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Association of Rare and Common Variation in the Lipoprotein Lipase Gene With Coronary Artery Disease
Open accessAbstract
Importance: The activity of lipoprotein lipase (LPL) is the rate-determining step in clearing triglyceride-rich lipoproteins from the circulation. Mutations that damage the LPL gene (LPL) lead to lifelong deficiency in enzymatic activity and can provide insight into the relationship of LPL to human disease. Objective: To determine whether rare and/or common variants in LPL are associated with early-onset coronary artery disease (CAD). Design, Setting, and Participants: In a cross-sectional study, LPL was sequenced in 10 CAD case-control cohorts of the multinational Myocardial Infarction Genetics Consortium and a nested CAD case-control cohort of the Geisinger Health System DiscovEHR cohort between 2010 and 2015. Common variants were genotyped in up to 305 699 individuals of the Global Lipids Genetics Consortium and up to 120 600 individuals of the CARDIoGRAM Exome Consortium between 2012 and 2014. Study-specific estimates were pooled via meta-analysis. Exposures: Rare damaging mutations in LPL included loss-of-function variants and missense variants annotated as pathogenic in a human genetics database or predicted to be damaging by computer prediction algorithms trained to identify mutations that impair protein function. Common variants in the LPL gene region included those independently associated with circulating triglyceride levels. Main Outcomes and Measures: Circulating lipid levels and CAD. Results: Among 46 891 individuals with LPL gene sequencing data available, the mean (SD) age was 50 (12.6) years and 51% were female. A total of 188 participants (0.40%; 95% CI, 0.35%-0.46%) carried a damaging mutation in LPL, including 105 of 32 646 control participants (0.32%) and 83 of 14 245 participants with early-onset CAD (0.58%). Compared with 46 703 noncarriers, the 188 heterozygous carriers of an LPL damaging mutation displayed higher plasma triglyceride levels (19.6 mg/dL; 95% CI, 4.6-34.6 mg/dL) and higher odds of CAD (odds ratio = 1.84; 95% CI, 1.35-2.51; P < .001). An analysis of 6 common LPL variants resulted in an odds ratio for CAD of 1.51 (95% CI, 1.39-1.64; P = 1.1 × 10-22) per 1-SD increase in triglycerides. Conclusions and Relevance: The presence of rare damaging mutations in LPL was significantly associated with higher triglyceride levels and presence of coronary artery disease. However, further research is needed to assess whether there are causal mechanisms by which heterozygous lipoprotein lipase deficiency could lead to coronary artery disease.
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“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 [59]
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“while rare, loss-of-function mutations in the APOC3, ANGPTL3, and ANGPTL4 genes, which encode for natural inhibitors of LPL, are associated with lower triglyceride levels and a corresponding lower risk of cardiovascular disease.[9][10][11][12][13]”
From Association of Triglyceride-Lowering LPL Variants and LDL-C–Lowering LDLR Variants With Risk of Coronary Heart Disease (2019) · cites this paper as [11]
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In the citing paper
“rare loss-of-function mutations in the lipoprotein lipase (LPL) gene are associated with higher plasma triglyceride levels and a higher risk of cardiovascular disease”
From Association of Triglyceride-Lowering LPL Variants and LDL-C–Lowering LDLR Variants With Risk of Coronary Heart Disease (2019) · cites this paper as [11]
Experimental — accuracy not yet measuredIn the citing paper
“Mendelian randomization studies focused on variants in the genes encoding apoAV, apoCIII, lipoprotein lipase (LpL) and the angiopoietin-like proteins 3, 4, and 8 (ANGPTL3, ANGPTL4, and ANGPTL8) have been highly informative.29–35”
