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Kaptoge S, Seshasai SRK, Sun L, Walker M, Bolton T, Spackman S, Ataklte F, Willeit P, Bell S, Burgess S, Pennells L, Altay S, Assmann G, Ben-Shlomo Y, Best LG, Björkelund C, Blazer DG, Brenner H, Brunner EJ, Dagenais GR, Cooper JA, Cooper C, Crespo CJ, Cushman M, D'Agostino RB, Daimon M, Daniels LB, Danker R, Davidson KW, de Jongh RT, Donfrancesco C, Ducimetiere P, Elders PJM, Engström G, Ford I, Gallacher I, Bakker SJL, Goldbourt U, de La Cámara G, Grimsgaard S, Gudnason V, Hansson PO, Imano H, Jukema JW, Kabrhel C, Kauhanen J, Kavousi M, Kiechl S, Knuiman MW, Kromhout D, Krumholz HM, Kuller LH, Laatikainen T, Lowler DA, Meyer HE, Mukamal K, Nietert PJ, Ninomiya T, Nitsch D, Nordestgaard BG, Palmieri L, Price JF, Ridker PM, Sun Q, Rosengren A, Roussel R, Sakurai M, Salomaa V, Schöttker B, Shaw JE, Strandberg TE, Sundström J, Tolonen H, Tverdal A, Verschuren WMM, Völzke H, Wagenknecht L, Wallace RB, Wannamethee SG, Wareham NJ, Wassertheil-Smoller S, Yamagishi K, Yeap BB, Harrison S, Inouye M, Griffin S, Butterworth AS, Wood AM, Thompson SG, Sattar N, Danesh J, Di Angelantonio E, Tipping RW, Russell S, Johansen M, Bancks MP, Mongraw-Chaffin M, Magliano D, Barr ELM, Zimmet PZ, Knuiman MW, Whincup PH, Willeit J, Willeit P, Leitner C, Lawlor DA, Ben-Shlomo Y, Elwood P, Sutherland SE, Hunt KJ, Cushman M, Selmer RM, Haheim LL, Ariansen I, Tybjaer-Hansen A, Frikkle-Schmidt R, Langsted A, Donfrancesco C, Lo Noce C, Balkau B, Bonnet F, Fumeron F, Pablos DL, Ferro CR, Morales TG, Mclachlan S, Guralnik J, Khaw KT, Brenner H, Holleczek B, Stocker H, Nissinen A, Palmieri L, Vartiainen E, Jousilahti P, Harald K, Massaro JM, Pencina M, Lyass A, Susa S, Oizumi T, Kayama T, Chetrit A, Roth J, Orenstein L, Welin L, Svärdsudd K, Lissner L, Hange D, Mehlig K, Salomaa V, Tilvis RS, Dennison E, Cooper C, Westbury L, Norman PE, Almeida OP, Hankey GJ, Hata J, Shibata M, Furuta Y, Bom MT, Rutters F, Muilwijk M, Kraft P, Lindstrom S, Turman C, Kiyama M, Kitamura A, Yamagishi K, Gerber Y, Laatikainen T, Salonen JT, van Schoor LN, van Zutphen EM, Verschuren WMM, Engström G, Melander O, Psaty BM, Blaha M, de Boer IH, Kronmal RA, Sattar N, Rosengren A, Nitsch D, Grandits G, Tverdal A, Shin HC, Albertorio JR, Gillum RF, Hu FB, Cooper JA, Humphries S, Hill- Briggs F, Vrany E, Butler M, Schwartz JE, Kiyama M, Kitamura A, Iso H, Amouyel P, Arveiler D, Ferrieres J, Gansevoort RT, de Boer R, Kieneker L, Crespo CJ, Assmann G, Trompet S, Kearney P, Cantin B, Després JP, Lamarche B, Laughlin G, McEvoy L, Aspelund T, Thorsson B, Sigurdsson G, Tilly M, Ikram MA, Dorr M, Schipf S, Völzke H, Fretts AM, Umans JG, Ali T, Shara N, Davey-Smith G, Can G, Yüksel H, Özkan U, Nakagawa H, Morikawa Y, Ishizaki M, Njølstad I, Wilsgaard T, Mathiesen E, Sundström J, Buring J, Cook N, Arndt V, Rothenbacher D, Manson J, Tinker L, Shipley M, Tabak AG, Kivimaki M, Packard C, Robertson M, Feskens E, Geleijnse M, Kromhout D. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation. Lancet Diabetes Endocrinol 2023; 11:731-742. [PMID: 37708900 PMCID: PMC7615299 DOI: 10.1016/s2213-8587(23)00223-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND The prevalence of type 2 diabetes is increasing rapidly, particularly among younger age groups. Estimates suggest that people with diabetes die, on average, 6 years earlier than people without diabetes. We aimed to provide reliable estimates of the associations between age at diagnosis of diabetes and all-cause mortality, cause-specific mortality, and reductions in life expectancy. METHODS For this observational study, we conducted a combined analysis of individual-participant data from 19 high-income countries using two large-scale data sources: the Emerging Risk Factors Collaboration (96 cohorts, median baseline years 1961-2007, median latest follow-up years 1980-2013) and the UK Biobank (median baseline year 2006, median latest follow-up year 2020). We calculated age-adjusted and sex-adjusted hazard ratios (HRs) for all-cause mortality according to age at diagnosis of diabetes using data from 1 515 718 participants, in whom deaths were recorded during 23·1 million person-years of follow-up. We estimated cumulative survival by applying age-specific HRs to age-specific death rates from 2015 for the USA and the EU. FINDINGS For participants with diabetes, we observed a linear dose-response association between earlier age at diagnosis and higher risk of all-cause mortality compared with participants without diabetes. HRs were 2·69 (95% CI 2·43-2·97) when diagnosed at 30-39 years, 2·26 (2·08-2·45) at 40-49 years, 1·84 (1·72-1·97) at 50-59 years, 1·57 (1·47-1·67) at 60-69 years, and 1·39 (1·29-1·51) at 70 years and older. HRs per decade of earlier diagnosis were similar for men and women. Using death rates from the USA, a 50-year-old individual with diabetes died on average 14 years earlier when diagnosed aged 30 years, 10 years earlier when diagnosed aged 40 years, or 6 years earlier when diagnosed aged 50 years than an individual without diabetes. Using EU death rates, the corresponding estimates were 13, 9, or 5 years earlier. INTERPRETATION Every decade of earlier diagnosis of diabetes was associated with about 3-4 years of lower life expectancy, highlighting the need to develop and implement interventions that prevent or delay the onset of diabetes and to intensify the treatment of risk factors among young adults diagnosed with diabetes. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.
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Goedegebuur J, Abbel D, Accassat S, Achterberg WP, Akbari A, Arfuch VM, Baddeley E, Bax JJ, Becker D, Bergmeijer B, Bertoletti L, Blom JW, Calvetti A, Cannegieter SC, Castro L, Chavannes NH, Coma-Auli N, Couffignal C, Edwards A, Edwards M, Enggaard H, Font C, Gava A, Geersing GJ, Geijteman ECT, Greenley S, Gregory C, Gussekloo J, Hoffmann I, Højen AA, van den Hout WB, Huisman MV, Jacobsen S, Jagosh J, Johnson MJ, Jørgensen L, Juffermans CCM, Kempers EK, Konstantinides S, Kroder AF, Kruip MJHA, Lafaie L, Langendoen JW, Larsen TB, Lifford K, van der Linden YM, Mahé I, Maiorana L, Maraveyas A, Martens ESL, Mayeur D, van Mens TE, Mohr K, Mooijaart SP, Murtagh FEM, Nelson A, Nielsen PB, Ording AG, Ørskov M, Pearson M, Poenou G, Portielje JEA, Raczkiewicz D, Rasmussen K, Trinks-Roerdink E, Schippers I, Seddon K, Sexton K, Sivell S, Skjøth F, Søgaard M, Szmit S, Trompet S, Vassal P, Visser C, van Vliet LM, Wilson E, Klok FA, Noble SIR. Towards optimal use of antithrombotic therapy of people with cancer at the end of life: A research protocol for the development and implementation of the SERENITY shared decision support tool. Thromb Res 2023; 228:54-60. [PMID: 37276718 DOI: 10.1016/j.thromres.2023.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/02/2023] [Accepted: 05/05/2023] [Indexed: 06/07/2023]
Abstract
BACKGROUND Even though antithrombotic therapy has probably little or even negative effects on the well-being of people with cancer during their last year of life, deprescribing antithrombotic therapy at the end of life is rare in practice. It is often continued until death, possibly resulting in excess bleeding, an increased disease burden and higher healthcare costs. METHODS The SERENITY consortium comprises researchers and clinicians from eight European countries with specialties in different clinical fields, epidemiology and psychology. SERENITY will use a comprehensive approach combining a realist review, flash mob research, epidemiological studies, and qualitative interviews. The results of these studies will be used in a Delphi process to reach a consensus on the optimal design of the shared decision support tool. Next, the shared decision support tool will be tested in a randomised controlled trial. A targeted implementation and dissemination plan will be developed to enable the use of the SERENITY tool across Europe, as well as its incorporation in clinical guidelines and policies. The entire project is funded by Horizon Europe. RESULTS SERENITY will develop an information-driven shared decision support tool that will facilitate treatment decisions regarding the appropriate use of antithrombotic therapy in people with cancer at the end of life. CONCLUSIONS We aim to develop an intervention that guides the appropriate use of antithrombotic therapy, prevents bleeding complications, and saves healthcare costs. Hopefully, usage of the tool leads to enhanced empowerment and improved quality of life and treatment satisfaction of people with advanced cancer and their care givers.
