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Hershey MS, Sotos-Prieto M, Andrieu S, Hofman A, Magiatis P, Martinez-Gonzalez MA, Yannakoulia M, Kales S, Scarmeas N. Prevention of Alzheimer's Disease and Cognitive Decline with Diet and Lifestyle: Proceedings of the A. G. Leventis Foundation Conference. J Prev Alzheimers Dis 2022; 10:137-143. [PMID: 36641619 DOI: 10.14283/jpad.2022.99] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The A. G. Leventis Foundation International Conference, "Prevention of Alzheimer's Disease and Cognitive Decline with Diet and Lifestyle", was held on May 11-12th, 2022 in Nicosia, Cyprus. This conference examined the role of diet and lifestyle for the prevention and treatment of Alzheimer's Disease and other forms of cognitive decline. Speakers from leading academic institutions presented evidence on healthy dietary patterns, with a particular focus on the traditional Mediterranean diet (MedDiet), in association with cognitive outcomes, mainly cognitive decline, dementia, and Alzheimer's disease, from both observational and interventional studies. Moreover, future directions for the potential use of olive oil, rich in polyphenols, for its therapeutic use as a nutraceutical, as well as nutritional interventions with high-quality dietary patterns (i.e. MedDiet) that support existing primarily observational evidence for the prevention of cognitive decline, as well as challenges in designing rigorous clinical trials are summarized and discussed within the conference proceedings.
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Affiliation(s)
- M S Hershey
- Stefanos N. Kales, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA,
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Hofman P, Ilié M, Chamorey E, Brest P, Schiappa R, Nakache V, Antoine M, Barberis M, Begueret H, Bibeau F, Bonnetaud C, Boström P, Brousset P, Bubendorf L, Carvalho L, Cathomas G, Cazes A, Chalabreysse L, Chenard MP, Copin MC, Côté JF, Damotte D, de Leval L, Delongova P, Thomas de Montpreville V, de Muret A, Dema A, Dietmaier W, Evert M, Fabre A, Forest F, Foulet A, Garcia S, Garcia-Martos M, Gibault L, Gorkiewicz G, Jonigk D, Gosney J, Hofman A, Kern I, Kerr K, Kossai M, Kriegsmann M, Lassalle S, Long-Mira E, Lupo A, Mamilos A, Matěj R, Meilleroux J, Ortiz-Villalón C, Panico L, Panizo A, Papotti M, Pauwels P, Pelosi G, Penault-Llorca F, Pop O, Poté N, Cajal SRY, Sabourin JC, Salmon I, Sajin M, Savic-Prince S, Schildhaus HU, Schirmacher P, Serre I, Shaw E, Sizaret D, Stenzinger A, Stojsic J, Thunnissen E, Timens W, Troncone G, Werlein C, Wolff H, Berthet JP, Benzaquen J, Marquette CH, Hofman V, Calabrese F. Clinical and molecular practice of European thoracic pathology laboratories during the COVID-19 pandemic. The past and the near future. ESMO Open 2020; 6:100024. [PMID: 33399086 PMCID: PMC7780004 DOI: 10.1016/j.esmoop.2020.100024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/19/2020] [Accepted: 11/21/2020] [Indexed: 12/18/2022] Open
Abstract
Background This study evaluated the consequences in Europe of the COVID-19 outbreak on pathology laboratories orientated toward the diagnosis of thoracic diseases. Materials and methods A survey was sent to 71 pathology laboratories from 21 European countries. The questionnaire requested information concerning the organization of biosafety, the clinical and molecular pathology, the biobanking, the workload, the associated research into COVID-19, and the organization of education and training during the COVID-19 crisis, from 15 March to 31 May 2020, compared with the same period in 2019. Results Questionnaires were returned from 53/71 (75%) laboratories from 18 European countries. The biosafety procedures were heterogeneous. The workload in clinical and molecular pathology decreased dramatically by 31% (range, 3%-55%) and 26% (range, 7%-62%), respectively. According to the professional category, between 28% and 41% of the staff members were not present in the laboratories but did teleworking. A total of 70% of the laboratories developed virtual meetings for the training of residents and junior pathologists. During the period of study, none of the staff members with confirmed COVID-19 became infected as a result of handling samples. Conclusions The COVID-19 pandemic has had a strong impact on most of the European pathology laboratories included in this study. Urgent implementation of several changes to the organization of most of these laboratories, notably to better harmonize biosafety procedures, was noted at the onset of the pandemic and maintained in the event of a new wave of infection occurring in Europe. Biosafety measures used in the first wave of the COVID-19 crisis were heterogeneous in 53 European pathology laboratories. A dramatic decrease of the workload in pathology laboratories was noted. No case of healthcare workers contaminated with SARS-CoV-2 associated with samples handling was identified.
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Affiliation(s)
- P Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France.
| | - M Ilié
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - E Chamorey
- Epidemiology and Biostatistics Unit, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France
| | - P Brest
- Team 4, IRCAN, INSERM, CNRS, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France
| | - R Schiappa
- Epidemiology and Biostatistics Unit, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France
| | - V Nakache
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - M Antoine
- Department of Pathology, Hôpital Tenon, AP-HP, Paris, France
| | - M Barberis
- Unit of Histopathology and Molecular Diagnostics, Division of Pathology, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - H Begueret
- Department of Pathology, University Hospital of Bordeaux, Bordeaux, France
| | - F Bibeau
- Department of Pathology, CHU de Caen, Université de Caen Normandie, Caen, France
| | - C Bonnetaud
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - P Boström
- Department of Pathology, Turku University Hospital, Turku, Finland
| | - P Brousset
- Department of Pathology, IUC-T-Oncopole, Inserm U1037 CRCT, Université de Toulouse, Toulouse, France
| | - L Bubendorf
- Institute of Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - L Carvalho
- Institute of Anatomical and Molecular Pathology and University Hospital, University of Coimbra, Coimbra, Portugal
| | - G Cathomas
- Institute of Pathology, Cantonal Hospital Baselland, Liestal, Switzerland
| | - A Cazes
- Department of Pathology, Bichat Hospital, AP-HP, Inserm UMR 1152, Université de Paris, Paris, France
| | - L Chalabreysse
- Department of Pathology, Groupement Hospitalier Est, Hospices Civils de Lyon, Lyon, France
| | - M-P Chenard
- Department of Pathology, University Hospital of Strasbourg, Strasbourg, France
| | - M-C Copin
- Institut de Pathologie, CHU Lille, Université de Lille, Lille, France
| | - J-F Côté
- Department of Pathology, Institut Mutualiste Montsouris, Paris, France
| | - D Damotte
- Department of Pathology, Hôpitaux Universitaires Paris Centre, Hôpital Cochin, Inserm U1138, Université de Paris, Paris, France
| | - L de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - P Delongova
- Institute of Pathology, University Hospital Ostrava, Ostrava, Czech Republic
| | | | - A de Muret
- Department of Pathology, University Hospital of Tours, Tours, France
| | - A Dema
- Department of Pathology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | - W Dietmaier
- Institute of Pathology, University of Regensburg, Regensburg, Germany
| | - M Evert
- Institute of Pathology, University of Regensburg, Regensburg, Germany
| | - A Fabre
- Department of Histopathology, St Vincent's University Hospital, University College Dublin School of Medicine, Dublin, Ireland
| | - F Forest
- Department of Pathology, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - A Foulet
- Department of Pathology, Centre Hospitalier, Le Mans, France
| | - S Garcia
- Department of Pathology, Hôpital Nord, AP-HM, Aix Marseille University, Marseille, France
| | - M Garcia-Martos
- Pulmonary Pathology Department, Gregorio Marañon University Hospital, Madrid, Spain
| | - L Gibault
- Department of Pathology, Hôpital Européen Georges Pompidou, AP-HP, Université de Paris, Paris, France
| | - G Gorkiewicz
- Institute of Pathology, Medical University of Graz, Graz, Austria
| | - D Jonigk
- Institute of Pathology, German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease Hannover, Hannover Medical School, Hannover, Germany
| | - J Gosney
- Liverpool University Hospitals, Royal Liverpool University Hospital, Liverpool, UK
| | - A Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - I Kern
- Department of Pathology, University Clinic Golnik, Golnik, Slovenia
| | - K Kerr
- Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - M Kossai
- Department of Pathology and Molecular Pathology, Centre Jean Perrin, Clermont-Ferrand, France
| | - M Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, and German Center for Lung Research (DZL), Germany
| | - S Lassalle
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - E Long-Mira
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - A Lupo
- Department of Pathology, Hôpitaux Universitaires Paris Centre, Hôpital Cochin, Inserm U1138, Université de Paris, Paris, France
| | - A Mamilos
- Institute of Pathology, University of Regensburg, Regensburg, Germany
| | - R Matěj
- Department of Pathology and Molecular Medicine, Third Faculty of Medicine, Charles University, Thomayer Hospital and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - J Meilleroux
- Department of Pathology, IUC-T-Oncopole, Inserm U1037 CRCT, Université de Toulouse, Toulouse, France
| | - C Ortiz-Villalón
- Department of Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - L Panico
- Unit of Pathology, Azienda Ospedaliera dei Colli, Monaldi-Cotugno-CTO, Naples, Italy
| | - A Panizo
- Department of Pathology, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - M Papotti
- Department of Oncology, University of Torino, Torino, Italy
| | - P Pauwels
- Centre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium
| | - G Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, and IRCCS MultiMedica, Milan, Italy
| | - F Penault-Llorca
- Department of Pathology and Molecular Pathology, Centre Jean Perrin, Clermont-Ferrand, France
| | - O Pop
- Department of Pathology, University of Oradea, Oradea, Romania
| | - N Poté
- Department of Pathology, Bichat Hospital, AP-HP, Inserm UMR 1152, Université de Paris, Paris, France
| | - S R Y Cajal
- Department of Pathology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - J-C Sabourin
- Department of Pathology, Inserm 1245, Rouen University Hospital Normandy University, Rouen, France
| | - I Salmon
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - M Sajin
- Department of Pathology, Emergency University Hospital, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - S Savic-Prince
- Institute of Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - H-U Schildhaus
- Institute of Pathology, University Hospital Essen, Essen, Germany
| | - P Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, and German Center for Lung Research (DZL), Germany
| | - I Serre
- Department of Biopathology, Gui de Chauliac Hospital, Montpellier University Hospital, Montpellier, France
| | - E Shaw
- Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - D Sizaret
- Department of Pathology, University Hospital of Tours, Tours, France
| | - A Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, and German Center for Lung Research (DZL), Germany
| | - J Stojsic
- Department of Thoracic Pathology, Service of Pathology, University Clinical Centre of Serbia, Belgrade, Serbia
| | - E Thunnissen
- Department of Pathology, Amsterdam University Medical Centres, Location VUmc, Amsterdam, The Netherlands
| | - W Timens
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - G Troncone
- Department of Public Health, University of Naples Frederico II, Naples, Italy
| | - C Werlein
- Institute of Pathology, German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease Hannover, Hannover Medical School, Hannover, Germany
| | - H Wolff
- Laboratory of Pathology, Finnish Institute of Occupational Health, Helsinki, Finland
| | - J-P Berthet
- Department of Thoracic Surgery, FHU OnoAge, Louis Pasteur Hospital, University Côte d'Azur, Nice, France
| | - J Benzaquen
- Department of Pneumology, FHU OncoAge, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - C-H Marquette
- Department of Pneumology, FHU OncoAge, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - V Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, BB-0033-00025, Louis Pasteur Hospital, IRCAN, Université Côte d'Azur, Nice, France
| | - F Calabrese
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Pathological Anatomy Section, University of Padova Medical School, Padova, Italy
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Lamb D, Hofman A, Clark J, Hughes A, Sukhera A. Taking a seat at the table: an educational model for nursing empowerment. Int Nurs Rev 2019; 67:118-126. [DOI: 10.1111/inr.12549] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 07/05/2019] [Accepted: 07/19/2019] [Indexed: 11/30/2022]
Affiliation(s)
- D. Lamb
- Academic Department of Military NursingRoyal Centre for Defence Medicine, Medical Directorate, Birmingham Research ParkBirmingham UK
| | | | - J. Clark
- Headquarters 2 Medical Brigade Army Medical Services Training Centre York UK
| | - A. Hughes
- Royal Centre for Defence Medicine, Medical Directorate, Birmingham Research Park BirminghamUK
| | - A.M. Sukhera
- Pakistan Army Medical Corps and Director General Medical Services (Inter‐Services) Rawalpindi Pakistan
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Darweesh SKL, Ikram MK, Faber MJ, de Vries NM, Haaxma CA, Hofman A, Koudstaal PJ, Bloem BR, Ikram MA. Professional occupation and the risk of Parkinson's disease. Eur J Neurol 2018; 25:1470-1476. [PMID: 30007105 PMCID: PMC6282552 DOI: 10.1111/ene.13752] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 07/10/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE Creativity in Parkinson's disease (PD) is strongly related to dopaminergic activity and medication. We hypothesized that patients with PD, including those who are in the pre-diagnostic phase of PD, are prone to choose highly structured 'conventional' professional occupations and avoid highly creative 'artistic' occupations. METHODS At baseline of the population-based Rotterdam Study, we asked 12 147 individuals aged ≥45 years about their latest occupation and categorized occupations according to the RIASEC model. Participants underwent baseline and follow-up (median 11 years) examinations for PD. We determined associations of artistic (versus any other occupation) and conventional (versus any other occupation) occupations with PD. Additionally, we pooled our results with a recently published case-control study (Radboud Study). RESULTS At baseline, conventional occupations were common [n = 4356 (36%)], whereas artistic occupations were rare [n = 137 (1%)]. There were 217 patients with PD, including 91 with prevalent PD and 126 with incident PD. The risk of PD varied substantially across occupational categories (chi-square, 14.61; P = 0.01). The penalized odds ratio (OR) of artistic occupations for PD was 0.19 [95% confidence interval (CI), 0.00-1.31; P = 0.11], whereas the OR of conventional occupations for PD was 1.23 (95% CI, 0.95-1.66; P = 0.10). The direction and magnitude of ORs were similar in cross-sectional and longitudinal subsamples. Pooled ORs across the Rotterdam and Radboud Studies were 0.20 (95% CI, 0.08-0.52; P < 0.001) for artistic and 1.23 (95% CI, 0.92-1.67; P = 0.08) for conventional occupations. CONCLUSIONS The risk of PD varies substantially by choice of professional occupation. Our findings suggest that dopaminergic degeneration affects choice of occupation, which may start in the pre-diagnostic phase of PD.
