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Gu C, Haldrup M, Rasmussen M, Dyrskog S, Simonsen CZ, Grønhøj MH, Poulsen FR, Busse T, Wismann J, Debrabant B, Korshoej AR. Descriptive registry study on outcome and complications of external ventricular drainage treatment of intraventricular haemorrhage in a Danish cohort: a study protocol. BMJ Open 2024; 14:e075997. [PMID: 38238178 PMCID: PMC10806758 DOI: 10.1136/bmjopen-2023-075997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/08/2024] [Indexed: 01/23/2024] Open
Abstract
INTRODUCTION Intraventricular haemorrhage (IVH) is associated with high morbidity and mortality. External ventricular drainage (EVD) has been shown to decrease mortality. Although EVD is widely used, outcome and complication rates in EVD-treated patients with IVH are not fully elucidated. This study aims to describe EVD complication rates and outcomes in patients with primary and secondary IVH at two university hospitals in Denmark. The study will provide a historical reference of relevant endpoints for use in future clinical trials involving patients with IVH. METHODS AND ANALYSIS This descriptive, multicentre registry study included adult patients (age 18+) with primary or secondary IVH and treated with at least one EVD between 2017 and 2021 at Aarhus University Hospital or Odense University Hospital. Patients are identified using the Danish National Patient Register. Data are collected and recorded from patient medical records. Relevant descriptive statistics and correlation analyses will be applied. ETHICS AND DISSEMINATION Ethical approval and authorisation to access, store and analyse data have been obtained (Central Denmark Region Committee on Health Research Ethics). The research lead will present the results of the study. Data will be reported according to the Strengthening the Reporting of Observational Studies in Epidemiology and results submitted for publication in peer-reviewed journals.
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Affiliation(s)
- Chenghao Gu
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Mette Haldrup
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Mads Rasmussen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark
| | - Stig Dyrskog
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Claus Ziegler Simonsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Mads Hjortdal Grønhøj
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- Clinical Institute, University of Southern Denmark, Odense, Denmark
| | - Frantz Rom Poulsen
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- Clinical Institute, University of Southern Denmark, Odense, Denmark
| | - Thor Busse
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
| | - Joakim Wismann
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
| | - Birgit Debrabant
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Anders Rosendal Korshoej
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Haldrup M, Miscov R, Mohamad N, Rasmussen M, Dyrskog S, Simonsen CZ, Grønhøj M, Poulsen FR, Bjarkam CR, Debrabant B, Korshøj AR. Treatment of Intraventricular Hemorrhage with External Ventricular Drainage and Fibrinolysis: A Comprehensive Systematic Review and Meta-Analysis of Complications and Outcome. World Neurosurg 2023; 174:183-196.e6. [PMID: 36642373 DOI: 10.1016/j.wneu.2023.01.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/13/2023]
Abstract
BACKGROUND External ventricular drainage (EVD) is a key factor in the treatment of intraventricular hemorrhage (IVH) but associated with risks and complications. Intraventricular fibrinolysis (IVF) has been proposed to improve clinical outcome and reduce complications of EVD treatment. The following review and metaanalysis provides a comprehensive evaluation of IVH treatment with external ventricular drainage (EVD) and intraventricular fibrinolysis (IVF) with regards to complications and clinical outcomes. METHODS The PRISMA guidelines were followed preparing this review. Studies included in the meta-analysis were compared using forest plots and the related odds ratios. RESULTS After a literature search, 980 articles were identified and 65 and underwent full-text review. Forty-two articles were included in the review and meta-analysis. We found that bolted and antibiotic-coated catheters were superior to tunnelled/uncoated catheters (P < 0.001) and antibiotic- vs. silver-impregnated catheters (P < 0.001]) in preventing infection. Shunt dependency was related to the volume of blood in the ventricles but unaffected by IVF (P = 0.98). IVF promoted hematoma clearance, decreased mortality (22.4% vs. 40.9% with IVF vs. no IVF, respectively, P < 0.00001), improved good functional outcomes (47.2% [IVF] vs. 38.3% [no IVF], P = 0.03), and reduced the rate of catheter occlusion from 37.3% without IVF to 10.6% with IVF (P = 0.0003). CONCLUSIONS We present evidence and best practice recommendations for the treatment of IVH with EVD and intraventricular fibrinolysis. Our analysis further provides a comprehensive quantitative reference of the most relevant clinical endpoints for future studies on novel IVH technologies and treatments.
