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Li J, Tang X, Xu J, Liu R, Jiang L, Xu L, Tian J, Feng X, Wu Y, Zhang Y, Wang D, Sun K, Xu B, Zhao W, Hui R, Gao R, Song L, Yuan J, Zhao X. HMGCR gene polymorphism is associated with residual cholesterol risk in premature triple-vessel disease patients treated with moderate-intensity statins. BMC Cardiovasc Disord 2023; 23:317. [PMID: 37355634 PMCID: PMC10290797 DOI: 10.1186/s12872-023-03285-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 05/08/2023] [Indexed: 06/26/2023] Open
Abstract
BACKGROUND To investigate the association of HMGCR and NPC1L1 gene polymorphisms with residual cholesterol risk (RCR) in patients with premature triple-vessel disease (PTVD). METHODS Three SNPs within HMGCR including rs12916, rs2303151, and rs4629571, and four SNPs within NPC1L1 including rs11763759, rs4720470, rs2072183, and rs2073547 were genotyped. RCR was defined as achieved low-density lipoprotein cholesterol (LDL-C) concentrations after statins higher than 1.8 mmol/L (70 mg/dL). RESULTS Finally, a total of 609 PTVD patients treated with moderate-intensity statins were included who were divided into two groups: non-RCR group (n = 88) and RCR group (n = 521) according to LDL-C concentrations. Multivariate logistic regression showed the homozygotes for the minor allele of rs12916 within HMGCR gene (CC) were associated with a 2.08 times higher risk of RCR in recessive model [odds ratio (OR): 2.08, 95% confidence interval (CI): 1.16-3.75]. In codominant model, the individuals homozygous for the minor allele of rs12916 (CC) were associated with a 2.26 times higher risk of RCR (OR: 2.26, 95% CI: 1.16-4.43) while the heterozygous individuals (CT) were not, compared with the individuals homozygous for the major allele of rs12916 (TT). There was no significant association between the SNPs within NPC1L1 gene and RCR in various models. CONCLUSIONS We first reported that the variant homozygous CC of rs12916 within HMGCR gene may incur a significantly higher risk of RCR in PTVD patients treated with statins, providing new insights into early individualized guidance of precise lipid-lowering treatment.
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Affiliation(s)
- Jiawen Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xiaofang Tang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jingjing Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Ru Liu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Lin Jiang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Lianjun Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jian Tian
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xinxing Feng
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yajie Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yin Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Dong Wang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Kai Sun
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Bo Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Wei Zhao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Rutai Hui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Runlin Gao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Lei Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Jinqing Yuan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Xueyan Zhao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, 100037, China.
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Maxwell WD, Ramsey LB, Johnson SG, Moore KG, Shtutman M, Schoonover JH, Kawaguchi-Suzuki M. Impact of Pharmacogenetics on Efficacy and Safety of Statin Therapy for Dyslipidemia. Pharmacotherapy 2017; 37:1172-1190. [DOI: 10.1002/phar.1981] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Whitney D. Maxwell
- Department of Clinical Pharmacy and Outcomes Sciences; University of South Carolina College of Pharmacy; Columbia South Carolina
| | - Laura B. Ramsey
- Division of Research in Patient Services-Pharmacy Research; Cincinnati Children's Hospital Medical Center; Cincinnati Ohio
| | - Samuel G. Johnson
- American College of Clinical Pharmacy; Washington District of Columbia
- Virginia Commonwealth University; Richmond Virginia
| | - Kate G. Moore
- Department of Pharmacy Practice; Presbyterian College School of Pharmacy; Clinton South Carolina
| | - Michael Shtutman
- Department of Drug Discovery and Biomedical Sciences; University of South Carolina College of Pharmacy; Columbia South Carolina
| | - John H. Schoonover
- Department of Clinical Pharmacy and Outcomes Sciences; University of South Carolina College of Pharmacy; Columbia South Carolina
| | - Marina Kawaguchi-Suzuki
- School of Pharmacy; Pacific University College of Health Professions; Hillsboro Oregon
- Clinical Pharmacy Services; Kaiser Permanente Northwest; Portland Oregon
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3
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Postmus I, Warren HR, Trompet S, Arsenault BJ, Avery CL, Bis JC, Chasman DI, de Keyser CE, Deshmukh HA, Evans DS, Feng Q, Li X, Smit RAJ, Smith AV, Sun F, Taylor KD, Arnold AM, Barnes MR, Barratt BJ, Betteridge J, Boekholdt SM, Boerwinkle E, Buckley BM, Chen YDI, de Craen AJM, Cummings SR, Denny JC, Dubé MP, Durrington PN, Eiriksdottir G, Ford I, Guo X, Harris TB, Heckbert SR, Hofman A, Hovingh GK, Kastelein JJP, Launer LJ, Liu CT, Liu Y, Lumley T, McKeigue PM, Munroe PB, Neil A, Nickerson DA, Nyberg F, O’Brien E, O’Donnell CJ, Post W, Poulter N, Vasan RS, Rice K, Rich SS, Rivadeneira F, Sattar N, Sever P, Shaw-Hawkins S, Shields DC, Slagboom PE, Smith NL, Smith JD, Sotoodehnia N, Stanton A, Stott DJ, Stricker BH, Stürmer T, Uitterlinden AG, Wei WQ, Westendorp RGJ, Whitsel EA, Wiggins KL, Wilke RA, Ballantyne CM, Colhoun HM, Cupples LA, Franco OH, Gudnason V, Hitman G, Palmer CNA, Psaty BM, Ridker PM, Stafford JM, Stein CM, Tardif JC, Caulfield MJ, Jukema JW, Rotter JI, Krauss RM. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. J Med Genet 2016; 53:835-845. [PMID: 27587472 PMCID: PMC5309131 DOI: 10.1136/jmedgenet-2016-103966] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 07/03/2016] [Accepted: 07/26/2016] [Indexed: 11/04/2022]
Abstract
BACKGROUND In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation. METHODS AND RESULTS We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10-4 from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10-8) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment. CONCLUSIONS Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.
