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Guigas B, de Leeuw van Weenen JE, van Leeuwen N, Simonis-Bik AM, van Haeften TW, Nijpels G, Houwing-Duistermaat JJ, Beekman M, Deelen J, Havekes LM, Penninx BWJH, Vogelzangs N, van 't Riet E, Dehghan A, Hofman A, Witteman JC, Uitterlinden AG, Grarup N, Jørgensen T, Witte DR, Lauritzen T, Hansen T, Pedersen O, Hottenga J, Romijn JA, Diamant M, Kramer MHH, Heine RJ, Willemsen G, Dekker JM, Eekhoff EM, Pijl H, de Geus EJ, Slagboom PE, 't Hart LM. Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and type 2 diabetes susceptibility. Diabet Med 2014; 31:1001-8. [PMID: 24724616 DOI: 10.1111/dme.12464] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Revised: 01/13/2014] [Accepted: 04/08/2014] [Indexed: 12/21/2022]
Abstract
AIMS Modulation of dopamine receptor D2 (DRD2) activity affects insulin secretion in both rodents and isolated pancreatic β-cells. We hypothesized that single nucleotide polymorphisms in the DRD2/ANKK1 locus may affect susceptibility to type 2 diabetes in humans. METHODS Four potentially functional variants in the coding region of the DRD2/ANKK1 locus (rs1079597, rs6275, rs6277, rs1800497) were genotyped and analysed for type 2 diabetes susceptibility in up to 25 000 people (8148 with type 2 diabetes and 17687 control subjects) from two large independent Dutch cohorts and one Danish cohort. In addition, 340 Dutch subjects underwent a 2-h hyperglycaemic clamp to investigate insulin secretion. Since sexual dimorphic associations related to DRD2 polymorphisms have been previously reported, we also performed a gender-stratified analysis. RESULTS rs1800497 at the DRD2/ANKK1 locus was associated with a significantly increased risk for type 2 diabetes in women (odds ratio 1.14 (1.06-1.23); P = 4.1*10⁴) but not in men (odds ratio 1.00 (95% CI 0.93-1.07); P = 0.92) or the combined group. Although rs1800497 was not associated with insulin secretion, we did find another single nucleotide polymorphism in this locus, rs6275, to be associated with increased first-phase glucose-stimulated insulin secretion in women (P = 5.5*10⁴) but again not in men (P = 0.34). CONCLUSION The present data identify DRD2/ANKK1 as a potential sex-specific type 2 diabetes susceptibility gene.
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Affiliation(s)
- B Guigas
- Department of Molecular Cell Biology, Leiden University Medical Centre, Leiden, The Netherlands; Department of Parasitology, Leiden University Medical Centre, Leiden, The Netherlands
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2
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Ganesh S, Chasman D, Larson M, Guo X, Verwoert G, Bis J, Gu X, Smith A, Yang ML, Zhang Y, Ehret G, Rose L, Hwang SJ, Papanicolau G, Sijbrands E, Rice K, Eiriksdottir G, Pihur V, Ridker P, Vasan R, Newton-Cheh C, Raffel LJ, Amin N, Rotter JI, Liu K, Launer LJ, Xu M, Caulfield M, Morrison AC, Johnson AD, Vaidya D, Dehghan A, Li G, Bouchard C, Harris TB, Zhang H, Boerwinkle E, Siscovick DS, Gao W, Uitterlinden AG, Rivadeneira F, Hofman A, Willer CJ, Franco OH, Huo Y, Witteman JC, Munroe PB, Gudnason V, Palmas W, van Duijn C, Fornage M, Levy D, Psaty BM, Chakravarti A, Newton-Cheh C, Johnson T, Gateva V, Tobin M, Bochud M, Coin L, Najjar S, Zhao J, Heath S, Eyheramendy S, Papadakis K, Voight B, Scott L, Zhang F, Farrall M, Tanaka T, Wallace C, Chambers J, Khaw KT, Nilsson P, van der Harst P, Polidoro S, Grobbee D, Onland-Moret N, Bots M, Wain L, Elliott K, Teumer A, Luan J, Lucas G, Kuusisto J, Burton P, Hadley D, McArdle W, Brown M, Dominiczak A, Newhouse S, Samani N, Webster J, Zeggini E, Beckmann J, Bergmann S, Lim N, Song K, Vollenweider P, Waeber G, Waterworth D, Yuan X, Groop L, Orho-Melander M, Allione A, Di Gregorio A, Guarrera S, Panico S, Ricceri F, Romanazzi V, Sacerdote C, Vineis P, Barroso I, Sandhu M, Luben R, Crawford G, Jousilahti P, Perola M, Boehnke M, Bonnycastle L, Collins F, Jackson A, Mohlke K, Stringham H, Valle T, Willer C, Bergman R, Morken M, Döring A, Gieger C, Illig T, Meitinger T, Org E, Pfeufer A, Wichmann H, Kathiresan S, Marrugat J, O’Donnell C, Schwartz S, Siscovick D, Subirana I, Freimer N, Hartikainen AL, McCarthy M, O’Reilly P, Peltonen L, Pouta A, de Jong P, Snieder H, van Gilst W, Clarke R, Goel A, Hamsten A, Peden J, Seedorf U, Syvänen AC, Tognoni G, Lakatta E, Sanna S, Scheet P, Schlessinger D, Scuteri A, Dörr M, Ernst F, Felix S, Homuth G, Lorbeer R, Reffelmann T, Rettig R, Völker U, Galan P, Gut I, Hercberg S, Lathrop G, Zeleneka D, Deloukas P, Soranzo N, Williams F, Zhai G, Salomaa V, Laakso M, Elosua R, Forouhi N, Völzke H, Uiterwaal C, van der Schouw Y, Numans M, Matullo G, Navis G, Berglund G, Bingham S, Kooner J, Paterson A, Connell J, Bandinelli S, Ferrucci L, Watkins H, Spector T, Tuomilehto J, Altshuler D, Strachan D, Laan M, Meneton P, Wareham N, Uda M, Jarvelin MR, Mooser V, Melander O, Loos R, Elliott P, Abecasis G, Caulfield M, Munroe P. Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. Am J Hum Genet 2014; 95:49-65. [PMID: 24975945 DOI: 10.1016/j.ajhg.2014.06.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 06/03/2014] [Indexed: 01/11/2023] Open
Abstract
Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.
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Selwaness M, van den Bouwhuijsen Q, Mattace-Raso FU, Verwoert GC, Hofman A, Franco OH, Witteman JC, van der Lugt A, Vernooij MW, Wentzel JJ. Arterial Stiffness Is Associated With Carotid Intraplaque Hemorrhage in the General Population. Arterioscler Thromb Vasc Biol 2014; 34:927-32. [DOI: 10.1161/atvbaha.113.302603] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective—
The relation between arterial stiffness and atherosclerosis, and specifically the influence of arterial stiffness on plaque composition, is largely unknown. In a population-based study, we investigated the association between arterial stiffness and the presence and composition of carotid atherosclerotic plaques.
Approach and Results—
Arterial stiffness was measured in 6527 participants (67.0±8.6 years) using aortic pulse wave velocity (PWV). Presence of carotid atherosclerotic plaques was assessed with ultrasound. Subsequently, 1059 subjects with carotid plaques (>2.5 mm) underwent MRI to assess plaque composition (presence of intraplaque hemorrhage, lipid, and calcification). Generalized estimation equation analyses adjusted for age, sex, mean arterial pressure, heart rate, carotid wall thickening, pulse pressure, and traditional cardiovascular risk factors were used to study the association between PWV and the presence and composition of carotid atherosclerotic plaques. In multivariable analysis, higher PWV was independently related to higher prevalence of carotid atherosclerotic plaque on ultrasound (odds ratio for highest quartile of PWV compared with lowest quartile, 1.24 [95% confidence interval, 1.02–1.51]). Furthermore, higher PWV was associated with intraplaque hemorrhage (age- and sex-adjusted odds ratio per SD increase in PWV, 1.20 [1.04–1.38] and calcification, 1.18 [1.03–1.35]), but not with lipid. After adjustment for cardiovascular risk factors, PWV remained significantly associated with intraplaque hemorrhage (1.20 [1.01–1.43]). Additional adjustment for pulse pressure did not materially affect the effect estimate (1.19 [1.00–1.42]).
Conclusions—
Higher PWV is associated with presence and composition of carotid atherosclerotic plaques, in particular with intraplaque hemorrhage. These findings provide further clues for understanding the development of vulnerable atherosclerotic plaque.
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Affiliation(s)
- Mariana Selwaness
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Quirijn van den Bouwhuijsen
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Francesco U.S. Mattace-Raso
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Germaine C. Verwoert
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Albert Hofman
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Oscar H. Franco
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Jacqueline C.M. Witteman
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Aad van der Lugt
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Meike W. Vernooij
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
| | - Jolanda J. Wentzel
- From the Departments of Epidemiology (M.S., G.C.V., A.H., O.H.F., J.C.M.W., M.W.V.), Radiology (Q.v.d.B., A.v.d.L., M.W.V.), Internal Medicine (F.U.S.M.-R.), and Cardiology, Biomedical Engineering (J.J.W.), Erasmus MC, Rotterdam, The Netherlands
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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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5
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Dehghan A, Leening MJ, Solouki AM, Boersma E, Deckers JW, van Herpen G, Heeringa J, Hofman A, Kors JA, Franco OH, Ikram MA, Witteman JC. Comparison of prognosis in unrecognized versus recognized myocardial infarction in men versus women >55 years of age (from the Rotterdam Study). Am J Cardiol 2014; 113:1-6. [PMID: 24216125 DOI: 10.1016/j.amjcard.2013.09.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2013] [Revised: 09/03/2013] [Accepted: 09/03/2013] [Indexed: 11/26/2022]
Abstract
Unrecognized myocardial infarction (MI) is frequent in the general population. Its prognosis is reported to be at least as unpropitious as that of recognized MI, particularly in men. However, contemporary data with long follow-up are lacking. The aims of this study were to investigate the long-term prognosis of unrecognized MI with respect to all-cause and cause-specific mortality and to investigate possible differences in prognosis by gender. In the population-based Rotterdam Study (2,672 men and 3,862 women), the presence of unrecognized MI and recognized MI was determined at baseline (1990 to 1993). The cohort was followed for nearly 2 decades for all-cause and cause-specific mortality. During 82,268 patient-years of follow-up (median 15.6 years) 3,412 patients died (1,300 from cardiovascular causes). Men and women with recognized and unrecognized MIs had increased total mortality rates compared with those without MIs. Hazard ratios (HRs) for men and women were 1.57 (95% confidence interval [CI] 1.36 to 1.81) and 1.89 (95% CI 1.56 to 2.30) for recognized MI and 1.72 (95% CI 1.43 to 2.07) and 1.36 (95% CI 1.14 to 1.61) for unrecognized MI. Unrecognized MI was associated with increased risks for cardiovascular mortality (men: HR 2.19, 95% CI 1.66 to 2.91; women: HR 1.36, 95% CI 1.03 to 1.81) and noncardiovascular mortality (men: HR 1.47, 95% CI 1.14 to 1.89; women: HR 1.39, 95% CI 1.10 to 1.75). In conclusion, the long-term prognosis of patients with unrecognized MIs is worse compared with those without MIs and applies not only to cardiovascular mortality but also to noncardiovascular mortality. In men, the prognosis is as unfavorable as that of patients with recognized MIs.
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6
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Fowkes FGR, Murray GD, Butcher I, Folsom AR, Hirsch AT, Couper DJ, Debacker G, Kornitzer M, Newman AB, Sutton-Tyrrell KC, Cushman M, Lee AJ, Price JF, D'Agostino RB, Murabito JM, Norman P, Masaki KH, Bouter LM, Heine RJ, Stehouwer CDA, McDermott MM, Stoffers HEJH, Knottnerus JA, Ogren M, Hedblad B, Koenig W, Meisinger C, Cauley JA, Franco O, Hunink MGM, Hofman A, Witteman JC, Criqui MH, Langer RD, Hiatt WR, Hamman RF. Development and validation of an ankle brachial index risk model for the prediction of cardiovascular events. Eur J Prev Cardiol 2013; 21:310-20. [PMID: 24367001 DOI: 10.1177/2047487313516564] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND The ankle brachial index (ABI) is related to risk of cardiovascular events independent of the Framingham risk score (FRS). The aim of this study was to develop and evaluate a risk model for cardiovascular events incorporating the ABI and FRS. DESIGN An analysis of participant data from 18 cohorts in which 24,375 men and 20,377 women free of coronary heart disease had ABI measured and were followed up for events. METHODS Subjects were divided into a development and internal validation dataset and an external validation dataset. Two models, comprising FRS and FRS + ABI, were fitted for the primary outcome of major coronary events. RESULTS In predicting events in the external validation dataset, C-index for the FRS was 0.672 (95% CI 0.599 to 0.737) in men and 0.578 (95% CI 0.492 to 0.661) in women. The FRS + ABI led to a small increase in C-index in men to 0.685 (95% CI 0.612 to 0.749) and large increase in women to 0.690 (95% CI 0.605 to 0.764) with net reclassification improvement (NRI) of 4.3% (95% CI 0.0 to 7.6%, p = 0.050) and 9.6% (95% CI 6.1 to 16.4%, p < 0.001), respectively. Restricting the FRS + ABI model to those with FRS intermediate 10-year risk of 10 to 19% resulted in higher NRI of 15.9% (95% CI 6.1 to 20.6%, p < 0.001) in men and 23.3% (95% CI 13.8 to 62.5%, p = 0.002) in women. However, incorporating ABI in an improved newly fitted risk factor model had a nonsignificant effect: NRI 2.0% (95% CI 2.3 to 4.2%, p = 0.567) in men and 1.1% (95% CI 1.9 to 4.0%, p = 0.483) in women. CONCLUSIONS An ABI risk model may improve prediction especially in individuals at intermediate risk and when performance of the base risk factor model is modest.
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Affiliation(s)
- F G R Fowkes
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
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Krijthe BP, Leening MJ, Heeringa J, Kors JA, Hofman A, Franco OH, Witteman JC, Stricker BH. Unrecognized myocardial infarction and risk of atrial fibrillation: The Rotterdam Study. Int J Cardiol 2013; 168:1453-7. [DOI: 10.1016/j.ijcard.2012.12.057] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2012] [Revised: 11/16/2012] [Accepted: 12/24/2012] [Indexed: 11/15/2022]
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den Ruijter HM, Peters SAE, Groenewegen KA, Anderson TJ, Britton AR, Dekker JM, Engström G, Eijkemans MJ, Evans GW, de Graaf J, Grobbee DE, Hedblad B, Hofman A, Holewijn S, Ikeda A, Kavousi M, Kitagawa K, Kitamura A, Koffijberg H, Ikram MA, Lonn EM, Lorenz MW, Mathiesen EB, Nijpels G, Okazaki S, O'Leary DH, Polak JF, Price JF, Robertson C, Rembold CM, Rosvall M, Rundek T, Salonen JT, Sitzer M, Stehouwer CDA, Witteman JC, Moons KG, Bots ML. Common carotid intima-media thickness does not add to Framingham risk score in individuals with diabetes mellitus: the USE-IMT initiative. Diabetologia 2013; 56:1494-502. [PMID: 23568273 PMCID: PMC4523149 DOI: 10.1007/s00125-013-2898-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Accepted: 03/08/2013] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS The aim of this work was to investigate whether measurement of the mean common carotid intima-media thickness (CIMT) improves cardiovascular risk prediction in individuals with diabetes. METHODS We performed a subanalysis among 4,220 individuals with diabetes in a large ongoing individual participant data meta-analysis involving 56,194 subjects from 17 population-based cohorts worldwide. We first refitted the risk factors of the Framingham heart risk score on the individuals without previous cardiovascular disease (baseline model) and then expanded this model with the mean common CIMT (CIMT model). The absolute 10 year risk for developing a myocardial infarction or stroke was estimated from both models. In individuals with diabetes we compared discrimination and calibration of the two models. Reclassification of individuals with diabetes was based on allocation to another cardiovascular risk category when mean common CIMT was added. RESULTS During a median follow-up of 8.7 years, 684 first-time cardiovascular events occurred among the population with diabetes. The C statistic was 0.67 for the Framingham model and 0.68 for the CIMT model. The absolute 10 year risk for developing a myocardial infarction or stroke was 16% in both models. There was no net reclassification improvement with the addition of mean common CIMT (1.7%; 95% CI -1.8, 3.8). There were no differences in the results between men and women. CONCLUSIONS/INTERPRETATION There is no improvement in risk prediction in individuals with diabetes when measurement of the mean common CIMT is added to the Framingham risk score. Therefore, this measurement is not recommended for improving individual cardiovascular risk stratification in individuals with diabetes.