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Affiliation(s)
- Mette Haldrup
- Department of Neurosurgery, Aarhus University Hospital, Aarhus N, Denmark.
| | - Rares Miscov
- Department of Neurosurgery, Aalborg University Hospital, Aalborg, Denmark
| | - Niwar Mohamad
- Department of Anesthesiology, Section of Neuroanesthesia, Aarhus University Hospital, Aarhus, Denmark
| | - Mads Rasmussen
- Department of Anesthesiology, Section of Neuroanesthesia, Aarhus University Hospital, Aarhus, Denmark
| | - Stig Dyrskog
- Department of Intensive Care, Aarhus University Hospital, Aarhus N, Denmark
| | - Claus Ziegler Simonsen
- Department of Neurology, Aarhus University Hospital, Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - Mads Grønhøj
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
| | | | | | - Birgit Debrabant
- Department of Mathematics and Computer Science, Data Science and Statistics, University of Southern Denmark, Odense M, Denmark
| | - Anders Rosendal Korshøj
- Department of Neurosurgery, Aarhus University Hospital, Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
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Pedersen NH, Grøntved A, Brønd JC, Møller NC, Larsen KT, Debrabant B, Koch S, Troelsen J, Brage S, Schipperijn J, Hjelmborg J, Wedderkopp N, Christiansen LB, Kristensen PL. Effect of nationwide school policy on device-measured physical activity in Danish children and adolescents: a natural experiment. Lancet Reg Health Eur 2023; 26:100575. [PMID: 36895450 PMCID: PMC9989658 DOI: 10.1016/j.lanepe.2022.100575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 01/12/2023]
Abstract
Background A new Danish school policy with a requirement for 45 min physical activity daily during school hours was introduced in 2014. The objective of this natural experiment was to evaluate the effect of this nationwide school policy on physical activity in Danish children and adolescents. Methods Four historical studies completed between 2009 and 2012 comprised the pre-policy study population. Post-policy data were collected in 2017/18. All post-policy schools were represented in the four pre-policy studies. Age-groups and seasons were matched. In total, 4816 children and adolescents aged 6-17 were included in the analyses (2346 pre-policy and 2470 post-policy). Children and adolescents were eligible if they had accelerometer measurements and did not have any physical disabilities preventing activity. Physical activity was measured by accelerometry. Main outcome was any bodily movement. Secondary outcomes were moderate to vigorous physical activity and overall movement volume (mean counts per minute). Findings The school policy interrupted a linear decreasing pre-policy trend in physical activity during school hours. All activity outcomes increased post-policy during a standardized school day (8:10 am-1 pm). Increases were more pronounced in the youngest children. Specifically, we observed a daily increase during a standardized school day in 2017/2018 of 14.2 min of movement (95% CI: 11.4-17.0, p < 0.001), 6.5 min of moderate to vigorous physical activity (95% CI: 4.7-8.3, P < 0.001), and 141.8 counts per minute (95% CI: 108.5-175.2, P < 0.001). Interpretation A national school policy may be an important strategy to increase physical activity during school hours among children and adolescents. Funding The Danish Foundation TrygFonden has funded the PHASAR project (ID 115606).
