Biomedical consequences of elevated cholesterol-containing lipoproteins and apolipoproteins on cardiovascular and non-cardiovascular outcomes
Background Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and a...
Uložené v:
| Vydané v: | Communications medicine Ročník 3; číslo 1; s. 9 - 10 |
|---|---|
| Hlavní autori: | , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Nature Publishing Group UK
20.01.2023
Springer Nature B.V Nature Portfolio |
| Predmet: | |
| ISSN: | 2730-664X, 2730-664X |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Background
Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins.
Methods
Nuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR).
Results
The majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer’s disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C).
Conclusions
The cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention.
Plain language summary
It is known that increases in the amount of certain fats and proteins in the blood can lead to heart attacks. These increases are also found in people with other diseases. Here, we looked at inherited differences in some fats and proteins in blood to explore whether these could be associated with various diseases. We found that some fats and proteins in blood were associated with heart disease (including heart failure), blood pressure, blockages in blood vessels, and to a lesser extent with diabetes, Alzheimer’s disease, and inflammatory bowel disease. These findings suggest that changes to lipids and proteins in the blood might lead to various diseases, including some that are not normally associated with changes in the blood. Monitoring these changes could improve diagnosis and treatment of these diseases.
Schmidt et al. evaluate the effects of elevated circulating concentrations of cholesterol-containing lipoproteins and apolipoproteins. Effects are seen on measures of atherosclerosis, blood pressure, c-reactive protein, coronary heart disease, heart failure, Alzheimer’s disease, type 2 diabetes and inflammatory bowel disease. |
|---|---|
| AbstractList | Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins.BACKGROUNDHigher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins.Nuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR).METHODSNuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR).The majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer's disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C).RESULTSThe majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer's disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C).The cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention.CONCLUSIONSThe cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention. It is known that increases in the amount of certain fats and proteins in the blood can lead to heart attacks. These increases are also found in people with other diseases. Here, we looked at inherited differences in some fats and proteins in blood to explore whether these could be associated with various diseases. We found that some fats and proteins in blood were associated with heart disease (including heart failure), blood pressure, blockages in blood vessels, and to a lesser extent with diabetes, Alzheimer’s disease, and inflammatory bowel disease. These findings suggest that changes to lipids and proteins in the blood might lead to various diseases, including some that are not normally associated with changes in the blood. Monitoring these changes could improve diagnosis and treatment of these diseases. Schmidt et al. evaluate the effects of elevated circulating concentrations of cholesterol-containing lipoproteins and apolipoproteins. Effects are seen on measures of atherosclerosis, blood pressure, c-reactive protein, coronary heart disease, heart failure, Alzheimer’s disease, type 2 diabetes and inflammatory bowel disease. Background Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins. Methods Nuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR). Results The majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer’s disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C). Conclusions The cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention. Plain language summary It is known that increases in the amount of certain fats and proteins in the blood can lead to heart attacks. These increases are also found in people with other diseases. Here, we looked at inherited differences in some fats and proteins in blood to explore whether these could be associated with various diseases. We found that some fats and proteins in blood were associated with heart disease (including heart failure), blood pressure, blockages in blood vessels, and to a lesser extent with diabetes, Alzheimer’s disease, and inflammatory bowel disease. These findings suggest that changes to lipids and proteins in the blood might lead to various diseases, including some that are not normally associated with changes in the blood. Monitoring these changes could improve diagnosis and treatment of these diseases. Schmidt et al. evaluate the effects of elevated circulating concentrations of cholesterol-containing lipoproteins and apolipoproteins. Effects are seen on measures of atherosclerosis, blood pressure, c-reactive protein, coronary heart disease, heart failure, Alzheimer’s disease, type 2 diabetes and inflammatory bowel disease. Schmidt et al. evaluate the effects of elevated circulating concentrations of cholesterol-containing lipoproteins and apolipoproteins. Effects are seen on measures of atherosclerosis, blood pressure, c-reactive protein, coronary heart disease, heart failure, Alzheimer’s disease, type 2 diabetes and inflammatory bowel