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Affiliation(s)
- H M den Ruijter
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
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9
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Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, Esko T, Fall T, Ferreira T, Gentilini D, Jackson AU, Luan J, Randall JC, Vedantam S, Willer CJ, Winkler TW, Wood AR, Workalemahu T, Hu YJ, Lee SH, Liang L, Lin DY, Min JL, Neale BM, Thorleifsson G, Yang J, Albrecht E, Amin N, Bragg-Gresham JL, Cadby G, den Heijer M, Eklund N, Fischer K, Goel A, Hottenga JJ, Huffman JE, Jarick I, Johansson Å, Johnson T, Kanoni S, Kleber ME, König IR, Kristiansson K, Kutalik Z, Lamina C, Lecoeur C, Li G, Mangino M, McArdle WL, Medina-Gomez C, Müller-Nurasyid M, Ngwa JS, Nolte IM, Paternoster L, Pechlivanis S, Perola M, Peters MJ, Preuss M, Rose LM, Shi J, Shungin D, Smith AV, Strawbridge RJ, Surakka I, Teumer A, Trip MD, Tyrer J, Van Vliet-Ostaptchouk JV, Vandenput L, Waite LL, Zhao JH, Absher D, Asselbergs FW, Atalay M, Attwood AP, Balmforth AJ, Basart H, Beilby J, Bonnycastle LL, Brambilla P, Bruinenberg M, Campbell H, Chasman DI, Chines PS, Collins FS, Connell JM, Cookson W, de Faire U, de Vegt F, Dei M, Dimitriou M, Edkins S, Estrada K, Evans DM, Farrall M, Ferrario MM, Ferrières J, Franke L, Frau F, Gejman PV, Grallert H, Grönberg H, Gudnason V, Hall AS, Hall P, Hartikainen AL, Hayward C, Heard-Costa NL, Heath AC, Hebebrand J, Homuth G, Hu FB, Hunt SE, Hyppönen E, Iribarren C, Jacobs KB, Jansson JO, Jula A, Kähönen M, Kathiresan S, Kee F, Khaw KT, Kivimaki M, Koenig W, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Laitinen JH, Lakka TA, Langenberg C, Launer LJ, Lind L, Lindström J, Liu J, Liuzzi A, Lokki ML, Lorentzon M, Madden PA, Magnusson PK, Manunta P, Marek D, März W, Mateo Leach I, McKnight B, Medland SE, Mihailov E, Milani L, Montgomery GW, Mooser V, Mühleisen TW, Munroe PB, Musk AW, Narisu N, Navis G, Nicholson G, Nohr EA, Ong KK, Oostra BA, Palmer CN, Palotie A, Peden JF, Pedersen N, Peters A, Polasek O, Pouta A, Pramstaller PP, Prokopenko I, Pütter C, Radhakrishnan A, Raitakari O, Rendon A, Rivadeneira F, Rudan I, Saaristo TE, Sambrook JG, Sanders AR, Sanna S, Saramies J, Schipf S, Schreiber S, Schunkert H, Shin SY, Signorini S, Sinisalo J, Skrobek B, Soranzo N, Stančáková A, Stark K, Stephens JC, Stirrups K, Stolk RP, Stumvoll M, Swift AJ, Theodoraki EV, Thorand B, Tregouet DA, Tremoli E, Van der Klauw MM, van Meurs JB, Vermeulen SH, Viikari J, Virtamo J, Vitart V, Waeber G, Wang Z, Widén E, Wild SH, Willemsen G, Winkelmann BR, Witteman JC, Wolffenbuttel BH, Wong A, Wright AF, Zillikens MC, Amouyel P, Boehm BO, Boerwinkle E, Boomsma DI, Caulfield MJ, Chanock SJ, Cupples LA, Cusi D, Dedoussis GV, Erdmann J, Eriksson JG, Franks PW, Froguel P, Gieger C, Gyllensten U, Hamsten A, Harris TB, Hengstenberg C, Hicks AA, Hingorani A, Hinney A, Hofman A, Hovingh KG, Hveem K, Illig T, Jarvelin MR, Jöckel KH, Keinanen-Kiukaanniemi SM, Kiemeney LA, Kuh D, Laakso M, Lehtimäki T, Levinson DF, Martin NG, Metspalu A, Morris AD, Nieminen MS, Njølstad I, Ohlsson C, Oldehinkel AJ, Ouwehand WH, Palmer LJ, Penninx B, Power C, Province MA, Psaty BM, Qi L, Rauramaa R, Ridker PM, Ripatti S, Salomaa V, Samani NJ, Snieder H, Sørensen TI, Spector TD, Stefansson K, Tönjes A, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Vollenweider P, Wallaschofski H, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Abecasis GR, Assimes TL, Barroso I, Boehnke M, Borecki IB, Deloukas P, Fox CS, Frayling T, Groop LC, Haritunian T, Heid IM, Hunter D, Kaplan RC, Karpe F, Moffatt M, Mohlke KL, O’Connell JR, Pawitan Y, Schadt EE, Schlessinger D, Steinthorsdottir V, Strachan DP, Thorsteinsdottir U, van Duijn CM, Visscher PM, Di Blasio AM, Hirschhorn JN, Lindgren CM, Morris AP, Meyre D, Scherag A, McCarthy MI, Speliotes EK, North KE, Loos RJ, Ingelsson E. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet 2013; 45:501-12. [PMID: 23563607 PMCID: PMC3973018 DOI: 10.1038/ng.2606] [Citation(s) in RCA: 436] [Impact Index Per Article: 39.6] [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: 10/16/2012] [Accepted: 03/14/2013] [Indexed: 12/25/2022]
Abstract
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
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Affiliation(s)
- Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Reedik Mägi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | - Andrea Ganna
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Eleanor Wheeler
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Mary F. Feitosa
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Anne E. Justice
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Keri L. Monda
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
- Center for Observational Research, Amgen, Thousands Oaks, CA, 91320
| | | | - Felix R. Day
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Tove Fall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Teresa Ferreira
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Davide Gentilini
- Molecular Biology Department, Istituto Auxologico Italiano, Milano, Italy
| | - Anne U. Jackson
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jian’an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Joshua C. Randall
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Sailaja Vedantam
- Divisions of Genetics and Endocrinology and Center for Basic and Translational Obesity Research, Children’s Hospital, Boston, Massachusetts 02115, USA
- Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Cristen J. Willer
- Department of Internal Medicine (Cardiovascular), University of Michigan, Ann Arbor, MI 48109, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, MI 48109, USA
| | - Thomas W. Winkler
- Public Health and Gender Studies, Institute of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Andrew R. Wood
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK
| | - Tsegaselassie Workalemahu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Yi-Juan Hu
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Sang Hong Lee
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Dan-Yu Lin
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Josine L. Min
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Benjamin M. Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114
| | | | - Jian Yang
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
- Queensland Institute of Medical Research, Brisbane 4029, Australia
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Jennifer L. Bragg-Gresham
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Gemma Cadby
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada, M5G 1L7
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada, M5G 1X5
- Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Martin den Heijer
- Department of Internal Medicine, VU University Medical Centre, Amsterdam, The Netherlands
| | - Niina Eklund
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | - Anuj Goel
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Jennifer E. Huffman
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Ivonne Jarick
- Institute of Medical Biometry and Epidemiology, University of Marburg, 35037 Marburg, Germany
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Uppsala University, Sweden
- Uppsala Clinical Research Center, Uppsala university hospital, Sweden
| | - Toby Johnson
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Marcus E. Kleber
- LURIC Study nonprofit LLC, Freiburg, Germany
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
| | - Inke R. König
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
| | - Kati Kristiansson
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Cecile Lecoeur
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
| | - Guo Li
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Wendy L. McArdle
- School of Social and Community Medicine, University of Bristol, UK
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology and Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Julius S. Ngwa
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Lavinia Paternoster
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Sonali Pechlivanis
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Marjolein J. Peters
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Michael Preuss
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - Dmitry Shungin
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Odontology, Umeå University, Sweden
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Rona J. Strawbridge
- Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Ida Surakka
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany
| | - Mieke D. Trip
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
- Heart Failure Research Centre, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Jonathan Tyrer
- Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Jana V. Van Vliet-Ostaptchouk
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Liesbeth Vandenput
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Lindsay L. Waite
- Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Devin Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA
| | - Folkert W. Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, The Netherlands
| | - Mustafa Atalay
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Finland
| | | | - Anthony J. Balmforth
- Division of Epidemiology, Multidisciplinary Cardiovascular Research Centre (MCRC), Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds, Leeds LS2 9JT, UK
| | - Hanneke Basart
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - John Beilby
- PathWest Laboratory of Western Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western Australia 6009, Australia
- Department of Surgery and Pathology, University of Western Australia, Nedlands, Australia, 6009
| | - Lori L. Bonnycastle
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Paolo Brambilla
- Dipartimento di Medicina Sperimentale. Università degli Studi Milano-Bicocca, Monza, Italy
| | - Marcel Bruinenberg
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Peter S. Chines
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Francis S. Collins
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - John M. Connell
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
- University of Dundee, Ninewells Hospital &Medical School, Dundee, DD1 9SY, UK
| | - William Cookson
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Femmie de Vegt
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
| | - Mariano Dei
- Istituto di Ricerca Genetica e Biomedicadel del CNR, Monserrato, 09042, Cagliari, Italy
| | - Maria Dimitriou
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Sarah Edkins
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Karol Estrada
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - David M. Evans
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Martin Farrall
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Marco M. Ferrario
- Epidemiology and Preventive Medicine Research Center, Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy
| | - Jean Ferrières
- Department of Cardiology, Toulouse University School of Medicine, Rangueil Hospital, Toulouse, France
| | - Lude Franke
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Francesca Frau
- University of Milan, Department of Health Sciences, Ospedale San Paolo, 20139 Milano, Italy
| | - Pablo V. Gejman
- University of Chicago, Chicago, Illinois 60637, USA
- Northshore University HealthSystem, Evanston, Illinois 60201, USA
| | - Harald Grallert
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Alistair S. Hall
- Division of Cardiovascular and Neuronal Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, UK
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Anna-Liisa Hartikainen
- Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Nancy L. Heard-Costa
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, 45147 Essen, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Sarah E. Hunt
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Elina Hyppönen
- Centre For Paediatric Epidemiolgy and Biostatistics/MRC Centre of Epidemiology for Child Health, University College of London Institute of Child Health, London, UK
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente Northern California, Oakland, California 94612, USA
| | - Kevin B. Jacobs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Antti Jula
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Population Studies Unit, 20720 Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland
| | - Sekar Kathiresan
- Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health (NI) Queens University, Belfast
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge CB2 2SR, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Wolfgang Koenig
- Department of Internal Medicine II – Cardiology, University of Ulm Medical Center, Ulm, Germany
| | - Aldi T. Kraja
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Kari Kuulasmaa
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland, Kuopio Campus and Kuopio University Hospital, 70210 Kuopio, Finland
| | | | - Timo A. Lakka
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Akademiska sjukhuset, 751 85 Uppsala, Sweden
| | - Jaana Lindström
- National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Antonio Liuzzi
- Department of Internal Medicine, Istituto Auxologico Italiano, Verbania, Italy
| | - Marja-Liisa Lokki
- Transplantation Laboratory, Haartman Institute, University of Helsinki, 00014, Helsinki, Finland
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Pamela A. Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Patrik K. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Paolo Manunta
- Università Vita-Salute San Raffaele, Chair of Nephrology San Raffaele Scientific Institute, OU Nephrology and Dialysis, 20132 Milan, Italy
| | - Diana Marek
- Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Winfried März
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Mannheim, Germany
| | - Irene Mateo Leach
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Barbara McKnight
- Departments of Biostatistics, University of Washington, Seattle, Washington 98195, USA
| | - Sarah E. Medland
- Queensland Institute of Medical Research, Brisbane 4029, Australia
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | | | - Vincent Mooser
- Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Thomas W. Mühleisen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Patricia B. Munroe
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Arthur W. Musk
- School of Population Health, The University of Western Australia, Nedlands WA 6009, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia, 6009
- Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
| | - Narisu Narisu
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Gerjan Navis
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen
| | - George Nicholson
- MRC Harwell, Harwell, UK
- Department of Statistics, University of Oxford, Oxford OX1 3TG, UK
| | - Ellen A. Nohr
- Department of Public Health, Section of Epidemiology, Aarhus University, Denmark
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Ben A. Oostra
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
- Department of Clinical Genetics, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, the Netherlands
| | - Colin N.A. Palmer
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School. Dundee, DD1 9SY
| | - Aarno Palotie
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | | | - Nancy Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Annette Peters
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Munich Heart Alliance, Munich, Germany
| | | | - Anneli Pouta
- Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland
- National Institute for Health and Welfare, 90101 Oulu, Finland
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
- Department of Neurology, General Central Hospital, Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
| | - Carolin Pütter
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Aparna Radhakrishnan
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520 Turku, Finland
- The Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20520 Turku, Finland
| | - Augusto Rendon
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
- MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Timo E. Saaristo
- Finnish Diabetes Association, Kirjoniementie 15, 33680, Tampere, Finland
- Pirkanmaa Hospital District, Tampere, Finland
| | - Jennifer G. Sambrook
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Alan R. Sanders
- University of Chicago, Chicago, Illinois 60637, USA
- Northshore University HealthSystem, Evanston, Illinois 60201, USA
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedicadel del CNR, Monserrato, 09042, Cagliari, Italy
| | - Jouko Saramies
- South Karelia Central Hospital, 53130 Lappeenranta, Finland
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Schreiber
- Institute for Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Heribert Schunkert
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
- Deutsches Zentrum für Herz-Kreislaufforschung e. V. (DZHK), Universität zu Lübeck, 23538 Lübeck, Germany
| | - So-Youn Shin
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | | | - Juha Sinisalo
- Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland
| | - Boris Skrobek
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Alena Stančáková
- University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Klaus Stark
- Klinik und Poliklinik für Innere Medizin II, Universitätklinikum Regensburg, 93053 Regensburg, Germany
| | - Jonathan C. Stephens
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | | | - Ronald P. Stolk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, 04103 Leipzig, Germany
- University of Leipzig, IFB Adiposity Diseases, Leipzig, Germany
| | - Amy J. Swift
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Eirini V. Theodoraki
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Melanie M. Van der Klauw
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Joyce B.J. van Meurs
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Sita H. Vermeulen
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Jarmo Virtamo
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Gérard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Sarah H. Wild
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | | | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Bruce H.R. Wolffenbuttel
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Alan F. Wright
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Philippe Amouyel
- Institut Pasteur de Lille, INSERM U744, Université Lille Nord de France, F-59000 Lille, France
| | - Bernhard O. Boehm
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, Ulm, Germany
| | - Eric Boerwinkle
- Human Genetics Center and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Mark J. Caulfield
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Daniele Cusi
- University of Milan, Department of Health Sciences, Ospedale San Paolo, 20139 Milano, Italy
- Fondazione Filarete, Milano, Italy
| | - George V. Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Jeanette Erdmann
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
