magnitude of effect on coronary artery disease after adjustment for the single-nucleotide polymorphism's effects on LDL-C and HDL-C.
“They found that the strength of an SNP's effect on TG levels correlated strongly with the magnitude of effect on CAD, after adjustment for the SNP's effects on LDL-C and HDL-C”
From The Forgotten Lipids: Triglycerides, Remnant Cholesterol, and Atherosclerotic Cardiovascular Disease Risk (2019) · cites this paper as [116]
The association between triglycerides and cardiovascular risk is well established from epidemiological studies, genome-wide analyses, and Mendelian randomization studies.
“The association between triglycerides and cardiovascular (CV) risk is well established from epidemiological studies,1-5 genome-wide analyses,6-8 and Mendelian randomization studies.9,10”
Recent genetic data support that elevated triglyceride levels are a direct cause of cardiovascular disease.
“Furthermore, recent genetic data support the contention that elevated TG levels are a direct cause of CV disease. 76,88”
From 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias (2016) · cites this paper as [88]
Non-HDL-C includes atherogenic TG-rich lipoproteins, which is essential considering recent information from GWAS and Mendelian randomization supporting TGs and remnant particles as causative factors in atherogenesis.
“Non-HDL-C also includes the atherogenic TG-rich lipoproteins (VLDL, IDL and remnants), which is essential considering the recent information from genome-wide association studies (GWASs) and Mendelian randomization 76,86 - 89 supporting TGs and remnant particles as causative factors in atherogenesis.”
From 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias (2016) · cites this paper as [88]
Recent genetic data support that elevated triglyceride levels are a direct cause of cardiovascular disease.
“Furthermore, recent genetic data support the contention that elevated TG levels are a direct cause of CV disease.76,88”
From 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias (2016) · cites this paper as [88]
Mendelian randomization studies have provided accumulating evidence against the observational results that high levels of HDL-C are protective against CHD risk.
“MR studies have provided accumulating evidence against the observational results above.136–140”
From Mendelian randomization (2022) · cites this paper as [136]
A recent genome-wide association study identified common polymorphisms associated with TG to strongly influence risk of coronary disease.
“Moreover, a recent genome-wide association study identified common polymorphisms associated with TG to strongly influence risk of coronary disease20”
From Is Isolated Low High-Density Lipoprotein Cholesterol a Cardiovascular Disease Risk Factor?: New Insights From the Framingham Offspring Study (2016) · cites this paper as [20]
TG-rich lipoproteins (TRLs) and their cholesterol-enriched remnants play a causative role in disease.
“some proposing that TG-rich lipoproteins (TRLs; e.g., very low density lipoprotein) and their cholesterol-enriched remnants play a causative role in disease.20,21”
From Is Isolated Low High-Density Lipoprotein Cholesterol a Cardiovascular Disease Risk Factor?: New Insights From the Framingham Offspring Study (2016) · cites this paper as [20]
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Cites
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581 · see citing works
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882 · see citing works
Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study
Murray, C. J., & Lopez, A. D. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07495-8 · Cited by 4,492 · see citing works
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487 · see citing works
Self-citationRubins, H. B., Robins, S. J., Collins, D., Fye, C. L., Anderson, J. W., Elam, M. B., Faas, F. H., Linares, E., Schaefer, E. J., Schectman, G., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908053410604 · Cited by 3,439 · see citing works
Sequence Variations in <i>PCSK9,</i> 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 · see citing works
Self-citationWiller (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
Effects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
(2010) · New England Journal of Medicine · doi:10.1056/nejmoa1001282 · Cited by 2,837 · see citing works
Major lipids, apolipoproteins, and risk of vascular disease
The Emerging Risk Factors Collaboration* (2009) · JAMA · doi:10.1001/jama.2009.1619 · Cited by 2,731 · see citing works
Detection of Influential Observation in Linear Regression
Cook, R. D. (1977) · Technometrics · doi:10.1080/00401706.1977.10489493 · Cited by 2,284 · see citing works
Detection of Influential Observation in Linear Regression
Cook, R. D. (2000) · Technometrics · doi:10.2307/1271434 · Cited by 2,277 · see citing works
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871 · see citing works
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics · doi:10.1038/ng.784 · Cited by 1,866 · see citing works
Self-citationLarge-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 · see citing works
Self-citationNewly identified loci that influence lipid concentrations and risk of coronary artery disease
Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., Heath, S. C., Timpson, N. J., Najjar, S. S., Stringham, H. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.76 · Cited by 1,585 · see citing works
Self-citationSarwar, N., Danesh, J., Eiriksdottir, G., Sigurdsson, G., Wareham, N., Bingham, S., Boekholdt, S. M., Khaw, K.-T., & Gudnason, V. (2007) · Circulation · doi:10.1161/circulationaha.106.637793 · Cited by 1,408 · see citing works
Self-citationKathiresan, S., Melander, O., Guiducci, C., Surti, A., Burtt, N. P., Rieder, M. J., Cooper, G. M., Roos, C., Voight, B. F., Havulinna, A. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.75 · Cited by 1,386 · see citing works