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Affiliation(s)
- S K L Darweesh
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Parkinson Center Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M K Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M J Faber
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Parkinson Center Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands
| | - N M de Vries
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Parkinson Center Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands
| | - C A Haaxma
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Parkinson Center Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - P J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - B R Bloem
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Parkinson Center Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Abstract
SummaryAs evidence accumulates to implicate fibrinogen as a risk indicator for cardiovascular disease, it is of interest to study its seasonal variation. A population based cross-sectional study was performed among participants of the Rotterdam Study, a cohort of 7,983 men and women, aged 55 years and over. Fibrinogen levels were measured by the prothrombin time derived method in the first 2,325 participants of the study. Fibrinogen levels were considerably higher in winter. The seasonal difference was 0.34 g/1 (95% confidence interval 0.29,0.39) and was more pronounced in subjects aged 75 years and over than in subjects aged 55 to 75 years, 0.43 g/1 (0.34,0.52) and 0.29 g/1 (0.24,0.35), respectively. Additional adjustment for body mass index, systolic and diastolic blood pressure, and total and HDL cholesterol did not materially change the findings. After adjustment for seasons, outdoor temperature was not associated with fibrinogen. Adjustment for outdoor temperature did not change the seasonal variation of fibrinogen, seasonal difference 0.31 g/1 (0.24, 0.37). In conclusion, fibrinogen levels are highest in Winter. The seasonal variation of fibrinogen is more pronounced in the elderly. Outdoor temperature does not seem to play a role in the seasonal variation of fibrinogen. Seasonal variation of fibrinogen may partly explain the increased cardiovascular disease mortality in Winter.
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Affiliation(s)
- J G van der Bom
- The Department of Epidemiology & Biostatistics, Erasmus University Medical School and the Netherlands Institute for Health Sciences, Erasmus University Medical School Rotterdam, The Netherlands
- Gaubius Laboratory TNO Prevention and Health, Leiden, The Netherlands
| | - M P M de Maat
- Gaubius Laboratory TNO Prevention and Health, Leiden, The Netherlands
| | - M L Bots
- The Department of Epidemiology & Biostatistics, Erasmus University Medical School and the Netherlands Institute for Health Sciences, Erasmus University Medical School Rotterdam, The Netherlands
- Julius Center for Patient Oriented Research, Utrecht Univeristy, Utrecht, The Netherlands
| | - A Hofman
- The Department of Epidemiology & Biostatistics, Erasmus University Medical School and the Netherlands Institute for Health Sciences, Erasmus University Medical School Rotterdam, The Netherlands
| | - C Kluft
- Gaubius Laboratory TNO Prevention and Health, Leiden, The Netherlands
| | - D E Grobbee
- The Department of Epidemiology & Biostatistics, Erasmus University Medical School and the Netherlands Institute for Health Sciences, Erasmus University Medical School Rotterdam, The Netherlands
- Julius Center for Patient Oriented Research, Utrecht Univeristy, Utrecht, The Netherlands
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Huckins LM, Hatzikotoulas K, Southam L, Thornton LM, Steinberg J, Aguilera-McKay F, Treasure J, Schmidt U, Gunasinghe C, Romero A, Curtis C, Rhodes D, Moens J, Kalsi G, Dempster D, Leung R, Keohane A, Burghardt R, Ehrlich S, Hebebrand J, Hinney A, Ludolph A, Walton E, Deloukas P, Hofman A, Palotie A, Palta P, van Rooij FJA, Stirrups K, Adan R, Boni C, Cone R, Dedoussis G, van Furth E, Gonidakis F, Gorwood P, Hudson J, Kaprio J, Kas M, Keski-Rahonen A, Kiezebrink K, Knudsen GP, Slof-Op 't Landt MCT, Maj M, Monteleone AM, Monteleone P, Raevuori AH, Reichborn-Kjennerud T, Tozzi F, Tsitsika A, van Elburg A, Collier DA, Sullivan PF, Breen G, Bulik CM, Zeggini E. Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 2018; 23:1169-1180. [PMID: 29155802 PMCID: PMC5828108 DOI: 10.1038/mp.2017.88] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/16/2017] [Accepted: 02/17/2017] [Indexed: 12/12/2022]
Abstract
Anorexia nervosa (AN) is a complex neuropsychiatric disorder presenting with dangerously low body weight, and a deep and persistent fear of gaining weight. To date, only one genome-wide significant locus associated with AN has been identified. We performed an exome-chip based genome-wide association studies (GWAS) in 2158 cases from nine populations of European origin and 15 485 ancestrally matched controls. Unlike previous studies, this GWAS also probed association in low-frequency and rare variants. Sixteen independent variants were taken forward for in silico and de novo replication (11 common and 5 rare). No findings reached genome-wide significance. Two notable common variants were identified: rs10791286, an intronic variant in OPCML (P=9.89 × 10-6), and rs7700147, an intergenic variant (P=2.93 × 10-5). No low-frequency variant associations were identified at genome-wide significance, although the study was well-powered to detect low-frequency variants with large effect sizes, suggesting that there may be no AN loci in this genomic search space with large effect sizes.
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Affiliation(s)
- L M Huckins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - K Hatzikotoulas
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L Southam
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L M Thornton
- Department of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - J Steinberg
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - F Aguilera-McKay
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - J Treasure
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - U Schmidt
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - C Gunasinghe
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - A Romero
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - C Curtis
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - D Rhodes
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - J Moens
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G Kalsi
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - D Dempster
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - R Leung
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - A Keohane
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - R Burghardt
- Klinik für Kinder- und Jugendpsychiatrie, Psychotherapie und Psychosomatik Klinikum Frankfurt, Frankfurt, Germany
| | - S Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Eating Disorders Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - J Hebebrand
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - A Hinney
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - A Ludolph
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
| | - E Walton
- Division of Psychological & Social Medicine and Developmental Neurosciences, Technische Universität Dresden, Faculty of Medicine, University Hospital C.G. Carus, Dresden, Germany
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - P Deloukas
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - A Hofman
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Center for Human Genome Research at the Massachusetts General Hospital, Boston, MA, USA
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - P Palta
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - F J A van Rooij
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K Stirrups
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - R Adan
- Brain Center Rudolf Magnus, Department of Neuroscience and Pharmacology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C Boni
- INSERM U984, Centre of Psychiatry and Neuroscience, Paris, France
| | - R Cone
- Mary Sue Coleman Director, Life Sciences Institute, Professor of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - G Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, Athens, Greece
| | - E van Furth
- Rivierduinen Eating Disorders Ursula, Leiden, Zuid-Holland, The Netherlands
| | - F Gonidakis
- Eating Disorders Unit, 1st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - P Gorwood
- INSERM U984, Centre of Psychiatry and Neuroscience, Paris, France
| | - J Hudson
- Department of Psychiatry, McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - J Kaprio
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - M Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - A Keski-Rahonen
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - K Kiezebrink
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - G-P Knudsen
- Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | | | - M Maj
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - A M Monteleone
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - P Monteleone
- Department of Medicine and Surgery, Section of Neurosciences, University of Salerno, Salerno, Italy
| | - A H Raevuori
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - T Reichborn-Kjennerud
- Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - F Tozzi
- eHealth Lab-Computer Science Department, University of Cyprus, Nicosia, Cyprus
| | - A Tsitsika
- Adolescent Health Unit (A.H.U.), 2nd Department of Pediatrics – Medical School, University of Athens "P. & A. Kyriakou" Children's Hospital, Athens, Greece
| | - A van Elburg
- Center for Eating Disorders Rintveld, University of Utrecht, Utrecht, The Netherlands
| | - D A Collier
- Eli Lilly and Company, Erl Wood Manor, Windlesham, UK
| | - P F Sullivan
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - G Breen
- Social Genetic and Developmental Psychiatry, King's College London, London, UK
| | - C M Bulik
- Department of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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7
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Saberi Hosnijeh F, Kavousi M, Boer CG, Uitterlinden AG, Hofman A, Reijman M, Oei EHG, Bierma-Zeinstra SM, van Meurs JBJ. Development of a prediction model for future risk of radiographic hip osteoarthritis. Osteoarthritis Cartilage 2018; 26:540-546. [PMID: 29382605 DOI: 10.1016/j.joca.2018.01.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/27/2017] [Accepted: 01/18/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To develop and validate a prognostic model for incident radiologic hip osteoarthritis (HOA) and determine the value of previously identified predictive factors. DESIGN We first validated previously reported predictive factors for HOA by performing univariate and multivariate analyses for all predictors in three large prospective cohorts (total sample size of 4548 with 653 incident cases). The prognostic model was developed in 2327 individuals followed for 10 years from the Rotterdam Study-I (RS-I) cohort. External validation of the model was tested on discrimination in two other cohorts: RS-II (n = 1435) and the Cohort Hip and Cohort Knee (CHECK) study (n = 786). RESULTS From the total number of 28 previously reported predictive factors, we were able to replicate 13 factors, while 15 factors were not significantly predictive in a meta-analysis of the three cohorts. The basic model including the demographic, questionnaire, and clinical examination variables (area under the receiver-operating characteristic curve (AUC) = 0.67) or genetic markers (AUC = 0.55) or urinary C-terminal cross-linked telopeptide of type II collagen (uCTX-II) levels (AUC = 0.67) alone were poor predictors of HOA in all cohorts. Imaging factors showed the highest predictive value for the development of HOA (AUC = 0.74). Addition of imaging variables to the basic model led to substantial improvement in the discriminative ability of the model (AUC = 0.78) compared with uCTX-II (AUC = 0.74) or genetic markers (AUC = 0.68). Applying external validation, similar results were observed in the RS-II and the CHECK cohort. CONCLUSIONS The developed prediction model included demographic, a limited number of questionnaire, and imaging risk factors seems promising for prediction of HOA.
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Affiliation(s)
- F Saberi Hosnijeh
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - M Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - C G Boer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - M Reijman
- Department of Orthopedics, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - E H G Oei
- Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S M Bierma-Zeinstra
- Department of General Practice, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - J B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
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8
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Seyerle AA, Sitlani CM, Noordam R, Gogarten SM, Li J, Li X, Evans DS, Sun F, Laaksonen MA, Isaacs A, Kristiansson K, Highland HM, Stewart JD, Harris TB, Trompet S, Bis JC, Peloso GM, Brody JA, Broer L, Busch EL, Duan Q, Stilp AM, O'Donnell CJ, Macfarlane PW, Floyd JS, Kors JA, Lin HJ, Li-Gao R, Sofer T, Méndez-Giráldez R, Cummings SR, Heckbert SR, Hofman A, Ford I, Li Y, Launer LJ, Porthan K, Newton-Cheh C, Napier MD, Kerr KF, Reiner AP, Rice KM, Roach J, Buckley BM, Soliman EZ, de Mutsert R, Sotoodehnia N, Uitterlinden AG, North KE, Lee CR, Gudnason V, Stürmer T, Rosendaal FR, Taylor KD, Wiggins KL, Wilson JG, Chen YD, Kaplan RC, Wilhelmsen K, Cupples LA, Salomaa V, van Duijn C, Jukema JW, Liu Y, Mook-Kanamori DO, Lange LA, Vasan RS, Smith AV, Stricker BH, Laurie CC, Rotter JI, Whitsel EA, Psaty BM, Avery CL. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 2018; 18:215-226. [PMID: 28719597 PMCID: PMC5773415 DOI: 10.1038/tpj.2017.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/14/2017] [Accepted: 03/09/2017] [Indexed: 12/23/2022]
Abstract
Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.
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Affiliation(s)
- A A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - C M Sitlani
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Noordam
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S M Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - M A Laaksonen
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - A Isaacs
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- CARIM School of Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - K Kristiansson
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - H M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - J D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - G M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - L Broer
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Q Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - A M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - C J O'Donnell
- Department of Medicine, Harvard University, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Cardiology Section, Boston Veterans Administration Healthcare, Boston, MA, USA
| | - P W Macfarlane
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - J S Floyd
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J A Kors
- Department of Medical Informatics, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - T Sofer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - S R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Y Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - L J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - K Porthan
- Division of Cardiology, Heart and Lung Center, Helsinki University Central Hospital, Helsinki, Finland
| | - C Newton-Cheh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - E Z Soliman
- Epidemiology Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - C R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - T Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - J G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Y-Di Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - K Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- The Renaissance Computing Institute, Chapel Hill, NC, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - V Salomaa
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - C van Duijn
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of BESC, Epidemiology Section, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - L A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - R S Vasan
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine and Epidemiology, Department of Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - B H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Inspectorate of Health Care, Utrecht, The Netherlands
| | - C C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - B M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - C L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
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9
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Ordóñez-Mena JM, Walter V, Schöttker B, Jenab M, O'Doherty MG, Kee F, Bueno-de-Mesquita B, Peeters PHM, Stricker BH, Ruiter R, Hofman A, Söderberg S, Jousilahti P, Kuulasmaa K, Freedman ND, Wilsgaard T, Wolk A, Nilsson LM, Tjønneland A, Quirós JR, van Duijnhoven FJB, Siersema PD, Boffetta P, Trichopoulou A, Brenner H. Impact of prediagnostic smoking and smoking cessation on colorectal cancer prognosis: a meta-analysis of individual patient data from cohorts within the CHANCES consortium. Ann Oncol 2018; 29:472-483. [PMID: 29244072 PMCID: PMC6075220 DOI: 10.1093/annonc/mdx761] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background Smoking has been associated with colorectal cancer (CRC) incidence and mortality in previous studies and might also be associated with prognosis after CRC diagnosis. However, current evidence on smoking in association with CRC prognosis is limited. Patients and methods For this individual patient data meta-analysis, sociodemographic and smoking behavior information of 12 414 incident CRC patients (median age at diagnosis: 64.3 years), recruited within 14 prospective cohort studies among previously cancer-free adults, was collected at baseline and harmonized across studies. Vital status and causes of death were collected for a mean follow-up time of 5.1 years following cancer diagnosis. Associations of smoking behavior with overall and CRC-specific survival were evaluated using Cox regression and standard meta-analysis methodology. Results A total of 5229 participants died, 3194 from CRC. Cox regression revealed significant associations between former [hazard ratio (HR) = 1.12; 95 % confidence interval (CI) = 1.04-1.20] and current smoking (HR = 1.29; 95% CI = 1.04-1.60) and poorer overall survival compared with never smoking. Compared with current smoking, smoking cessation was associated with improved overall (HR<10 years = 0.78; 95% CI = 0.69-0.88; HR≥10 years = 0.78; 95% CI = 0.63-0.97) and CRC-specific survival (HR≥10 years = 0.76; 95% CI = 0.67-0.85). Conclusion In this large meta-analysis including primary data of incident CRC patients from 14 prospective cohort studies on the association between smoking and CRC prognosis, former and current smoking were associated with poorer CRC prognosis compared with never smoking. Smoking cessation was associated with improved survival when compared with current smokers. Future studies should further quantify the benefits of nonsmoking, both for cancer prevention and for improving survival among CRC patients, in particular also in terms of treatment response.