- Deutsches Zentrum für Herz-Kreislaufforschung e. V. (DZHK), Universität zu Lübeck, 23538 Lübeck, Germany
| | - Johan G. Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, 00271 Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, 00280 Helsinki, Finland
| | - Paul W. Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Philippe Froguel
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, W12 0NN, London, UK
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala University, Sweden
| | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Christian Hengstenberg
- Klinik und Poliklinik für Innere Medizin II, Universitätklinikum Regensburg, 93053 Regensburg, Germany
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Aroon Hingorani
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, 45147 Essen, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Kees G. Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Thomas Illig
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Hannover Unified Biobank, Hannover Medical School, 30625 Hannover, Germany
| | - Marjo-Riitta Jarvelin
- National Institute for Health and Welfare, 90101 Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
- Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland
- Biocenter Oulu, University of Oulu, 90014 Oulu, Finland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Sirkka M. Keinanen-Kiukaanniemi
- Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland
- Unit of General Practice, Oulu University Hospital, Oulu, Finland
| | - Lambertus A. Kiemeney
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Department of Urology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Comprehensive Cancer Center East, 6501 BG Nijmegen, The Netherlands
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland, Kuopio Campus and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland
| | | | | | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Andrew D. Morris
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School. Dundee, DD1 9SY
| | - Markku S. Nieminen
- Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland
| | - Inger Njølstad
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Claes Ohlsson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Albertine J. Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Willem H. Ouwehand
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Lyle J. Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada, M5G 1L7
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada, M5G 1X5
| | - Brenda Penninx
- Department of Psychiatry, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands
| | - Chris Power
- Centre For Paediatric Epidemiolgy and Biostatistics/MRC Centre of Epidemiology for Child Health, University College of London Institute of Child Health, London, UK
| | - Michael A. Province
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, Washington 98195, USA
- Group Health Research Institute, Group Health, Seattle, Washington 98101, USA
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Samuli Ripatti
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK
- Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Thorkild I.A. Sørensen
- Institute of Preventive Medicine, Bispebjerg University Hospital, Copenhagen, and Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Kari Stefansson
- deCODE Genetics, 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, 04103 Leipzig, Germany
- University of Leipzig, IFB Adiposity Diseases, Leipzig, Germany
| | - Jaakko Tuomilehto
- National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland
- Red RECAVA Grupo RD06/0014/0015, Hospital Universitario La Paz, 28046 Madrid, Spain
- Centre for Vascular Prevention, Danube-University Krems, 3500 Krems, Austria
- South Ostrobothnia Central Hospital, 60220 Seinajoki, Finland
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
- Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - Pim van der Harst
- Department of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Hugh Watkins
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Munich, Germany
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Goncalo R. Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- University of Cambridge Metabolic Research Labs, Institute of Metabolic Science Addenbrooke’s Hospital, CB2 OQQ, Cambridge, UK
| | - Michael Boehnke
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Ingrid B. Borecki
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Caroline S. Fox
- Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Timothy Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK
| | - Leif C. Groop
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden
| | - Talin Haritunian
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Iris M. Heid
- Public Health and Gender Studies, Institute of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - David Hunter
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Old Road Headington, Oxford, OX3 7LJ, UK
| | - Miriam Moffatt
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Yudi Pawitan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1498, New York, NY 10029-6574 USA
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1498, New York, NY 10029-6574 USA
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | | | - David P. Strachan
- Division of Population Health Sciences and Education, St George’s, University of London, London, SW17 0RE, UK
| | - Unnur Thorsteinsdottir
- deCODE Genetics, 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
- Center of Medical Systems Biology, Leiden University Medical Center, 2333 ZC Leiden, the Netherlands
| | - Peter M. Visscher
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
| | | | - Joel N. Hirschhorn
- Divisions of Genetics and Endocrinology and Center for Basic and Translational Obesity Research, Children’s Hospital, Boston, Massachusetts 02115, USA
- Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Cecilia M. Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - David Meyre
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
- Department of Clinical Epidemiology and Biostatistics, McMasterUniversity, Hamilton, Ontario L8S 4L8, Canada
| | - André Scherag
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Old Road Headington, Oxford, OX3 7LJ, UK
| | - Elizabeth K. Speliotes
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kari E. North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Ruth J.F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- The Charles Bronfman Institute of Personalized Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Mount Sinai School of Medicine, New York, NY 10029, USA
- Department of Preventive Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
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10
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Bos D, Ikram MA, Isaacs A, Verhaaren BF, Hofman A, van Duijn CM, Witteman JC, van der Lugt A, Vernooij MW. Genetic Loci for Coronary Calcification and Serum Lipids Relate to Aortic and Carotid Calcification. ACTA ACUST UNITED AC 2013; 6:47-53. [DOI: 10.1161/circgenetics.112.963934] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background—
Atherosclerosis in different vessel beds shares lifestyle and environmental risk factors. It is unclear whether this holds for genetic risk factors. Hence, for the current study genetic loci for coronary artery calcification and serum lipid levels, one of the strongest risk factors for atherosclerosis, were used to assess their relation with atherosclerosis in different vessel beds.
Methods and Results—
From 1987 persons of the population-based Rotterdam Study, 3 single-nucleotide polymorphisms (SNPs) for coronary artery calcification and 132 SNPs for total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides were used. To quantify atherosclerotic calcification as a marker of atherosclerosis, all participants underwent nonenhanced computed tomography of the aortic arch and carotid arteries. Associations between genetic risk scores of the joint effect of the SNPs and of all calcification were investigated. The joint effect of coronary artery calcification–SNPs was associated with larger calcification volumes in all vessel beds (difference in calcification volume per SD increase in genetic risk score: 0.15 [95% confidence interval, 0.11–0.20] in aorta, 0.14 [95% confidence interval, 0.10–0.18] in extracranial carotids, and 0.11 [95% confidence interval, 0.07–0.16] in intracranial carotids). The joint effect of total cholesterol SNPs, low-density lipoprotein SNPs, and of all lipid SNPs together was associated with larger calcification volumes in both the aortic arch and the carotid arteries but attenuated after adjusting for the lipid fraction and lipid-lowering medication.
Conclusions—
The genetic basis for aortic arch and carotid artery calcification overlaps with the most important loci of coronary artery calcification. Furthermore, serum lipids share a genetic predisposition with both calcification in the aortic arch and the carotid arteries, providing novel insights into the cause of atherosclerosis.
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Affiliation(s)
- Daniel Bos
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - M. Arfan Ikram
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Aaron Isaacs
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Benjamin F.J. Verhaaren
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Albert Hofman
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Cornelia M. van Duijn
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Jacqueline C.M. Witteman
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Aad van der Lugt
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
| | - Meike W. Vernooij
- From the Departments of Radiology (D.B., M.A.I., B.F.J.V., A.v.d.L., M.W.V), Epidemiology (D.B., M.A.I., A.I., B.F.J.V., A.H., C.M.v.D., J.C.M.W., M.W.V.), and Genetic Epidemiology Unit (A.I., C.M.v.D.), Erasmus MC, Rotterdam, the Netherlands
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11
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Selwaness M, van den Bouwhuijsen QJ, Verwoert GC, Dehghan A, Mattace-Raso FU, Vernooij M, Franco OH, Hofman A, van der Lugt A, Wentzel JJ, Witteman JC. Blood Pressure Parameters and Carotid Intraplaque Hemorrhage as Measured by Magnetic Resonance Imaging. Hypertension 2013; 61:76-81. [DOI: 10.1161/hypertensionaha.112.198267] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Mariana Selwaness
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Quirijn J.A. van den Bouwhuijsen
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Germaine C. Verwoert
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Abbas Dehghan
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Francesco U.S. Mattace-Raso
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Meike Vernooij
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H. Franco
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Aad van der Lugt
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jolanda J. Wentzel
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jacqueline C.M. Witteman
- From the Departments of Epidemiology (M.S., Q.J.A.v.d.B., G.C.V., A.D., F.U.S.M.-R., M.V., O.H.F., A.H., J.C.M.W.), Biomedical Engineering (M.S., J.J.W.), Radiology (M.S., Q.J.A.v.d.B., M.V., A.v.d.L.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus Medical Center, Rotterdam, The Netherlands
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12
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Poels MM, Zaccai K, Verwoert GC, Vernooij MW, Hofman A, van der Lugt A, Witteman JC, Breteler MM, Mattace-Raso FU, Ikram MA. Arterial Stiffness and Cerebral Small Vessel Disease. Stroke 2012; 43:2637-42. [PMID: 22879099 DOI: 10.1161/strokeaha.111.642264] [Citation(s) in RCA: 170] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background and Purpose—
Aging and vascular risk factors contribute to arterial stiffening. Increased arterial stiffness exposes the small vessels in the brain to abnormal flow pulsations and, as such, may contribute to the pathogenesis of cerebral small vessel disease. In a population-based study, we investigated the association between arterial stiffness, as measured by aortic pulse wave velocity (aPWV), and small vessel disease.
Methods—
Overall, 1460 participants (mean age, 58.2 years) underwent aPWV measurement and brain MRI scanning. We calculated aPWV by measuring time differences and distances between pulse waves in the carotid and femoral arteries. Using automated MRI analysis, we obtained white matter lesion volumes. Infarcts and microbleeds were rated visually. We used linear and logistic regression models to associate aPWV with small vessel disease, adjusting for age, sex, mean arterial pressure, and heart rate and additionally for cardiovascular risk factors. Subsequently, we explored associations in strata of hypertension.
Results—
In the study group, higher aPWV was associated with larger white matter lesion volume (difference in volume per SD increase in aPWV 0.07; 95% CI, 0.02–0.12) but not with lacunar infarcts or microbleeds. In persons with uncontrolled hypertension, higher aPWV was significantly associated with larger white matter lesion volume (difference in volume per SD increase in aPWV 0.09; 95% CI, 0.00–0.18), deep or infratentorial microbleeds (OR, 2.13; 95% CI, 1.16–3.91), and to a lesser extent also with lacunar infarcts (OR, 1.63; 95% CI, 0.98–2.70). No such associations were present in persons with controlled hypertension or without hypertension.
Conclusions—
In our study, increased arterial stiffness is associated with a larger volume of white matter lesions.
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Affiliation(s)
- Mariëlle M.F. Poels
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Kèren Zaccai
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Germaine C. Verwoert
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Meike W. Vernooij
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Albert Hofman
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Aad van der Lugt
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Jacqueline C.M. Witteman
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Monique M.B. Breteler
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - Francesco U.S. Mattace-Raso
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
| | - M. Arfan Ikram
- From the Departments of Epidemiology (M.M.F.P., K.Z., G.C.V., M.W.V., A.H., J.C.M.W., M.M.B.B., F.U.S.M.-R., M.A.I.), Radiology (M.M.F.P., M.W.V., A.v.d.L., M.A.I.), and Internal Medicine (G.C.V., F.U.S.M.-R.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; and DZNE, German Center for Neurodegenerative Diseases (M.M.B.B.), Bonn, Germany
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13
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Tang H, van Walsum T, van Onkelen RS, Hameeteman R, Klein S, Schaap M, Tori FL, van den Bouwhuijsen QJ, Witteman JC, van der Lugt A, van Vliet LJ, Niessen WJ. Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRI. Med Image Anal 2012; 16:1202-15. [DOI: 10.1016/j.media.2012.05.014] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2011] [Revised: 05/14/2012] [Accepted: 05/31/2012] [Indexed: 11/25/2022]
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14
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Bos D, van der Rijk MJ, Geeraedts TE, Hofman A, Krestin GP, Witteman JC, van der Lugt A, Ikram MA, Vernooij MW. Intracranial Carotid Artery Atherosclerosis. Stroke 2012; 43:1878-84. [PMID: 22569939 DOI: 10.1161/strokeaha.111.648667] [Citation(s) in RCA: 123] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Daniel Bos
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Maggee J.M. van der Rijk
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Tychon E.A. Geeraedts
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Albert Hofman
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Gabriel P. Krestin
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Jacqueline C.M. Witteman
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Aad van der Lugt
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - M. Arfan Ikram
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
| | - Meike W. Vernooij
- From the Department of Radiology (D.B., M.J.M.vdR., T.E.A.G., G.P.K., A.vdL., M.A.I., M.W.V.) and Epidemiology (D.B., A.H., J.C.M.W., M.A.I., M.W.V.), Erasmus MC, Rotterdam, the Netherlands
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15
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Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, Amin N, Barnes D, Cadby G, Hottenga JJ, Ingelsson E, Jackson AU, Johnson T, Kanoni S, Ladenvall C, Lagou V, Lahti J, Lecoeur C, Liu Y, Martinez-Larrad MT, Montasser ME, Navarro P, Perry JRB, Rasmussen-Torvik LJ, Salo P, Sattar N, Shungin D, Strawbridge RJ, Tanaka T, van Duijn CM, An P, de Andrade M, Andrews JS, Aspelund T, Atalay M, Aulchenko Y, Balkau B, Bandinelli S, Beckmann JS, Beilby JP, Bellis C, Bergman RN, Blangero J, Boban M, Boehnke M, Boerwinkle E, Bonnycastle LL, Boomsma DI, Borecki IB, Böttcher Y, Bouchard C, Brunner E, Budimir D, Campbell H, Carlson O, Chines PS, Clarke R, Collins FS, Corbatón-Anchuelo A, Couper D, de Faire U, Dedoussis GV, Deloukas P, Dimitriou M, Egan JM, Eiriksdottir G, Erdos MR, Eriksson JG, Eury E, Ferrucci L, Ford I, Forouhi NG, Fox CS, Franzosi MG, Franks PW, Frayling TM, Froguel P, Galan P, de Geus E, Gigante B, Glazer NL, Goel A, Groop L, Gudnason V, Hallmans G, Hamsten A, Hansson O, Harris TB, Hayward C, Heath S, Hercberg S, Hicks AA, Hingorani A, Hofman A, Hui J, Hung J, Jarvelin MR, Jhun MA, Johnson PC, Jukema JW, Jula A, Kao W, Kaprio J, Kardia SLR, Keinanen-Kiukaanniemi S, Kivimaki M, Kolcic I, Kovacs P, Kumari M, Kuusisto J, Kyvik KO, Laakso M, Lakka T, Lannfelt L, Lathrop GM, Launer LJ, Leander K, Li G, Lind L, Lindstrom J, Lobbens S, Loos RJF, Luan J, Lyssenko V, Mägi R, Magnusson PKE, Marmot M, Meneton P, Mohlke KL, Mooser V, Morken MA, Miljkovic I, Narisu N, O’Connell J, Ong KK, Oostra BA, Palmer LJ, Palotie A, Pankow JS, Peden JF, Pedersen NL, Pehlic M, Peltonen L, Penninx B, Pericic M, Perola M, Perusse L, Peyser PA, Polasek O, Pramstaller PP, Province MA, Räikkönen K, Rauramaa R, Rehnberg E, Rice K, Rotter JI, Rudan I, Ruokonen A, Saaristo T, Sabater-Lleal M, Salomaa V, Savage DB, Saxena R, Schwarz P, Seedorf U, Sennblad B, Serrano-Rios M, Shuldiner AR, Sijbrands EJ, Siscovick DS, Smit JH, Small KS, Smith NL, Smith AV, Stančáková A, Stirrups K, Stumvoll M, Sun YV, Swift AJ, Tönjes A, Tuomilehto J, Trompet S, Uitterlinden AG, Uusitupa M, Vikström M, Vitart V, Vohl MC, Voight BF, Vollenweider P, Waeber G, Waterworth DM, Watkins H, Wheeler E, Widen E, Wild SH, Willems SM, Willemsen G, Wilson JF, Witteman JC, Wright AF, Yaghootkar H, Zelenika D, Zemunik T, Zgaga L, Wareham NJ, McCarthy MI, Barroso I, Watanabe RM, Florez JC, Dupuis J, Meigs JB, Langenberg C. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet 2012; 44:659-69. [PMID: 22581228 PMCID: PMC3613127 DOI: 10.1038/ng.2274] [Citation(s) in RCA: 593] [Impact Index Per Article: 49.4] [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] [Received: 07/07/2011] [Accepted: 04/13/2012] [Indexed: 12/15/2022]
Abstract
Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.