Self-citationCommon variants at 30 loci contribute to polygenic dyslipidemia
Kathiresan, S., Willer, C. J., Peloso, G. M., Demissie, S., Musunuru, K., Schadt, E. E., Kaplan, L., Bennett, D., Li, Y., Tanaka, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.291 · Cited by 1,364 · see citing works
Self-citationMendelian randomization: prospects, potentials, and limitations
Smith, G. D. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh132 · Cited by 1,222 · see citing works
Remnant Cholesterol as a Causal Risk Factor for Ischemic Heart Disease
Varbo, A., Benn, M., Tybjærg-Hansen, A., Jørgensen, A. B., Frikke-Schmidt, R., & Nordestgaard, B. G. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.08.1026 · Cited by 1,115 · see citing works
n–3 Fatty Acids and Cardiovascular Outcomes in Patients with Dysglycemia
The ORIGIN Trial Investigators (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203859 · Cited by 929 · see citing works
An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing
Pennacchio, L. A., Olivier, M., Hubacek, J. A., Cohen, J. C., Cox, D. R., Fruchart, J.-C., Krauss, R. M., & Rubin, E. M. (2001) · Science · doi:10.1126/science.1064852 · Cited by 921 · see citing works
Self-citationTriglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies
(2010) · The Lancet · doi:10.1016/s0140-6736(10)60545-4 · Cited by 716 · see citing works
Pollin, T. I., Damcott, C. M., Shen, H., Ott, S. H., Shelton, J., Horenstein, R. B., Post, W., McLenithan, J. C., Bielak, L. F., Peyser, P. A., et al. (2008) · Science · doi:10.1126/science.1161524 · Cited by 688 · see citing works
Self-citationSmith, G. D., Lawlor, D. A., Harbord, R., Timpson, N., Day, I., & Ebrahim, S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040352 · Cited by 569 · see citing works
Ebrahim, S., & Davey Smith, G. (2008) · Human Genetics · doi:10.1007/s00439-007-0448-6 · Cited by 410 · see citing works
Mendelian Randomisation and Causal Inference in Observational Epidemiology
Sheehan, N. A., Didelez, V., Burton, P. R., & Tobin, M. D. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050177 · Cited by 373 · see citing works
Haase, C. L., Tybjærg-Hansen, A., Ali Qayyum, A., Schou, J., Nordestgaard, B. G., & Frikke-Schmidt, R. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1846 · Cited by 282 · see citing works
Plasma 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-citationHaase, C. L., Tybjærg-Hansen, A., Grande, P., & Frikke-Schmidt, R. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0450 · Cited by 104 · see citing works
Johannsen, T. H., Kamstrup, P. R., Andersen, R. V., Jensen, G. B., Sillesen, H. H., Tybjærg‐Hansen, A., & Nordestgaard, B. G. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-1342 · Cited by 98 · see citing works
Lewis, S. J. (2010) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.109.880955 · Cited by 28 · see citing works
Flagged first, then by citations
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Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922 · see citing works
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591 · see citing works
Self-citationThe MR-Base platform supports systematic causal inference across the human phenome
Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife · doi:10.7554/elife.34408 · Cited by 7,959 · see citing works
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677 · see citing works
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works
Self-citationInterpreting findings from Mendelian randomization using the MR-Egger method.
Burgess, S., & Thompson, S. G. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0255-x · Cited by 4,571 · see citing works
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
Hartwig, F. P., Davey Smith, G., & Bowden, J. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx102 · Cited by 3,485 · see citing works
2016 ESC/EAS Guidelines for the Management of Dyslipidaemias
Catapano, A. L., Graham, I., De Backer, G., Wiklund, O., Chapman, M. J., Drexel, H., Hoes, A. W., Jennings, C. S., Landmesser, U., Pedersen, T. R., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw272 · Cited by 3,162 · see citing works
The changing landscape of atherosclerosis
Libby, P. (2021) · Nature · doi:10.1038/s41586-021-03392-8 · Cited by 2,873 · see citing works
Orienting the causal relationship between imprecisely measured traits using GWAS summary data.
Hemani, G., Tilling, K., & Davey Smith, G. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007081 · Cited by 2,607 · see citing works
Sanderson, E., Glymour, M. M., Holmes, M. V., Kang, H., Morrison, J., Munafò, M. R., Palmer, T., Schooling, C. M., Wallace, C., Zhao, Q., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00092-5 · Cited by 2,229 · see citing works
Burgess, S., & Thompson, S. G. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu283 · Cited by 1,605 · see citing works
Borén, J., Chapman, M. J., Krauss, R. M., Packard, C. J., Bentzon, J. F., Binder, C. J., Daemen, M. J., Demer, L. L., Hegele, R. A., Nicholls, S. J., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz962 · Cited by 1,601 · see citing works
Self-citation2016 ESC/EAS Guidelines for the Management of Dyslipidaemias
Catapano, A. L., Graham, I., De Backer, G., Wiklund, O., Chapman, M. J., Drexel, H., Hoes, A. W., Jennings, C. S., Landmesser, U., Pedersen, T. R., et al. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.08.018 · Cited by 1,582 · see citing works
Evaluating the potential role of pleiotropy in Mendelian randomization studies
Hemani, G., Bowden, J., & Davey Smith, G. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy163 · Cited by 1,496 · see citing works
Triglycerides and cardiovascular disease
Nordestgaard, B. G., & Varbo, A. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61177-6 · Cited by 1,419 · see citing works
Nordestgaard, B. G. (2016) · Circulation Research · doi:10.1161/circresaha.115.306249 · Cited by 1,116 · see citing works