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Affiliation(s)
- J M Ordóñez-Mena
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - V Walter
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - B Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany; Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - M Jenab
- International Agency for Research on Cancer (IARC), Lyon, France
| | - M G O'Doherty
- UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - F Kee
- UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - B Bueno-de-Mesquita
- Department of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands; Division of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - P H M Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - S Söderberg
- Department of Public Health and Clinical Medicine, Cardiology, and Heart Center, Umeå University, Umeå, Sweden
| | - P Jousilahti
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - K Kuulasmaa
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - N D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, USA
| | - T Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - A Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - L M Nilsson
- Nutritional Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Arcum, Arctic Research Centre at Umeå University, Umeå, Sweden
| | - A Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - J R Quirós
- Public Health Directorate, Asturias, Spain
| | | | - P D Siersema
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - P Boffetta
- Hellenic Health Foundation, Athens, Greece; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - A Trichopoulou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
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10
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Koolhaas CM, Dhana K, van Rooij FJA, Schoufour JD, Hofman A, Franco OH. Physical Activity Types and Health-Related Quality of Life among Middle-Aged and Elderly Adults: The Rotterdam Study. J Nutr Health Aging 2018; 22:246-253. [PMID: 29380852 DOI: 10.1007/s12603-017-0902-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVES Physical activity (PA) is associated with health-related quality of life (HRQL). The specific PA types that provide beneficial effects in an older population remain unclear. We assessed the association of total PA, walking, cycling, domestic work, sports and gardening with HRQL in middle-aged and elderly adults. DESIGN Cross-sectional study. SETTING Rotterdam, the Netherlands. PARTICIPANTS 5,554 participants, with a mean age of 69 years. MEASUREMENTS Total PA was categorized in five groups to evaluate the dose-response effect of PA and specific PA types were categorized in tertiles. HRQL was measured with the EuroQoL 5-dimension. The outcome of every HRQL domain (i.e. mobility, self-care, daily activities, pain and mood) was expressed as having any problems versus not having problems. Logistic and linear regression analyses were used, adjusting for confounders, to examine associations of total PA and PA types with HRQL domains. RESULTS In both middle-aged (<65 years) and elderly adults (>65 years), we found a dose-response association between total PA and better HRQL (i.e. lower odds of having problems in HRQL domains). In the middle-aged, sports was the only PA type associated with lower odds of having problems with all HRQL domains. In the elderly, all PA types were associated with less problems with HRQL domains, but cycling contributed most to the beneficial effect. CONCLUSIONS Total PA was associated with better HRQL. Sports and cycling were the activity types that contributed most to this association in the middle-aged and elderly, respectively. Since PA levels tend to decline with aging, cycling and sports should be promoted with the aim to improve HRQL.
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Affiliation(s)
- C M Koolhaas
- Chantal M. Koolhaas, MSc, Department of Epidemiology - Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands, Tel. +31 10 7043484,
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11
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Bots ML, Haverkate F, Meijer P, Hofman A, Kluft C, Grobbee DE, van der Bom JG. Activation Products of the Haemostatic System in Coronary, Cerebrovascular and Peripheral Arterial Disease. Thromb Haemost 2017. [DOI: 10.1055/s-0037-1615700] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
SummaryTo determine the presence of a ‘hypercoagulable state’ as assessed by indices of thrombin and plasmin generation and of the amount of fibrin that is lysed, in patients with stable coronary, cerebral and peripheral arterial disease a population-based cross-sectional study was performed. From a population-based cohort comprising 7983 men and women aged 55 years and over, we randomly selected 127 subjects with a history of myocardial infarction, 124 with a history of stroke and/or transient ischemic attack, 131 patients with peripheral arterial disease and 263 control subjects in the same age group without arterial disease. Subjects using anticoagulant drugs were not selected. F1+2, TAT, and PAP were not associated with a history of cardiovascular events, nor with peripheral arterial disease. In contrast, positive associations were found for D-Dimer. Mean D-Dimer level was 40 μg/l (95% CI 35,44) in control subjects; 53 μg/l (47, 61) in those with a history of myocar-dial infarction and 51 μg/l (45, 58) in those with a history of stroke and or transient ischemic attack. D-Dimer increased gradually with increasing severity of peripheral atherosclerosis; a decrease in ankle/arm systolic blood pressure ratio of 0.1 was associated with an increase in D-Dimer of 3.9 μg/l (p<0.01). This was more pronounced in subjects with higher F1+2, TAT and PAP concentration. In conclusion, the markers of onset of coagulation F1+2, TAT and PAP are not associated with the presence of arterial disease, but increased levels of these markers are necessary for the positive association between D-Dimer and arterial disease.
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12
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Tak ECPM, van Meurs JB, Bierma-Zeinstra SMA, Hofman A, Hopman-Rock M. Changes in disability in older adults with generalized radiographic osteoarthritis: A complex relationship with physical activity. Musculoskeletal Care 2017; 15:364-372. [PMID: 28394082 DOI: 10.1002/msc.1182] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
OBJECTIVE The aim of the present study was to report on factors associated with changes in disability after 5 years, with a focus on physical activity (PA) in community-dwelling older adults with generalized radiographic osteoarthritis (GROA). METHODS Assessment of GROA (hand, knee, hip) and disability (Health Assessment Questionnaire) in the Rotterdam Study (cohort RS-1, N = 7,983; with GROA, n = 821). A good outcome at follow-up was defined as improved or mild disability, and a poor outcome as worsened or severe disability. Factors potentially associated with outcome were demographics, joint complaints, other chronic health problems or limitations (body mass index, number of chronic conditions, cognition), and level of different types of PA. Some of these assessments were repeated in between 1997 and 1999 (RS-3), and between 2002 and 2004 (RS-4). RESULTS A total of 309 older adults with GROA and valid measures on RS-3 and RS-4 showed mild to moderate disability, with minor increases over 5 years (follow-up N = 287 RS-3 to RS-4). PA levels decreased with increasing disability, especially in sport and walking. PA was univariately associated with a better outcome at follow-up but when adjusted for other factors (higher age, having knee pain and stiffness, and having more than two other chronic conditions) was associated with negative changes in general and lower limb disability, although not with upper limb disability. CONCLUSIONS This was the first study to report that community-dwelling older adults with GROA show moderate levels of disability, and that reduced levels of disability are associated with higher levels of PA, but when adjusted for other confounders this association is lost. Further research is needed to study the complex relationships between PA and other determinants of disability.
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Affiliation(s)
- E C P M Tak
- Netherlands Organization for Applied Scientific Research, TNO, Research Center Body@Work TNO VUmc, Leiden, the Netherlands
| | - J B van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - S M A Bierma-Zeinstra
- Department of General Practice, Erasmus Medical Centre, Rotterdam, the Netherlands
- Department of Orthopaedics, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - M Hopman-Rock
- Netherlands Organization for Applied Scientific Research, TNO, Research Center Body@Work TNO VUmc, Leiden, the Netherlands
- Department of Public and Occupational Health/EMGO Institute for Health and Care Research (EMGO+), VU University Medical Center, Amsterdam, the Netherlands
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13
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Smedinga H, Verkouteren JAC, Steyerberg EW, Hofman A, Nijsten T, Vergouwe Y. Occurrence of metachronous basal cell carcinomas: a prognostic model. Br J Dermatol 2017; 177:1113-1121. [PMID: 28664573 DOI: 10.1111/bjd.15771] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND A third of patients with a first basal cell carcinoma (BCC) will develop subsequent (metachronous) BCCs. OBJECTIVES To study the prognostic effect of the number of previous BCC diagnosis dates a patient has experienced to derive a prediction model to assess the risk of metachronous BCCs that may inform individualized decision making on surveillance. METHODS We considered participants of north-western European ancestry from a prospective population-based cohort study (Rotterdam Study). After linkage with the Dutch Pathology Registry, 1077 patients with a first BCC were included. Candidate predictors for metachronous BCCs included patient, lifestyle and tumour characteristics. The prognostic model was developed with Fine and Gray regression analysis to account for competing risk of death. We used bootstrapping to correct for within-patient correlation and statistical optimism in predictive performance. RESULTS Second to fifth BCCs occurred in 293, 122, 58 and 36 patients, with median follow-up times of 3·0, 2·1, 1·7 and 1·8 years after the previous BCC, respectively. The risk of a new BCC was higher for patients with more metachronous BCCs. Having more than one BCC at diagnosis was another strong predictor of metachronous BCCs. Discriminative ability of the model was reasonable with an optimism-corrected c-index of 0·70 at 3 years. CONCLUSIONS The number of previous BCC diagnosis dates was a strong prognostic factor and should be considered when predicting the risk of metachronous BCCs. When the number of previous BCC diagnosis dates is combined with other readily available characteristics into a prognostic model, patients at high risk of a new BCC can be identified.
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Affiliation(s)
- H Smedinga
- Department of Public Health, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - J A C Verkouteren
- Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - E W Steyerberg
- Department of Public Health, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - T Nijsten
- Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Y Vergouwe
- Department of Public Health, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
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Abstract
BACKGROUND Subjectively assessed health is related to mortality. Various subjective indicators of health have been studied, but it is unclear whether perceived physical functioning or mental health best accounts for the relation with mortality. METHOD We studied the relation of subjective measures of health with all-cause mortality in 5538 participants of age 55 to 96 years at baseline from the Rotterdam Study. Various instruments of subjectively assessed health were used, that included basic activities of daily living (BADL), instrumental activities of daily living (IADL), quality of life (QoL), positive affect, somatic symptoms and negative affect. All participants completed questionnaires for each subjective measure of health and were followed for mortality for a mean of 12.2 (s.e. = 0.09) years. Cox regression analysis was conducted in the total sample. RESULTS In this cohort, 2021 persons died during 48 534 person-years of follow-up. All measures of subjective health were related to mortality after adjusting for age, gender, education, cognition, prevalent chronic diseases and cardiovascular risk [BADL hazard ratio (HR, calculated per Z-score) = 1.35, 95% confidence interval (CI) 1.29-1.41; IADL HR = 1.27, 95% CI 1.22-1.32; QoL HR = 0.85, 95% CI 0.81-0.89; positive affect HR = 0.92, 95% CI 0.88-0.96; somatic symptoms HR = 1.11, 95% CI 1.06-1.16; and negative affect HR = 1.05, 95% CI 1.01-1.10]. In the mutually adjusted model, only BADL (HR = 1.24, 95% CI 1.16-1.32) and IADL (HR = 1.10, 95% CI 1.04-1.17) remained independently associated with mortality. CONCLUSIONS Measures of subjectively assessed health are important indicators of mortality. Our study shows that of the different measures of subjective health, perceived physical health predicts mortality over and above mental health. Conversely, the association between mental health and mortality may partly be explained by poor perceived physical health.
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Affiliation(s)
- A Sajjad
- Department of Epidemiology,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - R L Freak-Poli
- Department of Epidemiology,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - A Hofman
- Department of Epidemiology,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - S J Roza
- Department of Psychiatry,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - M A Ikram
- Department of Epidemiology,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - H Tiemeier
- Department of Epidemiology,Erasmus University Medical Center,Rotterdam,The Netherlands
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15
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Mujaj B, Bos D, Selwaness M, Leening M, Kavousi M, Wentzel J, Van Der Lugt A, Hofman A, Stricker B, Vernooij M, Franco O. P1406Statin use is associated with carotid plaque composition: The Rotterdam Study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx502.p1406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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16
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Leening M, Pavlovic J, Deckers J, Kavousi M, Hofman A, Ikram M, Greenland P, Franco O. 3098Assessing gaps in cholesterol treatment guidelines for primary prevention of cardiovascular disease using clinical trial evidence: results from the prospective population-based Rotterdam Study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx504.3098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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17
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de Jonge EAL, Koromani F, Hofman A, Uitterlinden AG, Franco OH, Rivadeneira F, Kiefte-de Jong JC. Dietary acid load, trabecular bone integrity, and mineral density in an ageing population: the Rotterdam study. Osteoporos Int 2017; 28:2357-2365. [PMID: 28405729 PMCID: PMC5524850 DOI: 10.1007/s00198-017-4037-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 03/31/2017] [Indexed: 11/25/2022]
Abstract
UNLABELLED We studied the relation between a diet that is high in acid-forming nutrients (e.g. proteins) and low in base-forming nutrients (e.g. potassium) and bone structure. We showed a negative relation, which was more prominent if proteins were of animal rather than of vegetable origin and if intake of dietary fibre was high. INTRODUCTION Studies on dietary acid load (DAL) and fractures have shown inconsistent results. Associations between DAL, bone mineral density (BMD) and trabecular bone integrity might play a role in these inconsistencies and might be influenced by renal function and dietary fibre intake. Therefore, our aim was to study (1) associations of DAL with BMD and with the trabecular bone score (TBS) and (2) the potential influence of renal function and dietary fibre in these associations. METHODS Dutch individuals aged 45 years and over (n = 4672) participating in the prospective cohort of the Rotterdam study were included. Based on food frequency questionnaires, three indices of DAL were calculated: the net endogenous acid production (NEAP) and the ratios of vegetable or animal protein and potassium (VegPro/K and AnPro/K). Data on lumbar spinal TBS and BMD were derived from dual-energy X-ray absorptiometry measurements. RESULTS Independent of confounders, NEAP and AnPro/K, but not VegPro/K, were associated with low TBS (standardized β (95%) = -0.04 (-0.07, -0.01) and -0.08 (-0.11, -0.04)) but not with BMD. Associations of AnPro/K and VegPro/K with TBS were non-linear and differently shaped. Unfavourable associations between NEAP, BMD and TBS were mainly present in subgroups with high fibre intake. CONCLUSIONS High NEAP was associated with low TBS. Associations of AnPro/K and VegPro/K and TBS were non-linear and differently shaped. No significant associations of DAL with BMD were observed, nor was there any significant interaction between DAL and renal function. Mainly in participants with high intake of dietary fibre, DAL might be detrimental to bone.
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Affiliation(s)
- E A L de Jonge
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical University Centre, Rotterdam, The Netherlands
| | - F Koromani
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical University Centre, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical University Centre, Rotterdam, The Netherlands
| | - O H Franco
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus Medical University Centre, Rotterdam, The Netherlands
| | - J C Kiefte-de Jong
- Department of Epidemiology, Erasmus Medical University Centre, Rotterdam, The Netherlands.
- Department of Global Public Health, Leiden University College, The Hague, The Netherlands.
- Department of Paediatrics, Erasmus MC, Rotterdam, The Netherlands.