disease. BackgroundHigher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins.MethodsNuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR).ResultsThe majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer’s disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C).ConclusionsThe cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention.Plain language summaryIt is known that increases in the amount of certain fats and proteins in the blood can lead to heart attacks. These increases are also found in people with other diseases. Here, we looked at inherited differences in some fats and proteins in blood to explore whether these could be associated with various diseases. We found that some fats and proteins in blood were associated with heart disease (including heart failure), blood pressure, blockages in blood vessels, and to a lesser extent with diabetes, Alzheimer’s disease, and inflammatory bowel disease. These findings suggest that changes to lipids and proteins in the blood might lead to various diseases, including some that are not normally associated with changes in the blood. Monitoring these changes could improve diagnosis and treatment of these diseases. Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins. Nuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR). The majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer's disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C). The cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention. |
| ArticleNumber | 9 |
| Author | Price, Jackie F. Chaturvedi, Nishi Schmidt, Amand F. Charoen, Pimphen Gaunt, Tom R. Drenos, Fotios Lawlor, Deborah A. Giambartolomei, Claudia Bis, Joshua C. Finan, Chris Kivimaki, Mika Hughes, Alun D. Gordillo-Marañón, Maria Wong, Andrew Joshi, Roshni Franceschini, Nora Wannamethee, Goya Hingorani, Aroon D. |
| Author_xml | – sequence: 1 givenname: Amand F. orcidid: 0000-0003-1327-0424 surname: Schmidt fullname: Schmidt, Amand F. email: amand.schmidt@ucl.ac.uk organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre, Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam – sequence: 2 givenname: Roshni surname: Joshi fullname: Joshi, Roshni organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre – sequence: 3 givenname: Maria surname: Gordillo-Marañón fullname: Gordillo-Marañón, Maria organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre – sequence: 4 givenname: Fotios surname: Drenos fullname: Drenos, Fotios organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London – sequence: 5 givenname: Pimphen surname: Charoen fullname: Charoen, Pimphen organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Integrative Computational BioScience (ICBS) Center, Mahidol University – sequence: 6 givenname: Claudia orcidid: 0000-0003-2786-1225 surname: Giambartolomei fullname: Giambartolomei, Claudia organization: Istituto Italiano di Tecnologia, Non-coding RNAs and RNA-based Therapeutics – sequence: 7 givenname: Joshua C. orcidid: 0000-0002-3409-1110 surname: Bis fullname: Bis, Joshua C. organization: Cardiovascular Health Research Unit, Department of Medicine, University of Washington – sequence: 8 givenname: Tom R. surname: Gaunt fullname: Gaunt, Tom R. organization: MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, NIHR Bristol Biomedical Research Centre, University Hospitals Bristol National Health Service Foundation Trust and University of Bristol – sequence: 9 givenname: Alun D. orcidid: 0000-0001-5432-5271 surname: Hughes fullname: Hughes, Alun D. organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre, MRC Unit for Lifelong Health and Ageing, University College London – sequence: 10 givenname: Deborah A. surname: Lawlor fullname: Lawlor, Deborah A. organization: MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, NIHR Bristol Biomedical Research Centre, University Hospitals Bristol National Health Service Foundation Trust and University of Bristol, Population Health, Bristol Medical School, University of Bristol – sequence: 11 givenname: Andrew surname: Wong fullname: Wong, Andrew organization: MRC Unit for Lifelong Health and Ageing, University College London – sequence: 12 givenname: Jackie F. surname: Price fullname: Price, Jackie F. organization: Usher Institute, University of Edinburgh – sequence: 13 givenname: Nishi surname: Chaturvedi fullname: Chaturvedi, Nishi organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, MRC Unit for Lifelong Health and Ageing, University College London – sequence: 14 givenname: Goya surname: Wannamethee fullname: Wannamethee, Goya organization: Primary Care and Population Health, University College London – sequence: 15 givenname: Nora surname: Franceschini fullname: Franceschini, Nora organization: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina – sequence: 16 givenname: Mika orcidid: 0000-0002-4699-5627 surname: Kivimaki fullname: Kivimaki, Mika organization: Department of Mental Health of Older People, Division of Brain Sciences, University College London – sequence: 17 givenname: Aroon D. orcidid: 0000-0001-8365-0081 surname: Hingorani fullname: Hingorani, Aroon D. organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre – sequence: 18 givenname: Chris orcidid: 0000-0002-3319-1937 surname: Finan fullname: Finan, Chris organization: Institute of Cardiovascular Science, Faculty of Population Health, University College London, UCL BHF Research Accelerator Centre, Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36670186$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9ks1u1DAUhSNUREvpC7BAkdiwCfgvjr1BgoqfSpXYgMTOumPfTD3y2IOdjMRD8M64My10ZtGV45vvHJ17fZ83JzFFbJqXlLylhKt3RXDVy44w1hHCuOjIk-aMDZx0UoqfJw--T5uLUlakUoPUQpFnzSmXciBUybPmz0ef1ui8hdDaFAv-mjFaLG0aWwy4hQlda29SwDJhTqGr0AQ--rhsg9-kTU4T-lhaiK6FTTqopdhayM6nLRQ7B8g7qjbSHZXTPNkao7xono4QCl7cnefNj8-fvl9-7a6_fbm6_HDd2V6QqZOge5Dc9ZoJxQSOxDEn9Fg71kpxpDAKwbHemCOAgi2EVlZIjSCdogM_b672vi7BymyyX0P-bRJ4syukvDSQJ28DGhBKEOCaWaCCjU4tejlwjRIWnPU9Vq_3e6_NvKiTtBinDOHA9PBP9DdmmbZGq14rqqvBmzuDnOr0y2TWvlgMASKmuZj6bLVJwWlf0ddH6CrNOdZR3VIDH3rKaaVePUz0L8r9q1dA7QGbUykZR2P9BJNPtwF9MJSY2x0z-x0zdcfMbscMqVJ2JL13f1TE96JS4bjE_D_2I6q_beHnMg |