Loss-of-Function Mutations in <i>APOC3,</i> Triglycerides, and Coronary Disease
The TG and HDL Working Group of the Exome Sequencing Project, N. H. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1307095 · Cited by 1,071 · see citing works
The Discovery and Development of Liraglutide and Semaglutide
Knudsen, L. B., & Lau, J. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00155 · Cited by 970 · see citing works
Causal associations between risk factors and common diseases inferred from GWAS summary data
Zhu, Z., Zheng, Z., Zhang, F., Wu, Y., Trzaskowski, M., Maier, R., Robinson, M. R., McGrath, J. J., Visscher, P. M., Wray, N. R., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02317-2 · Cited by 951 · see citing works
Self-citationRichardson, T. G., Sanderson, E., Palmer, T. M., Ala-Korpela, M., Ference, B. A., Davey Smith, G., & Holmes, M. V. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003062 · Cited by 843 · see citing works
HDL and cardiovascular disease
Rader, D. J., & Hovingh, G. K. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61217-4 · Cited by 870 · see citing works
Self-citationZheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works
Dysfunctional HDL and atherosclerotic cardiovascular disease
Rosenson, R. S., Brewer, H. B., Ansell, B. J., Barter, P., Chapman, M. J., Heinecke, J. W., Kontush, A., Tall, A. R., & Webb, N. R. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2015.124 · Cited by 822 · see citing works
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 · see citing works
Self-citationMendelian randomization in cardiometabolic disease: challenges in evaluating causality
Holmes, M. V., Ala-Korpela, M., & Smith, G. D. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.78 · Cited by 679 · see citing works
Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction
Do, R., Stitziel, N. O., Won, H.-H., Jørgensen, A. B., Duga, S., Angelica Merlini, P., Kiezun, A., Farrall, M., Goel, A., Zuk, O., et al. (2015) · Nature · doi:10.1038/nature13917 · Cited by 650 · see citing works
Self-citationGenetics of coronary artery disease: discovery, biology and clinical translation
Khera, A. V., & Kathiresan, S. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2016.160 · Cited by 659 · see citing works
Self-citationHegele, R. A., Ginsberg, H. N., Chapman, M. J., Nordestgaard, B. G., Kuivenhoven, J. A., Averna, M., Borén, J., Bruckert, E., Catapano, A. L., Descamps, O. S., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70191-8 · Cited by 635 · see citing works
Self-citationSandesara, P. B., Virani, S. S., Fazio, S., & Shapiro, M. D. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00184 · Cited by 626 · see citing works
Lipids, lipoproteins, and metabolites and risk of myocardial infarction and stroke
Holmes, M. V., Millwood, I. Y., Kartsonaki, C., Hill, M. R., Bennett, D. A., Boxall, R., Guo, Y., Xu, X., Bian, Z., Hu, R., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.12.006 · Cited by 508 · see citing works
Self-citationInactivating Variants in <i>ANGPTL4</i> and Risk of Coronary Artery Disease
Dewey, F. E., Gusarova, V., O’Dushlaine, C., Gottesman, O., Trejos, J., Hunt, C., Van Hout, C. V., Habegger, L., Buckler, D., Lai, K.-M. V., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1510926 · Cited by 497 · see citing works
New insights into the pathophysiology of dyslipidemia in type 2 diabetes
Taskinen, M.-R., & Borén, J. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.01.039 · Cited by 440 · see citing works
Distinguishing genetic correlation from causation across 52 diseases and complex traits
O’Connor, L. J., & Price, A. L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0255-0 · Cited by 394 · see citing works
Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.
Swerdlow, D. I., Kuchenbaecker, K. B., Shah, S., Sofat, R., Holmes, M. V., White, J., Mindell, J. S., Kivimaki, M., Brunner, E. J., Whittaker, J. C., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw088 · Cited by 387 · see citing works
Self-citationEmdin, C. A., Khera, A. V., Natarajan, P., Klarin, D., Zekavat, S. M., Hsiao, A. J., & Kathiresan, S. (2017) · JAMA · doi:10.1001/jama.2016.21042 · Cited by 378 · see citing works
Mahdessian, H., Taxiarchis, A., Popov, S., Silveira, A., Franco-Cereceda, A., Hamsten, A., Eriksson, P., & van't Hooft, F. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323785111 · Cited by 369 · see citing works
Self-citationFischer, K., Kettunen, J., Würtz, P., Haller, T., Havulinna, A. S., Kangas, A. J., Soininen, P., Esko, T., Tammesoo, M.-L., Mägi, R., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001606 · Cited by 344 · see citing works
Self-citationVirani, S. S., Morris, P. B., Agarwala, A., Ballantyne, C. M., Birtcher, K. K., Kris-Etherton, P. M., Ladden-Stirling, A. B., Miller, M., Orringer, C. E., & Stone, N. J. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.06.011 · Cited by 341 · see citing works
Pradhan, A. D., Paynter, N. P., Everett, B. M., Glynn, R. J., Amarenco, P., Elam, M., Ginsberg, H., Hiatt, W. R., Ishibashi, S., Koenig, W., et al. (2018) · American Heart Journal · doi:10.1016/j.ahj.2018.09.011 · Cited by 319 · see citing works
Marston, N. A., Giugliano, R. P., Im, K., Silverman, M. G., O’Donoghue, M. L., Wiviott, S. D., Ference, B. A., & Sabatine, M. S. (2019) · Circulation · doi:10.1161/circulationaha.119.041998 · Cited by 301 · see citing works
Association 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
Genetics and causality of triglyceride-rich lipoproteins in atherosclerotic cardiovascular disease
Rosenson, R. S., Davidson, M. H., Hirsh, B. J., Kathiresan, S., & Gaudet, D. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.042 · Cited by 260 · see citing works
Smith, J. G., Luk, K., Schulz, C.-A., Engert, J. C., Do, R., Hindy, G., Rukh, G., Dufresne, L., Almgren, P., Owens, D. S., et al. (2014) · JAMA · doi:10.1001/jama.2014.13959 · Cited by 238 · see citing works
Self-citation2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia
Blumenthal, R. S., Morris, P. B., Gaudino, M., Johnson, H. M., Anderson, T. S., Bittner, V. A., Blankstein, R., Brewer, L. C., Cho, L., de Ferranti, S. D., et al. (2026) · JACC · doi:10.1016/j.jacc.2025.11.016 · Cited by 304 · see citing works
Self-citationTriglyceride-rich lipoproteins as a causal factor for cardiovascular disease
Toth, P. (2016) · Vascular Health and Risk Management · doi:10.2147/vhrm.s104369 · Cited by 237 · see citing works
From Lipids to Inflammation: New Approaches to Reducing Atherosclerotic Risk
Shapiro, M. D., & Fazio, S. (2016) · Circulation Research · doi:10.1161/circresaha.115.306471 · Cited by 217 · see citing works
Jepsen, A.-M. K., Langsted, A., Varbo, A., Bang, L. E., Kamstrup, P. R., & Nordestgaard, B. G. (2016) · Clinical Chemistry · doi:10.1373/clinchem.2015.253757 · Cited by 218 · see citing works
Varbo, A., Freiberg, J. J., & Nordestgaard, B. G. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.234146 · Cited by 209 · see citing works
Xiao, C., Dash, S., Morgantini, C., Hegele, R. A., & Lewis, G. F. (2016) · Diabetes · doi:10.2337/db16-0046 · Cited by 212 · see citing works
New insights into the regulation of chylomicron production
Dash, S., Xiao, C., Morgantini, C., & Lewis, G. F. (2015) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071714-034338 · Cited by 194 · see citing works
Variant <i>ASGR1</i> Associated with a Reduced Risk of Coronary Artery Disease
Nioi, P., Sigurdsson, A., Thorleifsson, G., Helgason, H., Agustsdottir, A. B., Norddahl, G. L., Helgadottir, A., Magnusdottir, A., Jonasdottir, A., Gretarsdottir, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1508419 · Cited by 189 · see citing works
Self-citationMetabolomic 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-citationApolipoprotein C-III: from pathophysiology to pharmacology
Norata, G. D., Tsimikas, S., Pirillo, A., & Catapano, A. L. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2015.07.001 · Cited by 182 · see citing works
Balling, M., Afzal, S., Varbo, A., Langsted, A., Davey Smith, G., & Nordestgaard, B. G. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.09.610 · Cited by 175 · see citing works
Pechlaner, R., Tsimikas, S., Yin, X., Willeit, P., Baig, F., Santer, P., Oberhollenzer, F., Egger, G., Witztum, J. L., Alexander, V. J., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.11.065 · Cited by 171 · see citing works
Nicholls, S. J., Lincoff, A. M., Bash, D., Ballantyne, C. M., Barter, P. J., Davidson, M. H., Kastelein, J. J. P., Koenig, W., McGuire, D. K., Mozaffarian, D., et al. (2018) · Clinical Cardiology · doi:10.1002/clc.23055 · Cited by 167 · see citing works
Self-citationSurprises from genetic analyses of lipid risk factors for atherosclerosis
Musunuru, K., & Kathiresan, S. (2016) · Circulation Research · doi:10.1161/circresaha.115.306398 · Cited by 159 · see citing works
Self-citationHypertriglyceridemia in the genomic era: a new paradigm
Lewis, G. F., Xiao, C., & Hegele, R. A. (2015) · Endocrine Reviews · doi:10.1210/er.2014-1062 · Cited by 152 · see citing works
Puri, R., Nissen, S. E., Shao, M., Elshazly, M. B., Kataoka, Y., Kapadia, S. R., Tuzcu, E. M., & Nicholls, S. J. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.116.307601 · Cited by 143 · see citing works
Genome-wide analysis yields new loci associating with aortic valve stenosis
Helgadottir, A., Thorleifsson, G., Gretarsdottir, S., Stefansson, O. A., Tragante, V., Thorolfsdottir, R. B., Jonsdottir, I., Bjornsson, T., Steinthorsdottir, V., Verweij, N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03252-6 · Cited by 125 · see citing works
Self-citationKaltoft, M., Langsted, A., & Nordestgaard, B. G. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa172 · Cited by 122 · see citing works
Writing Committee Members, Blumenthal, R. S., Morris, P. B., Gaudino, M., Johnson, H. M., Anderson, T. S., Bittner, V. A., Blankstein, R., Brewer, L. C., Cho, L., et al. (2026) · Circulation · doi:10.1161/cir.0000000000001423 · Cited by 122 · see citing works
Self-citationEffects of hormonal contraception on systemic metabolism: cross-sectional and longitudinal evidence
Wang, Q., Würtz, P., Auro, K., Morin-Papunen, L., Kangas, A. J., Soininen, P., Tiainen, M., Tynkkynen, T., Joensuu, A., Havulinna, A. S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw147 · Cited by 117 · see citing works
Self-citationSniderman, A. D., Dufresne, L., Pencina, K. M., Bilgic, S., Thanassoulis, G., & Pencina, M. J. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae258 · Cited by 117 · see citing works
“…to demonstrate any clinical benefit related to increase in HDL-C 23 and the Mendelian randomization studies, which did not support a causal relation between HDL-C and cardiovascular risk, 24,25 interest in the potential role of HDL-C as a determinant of the outcome of atherosclerosis has plummeted.”
Singh, A. K., Chaube, B., Zhang, X., Sun, J., Citrin, K. M., Canfrán-Duque, A., Aryal, B., Rotllan, N., Varela, L., Lee, R. G., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci140989 · Cited by 115 · see citing works
Spiller, W., Davies, N. M., & Palmer, T. M. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyy195 · Cited by 116 · see citing works
Postprandial lipemia as a cardiometabolic risk factor
Pirillo, A., Norata, G. D., & Catapano, A. L. (2014) · Current Medical Research and Opinion · doi:10.1185/03007995.2014.909394 · Cited by 108 · see citing works
Frayling, T. M., Beaumont, R. N., Jones, S. E., Yaghootkar, H., Tuke, M. A., Ruth, K. S., Casanova, F., West, B., Locke, J., Sharp, S., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.070 · Cited by 101 · see citing works
Bartlett, J., Predazzi, I. M., Williams, S. M., Bush, W. S., Kim, Y., Havas, S., Toth, P. P., Fazio, S., & Miller, M. (2016) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.115.002436 · Cited by 96 · see citing works
Triglyceride-rich lipoproteins and remnants: targets for therapy?