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18
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de Jong K, Vonk JM, Imboden M, Lahousse L, Hofman A, Brusselle GG, Probst-Hensch NM, Postma DS, Boezen HM. Genes and pathways underlying susceptibility to impaired lung function in the context of environmental tobacco smoke exposure. Respir Res 2017; 18:142. [PMID: 28738859 PMCID: PMC5525356 DOI: 10.1186/s12931-017-0625-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 07/18/2017] [Indexed: 12/19/2022] Open
Abstract
Background Studies aiming to assess genetic susceptibility for impaired lung function levels upon exposure to environmental tobacco smoke (ETS) have thus far focused on candidate-genes selected based on a-priori knowledge of potentially relevant biological pathways, such as glutathione S-transferases and ADAM33. By using a hypothesis-free approach, we aimed to identify novel susceptibility loci, and additionally explored biological pathways potentially underlying this susceptibility to impaired lung function in the context of ETS exposure. Methods Genome-wide interactions of single nucleotide polymorphism (SNP) by ETS exposure (0 versus ≥1 h/day) in relation to the level of forced expiratory volume in one second (FEV1) were investigated in 10,817 subjects from the Dutch LifeLines cohort study, and verified in subjects from the Swiss SAPALDIA study (n = 1276) and the Dutch Rotterdam Study (n = 1156). SNP-by-ETS exposure p-values obtained from the identification analysis were used to perform a pathway analysis. Results Fourty Five SNP-by-ETS exposure interactions with p-values <10−4 were identified in the LifeLines study, two being replicated with nominally significant p-values (<0.05) in at least one of the replication cohorts. Three pathways were enriched in the pathway-level analysis performed in the identification cohort LifeLines, i.E. the apoptosis, p38 MAPK and TNF pathways. Conclusion This unique, first genome-wide gene-by-ETS interaction study on the level of FEV1 showed that pathways previously implicated in chronic obstructive pulmonary disease (COPD), a disease characterized by airflow obstruction, may also underlie susceptibility to impaired lung function in the context of ETS exposure. Electronic supplementary material The online version of this article (doi:10.1186/s12931-017-0625-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- K de Jong
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - J M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - L Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - G G Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - N M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - D S Postma
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H M Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands. .,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
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19
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Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, Cheung JW, van Erp TGM, Bos D, Ikram MA, Vernooij MW, Niessen WJ, Tiemeier H, Hofman A, Wittfeld K, Grabe HJ, Janowitz D, Bülow R, Selonke M, Völzke H, Grotegerd D, Dannlowski U, Arolt V, Opel N, Heindel W, Kugel H, Hoehn D, Czisch M, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Goya-Maldonado R, Gruber O, Krämer B, Hatton SN, Lagopoulos J, Hickie IB, Frodl T, Carballedo A, Frey EM, van Velzen LS, Penninx BWJH, van Tol MJ, van der Wee NJ, Davey CG, Harrison BJ, Mwangi B, Cao B, Soares JC, Veer IM, Walter H, Schoepf D, Zurowski B, Konrad C, Schramm E, Normann C, Schnell K, Sacchet MD, Gotlib IH, MacQueen GM, Godlewska BR, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Hall J, Sussmann JE, Li M, Walter M, Aftanas L, Brack I, Bokhan NA, Thompson PM, Veltman DJ. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry 2017; 22:900-909. [PMID: 27137745 PMCID: PMC5444023 DOI: 10.1038/mp.2016.60] [Citation(s) in RCA: 687] [Impact Index Per Article: 98.1] [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: 01/20/2016] [Revised: 02/25/2016] [Accepted: 03/17/2016] [Indexed: 12/20/2022]
Abstract
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - P G Sämann
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D Bos
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M W Vernooij
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - D Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - R Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - M Selonke
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), partner site Griefswald, Greifswald, Germany
- German Center for Diabetes Research (DZD), partner site Griefswald, Greifswald, Germany
| | - D Grotegerd
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - U Dannlowski
- Department of Psychiatry, University of Muenster, Muenster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - V Arolt
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - N Opel
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - W Heindel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - H Kugel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - D Hoehn
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - B Couvy-Duchesne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - M E Rentería
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - L T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - R Goya-Maldonado
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Göttingen, Germany
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - E M Frey
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M-J van Tol
- Neuroimaging Center, Section of Cognitive Neuropsychiatry, Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | - C G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B Mwangi
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Cao
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - D Schoepf
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - C Konrad
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum Rotenburg, Rotenburg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - K Schnell
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - M D Sacchet
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - I H Gotlib
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - G M MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cogntive Ageing and Cogntive Epidemiology, University of Edinburgh, Edinburg, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - J Hall
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Department of Psychiatry, NHS Borders, Melrose, UK
| | - M Li
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - M Walter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry, University Tübingen, Tübingen, Germany
| | - L Aftanas
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - I Brack
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - N A Bokhan
- Mental Health Research Institute, Tomsk, Russia
- Faculty of Psychology, National Research Tomsk State University, Tomsk, Russia
- Department of General Medicine, Siberian State Medical University, Tomsk, Russia
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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20
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Amin N, Jovanova O, Adams HHH, Dehghan A, Kavousi M, Vernooij MW, Peeters RP, de Vrij FMS, van der Lee SJ, van Rooij JGJ, van Leeuwen EM, Chaker L, Demirkan A, Hofman A, Brouwer RWW, Kraaij R, Willems van Dijk K, Hankemeier T, van Ijcken WFJ, Uitterlinden AG, Niessen WJ, Franco OH, Kushner SA, Ikram MA, Tiemeier H, van Duijn CM. Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms. Mol Psychiatry 2017; 22:537-543. [PMID: 27431295 DOI: 10.1038/mp.2016.101] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 04/19/2016] [Accepted: 04/20/2016] [Indexed: 11/09/2022]
Abstract
Despite a substantial genetic component, efforts to identify common genetic variation underlying depression have largely been unsuccessful. In the current study we aimed to identify rare genetic variants that might have large effects on depression in the general population. Using high-coverage exome-sequencing, we studied the exonic variants in 1265 individuals from the Rotterdam study (RS), who were assessed for depressive symptoms. We identified a missense Asn396Ser mutation (rs77960347) in the endothelial lipase (LIPG) gene, occurring with an allele frequency of 1% in the general population, which was significantly associated with depressive symptoms (P-value=5.2 × 10-08, β=7.2). Replication in three independent data sets (N=3612) confirmed the association of Asn396Ser (P-value=7.1 × 10-03, β=2.55) with depressive symptoms. LIPG is predicted to have enzymatic function in steroid biosynthesis, cholesterol biosynthesis and thyroid hormone metabolic processes. The Asn396Ser variant is predicted to have a damaging effect on the function of LIPG. Within the discovery population, carriers also showed an increased burden of white matter lesions (P-value=3.3 × 10-02) and a higher risk of Alzheimer's disease (odds ratio=2.01; P-value=2.8 × 10-02) compared with the non-carriers. Together, these findings implicate the Asn396Ser variant of LIPG in the pathogenesis of depressive symptoms in the general population.
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Affiliation(s)
- N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - O Jovanova
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - H H H Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - A Dehghan
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - M Kavousi
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - M W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - R P Peeters
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Rotterdam Thyroid Center, Erasmus MC, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - F M S de Vrij
- Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - S J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - J G J van Rooij
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - E M van Leeuwen
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - L Chaker
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Rotterdam Thyroid Center, Erasmus MC, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - A Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Human Genetics, Leiden University Medical Center, RC Leiden, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - R W W Brouwer
- Center for Biomics, Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - R Kraaij
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - K Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, RC Leiden, The Netherlands.,Division of Endocrinology, Department of Medicine, Leiden University Medical Center, RC Leiden, The Netherlands
| | - T Hankemeier
- Leiden Academic Center for Drug Research, Division of Analytical Biosciences, Leiden University, Leiden, The Netherlands.,The Netherlands Metabolomics Centre, Leiden University, Leiden, The Netherlands
| | - W F J van Ijcken
- Center for Biomics, Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - W J Niessen
- Departments of Radiology and Medical Informatics, Erasmus MC, Rotterdam, The Netherlands.,Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - O H Franco
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - S A Kushner
- Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - C M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
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21
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Jovanova O, Aarts N, Noordam R, Zillikens MC, Hofman A, Tiemeier H. Vitamin D serum levels are cross-sectionally but not prospectively associated with late-life depression. Acta Psychiatr Scand 2017; 135:185-194. [PMID: 28120398 DOI: 10.1111/acps.12689] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [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] [Accepted: 11/28/2016] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The evidence for a prospective association of vitamin D deficiency with the occurrence of late-life depression is limited. We aimed to study the long-term association between vitamin D serum levels and depression in a large population-based study of older adults. METHOD We included 3251 participants from the Rotterdam Study, aged 55 and older with 32 400 person-years follow-up for depression. Baseline 25-hydroxyvitamin D (25(OH)D) serum levels were analyzed continuously and categorically. Repeated depressive symptoms' questionnaire assessments were used to assess the change of depressive symptoms. Semistructured psychiatric interviews, and GP records were used to assess incident major depressive disorder according to DSM-IV criteria. RESULTS Low serum vitamin D levels were cross-sectionally associated with more depressive symptoms. However, low 25(OH)D serum levels were not prospectively associated with change of depressive symptoms (unstandardized beta = 0.02, 95% CI = -0.23; 0.26) or incident MDD (hazard ratio = 0.95, 95% CI = 0.86; 1.05). CONCLUSION We observed a cross-sectional but no prospective association between serum vitamin D levels and depression. A cross-sectional association in the absence of the longitudinal association can mostly be attributed to reverse causality or residual confounding. Probably, vitamin D deficiency is not an independent risk factor for depression but co-occurs with late-life depression.
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Affiliation(s)
- O Jovanova
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - N Aarts
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - R Noordam
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M C Zillikens
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Psychiatry, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
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22
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Brouwer-Brolsma EM, van Woudenbergh GJ, Oude Elferink SJWH, Singh-Povel CM, Hofman A, Dehghan A, Franco OH, Feskens EJM. Intake of different types of dairy and its prospective association with risk of type 2 diabetes: The Rotterdam Study. Nutr Metab Cardiovasc Dis 2016; 26:987-995. [PMID: 27692560 DOI: 10.1016/j.numecd.2016.08.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 07/22/2016] [Accepted: 08/03/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS The prevalence of type 2 diabetes (T2DM) is increasing. Several studies have suggested a beneficial effect of several major dairy nutrients on insulin production and sensitivity. Conversely, harmful effects have been suggested as well. This study aimed to investigate the impact of the full-range of dairy products and its association with incidence T2DM in Dutch adults aged ≥55 years participating in the Rotterdam Study. METHODS AND RESULTS Dairy intake was assessed with a validated FFQ, including total, skimmed, semi-skimmed, full-fat, fermented, and non-fermented dairy, and subclasses of these product groups. Verified prevalent and incident diabetes were documented. Cox proportional hazards regression and spline regression were used to analyse data, adjusting for age, sex, alcohol, smoking, education, physical activity, body mass index, intake of total energy, energy-adjusted meat, and energy-adjusted fish intake. Median total dairy intake was 398 g/day (IQR 259-559 g/day). Through 9.5 ± 4.1 years of follow-up, 393 cases of incident T2DM were reported. Cox and spline regression did not point towards associations of total dairy consumption, dairy consumption based on fat content, non-fermented or fermented dairy consumption, or individual dairy product consumption with incident T2DM. The HR for total dairy intake and T2DM was 0.93 (95% CI: 0.70-1.23) in the upper quartile (P-for trend 0.76). CONCLUSIONS This prospective cohort study did not point towards an association between dairy consumption and T2DM.
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Affiliation(s)
- E M Brouwer-Brolsma
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
| | - G J van Woudenbergh
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | | | | | - A Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
| | - A Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
| | - O H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
| | - E J M Feskens
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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23
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Sonneveld MAH, Kavousi M, Ikram MA, Hofman A, Rueda Ochoa OL, Turecek PL, Franco OH, Leebeek FWG, de Maat MPM. Low ADAMTS-13 activity and the risk of coronary heart disease - a prospective cohort study: the Rotterdam Study. J Thromb Haemost 2016; 14:2114-2120. [PMID: 27559008 DOI: 10.1111/jth.13479] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2016] [Indexed: 12/28/2022]
Abstract
Essentials An association between ADAMTS-13 and coronary heart disease (CHD) has been suggested. 5688 participants ≥ 55 years from the Rotterdam Study without a history of CHD were included. Over a median follow-up time of 9.7 years, 456 individuals suffered from CHD. Low ADAMTS-13 activity was associated with an increased CHD risk. SUMMARY Background The metalloprotease ADAMTS-13 cleaves high-molecular-weight von Willebrand factor multimers into smaller, less procoagulant forms. Low ADAMTS-13 activity is associated with an increased risk of ischemic stroke but its pathogenic role in coronary heart disease (CHD) is unclear. Objectives We aimed to determine the association between ADAMTS-13 activity and the risk of CHD in a large prospective population-based cohort study. Methods A total of 5688 participants of the Rotterdam Study, a population-based cohort study involving individuals aged ≥ 55 years without a history of CHD, were included. ADAMTS-13 activity was measured by the FRETS-VWF73 assay and VWF:Ag levels by ELISA. We assessed the association between ADAMTS-13 activity, VWF:Ag levels and CHD using Cox proportional hazard regression analysis, adjusting for cardiovascular risk factors. Results Over a median follow-up time of 9.7 years, 456 individuals suffered from CHD. A low ADAMTS-13 activity (quartile 1) was associated with an increased CHD risk (HR 1.42, 95% CI 1.07-1.89) compared with the reference highest quartile. Conclusions Low ADAMTS-13 activity is associated with an increased risk of CHD in the elderly, independently of VWF and established cardiovascular risk factors.
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Affiliation(s)
- M A H Sonneveld
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - O L Rueda Ochoa
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- School of Medicine, Faculty of Health, Universidad Industrial de Santander, Bucaramanga, Colombia
| | | | - O H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - F W G Leebeek
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M P M de Maat
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
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24
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Roshchupkin GV, Adams HHH, Vernooij MW, Hofman A, Van Duijn CM, Ikram MA, Niessen WJ. HASE: Framework for efficient high-dimensional association analyses. Sci Rep 2016; 6:36076. [PMID: 27782180 PMCID: PMC5080584 DOI: 10.1038/srep36076] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 10/10/2016] [Indexed: 12/21/2022] Open
Abstract
High-throughput technology can now provide rich information on a person’s biological makeup and environmental surroundings. Important discoveries have been made by relating these data to various health outcomes in fields such as genomics, proteomics, and medical imaging. However, cross-investigations between several high-throughput technologies remain impractical due to demanding computational requirements (hundreds of years of computing resources) and unsuitability for collaborative settings (terabytes of data to share). Here we introduce the HASE framework that overcomes both of these issues. Our approach dramatically reduces computational time from years to only hours and also requires several gigabytes to be exchanged between collaborators. We implemented a novel meta-analytical method that yields identical power as pooled analyses without the need of sharing individual participant data. The efficiency of the framework is illustrated by associating 9 million genetic variants with 1.5 million brain imaging voxels in three cohorts (total N = 4,034) followed by meta-analysis, on a standard computational infrastructure. These experiments indicate that HASE facilitates high-dimensional association studies enabling large multicenter association studies for future discoveries.