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Affiliation(s)
- J Goedegebuur
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - D Abbel
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands; Department of Medicine - Internal Medicine and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - S Accassat
- Department of Vascular and Therapeutical Medicine, University Hospital of Saint-Etienne, Saint-Étienne, France
| | - W P Achterberg
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - A Akbari
- Swansea University, Swansea, Wales, United Kingdom
| | - V M Arfuch
- Department of Medical Oncology, Hospital Clinic Barcelona, Clinical Institute of Haematological and Oncological Diseases (ICMHO), IDIBAPS, Barcelona, Spain
| | - E Baddeley
- Cardiff University, Cardiff, United Kingdom
| | - J J Bax
- Department of Medicine - Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - D Becker
- University Medical Center Mainz, Mainz, Germany
| | | | - L Bertoletti
- Department of Vascular and Therapeutical Medicine, Jean Monnet University, University Hospital of Saint-Étienne, Saint-Étienne, France
| | - J W Blom
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - A Calvetti
- Assistance Publique-Hopitaux de Paris, Paris, France
| | - S C Cannegieter
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - L Castro
- Vall d'Hebron Research Institute, Barcelona, Spain
| | - N H Chavannes
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - N Coma-Auli
- Department of Medical Oncology, Hospital Clinic Barcelona, Clinical Institute of Haematological and Oncological Diseases (ICMHO), IDIBAPS, Barcelona, Spain
| | - C Couffignal
- Hôpital Louis Mourier, APHP, Assistance Publique-Hopitaux de Paris, Paris, France
| | - A Edwards
- Cardiff University, Cardiff, United Kingdom
| | - M Edwards
- Cardiff University, Cardiff, United Kingdom
| | - H Enggaard
- Aalborg University Hospital, Aalborg, Denmark
| | - C Font
- Department of Medical Oncology, Hospital Clinic Barcelona, Clinical Institute of Haematological and Oncological Diseases (ICMHO), IDIBAPS, Barcelona, Spain
| | - A Gava
- Societa per l'Assistenza al Malato Oncologico Terminale Onlus (S.A.M.O.T.) Ragusa Onlus, Ragusa, Italy
| | - G J Geersing
- Julius Center for Health Sciences and Primary Care, Department of General Practice, University Medical Center Utrecht, Utrecht, the Netherlands
| | - E C T Geijteman
- Department of Medical Oncology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - S Greenley
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - C Gregory
- Cardiff University, Cardiff, United Kingdom
| | - J Gussekloo
- Department of Medicine - Internal Medicine and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - I Hoffmann
- Hôpital Bichat, APHP, Assistance Publique-Hopitaux de Paris, Paris, France
| | - A A Højen
- Aalborg University Hospital, Aalborg, Denmark
| | - W B van den Hout
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - M V Huisman
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - S Jacobsen
- Aalborg University Hospital, Aalborg, Denmark
| | - J Jagosh
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - M J Johnson
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - L Jørgensen
- Aalborg University Hospital, Aalborg, Denmark
| | - C C M Juffermans
- Centre of Expertise in Palliative Care, Leiden University Medical Center, Leiden, the Netherlands
| | - E K Kempers
- Department of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - A F Kroder
- Todaytomorrow, Rotterdam, the Netherlands
| | - M J H A Kruip
- Department of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - L Lafaie
- Department of Geriatrics and Gerontology, Jean Monnet University, University Hospital of Saint-Étienne, Saint-Étienne, France
| | | | - T B Larsen
- Aalborg University Hospital, Aalborg, Denmark
| | - K Lifford
- Cardiff University, Cardiff, United Kingdom
| | - Y M van der Linden
- Centre of Expertise in Palliative Care, Leiden University Medical Center, Leiden, the Netherlands; Netherlands Comprehensive Cancer Organization, Utrecht, the Netherlands
| | - I Mahé
- Department of Innovative Therapies in Haemostasis, Hôpital Louis Mourier, APHP, Paris, France
| | - L Maiorana
- Societa per l'Assistenza al Malato Oncologico Terminale Onlus (S.A.M.O.T.) Ragusa Onlus, Ragusa, Italy
| | - A Maraveyas
- Clinical Sciences Centre Hull York Medical School University of Hull, Hull, United Kingdom
| | - E S L Martens
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - D Mayeur
- Centre Georges-François Leclerc, Dijon, France
| | - T E van Mens
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - K Mohr
- University Medical Center Mainz, Mainz, Germany
| | - S P Mooijaart
- Department of Medicine - Internal Medicine and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - F E M Murtagh
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - A Nelson
- Cardiff University, Cardiff, United Kingdom
| | - P B Nielsen
- Aalborg University Hospital, Aalborg, Denmark
| | - A G Ording
- Aalborg University Hospital, Aalborg, Denmark
| | - M Ørskov
- Aalborg University Hospital, Aalborg, Denmark
| | - M Pearson
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - G Poenou
- Department of Vascular and Therapeutical Medicine, Jean Monnet University, University Hospital of Saint-Étienne, Saint-Étienne, France
| | - J E A Portielje
- Department of Medicine - Internal medicine and Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - D Raczkiewicz
- Department of Medical Statistics, School of Public Health, Centre of Postgraduate Medical Education, Warsaw, Poland
| | - K Rasmussen
- Aalborg University Hospital, Aalborg, Denmark
| | - E Trinks-Roerdink
- Julius Center for Health Sciences and Primary Care, Department of General Practice, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - K Seddon
- Wales Cancer Research Centre, Cardiff, UK
| | - K Sexton
- Cardiff University, Cardiff, United Kingdom
| | - S Sivell
- Cardiff University, Cardiff, United Kingdom
| | - F Skjøth
- Aalborg University Hospital, Aalborg, Denmark
| | - M Søgaard
- Aalborg University Hospital, Aalborg, Denmark
| | - S Szmit
- Department of Cardio-Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland
| | - S Trompet
- Department of Medicine - Internal Medicine and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - P Vassal
- Department of Vascular and Therapeutical Medicine, University Hospital of Saint-Etienne, Saint-Étienne, France
| | - C Visser
- Department of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - L M van Vliet
- Department of Health, Medicine and Neuropsychology, Leiden University, Leiden, the Netherlands
| | - E Wilson
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom
| | - F A Klok
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
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van der Hulst H, Van der Bol J, Portielje J, Trompet S, Van den Bos F, Mooijaart S, Dekker J. Frailty in older patients undergoing elective colorectal cancer surgery; interaction with postoperative complications, daily functioning and quality of life. J Geriatr Oncol 2022. [DOI: 10.1016/s1879-4068(22)00254-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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van Holstein Y, van den Berkmortel P, Trompet S, van Heemst D, Van den Bos F, Roemeling-van Rhijn M, De Glas N, Beekman M, Slagboom P, Portielje J, Mooijaart S, Van Munster B. The association of blood biomarkers with outcomes in older patients with solid tumors: a systematic review. J Geriatr Oncol 2022. [DOI: 10.1016/s1879-4068(22)00286-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Zonneveld M, Noordam R, Sabayan B, Stott D, Mooijaart S, Blauw G, Jukema W, Sattar N, Trompet S. Weight loss, visit-to-visit body weight variability and cognitive function in a cohort of older people with or at risk of atherosclerotic cardiovascular disease. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Siland JE, Geelhoed B, Roselli C, Wang B, Lin HJ, Weiss S, Trompet S, van den Berg ME, Soliman EZ, Chen LY, Ford I, Jukema JW, Macfarlane PW, Kornej J, Lin H, Lunetta KL, Kavousi M, Kors JA, Ikram MA, Guo X, Yao J, Dörr M, Felix SB, Völker U, Sotoodehnia N, Arking DE, Stricker BH, Heckbert SR, Lubitz SA, Benjamin EJ, Alonso A, Ellinor PT, van der Harst P, Rienstra M. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium. PLoS One 2022; 17:e0268768. [PMID: 35594314 PMCID: PMC9122202 DOI: 10.1371/journal.pone.0268768] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/06/2022] [Indexed: 12/02/2022] Open
Abstract
Background Both elevated and low resting heart rates are associated with atrial fibrillation (AF), suggesting a U-shaped relationship. However, evidence for a U-shaped causal association between genetically-determined resting heart rate and incident AF is limited. We investigated potential directional changes of the causal association between genetically-determined resting heart rate and incident AF. Method and results Seven cohorts of the AFGen consortium contributed data to this meta-analysis. All participants were of European ancestry with known AF status, genotype information, and a heart rate measurement from a baseline electrocardiogram (ECG). Three strata of instrumental variable-free resting heart rate were used to assess possible non-linear associations between genetically-determined resting heart rate and the logarithm of the incident AF hazard rate: <65; 65–75; and >75 beats per minute (bpm). Mendelian randomization analyses using a weighted resting heart rate polygenic risk score were performed for each stratum. We studied 38,981 individuals (mean age 59±10 years, 54% women) with a mean resting heart rate of 67±11 bpm. During a mean follow-up of 13±5 years, 4,779 (12%) individuals developed AF. A U-shaped association between the resting heart rate and the incident AF-hazard ratio was observed. Genetically-determined resting heart rate was inversely associated with incident AF for instrumental variable-free resting heart rates below 65 bpm (hazard ratio for genetically-determined resting heart rate, 0.96; 95% confidence interval, 0.94–0.99; p = 0.01). Genetically-determined resting heart rate was not associated with incident AF in the other two strata. Conclusions For resting heart rates below 65 bpm, our results support an inverse causal association between genetically-determined resting heart rate and incident AF.
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Affiliation(s)
- J. E. Siland
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B. Geelhoed
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - C. Roselli
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - B. Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - H. J. Lin
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - S. Weiss
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics; University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
| | - S. Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M. E. van den Berg
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E. Z. Soliman
- Division of Public Health Sciences and Department of Medicine, Epidemiological Cardiology Research Center, Department of Epidemiology and Prevention, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - L. Y. Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, United States of America
| | - I. Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - J. W. Jukema
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - P. W. Macfarlane
- Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - J. Kornej
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - H. Lin
- National Heart Lung and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, Unites States of America
| | - K. L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - M. Kavousi
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J. A. Kors
- Department of Medical Informatics, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M. A. Ikram
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - X. Guo
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - J. Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - M. Dörr
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B-Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, University Medicine Greifswald, Greifswald, Germany
| | - S. B. Felix
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B-Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, University Medicine Greifswald, Greifswald, Germany
| | - U. Völker
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics; University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research); partner site Greifswald, Greifswald, Germany
| | - N. Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, Unites States of America
| | - D. E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University SOM, Baltimore, MD, Unites States of America
| | - B. H. Stricker
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - S. R. Heckbert
- Cardiovascular Health Research Unit and the Department of Epidemiology, University of Washington, Seattle, WA, Unites States of America
| | - S. A. Lubitz
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Unites States of America
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA, Unites States of America
| | - E. J. Benjamin
- Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
- Department of Medicine, Boston University School of Medicine, Boston, MA, Unites States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, Unites States of America
| | - A. Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, Unites States of America
| | - P. T. Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Unites States of America
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA, Unites States of America
| | - P. van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University Medical Center Utrecht, Department of Heart and Lungs, University of Utrecht, Utrecht, The Netherlands
| | - M. Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
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van Holstein Y, Trompet S, van Deudekom F, van Munster B, de Glas N, van den Bos F, Uit den Boogaard A, van der Elst M, van der Kaaij M, Neelis K, Langers A, Slingerland M, Portielje J, Mooijaart S. Geriatric assessment and treatment outcomes in a Dutch cohort of older patients with esophageal cancer. J Geriatr Oncol 2021. [DOI: 10.1016/s1879-4068(21)00455-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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8
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Van Vliet N, Bos M, Thesing C, Chaker L, Pietzner M, Houtman E, Neville M, Li-Gao R, Trompet S, Mustafa R, Ahmadizar F, Beekman M, Bot M, Budde K, Christodoulides C, Dehghan A, Delles C, Elliott P, Evangelou M, Gao H, Ghanbari M, Van Herwaarden A, Ikram M, Jaeger M, Jukema J, Karaman I, Karpe F, Kloppenburg M, Meessen J, Meulenbelt I, Milaneschi Y, Mooijaart S, Mook-Kanamori D, Netea M, Netea-Maier R, Peeters R, Penninx B, Sattar N, Slagboom P, Suchiman H, Völzke H, Van Dijk KW, Noordam R. Higher thyroid stimulating hormone leads to cardiovascular disease and an unfavorable lipid profile: EVidence from multi-cohort Mendelian randomization and metabolomic profiling. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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9
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Jansen S, Huiskens B, Trompet S, Jukema J, Mooijaart S, Van Dijk KW, Verwoert G, Noordam R. Classical risk factors for primary coronary artery disease from an ageing perspective through Mendelian randomization. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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10
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Zonneveld MH, Noordam R, van der Grond J, van Heemst D, Mooijaart SP, Sabayan B, Jukema JW, Trompet S. Interplay of circulating leptin and obesity in cognition and cerebral volumes in older adults. Peptides 2021; 135:170424. [PMID: 33058961 DOI: 10.1016/j.peptides.2020.170424] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/16/2020] [Accepted: 10/08/2020] [Indexed: 10/23/2022]
Abstract
We aimed to investigate whether circulating leptin and body mass index (BMI) associate independently with cognitive function (decline) and brain volumes using magnetic resonance imaging (MRI) in older individuals at risk of cardiovascular disease. We studied the cross-sectional and longitudinal associations in participants enrolled in the PROSPER study (Prospective Study of Pravastatin in the Elderly at Risk). Cognitive function was tested at baseline and repeated during a mean follow-up time of 3.2 years. Analyses were performed with multivariable (repeated) linear regression models and adjusted for demographics, cardiovascular risk-factors, and stratified by sex. We included 5623 dementia-free participants (52 % female, mean age 75 years) with a mean BMI of 26.9 (SD = 4.1). In a sub-study, 527 participants underwent brain MRI. At baseline, individuals with a BMI > 30 had a worse performance on the Stroop test (β 5.0 s, 95 %CI 2.6;7.5) and larger volumes of the amygdala (β 234 mm3, 95 %CI 3;464) and hippocampus (β 590 mm3, 95 %CI 181;999), independent of intracranial volume and serum leptin levels, compared with individuals with the reference BMI (BMI 18-25 kg/m2). Per log ng/mL higher serum leptin, independent of BMI, a 135 mm3 (95 %CI 2;268) higher volume of the amygdala was found, but no association was observed with cognitive tests nor with other brain volumes. Stratification for sex did not materially change the results. Whereas higher BMI associated with worse cognitive function independent of leptin levels, our study provided evidence that leptin and BMI independently associate with amygdala volume suggesting potential distinct biological associations.
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Affiliation(s)
- M H Zonneveld
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - R Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - J van der Grond
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - D van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - S P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - B Sabayan
- Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, United States.