Dallinga-Thie, G. M., Kroon, J., Borén, J., & Chapman, M. J. (2016) · Current Cardiology Reports · doi:10.1007/s11886-016-0745-6 · Cited by 90 · see citing works
Futatsugi, K., Kung, D. W., Orr, S. T. M., Cabral, S., Hepworth, D., Aspnes, G., Bader, S., Bian, J., Boehm, M., Carpino, P. A., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01006 · Cited by 88 · see citing works
Rahmioglu, N., Macgregor, S., Drong, A. W., Hedman, A. K., Harris, H. R., Randall, J. C., Prokopenko, I., The International Endogene Consortium (IEC), T. G. C., Nyholt, D. R., Morris, A. P., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddu516 · Cited by 85 · see citing works
Self-citationIdentifying an optimal cutpoint for the diagnosis of hypertriglyceridemia in the nonfasting state
White, K. T., Moorthy, M. V., Akinkuolie, A. O., Demler, O., Ridker, P. M., Cook, N. R., & Mora, S. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2015.241752 · Cited by 74 · see citing works
Self-citationJordan, D. M., Verbanck, M., & Do, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1844-7 · Cited by 73 · see citing works
Self-citationFoks, A. C., Engelbertsen, D., Kuperwaser, F., Alberts-Grill, N., Gonen, A., Witztum, J. L., Lederer, J., Jarolim, P., DeKruyff, R. H., Freeman, G. J., et al. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.115.306860 · Cited by 64 · see citing works
Kolovou, G. D., Watts, G. F., Mikhailidis, D. P., Pérez-Martínez, P., Mora, S., Bilianou, H., Panotopoulos, G., Katsiki, N., Ooi, T. C., Lopez-Miranda, J., et al. (2019) · Current Vascular Pharmacology · doi:10.2174/1570161117666190507110519 · Cited by 61 · see citing works
Self-citationLee, H., Park, J.-B., Hwang, I.-C., Yoon, Y. E., Park, H. E., Choi, S.-Y., Kim, Y.-J., Cho, G.-Y., Han, K., & Kim, H.-K. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487319898571 · Cited by 56 · see citing works
Genome‐wide analyses of aggressiveness in attention‐deficit hyperactivity disorder
Brevik, E. J., van Donkelaar, M. M. J., Weber, H., Sánchez‐Mora, C., Jacob, C., Rivero, O., Kittel‐Schneider, S., Garcia‐Martínez, I., Aebi, M., van Hulzen, K., et al. (2016) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32434 · Cited by 57 · see citing works
Ndumele, C. E., Rodriguez, F., Dixon, D. L., Khan, S. S., Mukherjee, D., Bajaj, M., Bangalore, S., Bozkurt, B., Breathett, K., Clarke, S. L., et al. (2026) · JACC · doi:10.1016/j.jacc.2026.03.056 · Cited by 90 · see citing works
Björnson, E., Packard, C. J., Adiels, M., Andersson, L., Matikainen, N., Söderlund, S., Kahri, J., Sihlbom, C., Thorsell, A., Zhou, H., et al. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12877 · Cited by 54 · see citing works
Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition
Kettunen, J., Holmes, M. V., Allara, E., Anufrieva, O., Ohukainen, P., Oliver-Williams, C., Wang, Q., Tillin, T., Hughes, A. D., Kähönen, M., et al. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000572 · Cited by 47 · see citing works
Self-citationBjörnson, E., Packard, C. J., Adiels, M., Andersson, L., Matikainen, N., Söderlund, S., Kahri, J., Hakkarainen, A., Lundbom, N., Lundbom, J., et al. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13017 · Cited by 46 · see citing works
Novel therapeutics in hypertriglyceridemia
Gryn, S. E., & Hegele, R. A. (2015) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000231 · Cited by 44 · see citing works
Helkkula, P., Kiiskinen, T., Havulinna, A. S., Karjalainen, J., Koskinen, S., Salomaa, V., Daly, M. J., Palotie, A., Surakka, I., Ripatti, S., et al. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009501 · Cited by 47 · see citing works
Self-citationBashir, B., Schofield, J., Downie, P., France, M., Ashcroft, D. M., Wright, A. K., Romeo, S., Gouni-Berthold, I., Maan, A., Durrington, P. N., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1389106 · Cited by 40 · see citing works
Omega-3 fatty acid and cardiovascular outcomes: insights from recent clinical trials
Jia, X., Kohli, P., & Virani, S. S. (2019) · Current Atherosclerosis Reports · doi:10.1007/s11883-019-0763-0 · Cited by 39 · see citing works
Therapeutic targets of triglyceride metabolism as informed by human genetics
Bauer, R. C., Khetarpal, S. A., Hand, N. J., & Rader, D. J. (2016) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2016.02.005 · Cited by 32 · see citing works
Self-citationMonogenic and Polygenic Models of Coronary Artery Disease
Muse, E. D., Chen, S.-F., & Torkamani, A. (2021) · Current Cardiology Reports · doi:10.1007/s11886-021-01540-0 · Cited by 27 · see citing works
Optimizing Non-Pharmacologic Management of Hypertriglyceridemia
Byrne, A., Makadia, S., Sutherland, A., & Miller, M. (2017) · Archives of Medical Research · doi:10.1016/j.arcmed.2017.11.017 · Cited by 27 · see citing works
Zhou, H., Ding, X., Yang, Q., Chen, S., Li, Y., Zhou, X., & Wu, S. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.122.026632 · Cited by 25 · see citing works
Lessons from PROMINENT and prospects for pemafibrate
Fruchart, J.-C., Fruchart-Najib, J., Yamashita, S., Libby, P., Yokote, K., Kodama, T., Tomita, Y., Ridker, P. M., Hermans, M. P., & Zambon, A. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02305-z · Cited by 16 · see citing works
<p>Spotlight on Icosapent Ethyl for Cardiovascular Risk Reduction: Evidence to Date</p>
Jia, X., Koh, S., Al Rifai, M., Blumenthal, R. S., & Virani, S. S. (2020) · Vascular Health and Risk Management · doi:10.2147/vhrm.s210149 · Cited by 14 · see citing works
Human genetic insights into lipoproteins and risk of cardiometabolic disease
Stitziel, N. O. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000389 · Cited by 14 · see citing works
Do triglyceride-lowering drugs decrease risk of cardiovascular disease?