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Affiliation(s)
- Alisa K. Manning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts
| | - Marie-France Hivert
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Québec, Canada
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Jonna L. Grimsby
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Nabila Bouatia-Naji
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Han Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Denis Rybin
- Boston University Data Coordinating Center, Boston, Massachusetts, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Lawrence F. Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Inga Prokopenko
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Daniel Barnes
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Gemma Cadby
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada
| | - Jouke-Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Toby Johnson
- Clinical Pharmacology and The Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Claes Ladenvall
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Vasiliki Lagou
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Cecile Lecoeur
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maria Teresa Martinez-Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - May E. Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
| | - Pau Navarro
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - John R. B. Perry
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Perttu Salo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK
| | - Dmitry Shungin
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Genetic Epidemiology & Clinical Research Group, Umeå University Hospital, Umeå, Sweden
- Department of Odontology, Umeå University, Sweden
| | - Rona J. Strawbridge
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Centre for medical systems biology, Netherlands Genomics Initiative, The Hague
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Ping An
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Mustafa Atalay
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Yurii Aulchenko
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Beverley Balkau
- Inserm, CESP Centre for research in Epidemiology and Population Health, Villejuif, France
- University Paris Sud 11, Villejuif, France
| | | | - Jacques S. Beckmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - John P. Beilby
- PathWest Laboratory Medicine of WA, J Block, QEII Medical Centre, Nedlands, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Nedlands, Australia
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
| | - Claire Bellis
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Richard N. Bergman
- Department of Physiology & Biophysics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - John Blangero
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Mladen Boban
- Department of Pharmacology, Faculty of Medicine, University of Split, Croatia
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Lori L. Bonnycastle
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Dorret I. Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Ingrid B. Borecki
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yvonne Böttcher
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Eric Brunner
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Danijela Budimir
- Department of Pharmacology, Faculty of Medicine, University of Split, Croatia
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Olga Carlson
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, USA
| | - Peter S. Chines
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Robert Clarke
- Clinical Trial Service Unit, University of Oxford, Oxford, UK
| | - Francis S. Collins
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arturo Corbatón-Anchuelo
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - David Couper
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - George V Dedoussis
- Department of Nutrition - Dietetics, Harokopio University, Athens, Greece
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Maria Dimitriou
- Department of Nutrition - Dietetics, Harokopio University, Athens, Greece
| | - Josephine M Egan
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, USA
| | | | - Michael R. Erdos
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Johan G. Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
- Vaasa Central Hospital, Vaasa, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Elodie Eury
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, UK
| | - Nita G. Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Maria Grazia Franzosi
- Department of Cardiovascular Research, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Paul W Franks
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Genetic Epidemiology & Clinical Research Group, Umeå University Hospital, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Institut National de la Recherche Agronomique, Université Paris, Bobigny Cedex, France
| | - Timothy M Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Philippe Froguel
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
- Genomic Medicine, Hammersmith Hospital, Imperial College London, London, UK
| | - Pilar Galan
- Institut National de la Santé et de la Recherche Médicale, Université Paris, Bobigny Cedex, France
| | - Eco de Geus
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Bruna Gigante
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nicole L. Glazer
- Department of Medicine, Section of Preventive Medicine and Epidemiology, BU School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, BU School of Public Health, Boston, Massachusetts, USA
| | - Anuj Goel
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Göran Hallmans
- Department of Public Health & Clinical Medicine, Nutrition Research, Umeå University, Sweden
| | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ola Hansson
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Tamara B. Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Simon Heath
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Serge Hercberg
- Institut National de la Santé et de la Recherche Médicale, Université Paris, Bobigny Cedex, France
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano, Bolzano, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Aroon Hingorani
- Genetic epidemiology group, University College London, Department of Epidemiology & Public Health, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Jennie Hui
- PathWest Laboratory Medicine of WA, J Block, QEII Medical Centre, Nedlands, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Nedlands, Australia
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
- School of Population Health, The University of Western Australia, Nedlands, Australia
| | - Joseph Hung
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
- Sir Charles Gairdner Hospital Unit, School of Medicine & Pharmacology, University of Western Australia, Australia
| | - Marjo Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, MRC-HPA Centre for Environment and Health, Faculty of Medicine, Imperial College London, UK
- Institute of Health Sciences, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- National Institute of Health and Welfare, Oulu, Finland
| | - Min A. Jhun
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - J Wouter Jukema
- Department of Cardiology C5-P, Leiden University Medical Center, Leiden, the Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Antti Jula
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - W.H. Kao
- Division of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
| | - Jaakko Kaprio
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Hjelt Institute, Dept of Public Health, University of Helsinki, Finland
| | - Sharon L. R. Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sirkka Keinanen-Kiukaanniemi
- Faculty of Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
- Unit of General Practice, Oulu University Hospital, Oulu, Finland
| | - Mika Kivimaki
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Peter Kovacs
- Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig, Germany
| | - Meena Kumari
- Genetic epidemiology group, University College London, Department of Epidemiology & Public Health, London, UK
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kirsten Ohm Kyvik
- Institute of Regional Health Services Research and Professor Odense Patient data Explorative Network (OPEN)
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Timo Lakka
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Lars Lannfelt
- Department of Public Health and Caring Sciences, Uppsala University, Rudbecklaboratoriet, Uppsala, Sweden
| | - G Mark Lathrop
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Karin Leander
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Guo Li
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
| | - Lars Lind
- Department of Medical Sciences, University Hospital, Uppsala University, Uppsala, Sweden
| | - Jaana Lindstrom
- Diabetes Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Stéphane Lobbens
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Jian’an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Reedik Mägi
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michael Marmot
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Pierre Meneton
- Institut National de la Santé et de la Recherche Médicale, Centre de Recherche des Cordeliers, Paris, France
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Vincent Mooser
- Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Mario A. Morken
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Iva Miljkovic
- Department of Epidemiology, Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Narisu Narisu
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Jeff O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - Lyle J. Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and Helsinki University Central Hospital, Finland
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - John F. Peden
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marina Pehlic
- Department of Biology, Faculty of Medicine, University of Split, Croatia
| | - Leena Peltonen
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Brenda Penninx
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department Psychiatry, EMGO Institute for Health and Care Research and Institute for Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Markus Perola
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Louis Perusse
- Department of Preventive Medicine, Laval University, Quebec, Canada
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano, Bolzano, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Michael A. Province
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Emil Rehnberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | | | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Global Health, University of Split, Croatia
| | - Aimo Ruokonen
- Institute of Clinical Medicine, University of Oulu, Finland
| | - Timo Saaristo
- Finnish Diabetes Association, Tampere, Finland
- Pirkanmaa Hospital District, Tampere, Finland
| | - Maria Sabater-Lleal
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - David B. Savage
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Peter Schwarz
- Department of Medicine, Division Prevention and Care of Diabetes, University of Dresden, Dresden, Germany
| | - Udo Seedorf
- Leibniz Institute for Arteriosclerosis Research, University of Munster, Germany
| | - Bengt Sennblad
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Manuel Serrano-Rios
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, USA
| | | | - David S. Siscovick
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Johannes H. Smit
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Kerrin S. Small
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Nicholas L. Smith
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington, USA
- Seattle Epidemiologic Research and Information Center, Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kathleen Stirrups
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Michael Stumvoll
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Department of Medicine, University of Leipzig, Division of Endocrinology and Diabetes, Leipzig, Germany
| | - Yan V. Sun
- Department of Epidemiology, Emory University, Atlanta, Georgia, US
| | - Amy J. Swift
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Anke Tönjes
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Department of Medicine, University of Leipzig, Division of Endocrinology and Diabetes, Leipzig, Germany
| | - Jaakko Tuomilehto
- Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- South Ostrobothnia Central Hospital, Seinäjoki, Finland
- Hospital Universitario La Paz, Madrid, Spain
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria
| | - Stella Trompet
- Department of Cardiology C5-P, Leiden University Medical Center, Leiden, the Netherlands
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Easten Finland, Kuopio, Finland
- Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - Max Vikström
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Marie-Claude Vohl
- Department of Food Science and Nutrition, Laval University, Quebec, Canada
| | - Benjamin F. Voight
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Gerard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Dawn M Waterworth
- Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Hugh Watkins
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Eleanor Wheeler
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Finland
| | - Sarah H. Wild
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Sara M. Willems
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Alan F. Wright
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Diana Zelenika
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Tatijana Zemunik
- Department of Biology, Faculty of Medicine, University of Split, Croatia
| | - Lina Zgaga
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
- Department of medical statistics, epidemiology and medical informatics, University of Zagreb, Zagreb, Croatia
| | | | | | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Ines Barroso
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Hinxton, UK
- University of Cambridge, Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Richard M. Watanabe
- Department of Physiology & Biophysics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Jose C. Florez
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Diabetes Research Center, Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
| | - James B. Meigs
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
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16
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Tuinenburg A, Rutten A, Kavousi M, Leebeek FW, Ypma PF, Laros-van Gorkom BA, Nijziel MR, Kamphuisen PW, Mauser-Bunschoten EP, Roosendaal G, Biesma DH, van der Lugt A, Hofman A, Witteman JC, Bots ML, Schutgens RE. Coronary Artery Calcification in Hemophilia A. Arterioscler Thromb Vasc Biol 2012; 32:799-804. [DOI: 10.1161/atvbaha.111.238162] [Citation(s) in RCA: 46] [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: 11/16/2022]
Abstract
Objective—
Ischemic heart disease mortality is lower in hemophilia patients than in the general male population. As coagulation plays a role in the inflammatory pathways involved in atherogenesis, we investigated whether the clotting factor deficiency protects hemophilia patients from developing atherosclerosis.
Methods and Results—
Coronary artery calcification, measured with multidetector-row computed tomography, was compared between 42 men, ≥59 years, with severe or moderate hemophilia A, and 613 nonhemophilic men from the Rotterdam Study, a prospective population-based study. None of the study subjects were HIV infected or had a history of cardiovascular disease. Coronary artery calcification was quantified by calculating the Agatston score and calcification mass. Data were analyzed using linear regression. Mean difference (β) of the natural log–transformed Agatston score between men with and without hemophilia was 0.141 (95% CI −0.602 to 0.885,
P
=0.709). Results did not change after adjustment for age, body mass index, hypercholesterolemia, hypertension, and use of antidiabetic medication (β=0.525, 95% CI −0.202 to 1.252,
P
=0.157). Comparable results were found for calcification mass.
Conclusion—
The extent of coronary artery atherosclerosis is comparable between elderly men with and without hemophilia. Results from this study underline the importance of screening and treating atherosclerosis risk factors in hemophilia patients.
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Affiliation(s)
- Attie Tuinenburg
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Annemarieke Rutten
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Maryam Kavousi
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Frank W.G. Leebeek
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Paula F. Ypma
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Britta A.P. Laros-van Gorkom
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Marten R. Nijziel
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Pieter W. Kamphuisen
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Eveline P. Mauser-Bunschoten
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Goris Roosendaal
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Douwe H. Biesma
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Aad van der Lugt
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Albert Hofman
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Jacqueline C.M. Witteman
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Michiel L. Bots
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
| | - Roger E.G. Schutgens
- From the Van Creveldkliniek/Department of Hematology (A.T., E.P.M.-B., G.R., D.H.B., R.E.G.S.), Department of Radiology (A.R.), and Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Gelre Hospitals, Apeldoorn, the Netherlands (A.R.); Departments of Epidemiology (M.K., A.H., J.C.M.W.), Hematology (F.W.G.L.) and Radiology (A.y.d.L.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department
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17
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Grallert H, Dupuis J, Bis JC, Dehghan A, Barbalic M, Baumert J, Lu C, Smith NL, Uitterlinden AG, Roberts R, Khuseyinova N, Schnabel RB, Rice KM, Rivadeneira F, Hoogeveen RC, Fontes JD, Meisinger C, Keaney JF, Lemaitre R, Aulchenko YS, Vasan RS, Ellis S, Hazen SL, van Duijn CM, Nelson JJ, März W, Schunkert H, McPherson RM, Stirnadel-Farrant HA, Psaty BM, Gieger C, Siscovick D, Hofman A, Illig T, Cushman M, Yamamoto JF, Rotter JI, Larson MG, Stewart AF, Boerwinkle E, Witteman JC, Tracy RP, Koenig W, Benjamin EJ, Ballantyne CM. Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies. Eur Heart J 2012; 33:238-51. [PMID: 22003152 PMCID: PMC3258449 DOI: 10.1093/eurheartj/ehr372] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2010] [Revised: 08/16/2011] [Accepted: 09/09/2011] [Indexed: 12/20/2022] Open
Abstract
AIMS Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. METHODS AND RESULTS In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 × 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 × 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study. CONCLUSION Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.