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Affiliation(s)
- Natascha H. Pedersen
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Anders Grøntved
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Jan C. Brønd
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Niels C. Møller
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Kristian T. Larsen
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Birgit Debrabant
- Data Science and Statistics, Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
- Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, J. B. Winsløws Vej 9, Odense C 5000, Denmark
| | - Sofie Koch
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark
| | - Jens Troelsen
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark
| | - Søren Brage
- MRC Epidemiology Unit, Cambridge School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Jasper Schipperijn
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark
| | - Jacob Hjelmborg
- Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, J. B. Winsløws Vej 9, Odense C 5000, Denmark
| | - Niels Wedderkopp
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
| | - Lars B. Christiansen
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark
| | - Peter L. Kristensen
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark
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Christensen PB, Debrabant B, Cowan S, Debrabant K, Øvrehus A, Duberg AS. Hepatitis C time trends in reported cases and estimates of the hidden population born before 1965, Denmark and Sweden, 1990 to 2020. Euro Surveill 2022; 27:2200243. [PMID: 36695470 PMCID: PMC9808318 DOI: 10.2807/1560-7917.es.2022.27.50.2200243] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BackgroundAccording to the World Health Organization, hepatitis C virus (HCV) infection should be under control by 2030.AimOur aim was to describe the size and temporal changes in reported cases of chronic HCV infection in Denmark and Sweden and to estimate the size of the hidden (undiagnosed) population born before 1965.MethodsWe extracted all HCV infections reported to national surveillance systems in Denmark and Sweden from 1990 to 2020. Prediction of the size of the hidden HCV-infected population was restricted to the cohort born before 1965 and cases reported up to 2017. We applied a model based on removal sampling from binomial distributions, estimated the yearly probability of diagnosis, and deducted the original HCV-infected population size.ResultsDenmark (clinician-based) reported 10 times fewer hepatitis C cases annually than Sweden (laboratory and clinician-based), peaking in 2007 (n = 425) and 1992 (n = 4,537), respectively. In Denmark, the birth year distribution was monophasic with little change over time. In recent years, Sweden has had a bimodal birth year distribution, suggesting ongoing infection in the young population. In 2017, the total HCV-infected population born before 1965 was estimated at 10,737 living persons (95% confidence interval (CI): 9,744-11,806), including 5,054 undiagnosed, in Denmark and 16,124 (95% CI: 13,639-18,978), including 10,580 undiagnosed, in Sweden.ConclusionsThe reporting of HCV cases in Denmark and Sweden was different. For Denmark, the estimated hidden population was larger than the current national estimate, whereas in Sweden the estimate was in line with the latest published numbers.
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Affiliation(s)
- Peer Brehm Christensen
- Department of Infectious Diseases Q, Odense University Hospital, Denmark,Clinical Institute, University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark,Department of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark
| | - Susan Cowan
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Kristian Debrabant
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Anne Øvrehus
- Department of Infectious Diseases Q, Odense University Hospital, Denmark,Clinical Institute, University of Southern Denmark, Odense, Denmark
| | - Ann-Sofi Duberg
- Department of Infectious Diseases, Faculty of Medicine and Health, School of Medical Sciences, Örebro University, Sweden
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Nygaard MS, Jul MS, Debrabant B, Madsen GI, Qvist N, Ellebæk MB. Remote ischemic postconditioning has a detrimental effect and remote ischemic preconditioning seems to have no effect on small intestinal anastomotic strength. Scand J Gastroenterol 2022; 57:768-774. [PMID: 35196954 DOI: 10.1080/00365521.2022.2041715] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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] [Indexed: 02/04/2023]
Abstract
BACKGROUND The effect of remote pre- and postconditioning on anastomotic healing has been sparsely studied. The aim of our study was to investigate whether remote ischemic conditioning (RIC) applied before and after the creation of a small bowel anastomosis had an effect on anastomotic healing on postoperative day five evaluated by a tensile strength test and histological analysis. MATERIALS AND METHODS Twenty-two female piglets were randomized into two groups. The intervention group (n = 12) received RIC on the forelimbs consisting of 15 min of ischemia followed by 30 min of reperfusion before the first end-to-end ileal anastomosis was created. The RIC procedure was repeated and the second and more distal anastomosis was performed. The control group (n = 10) had two similar anastomoses with similar time intervals but without RIC. On postoperative day five, the anastomoses were subjected to macroscopic evaluation, tensile strength test and histological examination. RESULTS Mean tensile strength when the first transmural rupture appeared (MATS-2) was significantly lower in the first anastomosis in the intervention group compared to the control group (11.4 N vs 14.7 N, p < .05). Similar result was found by the maximal strength (MATS-3) as defined by a drop in the load curve (12.3 N vs 15.9 N, p < .05). Histologically, a significantly higher necrosis score was found in the anastomosis in the intervention group (1.4 vs 0.8, p < .05). No other significant differences were found. CONCLUSIONS In conclusion, post-anastomotic remote ischemic conditioning had a detrimental effect and pre-anastomotic conditioning seems to have no effect on small intestinal anastomotic strength.