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Affiliation(s)
- Iris Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, United Kingdom EC1M6BQ
- Barts NIHR Biomedical Research Unit
| | - Stella Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Cardiology, Leiden University Medical Center, The Netherlands
| | | | - Christy L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston MA
- Harvard Medical School, Boston, MA
| | | | - Harshal A Deshmukh
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA, 94107
| | - QiPing Feng
- Department of Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Roelof AJ Smit
- Department of Cardiology, Leiden University Medical Center, The Netherlands
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Fangui Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA USA
| | - Michael R Barnes
- William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, United Kingdom EC1M6BQ
- Barts NIHR Biomedical Research Unit
| | - Bryan J Barratt
- Personalised Healthcare and Biomarkers, AstraZeneca, Alderley Park, UK
| | | | | | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Brendan M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Ireland
| | - Y-D Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Anton JM de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA, 94107
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University, USA
| | | | - Paul N Durrington
- Cardiovascular Research Group, School of Biosciences, University of Manchester M13 9NT, UK
| | | | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, United Kingdom
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, 7201 Wisconsin Ave, Bethesda, MD 20892, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle WA USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle WA USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- The Netherlands Consortium for Healthy Ageing, Leiden, the Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, NL
| | - John JP Kastelein
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, NL
| | - Leonore J Launer
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, 7201 Wisconsin Ave, Bethesda, MD 20892, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA, 27157
| | - Thomas Lumley
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Statistic, University of Auckland, Auckland, New Zealand
| | | | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, United Kingdom EC1M6BQ
- Barts NIHR Biomedical Research Unit
| | - Andrew Neil
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ UK
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Fredrik Nyberg
- Medical Evidence and Observational Research, AstraZeneca Gothenburg, Mölndal, Sweden
- Unit of Occupational and Environmental Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Eoin O’Brien
- The Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Christopher J O’Donnell
- NHLBI Framingham Heart Study, Framingham, MA, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- National Heart, Lung and Blood Institute, Bethesda, MD
| | - Wendy Post
- Department of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Neil Poulter
- International Centre for Circulatory Health, Imperial College, London UK
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, and the Framingham Heart Study, Framingham, MA, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, United Kingdom
| | - Peter Sever
- International Centre for Circulatory Health, Imperial College, London UK
| | - Sue Shaw-Hawkins
- William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, United Kingdom EC1M6BQ
- Barts NIHR Biomedical Research Unit
| | - Denis C Shields
- The Conway Institute, University College Dublin, Dublin 4, Ireland
- School of Medicine and Medical Sciences, University College Dublin
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle WA USA
- Group Health Research Institute, Group Health Cooperative, Seattle WA USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle WA USA
| | - Joshua D Smith
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Division of Cardiology, Harborview Medical Center, University of Washington, Seattle, WA USA
| | - Alice Stanton
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Beaumont Hospital, Dublin, Ireland
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, United Kingdom
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Health Care Inspectorate. The Hague, The Netherlands
| | - Til Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- The Netherlands Consortium for Healthy Ageing, Leiden, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Rudi GJ Westendorp
- Department of Public Health, and Center for Healthy Ageing, University of Copenhagen, 1123 Copenhagen, Denmark