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Affiliation(s)
- Harald Grallert
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jens Baumert
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Chen Lu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center of the Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Robert Roberts
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Natalie Khuseyinova
- Department of Internal Medicine II–Cardiology, University of Ulm Medical Center, Albert-Einstein-Allee 23, Ulm D-89081, Germany
| | - Renate B. Schnabel
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Kenneth M. Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ron C. Hoogeveen
- Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Methodist DeBakey Heart and Vascular Center, 6565 Fannin, MS A-601, Houston, TX, USA
| | - João Daniel Fontes
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Section of Preventive Medicine and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christa Meisinger
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - John F. Keaney
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Rozenn Lemaitre
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA, USA
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | | | | | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Jeanenne J. Nelson
- Worldwide Epidemiology, GlaxoSmithKline, Research Triangle Park, NC, USA
| | - Winfried März
- Synlab Center of Laboratory Diagnostics Heidelberg, Heidelberg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | | | - Ruth M. McPherson
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | | | - Bruce M. Psaty
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Christian Gieger
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - David Siscovick
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Thomas Illig
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
- Ludwig-Maximilians University Munich, Institute of Medical Data Management, Biometrics and Epidemiology, Chair of Epidemiology, Munich, Germany
| | - Mary Cushman
- Department of Medicine, University of Vermont, Burlington, VT, USA
| | - Jennifer F. Yamamoto
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Martin G. Larson
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Alexandre F.R. Stewart
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Russell P. Tracy
- Department of Pathology, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Wolfgang Koenig
- Department of Internal Medicine II–Cardiology, University of Ulm Medical Center, Albert-Einstein-Allee 23, Ulm D-89081, Germany
| | - Emelia J. Benjamin
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Section of Preventive Medicine and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christie M. Ballantyne
- Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Methodist DeBakey Heart and Vascular Center, 6565 Fannin, MS A-601, Houston, TX, USA
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Muller O, Mangiacapra F, Ntalianis A, Verhamme KM, Trana C, Hamilos M, Bartunek J, Vanderheyden M, Wyffels E, Heyndrickx GR, van Rooij FJ, Witteman JC, Hofman A, Wijns W, Barbato E, De Bruyne B. Long-Term Follow-Up After Fractional Flow Reserve–Guided Treatment Strategy in Patients With an Isolated Proximal Left Anterior Descending Coronary Artery Stenosis. JACC Cardiovasc Interv 2011; 4:1175-82. [DOI: 10.1016/j.jcin.2011.09.007] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Revised: 09/07/2011] [Accepted: 09/09/2011] [Indexed: 10/15/2022]
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van Kempen BJ, Spronk S, Koller MT, Elias-Smale SE, Fleischmann KE, Ikram MA, Krestin GP, Hofman A, Witteman JC, Hunink MM. Comparative Effectiveness and Cost-Effectiveness of Computed Tomography Screening for Coronary Artery Calcium in Asymptomatic Individuals. J Am Coll Cardiol 2011; 58:1690-701. [DOI: 10.1016/j.jacc.2011.05.056] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Revised: 05/11/2011] [Accepted: 05/14/2011] [Indexed: 01/07/2023]
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Kanoni S, Nettleton JA, Hivert MF, Ye Z, van Rooij FJ, Shungin D, Sonestedt E, Ngwa JS, Wojczynski MK, Lemaitre RN, Gustafsson S, Anderson JS, Tanaka T, Hindy G, Saylor G, Renstrom F, Bennett AJ, van Duijn CM, Florez JC, Fox CS, Hofman A, Hoogeveen RC, Houston DK, Hu FB, Jacques PF, Johansson I, Lind L, Liu Y, McKeown N, Ordovas J, Pankow JS, Sijbrands EJ, Syvänen AC, Uitterlinden AG, Yannakoulia M, Zillikens MC, Wareham NJ, Prokopenko I, Bandinelli S, Forouhi NG, Cupples LA, Loos RJ, Hallmans G, Dupuis J, Langenberg C, Ferrucci L, Kritchevsky SB, McCarthy MI, Ingelsson E, Borecki IB, Witteman JC, Orho-Melander M, Siscovick DS, Meigs JB, Franks PW, Dedoussis GV. Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis. Diabetes 2011; 60:2407-16. [PMID: 21810599 PMCID: PMC3161318 DOI: 10.2337/db11-0176] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2011] [Accepted: 06/01/2011] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Many genetic variants have been associated with glucose homeostasis and type 2 diabetes in genome-wide association studies. Zinc is an essential micronutrient that is important for β-cell function and glucose homeostasis. We tested the hypothesis that zinc intake could influence the glucose-raising effect of specific variants. RESEARCH DESIGN AND METHODS We conducted a 14-cohort meta-analysis to assess the interaction of 20 genetic variants known to be related to glycemic traits and zinc metabolism with dietary zinc intake (food sources) and a 5-cohort meta-analysis to assess the interaction with total zinc intake (food sources and supplements) on fasting glucose levels among individuals of European ancestry without diabetes. RESULTS We observed a significant association of total zinc intake with lower fasting glucose levels (β-coefficient ± SE per 1 mg/day of zinc intake: -0.0012 ± 0.0003 mmol/L, summary P value = 0.0003), while the association of dietary zinc intake was not significant. We identified a nominally significant interaction between total zinc intake and the SLC30A8 rs11558471 variant on fasting glucose levels (β-coefficient ± SE per A allele for 1 mg/day of greater total zinc intake: -0.0017 ± 0.0006 mmol/L, summary interaction P value = 0.005); this result suggests a stronger inverse association between total zinc intake and fasting glucose in individuals carrying the glucose-raising A allele compared with individuals who do not carry it. None of the other interaction tests were statistically significant. CONCLUSIONS Our results suggest that higher total zinc intake may attenuate the glucose-raising effect of the rs11558471 SLC30A8 (zinc transporter) variant. Our findings also support evidence for the association of higher total zinc intake with lower fasting glucose levels.
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Affiliation(s)
- Stavroula Kanoni
- Department of Nutrition-Dietetics, Harokopio University, Athens, Greece
- Wellcome Trust Sanger Institute, Hinxton, U.K
| | - Jennifer A. Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center, Houston, Texas
| | - Marie-France Hivert
- Department of Medicine, Division of Endocrinology, Université de Sherbrooke, Sherbrooke, Canada
| | - Zheng Ye
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K
| | - Frank J.A. van Rooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
| | - Dmitry Shungin
- Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University Hospital, Umeå, Sweden
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Odontology, Umeå University, Umeå, Sweden
| | - Emily Sonestedt
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Julius S. Ngwa
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Mary K. Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine and Epidemiology, University of Washington, Seattle, Washington
| | - Stefan Gustafsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland
| | - George Hindy
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Georgia Saylor
- Baptist Medical Center, Wake Forest University, Winston-Salem, North Carolina
| | - Frida Renstrom
- Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University Hospital, Umeå, Sweden
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Amanda J. Bennett
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
| | - Jose C. Florez
- Diabetes Unit, Center for Human Genetic Research and Diabetes Research Center, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Caroline S. Fox
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
- Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
| | - Ron C. Hoogeveen
- Section of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart Center, Houston, Texas
| | - Denise K. Houston
- Sticht Center on Aging, Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Paul F. Jacques
- Nutrition Epidemiology Program, U.S. Department of Agriculture Human Nutrition Research Center on Aging (USDA HNRCA) at Tufts University, Boston, Massachusetts
| | | | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, North Carolina
| | - Nicola McKeown
- Nutrition Epidemiology Program, U.S. Department of Agriculture Human Nutrition Research Center on Aging (USDA HNRCA) at Tufts University, Boston, Massachusetts
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts
| | - Jose Ordovas
- Nutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, Massachusetts
| | - James S. Pankow
- Department of Epidemiology, University of Minnesota, Minneapolis, Minnesota
| | - Eric J.G. Sijbrands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mary Yannakoulia
- Department of Nutrition-Dietetics, Harokopio University, Athens, Greece
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Nick J. Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K
| | - Inga Prokopenko
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
| | | | - Nita G. Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Ruth J. Loos
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K
| | - Goran Hallmans
- Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University Hospital, Umeå, Sweden
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland
| | - Stephen B. Kritchevsky
- Sticht Center on Aging, Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Oxford, U.K
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, the Netherlands
| | | | - David S. Siscovick
- Cardiovascular Health Research Unit, Department of Medicine and Epidemiology, University of Washington, Seattle, Washington
| | - James B. Meigs
- General Medicine Division, Clinical Epidemiology Unit and Diabetes Research Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Paul W. Franks
- Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University Hospital, Umeå, Sweden
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
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Elias-Smale SE, Proença RV, Koller MT, Kavousi M, van Rooij FJ, Hunink MG, Steyerberg EW, Hofman A, Oudkerk M, Witteman JC. Coronary Calcium Score Improves Classification of Coronary Heart Disease Risk in the Elderly. J Am Coll Cardiol 2010; 56:1407-14. [DOI: 10.1016/j.jacc.2010.06.029] [Citation(s) in RCA: 273] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2010] [Revised: 06/07/2010] [Accepted: 06/29/2010] [Indexed: 11/25/2022]
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Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, Johansen CT, Fouchier SW, Isaacs A, Peloso GM, Barbalic M, Ricketts SL, Bis JC, Aulchenko YS, Thorleifsson G, Feitosa MF, Chambers J, Orho-Melander M, Melander O, Johnson T, Li X, Guo X, Li M, Cho YS, Go MJ, Kim YJ, Lee JY, Park T, Kim K, Sim X, Ong RTH, Croteau-Chonka DC, Lange LA, Smith JD, Song K, Zhao JH, Yuan X, Luan J, Lamina C, Ziegler A, Zhang W, Zee RY, Wright AF, Witteman JC, Wilson JF, Willemsen G, Wichmann HE, Whitfield JB, Waterworth DM, Wareham NJ, Waeber G, Vollenweider P, Voight BF, Vitart V, Uitterlinden AG, Uda M, Tuomilehto J, Thompson JR, Tanaka T, Surakka I, Stringham HM, Spector TD, Soranzo N, Smit JH, Sinisalo J, Silander K, Sijbrands EJ, Scuteri A, Scott J, Schlessinger D, Sanna S, Salomaa V, Saharinen J, Sabatti C, Ruokonen A, Rudan I, Rose LM, Roberts R, Rieder M, Psaty BM, Pramstaller PP, Pichler I, Perola M, Penninx BW, Pedersen NL, Pattaro C, Parker AN, Pare G, Oostra BA, O'Donnell CJ, Nieminen MS, Nickerson DA, Montgomery GW, Meitinger T, McPherson R, McCarthy MI, McArdle W, Masson D, Martin NG, Marroni F, Mangino M, Magnusson PK, Lucas G, Luben R, Loos RJF, Lokki M, Lettre G, Langenberg C, Launer LJ, Lakatta EG, Laaksonen R, Kyvik KO, Kronenberg F, König IR, Khaw KT, Kaprio J, Kaplan LM, Johansson Å, Jarvelin MR, Janssens ACJ, Ingelsson E, Igl W, Hovingh GK, Hottenga JJ, Hofman A, Hicks AA, Hengstenberg C, Heid IM, Hayward C, Havulinna AS, Hastie ND, Harris TB, Haritunians T, Hall AS, Gyllensten U, Guiducci C, Groop LC, Gonzalez E, Gieger C, Freimer NB, Ferrucci L, Erdmann J, Elliott P, Ejebe KG, Döring A, Dominiczak AF, Demissie S, Deloukas P, de Geus EJ, de Faire U, Crawford G, Collins FS, Chen YDI, Caulfield MJ, Campbell H, Burtt NP, Bonnycastle LL, Boomsma DI, Boekholdt SM, Bergman RN, Barroso I, Bandinelli S, Ballantyne CM, Assimes TL, Quertermous T, Altshuler D, Seielstad M, Wong TY, Tai ES, Feranil AB, Kuzawa CW, Adair LS, Taylor HA, Borecki IB, Gabriel SB, Wilson JG, Stefansson K, Thorsteinsdottir U, Gudnason V, Krauss RM, Mohlke KL, Ordovas JM, Munroe PB, Kooner JS, Tall AR, Hegele RA, Kastelein JJ, Schadt EE, Rotter JI, Boerwinkle E, Strachan DP, Mooser V, Holm H, Reilly MP, Samani NJ, Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, Kathiresan S. Biological, clinical and population relevance of 95 loci for blood lipids. Nature 2010; 466:707-13. [PMID: 20686565 PMCID: PMC3039276 DOI: 10.1038/nature09270] [Citation(s) in RCA: 2737] [Impact Index Per Article: 195.5] [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: 02/25/2010] [Accepted: 06/11/2010] [Indexed: 11/09/2022]
Abstract
Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
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Affiliation(s)
- Tanya M. Teslovich
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Kiran Musunuru
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Albert V. Smith
- Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Andrew C. Edmondson
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Ioannis M. Stylianou
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Masahiro Koseki
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - James P. Pirruccello
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Daniel I. Chasman
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Cristen J. Willer
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - Sigrid W. Fouchier
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | - Aaron Isaacs
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - Sally L. Ricketts
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | | | - Mary F. Feitosa
- Division of Statistical Genomics in the Center for Genome Sciences, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - John Chambers
- Department of Epidemiology and Public Health, Imperial College London, London W2 1PG, UK
| | | | - Olle Melander
- Department of Clinical Sciences, Lund University, SE 205 02, Malmö, Sweden
| | - Toby Johnson
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK
| | - Xiaohui Li
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Xiuqing Guo
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mingyao Li
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Yoon Shin Cho
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Taesung Park
- Interdisciplinary Program in Bioinformatics, College of Natural Science, Seoul National University, Seoul, Korea
- Department of Statistics, College of Natural Science, Seoul National University, Seoul, Korea
| | - Kyunga Kim
- Department of Statistics, Sookmyung Women's University, Seoul, Korea
| | - Xueling Sim
- Centre for Molecular Epidemiology, National University of Singapore, Singapore
| | | | | | - Leslie A. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Joshua D. Smith
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kijoung Song
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Xin Yuan
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Schoepfstrasse 41, A-6020 Innsbruck, Austria
| | | | - Andreas Ziegler
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Weihua Zhang
- Department of Epidemiology and Public Health, Imperial College London, London W2 1PG, UK
| | - Robert Y.L. Zee
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - H-Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - John B. Whitfield
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Dawn M. Waterworth
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Gérard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Benjamin F. Voight
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Manuela Uda
- Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 09042, Italy
| | - Jaakko Tuomilehto
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - John R. Thompson
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21225, USA
- Medstar Research Institute, Baltimore, Maryland, USA
| | - Ida Surakka
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Heather M. Stringham
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Nicole Soranzo
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Johannes H. Smit
- Department of Psychiatry, EMGO Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Juha Sinisalo
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital (HUCH), Helsinki, Finland
| | - Kaisa Silander
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Eric J.G. Sijbrands
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Angelo Scuteri
- Unita Operativa Geriatria, Istituto Nazionale Ricovero e Cura Anziani (INRCA), Istituto Ricovero e Cura a Carattere Scientifico (IRCCS), Via Cassia 1167, 00189 Rome, Italy
| | - James Scott
- Hammersmith Hospital, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - David Schlessinger
- Gerontology Research Center, National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, Maryland 21224, USA
| | - Serena Sanna
- Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 09042, Italy
| | - Veikko Salomaa
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Juha Saharinen
- FIMM, Institute for Molecular Medicine, Finland, Biomedicum, P.O. Box 104, 00251 Helsinki, Finland
| | - Chiara Sabatti
- Department of Human Genetics, UCLA School of Medicine, University of California, 695 Charles E. Young Drive South, Los Angeles, California 90095, USA
| | - Aimo Ruokonen
- Department of Clinical Chemistry, University of Oulu, 90220 Oulu, Finland
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Robert Roberts
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa, Ottawa, Canada
| | - Mark Rieder
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Bruce M. Psaty
- Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA; Group Health Research Institute, Group Health Cooperative, Seattle, Washington, USA
| | - Peter P. Pramstaller
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Irene Pichler
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Markus Perola
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Brenda W.J.H. Penninx
- Department of Psychiatry, EMGO Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Cristian Pattaro
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | | | - Guillaume Pare
- Genetic and Molecular Epidemiology Laboratory, McMaster University, Hamilton, Ontario L8N3Z5, Canada
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Christopher J. O'Donnell
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Markku S. Nieminen
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital (HUCH), Helsinki, Finland
| | - Deborah A. Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Grant W. Montgomery
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Thomas Meitinger
- Institut fur Humangenetik, Helmholtz Zentrum Munchen, Deutsches Forschungszentrum fur Umwelt und Gesundheit, D-85764 Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Muenchen, Germany
| | - Ruth McPherson
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa, Ottawa, Canada
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Wendy McArdle