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The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
Self-citationPrincipal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
Self-citationMendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21758 · Cited by 6,050
ClinVar: public archive of relationships among sequence variation and human phenotype
Landrum, M. J., Lee, J. M., Riley, G. R., Jang, W., Rubinstein, W. S., Church, D. M., & Maglott, D. R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1113 · Cited by 3,516
Genomewide Association Analysis of Coronary Artery Disease
Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H.-E., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072366 · Cited by 2,044
Self-citationGenetic Investigation of ANthropometric Traits (GIANT) Consortium, Yang, J., DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2213 · Cited by 1,712
Genetic Variants Associated with Lp(a) Lipoprotein Level and Coronary Disease
Clarke, R., Peden, J. F., Hopewell, J. C., Kyriakou, T., Goel, A., Heath, S. C., Parish, S., Barlera, S., Franzosi, M. G., Rust, S., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0902604 · Cited by 1,671
Self-citationA Common Allele on Chromosome 9 Associated with Coronary Heart Disease
McPherson, R., Pertsemlidis, A., Kavaslar, N., Stewart, A., Roberts, R., Cox, D. R., Hinds, D. A., Pennacchio, L. A., Tybjaerg-Hansen, A., Folsom, A. R., et al. (2007) · Science · doi:10.1126/science.1142447 · Cited by 1,587
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- [2]Brunzell JD Deeb SS Familial lipoprotein lipase deficiency, apo CII deficiency and hepatic lipase deficiency Scriver CR Beaudet AI Sly WS Valle D The metabolic and molecular basis of inherited disease 8 New York McGraw-Hill 2000 2789 816
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Buonuomo, P. S., Rabacchi, C., Macchiaiolo, M., Trenti, C., Fasano, T., Tarugi, P., Bartuli, A., Bertolini, S., & Calandra, S. (2017) · Journal of clinical lipidology · doi:10.1016/j.jacl.2017.08.017 · Cited by 13
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Tada, H., & Kawashiri, M. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.ed102 · Cited by 13
XPAT: a toolkit to conduct cross-platform association studies with heterogeneous sequencing datasets
Yu, Y., Hu, H., Bohlender, R. J., Hu, F., Chen, J., Holt, C., Fowler, J., Guthery, S. L., Scheet, P. A., Hildebrandt, M. A. T., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1280 · Cited by 12
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Ueda, M. (2022) · Translational Pediatrics · doi:10.21037/tp-22-488 · Cited by 12
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Wang, L., Zhang, Q., Wu, Z., & Huang, X. (2024) · Medicine · doi:10.1097/md.0000000000038754 · Cited by 13
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Mitsis, A., Khattab, E., Christodoulou, E., Myrianthopoulos, K., Myrianthefs, M. M., Tzikas, S., Ziakas, A., Fragakis, N., & Kassimis, G. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13216352 · Cited by 13
Borén, J., Packard, C. J., Nordestgaard, B. G., & Catapano, A. L. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf214 · Cited by 12
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Zambon, A., Pirillo, A., Zambon, S., Norata, G. D., & Catapano, A. L. (2020) · Current Atherosclerosis Reports · doi:10.1007/s11883-020-00893-1 · Cited by 11
Ganda, O. P. (2020) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000694 · Cited by 11
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Subramanian, S. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac085 · Cited by 12
Kalwick, M., & Roth, M. M. (2025) · Nutrients · doi:10.3390/nu17040659 · Cited by 13
Balling, M., Roepstorff, O. G., Gerds, T. A., Varbo, A., Mortensen, M. B., Langsted, A., Nordestgaard, B. G., & Afzal, S. (2025) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2025.120471 · Cited by 11