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Russell A Wilke
- Department of Internal Medicine, Sanford Healthcare, Sioux Falls, SD, USA
- Department of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | | | - Helen M Colhoun
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
- Department of Public Health, University of Dundee
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- NHLBI Framingham Heart Study, Framingham, MA, USA
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Graham Hitman
- Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London UK
| | - Colin NA Palmer
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle WA USA
- Group Health Research Institute, Group Health Cooperative, Seattle WA USA
- Department of Health Services University of Washington, Seattle, WA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston MA
| | - Jeanette M Stafford
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA, 27157
| | - Charles M Stein
- Department of Medicine, Vanderbilt University, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | | | - Mark J Caulfield
- William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, United Kingdom EC1M6BQ
- Barts NIHR Biomedical Research Unit
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Ronald M Krauss
- Children’s Hospital Oakland Research Institute, Oakland, California, United States of America
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Kitzmiller JP, Mikulik EB, Dauki AM, Murkherjee C, Luzum JA. Pharmacogenomics of statins: understanding susceptibility to adverse effects. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2016; 9:97-106. [PMID: 27757045 PMCID: PMC5055044 DOI: 10.2147/pgpm.s86013] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Statins are a cornerstone of the pharmacologic treatment and prevention of atherosclerotic cardiovascular disease. Atherosclerotic disease is a predominant cause of mortality and morbidity worldwide. Statins are among the most commonly prescribed classes of medications, and their prescribing indications and target patient populations have been significantly expanded in the official guidelines recently published by the American and European expert panels. Adverse effects of statin pharmacotherapy, however, result in significant cost and morbidity and can lead to nonadherence and discontinuation of therapy. Statin-associated muscle symptoms occur in ~10% of patients on statins and constitute the most commonly reported adverse effect associated with statin pharmacotherapy. Substantial clinical and nonclinical research effort has been dedicated to determining whether genetics can provide meaningful insight regarding an individual patient’s risk of statin adverse effects. This contemporary review of the relevant clinical research on polymorphisms in several key genes that affect statin pharmacokinetics (eg, transporters and metabolizing enzymes), statin efficacy (eg, drug targets and pathways), and end-organ toxicity (eg, myopathy pathways) highlights several promising pharmacogenomic candidates. However, SLCO1B1 521C is currently the only clinically relevant pharmacogenetic test regarding statin toxicity, and its relevance is limited to simvastatin myopathy.
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Affiliation(s)
| | - Eduard B Mikulik
- Department of Biological Chemistry and Pharmacology, College of Medicine
| | - Anees M Dauki
- College of Pharmacy, The Ohio State University, Columbus, OH
| | | | - Jasmine A Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA
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Leusink M, Onland-Moret NC, de Bakker PIW, de Boer A, Maitland-van der Zee AH. Seventeen years of statin pharmacogenetics: a systematic review. Pharmacogenomics 2015; 17:163-80. [PMID: 26670324 DOI: 10.2217/pgs.15.158] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
AIM We evaluated the evidence of pharmacogenetic associations with statins in a systematic review. METHODS Two separate outcomes were considered of interest: modification of low-density lipoprotein cholesterol (LDL-C) response and modification of risk for cardiovascular events. RESULTS In candidate gene studies, 141 loci were claimed to be associated with LDL-C response. Only 5% of these associations were positively replicated. In addition, six genome-wide association studies of LDL-C response identified common SNPs in APOE, LPA, SLCO1B1, SORT1 and ABCG2 at genome-wide significance. None of the investigated SNPs consistently affected the risk reduction for cardiovascular events. CONCLUSION Only five genetic loci were consistently associated with LDL-C response. However, as effect sizes are modest, there is no evidence for the value of genetic testing in clinical practice.