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Affiliation(s)
- Mathilde Skov Nygaard
- Research Unit for Surgery, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Mie Strandby Jul
- Research Unit for Surgery, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- Department of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense C, Denmark
| | - Gunvor Iben Madsen
- Research Unit for Pathology, Odense University Hospital, Odense, Denmark; University oif Southern Denmark, Odense, Denmark
| | - Niels Qvist
- Research Unit for Surgery, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Mark Bremholm Ellebæk
- Research Unit for Surgery, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
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Huan T, Nguyen S, Colicino E, Ochoa‐Rosales C, Hill WD, Brody JA, Soerensen M, Zhang Y, Baldassari A, Elhadad MA, Toshiko T, Zheng Y, Domingo‐Relloso A, Lee DH, Ma J, Yao C, Liu C, Hwang S, Joehanes R, Fornage M, Bressler J, van Meurs JB, Debrabant B, Mengel‐From J, Hjelmborg J, Christensen K, Vokonas P, Schwartz J, Gahrib SA, Sotoodehnia N, Sitlani CM, Kunze S, Gieger C, Peters A, Waldenberger M, Deary IJ, Ferrucci L, Qu Y, Greenland P, Lloyd‐Jones DM, Hou L, Bandinelli S, Voortman T, Hermann B, Baccarelli A, Whitsel E, Pankow JS, Levy D. Integrative analysis of clinical and epigenetic biomarkers of mortality. Aging Cell 2022; 21:e13608. [PMID: 35546478 PMCID: PMC9197414 DOI: 10.1111/acel.13608] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 03/03/2022] [Accepted: 03/24/2022] [Indexed: 01/28/2023] Open
Abstract
DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10-7 , of which 41 (EA) and 16 (AA) were also associated with CVD death, and 15 (EA) and 9 (AA) with cancer death. We built DNAm-based prediction models for all-cause mortality that predicted mortality risk after adjusting for clinical risk factors. The mortality prediction model trained by integrating DNAm with clinical risk factors showed an improvement in prediction of cancer death with 5% increase in the C-index in a replication cohort, compared with the model including clinical risk factors alone. Mendelian randomization identified 15 putatively causal CpGs in relation to longevity, CVD, or cancer risk. For example, cg06885782 (in KCNQ4) was positively associated with risk for prostate cancer (Beta = 1.2, PMR = 4.1 × 10-4 ) and negatively associated with longevity (Beta = -1.9, PMR = 0.02). Pathway analysis revealed that genes associated with mortality-related CpGs are enriched for immune- and cancer-related pathways. We identified replicable DNAm signatures of mortality and demonstrated the potential utility of CpGs as informative biomarkers for prediction of mortality risk.
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Affiliation(s)
- Tianxiao Huan
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
- Department of Ophthalmology and Visual SciencesUniversity of Massachusetts Medical SchoolWorcesterMassachusettsUSA
| | - Steve Nguyen
- Division of Epidemiology & Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Elena Colicino
- Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Carolina Ochoa‐Rosales
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
- Centro de Vida Saludable de la Universidad de ConcepciónConcepciónChile
| | - W. David Hill
- Department of PsychologyLothian Birth CohortsUniversity of EdinburghEdinburghUK
| | - Jennifer A. Brody
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Mette Soerensen
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical Biochemistry and PharmacologyCenter for Individualized Medicine in Arterial DiseasesOdense University HospitalOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Yan Zhang
- Division of Clinical Epidemiology & Aging ResearchGerman Cancer Rsrch Ctr (DKFZ)HeidelbergGermany
| | - Antoine Baldassari
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - Mohamed Ahmed Elhadad
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Tanaka Toshiko
- Translational Gerontology BranchNational Institute on AgingBaltimoreMarylandUSA
| | - Yinan Zheng
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Arce Domingo‐Relloso
- Department of Chronic Diseases EpidemiologyNational Center for EpidemiologyCarlos III Health InstituteMadridSpain
- Department of Environmental Health SciencesColumbia University Mailman School of Public HealthNew YorkNew YorkUSA
- Department of Statistics and Operations ResearchUniversity of ValenciaValenciaSpain
| | - Dong Heon Lee
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Jiantao Ma
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
- Nutrition Epidemiology and Data ScienceFriedman School of Nutrition Science and PolicyTufts UniversityBostonMassachusettsUSA
| | - Chen Yao
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Chunyu Liu
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Shih‐Jen Hwang
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Roby Joehanes
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Myriam Fornage
- Human Genetics CenterSchool of Public HealthUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Jan Bressler