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Yin, L., Feng, Y., Lau, A., Qiu, J., Sham, P. C., & So, H. (2022) · medRxiv · doi:10.1101/2022.12.25.22283943 · Cited by 5
Fu, L., Liu, Q., Cheng, H., Zhao, X., Xiong, J., & Mi, J. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.038857 · Cited by 4
Lee, J.-H., Hong, K., Park, B., Choi, J., & Jung, D. (2025) · Nutrients · doi:10.3390/nu17050778 · Cited by 4
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Pedro‐Botet, J., Ascaso, J. F., Blasco, M., Brea, Á., Díaz, Á., Hernández‐Mijares, A., Pintó, X., & Millán, J. (2020) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2019.12.001 · Cited by 4
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Self-citationLi, W., Wang, Y., Huang, R., Feng, L., Xu, G.-X., Wang, W., & Xue, S. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-03759-5 · Cited by 3
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Moll, T. O. C., Kiefer, J. G., Klemek, M. L., Wilson, M. H., & Farber, S. A. (2025) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.125.322969 · Cited by 3
Levin, M. G., & Rader, D. J. (2022) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2022.101702 · Cited by 3
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Nordestgaard, B. G., & Varbo, A. (2020) · Contemporary cardiology · doi:10.1007/978-3-030-56514-5_8 · Cited by 3
Rader, D. J., & Kathiresan, S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801812-5.00001-9 · Cited by 3
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Yang, Y., Smith, S. A., Chen, Y. Q., Li, H., Zhen, E. Y., Sloan, J. H., Siegel, R. W., Qian, Y., Wen, Y., Jung, H., et al. (2026) · Journal of Lipid Research · doi:10.1016/j.jlr.2026.101050 · Cited by 2
Huang, X., Sun, T., Zhang, B., Ma, M., Chen, Z., Zhao, Z., Dong, S., & Zhou, Y. (2025) · Annals of Medicine · doi:10.1080/07853890.2025.2458200 · Cited by 2
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Cakmak, B., Yeral, S., Ozcan, B., Parıltay, E., Ozgul, S., Şimşir, İ. Y., & Hegele, R. A. (2023) · Journal of clinical lipidology · doi:10.1016/j.jacl.2023.09.015 · Cited by 2
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Tybjærg‐Hansen, A., & Nordestgaard, B. G. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-88286-6.00004-2 · Cited by 1
Zhang, P., Wang, K., Hu, T., Xu, M., You, X., Chen, M., Tang, X. L., Hu, H., Jiang, Y., Zhao, W., et al. (2024) · The FASEB Journal · doi:10.1096/fj.202301564rr · Cited by 1
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Bubnova, M. G., Ezhov, M. V., Aronov, D. M., Galyаvich, A. S., Gurevich, V. S., Duplyakov, D. V., Zafiraki, V. K., Karamnova, N. S., Kashtalap, V. V., Konovalov, G. A., et al. (2025) · Cardiosomatics · doi:10.17816/cs688224 · Cited by 1
Nordestgaard, A. G. (2026) · Current Atherosclerosis Reports · doi:10.1007/s11883-026-01393-4 · Cited by 2
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Singh, C., Sharma, A., Bishnoi, M., Kondepudi, K. K., & Singh, R. P. (2020) · Springer eBooks · doi:10.1007/978-981-15-2874-3_12 · Cited by 1
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Ishihama, S., Yoshida, T., Yoshida, S., Ouchi, N., Mori, Y., Eguchi, S., Sakaguchi, T., Tsuda, T., Kato, K., Shimizu, Y., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-81516/v1 · Cited by 1
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Ferchichi, S. (2012) · doi:10.71781/3769
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Antunes, B., Barreiros, F., & Sampaio, F. (2022) · RevSALUS - Revista Científica da Rede Académica das Ciências da Saúde da Lusofonia · doi:10.51126/revsalus.v4isup.406
Icosapent Ethyl for the Prevention of Cardiovascular Events
Lloyd, J. (2019) · EMJ Cardiology · doi:10.33590/emjcardiol/10311840
Ginsberg, H. N. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-88286-6.00031-5
Research Status of Lipoprotein and Residual Risk of Cardiovascular Disease
吴, 美. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.1361290
Subfractions of Low-Density-Lipoprotein: Which is the Most Atherogenic?