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Affiliation(s)
- Maarten Leusink
- Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands.,Julius Center for Health Sciences & Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences & Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul I W de Bakker
- Julius Center for Health Sciences & Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anthonius de Boer
- Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
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6
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Dai R, Feng J, Wang Y, Yang Y, Deng C, Tang X, Zhao Y, Zhou H, Zhang F. Association between SLCO1B1 521 T>C and 388 A>G Polymorphisms and Statins Effectiveness: A Meta-Analysis. J Atheroscler Thromb 2015; 22:796-815. [PMID: 25832498 DOI: 10.5551/jat.26856] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
AIM Previous studies on the association between the SLCO1B1 521 T>C and 388 A>G polymorphisms and statin effectiveness have been inconsistent. We performed this meta-analysis to provide a more comprehensive estimation of this issue. METHODS Multiple electronic literatues databases were searched on March 5th 2014. A quality assessment was performed using the Methodological Index for Non-Randomized Studies (MINORS) criteria. A meta-analysis, sub-group analysis, sensitivity analysis (RevMan 5.2), publication bias measuring and meta-regression analysis were conducted utilizing the Stata software program (version 12.0). RESULTS A total of 13 studies were included in the final meta-analysis, which included 7,079 participants. Overall, there was no statistically significant association in the four genetic models of hypolipidemic effect. For the 521 T>C polymorphism, significant associations were found for the long-term effectiveness of lowering the low-density lipoprotein cholesterol (LDL-C) and in non-Asian populations in the dominant model [(CC+TC vs. TT: mean difference (MD)=1.44, 95% CI: 0.25-2.64,p=0.02) and (CC+TC vs. TT: MD=1.38, 95% CI: 0.28-2.49, p=0.01)], the recessive model [(CC vs. TT+TC: MD=3.31, 95% CI: 0.09-6.54, p=0.04) and (CC vs. TT+TC: MD=2.83, 95% CI: 0.26-5.41, p=0.03)], and the homozygote comparison [(CC vs. TT: MD=3.68, 95% CI: 0.42-6.94,p=0.03) and (CC vs. TT: MD=3.33, 95% CI: 0.67-5.99, p=0.01)], respectively. There were no significant differences for the other analyses of the 521 T>C polymorphism or all the analyses of the 388 A>G polymorphism. CONCLUSIONS The overall results suggest that the SLCO1B1 521 T>C and 388 A>G polymorphisms do not affect the lipid-lowering effectiveness of statins. However, allele C of the SLCO1B1 521 T>C polymorphism leads to an attenuated effect on lowering the LDL-C in non-Asian populations and the long-term effectiveness of statin treatment.
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Affiliation(s)
- Rong Dai
- School of Public Health and Management, Research Center for Medicine and Social Development, The Innovation Center for Social Risk Government in Health
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Palmer SC, Navaneethan SD, Craig JC, Perkovic V, Johnson DW, Nigwekar SU, Hegbrant J, Strippoli GFM. HMG CoA reductase inhibitors (statins) for kidney transplant recipients. Cochrane Database Syst Rev 2014; 2014:CD005019. [PMID: 24470059 PMCID: PMC8860132 DOI: 10.1002/14651858.cd005019.pub4] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND People with chronic kidney disease (CKD) have higher risks of cardiovascular disease compared to the general population. Specifically, cardiovascular deaths account most deaths in kidney transplant recipients. Statins are a potentially beneficial intervention for kidney transplant patients given their established benefits in patients at risk of cardiovascular disease in the general population. This is an update of a review first published in 2009. OBJECTIVES We aimed to evaluate the benefits (reductions in all-cause and cardiovascular mortality, major cardiovascular events, myocardial infarction and stroke, and progression of CKD to requiring dialysis) and harms (muscle or liver dysfunction, withdrawal, cancer) of statins compared to placebo, no treatment, standard care, or another statin in adults with CKD who have a functioning kidney transplant. SEARCH METHODS We searched the Cochrane Renal Group's Specialised Register to 29 February 2012 through contact with the Trials Search Co-ordinator using search terms relevant to this review. SELECTION CRITERIA We included randomised controlled trials (RCTs) and quasi-RCTs that compared the effects of statins with placebo, no treatment, standard care, or statins on mortality, cardiovascular events, kidney function and toxicity in kidney transplant recipients. DATA COLLECTION AND ANALYSIS Two authors independently extracted data and assessed risk of bias. Treatment effects were expressed as mean difference (MD) for continuous outcomes (lipids, glomerular filtration rate (GFR), proteinuria) and relative risk (RR) for dichotomous outcomes (major cardiovascular events, mortality, fatal or non-fatal myocardial infarction, fatal or non-fatal stroke, elevated muscle or liver enzymes, withdrawal due to adverse events, cancer, end-stage kidney disease (ESKD), acute allograft rejection) together with 95% confidence intervals (CI). MAIN RESULTS We identified 22 studies (3465 participants); 17 