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands; Netherlands Heart Institute, 3511 EP Utrecht, the Netherlands.
| | - S Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
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11
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Zijlstra LE, van Velzen DM, Simsek S, Mooijaart SP, van Buren M, Stott DJ, Ford I, Jukema JW, Trompet S. The kidney, subclinical thyroid disease and cardiovascular outcomes in older patients. Endocr Connect 2020; 9:55-62. [PMID: 31846431 PMCID: PMC6993270 DOI: 10.1530/ec-19-0502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 12/17/2019] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Thyroid hormones have been implicated to play a role in cardiovascular disease, along with studies linking thyroid hormone to kidney function. The aim of this study is to investigate whether kidney function modifies the association of subclinical thyroid dysfunction and the risk of cardiovascular outcomes. METHODS In total, 5804 patients were included in the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). For the current analysis, 426 were excluded because of overt thyroid disease at baseline or 6 months, 266 because of inconsistent thyroid function at baseline and 6 months, 294 because of medication use that could influence thyroid function, and 16 because of missing kidney or thyroid values. Participants with normal fT4 were classified, based on TSH both at inclusion and 6 months, into three groups: subclinical hypothyroidism (TSH >4.5 mIU/L); euthyroidism (TSH = 0.45-4.5 mIU/L); and subclinical hyperthyroidism (TSH <0.45 mIU/L). Strata of kidney function were made based on estimated glomerular filtration rate into three clinically relevant groups: <45, 45-60, and >60 mL/min/1.73 m2. The primary endpoint consists of death from coronary heart disease, non-fatal myocardial infarction and (non)fatal stroke. RESULTS Mean age was 75.3 years, and 49.0% patients were male. Mean follow-up was 3.2 years. Of all participants, 109 subjects (2.2%) had subclinical hypothyroidism, 4573 (94.0%) had euthyroidism, and 182 (3.7%) subclinical hyperthyroidism. For patients with subclinical hypothyroidism, euthyroidism, and subclinical hyperthyroidism, primary outcome occurred in 9 (8.3%), 712 (15.6%), and 23 (12.6%) patients, respectively. No statistically significant relationship was found between subclinical thyroid dysfunction and primary endpoint with adjusted hazard ratios of 0.51 (0.24-1.07) comparing subclinical hyperthyroidism and 0.90 (0.58-1.39) comparing subclinical hypothyroidism with euthyroidism. Neither was this relationship present in any of the strata of kidney function, nor did kidney function interact with subclinical thyroid dysfunction in the association with primary endpoint (P interaction = 0.602 for subclinical hyperthyroidism and 0.388 for subclinical hypothyroidism). CONCLUSIONS In this secondary analysis from PROSPER, we found no evidence that the potential association between thyroid hormones and cardiovascular disease is modified by kidney function in older patients with subclinical thyroid dysfunction.
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Affiliation(s)
- L E Zijlstra
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Correspondence should be addressed to L E Zijlstra:
| | - D M van Velzen
- Department of Internal Medicine, Section of Endocrinology, Northwest Clinics, Alkmaar, The Netherlands
| | - S Simsek
- Department of Internal Medicine, Section of Endocrinology, Northwest Clinics, Alkmaar, The Netherlands
| | - S P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M van Buren
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, HagaHospital, The Hague, The Netherlands
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - I Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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12
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de Las Fuentes L, Sung YJ, Sitlani CM, Avery CL, Bartz TM, Keyser CD, Evans DS, Li X, Musani SK, Ruiter R, Smith AV, Sun F, Trompet S, Xu H, Arnett DK, Bis JC, Broeckel U, Busch EL, Chen YDI, Correa A, Cummings SR, Floyd JS, Ford I, Guo X, Harris TB, Ikram MA, Lange L, Launer LJ, Reiner AP, Schwander K, Smith NL, Sotoodehnia N, Stewart JD, Stott DJ, Stürmer T, Taylor KD, Uitterlinden A, Vasan RS, Wiggins KL, Cupples LA, Gudnason V, Heckbert SR, Jukema JW, Liu Y, Psaty BM, Rao DC, Rotter JI, Stricker B, Wilson JG, Whitsel EA. Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry. Pharmacogenomics J 2019; 20:482-493. [PMID: 31806883 PMCID: PMC7260079 DOI: 10.1038/s41397-019-0132-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/13/2019] [Accepted: 11/20/2019] [Indexed: 01/11/2023]
Abstract
Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9,925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross-sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5×10−8) loci with single nucleotide variant (SNV)-loop diuretic interaction on TG concentrations (including COL11A1). Analysis of AA data identified one genome-wide significant locus adjacent to BMP2 with SNV-loop diuretic interaction on TG concentrations. Trans-ancestry analysis strengthened evidence of association for SNV-loop diuretic interaction at two loci (KIAA1217 and BAALC). There were few significant SNV-thiazide diuretic interaction associations on TG concentrations and for either diuretic on cholesterol concentrations. Several promising loci were identified that may implicate biologic pathways that contribute to adverse metabolic side effects from diuretic therapy.
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Affiliation(s)
- L de Las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA.
| | - Y J Sung
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - C L Avery
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - T M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - C de Keyser
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D S Evans
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - S K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - H Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - D K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - U Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Y-D I Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - S R Cummings
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - J S Floyd
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow, Glasgow, UK
| | - X Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - T B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - M A Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - L Lange
- Department of Genetics, University of Colorado, Denver, Denver, CO, USA
| | - L J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - A P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,School of Public Health, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - K Schwander
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - N L Smith
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.,Seattle Epidemiologic Research and Information Center (ERIC), VA Cooperative Studies Program, VA Puget Sound Health Care System, Seattle, WA, USA
| | - N Sotoodehnia
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA.,Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J D Stewart
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - D J Stott
- Institute of cardiovascular and medical sciences, Faculty of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - T Stürmer
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R S Vasan
- The Framingham Heart Study, Framingham, MA, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - K L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - S R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University, Winston-, Salem, NC, USA
| | - B M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - D C Rao
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - B Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J G Wilson
- Biophysics and Physiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - E A Whitsel
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,School of Medicine, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
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13
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Sigit F, Tahapary D, Sartono E, Trompet S, Yazdanbakhsh M, Rosendaal F, de Mutsert R. The Prevalence Of Metabolic Syndrome And Its Association With Body Fat Distribution In A Dutch And Indonesian Population. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.400] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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14
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Ibi D, Noordam R, van Klinken J, Li-Gao R, de Mutsert R, Trompet S, Christen T, van Heemst D, Mook-Kanamori D, Rosendaal F, Jukema J, Rensen P, van Dijk K. Common Genetic Variation In Hepatic Lipase (Lipc) Associated With Postprandial Lipid Metabolism In A Genome-Wide Association And Metabolomics Study. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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15
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Christen T, Trompet S, Rensen PCN, Willems van Dijk K, Lamb HJ, Jukema JW, Rosendaal FR, le Cessie S, de Mutsert R. The role of inflammation in the association between overall and visceral adiposity and subclinical atherosclerosis. Nutr Metab Cardiovasc Dis 2019; 29:728-735. [PMID: 31138500 DOI: 10.1016/j.numecd.2019.03.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 02/23/2019] [Accepted: 03/17/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND AND AIMS Inflammation may underlie the association between obesity, atherosclerosis and cardiovascular disease. We investigated to what extent markers of inflammation mediate associations between overall and visceral body fat and subclinical atherosclerosis. METHODS AND RESULTS In this cross-sectional analysis of the Netherlands Epidemiology of Obesity study we estimated total body fat (TBF) by bio-impedance analysis, carotid artery intima media thickness (cIMT) by ultrasound, C-reactive protein (hs-CRP) and glycoprotein acetyls (GlycA) concentrations in fasting blood samples (n = 5627), and visceral adipose tissue (VAT) by magnetic resonance imaging (n = 2247). We examined associations between TBF and VAT, and cIMT using linear regression, adjusted for potential confounding factors, and for mediators: cardiometabolic risk factors (blood pressure, glucose and low-density lipoprotein cholesterol), and inflammation using CRP and GlycA as proxies. Mean (SD) cIMT was 615 (90) μm. Per SD of TBF (8%), cIMT was 19 μm larger (95% confidence interval, CI: 10, 28). This association was 17 μm (95% CI: 8, 27) after adjustment for cardiometabolic risk factors, and did not change after adjustment for markers of inflammation. Per SD (56 cm2) VAT, cIMT was 9 μm larger (95% CI: 2, 16) which changed to 5 μm (95% CI: -3, 12) after adjustment for cardiometabolic risk factors, and did not change after adjustment for inflammatory markers. CONCLUSION Our results suggest that associations between measures of overall and visceral body fat and subclinical atherosclerosis are not mediated by inflammation as measured by CRP and GlycA. Obesity may exert cardiovascular risk via other markers of systemic inflammation.
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Affiliation(s)
- T Christen
- Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300, RC, Leiden, the Netherlands.
| | - S Trompet
- Department of Medicine, Division of Gerontology and Geriatrics, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - P C N Rensen
- Department of Medicine, Division of Endocrinology, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands; Einthoven Laboratory for Experimental Vascular Medicine, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - K Willems van Dijk
- Department of Medicine, Division of Endocrinology, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands; Einthoven Laboratory for Experimental Vascular Medicine, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands; Department of Human Genetics, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - H J Lamb
- Department of Radiology, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - J W Jukema
- Department of Cardiology, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - S le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300, RC, Leiden, the Netherlands; Department of Biomedical Data Sciences, LUMC, PO Box 9600, 2300, RC, Leiden, the Netherlands
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300, RC, Leiden, the Netherlands
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16
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Elffers T, Trompet S, de Mutsert R, Maan A, Lamb H, Macfarlane P, Rosendaal F, Jukema J. Borderline Q-waves in individuals without overt cardiovascular disease: Relations with adiposity, subclinical atherosclerosis and vascular stiffness. Int J Cardiol 2019; 274:331-336. [DOI: 10.1016/j.ijcard.2018.08.088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 08/16/2018] [Accepted: 08/29/2018] [Indexed: 01/18/2023]
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17
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Nossent AY, Hakansson KJE, Goossens EAC, Trompet S, Van Der Kwast RVTC, De Vries MR, Ripa R, Kastrup J, Jukema JW, Quax PHA. P153More on noncoding RNAs: genetic associations, regulation of expression and in vitro studies show an independent role for small nucleolar RNAs in cardiovascular disease. Cardiovasc Res 2018. [DOI: 10.1093/cvr/cvy060.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- A Y Nossent
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
| | - KJE Hakansson
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
| | - EAC Goossens
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
| | - S Trompet
- Leiden University Medical Center, Leiden, Netherlands
| | - RVTC Van Der Kwast
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
| | - M R De Vries
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
| | - R Ripa
- Rigshospitalet - Copenhagen University Hospital, Copenhagen, Denmark
| | - J Kastrup
- Rigshospitalet - Copenhagen University Hospital, Copenhagen, Denmark
| | - J W Jukema
- Leiden University Medical Center, Leiden, Netherlands
| | - PHA Quax
- Leiden University Medical Center, Department of Vascular Surgery, Leiden, Netherlands
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Seyerle AA, Sitlani CM, Noordam R, Gogarten SM, Li J, Li X, Evans DS, Sun F, Laaksonen MA, Isaacs A, Kristiansson K, Highland HM, Stewart JD, Harris TB, Trompet S, Bis JC, Peloso GM, Brody JA, Broer L, Busch EL, Duan Q, Stilp AM, O'Donnell CJ, Macfarlane PW, Floyd JS, Kors JA, Lin HJ, Li-Gao R, Sofer T, Méndez-Giráldez R, Cummings SR, Heckbert SR, Hofman A, Ford I, Li Y, Launer LJ, Porthan K, Newton-Cheh C, Napier MD, Kerr KF, Reiner AP, Rice KM, Roach J, Buckley BM, Soliman EZ, de Mutsert R, Sotoodehnia N, Uitterlinden AG, North KE, Lee CR, Gudnason V, Stürmer T, Rosendaal FR, Taylor KD, Wiggins KL, Wilson JG, Chen YD, Kaplan RC, Wilhelmsen K, Cupples LA, Salomaa V, van Duijn C, Jukema JW, Liu Y, Mook-Kanamori DO, Lange LA, Vasan RS, Smith AV, Stricker BH, Laurie CC, Rotter JI, Whitsel EA, Psaty BM, Avery CL. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 2018; 18:215-226. [PMID: 28719597 PMCID: PMC5773415 DOI: 10.1038/tpj.2017.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/14/2017] [Accepted: 03/09/2017] [Indexed: 12/23/2022]
Abstract
Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.
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Affiliation(s)
- A A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - C M Sitlani
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Noordam
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S M Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - M A Laaksonen
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - A Isaacs
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- CARIM School of Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - K Kristiansson
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - H M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - J D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - G M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - L Broer
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Q Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - A M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - C J O'Donnell
- Department of Medicine, Harvard University, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Cardiology Section, Boston Veterans Administration Healthcare, Boston, MA, USA
| | - P W Macfarlane
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - J S Floyd
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J A Kors
- Department of Medical Informatics, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - T Sofer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - S R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Y Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - L J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - K Porthan
- Division of Cardiology, Heart and Lung Center, Helsinki University Central Hospital, Helsinki, Finland
| | - C Newton-Cheh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - E Z Soliman
- Epidemiology Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - C R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - T Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - J G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Y-Di Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - K Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- The Renaissance Computing Institute, Chapel Hill, NC, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - V Salomaa
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - C van Duijn
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of BESC, Epidemiology Section, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - L A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - R S Vasan
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine and Epidemiology, Department of Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - B H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Inspectorate of Health Care, Utrecht, The Netherlands
| | - C C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - B M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - C L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
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19
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Smit RAJ, Noordam R, le Cessie S, Trompet S, Jukema JW. A critical appraisal of pharmacogenetic inference. Clin Genet 2018; 93:498-507. [PMID: 29136278 DOI: 10.1111/cge.13178] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 10/25/2017] [Accepted: 11/09/2017] [Indexed: 01/06/2023]
Abstract
In essence, pharmacogenetic research is aimed at discovering variants of importance to gene-treatment interaction. However, epidemiological studies are rarely set up with this goal in mind. It is therefore of great importance that researchers clearly communicate which assumptions they have had to make, and which inherent limitations apply to the interpretation of their results. This review discusses considerations of, and the underlying assumptions for, utilizing different response phenotypes and study designs popular in pharmacogenetic research to infer gene-treatment interaction effects, with a special focus on those dealing with of clinical effects of drug treatment.