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Affiliation(s)
- G V Roshchupkin
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Medical Informatics, Erasmus MC, Rotterdam, Netherlands
| | - H H H Adams
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, Netherlands
| | - M W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC, Netherlands
| | | | - M A Ikram
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, Netherlands.,Department of Neurology, Erasmus MC, Rotterdam, Netherlands
| | - W J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Medical Informatics, Erasmus MC, Rotterdam, Netherlands.,Faculty of Applied Sciences, Delft University of Technology, Delft, Netherlands
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25
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Ballantyne C, Cushman M, Psaty B, Furberg C, Khaw KT, Sandhu M, Oldgren J, Rossi GP, Maiolino G, Cesari M, Lenzini L, James SK, Rimm E, Collins R, Anderson J, Koenig W, Brenner H, Rothenbacher D, Berglund G, Persson M, Berger P, Brilakis E, McConnell JP, Koenig W, Sacco R, Elkind M, Talmud P, Rimm E, Cannon CP, Packard C, Barrett-Connor E, Hofman A, Kardys I, Witteman JCM, Criqui M, Corsetti JP, Rainwater DL, Moss AJ, Robins S, Bloomfield H, Collins D, Packard C, Wassertheil-Smoller S, Ridker P, Ballantyne C, Cannon CP, Cushman M, Danesh J, Gu D, Hofman A, Nelson JJ, Thompson S, Zalewski A, Zariffa N, Di Angelantonio E, Kaptoge S, Thompson A, Thompson S, Walker M, Watson S, Wood A. Collaborative meta-analysis of individual participant data from observational studies of Lp-PLA2 and cardiovascular diseases. ACTA ACUST UNITED AC 2016; 14:3-11. [PMID: 17301621 DOI: 10.1097/01.hjr.0000239464.18509.f1] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND A large number of observational epidemiological studies have reported generally positive associations between circulating mass and activity levels of lipoprotein-associated phospholipase A2 (Lp-PLA2) and the risk of cardiovascular diseases. Few studies have been large enough to provide reliable estimates in different circumstances, such as in different subgroups (e.g., by age group, sex, or smoking status) or at different Lp-PLA2 levels. Moreover, most published studies have related disease risk only to baseline values of Lp-PLA2 markers (which can lead to substantial underestimation of any risk relationships because of within-person variability over time) and have used different approaches to adjustment for possible confounding factors. OBJECTIVES By combination of data from individual participants from all relevant observational studies in a systematic 'meta-analysis', with correction for regression dilution (using available data on serial measurements of Lp-PLA2), the Lp-PLA2 Studies Collaboration will aim to characterize more precisely than has previously been possible the strength and shape of the age and sex-specific associations of plasma Lp-PLA2 with coronary heart disease (and, where data are sufficient, with other vascular diseases, such as ischaemic stroke). It will also help to determine to what extent such associations are independent of possible confounding factors and to explore potential sources of heterogeneity among studies, such as those related to assay methods and study design. It is anticipated that the present collaboration will serve as a framework to investigate related questions on Lp-PLA2 and cardiovascular outcomes. METHODS A central database is being established containing data on circulating Lp-PLA2 values, sex and other potential confounding factors, age at baseline Lp-PLA2 measurement, age at event or at last follow-up, major vascular morbidity and cause-specific mortality. Information about any repeat measurements of Lp-PLA2 and potential confounding factors has been sought to allow adjustment for possible confounding and correction for regression dilution. The analyses will involve age-specific regression models. Synthesis of the available observational studies of Lp-PLA2 will yield information on a total of about 15 000 cardiovascular disease endpoints.
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26
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Jovanova O, Luik AI, Leening MJG, Noordam R, Aarts N, Hofman A, Franco OH, Dehghan A, Tiemeier H. The long-term risk of recognized and unrecognized myocardial infarction for depression in older men. Psychol Med 2016; 46:1951-1960. [PMID: 26996221 DOI: 10.1017/s0033291716000544] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The association between myocardial infarction (MI) and depression is well described. Yet, the underlying mechanisms are unclear and the contribution of psychological factors is uncertain. We aimed to determine the risk of recognized (RMI) and unrecognized (UMI) myocardial infections on depression, as both have a similar impact on cardiovascular health but differ in psychological epiphenomena. METHOD Participants of the Rotterdam Study, 1823 men aged ⩾55 years, were followed for the occurrence of depression. RMI and UMI were ascertained using electrocardiography and medical history at baseline. We determined the strength of the association of RMI and UMI with mortality, and we studied the relationship of RMI and UMI with depressive symptoms and the occurrence of major depression. RESULTS The risk of mortality was similar in men with RMI [adjusted hazard ratio (aHR) 1.71, 95% confidence interval (CI) 1.45-2.03] and UMI (aHR 1.58, 95% CI 1.27-1.97). Men with RMI had on average [unstandardized regression coefficient (B) 1.14, 95% CI 0.07-2.21] higher scores for depressive symptoms. By contrast, we found no clear association between UMI and depressive symptoms (B 0.55, 95% CI -0.51 to 1.62) in men. Analysis including occurrence of major depression as the outcome were consistent with the pattern of association. CONCLUSION The discrepant association of RMI and UMI with mortality compared to depression suggests that the psychological burden of having experienced an MI contributes to the long-term risk of depression.
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Affiliation(s)
- O Jovanova
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A I Luik
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M J G Leening
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - R Noordam
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - N Aarts
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Hofman
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - O H Franco
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Dehghan
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - H Tiemeier
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
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27
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Lahousse L, De Nocker P, Hofman A, Stricker BH, Brusselle GG, Verhamme KMC. AB014. Effect of beta-blockers on the risk of COPD exacerbations. J Thorac Dis 2016. [DOI: 10.21037/jtd.2016.s014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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28
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Wen K, Nguyen NT, Hofman A, Ikram MA, Franco OH. Migraine is associated with better cognition in the middle‐aged and elderly: the Rotterdam Study. Eur J Neurol 2016; 23:1510-6. [DOI: 10.1111/ene.13066] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 05/13/2016] [Indexed: 11/26/2022]
Affiliation(s)
- K. Wen
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - N. T. Nguyen
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - A. Hofman
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - M. A. Ikram
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
- Department of Radiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - O. H. Franco
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
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29
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Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Tiemeier H, Hofman A, Niessen WJ, Vernooij MW, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Völzke H, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Wright MJ, Hall GB, MacQueen GM, Frey EM, Carballedo A, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schnell K, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Sussmann JE, Godlewska BR, Cowen PJ, Fischer FH, Rose M, Penninx BWJH, Thompson PM, Hibar DP. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry 2016; 21:806-12. [PMID: 26122586 PMCID: PMC4879183 DOI: 10.1038/mp.2015.69] [Citation(s) in RCA: 672] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 03/13/2015] [Accepted: 04/01/2015] [Indexed: 11/09/2022]
Abstract
The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands,Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, P.O. Box 74077, Amsterdam 1070 BB, The Netherlands. E-mail:
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - P G Sämann
- Max Planck Institute of Psychiatry, Munich, Germany
| | - T Frodl
- Department of Psychiatry, University of Regensburg, Regensburg, Germany,Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - N Jahanshad
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - E Loehrer
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - M W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany,Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany,Helios Hospital Stralsund, Stralsund, Germany
| | - A Block
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - K Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - D Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Max Planck Institute of Psychiatry, Munich, Germany
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - R Goya-Maldonado
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Couvy-Duchesne
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - M E Rentería
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - L T Strike
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - G I de Zubicaray
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - M J Wright
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - G M MacQueen
- Department of Psychiatry, Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - E M Frey
- Department of Psychiatry, University of Regensburg, Regensburg, Germany
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M J van Tol
- University of Groningen, University Medical Center Groningen, NeuroImaging Center, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - K Schnell
- Department of General Psychiatry, University Hospital Heidelberg, Heidelberg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - D Schoepf
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - P J Cowen
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - F H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Institute for Social Medicine, Epidemology and Health Economics, Charité Universitätsmedizin, Berlin, Germany
| | - M Rose
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - P M Thompson
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - D P Hibar
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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30
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Demirkan A, Lahti J, Direk N, Viktorin A, Lunetta KL, Terracciano A, Nalls MA, Tanaka T, Hek K, Fornage M, Wellmann J, Cornelis MC, Ollila HM, Yu L, Smith JA, Pilling LC, Isaacs A, Palotie A, Zhuang WV, Zonderman A, Faul JD, Sutin A, Meirelles O, Mulas A, Hofman A, Uitterlinden A, Rivadeneira F, Perola M, Zhao W, Salomaa V, Yaffe K, Luik AI, Liu Y, Ding J, Lichtenstein P, Landén M, Widen E, Weir DR, Llewellyn DJ, Murray A, Kardia SLR, Eriksson JG, Koenen K, Magnusson PKE, Ferrucci L, Mosley TH, Cucca F, Oostra BA, Bennett DA, Paunio T, Berger K, Harris TB, Pedersen NL, Murabito JM, Tiemeier H, van Duijn CM, Räikkönen K. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med 2016; 46:1613-1623. [PMID: 26997408 PMCID: PMC5812462 DOI: 10.1017/s0033291715002081] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is moderately heritable, however genome-wide association studies (GWAS) for MDD, as well as for related continuous outcomes, have not shown consistent results. Attempts to elucidate the genetic basis of MDD may be hindered by heterogeneity in diagnosis. The Center for Epidemiological Studies Depression (CES-D) scale provides a widely used tool for measuring depressive symptoms clustered in four different domains which can be combined together into a total score but also can be analysed as separate symptom domains. METHOD We performed a meta-analysis of GWAS of the CES-D symptom clusters. We recruited 12 cohorts with the 20- or 10-item CES-D scale (32 528 persons). RESULTS One single nucleotide polymorphism (SNP), rs713224, located near the brain-expressed melatonin receptor (MTNR1A) gene, was associated with the somatic complaints domain of depression symptoms, with borderline genome-wide significance (p discovery = 3.82 × 10-8). The SNP was analysed in an additional five cohorts comprising the replication sample (6813 persons). However, the association was not consistent among the replication sample (p discovery+replication = 1.10 × 10-6) with evidence of heterogeneity. CONCLUSIONS Despite the effort to harmonize the phenotypes across cohorts and participants, our study is still underpowered to detect consistent association for depression, even by means of symptom classification. On the contrary, the SNP-based heritability and co-heritability estimation results suggest that a very minor part of the variation could be captured by GWAS, explaining the reason of sparse findings.
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Affiliation(s)
- A. Demirkan
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - J. Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - N. Direk
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - A. Viktorin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - K. L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - A. Terracciano
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
- College of Medicine, Florida State University, Tallahassee, FL, USA
| | - M. A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - T. Tanaka
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - K. Hek
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Psychiatry, Epidemiological and Social Psychiatric Research Institute, Erasmus MC, Rotterdam, The Netherlands
| | - M. Fornage
- Houston Institute of Molecular Medicine, University of Texas, Houston, TX, USA
| | - J. Wellmann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - M. C. Cornelis
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - H. M. Ollila
- Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
| | - L. Yu
- Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - J. A. Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | | | - A. Isaacs
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - A. Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - W. V. Zhuang
- Department of Preventive Medicine and Public Health, School of Medicine, Creighton University, Omaha, NE, USA
| | - A. Zonderman
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - J. D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - A. Sutin
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - O. Meirelles
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - A. Mulas
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
| | - A. Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - A. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - F. Rivadeneira
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - M. Perola
- Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
| | - W. Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - V. Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - K. Yaffe
- Departments of Psychiatry, University of California, San Francisco, CA, USA
| | - A. I. Luik
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - NABEC
- North American Brain Expression Consortium, USA
| | - UKBEC
- UK Brain Expression Consortium, UK
| | - Y. Liu
- Center for Human Genomics, Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
| | - J. Ding
- Geriatrics & Gerontology, Sticht Center on Aging, Wake Forest University, Primate Center, Epidemiology & Prevention, Winston-Salem, NC, USA
| | - P. Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - M. Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - E. Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - D. R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | | | - A. Murray
- University of Exeter Medical School, Exeter, UK
| | - S. L. R. Kardia
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - J. G. Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - K. Koenen
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - P. K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - L. Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - T. H. Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - F. Cucca
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
| | - B. A. Oostra
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - D. A. Bennett
- Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - T. Paunio
- Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
| | - K. Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - T. B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Ageing, National Institutes of Health, Bethesda, MD, USA
| | - N. L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - J. M. Murabito
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - H. Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - C. M. van Duijn
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands
| | - K. Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
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Noordam R, van den Berg ME, Niemeijer MN, Aarts N, Hofman A, Tiemeier H, Kors JA, Stricker BH, Eijgelsheim M, Visser LE, Rijnbeek PR. Antidepressants and heart-rate variability in older adults: a population-based study. Psychol Med 2016; 46:1239-1247. [PMID: 26679009 DOI: 10.1017/s0033291715002779] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Tricyclic antidepressants (TCAs) and selective serotonin reuptake inhibitors (SSRIs) may be associated with lower heart rate variability (HRV), a condition associated with increased mortality risk. We aimed to investigate the association between TCAs, SSRIs and HRV in a population-based study. METHOD In the prospective Rotterdam Study cohort, up to five electrocardiograms (ECGs) per participant were recorded (1991-2012). Two HRV variables were studied based on 10-s ECG recordings: standard deviation of normal-to-normal RR intervals (SDNN) and root mean square of successive RR interval differences (RMSSD). We compared the HRV on ECGs recorded during use of antidepressants with the HRV on ECGs recorded during non-use of any antidepressant. Additionally, we analysed the change in HRV on consecutive ECGs. Those who started or stopped using antidepressants before the second ECG were compared with non-users on two ECGs. RESULTS We included 23 647 ECGs from 11 729 participants (59% women, mean age 64.6 years at baseline). Compared to ECGs recorded during non-use of antidepressants (n = 22 971), SDNN and RMSSD were lower in ECGs recorded during use of TCAs (n = 296) and SSRIs (n = 380). Participants who started using TCAs before the second ECG had a decrease in HRV and those who stopped had an increase in HRV compared to consistent non-users (p < 0.001). Starting or stopping SSRIs was not associated with HRV changes. CONCLUSION TCAs were associated with a lower HRV in all analyses, indicating a real drug effect. For SSRIs the results are mixed, indicating a weaker association, possibly due to other factors.