studies (3282 participants) compared statin with placebo or no treatment, and five studies (183 participants) compared two different statin regimens.From data generally derived from a single high-quality study, it was found that statins may reduce major cardiovascular events (1 study, 2102 participants: RR 0.84, CI 0.66 to 1.06), cardiovascular mortality (4 studies, 2322 participants: RR 0.68, CI 0.45 to 1.01), and fatal or non-fatal myocardial infarction (1 study, 2102 participants: RR 0.70, CI 0.48 to 1.01); although effect estimates lack precision and include the possibility of no effect.Statins had uncertain effects on all-cause mortality (6 studies, 2760 participants: RR 1.08, CI 0.63 to 1.83); fatal or non-fatal stroke (1 study, 2102 participants: RR 1.18, CI 0.85 to 1.63); creatine kinase elevation (3 studies, 2233 participants: RR 0.86, CI 0.39 to 1.89); liver enzyme elevation (4 studies, 608 participants: RR 0.62, CI 0.33 to 1.19); withdrawal due to adverse events (9 studies, 2810 participants: RR 0.89, CI 0.74 to 1.06); and cancer (1 study, 2094 participants: RR 0.94, CI 0.82 to 1.07).Statins significantly reduced serum total cholesterol (12 studies, 3070 participants: MD -42.43 mg/dL, CI -51.22 to -33.65); low-density lipoprotein cholesterol (11 studies, 3004 participants: MD -43.19 mg/dL, CI -52.59 to -33.78); serum triglycerides (11 studies, 3012 participants: MD -27.28 mg/dL, CI -34.29 to -20.27); and lowered high-density lipoprotein cholesterol (11 studies, 3005 participants: MD -5.69 mg/dL, CI -10.35 to -1.03).Statins had uncertain effects on kidney function: ESKD (6 studies, 2740 participants: RR 1.14, CI 0.94 to 1.37); proteinuria (2 studies, 136 participants: MD -0.04 g/24 h, CI -0.17 to 0.25); acute allograft rejection (4 studies, 582 participants: RR 0.88, CI 0.61 to 1.28); and GFR (1 study, 62 participants: MD -1.00 mL/min, CI -9.96 to 7.96).Due to heterogeneity in comparisons, data directly comparing differing statin regimens could not be meta-analysed. Evidence for statins in people who have had a kidney transplant were sparse and lower quality due to imprecise effect estimates and provided limited systematic evaluation of treatment harm. AUTHORS' CONCLUSIONS Statins may reduce cardiovascular events in kidney transplant recipients, although treatment effects are imprecise. Statin treatment has uncertain effects on overall mortality, stroke, kidney function, and toxicity outcomes in kidney transplant recipients. Additional studies would improve our confidence in the treatment benefits and harms of statins on cardiovascular events in this clinical setting.
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Affiliation(s)
- Suetonia C Palmer
- University of Otago ChristchurchDepartment of Medicine2 Riccarton AvePO Box 4345ChristchurchNew Zealand8140
| | - Sankar D Navaneethan
- Glickman Urological and Kidney Institute, Cleveland ClinicDepartment of Nephrology and HypertensionClevelandOHUSA44195
| | - Jonathan C Craig
- The University of SydneySydney School of Public HealthEdward Ford Building A27SydneyNSWAustralia2006
- The Children's Hospital at WestmeadCochrane Renal Group, Centre for Kidney ResearchWestmeadNSWAustralia2145
| | - Vlado Perkovic
- The George Institute for International HealthRenal and Metabolic DivisionCamperdownNSWAustralia
| | - David W Johnson
- Princess Alexandra HospitalDepartment of NephrologyIpswich RdWoolloongabbaQueenslandAustralia4102
| | - Sagar U Nigwekar
- Harvard Medical SchoolBrigham and Women's Hospital, Massachusetts General Hospital, Scholars in Clinical Sciences ProgramBostonMAUSA
| | - Jorgen Hegbrant
- Diaverum Renal Services GroupMedical OfficePO Box 4167LundSwedenSE‐227 22
| | - Giovanni FM Strippoli
- The Children's Hospital at WestmeadCochrane Renal Group, Centre for Kidney ResearchWestmeadNSWAustralia2145
- Mario Negri Sud FoundationClinical Pharmacology and EpidemiologySanta Maria ImbaroItaly
- Amedeo Avogadro University of Eastern PiedmontNovaraItaly
- DiaverumMedical Scientific OfficeLundSweden
- Diaverum AcademyBariItaly
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Patel J, Abd T, Blumenthal RS, Nasir K, Superko HR. Genetics and Personalized Medicine—a Role in Statin Therapy? Curr Atheroscler Rep 2013; 16:384. [DOI: 10.1007/s11883-013-0384-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Abstract
Statins are the most widely used group of lipid-lowering drugs and they have been shown to be effective in the prevention of cardiovascular disease, primarily by reducing plasma low-density lipoprotein cholesterol concentrations and possibly through other pleiotropic effects. However, there are large variations in lipid responses to statins and some patients have intolerable muscle adverse drug reactions, which may in part be related to genetic factors. In the last decade, pharmacogenetic studies on statins ranging from the candidate gene approach to the more recent genome-wide association studies have provided evidence that genetic variations play an important role in determining statin responses. This review summarizes the current understanding on the pharmacogenomics of statins and other lipid-lowering drugs in current use.
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Affiliation(s)
- Miao Hu
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR
| | - Brian Tomlinson
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR.