| CitedBy_id | crossref_primary_10_1080_07391102_2023_2188962 crossref_primary_10_26641_2307_0404_2024_2_307572 crossref_primary_10_3389_fmed_2024_1334865 crossref_primary_10_1038_s44325_025_00073_7 crossref_primary_10_3390_biomedicines11071961 crossref_primary_10_1007_s11357_023_00918_y crossref_primary_10_1016_j_lfs_2025_123883 crossref_primary_10_1136_egastro_2023_100034 crossref_primary_10_1093_aje_kwae445 crossref_primary_10_3390_foods13244113 crossref_primary_10_1021_acs_analchem_4c03229 crossref_primary_10_1038_s41574_025_01142_8 crossref_primary_10_2174_0115665240294605240426123650 crossref_primary_10_1016_j_atherosclerosis_2024_118614 crossref_primary_10_3390_nu15133002 crossref_primary_10_1016_j_physe_2025_116191 |
| Cites_doi | 10.1038/s41580-019-0190-7 10.1371/journal.pone.0071345 10.1016/S1474-4422(19)30320-5 10.1038/nature12873 10.1111/1467-9868.00346 10.1038/s41588-018-0311-9 10.1038/ng.717 10.1056/NEJMoa2004215 10.1161/CIRCGENETICS.108.829747 10.1093/ije/dyr036 10.1038/ng.764 10.1038/s41588-018-0171-3 10.1038/s41588-019-0407-x 10.1002/sim.9133 10.1038/s41467-020-16969-0 10.1016/j.brainresrev.2005.11.007 10.1093/aje/kwu283 10.1038/s41467-019-13870-3 10.1093/ije/dyy101 10.1371/journal.pmed.1003062 10.1111/jth.13925 10.1161/CIRCULATIONAHA.114.013116 10.1038/nn0403-345 10.1093/aje/kwv017 10.2307/1937887 10.1038/s41588-018-0084-1 10.1097/MIB.0000000000000394 10.1038/ncomms11122 10.1002/sim.6835 10.1002/gepi.22077 10.1002/sim.7221 10.1038/s41588-018-0205-x 10.1016/S0140-6736(12)60312-2 10.1016/j.stem.2018.12.013 10.1136/bmj.311.7003.485 10.1038/nature11582 10.1056/NEJMoa1507652 10.1093/ije/dyy262 10.1038/s41467-019-13690-5 10.1136/heartjnl-2017-312858 10.1038/s41586-020-2649-2 10.1016/j.trci.2018.06.014 10.1038/s12276-022-00725-z 10.1038/s41467-021-25703-3 10.1056/NEJMoa1615664 10.1038/ng.3622 10.1038/ng.2797 10.1038/s41467-020-18246-6 10.1001/jama.2009.1619 10.1002/gepi.21998 10.1093/eurheartj/eht571 10.1038/ncomms9019 10.1136/bmj.k601 10.1002/14651858.CD011748.pub3 10.1038/s41569-018-0052-6 10.1016/j.atherosclerosis.2015.04.076 10.1177/2047487319899621 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2023 2023. The Author(s). The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2023 – notice: 2023. The Author(s). – notice: The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION NPM 3V. 7X7 7XB 88C 88E 8C1 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M0T M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.1038/s43856-022-00234-0 |
| DatabaseName | Springer Nature OA Free Journals CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Healthcare Administration Database (Alumni) Medical Database (Alumni Edition) Public Health Database ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection (UHCL Subscription) Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Healthcare Administration Database Medical Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Public Health ProQuest One Academic Eastern Edition ProQuest Health Management ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest Health Management (Alumni Edition) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Publicly Available Content Database PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 2730-664X |
| EndPage | 10 |
| ExternalDocumentID | oai_doaj_org_article_a4840a392ca142fd8b56739e6ab3255e PMC9859819 36670186 10_1038_s43856_022_00234_0 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: British Heart Foundation (BHF) grantid: PG/22/10989 funderid: https://doi.org/10.13039/501100000274 – fundername: Medical Research Council grantid: MC_UU_00011/6 – fundername: British Heart Foundation grantid: CS/13/1/30327 – fundername: Medical Research Council grantid: MR/V033867/1 – fundername: Medical Research Council grantid: MR/R024227/1 – fundername: Medical Research Council grantid: MC_UU_00011/4 – fundername: Medical Research Council grantid: MC_UU_12019/1 – fundername: British Heart Foundation grantid: CH/F/20/90003 – fundername: Medical Research Council grantid: MC_PC_17228 – fundername: British Heart Foundation grantid: PG/18/50/33837 – fundername: British Heart Foundation grantid: RG/19/4/34452 – fundername: ; grantid: PG/22/10989 |
| GroupedDBID | 0R~ 53G 7X7 88E 8C1 8FI 8FJ AAJSJ ABUWG ACLNF ACSMW AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS BENPR C6C CCPQU EBLON FYUFA GROUPED_DOAJ HMCUK M0T M1P M~E NAO OK1 PGMZT PIMPY PSQYO RPM SNYQT UKHRP AASML AAYXX AFFHD CITATION PHGZM PHGZT PJZUB PPXIY NPM 3V. 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQQKQ PQUKI PRINS 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c540t-6a95a63d5924824ef0d2d49f7309883e1af443e3092d0ae42b498c469ea6d8173 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 16 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000942319100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2730-664X |
| IngestDate | Tue Oct 14 19:09:00 EDT 2025 Tue Nov 04 02:06:44 EST 2025 Fri Sep 05 10:06:49 EDT 2025 Tue Oct 07 07:12:10 EDT 2025 Mon Jul 21 05:18:26 EDT 2025 Sat Nov 29 06:14:17 EST 2025 Tue Nov 18 22:30:37 EST 2025 Fri Feb 21 02:37:43 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2023. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c540t-6a95a63d5924824ef0d2d49f7309883e1af443e3092d0ae42b498c469ea6d8173 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0001-5432-5271 0000-0003-1327-0424 0000-0003-2786-1225 0000-0002-3409-1110 0000-0001-8365-0081 0000-0002-4699-5627 0000-0002-3319-1937 |