Maki, K. C., & Dicklin, M. R. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000424 · Cited by 14 · see citing works
Ference, B. A. (2019) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1163 · Cited by 8 · see citing works
Alam, U., Mathai, S. V., Filtz, A., Kuno, T., Badimon, J. J., Sniderman, A. D., Virani, S. S., Toth, P. P., Shapiro, M. D., Lavie, C. J., et al. (2026) · Current Cardiology Reports · doi:10.1007/s11886-025-02337-1 · Cited by 4 · see citing works
Elbahloul, M. A., Gamal, A., Maihoub, O., Elbaz Hassan, M. M., Attia, M. K., Salah, A. M., Elboraay, T., Awad, A. K., Akoum, A., Elazab, A., et al. (2026) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.70717 · Cited by 1 · see citing works
Targeting triglycerides for cardiovascular risk reduction
Maiorca, C., Tramontano, D., Di Costanzo, A., & D’Erasmo, L. (2026) · Internal and Emergency Medicine · doi:10.1007/s11739-026-04383-1
- Authors
- Do, R., Willer, C. J., Schmidt, E. M., Sengupta, S., Gao, C., Peloso, G. M., Gustafsson, S., Kanoni, S., Ganna, A., Chen, J., Buchkovich, M. L., Mora, S., Beckmann, J. S., Bragg-Gresham, J. L., Chang, H.-Y., Demirkan, A., Den Hertog, H. M., Donnelly, L. A., Ehret, G. B., Esko, T., Feitosa, M. F., Ferreira, T., Fischer, K., Fontanillas, P., Fraser, R. M., Freitag, D. F., Gurdasani, D., Heikkilä, K., Hyppönen, E., Isaacs, A., Jackson, A. U., Johansson, Å., Johnson, T., Kaakinen, M., Kettunen, J., Kleber, M. E., Li, X., Luan, J., Lyytikäinen, L.-P., Magnusson, P. K. E., Mangino, M., Mihailov, E., Montasser, M. E., Müller-Nurasyid, M., Nolte, I. M., O'Connell, J. R., Palmer, C. D., Perola, M., Petersen, A.-K., Sanna, S., Saxena, R., Service, S. K., Shah, S., Shungin, D., Sidore, C., Song, C., Strawbridge, R. J., Surakka, I., Tanaka, T., Teslovich, T. M., Thorleifsson, G., Van den Herik, E. G., Voight, B. F., Volcik, K. A., Waite, L. L., Wong, A., Wu, Y., Zhang, W., Absher, D., Asiki, G., Barroso, I., Been, L. F., Bolton, J. L., Bonnycastle, L. L., Brambilla, P., Burnett, M. S., Cesana, G., Dimitriou, M., Doney, A. S. F., Döring, A., Elliott, P., Epstein, S. E., Eyjolfsson, G. I., Gigante, B., Goodarzi, M. O., Grallert, H., Gravito, M. L., Groves, C. J., Hallmans, G., Hartikainen, A.-L., Hayward, C., Hernandez, D., Hicks, A. A., Holm, H., Hung, Y.-J., Illig, T., Jones, M. R., Kaleebu, P., Kastelein, J. J. P., Khaw, K.-T., Kim, E., Klopp, N., Komulainen, P., Kumari, M., Langenberg, C., Lehtimäki, T., Lin, S.-Y., Lindström, J., Loos, R. J. F., Mach, F., McArdle, W. L., Meisinger, C., Mitchell, B. D., Müller, G., Nagaraja, R., Narisu, N., Nieminen, T. V. M., Nsubuga, R. N., Olafsson, I., Ong, K. K., Palotie, A., Papamarkou, T., Pomilla, C., Pouta, A., Rader, D. J., Reilly, M. P., Ridker, P. M., Rivadeneira, F., Rudan, I., Ruokonen, A., Samani, N., Scharnagl, H., Seeley, J., Silander, K., Stančáková, A., Stirrups, K., Swift, A. J., Tiret, L., Uitterlinden, A. G., van Pelt, L. J., Vedantam, S., Wainwright, N., Wijmenga, C., Wild, S. H., Willemsen, G., Wilsgaard, T., Wilson, J. F., Young, E. H., Zhao, J. H., Adair, L. S., Arveiler, D., Assimes, T. L., Bandinelli, S., Bennett, F., Bochud, M., Boehm, B. O., Boomsma, D. I., Borecki, I. B., Bornstein, S. R., Bovet, P., Burnier, M., Campbell, H., Chakravarti, A., Chambers, J. C., Chen, Y.-D. I., Collins, F. S., Cooper, R. S., Danesh, J., Dedoussis, G., de Faire, U., Feranil, A. B., Ferrières, J., Ferrucci, L., Freimer, N. B., Gieger, C., Groop, L. C., Gudnason, V., Gyllensten, U., Hamsten, A., Harris, T. B., Hingorani, A., Hirschhorn, J. N., Hofman, A., Hovingh, G. K., Hsiung, C. A., Humphries, S. E., Hunt, S. C., Hveem, K., Iribarren, C., Järvelin, M.-R., Jula, A., Kähönen, M., Kaprio, J., Kesäniemi, A., Kivimaki, M., Kooner, J. S., Koudstaal, P. J., Krauss, R. M., Kuh, D., Kuusisto, J., Kyvik, K. O., Laakso, M., Lakka, T. A., Lind, L., Lindgren, C. M., Martin, N. G., März, W., McCarthy, M. I., McKenzie, C. A., Meneton, P., Metspalu, A., Moilanen, L., Morris, A. D., Munroe, P. B., Njølstad, I., Pedersen, N. L., Power, C., Pramstaller, P. P., Price, J. F., Psaty, B. M., Quertermous, T., Rauramaa, R., Saleheen, D., Salomaa, V., Sanghera, D. K., Saramies, J., Schwarz, P. E. H., Sheu, W. H.-H., Shuldiner, A. R., Siegbahn, A., Spector, T. D., Stefansson, K., Strachan, D. P., Tayo, B. O., Tremoli, E., Tuomilehto, J., Uusitupa, M., van Duijn, C. M., Vollenweider, P., Wallentin, L., Wareham, N. J., Whitfield, J. B., Wolffenbuttel, B. H. R., Altshuler, D., Ordovas, J. M., Boerwinkle, E., Palmer, C. N. A., Thorsteinsdottir, U., Chasman, D. I., Rotter, J. I., Franks, P. W., Ripatti, S., Cupples, L. A., Sandhu, M. S., Rich, S. S., Boehnke, M., Deloukas, P., Mohlke, K. L., Ingelsson, E., Abecasis, G. R., Daly, M. J., Neale, B. M., & Kathiresan, S.