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Affiliation(s)
- R Noordam
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M E van den Berg
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M N Niemeijer
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - N Aarts
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Hofman
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - H Tiemeier
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - J A Kors
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - B H Stricker
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M Eijgelsheim
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - L E Visser
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - P R Rijnbeek
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
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32
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Hajdarbegovic E, Blom H, Verkouteren J, Hofman A, Hollestein L, Nijsten T. Atopic dermatitis is not associated with actinic keratosis: cross‐sectional results from the Rotterdam study. Br J Dermatol 2016; 175:89-94. [DOI: 10.1111/bjd.14423] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/14/2016] [Indexed: 11/30/2022]
Affiliation(s)
- E. Hajdarbegovic
- Department of Dermatology and Venerology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
| | - H. Blom
- Department of Dermatology and Venerology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
| | - J.A.C. Verkouteren
- Department of Dermatology and Venerology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
| | - A. Hofman
- Department of Epidemiology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
| | - L.M. Hollestein
- Department of Dermatology and Venerology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
| | - T. Nijsten
- Department of Dermatology and Venerology Erasmus Medical Centre Burgemeester s'Jacobplein 51 3015 CA Rotterdam the Netherlands
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33
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Kooijman MN, Gaillard R, Reiss I, Hofman A, Steegers E, Jaddoe V. Influence of fetal blood flow redistribution on fetal and childhood growth and fat distribution: the Generation R Study. BJOG 2016; 123:2104-2112. [PMID: 26936012 DOI: 10.1111/1471-0528.13933] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/31/2015] [Indexed: 11/27/2022]
Abstract
OBJECTIVE A suboptimal intrauterine environment leads to fetal blood flow redistribution and fetal growth restriction. Not much is known about childhood growth consequences. We examined the associations of fetal blood flow redistribution with birth outcomes, and repeatedly measured fetal and childhood growth and fat mass measures. DESIGN Prospective cohort study. SETTING Population-based. POPULATION One thousand one hundred and ninety-five pregnant women and their children. METHODS We measured umbilical and cerebral artery blood flow at a gestational age of 30.3 weeks (95% range, 28.5-32.6 weeks). A higher umbilical/cerebral (U/C) pulsatility index ratio is an indicator of preferential blood flow to the brain cerebral circulation at the expense of the lower body parts. MAIN OUTCOME MEASURES Fetal and childhood growth were repeatedly measured from the third trimester until childhood. We measured the total body fat mass, lean fat mass and android/gynoid fat mass ratio by dual-energy X-ray absorptiometry and preperitoneal fat by ultrasound at 6 years. RESULTS A higher fetal U/C ratio was associated with increased risks of preterm birth and small size for gestational age at birth [odds ratios, 1.41 (95% confidence interval, 1.08-1.85) and 1.63 (95% confidence interval, 1.21-2.19), respectively, per SDS increase in U/C ratio]. Longitudinal growth analyses showed that a higher fetal U/C ratio was associated with persistently lower head circumference, length and weight from third trimester fetal life until childhood (all P < 0.05). The fetal U/C ratio was not associated with total body and abdominal fat measures at 6 years. CONCLUSION Our results suggest that fetal blood flow redistribution affects fetal development and has persistent consequences for childhood growth. TWEETABLE ABSTRACT Fetal blood flow redistribution affects fetal development and has persistent consequences for childhood growth.
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Affiliation(s)
- M N Kooijman
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Ikm Reiss
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Eap Steegers
- Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Vwv Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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34
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Rucci E, den Dekker HT, de Jongste JC, Steenweg-de-Graaff J, Gaillard R, Pasmans SG, Hofman A, Tiemeier H, Jaddoe VWV, Duijts L. Maternal fatty acid levels during pregnancy, childhood lung function and atopic diseases. The Generation R Study. Clin Exp Allergy 2016; 46:461-71. [DOI: 10.1111/cea.12613] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 08/05/2015] [Accepted: 08/12/2015] [Indexed: 01/31/2023]
Affiliation(s)
- E. Rucci
- The Generation R Study Group; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Pediatrics; Division of Respiratory Medicine; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - H. T. den Dekker
- The Generation R Study Group; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Pediatrics; Division of Respiratory Medicine; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - J. C. de Jongste
- Department of Pediatrics; Division of Respiratory Medicine; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - J. Steenweg-de-Graaff
- The Generation R Study Group; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - R. Gaillard
- The Generation R Study Group; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Pediatrics; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - S. G. Pasmans
- Department of Dermatology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - A. Hofman
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - H. Tiemeier
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Psychiatry; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - V. W. V. Jaddoe
- The Generation R Study Group; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Pediatrics; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
| | - L. Duijts
- Department of Pediatrics; Division of Respiratory Medicine; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Epidemiology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
- Department of Pediatrics; Division of Neonatology; Erasmus MC, University Medical Center Rotterdam; Rotterdam The Netherlands
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35
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Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, Chibnik LB, Liu Y, Vitart V, Kirin M, Petrovic K, Polasek O, Zgaga L, Fawns-Ritchie C, Hoffmann P, Karjalainen J, Lahti J, Llewellyn DJ, Schmidt CO, Mather KA, Chouraki V, Sun Q, Resnick SM, Rose LM, Oldmeadow C, Stewart M, Smith BH, Gudnason V, Yang Q, Mirza SS, Jukema JW, deJager PL, Harris TB, Liewald DC, Amin N, Coker LH, Stegle O, Lopez OL, Schmidt R, Teumer A, Ford I, Karbalai N, Becker JT, Jonsdottir MK, Au R, Fehrmann RSN, Herms S, Nalls M, Zhao W, Turner ST, Yaffe K, Lohman K, van Swieten JC, Kardia SLR, Knopman DS, Meeks WM, Heiss G, Holliday EG, Schofield PW, Tanaka T, Stott DJ, Wang J, Ridker P, Gow AJ, Pattie A, Starr JM, Hocking LJ, Armstrong NJ, McLachlan S, Shulman JM, Pilling LC, Eiriksdottir G, Scott RJ, Kochan NA, Palotie A, Hsieh YC, Eriksson JG, Penman A, Gottesman RF, Oostra BA, Yu L, DeStefano AL, Beiser A, Garcia M, Rotter JI, Nöthen MM, Hofman A, Slagboom PE, Westendorp RGJ, Buckley BM, Wolf PA, Uitterlinden AG, Psaty BM, Grabe HJ, Bandinelli S, Chasman DI, Grodstein F, Räikkönen K, Lambert JC, Porteous DJ, Price JF, Sachdev PS, Ferrucci L, Attia JR, Rudan I, Hayward C, Wright AF, Wilson JF, Cichon S, Franke L, Schmidt H, Ding J, de Craen AJM, Fornage M, Bennett DA, Deary IJ, Ikram MA, Launer LJ, Fitzpatrick AL, Seshadri S, van Duijn CM, Mosley TH. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 2016; 21:189-197. [PMID: 25869804 PMCID: PMC4722802 DOI: 10.1038/mp.2015.37] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 01/21/2015] [Accepted: 02/11/2015] [Indexed: 01/20/2023]
Abstract
To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.
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Affiliation(s)
- CA Ibrahim-Verbaas
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - J Bressler
- Human Genetics Center, School of Public Health, University of
Texas Health Science Center at Houston, Houston, TX, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Debette
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,Institut National de la Santé et de la Recherche
Médicale (INSERM), U897, Epidemiology and Biostatistics, University of Bordeaux,
Bordeaux, France,Department of Neurology, Bordeaux University Hospital, Bordeaux,
France,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - M Schuur
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - AV Smith
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - JC Bis
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands,Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - JA Smith
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - C Wolf
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - LB Chibnik
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Y Liu
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - O Polasek
- Department of Public Health, University of Split, Split,
Croatia
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College
Dublin, Dublin, Ireland
| | - C Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - P Hoffmann
- Institute of Neuroscience and Medicine (INM -1), Research
Center Juelich, Juelich, Germany,Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - J Karjalainen
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - DJ Llewellyn
- Institute of Biomedical and Clinical Sciences, University of
Exeter Medical School, Exeter, UK
| | - CO Schmidt
- Institute for Community Medicine, University Medicine
Greifswald, Greifswald, Germany
| | - KA Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
| | - V Chouraki
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - Q Sun
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - SM Resnick
- Laboratory of Behavioral Neuroscience, National Institute on
Aging, NIH, Baltimore, MD, USA
| | - LM Rose
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - M Stewart
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - BH Smith
- Medical Research Institute, University of Dundee, Dundee,
UK
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland
| | - Q Yang
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - SS Mirza
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - JW Jukema
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands
| | - PL deJager
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - TB Harris
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - DC Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - LH Coker
- Division of Public Health Sciences and Neurology, Wake Forest
School of Medicine, Winston-Salem, NC, USA
| | - O Stegle
- Max Planck Institute for Developmental Biology, Max Planck
Institute for Intelligent Systems, Tübingen, Germany
| | - OL Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA
| | - R Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - A Teumer
- Interfaculty Institute for Genetics and Functional Genomics,
University Medicine Greifswald, Greifswald, Germany
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow,
Glasgow, UK
| | - N Karbalai
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - JT Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh,
PA, USA
| | | | - R Au
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - RSN Fehrmann
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - S Herms
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Nalls
- Laboratory of Neurogenetics, National Institute on Aging,
Bethesda, MD, USA
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - ST Turner
- Division of Nephrology and Hypertension, Department of Internal
Medicine, Mayo Clinic, Rochester, MN, USA
| | - K Yaffe
- Departments of Psychiatry, Neurology and Epidemiology,
University of California, San Francisco and San Francisco VA Medical Center, San Francisco,
CA, USA
| | - K Lohman
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - JC van Swieten
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - SLR Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - DS Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - WM Meeks
- Department of Medicine, Division of Geriatrics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - G Heiss
- Department of Epidemiology, Gillings School of Global Public
Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - EG Holliday
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - PW Schofield
- School of Medicine and Public Health, Faculty of Health,
University of Newcastle, Newcastle, SW, Australia
| | - T Tanaka
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - DJ Stott
- Department of Cardiovascular and Medical Sciences, University
of Glasgow, Glasgow, UK
| | - J Wang
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - P Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - AJ Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Research Centre, Edinburgh, UK
| | - LJ Hocking
- Division of Applied Medicine, University of Aberdeen, Aberdeen,
UK
| | - NJ Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Cancer Research Program, Garvan Institute of Medical Research,
Sydney, NSW, Australia,School of Mathematics & Statistics and Prince of Wales
Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - S McLachlan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - JM Shulman
- Department of Neurology, Baylor College of Medicine, Houston,
TX, USA,Department of Molecular and Human Genetics, The Jan and Dan
Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - LC Pilling
- Epidemiology and Public Health Group, University of Exeter
Medical School, Exeter, UK
| | | | - RJ Scott
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - NA Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus,
Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of
Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and
University Central Hospital, Helsinki, Finland
| | - Y-C Hsieh
- School of Public Health, Taipei Medical University, Taipei,
Taiwan
| | - JG Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,Department of General Practice and Primary Health Care,
University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki,
Finland,Helsinki University Central Hospital, Unit of General Practice,
Helsinki, Finland,Vasa Central Hospital, Vasa, Finland
| | - A Penman
- Center of Biostatistics and Bioinformatics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - RF Gottesman
- Department of Neurology, Johns Hopkins University School of
Medicine, Baltimore, MD, USA
| | - BA Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - AL DeStefano
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - M Garcia
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - JI Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los
Angeles, CA, USA,Institute for Translational Genomics and Population Sciences,
Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA,
USA,Division of Genetic Outcomes, Department of Pediatrics,
Harbor-UCLA Medical Center, Torrance, CA, USA
| | - MM Nöthen
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn,
Germany
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - PE Slagboom
- Department of Molecular Epidemiology, Leiden University Medical
Center, Leiden, The Netherlands
| | - RGJ Westendorp
- Leiden Academy of Vitality and Ageing, Leiden, The
Netherlands
| | - BM Buckley
- Department of Pharmacology and Therapeutics, University College
Cork, Cork, Ireland
| | - PA Wolf
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - AG Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Internal Medicine, Erasmus University Medical
Center, Rotterdam, The Netherlands
| | - BM Psaty
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Department of Epidemiology, University of Washington, Seattle,
WA, USA,Department of Health Services, University of Washington,
Seattle, WA, USA,Group Health Research Institute, Group Health, Seattle, WA,
USA
| | - HJ Grabe
- Department of Psychiatry and Psychotherapy, University Medicine
Greifswald, HELIOS-Hospital Stralsund, Stralsund, Germany
| | - S Bandinelli
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - DI Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland
| | - J-C Lambert
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - DJ Porteous
- Centre for Genomic and Experimental Medicine, Institute of
Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - JF Price
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - PS Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - L Ferrucci
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - JR Attia
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - AF Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - JF Wilson
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - S Cichon
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,Institute of Neuroscience and Medicine (INM-1), Research Center
Juelich, Juelich, Germany
| | - L Franke
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - H Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - J Ding
- Department of Internal Medicine, Wake Forest University School
of Medicine, Winston-Salem, NC, USA
| | - AJM de Craen
- Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - M Fornage
- Institute for Molecular Medicine and Human Genetics Center,
University of Texas Health Science Center at Houston, Houston, TX, USA
| | - DA Bennett
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - IJ Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - MA Ikram
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Radiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - LJ Launer
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - AL Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle,
WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - CM van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - TH Mosley
- Department of Medicine and Neurology, University of Mississippi
Medical Center, Jackson, MS, USA
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van der Tas JT, Elfrink MEC, Vucic S, Heppe DHM, Veerkamp JSJ, Jaddoe VWV, Rivadeneira F, Hofman A, Moll HA, Wolvius EB. Association between Bone Mass and Dental Hypomineralization. J Dent Res 2016; 95:395-401. [PMID: 26747420 DOI: 10.1177/0022034515625470] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The aim of this study was to examine the association between the bone mass (bone mineral content [BMC]) and hypomineralized second primary molars (HSPMs)/molar incisor hypomineralization (MIH) in 6-y-old children. This cross-sectional study was embedded in the Generation R Study, a population-based prospective cohort study, starting from fetal life until adulthood in Rotterdam, Netherlands. The European Academy of Pediatric Dentistry criteria were used to score the intraoral photographs on the presence or absence of HSPMs and MIH. Bone mass was measured with a dual-energy x-ray absorptiometry (DXA) scan. Intraoral photographs and DXA scans were available in 6,510 6-y-old children. Binary logistic regression models were used to study the association between the bone mass and HSPMs/MIH. In total, 5,586 children had their second primary molars assessed and a DXA scan made; 507 children were diagnosed with HSPM. Of 2,370 children with data on their permanent first molars, 203 were diagnosed with MIH. In the fully adjusted model, children with lower BMC (corrected for bone area) were more likely to have HSPMs (odds ratio, 1.13; 95% confidence interval, 1.02 to 1.26 per 1-standard deviation decrease). A lower BMC (corrected for bone area) was not associated with MIH (odds ratio, 1.02; 95% confidence interval, 0.87 to 1.20 per 1-standard deviation decrease). We observed a negative association between BMC (corrected for bone area) and HSPMs. No association was found between BMC (corrected for bone area) and MIH. Future research should focus on investigating the mechanism underlying the negative association between the bone mass and HSPMs. Our study, in a large population of 6-y-old children, adds the finding that BMC (corrected for bone size) is associated with HSPMs but not with MIH in childhood.