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Affiliation(s)
- R A J Smit
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - R Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - S le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands
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20
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Zijlstra LE, Jukema JW, Mooijaart SP, de Vries MA, Stott DJ, Castro Cabezas M, Trompet S. Association of complement receptor 1 gene polymorphisms with cognitive function. Physiol Genomics 2018; 50:102-103. [PMID: 29212848 PMCID: PMC5867616 DOI: 10.1152/physiolgenomics.00102.2017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Previous evidence suggest involvement of the complement receptor 1 (CR1) in development of Alzheimer’s disease. We investigated the association of CR1 gene polymorphisms with cognitive function in older subjects. Single nucleotide polymorphisms (SNPs) within the CR1 region on chromosome 1 (n = 73) were assessed in 5,244 participants in the PROspective Study of Pravastatin in the Elderly at Risk (51.9% female, mean age 75.3 yr). Linear regression, adjusted for age, sex, country, and use of pravastatin, was used to assess the association between the SNPs and cognitive function. All 73 SNPs within the genomic region of the CR1 gene on chromosome 1 were extracted. Eighteen were independent, according to a relatively stringent R2 threshold of >0.8 with LDlink. Twelve of the 18 investigated CR1 SNPs were significantly associated with a decline in cognitive function (all P < 0.05). These data indicate that genetic variation within the CR1 gene is associated not only with Alzheimer’s disease, but also with general cognitive function during late life.
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Affiliation(s)
- L E Zijlstra
- Department of Cardiology, Leiden University Medical Center , Leiden , The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center , Leiden , The Netherlands
| | - S P Mooijaart
- Department of Gerontology and Geriatrics, Leiden University Medical Center , Leiden , The Netherlands
| | - M A de Vries
- Department of Internal Medicine, Center for Diabetes and Vascular Medicine, Franciscus Gasthuis, Rotterdam , The Netherlands
| | - D J Stott
- Department of Geriatric Medicine, University of Glasgow , Glasgow , Scotland
| | - M Castro Cabezas
- Department of Internal Medicine, Center for Diabetes and Vascular Medicine, Franciscus Gasthuis, Rotterdam , The Netherlands
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center , Leiden , The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center , Leiden , The Netherlands
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21
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Smit RAJ, le Cessie S, Jukema JW, Trompet S. Response to Ciuculete et al. Clin Genet 2017; 92:565. [PMID: 28990170 DOI: 10.1111/cge.13041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 04/19/2017] [Accepted: 04/20/2017] [Indexed: 11/28/2022]
Affiliation(s)
- R A J Smit
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - S le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
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22
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Elffers T, De Mutsert R, Lamb H, Maan A, Macfarlane P, Willems Van Dijk J, Rosendaal F, Jukema J, Trompet S. P4406The associations of overall and abdominal adiposity with ECG measures of subclinical cardiovascular disease in a middle-aged population. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx504.p4406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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23
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Blauw LL, Noordam R, Trompet S, Berbée JFP, Rosendaal FR, van Heemst D, van Dijk KW, Mook-Kanamori DO, de Mutsert R, Rensen PCN. Genetic variation in the obesity gene FTO is not associated with decreased fat oxidation: the NEO study. Int J Obes (Lond) 2017. [PMID: 28626215 DOI: 10.1038/ijo.2017.146] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND The fat mass and obesity-associated (FTO) gene harbors the strongest common genetic variant associated with obesity. Recently, rs1421085-T to -C substitution mapped in FTO was shown to induce a developmental shift of human adipocytes from an energy-combusting beige to an energy-storing white phenotype in vitro. As browning of adipocytes selectively enhances fat oxidation (FatOx), we hypothesized that rs1421085-C in FTO is associated with deceased FatOx compared with carbohydrate oxidation (CarbOx) and an increased respiratory quotient (RQ). METHODS In the Netherlands Epidemiology of Obesity study, a population-based cohort study of middle-aged individuals (45-65 years), anthropometry and genotyping was performed (n=5744), in addition to indirect calorimetry (n=1246). With linear regression analyses, we examined associations of rs1421085 genotype with FatOx, CarbOx and RQ. RESULTS In the total study population, 36.7% carried the rs1421085-TT genotype, 47.6% rs1421085-CT and 15.7% rs1421085-CC. Mean (s.d.) age was 56 (6) years, mean (s.d.), body mass index (BMI) was 26.3 (4.4) kg m-2 and 56% of the total population were women. Measures of adiposity (difference, 95% confidence interval) were higher in CC carriers compared with that in rs1421085-TT carriers: BMI +0.56 (0.15, 0.98) kg m-2, waist circumference +1.25 (0.02, 2.49) cm and total body fat mass +1.21 (0.28, 2.14) kg. However, no differences in mean FatOx (+2.5 (-2.4, 7.4) mg min-1), CarbOx (-6.1 (-17.4, 5.2) mg min-1) or RQ (-0.01 (-0.02, 0.01)) were observed between the two genotypes. CONCLUSIONS We observed no evidence for associations of rs1421085 in FTO with FatOx and RQ. This indicates that the rs1421085-C allele in FTO induces obesity likely via other pathways than via reduced FatOx.
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Affiliation(s)
- L L Blauw
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - R Noordam
- Department of Medicine, Division of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S Trompet
- Department of Medicine, Division of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.,Department Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J F P Berbée
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - D van Heemst
- Department of Medicine, Division of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - K W van Dijk
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.,Department Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - P C N Rensen
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
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Christen T, Trompet S, Gast K, Rensen P, Willems van Dijk J, Lamb H, de Roos A, Jukema J, Rosendaal F, Le Cessie S, de Mutsert R. The role of inflammation in the association between adiposity and subclinical atherosclerosis. Atherosclerosis 2016. [DOI: 10.1016/j.atherosclerosis.2016.07.093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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25
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Trompet S, Postmus I, Slagboom PE, Heijmans BT, Smit RAJ, Maier AB, Buckley BM, Sattar N, Stott DJ, Ford I, Westendorp RGJ, de Craen AJM, Jukema JW. Non-response to (statin) therapy: the importance of distinguishing non-responders from non-adherers in pharmacogenetic studies. Eur J Clin Pharmacol 2016; 72:431-7. [PMID: 26686871 PMCID: PMC4792342 DOI: 10.1007/s00228-015-1994-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 12/01/2015] [Indexed: 11/16/2022]
Abstract
PURPOSE In pharmacogenetic research, genetic variation in non-responders and high responders is compared with the aim to identify the genetic loci responsible for this variation in response. However, an important question is whether the non-responders are truly biologically non-responsive or actually non-adherent? Therefore, the aim of this study was to describe, within the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER), characteristics of both non-responders and high responders of statin treatment in order to possibly discriminate non-responders from non-adherers. METHODS Baseline characteristics of non-responders to statin therapy (≤10 % LDL-C reduction) were compared with those of high responders (>40 % LDL-C reduction) through a linear regression analysis. In addition, pharmacogenetic candidate gene analysis was performed to show the effect of excluding non-responders from the analysis. RESULTS Non-responders to statin therapy were younger (p = 0.001), more often smoked (p < 0.001), had a higher alcohol consumption (p < 0.001), had lower LDL cholesterol levels (p < 0.001), had a lower prevalence of hypertension (p < 0.001), and had lower cognitive function (p = 0.035) compared to subjects who highly responded to pravastatin treatment. Moreover, excluding non-responders from pharmacogenetic studies yielded more robust results, as standard errors decreased. CONCLUSION Our results suggest that non-responders to statin therapy are more likely to actually be non-adherers, since they have more characteristics that are viewed as indicators of high self-perceived health and low disease awareness, possibly making the subjects less adherent to study medication. We suggest that in pharmacogenetic research, extreme non-responders should be excluded to overcome the problem that non-adherence is investigated instead of non-responsiveness.
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Affiliation(s)
- S Trompet
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - P E Slagboom
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - B T Heijmans
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - R A J Smit
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - A B Maier
- Section Gerontology and Geriatrics, Department of Internal Medicine, VU Medical Center, Amsterdam, The Netherlands
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - R G J Westendorp
- Faculty of Health and Medical Sciences, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - J W Jukema
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, the Netherlands
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26
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Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, Chibnik LB, Liu Y, Vitart V, Kirin M, Petrovic K, Polasek O, Zgaga L, Fawns-Ritchie C, Hoffmann P, Karjalainen J, Lahti J, Llewellyn DJ, Schmidt CO, Mather KA, Chouraki V, Sun Q, Resnick SM, Rose LM, Oldmeadow C, Stewart M, Smith BH, Gudnason V, Yang Q, Mirza SS, Jukema JW, deJager PL, Harris TB, Liewald DC, Amin N, Coker LH, Stegle O, Lopez OL, Schmidt R, Teumer A, Ford I, Karbalai N, Becker JT, Jonsdottir MK, Au R, Fehrmann RSN, Herms S, Nalls M, Zhao W, Turner ST, Yaffe K, Lohman K, van Swieten JC, Kardia SLR, Knopman DS, Meeks WM, Heiss G, Holliday EG, Schofield PW, Tanaka T, Stott DJ, Wang J, Ridker P, Gow AJ, Pattie A, Starr JM, Hocking LJ, Armstrong NJ, McLachlan S, Shulman JM, Pilling LC, Eiriksdottir G, Scott RJ, Kochan NA, Palotie A, Hsieh YC, Eriksson JG, Penman A, Gottesman RF, Oostra BA, Yu L, DeStefano AL, Beiser A, Garcia M, Rotter JI, Nöthen MM, Hofman A, Slagboom PE, Westendorp RGJ, Buckley BM, Wolf PA, Uitterlinden AG, Psaty BM, Grabe HJ, Bandinelli S, Chasman DI, Grodstein F, Räikkönen K, Lambert JC, Porteous DJ, Price JF, Sachdev PS, Ferrucci L, Attia JR, Rudan I, Hayward C, Wright AF, Wilson JF, Cichon S, Franke L, Schmidt H, Ding J, de Craen AJM, Fornage M, Bennett DA, Deary IJ, Ikram MA, Launer LJ, Fitzpatrick AL, Seshadri S, van Duijn CM, Mosley TH. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 2016; 21:189-197. [PMID: 25869804 PMCID: PMC4722802 DOI: 10.1038/mp.2015.37] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 01/21/2015] [Accepted: 02/11/2015] [Indexed: 01/20/2023]
Abstract
To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.