Poznyak, A. V., Sukhorukov, V. N., Popov, M. A., Grechko, A. V., & Orekhov, A. N. (2023) · OnLine Journal of Biological Sciences · doi:10.3844/ojbsci.2023.432.440
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Subhani, N., Hussain, F., & Sial, T. G. (2023) · doi:10.53555/jptcp.v30i18.3500
Shared Genetic Susceptibility between Abdominal Aortic Aneurysm and Cardiometabolic TraitsPreprint
Zheng, S., Tsao, P. S., & Pan, C. (2023) · medRxiv · doi:10.1101/2023.12.05.23299523
Role of lipoprotein lipase variants in metabolic disorders and cardiovascular diseases
Rafaqat, S., Rafaqat, S., Sharif, S., & Klisic, A. N. (2024) · Arhiv za farmaciju · doi:10.5937/arhfarm74-48070
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Leite, C. C., Carneiro, C. L. F., Bona, C. R. M., Silva, F. D. S., Dias, H. L. M., Sousa, O. D. S. E., Ramos, T. M. F., & Borba, V. R. R. (2024) · EPITAYA eBooks · doi:10.47879/ed.ep.2024264p653
Leveraging drug-target Mendelian randomization for tailored lipoprotein-lipid lowering
Gagnon, É., & Arsenault, B. J. (2025) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000977
Kennedy, C., Conroy, L., Millar, B., & de Gaetano, M. (2025) · Bleeding Thrombosis and Vascular Biology · doi:10.4081/btvb.2025.187
Genetic insights and biochemical profiles in hyperlipidemia: a cohort study from Eastern Anatolia
Yaralı, O., Bayrak, M., Öğütlü, Ö. B. G., Kurnaz, E., Arslan, S., Şebin, E., & Güler, M. C. (2025) · Endocrine Research · doi:10.1080/07435800.2025.2540286
Li, W., Wang, Y., 黄日太, Feng, L., Xu, G., Wang, W., & Xue, S. (2024) · Figshare · doi:10.6084/m9.figshare.25200728
Ying, S., Heung, T., Thiruvahindrapuram, B., Engchuan, W., Yin, Y., Blagojevic, C., Zhang, Z., Hegele, R. A., Yuen, R. K. C., & Bassett, A. S. (2023) · Figshare · doi:10.6084/m9.figshare.24531914
Li, W., Wang, Y., 黄日太, Feng, L., Xu, G., Wang, W., & Xue, S. (2024) · Figshare · doi:10.6084/m9.figshare.25200645
Ying, S., Heung, T., Thiruvahindrapuram, B., Engchuan, W., Yin, Y., Blagojevic, C., Zhang, Z., Hegele, R. A., Yuen, R. K. C., & Bassett, A. S. (2024) · Figshare · doi:10.6084/m9.figshare.24532323
Li, W., Wang, Y., 黄日太, Feng, L., Xu, G., Wang, W., & Xue, S. (2024) · Figshare · doi:10.6084/m9.figshare.26679272
Nian, Q., Chang, L.-W., Yang, H., Li, J. T., Hung, S.-C., & Chen, I. (2026) · Cardio-Oncology · doi:10.1186/s40959-026-00445-7
Wilson, D. P., Vinson, A., Lewis, K., & Lopez, J. (2026) · Journal of clinical lipidology · doi:10.1016/j.jacl.2026.04.006
The Role of Some LPL Gene Polymorphisms with Cardiovascular Disease
Mathew, E. G., Nagervadze, M., Khukhunaishvili, R., Koridze, M., & Tskvitinidze, S. (2026) · WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE · doi:10.37394/23208.2026.23.18
Zahid, S., Grimes, S. N., Kim, A., Yao, Z., Peng, A. W., Blumenthal, R. S., Ahima, R. S., Arvanitis, M., Blaha, M. J., & Battle, A. J. (2026) · medRxiv · doi:10.64898/2026.05.20.26353665
Björnson, E., & Adiels, M. (2026) · Current Atherosclerosis Reports · doi:10.1007/s11883-026-01442-y
Metadata
- Authors
- Khera, A. V., Won, H.-H., Peloso, G. M., O’Dushlaine, C., Liu, D., Stitziel, N. O., Natarajan, P., Nomura, A., Emdin, C. A., Gupta, N., Borecki, I. B., Asselta, R., Duga, S., Merlini, P. A., Correa, A., Kessler, T., Wilson, J. G., Bown, M. J., Hall, A. S., Braund, P. S., Carey, D. J., Murray, M. F., Kirchner, H. L., Leader, J. B., Lavage, D. R., Manus, J. N., Hartzel, D. N., Samani, N. J., Schunkert, H., Marrugat, J., Elosua, R., McPherson, R., Farrall, M., Watkins, H., Lander, E. S., Rader, D. J., Danesh, J., Ardissino, D., Gabriel, S., Willer, C., Abecasis, G. R., Saleheen, D., Dewey, F. E., Kathiresan, S., & for the Myocardial Infarction Genetics Consortium, D. S. G.