- Avon Longitudinal Study of Parents and Children, University of Bristol, Bristol, UK
| | - David Masson
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - Nicholas G. Martin
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Fabio Marroni
- Institute of Applied Genomics, via Linussio 51, 33100, Udine, Italy
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Patrik K.E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Gavin Lucas
- Cardiovascular Epidemiology and Genetics, Institut Municipal d'Investigacio Medica, 08003 Barcelona, Spain
| | - Robert Luben
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Maisa Lokki
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Guillaume Lettre
- Montreal Heart Institute (Research Center), Université de Montréal, Montréal, Québec, Canada
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Edward G. Lakatta
- Gerontology Research Center, National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, Maryland 21224, USA
| | - Reijo Laaksonen
- Science Center, Tampere University Hospital, Tampere, Finland
| | - Kirsten O. Kyvik
- Institute of Regional Health Research and the Danish Twin Registry, Institute of Public Health, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Schoepfstrasse 41, A-6020 Innsbruck, Austria
| | - Inke R. König
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
- Faculty of Medicine, Department of Public Health, University of Helsinki, Helsinki, P.O. Box 41, FIN-00014, Finland
| | - Lee M. Kaplan
- Massachusetts General Hospital Weight Center, Boston, Massachusetts 02114, USA
| | - Åsa Johansson
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology & Biostatistics, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- Department of Public Health Science and General Practice, University of Oulu, Finland
| | - A. Cecile J.W. Janssens
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Wilmar Igl
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - Andrew A. Hicks
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Christian Hengstenberg
- Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, Regensburg, Germany
| | - Iris M. Heid
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Department of Epidemiology and Preventive Medicine Regensburg University Medical Center Franz-Josef-Strauss-Allee 11 93053 Regensburg, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Aki S. Havulinna
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, Espoo, Finland
| | - Nicholas D. Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Talin Haritunians
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Alistair S. Hall
- LIGHT Research Institute, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Ulf Gyllensten
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | | | - Leif C. Groop
- Department of Clinical Sciences, Lund University, SE 205 02, Malmö, Sweden
- Department of Medicine, Helsinki University Hospital, Helsinki 00029, Finland
| | | | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Nelson B. Freimer
- Department of Psychiatry, Center for Neurobehavioral Genetics, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21225, USA
| | | | - Paul Elliott
- Department of Epidemiology & Biostatistics, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- MRC-HPA Centre for Environment and Health, Imperial College London, UK
| | | | - Angela Döring
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Anna F. Dominiczak
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | | | - Eco J.C. de Geus
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, S-171 77 Stockholm, Sweden
| | | | - Francis S. Collins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Yii-der I. Chen
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mark J. Caulfield
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Noel P. Burtt
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Lori L. Bonnycastle
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - S. Matthijs Boekholdt
- Departments of Vascular Medicine & Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Richard N. Bergman
- Department of Physiology and Biophysics, University of Southern California, Los Angeles, California 90033, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | | | | | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - David Altshuler
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | | | - Tien Y. Wong
- Singapore Eye Research Institute, National University of Singapore, Singapore
| | - E-Shyong Tai
- Departments of Medicine/Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Alan B. Feranil
- Office of Population Studies Foundation, University of San Carlos, Cebu City 6000, Philippines
| | | | - Linda S. Adair
- Department of Nutrition, Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina 27516, USA
| | - Herman A. Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Ingrid B. Borecki
- Division of Statistical Genomics in the Center for Genome Sciences, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | | | - James G. Wilson
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | | | | | - Vilmundur Gudnason
- Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Ronald M. Krauss
- Children's Hospital Oakland Research Institute, Oakland, California 94609, USA
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Jose M. Ordovas
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain, and Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, USA
| | - Patricia B. Munroe
- Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Jaspal S. Kooner
- Hammersmith Hospital, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Alan R. Tall
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - Robert A. Hegele
- Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada
| | - John J.P. Kastelein
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | | | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - David P. Strachan
- Division of Community Health Sciences, St George's, University of London, London, UK
| | - Vincent Mooser
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | | | - Muredach P. Reilly
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Nilesh J Samani
- FIMM, Institute for Molecular Medicine, Finland, Biomedicum, P.O. Box 104, 00251 Helsinki, Finland
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, UK; Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | | | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Manjinder S. Sandhu
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Paul M Ridker
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Daniel J. Rader
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - Leena Peltonen
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Gonçalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Michael Boehnke
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Sekar Kathiresan
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
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Brugts JJ, Isaacs A, Boersma E, van Duijn CM, Uitterlinden AG, Remme W, Bertrand M, Ninomiya T, Ceconi C, Chalmers J, MacMahon S, Fox K, Ferrari R, Witteman JC, Danser AJ, Simoons ML, de Maat MP. Genetic determinants of treatment benefit of the angiotensin-converting enzyme-inhibitor perindopril in patients with stable coronary artery disease. Eur Heart J 2010; 31:1854-1864. [DOI: 10.1093/eurheartj/ehq169] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
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Euser SM, Sattar N, Witteman JC, Bollen EL, Sijbrands EJ, Hofman A, Perry IJ, Breteler MM, Westendorp RG. A prospective analysis of elevated fasting glucose levels and cognitive function in older people: results from PROSPER and the Rotterdam Study. Diabetes 2010; 59:1601-7. [PMID: 20393152 PMCID: PMC2889758 DOI: 10.2337/db09-0568] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
OBJECTIVE To investigate the relationship between fasting glucose levels, insulin resistance, and cognitive impairment in old age. Diabetes is associated with cognitive impairment in older people. However, the link between elevated fasting glucose levels and insulin resistance in nondiabetic individuals, and the risk of cognitive impairment is unclear. RESEARCH DESIGN AND METHODS We analyzed data from, in total, 8,447 participants in two independent prospective studies: the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER), 5,019 participants, aged 69-84 years, and the Rotterdam Study, 3,428 participants, aged 61-97 years. Fasting glucose levels were assessed at baseline in both studies; fasting insulin levels were assessed in the Rotterdam Study only. Cognitive function was assessed in both studies at baseline and during follow-up. RESULTS Subjects with diabetes had impaired cognitive function at baseline. In contrast, in people without a history of diabetes, there was no clear association between baseline fasting glucose levels and executive function and memory, nor was there a consistent relationship between elevated baseline fasting glucose levels and the rate of cognitive decline in either cohort. Insulin resistance (homeostasis model assessment index) was also unrelated to cognitive function and decline. CONCLUSIONS Elevated fasting glucose levels and insulin resistance are not associated with worse cognitive function in older people without a history of diabetes. These data suggest either that there is a threshold for effects of dysglycemia on cognitive function or that factors other than hyperglycemia contribute to cognitive impairment in individuals with frank diabetes.
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Affiliation(s)
- Sjoerd M. Euser
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Naveed Sattar
- Faculty of Medicine, University of Glasgow, Glasgow, Scotland
| | | | - Eduard L.E.M. Bollen
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Ivan J. Perry
- Department of Epidemiology and Public Health, University College Cork, Cork, Ireland
| | | | - Rudi G.J. Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, the Netherlands
- Corresponding author: Rudi G.J. Westendorp,
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Dijkstra SC, Brouwer IA, van Rooij FJ, Hofman A, Witteman JC, Geleijnse JM. Intake of very long chain n-3 fatty acids from fish and the incidence of heart failure: the Rotterdam Study. Eur J Heart Fail 2009; 11:922-8. [DOI: 10.1093/eurjhf/hfp126] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [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)
- S. Coosje Dijkstra
- Division of Human Nutrition; Wageningen University; PO Box 8129 6700 EV Wageningen The Netherlands
- Department of Epidemiology and Biostatistics; Erasmus MC; PO Box 1738 30000 DR Rotterdam The Netherlands
| | - Ingeborg A. Brouwer
- Division of Human Nutrition; Wageningen University; PO Box 8129 6700 EV Wageningen The Netherlands
- Institute of Health Sciences; VU University Amsterdam; De Boelenlaan 1085 1081 HV Amsterdam The Netherlands
| | - Frank J.A. van Rooij
- Department of Epidemiology and Biostatistics; Erasmus MC; PO Box 1738 30000 DR Rotterdam The Netherlands
| | - Albert Hofman
- Department of Epidemiology and Biostatistics; Erasmus MC; PO Box 1738 30000 DR Rotterdam The Netherlands
| | - Jacqueline C.M. Witteman
- Department of Epidemiology and Biostatistics; Erasmus MC; PO Box 1738 30000 DR Rotterdam The Netherlands
| | - Johanna M. Geleijnse
- Division of Human Nutrition; Wageningen University; PO Box 8129 6700 EV Wageningen The Netherlands
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Gast GCM, de Roos NM, Sluijs I, Bots ML, Beulens JWJ, Geleijnse JM, Witteman JC, Grobbee DE, Peeters PHM, van der Schouw YT. A high menaquinone intake reduces the incidence of coronary heart disease. Nutr Metab Cardiovasc Dis 2009; 19:504-510. [PMID: 19179058 DOI: 10.1016/j.numecd.2008.10.004] [Citation(s) in RCA: 170] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2008] [Revised: 10/14/2008] [Accepted: 10/21/2008] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIM Vitamin K dependent proteins have been demonstrated to inhibit vascular calcification. Data on the effect of vitamin K intake on coronary heart disease (CHD) risk, however, are scarce. To examine the relationship between dietary vitamins K(1) and K(2) intake, and its subtypes, and the incidence of CHD. METHODS AND RESULTS We used data from the Prospect-EPIC cohort consisting of 16,057 women, enrolled between 1993 and 1997 and aged 49-70 years, who were free of cardiovascular diseases at baseline. Intake of vitamin K and other nutrients was estimated with a food frequency questionnaire. Multivariate Cox proportional hazards models were used to analyse the data. After a mean+/-SD follow-up of 8.1+/-1.6 years, we identified 480 incident cases of CHD. Mean vitamin K(1) intake was 211.7+/-100.3 microg/d and vitamin K(2) intake was 29.1+/-12.8 microg/d. After adjustment for traditional risk factors and dietary factors, we observed an inverse association between vitamin K(2) and risk of CHD with a Hazard Ratio (HR) of 0.91 [95% CI 0.85-1.00] per 10 microg/d vitamin K(2) intake. This association was mainly due to vitamin K(2) subtypes MK-7, MK-8 and MK-9. Vitamin K(1) intake was not significantly related to CHD. CONCLUSIONS A high intake of menoquinones, especially MK-7, MK-8 and MK-9, could protect against CHD. However, more research is necessary to define optimal intake levels of vitamin K intake for the prevention of CHD.
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Affiliation(s)
- G C M Gast
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
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Schrijvers E, Witteman JC, Sijbrands EJ, Hofman A, Koudstaal PJ, Breteler MM. P3‐134: Insulin metabolism and the risk of Alzheimer's disease: The Rotterdam Study. Alzheimers Dement 2009. [DOI: 10.1016/j.jalz.2009.04.1109] [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] [Indexed: 11/30/2022]
Affiliation(s)
| | | | | | - Albert Hofman
- University Medical Center RotterdamRotterdamNetherlands
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Kardys I, van Tiel CM, de Vries CJ, Pannekoek H, Uitterlinden AG, Hofman A, Witteman JC, de Maat MP. Haplotypes of theNR4A2/NURR1gene and cardiovascular disease: The Rotterdam Study. Hum Mutat 2009; 30:417-23. [DOI: 10.1002/humu.20902] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Geelhoed JM, Verburg BO, Nauta J, Lequin M, Hofman A, Moll HA, Witteman JC, van der Heijden AJ, Steegers EA, Jaddoe VW. Tracking and Determinants of Kidney Size From Fetal Life Until the Age of 2 Years: The Generation R Study. Am J Kidney Dis 2009; 53:248-58. [DOI: 10.1053/j.ajkd.2008.07.030] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2007] [Accepted: 07/15/2008] [Indexed: 11/11/2022]
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Heeringa J, Kors JA, Hofman A, van Rooij FJ, Witteman JC. Cigarette smoking and risk of atrial fibrillation: the Rotterdam Study. Am Heart J 2008; 156:1163-9. [PMID: 19033014 DOI: 10.1016/j.ahj.2008.08.003] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2008] [Accepted: 08/03/2008] [Indexed: 10/21/2022]
Abstract
BACKGROUND Cigarette smoking is an important risk factor for cardiovascular disease, but it is unknown whether it also contributes to the risk of atrial fibrillation. METHODS AND RESULTS The study is part of the Rotterdam Study, a population-based cohort study among subjects aged > or =55 years. The association between cigarette smoking and the risk of atrial fibrillation was examined in 5,668 subjects without atrial fibrillation at baseline. During a median follow-up of 7.2 years, 371 cases of atrial fibrillation were identified. Relative risks (RR) were calculated with 95% CIs using the Cox proportional hazards model, adjusted for age, gender, body mass index, hypertension, systolic blood pressure, serum cholesterol level, diabetes mellitus, left ventricular hypertrophy on the electrocardiogram, prevalent and incident myocardial infarction, prevalent heart failure, and the use of pulmonary medication. After multivariate adjustment, current smokers and former smokers had increased risks of atrial fibrillation as compared to never smokers (RR 1.51, 95% CI 1.07-2.12; and RR 1.49, 95% CI 1.14-1.97, respectively). No differences were found between men and women. CONCLUSIONS The results of this prospective, population-based study show that current and former smoking of cigarettes are associated with increased risk of atrial fibrillation.
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Müskens RP, Wolfs RC, Witteman JC, Hofman A, de Jong PT, Stricker BH, Jansonius NM. Topical β-Blockers and Mortality. Ophthalmology 2008; 115:2037-43. [DOI: 10.1016/j.ophtha.2008.07.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2008] [Revised: 05/30/2008] [Accepted: 07/10/2008] [Indexed: 10/21/2022] Open
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Fowkes FGR, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE, Folsom AR, Hirsch AT, Dramaix M, deBacker G, Wautrecht JC, Kornitzer M, Newman AB, Cushman M, Sutton-Tyrrell K, Fowkes FGR, Lee AJ, Price JF, d'Agostino RB, Murabito JM, Norman PE, Jamrozik K, Curb JD, Masaki KH, Rodríguez BL, Dekker JM, Bouter LM, Heine RJ, Nijpels G, Stehouwer CDA, Ferrucci L, McDermott MM, Stoffers HE, Hooi JD, Knottnerus JA, Ogren M, Hedblad B, Witteman JC, Breteler MMB, Hunink MGM, Hofman A, Criqui MH, Langer RD, Fronek A, Hiatt WR, Hamman R, Resnick HE, Guralnik J, McDermott MM. Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA 2008; 300:197-208. [PMID: 18612117 PMCID: PMC2932628 DOI: 10.1001/jama.300.2.197] [Citation(s) in RCA: 1350] [Impact Index Per Article: 84.4] [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] [Indexed: 11/14/2022]
Abstract
CONTEXT Prediction models to identify healthy individuals at high risk of cardiovascular disease have limited accuracy. A low ankle brachial index (ABI) is an indicator of atherosclerosis and has the potential to improve prediction. OBJECTIVE To determine if the ABI provides information on the risk of cardiovascular events and mortality independently of the Framingham risk score (FRS) and can improve risk prediction. DATA SOURCES Relevant studies were identified. A search of MEDLINE (1950 to February 2008) and EMBASE (1980 to February 2008) was conducted using common text words for the term ankle brachial index combined with text words and Medical Subject Headings to capture prospective cohort designs. Review of reference lists and conference proceedings, and correspondence with experts was conducted to identify additional published and unpublished studies. STUDY SELECTION Studies were included if participants were derived from a general population, ABI was measured at baseline, and individuals were followed up to detect total and cardiovascular mortality. DATA EXTRACTION Prespecified data on individuals in each selected study were extracted into a combined data set and an individual participant data meta-analysis was conducted on individuals who had no previous history of coronary heart disease. RESULTS Sixteen population cohort studies fulfilling the inclusion criteria were included. During 480,325 person-years of follow-up of 24,955 men and 23,339 women, the risk of death by ABI had a reverse J-shaped distribution with a normal (low risk) ABI of 1.11 to 1.40. The 10-year cardiovascular mortality in men with a low ABI (< or = 0.90) was 18.7% (95% confidence interval [CI], 13.3%-24.1%) and with normal ABI (1.11-1.40) was 4.4% (95% CI, 3.2%-5.7%) (hazard ratio [HR], 4.2; 95% CI, 3.3-5.4). Corresponding mortalities in women were 12.6% (95% CI, 6.2%-19.0%) and 4.1% (95% CI, 2.2%-6.1%) (HR, 3.5; 95% CI, 2.4-5.1). The HRs remained elevated after adjusting for FRS (2.9 [95% CI, 2.3-3.7] for men vs 3.0 [95% CI, 2.0-4.4] for women). A low ABI (< or = 0.90) was associated with approximately twice the 10-year total mortality, cardiovascular mortality, and major coronary event rate compared with the overall rate in each FRS category. Inclusion of the ABI in cardiovascular risk stratification using the FRS would result in reclassification of the risk category and modification of treatment recommendations in approximately 19% of men and 36% of women. CONCLUSION Measurement of the ABI may improve the accuracy of cardiovascular risk prediction beyond the FRS.