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Associations of ABCB1 and IL-10 genetic polymorphisms with sirolimus-induced dyslipidemia in renal transplant recipients. Transplantation 2013; 94:971-7. [PMID: 23073467 DOI: 10.1097/tp.0b013e31826b55e2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Hyperlipidemia is a common adverse effect of sirolimus (SRL). We previously showed significant associations of ABCB1 3435C>T and IL-10 -1082G>A with log-transformed SRL dose-adjusted weighted-normalized trough. We further examined to see whether these polymorphisms were also associated with SRL-induced dyslipidemia. METHODS Genotyping was performed for ABCB1 1236C>T, 2677 G>T/A, and 3435C>T; CYP3A4 -392A>G; CYP3A5 6986A>G and 14690G>A; IL-10 -1082G>A; TNF -308G>A; and ApoE ε2, ε3, and ε4 alleles. The longitudinal changes of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels after SRL treatment before statin therapy were analyzed by a linear mixed-effects model, with adjustments for selected covariates for each lipid. RESULTS Under the dominant genetic model, ABCB1 3435C>T was associated with TC (P=0.0001) and LDL-C (P<0.0001) values after SRL administration. Mean TC and LDL-C levels were 26.9 and 24.9 mg/dL higher, respectively, in ABCB1 3435T carriers than 3435CC homozygotes at an average SRL trough concentration of 4 ng/mL without concomitant medication. ABCB1 1236C>T under the recessive model and IL-10 -1082G>A under the dominant model were associated with log-transformed TG values (P=0.0051 and 0.0436, respectively). Mean TG value was 25.1% higher in ABCB1 1236TT homozygotes compared with ABCB1 1236C carriers and was 12.4% higher in IL-10 -1082AA homozygotes than -1082G carriers. CONCLUSIONS ABCB1 polymorphisms were found to be associated with lipid responses to SRL treatment, confirming the role of ABCB1 gene in SRL pharmacokinetics and pharmacodynamics. Further studies are necessary to define the role of ABCB1 and IL-10 polymorphisms on SRL-induced dyslipidemia in renal transplantation.
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Abstract
3-Hydroxy-3-methylglutaryl coenzyme A reductase inhibitor medications, commonly referred to as statins, are among the most widely prescribed medications. Variation in individual response to statins concerning low-density lipoprotein cholesterol reduction, clinical event benefit, and side effects has been observed. Some of this variability is attributed to demographic and environmental issues, chief of which is compliance. A large portion of the individual response to statin therapy is attributed to single nucleotide polymorphisms that have recently been elucidated, several of which seem to have clinical utility.
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Abstract
The term pharmacogenetics was first used in the late 1950s and can be defined as the study of genetic factors affecting drug response. Prior to formal use of this term, there was already clinical data available in relation to variable patient responses to the drugs isoniazid, primaquine and succinylcholine. The subject area developed rapidly, particularly with regard to genetic factors affecting drug disposition. There is now comprehensive understanding of the molecular basis for variable drug metabolism by the cytochromes P450 and also for variable glucuronidation, acetylation and methylation of certain drugs. Some of this knowledge has already been translated to the clinic. The molecular basis of variation in drug targets, such as receptors and enzymes, is generally less well understood, although there is consistent evidence that polymorphisms in the genes encoding the β-adrenergic receptors and the enzyme vitamin K epoxide reductase is of clinical importance. The genetic basis of rare idiosyncratic adverse drug reactions had also been examined. Susceptibility to reactions affecting skin and liver appears to be determined in part by the HLA (human leucocyte antigen) genotype, whereas reactions affecting the heart and muscle may be determined by polymorphisms in genes encoding ion channels and transporters respectively. Genome-wide association studies are increasingly being used to study drug response and susceptibility to adverse drug reactions, resulting in identification of some novel pharmacogenetic associations.