| OpenAccessLink | https://www.proquest.com/docview/2767375131?pq-origsite=%requestingapplication% |
| PMID | 36670186 |
| PQID | 2767375131 |
| PQPubID | 5642959 |
| PageCount | 10 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_a4840a392ca142fd8b56739e6ab3255e pubmedcentral_primary_oai_pubmedcentral_nih_gov_9859819 proquest_miscellaneous_2768244315 proquest_journals_2767375131 pubmed_primary_36670186 crossref_citationtrail_10_1038_s43856_022_00234_0 crossref_primary_10_1038_s43856_022_00234_0 springer_journals_10_1038_s43856_022_00234_0 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-01-20 |
| PublicationDateYYYYMMDD | 2023-01-20 |
| PublicationDate_xml | – month: 01 year: 2023 text: 2023-01-20 day: 20 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Communications medicine |
| PublicationTitleAbbrev | Commun Med |
| PublicationTitleAlternate | Commun Med (Lond) |
| PublicationYear | 2023 |
| Publisher | Nature Publishing Group UK Springer Nature B.V Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Springer Nature B.V – name: Nature Portfolio |
| References | Sanderson, Davey Smith, Windmeijer, Bowden (CR19) 2019; 48 Burgess, Zuber, Valdes-Marquez, Sun, Hopewell (CR25) 2017; 41 Fan (CR4) 2015; 21 Storey (CR33) 2002; 64 Evangelou (CR46) 2018; 50 CR35 CR34 White (CR3) 2016; 366 Shah (CR52) 2020; 11 Shah (CR20) 2013; 8 Harris (CR29) 2020; 585 Franke (CR56) 2010; 42 Koh (CR5) 2022; 54 Willer (CR21) 2013; 45 Panza (CR2) 2006; 51 Sabatine (CR14) 2017; 376 Jostins (CR55) 2012; 491 CR6 CR7 Schmidt (CR13) 2021; 12 Voight (CR36) 2012; 380 CR9 Psaty (CR49) 2009; 2 CR40 Bowden (CR27) 2017; 36 Burgess, Dudbridge, Thompson (CR26) 2016; 35 Nalls (CR62) 2019; 18 Luo, Yang, Song (CR38) 2020; 21 Zuber, Colijn, Klaver, Burgess (CR32) 2020; 11 Rashkin (CR63) 2020; 11 Bowden (CR28) 2018; 47 Jansen (CR61) 2019; 51 Holmes (CR39) 2015; 36 Wuttke (CR47) 2019; 51 Nielsen (CR53) 2018; 50 Sanderson, Spiller, Bowden (CR31) 2021; 40 Raal (CR12) 2020; 383 van Rheenen (CR60) 2016; 48 (CR1) 2009; 302 CR16 CR59 CR10 Cordell (CR48) 2015; 6 CR51 Schmidt (CR23) 2020; 11 Obermayer, Afonyushkin, Binder (CR43) 2018; 16 Kettunen (CR15) 2016; 7 Farrar, Glauber (CR30) 1967; 49 Burgess, Davies, Thompson (CR22) 2016; 40 Mahajan (CR54) 2018; 50 Altman, Bland (CR45) 1995; 311 Burgess, Thompson (CR24) 2011; 40 (CR50) 2016; 374 Schmidt, Pearce, Wilkins, Casas, Hingorani (CR8) 2018; 104 van der Kant (CR41) 2019; 24 Puglielli, Tanzi, Kovacs (CR42) 2003; 6 Kinney (CR44) 2018; 4 Okada (CR58) 2014; 506 Anderson (CR57) 2011; 43 Burgess, Thompson (CR18) 2015; 181 Richardson (CR37) 2020; 17 Burgess, Dudbridge, Thompson (CR17) 2015; 181 Würtz (CR11) 2015; 131 S Burgess (234_CR26) 2016; 35 A Mahajan (234_CR54) 2018; 50 S Burgess (234_CR18) 2015; 181 MV Holmes (234_CR39) 2015; 36 TG Richardson (234_CR37) 2020; 17 F Panza (234_CR2) 2006; 51 MA Nalls (234_CR62) 2019; 18 A Franke (234_CR56) 2010; 42 F Fan (234_CR4) 2015; 21 AF Schmidt (234_CR13) 2021; 12 234_CR59 234_CR10 234_CR51 Y Okada (234_CR58) 2014; 506 JB Nielsen (234_CR53) 2018; 50 CR Harris (234_CR29) 2020; 585 S Burgess (234_CR24) 2011; 40 DG Altman (234_CR45) 1995; 311 J Kettunen (234_CR15) 2016; 7 J Luo (234_CR38) 2020; 21 M Wuttke (234_CR47) 2019; 51 J White (234_CR3) 2016; 366 S Burgess (234_CR22) 2016; 40 J Bowden (234_CR27) 2017; 36 E Sanderson (234_CR19) 2019; 48 S Burgess (234_CR25) 2017; 41 234_CR40 JD Storey (234_CR33) 2002; 64 BM Psaty (234_CR49) 2009; 2 FJ Raal (234_CR12) 2020; 383 V Zuber (234_CR32) 2020; 11 L Puglielli (234_CR42) 2003; 6 Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators. (234_CR50) 2016; 374 L Jostins (234_CR55) 2012; 491 T Shah (234_CR20) 2013; 8 MS Sabatine (234_CR14) 2017; 376 R van der Kant (234_CR41) 2019; 24 234_CR34 234_CR35 JH Koh (234_CR5) 2022; 54 S Burgess (234_CR17) 2015; 181 AF Schmidt (234_CR23) 2020; 11 E Evangelou (234_CR46) 2018; 50 CJ Willer (234_CR21) 2013; 45 G Obermayer (234_CR43) 2018; 16 JW Kinney (234_CR44) 2018; 4 HJ Cordell (234_CR48) 2015; 6 IE Jansen (234_CR61) 2019; 51 AF Schmidt (234_CR8) 2018; 104 DE Farrar (234_CR30) 1967; 49 BF Voight (234_CR36) 2012; 380 P Würtz (234_CR11) 2015; 131 234_CR16 S Shah (234_CR52) 2020; 11 CA Anderson (234_CR57) 2011; 43 W van Rheenen (234_CR60) 2016; 48 234_CR9 234_CR7 E Sanderson (234_CR31) 2021; 40 SR Rashkin (234_CR63) 2020; 11 The Emerging Risk Factors Collaboration. (234_CR1) 2009; 302 234_CR6 J Bowden (234_CR28) 2018; 47 |
| References_xml | – volume: 21 start-page: 225 year: 2020 end-page: 245 ident: CR38 article-title: Mechanisms and regulation of cholesterol homeostasis publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/s41580-019-0190-7 – volume: 8 start-page: e71345 year: 2013 ident: CR20 article-title: Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium publication-title: PloS One doi: 10.1371/journal.pone.0071345 – volume: 366 start-page: 1108 year: 2016 end-page: 1118 ident: CR3 article-title: Association of lipid fractions with risks for coronary artery disease and diabetes publication-title: JAMA Cardiol. – volume: 18 start-page: 1091 year: 2019 end-page: 1102 ident: CR62 article-title: Identification of novel risk loci, causal insights, and heritable risk for Parkinson’s disease: a meta-analysis of genome-wide association studies publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(19)30320-5 – ident: CR16 – ident: CR51 – volume: 506 start-page: 376 year: 2014 end-page: 381 ident: CR58 article-title: Genetics of rheumatoid arthritis contributes to biology and drug discovery publication-title: Nature doi: 10.1038/nature12873 – volume: 64 start-page: 479 year: 