- Affiliations
- Broad Institute (US)
- University of Michigan (US)
- Uppsala University (SE)
- Wellcome Sanger Institute (GB)
- University of North Carolina at Chapel Hill (US)
- Brigham and Women's Hospital (US)
- Centre Hospitalier Universitaire Vaudois (CH)
- National Health Research Institutes (TW)
- Erasmus MC (NL)
- University of Dundee (GB)
- Johns Hopkins University (US)
- Washington University in St. Louis (US)
- Centre for Human Genetics (GB)
- University of Tartu (EE)
- University of Edinburgh (GB)
- University of Cambridge (GB)
- University College London (GB)
- Queen Mary University of London (GB)
- University of Oulu (FI)
- University of Helsinki (FI)
- Universität Ulm (DE)
- Cedars-Sinai Medical Center (US)
- Addenbrooke's Hospital (GB)
- Tampere University (FI)
- Karolinska Institutet (SE)
- King's College London (GB)
- University of Maryland, Baltimore (US)
- University Medical Center Groningen (NL)
- Helmholtz Munich (DE)
- Institute of Genetic and Biomedical Research (IT)
- Massachusetts General Hospital (US)
- University of California, Los Angeles (US)
- Lund University (SE)
- University of Sassari (IT)
- Karolinska University Hospital (SE)
- National Institutes of Health (US)
- University of Pennsylvania (US)
- The University of Texas Health Science Center at Houston (US)
- HudsonAlpha Institute for Biotechnology (US)
- MRC Unit for Lifelong Health and Ageing (GB)
- National Health Service (GB)
- MRC/UVRI & LSHTM Uganda Research Unit (UG)
- University of Oklahoma Health Sciences Center (US)
- University of Milano-Bicocca (IT)
- MedStar Health Research Institute (US)
- Harokopio University of Athens (GR)
- Imperial College London (GB)
- University of Oxford (GB)
- Umeå University (SE)
- Oulu University Hospital (FI)
- Western General Hospital (GB)
- Eurac Research (IT)
- Tri-Service General Hospital (TW)
- Amsterdam UMC Location University of Amsterdam (NL)
- Taichung Veterans General Hospital (TW)
- Finnish Institute for Health and Welfare (FI)
- University Hospital of Geneva (CH)
- University of Bristol (GB)
- National Institute on Aging (US)
- University of Leicester (GB)
- Medical University of Graz (AT)
- University of East Anglia (GB)
- University of Eastern Finland (FI)
- Inserm (FR)
- Vrije Universiteit Amsterdam (NL)
- UiT The Arctic University of Norway (NO)
- Université de Strasbourg (FR)
- Stanford Medicine (US)
- Azienda Sanitaria di Firenze (IT)
- University of the West Indies (JM)
- Nanyang Technological University (SG)
- University Hospital Carl Gustav Carus (DE)
- Loyola University Medical Center (US)
- University of San Carlos (PH)
- Hôpital Rangueil (FR)
- Icelandic Heart Association (IS)
- British Heart Foundation (GB)
- University of Utah (US)
- Norwegian University of Science and Technology (NO)
- Kaiser Permanente (US)
- University of Southern Denmark (DK)
- QIMR Berghofer Medical Research Institute (AU)
- Kuopio University Hospital (FI)
- Group Health Cooperative (US)
- South Karelia Central Hospital (FI)
- German Center for Diabetes Research (DE)
- St George's, University of London (GB)
- University of Milan (IT)
- Universität für Weiterbildung Krems (AT)
- Harvard University (US)
- Boston University (US)
- University of Virginia (US)
- Corresponding author
- Daly, Mark J
- Neale, Benjamin M
- Kathiresan, Sekar
- ORCID
- Do, Ron
- Willer, Cristen J
- Schmidt, Ellen M
- Gao, Chi
- Peloso, Gina M
- Gustafsson, Stefan
- Kanoni, Stavroula
- Ganna, Andrea
- Chen, Jin
- Buchkovich, Martin L
- Mora, Samia
- Beckmann, Jacques S
- Chang, Hsing-Yi
- Demirkan, Ayşe
- Ehret, Georg B
- Esko, Tõnu
- Feitosa, Mary F
- Ferreira, Teresa
- Fischer, Krista
- Fontanillas, Pierre
- Fraser, Ross M
- Freitag, Daniel F
- Gurdasani, Deepti
- Hyppönen, Elina
- Isaacs, Aaron
- Jackson, Anne U
- Johansson, Åsa
- Johnson, Toby
- Kaakinen, Marika
- Kettunen, Johannes
- Kleber, Marcus E
- Li, Xiaohui
- Luan, Jian'an
- Lyytikäinen, Leo-Pekka
- Magnusson, Patrik K E
- Mangino, Massimo
- Montasser, May E
- Nolte, Ilja M
- Palmer, Cameron D
- Perola, Markus
- Sanna, Serena
- Saxena, Richa
- Service, Susan K
- Shah, Sonia
- Shungin, Dmitry
- Sidore, Carlo
- Song, Ci
- Strawbridge, Rona J
- Surakka, Ida
- Tanaka, Toshiko
- Voight, Benjamin F
- Wong, Andrew
- Wu, Ying
- Zhang, Weihua
- Absher, Devin
- Asiki, Gershim
- Barroso, Inês
- Been, Latonya F
- Bonnycastle, Lori L
- Brambilla, Paolo
- Cesana, Giancarlo
- Dimitriou, Maria
- Doney, Alex S F
- Elliott, Paul
- Gigante, Bruna
- Goodarzi, Mark O
- Grallert, Harald
- Hallmans, Göran
- Hayward, Caroline
- Hernandez, Dena
- Hicks, Andrew A
- Jones, Michelle R
- Kaleebu, Pontiano
- Kastelein, John J P
- Khaw, Kay-Tee
- Kim, Eric
- Komulainen, Pirjo
- Langenberg, Claudia
- Lehtimäki, Terho
- Lindström, Jaana
- Loos, Ruth J F
- Mach, François
- McArdle, Wendy L