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Affiliation(s)
- CA Ibrahim-Verbaas
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - J Bressler
- Human Genetics Center, School of Public Health, University of
Texas Health Science Center at Houston, Houston, TX, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Debette
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,Institut National de la Santé et de la Recherche
Médicale (INSERM), U897, Epidemiology and Biostatistics, University of Bordeaux,
Bordeaux, France,Department of Neurology, Bordeaux University Hospital, Bordeaux,
France,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - M Schuur
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - AV Smith
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - JC Bis
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands,Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - JA Smith
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - C Wolf
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - LB Chibnik
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Y Liu
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - O Polasek
- Department of Public Health, University of Split, Split,
Croatia
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College
Dublin, Dublin, Ireland
| | - C Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - P Hoffmann
- Institute of Neuroscience and Medicine (INM -1), Research
Center Juelich, Juelich, Germany,Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - J Karjalainen
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - DJ Llewellyn
- Institute of Biomedical and Clinical Sciences, University of
Exeter Medical School, Exeter, UK
| | - CO Schmidt
- Institute for Community Medicine, University Medicine
Greifswald, Greifswald, Germany
| | - KA Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
| | - V Chouraki
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - Q Sun
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - SM Resnick
- Laboratory of Behavioral Neuroscience, National Institute on
Aging, NIH, Baltimore, MD, USA
| | - LM Rose
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - M Stewart
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - BH Smith
- Medical Research Institute, University of Dundee, Dundee,
UK
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland
| | - Q Yang
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - SS Mirza
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - JW Jukema
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands
| | - PL deJager
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - TB Harris
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - DC Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - LH Coker
- Division of Public Health Sciences and Neurology, Wake Forest
School of Medicine, Winston-Salem, NC, USA
| | - O Stegle
- Max Planck Institute for Developmental Biology, Max Planck
Institute for Intelligent Systems, Tübingen, Germany
| | - OL Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA
| | - R Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - A Teumer
- Interfaculty Institute for Genetics and Functional Genomics,
University Medicine Greifswald, Greifswald, Germany
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow,
Glasgow, UK
| | - N Karbalai
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - JT Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh,
PA, USA
| | | | - R Au
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - RSN Fehrmann
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - S Herms
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Nalls
- Laboratory of Neurogenetics, National Institute on Aging,
Bethesda, MD, USA
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - ST Turner
- Division of Nephrology and Hypertension, Department of Internal
Medicine, Mayo Clinic, Rochester, MN, USA
| | - K Yaffe
- Departments of Psychiatry, Neurology and Epidemiology,
University of California, San Francisco and San Francisco VA Medical Center, San Francisco,
CA, USA
| | - K Lohman
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - JC van Swieten
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - SLR Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - DS Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - WM Meeks
- Department of Medicine, Division of Geriatrics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - G Heiss
- Department of Epidemiology, Gillings School of Global Public
Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - EG Holliday
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - PW Schofield
- School of Medicine and Public Health, Faculty of Health,
University of Newcastle, Newcastle, SW, Australia
| | - T Tanaka
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - DJ Stott
- Department of Cardiovascular and Medical Sciences, University
of Glasgow, Glasgow, UK
| | - J Wang
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - P Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - AJ Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Research Centre, Edinburgh, UK
| | - LJ Hocking
- Division of Applied Medicine, University of Aberdeen, Aberdeen,
UK
| | - NJ Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Cancer Research Program, Garvan Institute of Medical Research,
Sydney, NSW, Australia,School of Mathematics & Statistics and Prince of Wales
Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - S McLachlan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - JM Shulman
- Department of Neurology, Baylor College of Medicine, Houston,
TX, USA,Department of Molecular and Human Genetics, The Jan and Dan
Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - LC Pilling
- Epidemiology and Public Health Group, University of Exeter
Medical School, Exeter, UK
| | | | - RJ Scott
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - NA Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus,
Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of
Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and
University Central Hospital, Helsinki, Finland
| | - Y-C Hsieh
- School of Public Health, Taipei Medical University, Taipei,
Taiwan
| | - JG Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,Department of General Practice and Primary Health Care,
University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki,
Finland,Helsinki University Central Hospital, Unit of General Practice,
Helsinki, Finland,Vasa Central Hospital, Vasa, Finland
| | - A Penman
- Center of Biostatistics and Bioinformatics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - RF Gottesman
- Department of Neurology, Johns Hopkins University School of
Medicine, Baltimore, MD, USA
| | - BA Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - AL DeStefano
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - M Garcia
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - JI Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los
Angeles, CA, USA,Institute for Translational Genomics and Population Sciences,
Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA,
USA,Division of Genetic Outcomes, Department of Pediatrics,
Harbor-UCLA Medical Center, Torrance, CA, USA
| | - MM Nöthen
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn,
Germany
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - PE Slagboom
- Department of Molecular Epidemiology, Leiden University Medical
Center, Leiden, The Netherlands
| | - RGJ Westendorp
- Leiden Academy of Vitality and Ageing, Leiden, The
Netherlands
| | - BM Buckley
- Department of Pharmacology and Therapeutics, University College
Cork, Cork, Ireland
| | - PA Wolf
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - AG Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Internal Medicine, Erasmus University Medical
Center, Rotterdam, The Netherlands
| | - BM Psaty
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Department of Epidemiology, University of Washington, Seattle,
WA, USA,Department of Health Services, University of Washington,
Seattle, WA, USA,Group Health Research Institute, Group Health, Seattle, WA,
USA
| | - HJ Grabe
- Department of Psychiatry and Psychotherapy, University Medicine
Greifswald, HELIOS-Hospital Stralsund, Stralsund, Germany
| | - S Bandinelli
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - DI Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland
| | - J-C Lambert
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - DJ Porteous
- Centre for Genomic and Experimental Medicine, Institute of
Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - JF Price
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - PS Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - L Ferrucci
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - JR Attia
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - AF Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - JF Wilson
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - S Cichon
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,Institute of Neuroscience and Medicine (INM-1), Research Center
Juelich, Juelich, Germany
| | - L Franke
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - H Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - J Ding
- Department of Internal Medicine, Wake Forest University School
of Medicine, Winston-Salem, NC, USA
| | - AJM de Craen
- Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - M Fornage
- Institute for Molecular Medicine and Human Genetics Center,
University of Texas Health Science Center at Houston, Houston, TX, USA
| | - DA Bennett
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - IJ Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - MA Ikram
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Radiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - LJ Launer
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - AL Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle,
WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - CM van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - TH Mosley
- Department of Medicine and Neurology, University of Mississippi
Medical Center, Jackson, MS, USA
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Mooijaart SP, Broekhuizen K, Trompet S, de Craen AJM, Gussekloo J, Oleksik A, van Heemst D, Blauw GJ, Muller M. Evidence-based medicine in older patients: how can we do better? Neth J Med 2015; 73:211-218. [PMID: 26087800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Evidence-based medicine (EBM) aims to integrate three elements in patient care: the patient situation, scientific evidence, and the doctors' expertise. This review aims 1) to assess how these elements are systematically different in older patients and 2) to propose strategies how to improve EBM in older patients. The ageing process systematically affects all three elements that constitute EBM. First, ageing changes the physiology of the older body, makes the patient more vulnerable with more multimorbidity and polypharmacy and affects somatic, psychological and social function. The heterogeneity of older patients may lead to overtreatment of vulnerable and undertreatment of fit older patients. Second, representative older patients are underrepresented in clinical studies and endpoints studied may not reflect the specific needs of older patients. Third, adequate clinical tools and schooling are lacking to aid physicians in clinical decision-making. Strategies to improve elements of EBM include: first systematically acknowledging that physical, mental and social function may reveal patients vulnerability and specific treatment goals. Second, clinical studies specifically targeting more representative older patients and studying endpoints relevant to older patients are warranted. Finally, teaching of physicians may increase their experience and expertise in treating older patients. In conclusion, in older patients the same elements constitute EBM, but the elements need tailoring to the older patient. In the clinic, a thorough assessment of individual patient preferences and physical, mental and social functioning in combination with increased level of experience of the doctor can increase the quality of EBM in older patients.
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Affiliation(s)
- S P Mooijaart
- Departments of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
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28
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Zimmermann E, Ängquist LH, Mirza SS, Zhao JH, Chasman DI, Fischer K, Qi Q, Smith AV, Thinggaard M, Jarczok MN, Nalls MA, Trompet S, Timpson NJ, Schmidt B, Jackson AU, Lyytikäinen LP, Verweij N, Mueller-Nurasyid M, Vikström M, Marques-Vidal P, Wong A, Meidtner K, Middelberg RP, Strawbridge RJ, Christiansen L, Kyvik KO, Hamsten A, Jääskeläinen T, Tjønneland A, Eriksson JG, Whitfield JB, Boeing H, Hardy R, Vollenweider P, Leander K, Peters A, van der Harst P, Kumari M, Lehtimäki T, Meirhaeghe A, Tuomilehto J, Jöckel KH, Ben-Shlomo Y, Sattar N, Baumeister SE, Smith GD, Casas JP, Houston DK, März W, Christensen K, Gudnason V, Hu FB, Metspalu A, Ridker PM, Wareham NJ, Loos RJF, Tiemeier H, Sonestedt E, Sørensen TIA. Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults. Obes Rev 2015; 16:327-340. [PMID: 25752329 PMCID: PMC4564522 DOI: 10.1111/obr.12263] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Accepted: 12/12/2014] [Indexed: 11/28/2022]
Abstract
Previously, a single nucleotide polymorphism (SNP), rs9939609, in the FTO gene showed a much stronger association with all-cause mortality than expected from its association with body mass index (BMI), body fat mass index (FMI) and waist circumference (WC). This finding implies that the SNP has strong pleiotropic effects on adiposity and adiposity-independent pathological pathways that leads to increased mortality. To investigate this further, we conducted a meta-analysis of similar data from 34 longitudinal studies including 169,551 adult Caucasians among whom 27,100 died during follow-up. Linear regression showed that the minor allele of the FTO SNP was associated with greater BMI (n = 169,551; 0.32 kg m(-2) ; 95% CI 0.28-0.32, P < 1 × 10(-32) ), WC (n = 152,631; 0.76 cm; 0.68-0.84, P < 1 × 10(-32) ) and FMI (n = 48,192; 0.17 kg m(-2) ; 0.13-0.22, P = 1.0 × 10(-13) ). Cox proportional hazard regression analyses for mortality showed that the hazards ratio (HR) for the minor allele of the FTO SNPs was 1.02 (1.00-1.04, P = 0.097), but the apparent excess risk was eliminated after adjustment for BMI and WC (HR: 1.00; 0.98-1.03, P = 0.662) and for FMI (HR: 1.00; 0.96-1.04, P = 0.932). In conclusion, this study does not support that the FTO SNP is associated with all-cause mortality independently of the adiposity phenotypes.
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Affiliation(s)
- E Zimmermann
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - L H Ängquist
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - S S Mirza
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - J H Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - D I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - K Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Q Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,University of Icelandic, Reykajvik, Iceland
| | - M Thinggaard
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - M N Jarczok
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M A Nalls
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - N J Timpson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - B Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - A U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - L P Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,School of Medicine, University of Tampere, Tampere, Finland
| | - N Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Mueller-Nurasyid
- Department of Medicine I, Ludwig-Maximilians-University, Munich, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Deutsches Forschungszentrum für Herz-Kreislauferkrankungen (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - M Vikström
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular Epidemiology, Stockholm, Sweden
| | - P Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - A Wong
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - K Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - R P Middelberg
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - R J Strawbridge
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - L Christiansen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | | | - K O Kyvik
- Institute of Regional Health Services Research and Odense Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - A Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - T Jääskeläinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - A Tjønneland
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - J G Eriksson
- Diabetes Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.,Department of General Practice and Primary Health Care, Institute of Clinical Medicine, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Centre, Helsinki, Finland.,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - J B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - R Hardy
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - P Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - K Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular Epidemiology, Stockholm, Sweden
| | - A Peters
- Deutsches Forschungszentrum für Herz-Kreislauferkrankungen (DZHK), Partner site Munich Heart Alliance, Munich, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - P van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Genetic, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Durrer Center for Cardiogenetic Research, ICIN-Neterlands Heart Institute, Utrecht, The Netherlands
| | - M Kumari
- Department of Epidemiology and Public Health, University College London, London, UK.,ISER, University of Essex, Colchester, UK
| | - T Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,School of Medicine, University of Tampere, Tampere, Finland
| | - A Meirhaeghe
- Inserm, U744, Institut Pasteur de Lille, University Lille Nord de France, Lille, France
| | - J Tuomilehto
- Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.,Centre for Vascular Prevention, Danube-University Krems, Krems, Austria.,Instituto de Investigacion Sanitaria del Hospital Universario LaPaz (IdiPAZ), Madrid, Spain.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - K-H Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Y Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - S E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - G Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - J P Casas
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.,Institute of Cardiovascular Science, University College London, London, UK
| | - D K Houston
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - W März
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,Synlab Academy, Synlab Services GmbH, Mannheim, Germany
| | - K Christensen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,University of Icelandic, Reykajvik, Iceland
| | - F B Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - P M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - N J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - R J F Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.,The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - H Tiemeier
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands.,Department of Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - E Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - T I A Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark.,MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.,Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
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29
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Davies G, Armstrong N, Bis JC, Bressler J, Chouraki V, Giddaluru S, Hofer E, Ibrahim-Verbaas CA, Kirin M, Lahti J, van der Lee SJ, Le Hellard S, Liu T, Marioni RE, Oldmeadow C, Postmus I, Smith AV, Smith JA, Thalamuthu A, Thomson R, Vitart V, Wang J, Yu L, Zgaga L, Zhao W, Boxall R, Harris SE, Hill WD, Liewald DC, Luciano M, Adams H, Ames D, Amin N, Amouyel P, Assareh AA, Au R, Becker JT, Beiser A, Berr C, Bertram L, Boerwinkle E, Buckley BM, Campbell H, Corley J, De Jager PL, Dufouil C, Eriksson JG, Espeseth T, Faul JD, Ford I, Scotland G, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Heiss G, Hofman A, Holliday EG, Huffman J, Kardia SLR, Kochan N, Knopman DS, Kwok JB, Lambert JC, Lee T, Li G, Li SC, Loitfelder M, Lopez OL, Lundervold AJ, Lundqvist A, Mather KA, Mirza SS, Nyberg L, Oostra BA, Palotie A, Papenberg G, Pattie A, Petrovic K, Polasek O, Psaty BM, Redmond P, Reppermund S, Rotter JI, Schmidt H, Schuur M, Schofield PW, Scott RJ, Steen VM, Stott DJ, van Swieten JC, Taylor KD, Trollor J, Trompet S, Uitterlinden AG, Weinstein G, Widen E, Windham BG, Jukema JW, Wright AF, Wright MJ, Yang Q, Amieva H, Attia JR, Bennett DA, Brodaty H, de Craen AJM, Hayward C, Ikram MA, Lindenberger U, Nilsson LG, Porteous DJ, Räikkönen K, Reinvang I, Rudan I, Sachdev PS, Schmidt R, Schofield PR, Srikanth V, Starr JM, Turner ST, Weir DR, Wilson JF, van Duijn C, Launer L, Fitzpatrick AL, Seshadri S, Mosley TH, Deary IJ. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry 2015; 20:183-92. [PMID: 25644384 PMCID: PMC4356746 DOI: 10.1038/mp.2014.188] [Citation(s) in RCA: 258] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 11/11/2014] [Accepted: 11/24/2014] [Indexed: 01/14/2023]
Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.