- Affiliations
- Broad Institute (US)
- Samsung Medical Center (KR)
- Regeneron (United States) (US)
- Pennsylvania State University (US)
- Washington University in St. Louis (US)
- Humanitas University (IT)
- Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT)
- University of Mississippi Medical Center (US)
- German Centre for Cardiovascular Research (DE)
- University of Leicester (GB)
- University of Leeds (GB)
- Geisinger Health System (US)
- Hospital del Mar Research Institute (ES)
- Cardiovascular Epidemiology and Genetics, Hospital del Mar Research Institute, Barcelona, Spain
- University of Ottawa (CA)
- Centre for Human Genetics (GB)
- University of Pennsylvania (US)
- University of Cambridge (GB)
- University of Parma (IT)
- University of Michigan (US)
- Corresponding author
- Kathiresan, Sekar
- ORCID
- Khera, Amit V.
- Won, Hong-Hee
- Peloso, Gina M.
- O’Dushlaine, Colm
- Liu, Dajiang
- Stitziel, Nathan O.
- Natarajan, Pradeep
- Nomura, Akihiro
- Emdin, Connor A.
- Gupta, Namrata
- Borecki, Ingrid B.
- Asselta, Rosanna
- Duga, Stefano
- Correa, Adolfo
- Kessler, Thorsten
- Wilson, James G.
- Bown, Matthew J.
- Hall, Alistair S.
- Braund, Peter S.
- Carey, David J.
- Murray, Michael F.
- Kirchner, H. Lester
- Leader, Joseph B.
- Lavage, Daniel R.
- Hartzel, Dustin N.
- Samani, Nilesh J.
- Schunkert, Heribert
- Marrugat, Jaume
- McPherson, Ruth
- Farrall, Martin
- Watkins, Hugh
- Lander, Eric S.
- Rader, Daniel J.
- Danesh, John
- Ardissino, Diego
- Gabriel, Stacey
- Willer, Cristen
- Abecasis, Gonçalo R.
- Saleheen, Danish
- Kathiresan, Sekar
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2017-03-07
- Volume
- 317
- Issue
- 9
- Pages
- 937
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC5664181
- OpenAlex
- W2594391902
- Cited by
- 198
- References
- 46
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 18 · 2023: 15 · 2022: 15 · 2021: 26 · 2020: 29 · 2019: 18 · 2018: 29 · 2017: 13
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Apollo
- Funders
- University of Pennsylvania
- Pennsylvania State University
- University of Ottawa
- Regeneron Pharmaceuticals
- Wellcome Trust (090532/Z/09/Z)
- School of Public Health, University of Michigan
- National Institute for Health and Care Research (NF-SI-0512-10165)
- British Heart Foundation (MR/L003120/1, CS/14/2/30841, RE/13/1/30181, RG/13/13/30194, RG/08/014/24067)
- University of Leicester
- University of Oxford
- University of Leeds
- Technische Universität München
- Humanitas University
- National Institutes of Health (1rc2hl103010-01, KL2TR001100)
- Samsung
- Perelman School of Medicine, University of Pennsylvania
- Penn State College of Medicine
- Medical Research Council (MR/L01629X/1, MR/L003120/1)
- National Heart, Lung, and Blood Institute (HHSN268201300050C, R01HL127564, RC2HL102925, HHSN268201300046C, K08HL114642, RC2HL102926, RC2HL102923, HHSN268201300048C, RC2HL-103010, HHSN268201300049C, R35HL135824, K01HL125751, RC2HL102924, HHSN268201300047C, R01HL109946, R01HL131961)
- National Human Genome Research Institute (U54HG003067)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- lipoprotein lipase, LPL gene, coronary artery disease, premature coronary artery disease, rare variants, loss-of-function mutations, missense mutations, common genetic variants, plasma triglycerides, lipoprotein lipase deficiency, genetic association, serum lipids
- MeSH terms
- Adult, Coronary Artery Disease, Cross-Sectional Studies, Female, Genotype, Heterozygote, Humans, Lipoprotein Lipase, Lipoproteins, Male, Middle Aged, Mutation, Triglycerides, Odds Ratio, Case-Control Studies, Age of Onset
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