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Ikram MA, van Oijen M, de Jong FJ, Kors JA, Koudstaal PJ, Hofman A, Witteman JC, Breteler MM. Unrecognized Myocardial Infarction in Relation to Risk of Dementia and Cerebral Small Vessel Disease. Stroke 2008; 39:1421-6. [DOI: 10.1161/strokeaha.107.501106] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- M. Arfan Ikram
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Marieke van Oijen
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Frank Jan de Jong
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Jan A. Kors
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Peter J. Koudstaal
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Albert Hofman
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Jacqueline C.M. Witteman
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Monique M.B. Breteler
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
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van Woudenbergh GJ, Vliegenthart R, van Rooij FJ, Hofman A, Oudkerk M, Witteman JC, Geleijnse JM. Coffee Consumption and Coronary Calcification. Arterioscler Thromb Vasc Biol 2008; 28:1018-23. [DOI: 10.1161/atvbaha.107.160457] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background—
The role of coffee in the cardiovascular system is not yet clear. We examined the relation of coffee intake with coronary calcification in a population-based cohort.
Methods and Results—
The study involved 1570 older men and women without coronary heart disease who participated in the Rotterdam Study. Coffee intake was assessed with a semiquantitative food frequency questionnaire. Coronary calcification was detected with electron beam computed tomography. Severe calcification was defined as an Agatson calcium score >400. Sex-specific odds ratios (ORs) with 95% confidence intervals (95% CI) were obtained by logistic regression with adjustment for age, smoking, body mass index, education, and intake of energy and alcohol. In multivariable analysis, coronary calcification in women was significantly reduced for moderate (>3 to 4 cups) and high (>4 cups) coffee intake, compared with a daily intake of 3 cups or less (OR of 0.41 [95% CI: 0.25 to 0.65] and 0.54 [0.33 to 0.87], respectively). The association persisted after additional adjustment for tea and other dietary confounders, and was not modified by smoking. A nonsignificant inverse relationship was also found in men who smoked, whereas in nonsmoking men a direct association was observed.
Conclusion—
The present study suggests a beneficial effect of coffee drinking against coronary calcification, particularly in women. More research is needed to confirm these findings and to clarify possible effect modification by gender and smoking.
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Affiliation(s)
- Geertruida J. van Woudenbergh
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Rozemarijn Vliegenthart
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Frank J.A. van Rooij
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Albert Hofman
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Matthijs Oudkerk
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Jacqueline C.M. Witteman
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
| | - Johanna M. Geleijnse
- From the Division of Human Nutrition (G.J.v.W., J.M.G.), Wageningen University; the Department of Epidemiology & Biostatistics (G.J.v.W., R.V., F.J.A.v.R., A.H., M.O., J.C.M.W.), Erasmus MC Rotterdam; and the Department of Radiology (R.V., M.O.), University Medical Center Groningen; The Netherlands
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Affiliation(s)
- Bero O. Verburg
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vincent W.V. Jaddoe
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Juriy W. Wladimiroff
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Albert Hofman
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jacqueline C.M. Witteman
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Eric A.P. Steegers
- From The Generation R Study Group (B.O.V., V.W.V.J.), Department of Epidemiology and Biostatistics (B.O.V., V.W.V.J., A.H., J.C.M.W.), Department of Obstetrics and Gynecology (B.O.V., J.W.W., E.A.P.S.), and Department of Pediatrics (V.W.V.J.), Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
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van Rijn MJE, Bos MJ, Isaacs A, Yazdanpanah M, Arias-Vásquez A, Stricker BHC, Klungel OH, Oostra BA, Koudstaal PJ, Witteman JC, Hofman A, Breteler MMB, van Duijn CM. Polymorphisms of the renin-angiotensin system are associated with blood pressure, atherosclerosis and cerebral white matter pathology. J Neurol Neurosurg Psychiatry 2007; 78:1083-7. [PMID: 17220293 PMCID: PMC2117548 DOI: 10.1136/jnnp.2006.109819] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND The renin-angiotensin system is involved in the development of hypertension, atherosclerosis and cardiovascular disease. We studied the association between the M235T polymorphism of the angiotensinogen gene (AGT) and the C573T polymorphism of the angiotensin II type 1 receptor (AT1R) and blood pressure, carotid atherosclerosis and cerebrovascular disease. METHODS We genotyped over 6000 subjects from the Rotterdam Study and more than 1000 subjects from the Rotterdam Scan Study. We used logistic regression and univariate analyses, adjusting for age and sex with, for AGT, the MM and, for AT1R, the TT genotype as reference. RESULTS We found that AGT-235T increased systolic (p for trend = 0.03) and diastolic blood pressure (p for trend = 0.04). The prevalence of carotid plaques was increased 1.25-fold (95% CI 1.02-1.52) in AGT-TT carriers. There was a significant increase in mean volume deep subcortical white matter lesions (WML) for AGT-TT carriers (1.78 ml vs 1.09 ml in the reference group; p = 0.008). A significant interaction was found between AGT and AT1R, further increasing the effect on periventricular and subtotal WML (p for interaction = 0.02). We found a non-significant increased risk of silent brain infarction for AGT-TT carriers and AT1R-CC carriers, but no effect on stroke. CONCLUSION We found an association between AGT and blood pressure, atherosclerosis and WML. Also, we found synergistic effects between AGT and AT1R on the development of WML. These findings raise the question of whether the renin-angiotensin system may be a therapeutic target for the prevention of cerebral white matter pathology.
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Affiliation(s)
- M J E van Rijn
- Department of Epidemiology and Biostatistics, Erasmus Medical Centre, PO Box 1738, 3000 DR Rotterdam, The Netherlands
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Ikram MK, Witteman JC, Vingerling JR, Breteler MM, Hofman A, de Jong PT. Response to Are Narrower or Wider Retinal Venules Associated With Incident Hypertension? Hypertension 2006. [DOI: 10.1161/01.hyp.0000231653.74701.6b] [Citation(s) in RCA: 7] [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: 11/16/2022]
Affiliation(s)
- M. Kamran Ikram
- Department of Epidemiology and Biostatistics, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jacqueline C.M. Witteman
- Department of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Johannes R. Vingerling
- Department of Epidemiology and Biostatistics, and Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Monique M.B. Breteler
- Department of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Paulus T.V.M. de Jong
- Department of Epidemiology and Biostatistics, and Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands, and The Netherlands Institute for Neurosciences, Royal Netherlands Academy of Arts and Sciences, the Netherlands, and the Department of Opthamology Academic Medical Center, Amsterdam, the Netherlands
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Visscher TL, Seidell JC, Molarius A, van der Kuip D, Hofman A, Witteman JC. A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. Int J Obes (Lond) 2001; 25:1730-5. [PMID: 11753597 DOI: 10.1038/sj.ijo.0801787] [Citation(s) in RCA: 259] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2000] [Revised: 04/10/2001] [Accepted: 04/20/2001] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To compare body mass index (BMI), waist-hip ratio (WHR) and waist circumference as predictors of all-cause mortality among the elderly. DESIGN Population-based cohort study; mean follow-up was 5.4 y. SETTING The Rotterdam Study. PARTICIPANTS A total of 6296 men and women; baseline age 55-102 y. MEASUREMENTS Sex-specific all-cause mortality was compared between quintiles of BMI, WHR and waist circumference and between predefined categories of BMI and waist circumference, stratified for smoking category. RESULTS High quintiles of waist circumference, but not high quintiles of BMI and WHR were related to increased mortality among never smoking men, without reaching statistical significance. Only the highest category of BMI (BMI>30 kg/m2) among never smoking men was related to increased mortality, compared to normal BMI (hazard ratio 2.6 (95% confidence interval: 1.3-5.3)). Waist circumference between 94 and 102 cm and waist circumference 102 cm and larger were related to increased mortality, compared to normal waist circumference (hazard ratios 1.7 (95% confidence interval 1.1-2.8) and 1.6 (95% confidence interval 1.0-2.8), respectively). The proportion of mortality attributable to large waist circumference among never smoking men was three-fold the proportion attributable to high BMI. Among never smoking women and ex- and current smokers, categories of large body fatness did not predict increased mortality. CONCLUSION Among never smoking elderly men waist circumference may have more potential for detecting overweight than the BMI.
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Affiliation(s)
- T L Visscher
- Department of Epidemiology and Biostatistics, Erasmus University Medical School, Rotterdam, The Netherlands.
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Humphries KH, Westendorp IC, Bots ML, Spinelli JJ, Carere RG, Hofman A, Witteman JC. Parity and carotid artery atherosclerosis in elderly women: The Rotterdam Study. Stroke 2001; 32:2259-64. [PMID: 11588310 DOI: 10.1161/hs1001.097224] [Citation(s) in RCA: 77] [Impact Index Per Article: 3.3] [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: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE It has been postulated that physiological changes in the cardiovascular system, lipids, and glucose metabolism during pregnancy may increase subsequent risk of cardiovascular disease. Examination of the association between parity and risk factors for atherosclerosis may contribute information regarding possible mechanisms. METHODS The relationship of parity with cardiovascular risk factors and the presence of carotid atherosclerosis was examined in the Rotterdam Study, a population-based study comprising 4878 women aged 55 years and older. Carotid atherosclerosis was assessed by ultrasonographic detection of plaques in the common carotid artery and bifurcation. Logistic regression models were used to compute odds ratios and 95% confidence intervals, adjusted for confounding factors. RESULTS Parity was inversely associated with high-density lipoprotein cholesterol, and alcohol intake. Parity was positively associated with body mass index, total/HDL cholesterol ratio, insulin resistance, age at menopause, and socioeconomic status. Relative to nulliparous women, parous women had 36% (9% to 71%) greater risk of carotid atherosclerosis, rising to 64% in women with >/=4 children (19% to 127%). Adjustment for known cardiovascular risk factors, including insulin resistance and current lipid levels, did not diminish the magnitude of this association. CONCLUSIONS Data demonstrated that there is a positive association between parity and risk of carotid artery plaques in elderly women and, further, that high parity is associated with lower HDL cholesterol levels and higher glucose/insulin ratios long after childbearing has ceased.
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Affiliation(s)
- K H Humphries
- Centre for Health Evaluation and Outcome Sciences, St Paul's Hospital, Vancouver, Canada
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Hak AE, Bak AA, Lindemans J, Planellas J, Coelingh Bennink HJ, Hofman A, Grobbee DE, Witteman JC. The effect of hormone replacement therapy on serum homocysteine levels in perimenopausal women: a randomized controlled trial. Atherosclerosis 2001; 158:437-43. [PMID: 11583724 DOI: 10.1016/s0021-9150(01)00449-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Serum homocysteine levels may be lowered by hormone replacement therapy, but randomized controlled trial data are scarce. We performed a single center randomized placebo-controlled trial to assess the 6 months effect of hormone replacement therapy compared with placebo on fasting serum homocysteine levels in 121 perimenopausal women free of cardiovascular disease, and recruited from the general population. The trial was double-blind with respect to a sequential combined regimen of oral 17 beta-estradiol and desogestrel (17 beta E(2)-D) and the placebo group and open with respect to a combination of conjugated equine estrogens and norgestrel (CEE-N). At baseline and after 6 months, fasting serum homocysteine levels were measured. Differences in 6 months serum homocysteine levels from baseline between treatment and placebo groups were calculated, and expressed as a percentage of the 6 months placebo level. After 6 months, the difference in serum homocysteine levels between women receiving 17 beta E(2)-D and placebo was -6.3% (95% CI, -12.4%; 0.0%, P=0.06). The difference between women receiving CEE-N and placebo was -10.1% (95% CI, -16.7%; -2.9%, P<0.01). The difference between the combined group of both types of hormone replacement therapy users and placebo was -7.8% (95% CI, -13.2%; -2.0%, P=0.01). No significant difference was observed between the two active regimens. Our results indicate that hormone replacement therapy decreases homocysteine levels in perimenopausal women.
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Affiliation(s)
- A E Hak
- Department of Epidemiology & Biostatistics, Erasmus University Medical School, PO Box 1738, 3000 DR Rotterdam, The Netherlands
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Ossewaarde ME, Bots ML, Bak AA, Van Der Schouw YT, Witteman JC, Planellas J, Bennink HJ, Grobbee DE. Effect of hormone replacement therapy on lipids in perimenopausal and early postmenopausal women. Maturitas 2001; 39:209-16. [PMID: 11574180 DOI: 10.1016/s0378-5122(01)00224-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [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: 11/23/2022]
Abstract
OBJECTIVE To determine the effects of oral sequential hormone replacement therapy (HRT) on lipid-profile in perimenopausal and early postmenopausal women. METHODS We performed a single-center, randomized, placebo-controlled trial. The trial was double blind with respect to 17beta-estradiol/desogestrel (17beta-E-D) and placebo and open with respect to conjugated estrogens/norgestrel (CEE-N). A total of 125 healthy perimenopausal and early postmenopausal women, aged 43-58 years, were recruited from the general population in Zoetermeer, the Netherlands. The intervention consisted of 6 months treatment with 1.5 mg 17beta-estradiol/0.15 mg desogestrel (n=53), 0.625 mg conjugated estrogens/0.15 mg norgestrel (n=36) or placebo (n=36). At baseline, cycle 1, 3 and 6, overnight fasting blood samples were obtained in which lipids were determined. We used linear regression analysis to calculate differences in mean change from baseline in lipids in the active treatment groups compared to placebo. RESULTS In both treatment groups significant (P<0.05) falls in low-density-lipoprotein (LDL)-cholesterol (17beta-E-D: -7.8% and CEE-N: -8.4%) and lipoprotein(a) (17beta-E-D: -11.7% and CEE-N: -28.3%) were found compared to placebo. Apolipoprotein A1 (17beta-E-D: 6.8% and CEE-N: 7.3%) and HDL-cholesterol (17beta-E-D: 6.4% and CEE-N: 8.0%) significantly increased compared to placebo. No significant changes were found in the other lipids. Mean changes from baseline in total cholesterol, LDL-cholesterol and apolipoprotein B were significantly more pronounced in postmenopausal women compared to perimenopausal women, adjustment for age-differences did not change the results. CONCLUSION Treatment of perimenopausal and early postmenopausal women with 17beta-E-D or CEE-N changes their lipid-profile in a potentially anti-atherogenic direction. Changes appear to be more pronounced in postmenopausal women compared to perimenopausal women.