2002 end-page: 498 ident: CR33 article-title: A direct approach to false discovery rates publication-title: J. R. Stat. Soc. Ser. B: Stat. Methodol. doi: 10.1111/1467-9868.00346 – ident: CR35 – volume: 51 start-page: 404 year: 2019 end-page: 413 ident: CR61 article-title: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk publication-title: Nat. Genet. doi: 10.1038/s41588-018-0311-9 – volume: 42 start-page: 1118 year: 2010 end-page: 1125 ident: CR56 article-title: Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci publication-title: Nat. Genet. doi: 10.1038/ng.717 – volume: 383 start-page: 711 year: 2020 end-page: 720 ident: CR12 article-title: Evinacumab for homozygous familial hypercholesterolemia publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa2004215 – volume: 2 start-page: 73 year: 2009 end-page: 80 ident: CR49 article-title: Cohorts for heart and aging research in genomic epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from five cohorts publication-title: Circ. Cardiovasc. Genet. doi: 10.1161/CIRCGENETICS.108.829747 – volume: 40 start-page: 755 year: 2011 end-page: 764 ident: CR24 article-title: Avoiding bias from weak instruments in mendelian randomization studies publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyr036 – volume: 43 start-page: 246 year: 2011 end-page: 252 ident: CR57 article-title: Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47 publication-title: Nat. Genet. doi: 10.1038/ng.764 – volume: 50 start-page: 1234 year: 2018 end-page: 1239 ident: CR53 article-title: Biobank-driven genomic discovery yields new insight into atrial fibrillation biology publication-title: Nat. Genet. doi: 10.1038/s41588-018-0171-3 – volume: 51 start-page: 957 year: 2019 end-page: 972 ident: CR47 article-title: A catalog of genetic loci associated with kidney function from analyses of a million individuals publication-title: Nat. Genet. doi: 10.1038/s41588-019-0407-x – volume: 40 start-page: 5434 year: 2021 end-page: 5452 ident: CR31 article-title: Testing and correcting for weak and pleiotropic instruments in two-sample multivariable Mendelian randomization publication-title: Stat. Med. doi: 10.1002/sim.9133 – ident: CR9 – volume: 11 year: 2020 ident: CR23 article-title: Genetic drug target validation using Mendelian randomisation publication-title: Nat. Commun. doi: 10.1038/s41467-020-16969-0 – volume: 51 start-page: 275 year: 2006 end-page: 292 ident: CR2 article-title: Lipid metabolism in cognitive decline and dementia publication-title: Brain Res. Rev doi: 10.1016/j.brainresrev.2005.11.007 – volume: 181 start-page: 251 year: 2015 end-page: 260 ident: CR18 article-title: Multivariable Mendelian randomization: The use of pleiotropic genetic variants to estimate causal effects publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwu283 – volume: 11 start-page: 1 year: 2020 end-page: 11 ident: CR32 article-title: Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization publication-title: Nat. Commun. doi: 10.1038/s41467-019-13870-3 – volume: 47 start-page: 1264 year: 2018 end-page: 1278 ident: CR28 article-title: Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression publication-title: Int. J. Epidemiol doi: 10.1093/ije/dyy101 – volume: 17 start-page: e1003062 year: 2020 ident: CR37 article-title: Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis publication-title: PLOS Med. doi: 10.1371/journal.pmed.1003062 – volume: 16 start-page: 418 year: 2018 end-page: 428 ident: CR43 article-title: Oxidized low-density lipoprotein in inflammation-driven thrombosis publication-title: J. Thromb. Haemost. doi: 10.1111/jth.13925 – volume: 131 start-page: 774 year: 2015 end-page: 785 ident: CR11 article-title: Metabolite profiling and cardiovascular event risk: a prospective study of three population-based cohorts publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.114.013116 – volume: 6 start-page: 345 year: 2003 end-page: 351 ident: CR42 article-title: Alzheimer’s disease: the cholesterol connection publication-title: Nat. Neurosci. doi: 10.1038/nn0403-345 – volume: 181 start-page: 290 year: 2015 end-page: 291 ident: CR17 article-title: Re: “Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects” publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwv017 – volume: 49 start-page: 92 year: 1967 end-page: 107 ident: CR30 article-title: Multicollinearity in regression analysis: the problem revisited publication-title: Rev. Econ. Stat. doi: 10.2307/1937887 – volume: 50 start-page: 559 year: 2018 end-page: 571 ident: CR54 article-title: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes publication-title: Nat. Genet. doi: 10.1038/s41588-018-0084-1 – volume: 21 start-page: 1511 year: 2015 end-page: 1518 ident: CR4 article-title: Lipidomic profiling in inflammatory bowel disease: comparison between ulcerative colitis and Crohn’s disease publication-title: Inflamm Bowel Dis. doi: 10.1097/MIB.0000000000000394 – volume: 7 start-page: 1 year: 2016 end-page: 9 ident: CR15 article-title: Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA publication-title: Nat. Commun. doi: 10.1038/ncomms11122 – volume: 35 start-page: 1880 year: 2016 end-page: 1906 ident: CR26 article-title: Combining information on multiple instrumental variables in Mendelian randomization: Comparison of allele score and summarized data methods publication-title: Stat. Med. doi: 10.1002/sim.6835 – volume: 41 start-page: 714 year: 2017 end-page: 725 ident: CR25 article-title: Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables publication-title: Genetic Epidemiol. doi: 10.1002/gepi.22077 – volume: 36 start-page: 1783 year: 2017 end-page: 1802 ident: CR27 article-title: A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization publication-title: Stat. Med. doi: 10.1002/sim.7221 – ident: CR10 – volume: 50 start-page: 1412 year: 2018 end-page: 1425 ident: CR46 article-title: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits publication-title: Nat. Genet. doi: 10.1038/s41588-018-0205-x – volume: 380 start-page: 572 year: 2012 end-page: 580 ident: CR36 article-title: Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study publication-title: The Lancet doi: 10.1016/S0140-6736(12)60312-2 – volume: 24 start-page: 363 year: 2019 end-page: 375.e9 ident: CR41 article-title: Cholesterol metabolism is a druggable axis that independently regulates tau and amyloid-β in iPSC-derived Alzheimer’s disease neurons publication-title: Cell Stem Cell doi: 10.1016/j.stem.2018.12.013 – volume: 311 start-page: 485 year: 1995 end-page: 485 ident: CR45 article-title: Statistics notes: Absence of evidence is not evidence of absence publication-title: Br. Med. J. doi: 10.1136/bmj.311.7003.485 – ident: CR6 – volume: 491 start-page: 119 year: 2012 end-page: 124 ident: CR55 article-title: Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease publication-title: Nature doi: 10.1038/nature11582 – volume: 374 start-page: 1134 year: 2016 end-page: 1144 ident: CR50 article-title: Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa1507652 – volume: 48 start-page: 713 year: 2019 end-page: 727 ident: CR19 article-title: An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings publication-title: Int. J. Epidemiol doi: 10.1093/ije/dyy262 – ident: CR40 – volume: 11 start-page: 1 year: 2020 end-page: 12 ident: CR52 article-title: Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure publication-title: Nat. Commun. doi: 10.1038/s41467-019-13690-5 – volume: 104 start-page: 1053 LP year: 2018 end-page: 1051055 ident: CR8 article-title: Cochrane corner: PCSK9 monoclonal antibodies for the primary and secondary prevention of cardiovascular disease publication-title: Heart doi: 10.1136/heartjnl-2017-312858 – volume: 585 start-page: 357 year: 2020 end-page: 362 ident: CR29 article-title: Array programming with NumPy publication-title: Nature doi: 10.1038/s41586-020-2649-2 – volume: 4 start-page: 575 year: 2018 end-page: 590 ident: CR44 article-title: Inflammation as a central mechanism in Alzheimer’s disease publication-title: Alzheimers Dement doi: 10.1016/j.trci.2018.06.014 – volume: 54 start-page: 143 year: 2022 end-page: 155 ident: CR5 article-title: Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis publication-title: Exp. Mol. Med. doi: 10.1038/s12276-022-00725-z – volume: 12 year: 2021 ident: CR13 article-title: Cholesteryl ester transfer protein (CETP) as a drug target for cardiovascular disease publication-title: Nat. Commun doi: 10.1038/s41467-021-25703-3 – volume: 376 start-page: 1713 year: 2017 end-page: 1722 ident: CR14 article-title: Evolocumab and clinical outcomes in patients with cardiovascular disease publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa1615664 – volume: 48 start-page: 1043 year: 2016 end-page: 1048 ident: CR60 article-title: Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis publication-title: Nat. Genet. doi: 10.1038/ng.3622 – volume: 45 start-page: 1274 year: 2013 end-page: 1283 ident: CR21 article-title: Discovery and refinement of loci associated with lipid levels publication-title: Nat. Genet doi: 10.1038/ng.2797 – volume: 11 year: 2020 ident: CR63 article-title: Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts publication-title: Nat. Commun doi: 10.1038/s41467-020-18246-6 – ident: CR34 – volume: 302 start-page: 1993 year: 2009 end-page: 2000 ident: CR1 article-title: Major lipids, apolipoproteins, and risk of vascular disease publication-title: JAMA doi: 10.1001/jama.2009.1619 – ident: CR7 – ident: CR59 – volume: 40 start-page: 597 year: 2016 end-page: 608 ident: CR22 article-title: Bias due to participant overlap in two-sample Mendelian randomization publication-title: Genet. Epidemiol. doi: 10.1002/gepi.21998 – volume: 36 start-page: 539 year: 2015 end-page: 550 ident: CR39 article-title: Mendelian randomization of blood lipids for coronary heart disease publication-title: Eur. Heart J. doi: 10.1093/eurheartj/eht571 – volume: 6 year: 2015 ident: CR48 article-title: International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways publication-title: Nat. Commun. doi: 10.1038/ncomms9019 – volume: 376 start-page: 1713 year: 2017 ident: 234_CR14 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa1615664 – volume: 11 year: 2020 ident: 234_CR23 publication-title: Nat. Commun. doi: 10.1038/s41467-020-16969-0 – volume: 48 start-page: 713 year: 2019 ident: 234_CR19 publication-title: Int. J. Epidemiol doi: 10.1093/ije/dyy262 – volume: 36 start-page: 539 year: 2015 ident: 234_CR39 publication-title: Eur. Heart J. doi: 10.1093/eurheartj/eht571 – volume: 43 start-page: 246 year: 2011 ident: 234_CR57 publication-title: Nat. Genet. doi: 10.1038/ng.764 – volume: 36 start-page: 1783 year: 2017 ident: 234_CR27 publication-title: Stat. Med. doi: 10.1002/sim.7221 – ident: 234_CR59 – volume: 51 start-page: 404 year: 2019 ident: 234_CR61 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0311-9 – volume: 11 start-page: 1 year: 2020 ident: 234_CR32 publication-title: Nat. Commun. doi: 10.1038/s41467-019-13870-3 – volume: 11 start-page: 1 year: 2020 ident: 234_CR52 publication-title: Nat. Commun. doi: 10.1038/s41467-019-13690-5 – volume: 24 start-page: 363 year: 2019 ident: 234_CR41 publication-title: Cell Stem Cell doi: 10.1016/j.stem.2018.12.013 – volume: 2 start-page: 73 year: 2009 ident: 234_CR49 publication-title: Circ. Cardiovasc. Genet. doi: 10.1161/CIRCGENETICS.108.829747 – volume: 366 start-page: 1108 year: 2016 ident: 234_CR3 publication-title: JAMA Cardiol. – volume: 8 start-page: e71345 year: 2013 ident: 234_CR20 publication-title: PloS One doi: 10.1371/journal.pone.0071345 – volume: 374 start-page: 1134 year: 2016 ident: 234_CR50 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa1507652 – volume: 45 start-page: 1274 year: 2013 ident: 234_CR21 publication-title: Nat. Genet doi: 10.1038/ng.2797 – volume: 40 start-page: 597 year: 2016 ident: 234_CR22 publication-title: Genet. Epidemiol. doi: 10.1002/gepi.21998 – volume: 47 start-page: 1264 year: 2018 ident: 234_CR28 publication-title: Int. J. Epidemiol doi: 10.1093/ije/dyy101 – ident: 234_CR16 doi: 10.1136/bmj.k601 – volume: 7 start-page: 1 year: 2016 ident: 234_CR15 publication-title: Nat. Commun. doi: 10.1038/ncomms11122 – volume: 48 start-page: 1043 year: 2016 ident: 234_CR60 publication-title: Nat. Genet. doi: 10.1038/ng.3622 – volume: 6 year: 2015 ident: 234_CR48 publication-title: Nat. Commun. doi: 10.1038/ncomms9019 – volume: 35 start-page: 1880 year: 2016 ident: 234_CR26 publication-title: Stat. Med. doi: 10.1002/sim.6835 – volume: 41 start-page: 714 year: 2017 ident: 234_CR25 publication-title: Genetic Epidemiol. doi: 10.1002/gepi.22077 – volume: 311 start-page: 485 year: 1995 ident: 234_CR45 publication-title: Br. Med. J. doi: 10.1136/bmj.311.7003.485 – volume: 40 start-page: 755 year: 2011 ident: 234_CR24 publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyr036 – ident: 234_CR9 doi: 10.1002/14651858.CD011748.pub3 – volume: 506 start-page: 376 year: 2014 ident: 234_CR58 publication-title: Nature doi: 10.1038/nature12873 – volume: 11 year: 2020 ident: 234_CR63 publication-title: Nat. Commun doi: 10.1038/s41467-020-18246-6 – volume: 104 start-page: 1053 LP year: 2018 ident: 234_CR8 publication-title: Heart doi: 10.1136/heartjnl-2017-312858 – volume: 21 start-page: 225 year: 2020 ident: 234_CR38 publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/s41580-019-0190-7 – volume: 51 start-page: 275 year: 2006 ident: 234_CR2 publication-title: Brain Res. Rev doi: 10.1016/j.brainresrev.2005.11.007 – volume: 21 start-page: 1511 year: 2015 ident: 234_CR4 publication-title: Inflamm Bowel Dis. doi: 10.1097/MIB.0000000000000394 – volume: 40 start-page: 5434 year: 2021 ident: 234_CR31 publication-title: Stat. Med. doi: 10.1002/sim.9133 – volume: 64 start-page: 479 year: 2002 ident: 234_CR33 publication-title: J. R. Stat. Soc. Ser. B: Stat. Methodol. doi: 10.1111/1467-9868.00346 – volume: 49 start-page: 92 year: 1967 ident: 234_CR30 publication-title: Rev. Econ. Stat. doi: 10.2307/1937887 – volume: 380 start-page: 572 year: 2012 ident: 234_CR36 publication-title: The Lancet doi: 10.1016/S0140-6736(12)60312-2 – volume: 50 start-page: 1412 year: 2018 ident: 234_CR46 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0205-x – volume: 491 start-page: 119 year: 2012 ident: 234_CR55 publication-title: Nature doi: 10.1038/nature11582 – volume: 12 year: 2021 ident: 234_CR13 publication-title: Nat. Commun doi: 10.1038/s41467-021-25703-3 – volume: 50 start-page: 1234 year: 2018 ident: 234_CR53 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0171-3 – volume: 181 start-page: 290 year: 2015 ident: 234_CR17 publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwv017 – volume: 42 start-page: 1118 year: 2010 ident: 234_CR56 publication-title: Nat. Genet. doi: 10.1038/ng.717 – ident: 234_CR34 – volume: 131 start-page: 774 year: 2015 ident: 234_CR11 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.114.013116 – volume: 4 start-page: 575 year: 2018 ident: 234_CR44 publication-title: Alzheimers Dement doi: 10.1016/j.trci.2018.06.014 – volume: 16 start-page: 418 year: 2018 ident: 234_CR43 publication-title: J. Thromb. Haemost. doi: 10.1111/jth.13925 – volume: 302 start-page: 1993 year: 2009 ident: 234_CR1 publication-title: JAMA doi: 10.1001/jama.2009.1619 – ident: 234_CR6 – volume: 54 start-page: 143 year: 2022 ident: 234_CR5 publication-title: Exp. Mol. Med. doi: 10.1038/s12276-022-00725-z – volume: 17 start-page: e1003062 year: 2020 ident: 234_CR37 publication-title: PLOS Med. doi: 10.1371/journal.pmed.1003062 – ident: 234_CR7 doi: 10.1038/s41569-018-0052-6 – ident: 234_CR51 – volume: 51 start-page: 957 year: 2019 ident: 234_CR47 publication-title: Nat. Genet. doi: 10.1038/s41588-019-0407-x – volume: 181 start-page: 251 year: 2015 ident: 234_CR18 publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwu283 – ident: 234_CR35 – volume: 585 start-page: 357 year: 2020 ident: 234_CR29 publication-title: Nature doi: 10.1038/s41586-020-2649-2 – volume: 6 start-page: 345 year: 2003 ident: 234_CR42 publication-title: Nat. Neurosci. doi: 10.1038/nn0403-345 – volume: 50 start-page: 559 year: 2018 ident: 234_CR54 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0084-1 – ident: 234_CR40 doi: 10.1016/j.atherosclerosis.2015.04.076 – ident: 234_CR10 doi: 10.1177/2047487319899621 – volume: 18 start-page: 1091 year: 2019 ident: 234_CR62 publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(19)30320-5 – volume: 383 start-page: 711 year: 2020 ident: 234_CR12 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa2004215 |
| SSID | ssj0002769480 |
| Score | 2.3223531 |
| Snippet | Background
Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association... Higher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C... BackgroundHigher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of... It is known that increases in the amount of certain fats and proteins in the blood can lead to heart attacks. These increases are also found in people with... Schmidt et al. evaluate the effects of elevated circulating concentrations of cholesterol-containing lipoproteins and apolipoproteins. Effects are seen on... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 9 |