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Affiliation(s)
- G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - N Armstrong
- School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - V Chouraki
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - S Giddaluru
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - E Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria,Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - C A Ibrahim-Verbaas
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - S J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Le Hellard
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - T Liu
- Max Planck Institute for Human Development, Berlin, Germany,Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - J A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - A Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Thomson
- Menzies Research Institute, Hobart, Tasmania
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - J Wang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland,Andrija Stampar School of Public Health, Medical School, University of Zagreb, Zagreb, Croatia
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - R Boxall
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - W D Hill
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - H Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - D Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, VIC, Australia,Academic Unit for Psychiatry of Old Age, St George's Hospital, University of Melbourne, Kew, Australia
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - P Amouyel
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - A A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - J T Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - C Berr
- Inserm, U106, Montpellier, France,Université Montpellier I, Montpellier, France
| | - L Bertram
- Max Planck Institute for Molecular Genetics, Berlin, Germany,Faculty of Medicine, School of Public Health, Imperial College, London, UK
| | - E Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA,Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - H Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - P L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - C Dufouil
- Inserm U708, Neuroepidemiology, Paris, France,Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J G Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - T Espeseth
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - J D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - I Ford
- Robertson Center for Biostatistics, Glasgow, UK
| | - Generation Scotland
- Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - R F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M E Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - T B Harris
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - G Heiss
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - E G Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - J Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - S L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - N Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - D S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - J B Kwok
- Neuroscience Research Australia, Randwick, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J-C Lambert
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - T Lee
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - G Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - S-C Li
- Max Planck Institute for Human Development, Berlin, Germany,Technische Universität Dresden, Dresden, Germany
| | - M Loitfelder
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - A Lundqvist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - K A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S S Mirza
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - B A Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - G Papenberg
- Max Planck Institute for Human Development, Berlin, Germany,Karolinska Institutet, Aging Research Center, Stockholm University, Stockholm, Sweden
| | - A Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, Croatia
| | - B M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA,Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Deparment of Health Services, University of Washington, Seattle, WA, USA,Group Health Research Unit, Group Health Cooperative, Seattle, WA, USA
| | - P Redmond
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - H Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria,Centre for Molecular Medicine, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - M Schuur
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P W Schofield
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - J C van Swieten
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - J Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - G Weinstein
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - B G Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands,Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - A F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M J Wright
- Neuroimaging Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Q Yang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - H Amieva
- Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J R Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - D A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - H Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M A Ikram
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - U Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
| | - L-G Nilsson
- ARC, Karolinska Institutet, Stockholm and UFBI, Umeå University, Umeå, Sweden
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - P S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - R Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - V Srikanth
- Menzies Research Institute, Hobart, Tasmania,Stroke and Ageing Research, Medicine, Southern Clinical School, Monash University, Melbourne, VIC, Australia
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - D R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - J F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - C van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Launer
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - A L Fitzpatrick
- Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Department of Global Health, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - T H Mosley
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, Scotland, UK. E-mail:
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30
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Avery CL, Sitlani CM, Arking DE, Arnett DK, Bis JC, Boerwinkle E, Buckley BM, Ida Chen YD, de Craen AJM, Eijgelsheim M, Enquobahrie D, Evans DS, Ford I, Garcia ME, Gudnason V, Harris TB, Heckbert SR, Hochner H, Hofman A, Hsueh WC, Isaacs A, Jukema JW, Knekt P, Kors JA, Krijthe BP, Kristiansson K, Laaksonen M, Liu Y, Li X, Macfarlane PW, Newton-Cheh C, Nieminen MS, Oostra BA, Peloso GM, Porthan K, Rice K, Rivadeneira FF, Rotter JI, Salomaa V, Sattar N, Siscovick DS, Slagboom PE, Smith AV, Sotoodehnia N, Stott DJ, Stricker BH, Stürmer T, Trompet S, Uitterlinden AG, van Duijn C, Westendorp RGJ, Witteman JC, Whitsel EA, Psaty BM. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J 2014; 14:6-13. [PMID: 23459443 PMCID: PMC3766418 DOI: 10.1038/tpj.2013.4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 12/07/2012] [Accepted: 01/03/2013] [Indexed: 01/18/2023]
Abstract
Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the 'missing heritability' of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0%), tri/tetracyclic antidepressants (2.6%), sulfonylurea hypoglycemic agents (2.9%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 × 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.
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Affiliation(s)
- C L Avery
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D E Arking
- McKusick-Nathans Institute of Genetic Medicine and Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D K Arnett
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - J C Bis
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - E Boerwinkle
- Division of Epidemiology and Center for Human Genetics, The University of Texas Health Science Center, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, UK
| | - Y-D Ida Chen
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D Enquobahrie
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - I Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - M E Garcia
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - S R Heckbert
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - H Hochner
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - A Hofman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - W-C Hsueh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - A Isaacs
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - P Knekt
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - J A Kors
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - B P Krijthe
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - K Kristiansson
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - M Laaksonen
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - X Li
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - P W Macfarlane
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - C Newton-Cheh
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA [2] Center for Human Genetic Research, Cardiovascular Research Center, Harvard Medical School, Boston, MA, USA [3] Massachusetts General Hospital, Boston, MA, USA
| | - M S Nieminen
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - B A Oostra
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - G M Peloso
- 1] National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA [2] Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - K Porthan
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - K Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - F F Rivadeneira
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J I Rotter
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - V Salomaa
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - D S Siscovick
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - P E Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
| | - N Sotoodehnia
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - D J Stott
- Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - B H Stricker
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands [4] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - T Stürmer
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - C van Duijn
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - R G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Witteman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - E A Whitsel
- 1] Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Departments of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - B M Psaty
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA [3] Departments of Medicine, University of Washington, Seattle, WA, USA [4] Department of Health Services, University of Washington, Seattle, WA, USA [5] Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
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Wijsman L, Virgini V, de Craen A, Trompet S, Rodondi N, Bauer D, Kearney P, Gussekloo J, den Elzen W, Ford I, Welsh P, Jukema J, Westendorp R, Stott D, Mooijaart S. Subclinical thyroid dysfunction, functional capacity and cognitive performance in old age. Eur Geriatr Med 2013. [DOI: 10.1016/j.eurger.2013.07.271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Postmus I, Trompet S, De Craen AJM, Shiffman D, Devlin JJ, Ford I, Sattar N, Stott DJ, Slagboom PE, Jukema JW. No genetic determinants of differential cardiovascular event reduction by pravastatin in the PROSPER/PHASE study. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht307.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Akao H, Polisecki E, Kajinami K, Trompet S, Ford I, Jukema JW, De Craen AJM, Westendorp RGJ, Packard C, Schaefer EJ. The ABCA1 gene variant and heart disease risk reduction in the elderly during pravastatin treatment. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht307.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Mooijaart SP, Sattar N, Trompet S, Lucke J, Stott DJ, Ford I, Jukema JW, Westendorp RGJ, de Craen AJM. Circulating interleukin-6 concentration and cognitive decline in old age: the PROSPER study. J Intern Med 2013; 274:77-85. [PMID: 23414490 DOI: 10.1111/joim.12052] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Inflammation is involved in the pathogenesis of cardiovascular disease and cognitive decline. Interleukin-6 (IL-6) has a role in cardiovascular disease, but the association of IL-6 concentration and the functional IL-6 -174 polymorphism with cognitive decline has not been demonstrated unequivocally. The objective of this study was to investigate the associations between both high concentration of IL-6 and the -174 promoter polymorphism, and increased cognitive decline in old age. METHODS Over 5000 participants of the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER) with a mean age of 75 years and a history of cardiovascular disease or its risk factors were included in this study. We determined baseline concentrations of IL-6 and genotype of the IL-6 -174 polymorphism, of which the C allele was previously shown to be associated with higher circulating concentrations of IL-6. A cognitive test battery was administered at baseline and repeatedly during follow-up (mean 39 months). RESULTS In the cross-sectional analysis of 5653 participants, higher IL-6 concentration was associated with worse executive cognitive function (P < 0.001), independent of cardiovascular disease status and risk factors. No association was found between IL-6 concentration and memory function (P > 0.14). In the prospective analysis, higher IL-6 concentration was associated with an increased rate of cognitive decline in both executive function (P = 0.002) and memory function (P = 0.002), again independent of cardiovascular disease status and risk factors. Although not associated with IL-6 concentrations, the IL-6 -174 CC genotype was associated with worse performance on the Stroop test (P = 0.045). CONCLUSIONS Higher circulating levels of IL-6 were associated with worse cognitive function and steeper cognitive decline and provide preliminary genetic evidence for a potential causal association. The findings support the importance of the need for further investigation of the IL-6 pathway in cognitive decline.