- Meisinger, Christa
- Mitchell, Braxton D
- Nagaraja, Ramaiah
- Narisu, Narisu
- Nieminen, Tuomo V M
- Nsubuga, Rebecca N
- Ong, Ken K
- Palotie, Aarno
- Papamarkou, Theodore
- Pomilla, Cristina
- Rader, Daniel J
- Reilly, Muredach P
- Ridker, Paul M
- Rivadeneira, Fernando
- Rudan, Igor
- Samani, Nilesh
- Scharnagl, Hubert
- Seeley, Janet
- Stirrups, Kathleen
- Vedantam, Sailaja
- Wijmenga, Cisca
- Wild, Sarah H
- Willemsen, Gonneke
- Wilsgaard, Tom
- Wilson, James F
- Zhao, Jing Hua
- Adair, Linda S
- Assimes, Themistocles L
- Bandinelli, Stefania
- Bennett, Franklyn
- Bochud, Murielle
- Boehm, Bernhard O
- Boomsma, Dorret I
- Borecki, Ingrid B
- Bornstein, Stefan R
- Bovet, Pascal
- Burnier, Michel
- Chakravarti, Aravinda
- Chambers, John C
- Chen, Yii-Der Ida
- Collins, Francis S
- Cooper, Richard S
- Danesh, John
- Dedoussis, George
- Ferrières, Jean
- Ferrucci, Luigi
- Gieger, Christian
- Groop, Leif C
- Gudnason, Vilmundur
- Gyllensten, Ulf
- Hamsten, Anders
- Harris, Tamara B
- Hingorani, Aroon
- Hirschhorn, Joel N
- Hovingh, G Kees
- Hsiung, Chao Agnes
- Humphries, Steve E
- Hunt, Steven C
- Hveem, Kristian
- Iribarren, Carlos
- Järvelin, Marjo-Riitta
- Kähönen, Mika
- Kaprio, Jaakko
- Kooner, Jaspal S
- Koudstaal, Peter J
- Krauss, Ronald M
- Kuh, Diana
- Kyvik, Kirsten O
- Laakso, Markku
- Lakka, Timo A
- Lind, Lars
- Lindgren, Cecilia M
- Martin, Nicholas G
- März, Winfried
- McCarthy, Mark I
- Meneton, Pierre
- Metspalu, Andres
- Moilanen, Leena
- Morris, Andrew D
- Munroe, Patricia B
- Njølstad, Inger
- Pedersen, Nancy L
- Power, Chris
- Pramstaller, Peter P
- Price, Jackie F
- Psaty, Bruce M
- Quertermous, Thomas
- Saleheen, Danish
- Salomaa, Veikko
- Sanghera, Dharambir K
- Schwarz, Peter E H
- Sheu, Wayne H-H
- Shuldiner, Alan R
- Siegbahn, Agneta
- Spector, Tim D
- Strachan, David P
- Tayo, Bamidele O
- Tremoli, Elena
- Tuomilehto, Jaakko
- Uusitupa, Matti
- Wallentin, Lars
- Wareham, Nicholas J
- Whitfield, John B
- Wolffenbuttel, Bruce H R
- Altshuler, David
- Boerwinkle, Eric
- Chasman, Daniel I
- Rotter, Jerome I
- Franks, Paul W
- Ripatti, Samuli
- Cupples, L Adrienne
- Sandhu, Manjinder S
- Rich, Stephen S
- Boehnke, Michael
- Deloukas, Panos
- Mohlke, Karen L
- Ingelsson, Erik
- Daly, Mark J
- Neale, Benjamin M
- Kathiresan, Sekar
- Venue
- Nature Genetics
- Published
- 2013-10-06
- Volume
- 45
- Issue
- 11
- Pages
- 1345-1352
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC3904346
- OpenAlex
- W2163969089
- Cited by
- 862
- References
- 35
- Citations by year
- 2026: 27 · 2025: 43 · 2024: 41 · 2023: 62 · 2022: 59 · 2021: 73 · 2020: 69 · 2019: 80 · 2018: 84 · 2017: 75 · 2016: 107 · 2015: 74 · 2014: 60 · 2013: 4 · 2012: 1
- FWCI
- 54.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Discovery Research Portal (University of Dundee) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- Bristol Research (University of Bristol) (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- St George's Online Research Archive (St George's University of London) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- SERVAL (Université de Lausanne) (acceptedVersion, other-oa)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IRIS (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Civil War Book Review (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Explore Bristol Research (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- OPUS (Augsburg University) (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- UNC Libraries
- Funders
- Massachusetts General Hospital (R01HL107816)
- Donovan Family Foundation (R01HL107816)
- Wellcome Trust (100891, 090532)
- National Institute for Health and Care Research (NF-SI-0512-10165, NF-SI-0512-10135)
- British Heart Foundation (PG/08/094/26019, RG/08/008/25291, RG/08/014/24067)
- Fondation Leducq (T32HL007208)
- National Institutes of Health (UL1TR000124)
- Canadian Institutes of Health Research
- Medical Research Council (MR/K013351/1, MR/L003120/1, MC_UU_12015/2, MC_UU_12015/1, MR/K013491/1)
- Economic and Social Research Council (ES/J023299/1)
- National Heart, Lung, and Blood Institute (U01HL069757, R01HL105756, R01HL107816, T32HL007208, R01HL109946)
- National Human Genome Research Institute (T32HG000040)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK072193, P30DK020572, R01DK093757, P30DK063491)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Keywords
- plasma triglycerides, coronary artery disease, triglyceride-rich lipoproteins, common genetic variants, Mendelian randomization, LDL cholesterol, HDL cholesterol, causal inference
- MeSH terms
- Biological Transport, Coronary Artery Disease, Humans, Cholesterol, HDL, Cholesterol, LDL, Risk Factors, Triglycerides, Polymorphism, Single Nucleotide
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