| SubjectTerms | 631/208/205/2138 631/45/287 692/308/174 692/53 Apolipoproteins Bias Cardiovascular disease Lipids Medicine Medicine & Public Health |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Nb9UwDLfQhBAXBOOrMKYgcYNqbZLm48gQ0w4wcQC0W5Q2rnjoqZ3W9_Zf8D_jpH2P18HgwrFp2lr2z4ldOzbAK44BKy3j0S2rcim0zH3JFelV49Hz4ENq3_b1gz47M-fn9tNOq6-YEzaWBx4Zd-QluSCedvHGl5K3wdSV0sKi8rUgcxjj6ktWz44z9T2F05SVpphOyRTCHA1SmCrm2_I87lMyL2Y7USrY_ycr8_dkyWsR07QRndyHe5MFyd6OlD-AW9jtw52PU4z8Ifw4TifqI_NZs5MrzfqWxcPkZFwGFhe9VCOhX-YxW33sE8GWi4s-VW5YdAPzXWA-NnHYGes71swyWNOsru_ya8P9ekVYxuERfDl5__ndaT41XcgbMt5WufK28kqEihwzwyW2ReBB2pZWAmuMwNK3UgqkKx4Kj5LX0pqGnGz0KphSi8ewR1_Fp8BMawwtpU1tLcpSt3VhsQ6yDlwhNzVmUG4E4JqpInlsjLF0KTIujBuF5khoLgnNFRm83j5zMdbj-Ovs4yjX7cxYSzsNEMLchDD3L4RlcLBBhZsUfHAEMC10VYoyg5fb26SaMd7iO-zXaQ5xkCy0KoMnI4i2lAildFEalYGewWtG6vxOt_iWyn9bU1my4zJ4swHiL7JuZsWz_8GK53CX0-viLyheHMDe6nKNL-B2c7VaDJeHSQV_AuecNjw priority: 102 providerName: Directory of Open Access Journals |
| Title | Biomedical consequences of elevated cholesterol-containing lipoproteins and apolipoproteins on cardiovascular and non-cardiovascular outcomes |
| URI | https://link.springer.com/article/10.1038/s43856-022-00234-0 https://www.ncbi.nlm.nih.gov/pubmed/36670186 https://www.proquest.com/docview/2767375131 https://www.proquest.com/docview/2768244315 https://pubmed.ncbi.nlm.nih.gov/PMC9859819 https://doaj.org/article/a4840a392ca142fd8b56739e6ab3255e |
| Volume | 3 |
| WOSCitedRecordID | wos000942319100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: DOA dateStart: 20210101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: M~E dateStart: 20210101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection (ProQuest) customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: 7X7 dateStart: 20211201 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Healthcare Administration Database customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: M0T dateStart: 20211201 isFulltext: true titleUrlDefault: https://search.proquest.com/healthmanagement providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: BENPR dateStart: 20211201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database (ProQuest) customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: 8C1 dateStart: 20211201 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2730-664X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002769480 issn: 2730-664X databaseCode: PIMPY dateStart: 20211201 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR1dj9MwzOJ2CPHC90fhmIrEG1SXJmmbPCF2uhNIbJrQgcZTlTYpTJrasW78C_4zTpr1rgfcCy-RmjhqEjuOYzs2wCtqtEkybp9uyTTiLOORimmK-6pURlGttEvf9uVjNpuJxULOvcKt9W6Ve57oGLVuSqsjP6aZzaiSxCx-u_4R2axR1rrqU2gcwKGNVMZHcDg5nc0_9VoW7CW5IP61DGHiuOVMJNbvlkb2vOIRGZxILnD_36TNP50mr1hO3YF0dvd_p3IP7nhRNHzX0c59uGHqB3Br6o3tD-HXxD3Nt1gMy0tO12FThfZVOkqpOrTc0wVbaFaRdXvvEk6Eq-W6cSEglnUbqlqHymaDuFTX1GE5cIV1UHVTR1eqm90WZ2XaR_D57PT85H3kszdEJUqB2yhVMlEp0wne8ATlpiKaai4rZClSCGZiVXHODH5RTZThtOBSlHhbNyrVIs7YYxjhX81TCEUlBPLkspDS8DirCiJNoXmhaWqoKEwA8R6DeelDm9sMG6vcmdiZyDus54j13GE9JwG87vusu8Ae10JPLGH0kDYot6toNt9yv8dzxfG2rFDgLFXMaaVFkSCipUlVwfDmhsM82tND7jlFm18QQwAv-2bc49Zwo2rT7BwMriCKekkATzoq7EfC0jQjsUgDyAb0ORjqsKVefndxxKVIJAqEAbzZU_LFsP69FM-un8VzuE0R0GqpKDmC0XazMy_gZvlzu2w3YzjIFpkrBZbiJB77HTt2yhAsp-Qc6-YfpvOvvwHggEwn |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VgoAL70egQJDgBFEd20nsA0IUqFp1d8VhQb25TuzASqtk2eyC-BH8FX4jYyfZdgv01gPHOHYymXzzsD2eAXhGrbFJxt3RLZlGnGU80jFNUa4KbTU12vjybZ8G2WgkDg_lhw341Z-FcWGVvU70itrUhVsj36aZq6iSxCx-PfsauapRbne1L6HRwuLA_viOU7bm1f47_L_PKd19P367F3VVBaICvZNFlGqZ6JSZBGcegnJbEkMNlyVCXQrBbKxLzpnFK2qItpzmXIoCZ5FWp0bEGcPnXoCLLq-eCyEckvFqTQdplFyQ7mwOYWK74UwkLsqXRs468ois2T9fJuBvvu2fIZqn9mm9-du9_r8x7gZc6xzt8E0rGTdhw1a34PKwCyW4DT93fOIBh9GwOBFSHtZl6M7cow9uQmcbfCqJehq5oP62nEY4ncxqn-BiUjWhrkyoXa2LE211FRZrgb6-V1VX0anmerlALtrmDnw8F2bchU18q70PoSiFQItT5FJaHmdlTqTNDc8NTS0VuQ0g7hGjii5xu6sfMlU-gIAJ1aJMIcqUR5kiAbxYjZm1aUvO7L3jgLjq6VKO-4Z6_ll1GkxpLjjR6E4XOua0NCJPEFjSpjpnOC9FMrd6_KlODzbqGHwBPF3dRg3mtqV0Zeul74McREc2CeBei_oVJSxNMxKLNIBsTR7WSF2_U02--CzpUiQS3d0AXvaSc0zWv1nx4OyveAJX9sbDgRrsjw4ewlWKg9x6HCVbsLmYL-0juFR8W0ya-WOvGUI4Om-J-g3NJJ80 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VgiouvKGBAkaCE0Sb2E5iHxCiLSuqllUPgHpzndihK62SZbML4kfwh_h1jJ1k2y3QWw8c13Gyk8k3D9vzAHhOrbFJxl3qlkxDzjIe6pimKFeFtpoabXz7ts8H2Wgkjo7k4Rr86nNhXFhlrxO9ojZ14fbIBzRzHVWSmMWDsguLONwdvpl-DV0HKXfS2rfTaCGyb398x-Vb83pvF7_1C0qH7z7uvA-7DgNhgZ7KPEy1THTKTIKrEEG5LSNDDZclwl4KwWysS86ZxV_URNpymnMpClxRWp0aEWcMn3sFrmYMUeyy1Hfi5f4O0iu5iLo8nYiJQcOZSFzELw2dpeRhtGILfcuAv_m5f4Zrnjuz9aZwePN_ZuItuNE54ORtKzG3Yc1Wd2DjQxdicBd-bvuCBA67pDgTak7qkrhcfPTNDXE2w5eYqCehC_Zv22yQyXha-8IX46ohujJEux4YZ8bqihQrAcB-VlVX4bnhejFHjtrmHny6FGbch3X8V7sJRJRCoCUqciktj7Myj6TNDc8NTS0VuQ0g7tGjiq6gu-srMlE-sIAJ1SJOIeKUR5yKAni5vGfaljO5cPa2A-VypitF7gfq2RfVaTalueCRRje70DGnpRF5giCTNtU5w_UqkrnVY1F1-rFRp0AM4NnyMmo2d1ylK1sv_BzkIDq4SQAPWglYUsLSNItikQaQrcjGCqmrV6rxia-eLkUi0Q0O4FUvRadk_ZsVDy9-i6ewgYKkDvZG-4_gOsV73DYdjbZgfT5b2Mdwrfg2HzezJ15JEDi-bIH6DRMep7I |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Biomedical+consequences+of+elevated+cholesterol-containing+lipoproteins+and+apolipoproteins+on+cardiovascular+and+non-cardiovascular+outcomes&rft.jtitle=Communications+medicine&rft.au=Schmidt%2C+Amand+F.&rft.au=Joshi%2C+Roshni&rft.au=Gordillo-Mara%C3%B1%C3%B3n%2C+Maria&rft.au=Drenos%2C+Fotios&rft.date=2023-01-20&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2730-664X&rft.volume=3&rft_id=info:doi/10.1038%2Fs43856-022-00234-0&rft_id=info%3Apmid%2F36670186&rft.externalDocID=PMC9859819 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2730-664X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2730-664X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2730-664X&client=summon |