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Affiliation(s)
- S P Mooijaart
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
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Verschuren JJW, Trompet S, Tio RA, de Winter RJ, Doevendans PAFM, Jukema JW. Ten-year mortality risk of patients undergoing elective PCI: long-term follow-up of the GENetic Determinants of Restenosis (GENDER) study : No increased mortality risk by restenosis, only by coronary artery disease itself. Neth Heart J 2013; 21:101-5. [PMID: 23250849 DOI: 10.1007/s12471-012-0370-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- J J W Verschuren
- Department of Cardiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, the Netherlands
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Nanka O, Krejci E, Pesevski Z, Sedmera D, Smart N, Rossdeutsch A, Dube KN, Riegler J, Price AN, Taylor A, Muthurangu V, Turner M, Lythgoe MF, Riley PR, Kryvorot S, Vladimirskaya T, Shved I, Schwarzl M, Seiler S, Huber S, Steendijk P, Maechler H, Truschnig-Wilders M, Pieske B, Post H, Caprio C, Baldini A, Chiavacci E, Dolfi L, Verduci L, Meghini F, Cremisi F, Pitto L, Kuan TC, Chen MC, Yang TH, Wu WT, Lin CS, Rai H, Kumar S, Sharma AK, Mastana S, Kapoor A, Pandey CM, Agrawal S, Sinha N, Orlowska-Baranowska EH, Placha G, Gora J, Baranowski R, Abramczuk E, Hryniewiecki T, Gaciong Z, Verschuren JJW, Wessels JAM, Trompet S, Stott DJ, Sattar N, Buckley B, Guchelaar HJ, Jukema JW, Gharanei M, Hussain A, Mee CJ, Maddock HL, Wijnen WJ, Van Den Oever S, Van Der Made I, Hiller M, Tijsen AJ, Pinto YM, Creemers EE, Nikulina SUY, Chernova A, Petry A, Rzymski T, Kracun D, Riess F, Pike L, Harris AL, Gorlach A, Katare R, Oikawa A, Riu F, Beltrami AP, Cesseli D, Emanueli C, Madeddu P, Zaglia T, Milan G, Franzoso M, Pesce P, Sarais C, Sandri M, Mongillo M, Butler TJ, Seymour AML, Ashford D, Jaffre F, Bussen M, Ferrara N, Koch WJ, Leosco D, Akhmedov A, Klingenberg R, Brokopp C, Hof D, Zoller S, Corti R, Gay S, Flohrschutz I, Von Eckardstein A, Hoerstrup SP, Luescher TF, Heijman J, Zaza A, Johnson DM, Rudy Y, Peeters RLM, Volders PGA, Westra RL, Martin GR, Morais CAS, Oliveira SHV, Brandao FC, Gomes IF, Lima LM, Fujita S, Okamoto R, Taniguchi M, Konishi K, Goto I, Engelhardt S, Sugimoto K, Nakamura M, Shiraki K, Buechler C, Ito M, Kararigas G, Nguyen BT, Jarry H, Regitz-Zagrosek V, Van Bilsen M, Daniels A, Munts C, Janssen BJA, Van Der Vusse GJ, Van Nieuwenhoven FA, Montalvo C, Villar AV, Merino D, Garcia R, Llano M, Ares M, Hurle MA, Nistal JF, Dembinska-Kiec A, Beata Kiec-Wilk BKW, Anna Polus AP, Urszula Czech UC, Tatiana Konovaleva TK, Gerd Schmitz GS, Bertrand L, Balteau M, Timmermans A, Viollet B, Sakamoto K, Feron O, Horman S, Vanoverschelde JL, Beauloye C, De Meester C, Martinez E, Martin R, Miana M, Jurado R, Gomez-Hurtado N, Bartolome MV, San Roman JA, Lahera V, Nieto ML, Cachofeiro V, Rochais F, Sturny R, Mesbah K, Miquerol L, Kelly RG, Messaoudi S, Gravez B, Tarjus A, Pelloux V, Samuel JL, Delcayre C, Launay JM, Clement K, Farman N, Jaisser F, Hadyanto L, Castellani C, Vescovo G, Ravara B, Tavano R, Pozzobon M, De Coppi P, Papini E, Vettor R, Thiene G, Angelini A, Meloni M, Caporali A, Cesselli D, Fortunato O, Avolio E, Madeddu P, Beltrami AP, Emanueli C, Schindler R, Simrick S, Brand T, Dube KN, Riley PR, Smart NS, Oikawa A, Katare R, Herman A, Emanueli C, Madeddu P, Roura Ferrer S, Rodriguez Bago J, Soler-Botija C, Pujal JM, Galvez-Monton C, Prat-Vidal C, Llucia-Valldeperas A, Blanco J, Bayes-Genis A, Foldes G, Maxime M, Ali NN, Schneider MD, Harding SE, Reni C, Mangialardi G, Caporali A, Meloni M, Emanueli C, Madeddu P, De Pauw A, Sekkali B, Friart A, Ding H, Graffeuil A, Catalucci D, Balligand JL, Azibani F, Tournoux F, Schlossarek S, Polidano E, Fazal L, Merval R, Carrier L, Chatziantoniou C, Samuel JL, Delcayre C, Buyandelger B, Linke W, Zou P, Kostin S, Ku C, Felkin L, Birks E, Barton P, Sattler M, Knoell R, Schroder K, Benkhoff S, Shimokawa H, Grisk O, Brandes RP, Parepa IR, Mazilu L, Suceveanu AI, Suceveanu A, Rusali L, Cojocaru L, Matei L, Toringhibel M, Craiu E, Pires AL, Pinho M, Pinho S, Sena C, Seica R, Leite-Moreira A, Zaglia T, Milan G, Franzoso M, Dabroi F, Pesce P, Schiaffino S, Sandri M, Mongillo M, Kiseleva E, Krukov N, Nikitin O, Ardatova L, Mourouzis I, Pantos C, Kokkinos AD, Cokkinos DV, Scoditti E, Massaro M, Carluccio MA, Pellegrino M, Calabriso N, Gastaldelli A, Storelli C, De Caterina R, Lindner D, Zietsch C, Schultheiss HP, Tschope C, Westermann D, Everaert BR, Nijenhuis VJ, Reith FCM, Hoymans VY, Timmermans JP, Vrints CJ, Simova I, Mateev H, Katova T, Haralanov L, Dimitrov N, Mironov N, Golitsyn SP, Sokolov SF, Yuricheva YUA, Maikov EB, Shlevkov NB, Rosenstraukh LV, Chazov EI, Radosinska J, Knezl V, Benova T, Slezak J, Urban L, Tribulova N, Virag L, Kristof A, Kohajda ZS, Szel T, Husti Z, Baczko I, Jost N, Varro A, Sarusi A, Farkas AS, Orosz SZ, Forster T, Varro A, Farkas A, Zakhrabova-Zwiauer OM, Hardziyenka M, Nieuwland R, Tan HL, Raaijmakers AJA, Bourgonje VJA, Kok GJM, Van Veen AAB, Anderson ME, Vos MA, Bierhuizen MFA, Benes J, Sebestova B, Sedmera D, Ghouri IA, Kemi OJ, Kelly A, Burton FL, Smith GL, Bourgonje VJA, Vos MA, Ozdemir S, Acsai K, Doisne N, Van Der Nagel R, Beekman HDM, Van Veen TAB, Sipido KR, Antoons G, Harmer SC, Mohal JS, Kemp D, Tinker A, Beech D, Burley DS, Cox CD, Wann KT, Baxter GF, Wilders R, Verkerk A, Fragkiadaki P, Germanakis G, Tsarouchas K, Tsitsimpikou C, Tsardi M, George D, Tsatsakis A, Rodrigues P, Barros C, Najmi AK, Khan V, Akhtar M, Pillai KK, Mujeeb M, Aqil M, Bayliss CR, Messer AE, Leung MC, Ward D, Van Der Velden J, Poggesi C, Redwood CS, Marston S, Vite A, Gandjbakhch E, Gary F, Fressart V, Leprince P, Fontaine G, Komajda M, Charron P, Villard E, Falcao-Pires I, Gavina C, Hamdani N, Van Der Velden J, Stienen GJM, Niessens HWM, Leite-Moreira AF, Paulus WJ, Messer AE, Marston S, Memo M, Leung MC, Bayliss CR, Memo M, Messer AE, Marston SB, Vafiadaki E, Qian J, Arvanitis DA, Sanoudou D, Kranias EG, Elmstedt N, Lind B, Ferm-Widlund K, Westgren M, Brodin LA, Mansfield C, West T, Ferenczi M, Wijnker PJM, Foster DB, Coulter A, Frazier A, Murphy AM, Stienen GJM, Van Der Velden J, Shah M, Sikkel MB, Desplantez T, Collins TP, O' Gara P, Harding SE, Lyon AR, Macleod KT, Ottesen AH, Louch WE, Carlson C, Landsverk OJB, Stridsberg M, Sjaastad I, Oie E, Omland T, Christensen G, Rosjo H, Cartledge J, Clark LA, Ibrahim M, Siedlecka U, Navaratnarajah M, Yacoub MH, Camelliti P, Terracciano CM, Chester A, Gonzalez-Tendero A, Torre I, Garcia-Garcia F, Dopazo J, Gratacos E, Taylor D, Bhandari S, Seymour AM, Fliegner D, Jost J, Bugger H, Ventura-Clapier R, Regitz-Zagrosek V, Carpi A, Campesan M, Canton M, Menabo R, Pelicci PG, Giorgio M, Di Lisa F, Hancock M, Venturini A, Al-Shanti N, Stewart C, Ascione R, Angelini G, Suleiman MS, Kravchuk E, Grineva E, Galagudza M, Kostareva A, Bairamov A, Krychtiuk KA, Watzke L, Kaun C, Demyanets S, Pisoni J, Kastl SP, Huber K, Maurer G, Wojta J, Speidl WS, Varga ZV, Farago N, Zvara A, Kocsis GF, Pipicz M, Csonka C, Csont T, Puskas GL, Ferdinandy P, Klevstigova M, Silhavy J, Manakov D, Papousek F, Novotny J, Pravenec M, Kolar F, Novakova O, Novak F, Neckar J, Barallobre-Barreiro J, Didangelos A, Yin X, Fernandez-Caggiano M, Drozdov I, Willeit P, Domenech N, Mayr M, Lemoine S, Allouche S, Coulbault L, Galera P, Gerard JL, Hanouz JL, Suveren E, Whiteman M, Baxter GF, Studneva IM, Pisarenko O, Shulzhenko V, Serebryakova L, Tskitishvili O, Timoshin A, Fauconnier J, Meli AC, Thireau J, Roberge S, Lompre AM, Jacotot E, Marks AM, Lacampagne A, Dietel B, Altendorf R, Daniel WG, Kollmar R, Garlichs CD, Verduci L, Parente V, Balasso S, Pompilio G, Colombo G, Milano G, Squadroni L, Cotelli F, Pozzoli O, Capogrossi MC, Ajiro Y, Saegusa N, Iwade K, Giles WR, Stafforini DM, Spitzer KW, Sirohi R, Candilio L, Babu G, Roberts N, Lawrence D, Sheikh A, Kolvekar S, Yap J, Hausenloy DJ, Yellon DM, Aslam M, Rohrbach S, Schlueter KD, Piper HM, Noll T, Guenduez D, Malinova L, Ryabukho VP, Lyakin DV, Denisova TP, Montoro-Garcia S, Shantsila E, Lip GYH, Kalaska B, Sokolowska E, Kaminski K, Szczubialka K, Kramkowski K, Mogielnicki A, Nowakowska M, Buczko W, Stancheva N, Mekenyan E, Gospodinov K, Tisheva S, Darago A, Rutkai I, Kalasz J, Czikora A, Orosz P, Bjornson HD, Edes I, Papp Z, Toth A, Riches K, Warburton P, O'regan DJ, Ball SG, Turner NA, Wood IC, Porter KE, Kogaki S, Ishida H, Nawa N, Takahashi K, Baden H, Ichimori H, Uchikawa T, Mihara S, Miura K, Ozono K, Lugano R, Padro T, Garcia-Arguinzonis M, Badimon L, Yin X, Ferraro F, Viner R, Ho J, Cutler D, Mayr M, Matchkov V, Aalkjaer C, Mangialardi G, Katare R, Oikawa A, Madeddu P, Krijnen PAJ, Hahn NE, Kholova I, Sipkens JA, Van Alphen FP, Simsek S, Schalkwijk CG, Van Buul JD, Van Hinsbergh VWM, Niessen HWM, Simova I, Katova T, Haralanov L, Caro CG, Seneviratne A, Monaco C, Hou D, Singh J, Gilson P, Burke MG, Heraty KB, Krams R, Coppola G, Albrecht K, Schgoer W, Wiedemann D, Bonaros N, Steger C, Theurl M, Stanzl U, Kirchmair R, Amadesi S, Fortunato O, Reni C, Katare R, Meloni M, Ascione R, Spinetti G, Cangiano E, Valgimigli M, Madeddu P, Caporali A, Meloni M, Miller AM, Cardinali A, Vierlinger K, Fortunato O, Spinetti G, Madeddu P, Emanueli C, Pagano G, Liccardo D, Zincarelli C, Femminella GD, Lymperopoulos A, De Lucia C, Koch WJ, Leosco D, Rengo G, Hinkel R, Husada W, Trenkwalder T, Di Q, Lee S, Petersen B, Bock-Marquette I, Niemann H, Di Maio M, Kupatt C, Nourian M, Yassin Z, Kelishadi R, Nourian M, Kelishadi R, Yassin Z, Memarian SH, Heidari A, Leuner A, Poitz DM, Brunssen C, Ravens U, Strasser RH, Morawietz H, Vogt F, Grahl A, Flege C, Marx N, Borinski M, De Geest B, Jacobs F, Muthuramu I, Gordts SC, Van Craeyveld E, Herijgers P, Weinert S, Poitz DM, Medunjanin S, Herold J, Schmeisser A, Strasser RH, Braun-Dullaeus RC, Wagner AH, Moeller K, Adolph O, Schwarz M, Schwale C, Bruehl C, Nobiling R, Wieland T, Schneider SW, Hecker M, Cross A, Strom A, Cole J, Goddard M, Hultgardh-Nilsson A, Nilsson J, Mauri C, Monaco C, Mitkovskaya NP, Kurak TA, Oganova EG, Shkrebneva EI, Kot ZHN, Statkevich TV, Molica F, Burger F, Matter CM, Thomas A, Staub C, Zimmer A, Cravatt B, Pacher P, Steffens S, Blanco R, Sarmiento R, Parisi C, Fandino S, Blanco F, Gigena G, Szarfer J, Rodriguez A, Garcia Escudero A, Riccitelli MA, Wantha S, Simsekyilmaz S, Megens RT, Van Zandvoort MA, Liehn E, Zernecke A, Klee D, Weber C, Soehnlein O, Lima LM, Carvalho MG, Gomes KB, Santos IR, Sousa MO, Morais CAS, Oliveira SHV, Gomes IF, Brandao FC, Lamego MRA, Lima LM, Fornai L, Angelini A, Kiss A, Giskes F, Eijkel G, Fedrigo M, Valente ML, Thiene G, Heeren RMA, Grdinic A, Vojvodic D, Djukanovic N, Grdinic AG, Obradovic S, Majstorovic I, Rusovic S, Vucinic Z, Tavciovski D, Ostojic M, Lin CS, Kuan TC, Lai SC, Chen MY, Wu HT, Gouweleeuw L, Oberdorf-Maass SU, De Boer RA, Van Gilst WH, Maass AH, Van Gelder IC, Azibani F, Benard L, Schlossarek S, Merval R, Tournoux F, Launay JM, Carrier L, Chatziantoniou C, Samuel JL, Delcayre C, Li C, Warren D, Shanahan CM, Zhang QP, Bye A, Vettukattil R, Aspenes ST, Giskeodegaard G, Gribbestad IS, Wisloff U, Bathen TF, Cubedo J, Padro T, Alonso R, Mata P, Badimon L, Ivic I, Vamos Z, Cseplo P, Kosa D, Torok O, Hamar J, Koller A, Norita K, De Noronha SV, Sheppard MN, Torre I, Amat-Roldan I, Iruretagoiena I, Psilodimitrakopoulos S, Gonzalez-Tendero A, Crispi F, Artigas D, Loza-Alvarez P, Gratacos E, Harrison JC, Smart SD, Besely EH, Kelly JR, Yao Y, Sammut IA, Hoepfner M, Kuzyniak W, Sekhosana E, Hoffmann B, Litwinski C, Pries A, Ermilov E, Fontoura D, Lourenco AP, Vasques-Novoa F, Pinto JP, Roncon-Albuquerque R, Leite-Moreira AF, Oyeyipo IP, Olatunji LA, Usman TO, Olatunji VA, Bacova B, Radosinska J, Viczenczova C, Knezl V, Dosenko V, Benova T, Goncalvesova E, Vanrooyen J, Tribulova N, Maulik SK, Seth S, Dinda AK, Jaiswal A, Mearini G, Khajetoorians D, Kraemer E, Gedicke-Hornung C, Precigout G, Eschenhagen T, Voit T, Garcia L, Lorain S, Carrier L, Mendes-Ferreira P, Maia-Rocha C, Adao R, Lourenco AP, Cerqueira RJ, Mendes MJ, Castro-Chaves P, De Keulenaer GW, Leite-Moreira AF, Bras-Silva C, Ruiter G, Wong YY, Lubberink M, Knaapen P, Raijmakers P, Lammertsma