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A single nucleotide polymorphism in the 3-hydroxy-3-methylglutaryl-coenzyme A reductase gene ( HMGCR) influences the serum triacylglycerol relationship with dietary fat and fibre in the European Prospective Investigation into Cancer and Nutrition in Norfolk (EPIC-Norfolk) study. Br J Nutr 2010; 104:765-72. [PMID: 20540816 DOI: 10.1017/s0007114510001145] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The objective of the present study was to investigate the influence of the single nucleotide polymorphism (rs17238540) at the 3-hydroxy-3-methylglutaryl-coenzyme A reductase gene (HMGCR) on the relationship between serum lipids and dietary fat and fibre (NSP). FFQ and pyrosequencing were used to assess cross-sectional dietary intake and HMGCR genotype in a population study with data for serum lipids available. Genotype frequencies and allele distributions for 23 011 participants were: TT 95.65 %, TG 4.29 % and GG 0.06 %; T 97.8 % and G 2.2 %. In regression analyses, the TG+GG group showed a significant positive relationship between TAG and SFA intake (+0.11 (95 % CI 0.02, 0.20) mmol TAG/l; P = 0.017; per 3 % SFA energy increase) while the TT individuals showed no change in the TAG levels related to SFA intake ( - 0.0007 (95 % CI - 0.02, 0.02) mmol TAG/l; P = 0.99). TG+GG individuals showed an inverse relationship between TAG and fibre intake higher ( - 0.14 (95 % CI - 0.22, - 0.05) mmol TAG/l than the TT group ( - 0.04 (95 % CI - 0.06, - 0.02) mmol TAG/l). In both cases the respective coefficient regressions of TAG were different between the genotype groups (Z = 2.27, P = 0.023 for SFA intake; Z = 2.19, P = 0.029 for fibre intake). Individuals carrying the G allele may show a greater response in lower TAG levels with reduced SFA intake and increased fibre intake compared with those homozygous for the T allele. The effectiveness of different dietary interventions to control serum lipids may vary according to HMGCR genotype.
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Kerola T, Lehtimäki T, Kähönen M, Nieminen T. Statin Pharmacogenomics: Lipid Response and Cardiovascular Outcomes. CURRENT CARDIOVASCULAR RISK REPORTS 2010. [DOI: 10.1007/s12170-010-0081-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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HMGCR gene polymorphism is associated with stroke risk in the EPIC-Norfolk study. ACTA ACUST UNITED AC 2010; 17:89-93. [DOI: 10.1097/hjr.0b013e328330be77] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Freitas RN, Khaw KT, Wu K, Bowman R, Jeffery H, Luben R, Wareham NJ, Bingham SA. A HMGCR polymorphism is associated with relations between blood pressure and urinary sodium and potassium ratio in the Epic-Norfolk Study. ACTA ACUST UNITED AC 2009; 3:238-44. [DOI: 10.1016/j.jash.2009.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2009] [Revised: 05/08/2009] [Accepted: 05/28/2009] [Indexed: 12/01/2022]
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Navaneethan SD, Perkovic V, Johnson DW, Nigwekar SU, Craig JC, Strippoli GFM. HMG CoA reductase inhibitors (statins) for kidney transplant recipients. Cochrane Database Syst Rev 2009:CD005019. [PMID: 19370615 DOI: 10.1002/14651858.cd005019.pub3] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Cardiovascular deaths account for the majority of deaths in kidney transplant recipients and dyslipidaemia contributes significantly to their cardiovascular disease. Statins are widely used in kidney transplant patients given their established benefits in the general population, however evidence favouring their use is lacking. OBJECTIVES To assess the benefits and harms of statin therapy on mortality and renal outcomes in kidney transplant recipients. SEARCH STRATEGY We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and hand searched reference lists of articles and scientific proceedings. SELECTION CRITERIA Randomised controlled trials (RCTs) and quasi-RCTs comparing statins with placebo, no treatment or other statins in kidney transplant recipients. DATA COLLECTION AND ANALYSIS Two authors independently assessed study quality and extracted data. Statistical analyses were performed using the random effects model after testing for heterogeneity. Results were expressed as mean difference (MD) for continuous outcomes (lipid parameters) and risk ratio (RR) for dichotomous outcomes (mortality, allograft rejection, liver enzymes, occurrence of rhabdomyolysis and study withdrawal) with 95% confidence intervals (CI). MAIN RESULTS Sixteen studies (3229 patients) comparing statins versus placebo (15) or another statin (1) were included. Compared to placebo, statins did not decrease all-cause mortality (14 studies: RR 1.30, 95% CI 0.54 to 3.12). Point estimates favoured statins in terms of cardiovascular mortality (13 studies: RR 0.68, 95% CI 0.46 to 1.03) and non-fatal cardiovascular events (1 study: RR 0.70, 95% CI 0.48 to 1.01), however the results were not statistically significant. Compared to placebo, the use of statins was associated with a significantly lower end of treatment average total cholesterol (10 studies: MD -42.33 mg/dL (1.26 mmol/L), 95% CI -53.02 to -31.64), LDL cholesterol (10 studies: MD -46.15 mg/dL (1.19 mmol/L), 95% CI -55.97 to -36.33) and triglycerides (10 studies: MD -25.46 mg/dL (0.26 mmol/L), 95% CI -33.95 to 16.9). There was no significant difference in the risk of acute rejection (5 studies: RR 0.61; 95% C.I.0.32 to 1.16.) No data on chronic rejection was available and no major toxicity was noted. AUTHORS' CONCLUSIONS Statins significantly reduced hyperlipidaemia and tended to reduce cardiovascular events in kidney transplant recipients, but no effect has yet been demonstrated for mortality outcomes. Most of the data was derived from one large long-term study. Considering the significant impact of statins on all-cause and cardiovascular mortality in the general and predialysis populations, more studies are needed in kidney transplant patients.