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Affiliation(s)
- J T van der Tas
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus Medical Center, Rotterdam, Netherlands The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
| | - M E C Elfrink
- Department of Cariology, Endodontology, and Pedodontology, Academic Center for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Amsterdam, Netherlands
| | - S Vucic
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus Medical Center, Rotterdam, Netherlands The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
| | - D H M Heppe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands Department of Paediatrics, Erasmus Medical Center, Rotterdam, Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - J S J Veerkamp
- Department of Cariology, Endodontology, and Pedodontology, Academic Center for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Amsterdam, Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands Department of Paediatrics, Erasmus Medical Center, Rotterdam, Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - F Rivadeneira
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - A Hofman
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - H A Moll
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands Department of Paediatrics, Erasmus Medical Center, Rotterdam, Netherlands
| | - E B Wolvius
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus Medical Center, Rotterdam, Netherlands The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
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Pilling LC, Joehanes R, Kacprowski T, Peters M, Jansen R, Karasik D, Kiel DP, Harries LW, Teumer A, Powell J, Levy D, Lin H, Lunetta K, Munson P, Bandinelli S, Henley W, Hernandez D, Singleton A, Tanaka T, van Grootheest G, Hofman A, Uitterlinden AG, Biffar R, Gläser S, Homuth G, Malsch C, Völker U, Penninx B, van Meurs JBJ, Ferrucci L, Kocher T, Murabito J, Melzer D. Gene transcripts associated with muscle strength: a CHARGE meta-analysis of 7,781 persons. Physiol Genomics 2016; 48:1-11. [PMID: 26487704 PMCID: PMC4757025 DOI: 10.1152/physiolgenomics.00054.2015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 10/08/2015] [Indexed: 12/22/2022] Open
Abstract
Lower muscle strength in midlife predicts disability and mortality in later life. Blood-borne factors, including growth differentiation factor 11 (GDF11), have been linked to muscle regeneration in animal models. We aimed to identify gene transcripts associated with muscle strength in adults. Meta-analysis of whole blood gene expression (overall 17,534 unique genes measured by microarray) and hand-grip strength in four independent cohorts (n = 7,781, ages: 20-104 yr, weighted mean = 56), adjusted for age, sex, height, weight, and leukocyte subtypes. Separate analyses were performed in subsets (older/younger than 60, men/women). Expression levels of 221 genes were associated with strength after adjustment for cofactors and for multiple statistical testing, including ALAS2 (rate-limiting enzyme in heme synthesis), PRF1 (perforin, a cytotoxic protein associated with inflammation), IGF1R, and IGF2BP2 (both insulin like growth factor related). We identified statistical enrichment for hemoglobin biosynthesis, innate immune activation, and the stress response. Ten genes were associated only in younger individuals, four in men only and one in women only. For example, PIK3R2 (a negative regulator of PI3K/AKT growth pathway) was negatively associated with muscle strength in younger (<60 yr) individuals but not older (≥ 60 yr). We also show that 115 genes (52%) have not previously been linked to muscle in NCBI PubMed abstracts. This first large-scale transcriptome study of muscle strength in human adults confirmed associations with known pathways and provides new evidence for over half of the genes identified. There may be age- and sex-specific gene expression signatures in blood for muscle strength.
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Affiliation(s)
- L C Pilling
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom
| | - R Joehanes
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Population Studies Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - T Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - M Peters
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
| | - R Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - D Karasik
- Hebrew SeniorLife Institute for Aging Research, Boston, Massachusetts
| | - D P Kiel
- Hebrew SeniorLife Institute for Aging Research, Boston, Massachusetts
| | - L W Harries
- RNA mechanisms of complex diseases group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom
| | - A Teumer
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - J Powell
- Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St. Lucia, Brisbane, Australia
| | - D Levy
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Population Studies Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - H Lin
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - K Lunetta
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - P Munson
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; The Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland
| | - S Bandinelli
- Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy
| | - W Henley
- Institute for Health Services Research, University of Exeter Medical School, Exeter, United Kingdom
| | - D Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - A Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - T Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland
| | - G van Grootheest
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - A Hofman
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands; Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands; Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands
| | - R Biffar
- Department of Prosthetic Dentistry, Gerostomatology and Dental Materials, University Medicine Greifswald, Greifswald, Germany
| | - S Gläser
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University of Greifswald, Greifswald, Germany
| | - G Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - C Malsch
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - U Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - B Penninx
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - J B J van Meurs
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
| | - L Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland
| | - T Kocher
- Unit of Periodontology, Department of Restorative Dentistry, Periodontology and Endodontology, University Medicine Greifswald, Greifswald, Germany; and
| | - J Murabito
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; General Internal Medicine Section, Boston University, Boston, Massachusetts
| | - D Melzer
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom;
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Miliku K, Voortman T, Franco OH, McGrath JJ, Eyles DW, Burne TH, Hofman A, Tiemeier H, Jaddoe VWV. Vitamin D status during fetal life and childhood kidney outcomes. Eur J Clin Nutr 2015; 70:629-34. [PMID: 26695721 DOI: 10.1038/ejcn.2015.216] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 09/28/2015] [Accepted: 11/09/2015] [Indexed: 12/18/2022]
Abstract
BACKGROUND/OBJECTIVES Maternal vitamin D deficiency during pregnancy may influence offspring kidney health. We aimed to examine the associations of 25-hydroxyvitamin D (25(OH)D) blood levels during fetal life with kidney outcomes at school age. SUBJECTS/METHODS This study was embedded in a population-based prospective cohort study among 4212 mother-child pairs. We measured maternal second trimester (18-25 weeks) and fetal cord blood (at birth) 25(OH)D levels. At a median age of 6.0 years, we measured children's combined kidney volume, glomerular filtration rate (eGFR) from creatinine and cystatin C serum levels, and microalbuminuria from albumin and creatinine urine levels. RESULTS Of all mothers, 21.9% had severely deficient levels (25(OH)D <25.0 nmol/l), 25.7% had deficient levels (25.0-49.9 nmol/l), 25% had sufficient levels (50.0-74.9 nmol/l) and 27.4% had optimal levels (⩾75.0 nmol/l). Maternal 25(OH)D levels were not consistently associated with childhood combined kidney volume. Higher maternal 25(OH)D levels were associated with lower childhood eGFR (difference -0.94 ml/min per 1.73 m(2) (95% confidence interval, -1.73; -0.15) per 1 standard deviation (s.d.) increase in 25(OH)D). Maternal 25(OH)D levels were not associated with microalbuminuria. Cord blood 25(OH)D levels were not associated with childhood kidney outcomes. The associations of maternal 25(OH)D levels with childhood eGFR were partly explained by childhood vitamin D status. CONCLUSIONS Our findings suggest that maternal 25(OH)D levels during pregnancy may influence childhood kidney outcomes. These results should be considered hypothesis generating. Further studies are needed to replicate the observations, to examine the underlying mechanisms and to identify the long-term clinical consequences.
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Affiliation(s)
- K Miliku
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - T Voortman
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - O H Franco
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - J J McGrath
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.,Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, Queensland, Australia
| | - D W Eyles
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.,Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, Queensland, Australia
| | - T H Burne
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.,Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, Queensland, Australia
| | - A Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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Vogelezang S, Gishti O, Felix JF, van der Beek EM, Abrahamse-Berkeveld M, Hofman A, Gaillard R, Jaddoe VWV. Tracking of abdominal subcutaneous and preperitoneal fat mass during childhood. The Generation R Study. Int J Obes (Lond) 2015; 40:595-600. [PMID: 26686002 DOI: 10.1038/ijo.2015.252] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Revised: 10/26/2015] [Accepted: 11/16/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND Overweight and obesity in early life tends to track into later life. Not much is known about tracking of abdominal fat. Our objective was to examine the extent of tracking of abdominal fat measures during the first six years of life. DESIGN We performed a prospective cohort study among 393 Dutch children followed from the age of 2 years (90% range 1.9; 2.3) until the age of 6 years (90% range 5.7; 6.2). At both ages, we performed abdominal ultrasound to measure abdominal subcutaneous and preperitoneal fat distances and areas, and we calculated the preperitoneal/subcutaneous fat distance ratio. High abdominal fat measures were defined as values in the upper 15%. RESULTS Abdominal subcutaneous fat distance and area, and preperitoneal fat area at 2 years were correlated with their corresponding measures at 6 years (all P-values <0.01), with the strongest coefficients for abdominal subcutaneous fat measures. Preperitoneal fat distance at the age of 2 years was not correlated with the corresponding measure at 6 years. The tracking coefficient for preperitoneal/subcutaneous fat distance ratio from 2 to 6 years was r=0.36 (P<0.01). Children with high abdominal subcutaneous fat measures at 2 years had increased risk of having high abdominal subcutaneous fat measures at 6 years (odds ratios 9.2 (95% confidence interval (CI) 4.1-20.8) and 12.4 (95% CI 5.4-28.6) for subcutaneous fat distance and area, respectively). These associations were not observed for preperitoneal fat measures. CONCLUSIONS Our findings suggest that both abdominal subcutaneous and preperitoneal fat mass measures track during childhood, but with stronger tracking for abdominal subcutaneous fat measures. An adverse abdominal fat distribution in early life may have long-term consequences.
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Affiliation(s)
- S Vogelezang
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - O Gishti
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | | | | | - A Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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40
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Vitezova A, Voortman T, Zillikens M, Jansen P, Hofman A, Uitterlinden A, Franco O, Kiefte-de Jong J. Bidirectional associations between circulating vitamin D and cholesterol levels: The Rotterdam Study. Maturitas 2015; 82:411-7. [DOI: 10.1016/j.maturitas.2015.08.005] [Citation(s) in RCA: 15] [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: 06/24/2015] [Revised: 08/13/2015] [Accepted: 08/17/2015] [Indexed: 12/16/2022]
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41
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de Kruijf M, Bos D, Huygen FJPM, Niessen WJ, Tiemeier H, Hofman A, Uitterlinden AG, Vernooij MW, Ikram MA, van Meurs JBJ. Structural Brain Alterations in Community Dwelling Individuals with Chronic Joint Pain. AJNR Am J Neuroradiol 2015; 37:430-8. [PMID: 26542234 DOI: 10.3174/ajnr.a4556] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2015] [Accepted: 07/11/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Central sensitization in chronic pain involves structural brain changes that influence vulnerability to pain. Identifying brain regions involved in pain processing and sensitization can provide more insight into chronic pain. This study examines structural brain changes in chronic pain and experimental pain in a large population-based study. MATERIALS AND METHODS For 3892 participants in the Rotterdam study, global and regional MR imaging brain volumes were automatically segmented and quantified. Chronic joint pain was defined as pain for more than half of all days during the past 6 weeks. Heat pain thresholds were measured in a subset of 1538 individuals. The association between the presence of chronic joint pain and global and lobar brain volumes was studied. Subsequently, literature was reviewed and the association of chronic pain and heat pain thresholds with 11 brain regions associated with musculoskeletal pain in previous publications was studied. RESULTS Total gray matter volume was smaller in women with chronic pain (β = -0.066, P = .016). This effect was primarily driven by lower gray matter volume in the temporal lobe (β = 0.086, P = .005), the frontal lobe (β = -0.060, P = .039), and the hippocampus (β = -0.099, P = .002). In addition, we observed that a lower heat pain threshold was associated with smaller volumes of the hippocampus (β = 0.017, P = .048), the thalamus (β = 0.018, P = .009), and the anterior cingulate cortex (β = -0.016, P = .037). In men, no significant associations were observed. CONCLUSIONS The primary identified brain areas, the temporal and frontal lobes and the hippocampus, indicated involvement of emotional processing. The volumetric differences found indicated a sex-specific neuroplasticity in chronic pain. These results emphasized sex-specific and multidisciplinary pain treatment.
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Affiliation(s)
- M de Kruijf
- From the Departments of Internal Medicine (M.d.K., A.G.U., J.B.J.v.M.) Anaesthesiology (M.d.K., F.J.P.M.H.)
| | - D Bos
- Radiology (D.B., W.J.N., M.W.V., M.A.I.) Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.)
| | | | - W J Niessen
- Radiology (D.B., W.J.N., M.W.V., M.A.I.) Medical Informatics (W.J.N.) Faculty of Applied Sciences (W.J.N.), Delft University of Technology, Delft, the Netherlands
| | - H Tiemeier
- Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.)
| | - A Hofman
- Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.)
| | - A G Uitterlinden
- From the Departments of Internal Medicine (M.d.K., A.G.U., J.B.J.v.M.) Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.)
| | - M W Vernooij
- Radiology (D.B., W.J.N., M.W.V., M.A.I.) Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.)
| | - M A Ikram
- Radiology (D.B., W.J.N., M.W.V., M.A.I.) Epidemiology (D.B., H.T., A.H., A.G.U., M.W.V., M.A.I.) Neurology (M.A.I.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - J B J van Meurs
- From the Departments of Internal Medicine (M.d.K., A.G.U., J.B.J.v.M.)
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Luijk MPCM, Linting M, Henrichs J, Herba CM, Verhage ML, Schenk JJ, Arends LR, Raat H, Jaddoe VWV, Hofman A, Verhulst FC, Tiemeier H, van IJzendoorn MH. Hours in non-parental child care are related to language development in a longitudinal cohort study. Child Care Health Dev 2015; 41:1188-98. [PMID: 25722078 DOI: 10.1111/cch.12238] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [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] [Accepted: 01/21/2015] [Indexed: 01/22/2023]
Abstract
BACKGROUND The effects of child care services on several domains of child development have been extensively investigated, but evidence regarding the effects of child care on language development remains inconclusive. METHODS Within a large-scale population-based study, we examined the longitudinal associations between non-parental child care and language development from 1 to 6 years (n = 5375). RESULTS Results showed that more hours in non-parental child care were associated with better language abilities. However, more hours in care in the first year of life were associated with less language proficiency at ages 1 to 1.5. At later ages, this effect disappeared and language proficiency increased. Furthermore, children who spent more hours in centre-based care had better language scores than children in home-based care. Ethnicity, socio-economic status, gender or parity did not change these results. CONCLUSIONS This large, multi-ethnic study demonstrates beneficial effects of non-parental child care, particularly centre-based care, on language proficiency later in childhood.