AA, Marcus JT, Westerhof N, Van Der Laarse WJ, Vonk-Noordegraaf A, Poitz DM, Steinbronn N, Koch E, Steiner G, Strasser RH, Berezin A, Lisovaya OA, Soldatova AM, Kuznetcov VA, Yenina TN, Rychkov AYU, Shebeko PV, Altara R, Hessel MHM, Hermans JJR, Janssen BJA, Blankesteijn WM, Soldatova AM, Kuznetcov VA, Yenina TN, Rychkov AYU, Shebeko PV, Berezin A, Berezina TA, Seden V, Bonanad C, Nunez J, Navarro D, Chilet MF, Sanchis F, Bodi V, Minana G, Chaustre F, Forteza MJ, Llacer A, Femminella GD, Rengo G, Galasso G, Zincarelli C, Liccardo D, Pagano G, De Lucia C. Poster session 3. Cardiovasc Res 2012. [DOI: 10.1093/cvr/cvr336] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Trompet S, Jukema JW. Will the interplay between genetic markers for risk factors for a disease and the disease itself bring genetics closer to clinical practice? Great expectations. Eur Heart J 2012; 33:290-1. [DOI: 10.1093/eurheartj/ehr256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Talens RP, Jukema JW, Trompet S, Kremer D, Westendorp RGJ, Lumey LH, Sattar N, Putter H, Slagboom PE, Heijmans BT. Hypermethylation at loci sensitive to the prenatal environment is associated with increased incidence of myocardial infarction. Int J Epidemiol 2011; 41:106-15. [PMID: 22101166 DOI: 10.1093/ije/dyr153] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Human epidemiological studies suggest that small size at birth and food deprivation during gestation confer an excess risk of coronary heart diseases (CHD) in adulthood, frequently in a sex-specific manner. Prior epigenetic studies indicate that such prenatal conditions are marked by persistent and sometimes sex-specific changes in DNA methylation. Here, we have investigated the association between DNA methylation and myocardial infarction (MI) at six loci sensitive to prenatal nutrition, anticipating potential sex-specificity. Method Within the placebo group of the PROSPER trial on pravastatin and the risk of CHD, we compared all individuals who were event free at baseline and developed MI during 3 years' follow-up (n = 122) with a similar-sized control group. Methylation at IL10, LEP, ABCA1, IGF2, INS and GNASAS was measured in DNA extracted from leucocytes using mass spectrometry. RESULTS DNA methylation at GNASAS was modestly higher in MI cases compared with controls (P = 0.030). A significant sex interaction was observed for INS (P = 0.014) and GNASAS (P = 0.031). Higher DNA methylation at these loci was associated with MI among women (INS: +2.5%, P = 0.002; GNASAS: +4.2%, P = 0.001). Hypermethylation at one locus and at both loci was associated with odds ratios (ORs) of 2.8 and 8.6, respectively (P(trend) = 3.0 × 10(-4)). No association was observed among men. CONCLUSIONS The risk of MI in women is associated with DNA methylation marks at specific loci previously shown to be sensitive to prenatal conditions. This observation may reflect a developmental component of MI.
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Affiliation(s)
- Rudolf P Talens
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Verschuren JJW, Sampietro ML, Pons D, Trompet S, Ewing MM, Quax PHA, de Knijff P, Zwinderman AH, de Winter RJ, Tio RA, de Maat MP, Doevendans PAFM, Jukema JW. Matrix metalloproteinases 2 and 3 gene polymorphisms and the risk of target vessel revascularization after percutaneous coronary intervention: Is there still room for determining genetic variation of MMPs for assessment of an increased risk of restenosis? Dis Markers 2011; 29:265-73. [PMID: 21206012 PMCID: PMC3835384 DOI: 10.3233/dma-2010-0757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Mixed results have been reported of matrix metalloproteinases (MMP) and their association with restenosis after percutaneous coronary intervention (PCI). The current study examines whether multiple single nucleotide polymorphisms (SNPs), covering the full genomic region of MMP2 and MMP3, were associated with restenosis in the GENDER study population. METHODS AND RESULTS The GENetic DEterminants of Restenosis (GENDER) study enrolled 3104 consecutive patients after successful PCI. The primary endpoint was clinical restenosis, defined as target vessel revascularization (TVR), occurring in 9.8% of the patients. From the Hapmap database, 19 polymorphisms of MMP2 and 11 of MMP3 were selected. Furthermore, in a subpopulation, a genome-wide association analysis (GWA) was performed. No significant association was found with any of the investigated SNPs, including the previously reported 5A/6A polymorphism (rs3025058), with regard to TVR using single SNP analysis or haplotype analysis. CONCLUSION We found no significant association of MMP2 or MMP3 with TVR with this SNP-broad gene approach. Although we did not test all the known polymorphisms of these genes, using tagging analyses we examined those SNPs covering all known haplotypes of MMP2 and MMP3 to conclude that these genes do not correlate with a genetic risk of coronary restenosis after successful PCI.
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Affiliation(s)
- J J W Verschuren
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
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Pons D, Trompet S, de Craen AJM, Thijssen PE, Quax PHA, de Vries MR, Wierda RJ, van den Elsen PJ, Monraats PS, Ewing MM, Heijmans BT, Slagboom PE, Zwinderman AH, Doevendans PAFM, Tio RA, de Winter RJ, de Maat MPM, Iakoubova OA, Sattar N, Shepherd J, Westendorp RGJ, Jukema JW. Genetic variation in PCAF, a key mediator in epigenetics, is associated with reduced vascular morbidity and mortality: evidence for a new concept from three independent prospective studies. Heart 2010; 97:143-50. [DOI: 10.1136/hrt.2010.199927] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Trompet S, de Craen AJM, Slagboom P, Shepherd J, Blauw GJ, Murphy MB, Bollen ELEM, Buckley BM, Ford I, Gaw A, Macfarlane PW, Packard CJ, Stott DJ, Westendorp RGJ, Jukema JW. Lymphotoxin-alpha C804A polymorphism is a risk factor for stroke. The PROSPER study. Exp Gerontol 2008; 43:801-5. [PMID: 18504081 DOI: 10.1016/j.exger.2008.04.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2008] [Revised: 04/08/2008] [Accepted: 04/15/2008] [Indexed: 11/30/2022]
Abstract
Inflammation plays a prominent role in the development of atherosclerosis, which is the most important risk factor for vascular events. Lymphotoxin-alpha (LTA) is a pro-inflammatory cytokine and is found to be expressed in atherosclerotic lesions. We investigated the association between the C804A polymorphism within the LTA gene and coronary and cerebrovascular events in 5804 participants of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). The primary endpoint was the combined endpoint of death from coronary heart disease, non-fatal myocardial infarction, and clinical stroke. Secondary endpoints were the coronary and cerebrovascular components separately. All associations were assessed with a Cox-proportional hazards model adjusted for sex, age, pravastatin use, and country. Our overall analysis showed a significant association between the C804A polymorphism and the primary endpoint (p = 0.03). After stratification for gender, this association was found only in males. Furthermore, we found that the association between the C804A polymorphism and the primary endpoint was mainly attributable to clinical strokes (p = 0.02). The C804A polymorphism in the LTA gene associates with clinical stroke, especially in men. But further research is warranted to confirm our results.
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Affiliation(s)
- S Trompet
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands.
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Trompet S, de Craen AJM, Slagboom P, Shepherd J, Blauw GJ, Murphy MB, Bollen ELEM, Buckley BM, Ford I, Gaw A, Macfarlane PW, Packard CJ, Stott DJ, Jukema JW, Westendorp RGJ. Genetic variation in the interleukin-1 beta-converting enzyme associates with cognitive function. The PROSPER study. Brain 2008; 131:1069-77. [PMID: 18304957 DOI: 10.1093/brain/awn023] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Inflammation is thought to play an important role in the development of cognitive decline and dementia in old age. The interleukin-1 signalling pathway may play a prominent role in this process. The gene encoding for interleukin-1 beta-converting enzyme (ICE) is likely to influence IL-1 beta levels. Inhibition of ICE decreases the age-related increase in IL-1 beta levels and may therefore improve memory function. We assessed whether genetic variation in the ICE gene associates with cognitive function in an elderly population. All 5804 participants of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER) were genotyped for the 10643GC, 9323GA, 8996AG and 5352GA polymorphisms in the ICE gene. Cross-sectional associations between the polymorphisms and cognitive function were assessed with linear regression. Longitudinal associations between polymorphisms, haplotypes and cognitive function were assessed with linear mixed models. All associations were adjusted for sex, age, education, country, treatment with pravastatin and version of test where appropriate. Subjects carrying the variants 10643C and 5352A allele had significantly lower IL-1 beta production levels (P < 0.01). Furthermore, we demonstrated that homozygous carriers of the 10643C and the 5352A allele performed better on all executive function tests at baseline and during follow-up compared to homozygous carriers of the wild-type allele (all P < 0.02). The haplotype with two variants present (10643C and 5352A) was associated with better executive function (all P < 0.02) compared to the reference haplotype without variants. For memory function the same trend was observed, although not significant. Genetic variation in the ICE gene is associated with better performance on cognitive function and lower IL-1 beta production levels. This suggests that low levels of IL-1 beta are protective for memory and learning deficits. Inhibition of ICE may therefore be an important therapeutic target for maintaining cognitive function in old age.
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Affiliation(s)
- S Trompet
- Department of Gerontology and Geriatrics, C-2-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
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Trompet S, Pons D, DE Craen AJM, Slagboom P, Shepherd J, Blauw GJ, Murphy MB, Cobbe SM, Bollen ELEM, Buckley BM, Ford I, Hyland M, Gaw A, Macfarlane PW, Packard CJ, Norrie J, Perry IJ, Stott DJ, Sweeney BJ, Twomey C, Westendorp RGJ, Jukema JW. Genetic Variation in the Interleukin-10 Gene Promoter and Risk of Coronary and Cerebrovascular Events: The PROSPER Study. Ann N Y Acad Sci 2007; 1100:189-98. [PMID: 17460178 DOI: 10.1196/annals.1395.018] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Proinflammatory cytokines, like interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-alpha), are implicated in the development of atherosclerosis. The role of anti-inflammatory cytokines, like IL-10, is largely unknown. We investigated the association of four single nucleotide polymorphisms (SNPs) in the promoter region of the IL-10 gene (4259AG, -1082GA, -592CA, and -2849GA), with coronary and cerebrovascular disease in participants of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER) trial. All associations were assessed with Cox proportional hazards models adjusted for sex, age, pravastatin use, and country. Haplotype analysis of the four SNPs showed a significant association between haplotype 4 (containing the -592A variant allele) and risk of coronary events (P = 0.019). Moreover, analysis of separate SNPs found a significant association between -2849AA carriers with incident stroke (HR (95%CI) 1.50 (1.04-2.17), P value = 0.02). Our study suggests that not only proinflammatory processes contribute to atherosclerosis, but that also anti-inflammatory cytokines may play an important role.
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Affiliation(s)
- S Trompet
- Department of Gerontology and Geriatrics, C-2-R, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
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