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Affiliation(s)
- Sankar D Navaneethan
- Department of Nephrology and Hypertension, Glickman Urological and Kidney institute, Cleveland Clinic, Cleveland, OH 44195, USA.
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A paucimorphic variant in the HMG-CoA reductase gene is associated with lipid-lowering response to statin treatment in diabetes: a GoDARTS study. Pharmacogenet Genomics 2009; 18:1021-6. [PMID: 18815589 DOI: 10.1097/fpc.0b013e3283106071] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Considerable interindividual variation exists in cholesterol-lowering response to 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR) inhibitors (statins). HMGCR catalyzes the rate-limiting step in cholesterol biosynthesis, and also plays a significant role in cholesterol homeostasis. We evaluated the association of a single nucleotide polymorphism (rs17238540) in the HMGCR gene with lipid-lowering response to statins in a large population-based cohort of patients with diabetes. METHODS One thousand six hundred and one patients commencing statins between 1993 and 2006 were identified from the Genetics of Diabetes Audit and Research in Tayside Scotland database. Statin response was determined by both percentage change in lipids, and whether patients failed to reach a total cholesterol target of less than or equal to 4 mmol/l. Covariates included HMGCR genotype, baseline lipids, age, sex, adherence and statin dose. All patients were genotyped for rs17238540 using a TAQMAN-based allelic discrimination assay. RESULTS Twenty-eight percent of individuals homozygous for the more frequent T allele failed to reach target compared with 51% of the individuals with a single copy of the minor G allele (carrier frequency 3.3%), with an adjusted odds ratio (95% confidence interval) for failure of 2.93 (1.61-5.34) mmol/l, P = 0.0005. In addition, we found that the heterozygotes had a 13% smaller reduction in total cholesterol (-32.3 vs. -37.1%, P = 0.0081) and a 27% smaller reduction in triglycerides (-27.5 vs. -37.6%, P = 0.0046). CONCLUSION Individuals heterozygous for the G allele of rs17238540 in the HMGCR gene may respond less well to statin therapy in terms of total cholesterol and triglyceride lowering.
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Bibliography. Current world literature. Diabetes and the endocrine pancreas. Curr Opin Endocrinol Diabetes Obes 2008; 15:193-207. [PMID: 18316957 DOI: 10.1097/med.0b013e3282fba8b4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Polisecki E, Muallem H, Maeda N, Peter I, Robertson M, McMahon AD, Ford I, Packard C, Shepherd J, Jukema JW, Westendorp RGJ, de Craen AJM, Buckley BM, Ordovas JM, Schaefer EJ. Genetic variation at the LDL receptor and HMG-CoA reductase gene loci, lipid levels, statin response, and cardiovascular disease incidence in PROSPER. Atherosclerosis 2008; 200:109-14. [PMID: 18261733 DOI: 10.1016/j.atherosclerosis.2007.12.004] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2007] [Accepted: 12/07/2007] [Indexed: 10/22/2022]
Abstract
Our purpose was to evaluate associations of single nucleotide polymorphisms (SNPs) at the low density lipoprotein (LDL) receptor (LDLR C44857T, minor allele frequency (MAF) 0.26, and A44964G, MAF 0.25, both in the untranslated region) and HMG-CoA reductase (HMGCR i18 T>G, MAF 0.019) gene loci with baseline lipid values, statin-induced LDL-cholesterol (C) lowering response, and incident coronary heart disease (CHD) and cardiovascular disease (CVD) on trial. Our population consisted of 5804 elderly men and women with vascular disease or one or more vascular disease risk factors, who were randomly allocated to pravastatin or placebo. Other risk factors and apolipoprotein (apo) E phenotype were controlled for in the analysis. Despite a prior report, no relationships with the HMGCR SNP were noted. For the LDLR SNPs C44857T and A44964G we noted significant associations of the rare alleles with baseline LDL-C and triglyceride levels, a modest association of the C44857T with LDL-C lowering to pravastatin in men, and significant associations with incident CHD and CVD of both SNPs, especially in men on pravastatin. Our data indicate that genetic variation at the LDLR locus can affect baseline lipids, response to pravastatin, and CVD risk in subjects placed on statin treatment.
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Affiliation(s)
- Eliana Polisecki
- Cardiovascular Research and Lipid Metabolism Laboratories, Friedman School of Nutrition Science and Policy, Tufts University School of Medicine and the Jean Mayer USDA Human Nutrition Research Center at Tufts University, Boston, MA USA
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