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Affiliation(s)
- M E Ossewaarde
- Julius Center for Patient Oriented Research, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Hak AE, Pols HA, Stehouwer CD, Meijer J, Kiliaan AJ, Hofman A, Breteler MM, Witteman JC. Markers of inflammation and cellular adhesion molecules in relation to insulin resistance in nondiabetic elderly: the Rotterdam study. J Clin Endocrinol Metab 2001; 86:4398-405. [PMID: 11549682 DOI: 10.1210/jcem.86.9.7873] [Citation(s) in RCA: 95] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Insulin resistance, which is highly prevalent in the elderly, is suggested to be accompanied by an increased acute phase response. Until now, it is unclear whether cellular adhesion molecules are involved in the clustering of insulin resistance. In the present study, we examined the relationship of insulin resistance (measured by postload insulin) with levels of markers of inflammation and cellular adhesion molecules in a random sample of 574 nondiabetic elderly men and women participating in the Rotterdam Study. Associations were assessed by regression analysis, with ln-insulin as the dependent variable [regression coefficient (95% confidence interval)]. In our population, insulin was strongly and significantly (P < 0.001) associated with the markers of inflammation C-reactive protein [1.52 (0.96-2.08)], alpha-1-antichymotrypsin [1.25 (0.82-1.69)], and IL-6 [2.60 (1.69-3.52)], adjusted for age and gender. Associations weakened, to some extent, after additional adjustment for measures of obesity, smoking, and cardiovascular disease. Insulin was associated with the soluble intercellular adhesion molecule 1 [2.22 (1.29-3.16; P < 0.001)], whereas no association with the soluble vascular cell adhesion molecule 1 was found. The strength of the associations of insulin with C-reactive protein, alpha-1-antichymotrypsin, IL-6, and soluble intercellular adhesion molecule 1, as assessed by standardized regression coefficients, was comparable with the strength of the associations of insulin with high-density lipoprotein cholesterol, body mass index, and waist-to-hip ratio. The results of this population-based study indicate that low-grade inflammation and the cellular adhesion molecule soluble intercellular adhesion molecule 1 are an integral part of insulin resistance in nondiabetic elderly. These factors may contribute to the well-known relationship between insulin resistance and cardiovascular disease risk and might potentially become therapeutic targets in insulin resistant subjects.
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Affiliation(s)
- A E Hak
- Department of Epidemiology & Biostatistics, Erasmus Medical Center Rotterdam, 3000 DR Rotterdam, The Netherlands
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Slooter AJ, Bots ML, Havekes LM, del Sol AI, Cruts M, Grobbee DE, Hofman A, Van Broeckhoven C, Witteman JC, van Duijn CM. Apolipoprotein E and carotid artery atherosclerosis: the Rotterdam study. Stroke 2001; 32:1947-52. [PMID: 11546879 DOI: 10.1161/hs0901.095377] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.3] [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: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Carotid artery atherosclerosis is a strong predictor for future stroke. It is yet unclear whether the apolipoprotein E polymorphism (APOE) is related to atherosclerosis in the carotid arteries. The aim of the present study was to investigate the role of APOE in carotid artery atherosclerosis. METHODS A population-based cross-sectional study was performed on 5401 subjects. Atherosclerosis was noninvasively assessed by the common carotid artery intima-media wall thickness and the presence of plaques in the carotid arteries. The relationship of the 6 APOE genotypes with these 2 indicators was studied with linear and logistic regression analysis, respectively, with adjustments for age and sex. RESULTS Carriers of the E2E3 genotype had a thinner intima-media wall thickness (mean difference, -0.02 mm; 95% CI, -0.03 to -0.01 mm) and fewer plaques (odds ratio for >3 plaques at 6 sites, 0.6; 95% CI, 0.4 to 0.8) than the most common group, E3E3. The E4E4 group had slightly more atherosclerosis, but this was not statistically significant. Adjusting for the level of the apolipoprotein E protein (apoE) in serum or total or HDL cholesterol did not essentially change these findings. CONCLUSIONS Our results suggest that APOE*4 is not an important risk factor for carotid artery atherosclerosis. The inverse relationship of E2E3 with carotid artery atherosclerosis seems to be independent of serum apoE and total and HDL cholesterol levels. However, the low frequency, together with the small effects, implies that any protective effect of E2E3 on carotid artery atherosclerosis is limited.
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Affiliation(s)
- A J Slooter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
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Hulsman CA, Westendorp IC, Ramrattan RS, Wolfs RC, Witteman JC, Vingerling JR, Hofman A, de Jong PT. Is open-angle glaucoma associated with early menopause? The Rotterdam Study. Am J Epidemiol 2001; 154:138-44. [PMID: 11447046 DOI: 10.1093/aje/154.2.138] [Citation(s) in RCA: 97] [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: 11/14/2022] Open
Abstract
The authors examined the association between age at menopause and open-angle glaucoma among women aged > or = 55 years in the population-based Rotterdam Study (1990--1993). Information on age and type of menopause was obtained by interview. Subjects (n = 3,078) were stratified into three categories according to age at menopause: <45 years, 45--49 years, and > or = 50 years, with the last group serving as the reference group. Diagnosis of open-angle glaucoma was based on the presence of a glaucomatous visual field defect and glaucomatous optic neuropathy. Open-angle glaucoma was diagnosed in 78 women with a natural menopause and 15 women with an artificial menopause. In the category of natural menopause, women who went through menopause before reaching the age of 45 years had a higher risk of open-angle glaucoma than the reference group (odds ratio = 2.6; 95% confidence interval: 1.5, 4.8), after adjustment for age and use of hormone replacement therapy. Among women who went through menopause between the ages of 45 and 49 years, the odds ratio was 1.1 (95% confidence interval: 0.7, 2.0). These findings suggest that early menopause is associated with a higher risk of open-angle glaucoma.
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Affiliation(s)
- C A Hulsman
- The Netherlands Ophthalmic Research Institute, Amsterdam, the Netherlands
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Klipstein-Grobusch K, den Breeijen JH, Grobbee DE, Boeing H, Hofman A, Witteman JC. Dietary antioxidants and peripheral arterial disease : the Rotterdam Study. Am J Epidemiol 2001; 154:145-9. [PMID: 11447047 DOI: 10.1093/aje/154.2.145] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.3] [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: 11/14/2022] Open
Abstract
This study examined cross-sectionally the association of dietary beta-carotene, vitamin C, and vitamin E with peripheral arterial disease in Rotterdam, the Netherlands (1990--1993). The 4,367 subjects from the Rotterdam Study were aged 55--94 years and had no previous cardiovascular disease at baseline. Diet was assessed with a food frequency questionnaire. Peripheral arterial disease was defined as an ankle-arm systolic blood pressure index (AAI) of < or = 0.9 and was present in 204 men and 370 women. In multivariate-adjusted logistic regression analyses, vitamin C intake was significantly inversely associated with peripheral arterial disease in women (highest vs. lowest quartile: relative risk = 0.64, 95% confidence interval (CI): 0.48, 0.89; p(trend) = 0.006), and a 100-mg increase in intake was associated with a 0.013 AAI increase (95% CI: 0.001, 0.025). In men, vitamin E intake was inversely associated with peripheral arterial disease (relative risk = 0.67, 95% CI: 0.44, 1.03; p(trend) = 0.067); a 10-mg increase in intake was associated with a 0.015 AAI increase (95% CI: 0.001, 0.031). Whether these differences in antioxidant intake and the risk of a low AAI and of peripheral arterial disease between sexes are attributable to a different food pattern for men compared with women remains to be elucidated.
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Affiliation(s)
- K Klipstein-Grobusch
- Department of Epidemiology and Biostatistics, Erasmus University Medical School, Rotterdam, the Netherlands
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del Sol AI, Moons KG, Hollander M, Hofman A, Koudstaal PJ, Grobbee DE, Breteler MM, Witteman JC, Bots ML. Is carotid intima-media thickness useful in cardiovascular disease risk assessment? The Rotterdam Study. Stroke 2001; 32:1532-8. [PMID: 11441197 DOI: 10.1161/01.str.32.7.1532] [Citation(s) in RCA: 168] [Impact Index Per Article: 7.3] [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: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We determined the contribution of common carotid intima-media thickness (IMT) in the prediction of future coronary heart disease and cerebrovascular disease when added to established risk factors. METHODS We used data from a nested case-control study comprising 374 subjects with either an incident stroke or a myocardial infarction and 1496 controls. All subjects were aged 55 years and older and participated in the Rotterdam Study. Mean follow-up was 4.2 years (range, 0.1 to 6.5 years). We evaluated which correlates of coronary heart disease and cerebrovascular disease contribute to the prediction of either a new incident myocardial infarction or a stroke. Logistic regression modeling and the area under the receiver operating characteristic curve (ROC area) were used to quantify the predictive value of the established risk factors and the added value of IMT. RESULTS The ROC area of a model with age and sex only was 0.65 (95% CI, 0.62 to 0.69). Independent risk factors were previous myocardial infarction and stroke, diabetes mellitus, smoking, systolic blood pressure, diastolic blood pressure, and total and HDL cholesterol levels. These risk factors increased the ROC area from 0.65 to 0.72 (95% CI, 0.69 to 0.75). This model correctly predicted 17% of all subjects with coronary heart disease and cerebrovascular disease. When common carotid IMT was added to the previous model, the ROC area increased to 0.75 (95% CI, 0.72 to 0.78). When only the IMT measurement was used, the ROC area was 0.71 (95% CI, 0.68 to 0.74), and 14% of all subjects were correctly predicted. There was no difference in ROC area when different measurement sites were used. CONCLUSIONS Adding IMT to a risk function for coronary heart disease and cerebrovascular disease does not result in a substantial increase in the predictive value when used as a screening tool.
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Affiliation(s)
- A I del Sol
- Department of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands
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Geerlings MI, Ruitenberg A, Witteman JC, van Swieten JC, Hofman A, van Duijn CM, Breteler MM, Launer LJ. Reproductive period and risk of dementia in postmenopausal women. JAMA 2001; 285:1475-81. [PMID: 11255424 DOI: 10.1001/jama.285.11.1475] [Citation(s) in RCA: 98] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Exogenous estrogen use may lower risk of dementia in postmenopausal women. A relationship between long-term exposure to endogenous estrogens and incident dementia has been hypothesized but not studied. OBJECTIVE To determine whether a longer reproductive period, as an indicator of longer exposure to endogenous estrogens, is associated with lower risk of dementia and Alzheimer disease (AD) in women who have natural menopause. DESIGN AND SETTING The Rotterdam Study, a population-based prospective cohort study conducted in the Netherlands. PARTICIPANTS A total of 3601 women aged 55 years or older who did not have dementia at baseline (1990-1993) and had information on age at menarche, age at menopause, and type of menopause. Participants were reexamined in 1993-1994 and 1997-1999 and were continuously monitored for development of dementia. MAIN OUTCOME MEASURES Incidence of dementia, based on Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition criteria, and AD, based on National Institute of Neurological Disorders and Stroke/Alzheimer's Disease and Related Disorders Association criteria, compared by quartiles of reproductive period among women with natural menopause. RESULTS During 21 046 person-years of follow-up (median follow-up, 6.3 years), 199 women developed dementia, including 159 who developed AD. After adjusting for age, dementia was not clearly associated with length of reproductive period. However, after adjusting for multiple covariates, women with natural menopause and more reproductive years had an increased risk of dementia (adjusted rate ratio [RR] for women with >39 reproductive years [highest quartile] compared with <34 reproductive years [lowest quartile], 1.78; 95% confidence interval [CI], 1.12-2.84). The adjusted RR per year of increase was 1.04 (95% CI, 1.01-1.08). For risk of AD, the adjusted RRs were 1.51 (95% CI, 0.91-2.50) and 1.03 (95% CI, 1.00-1.07), respectively. Risk of dementia associated with a longer reproductive period was most pronounced in APOE epsilon4 carriers (adjusted RR for >39 reproductive years compared with <34 reproductive years, 4.20 [95% CI, 1.97-8.92] for dementia and 3.42 [95% CI, 1.51-7.75] for AD), whereas in noncarriers, no clear association with dementia or AD was observed. CONCLUSION Our findings do not support the hypothesis that a longer reproductive period reduces risk of dementia in women who have natural menopause.
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Affiliation(s)
- M I Geerlings
- Department of Epidemiology and Biostatistics, Erasmus University Medical Center, PO Box 1738, 3000 DR Rotterdam, the Netherlands.
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Vaessen N, Heutink P, Janssen JA, Witteman JC, Testers L, Hofman A, Lamberts SW, Oostra BA, Pols HA, van Duijn CM. A polymorphism in the gene for IGF-I: functional properties and risk for type 2 diabetes and myocardial infarction. Diabetes 2001; 50:637-42. [PMID: 11246885 DOI: 10.2337/diabetes.50.3.637] [Citation(s) in RCA: 226] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Evidence is accumulating that low levels of IGF-I play a role in the pathogenesis of type 2 diabetes and cardiovascular diseases. We examined the role of a genetic polymorphism in the promoter region of the IGF-I gene in relation to circulating IGF-I levels and growth measured as body height, and we studied the relationship of this polymorphism with type 2 diabetes and myocardial infarction. The relation between the IGF-I polymorphism and body height was assessed in a population-based sample of 900 subjects from the Rotterdam Study. Within each genotype stratum, 50 subjects were randomly selected for a study of the relation of this polymorphism with serum IGF-I levels. To assess the risk for type 2 diabetes, we studied 220 patients and 596 normoglycemic control subjects. For myocardial infarction, 477 patients with evidence of myocardial infarction on electrocardiogram and 808 control subjects were studied. A 192-bp allele was present in 88% of the population, suggesting that this is the wild-type allele from which all other alleles originated. Body height was, on average, 2.7 cm lower (95% CI for difference -4.6 to -0.8 cm, P = 0.004), and serum IGF-I concentrations were 18% lower (95% CI for difference -6.0 to -1.3 mmol/l, P = 0.003) in subjects who did not carry the 192-bp allele. In noncarriers of the 192-bp allele, an increased relative risk for type 2 diabetes (1.7 [95% CI 1.1-2.7]) and for myocardial infarction (1.7 [95% CI 1.1-2.5]) was found. In patients with type 2 diabetes, the relative risk for myocardial infarction in subjects without the 192-bp allele was 3.4 (95% CI 1.1-11.3). Our study suggests that a genetically determined exposure to relatively low IGF-I levels is associated with an increased risk for type 2 diabetes and myocardial infarction.
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Affiliation(s)
- N Vaessen
- Department of Epidemiology and Biostatistics, the Center for Biomedical Genetics, Rotterdam, The Netherlands
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van Popele NM, Grobbee DE, Bots ML, Asmar R, Topouchian J, Reneman RS, Hoeks AP, van der Kuip DA, Hofman A, Witteman JC. Association between arterial stiffness and atherosclerosis: the Rotterdam Study. Stroke 2001; 32:454-60. [PMID: 11157182 DOI: 10.1161/01.str.32.2.454] [Citation(s) in RCA: 749] [Impact Index Per Article: 32.6] [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: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Studies of the association between arterial stiffness and atherosclerosis are contradictory. We studied stiffness of the aorta and the common carotid artery in relation to several indicators of atherosclerosis. METHODS This study was conducted within the Rotterdam Study in >3000 elderly subjects aged 60 to 101 years. Aortic stiffness was assessed by measuring carotid-femoral pulse wave velocity, and common carotid artery stiffness was assessed by measuring common carotid distensibility. Atherosclerosis was assessed by common carotid intima-media thickness, plaques in the carotid artery and in the aorta, and the presence of peripheral arterial disease. Data were analyzed by ANCOVA with adjustment for age, sex, mean arterial pressure, and heart rate. RESULTS Both aortic and common carotid artery stiffness were found to have a strong positive association with common carotid intima-media thickness, severity of plaques in the carotid artery, and severity of plaques in the aorta (P: for trend <0.01 for all associations). Subjects with peripheral arterial disease had significantly increased aortic stiffness (P:=0.001) and borderline significantly increased common carotid artery stiffness (P:=0.08) compared with subjects without peripheral arterial disease. Results were similar after additional adjustment for cardiovascular risk factors and after exclusion of subjects with prevalent cardiovascular disease. CONCLUSIONS This population-based study shows that arterial stiffness is strongly associated with atherosclerosis at various sites in the vascular tree.
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Affiliation(s)
- N M van Popele
- Department of Epidemiology and Biostatistics, Erasmus Medical Center Rotterdam (Netherlands)
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