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Affiliation(s)
- M P C M Luijk
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Linting
- Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
| | - J Henrichs
- Department of Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - C M Herba
- Department of Psychology, Université du Québec à Montréal and Centre de Recherche du CHU Sainte-Justine, Montréal, QC, Canada
| | - M L Verhage
- Department of Clinical Child and Family Studies, VU University Amsterdam, Amsterdam, The Netherlands
| | - J J Schenk
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - L R Arends
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Institute for Psychology, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - H Raat
- Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - F C Verhulst
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Psychiatry, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M H van IJzendoorn
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
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43
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de Jonge EAL, Kiefte-de Jong JC, Campos-Obando N, Booij L, Franco OH, Hofman A, Uitterlinden AG, Rivadeneira F, Zillikens MC. Dietary vitamin A intake and bone health in the elderly: the Rotterdam Study. Eur J Clin Nutr 2015; 69:1360-8. [PMID: 26373964 DOI: 10.1038/ejcn.2015.154] [Citation(s) in RCA: 14] [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] [Received: 11/17/2014] [Revised: 07/07/2015] [Accepted: 08/03/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES High vitamin A intake may be associated with a decreased bone mineral density (BMD) and increased risk of fractures. Our objectives were to study whether dietary intake of vitamin A (total, retinol or beta-carotene) is associated with BMD and fracture risk and if associations are modified by body mass index (BMI) and vitamin D. SUBJECTS/METHODS Participants were aged 55 years and older (n=5288) from the Rotterdam Study, a population-based prospective cohort. Baseline vitamin A and D intake was measured by a food frequency questionnaire. BMD was measured by dual-energy X-ray absorptiometry at four visits between baseline (1989-1993) and 2004. Serum vitamin D was assessed in a subgroup (n=3161). Fracture incidence data were derived from medical records with a mean follow-up time of 13.9 years. RESULTS Median intake of vitamin A ranged from 684 retinol equivalents (REs)/day (quintile 1) to 2000 REs/day (quintile 5). After adjustment for confounders related to lifestyle and socioeconomic status, BMD was significantly higher in subjects in the highest quintile of total vitamin A (mean difference in BMD (95% confidence interval (CI))=11.53 (0.37-22.7) mg/cm(2)) and retinol intake (mean difference in BMD (95% CI)=12.57 (1.10-24.05) mg/cm(2)) than in the middle quintile. Additional adjustment for BMI diluted these associations. Fracture risk was reduced in these subjects. Significant interaction was present between intake of retinol and overweight (BMI >25 kg/m(2)) in relation to fractures (P for interaction =0.05), but not BMD. Stratified analysis showed that these favourable associations with fracture risk were only present in overweight subjects (BMI >25 kg/m(2)). No effect modification by vitamin D intake or serum levels was observed. CONCLUSIONS Our results suggest a plausible favourable relation between high vitamin A intake from the diet and fracture risk in overweight subjects, whereas the association between vitamin A and BMD is mainly explained by BMI.
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Affiliation(s)
- E A L de Jonge
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands.,Erasmus MC, Department of Epidemiology, Rotterdam, The Netherlands
| | - J C Kiefte-de Jong
- Erasmus MC, Department of Epidemiology, Rotterdam, The Netherlands.,Department of Global Public Health, Leiden University College, The Hague, The Netherlands
| | - N Campos-Obando
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands
| | - L Booij
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands
| | - O H Franco
- Erasmus MC, Department of Epidemiology, Rotterdam, The Netherlands
| | - A Hofman
- Erasmus MC, Department of Epidemiology, Rotterdam, The Netherlands
| | - A G Uitterlinden
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands.,Erasmus MC, Department of Epidemiology, Rotterdam, The Netherlands
| | - F Rivadeneira
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands
| | - M C Zillikens
- Erasmus MC, Department of Internal Medicine, Rotterdam, The Netherlands
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Van der Velde N, Ham A, Ziere G, Broer L, Enneman A, van Dijk S, Swart K, van Wijngaarden J, van der Zwaluw N, Brouwer-Brolsma E, Dhonukshe-Rutten R, Van Schoor N, Zillikens M, van Gelder T, De Vries O, Lips P, Deeg D, De Groot L, Uitterlinden A, Hofman A, Witkamp R. O-097: Effect modification by CYP2C9 genotypes on benzodiazepine-related fall incidents, a meta-analysis. Eur Geriatr Med 2015. [DOI: 10.1016/s1878-7649(15)30584-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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45
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Zuurbier LA, Ikram MA, Luik AI, Hofman A, Van Someren EJW, Vernooij MW, Tiemeier H. Cerebral small vessel disease is related to disturbed 24-h activity rhythms: a population-based study. Eur J Neurol 2015. [PMID: 26206535 DOI: 10.1111/ene.12775] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [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)
- L. A. Zuurbier
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
| | - M. A. Ikram
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
- Department of Radiology; Erasmus MC; Rotterdam The Netherlands
- Department of Neurology; Erasmus MC; Rotterdam The Netherlands
| | - A. I. Luik
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
| | - A. Hofman
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
| | - E. J. W. Van Someren
- Department of Sleep and Cognition; Netherlands Institute for Neuroscience; Amsterdam The Netherlands
- Departments of Integrative Neurophysiology and Medical Psychology; VU University Medical Center; Amsterdam The Netherlands
| | - M. W. Vernooij
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
- Department of Radiology; Erasmus MC; Rotterdam The Netherlands
| | - H. Tiemeier
- Department of Epidemiology; Erasmus MC; Rotterdam The Netherlands
- Department of Child and Adolescent Psychiatry; Erasmus MC; Rotterdam The Netherlands
- Department of Psychiatry; Erasmus MC; Rotterdam The Netherlands
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46
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Gishti O, Jaddoe VWV, Duijts L, Franco OH, Hofman A, Ikram MK, Gaillard R. Influence of breastfeeding on retinal vessel calibers in school-age children. The Generation R Study. Eur J Clin Nutr 2015; 70:72-7. [DOI: 10.1038/ejcn.2015.113] [Citation(s) in RCA: 6] [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: 01/15/2015] [Revised: 03/26/2015] [Accepted: 04/24/2015] [Indexed: 11/10/2022]
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47
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Broere-Brown ZA, Schalekamp-Timmermans S, Hofman A, Jaddoe V, Steegers E. Fetal sex dependency of maternal vascular adaptation to pregnancy: a prospective population-based cohort study. BJOG 2015; 123:1087-95. [PMID: 26179828 DOI: 10.1111/1471-0528.13519] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2015] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To investigate fetal sex dependency of maternal vascular adaptation to pregnancy as assessed by uteroplacental vascular resistance and maternal blood pressure. DESIGN Prospective population-based cohort study. SETTING Rotterdam, the Netherlands. POPULATION In total, 8224 liveborn singleton pregnancies were included. METHODS Maternal vascular adaptation was assessed in all trimesters of pregnancy. Pregnancies were stratified into being either complicated by the placental syndrome (i.e. pre-eclampsia, fetal growth restriction or preterm birth, n = 1229) or uncomplicated (n = 6995). MAIN OUTCOME MEASURES First trimester: blood pressures. Second trimester: blood pressures, pulsatility index of the uterine artery (PI-UtA). Third trimester: blood pressures, PI-UtA, presence of notching in the uterine artery. RESULTS In women carrying a male fetus PI-UtA was higher than in women with a female fetus in the total group (second trimester P < 0.001, third trimester P = 0.005). Effect estimates differed between women with or without the placental syndrome. In the total group, women with a male fetus more often showed notching in the Doppler resistance pattern (odds ratio 1.42, 95% confidence interval 1.17-1.72). Different blood pressure patterns were observed between pregnant women with a male fetus and pregnant women with a female fetus and between complicated pregnancies and uncomplicated pregnancies. CONCLUSION Fetal sex is significantly associated with maternal vascular adaptation to pregnancy with differential effects in uncomplicated pregnancies and in pregnancies complicated by the placental syndrome. TWEETABLE ABSTRACT Fetal sex is significantly associated with maternal vascular adaptation to pregnancy.
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Affiliation(s)
- Z A Broere-Brown
- Department of Obstetrics and Gynaecology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - S Schalekamp-Timmermans
- Department of Obstetrics and Gynaecology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Vwv Jaddoe
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.,Department of Paediatrics, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Eap Steegers
- Department of Obstetrics and Gynaecology, Erasmus Medical Centre, Rotterdam, the Netherlands
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48
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Veldhuis-Vlug AG, Oei L, Souverein PC, Tanck MWT, Rivadeneira F, Zillikens MC, Kamphuisen PW, Maitland - van der Zee A, de Groot MCH, Hofman A, Uitterlinden AG, Fliers E, de Boer A, Bisschop PH. Association of polymorphisms in the beta-2 adrenergic receptor gene with fracture risk and bone mineral density. Osteoporos Int 2015; 26:2019-27. [PMID: 25910744 PMCID: PMC4483183 DOI: 10.1007/s00198-015-3087-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 02/20/2015] [Indexed: 12/18/2022]
Abstract
UNLABELLED Signaling through the beta-2 adrenergic receptor (B2AR) on the osteoblast influences bone remodeling in rodents. In the B2AR gene, three polymorphisms influence receptor function. We show that these polymorphisms are not associated with fracture risk or bone mineral density in the UCP, Rotterdam Study, and GEFOS cohorts. INTRODUCTION Signaling through the beta-2 adrenergic receptor (B2AR) on the osteoblast influences bone remodeling in rodents. In the B2AR gene, three polymorphisms are known to influence receptor function in vitro and in vivo (rs1042713, rs1042714, and rs1800888). We examined the role of these polymorphisms in the B2AR gene on human bone metabolism. METHODS We performed nested case-control studies to determine the association of these polymorphisms with fracture risk in the Utrecht Cardiovascular Pharmacogenetics (UCP) cohort and in three cohorts of the Rotterdam Study. We also determined the association of these polymorphisms with bone mineral density (BMD) in the GEFOS Consortium. UCP contains drug-dispensing histories from community pharmacies linked to national registrations of hospital discharges in the Netherlands. The Rotterdam Study is a prospective cohort study investigating demographics and risk factors of chronic diseases. GEFOS is a large international collaboration studying the genetics of osteoporosis. Fractures were defined by ICD-9 codes 800-829 in the UCP cohort (158 cases and 2617 unmatched controls) and by regular X-ray examinations, general practitioner, and hospital records in the Rotterdam Study (2209 cases and 8559 unmatched controls). BMD was measured at the femoral neck and lumbar spine using dual-energy X-ray absorptiometry in GEFOS (N = 32,961). RESULTS Meta-analysis of the two nested case-control studies showed pooled odds ratios of 0.98 (0.91-1.05, p = 0.52), 1.04 (0.97-1.12, p = 0.28), and 1.16 (0.83-1.62, p = 0.38) for the associations between rs1042713, rs1042714, and rs1800888 per minor allele and fractures, respectively. There were no significant associations of the polymorphisms and BMD in GEFOS. CONCLUSION In conclusion, polymorphisms in the beta-2 adrenergic receptor gene are not associated with fracture risk or BMD.
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Affiliation(s)
- A. G. Veldhuis-Vlug
- Department of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands
| | - L. Oei
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium of Healthy Aging (NCHA), Leiden, The Netherlands
| | - P. C. Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - M. W. T. Tanck
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - F. Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium of Healthy Aging (NCHA), Leiden, The Netherlands
| | - M. C. Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium of Healthy Aging (NCHA), Leiden, The Netherlands
| | - P. W. Kamphuisen
- Department of Vascular Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A.H. Maitland - van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - M. C. H. de Groot
- Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - A. Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium of Healthy Aging (NCHA), Leiden, The Netherlands
| | - A. G. Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium of Healthy Aging (NCHA), Leiden, The Netherlands
| | - E. Fliers
- Department of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands
| | - A. de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - P. H. Bisschop
- Department of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands
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49
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Gishti O, Jaddoe VWV, Hofman A, Wong TY, Ikram MK, Gaillard R. Body fat distribution, metabolic and inflammatory markers and retinal microvasculature in school-age children. The Generation R Study. Int J Obes (Lond) 2015; 39:1482-7. [PMID: 26028060 DOI: 10.1038/ijo.2015.99] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Revised: 01/13/2015] [Accepted: 05/22/2015] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To examine the associations of body fatness, metabolic and inflammatory markers with retinal vessel calibers among children. DESIGN We performed a population-based cohort study among 4145 school-age children. At the median age of 6.0 years (95% range 5.8, 8.0 years), we measured body mass index, total and abdominal fat mass, metabolic and inflammatory markers (blood levels of lipids, insulin and C-peptide and C-reactive protein) and retinal vascular calibers from retinal photographs. RESULTS We observed that compared with normal weight children, obese children had narrower retinal arteriolar caliber (difference -0.21 s.d. score (SDS; 95% confidence interval (CI) -0.35, -0.06)), but not venular caliber. Continuous analyses showed that higher body mass index and total body fat mass, but not android/gynoid fat mass ratio and pre-peritoneal fat mass, were associated with narrower retinal arteriolar caliber (P<0.05 for body mass index and total body fat mass), but not with retinal venular caliber. Lipid and insulin levels were not associated with retinal vessel calibers. Higher C-reactive protein was associated with only wider retinal venular caliber (difference 0.10 SDS (95% CI 0.06, 0.14) per SDS increase in C-reactive protein). This latter association was not influenced by body mass index. CONCLUSIONS Higher body fatness is associated with narrower retinal arteriolar caliber, whereas increased C-reactive protein levels are associated with wider retinal venular caliber. Increased fat mass and inflammation correlate with microvascular development from school-age onwards.
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Affiliation(s)
- O Gishti
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - T Y Wong
- Singapore Eye Research Institute, Singapore.,Duke-NUS Graduate Medical School, National University of Singapore, Singapore.,Memeory Aging & Cognition Centre (MACC), National University Health System, Singapore
| | - M K Ikram
- Singapore Eye Research Institute, Singapore.,Duke-NUS Graduate Medical School, National University of Singapore, Singapore.,Memeory Aging & Cognition Centre (MACC), National University Health System, Singapore.,Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - R Gaillard
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
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50
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de Vries PS, Kavousi M, Ligthart S, Uitterlinden AG, Hofman A, Franco OH, Dehghan A. Incremental predictive value of 152 single nucleotide polymorphisms in the 10-year risk prediction of incident coronary heart disease: the Rotterdam Study. Int J Epidemiol 2015; 44:682-8. [DOI: 10.1093/ije/dyv070] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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