- Department of Internal MedicineErasmusRotterdamthe Netherlands
| | | | - Birgit Debrabant
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
| | - Jonas Mengel‐From
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Jacob Hjelmborg
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
| | - Kaare Christensen
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Pantel Vokonas
- Veterans AffairsNormative Aging StudyBostonMassachusettsUSA
- Veterans AffairsBoston Healthcare SystemBostonMassachusettsUSA
- Boston University School of Public HealthBostonMassachusettsUSA
| | - Joel Schwartz
- Departments of Environmental Health and EpidemiologyHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - Sina A. Gahrib
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Department of PsychologyUniv of EdinburghEdinburghUK
| | - Nona Sotoodehnia
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Colleen M. Sitlani
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Sonja Kunze
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
| | - Christian Gieger
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Annette Peters
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
- German Center for Diabetes Research (DZD)München‐Neuherberg, NeuherbergGermany
- Institute of Medical Information Sciences, Biometry and EpidemiologyLudwig‐Maximilians‐UniversityMunichGermany
| | - Melanie Waldenberger
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Ian J. Deary
- Division of PulmonaryCritical Care and Sleep MedicineCenter for Lung BiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Luigi Ferrucci
- Translational Gerontology BranchNational Institute on AgingBaltimoreMarylandUSA
| | - Yishu Qu
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Philip Greenland
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Donald M. Lloyd‐Jones
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Lifang Hou
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | | | - Trudy Voortman
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Brenner Hermann
- Division of Clinical Epidemiology & Aging ResearchGerman Cancer Rsrch Ctr (DKFZ)HeidelbergGermany
- Network Aging Research (NAR)University of HeidelbergHeidelbergGermany
| | - Andrea Baccarelli
- Precision Medicine ProgramDepartment of Environmental Health SciencesMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
| | - Eric Whitsel
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
- Department of MedicineSchool of MedicineUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - James S. Pankow
- Division of Epidemiology & Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Daniel Levy
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
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7
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Gerke O, Pedersen AK, Debrabant B, Halekoh U, Möller S. Sample size determination in method comparison and observer variability studies. J Clin Monit Comput 2022; 36:1241-1243. [PMID: 35438365 DOI: 10.1007/s10877-022-00853-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/22/2022] [Indexed: 11/30/2022]
Abstract
The comparison of two quantitative measuring devices is often performed with the Limits of Agreement proposed by Bland and Altman in their seminal Lancet paper back in 1986. Sample size considerations were rare for such agreement analyses in the past, but recently several proposals have been made depending on how agreement is to be assessed and the number of replicates to be used. We have summarized recent developments and recommendations in various situations including a distinction between method comparison and observer variability studies. These include current state-of-the-art analysis of and reporting guidelines for agreement studies. General recommendations close the paper.
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Affiliation(s)
- Oke Gerke
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark. .,Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
| | - Andreas Kristian Pedersen
- Department of Research and Learning, Hospital of Southern Jutland, Aabenraa, Denmark.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Ulrich Halekoh
- Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark
| | - Sören Möller
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
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8
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Grønhøj MH, Jensen TSR, Sindby AK, Miscov R, Hundsholt T, Debrabant B, Bjarkam CR, Bergholt B, Fugleholm K, Poulsen FR. Postoperative drainage for 6, 12, or 24 h after burr-hole evacuation of chronic subdural hematoma in symptomatic patients (DRAIN-TIME 2): study protocol for a nationwide randomized controlled trial. Trials 2022; 23:213. [PMID: 35287694 PMCID: PMC8919549 DOI: 10.1186/s13063-022-06150-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 03/04/2022] [Indexed: 11/30/2022] Open
Abstract
Background Chronic subdural hematoma (CSDH) is a common acute or subacute neurosurgical condition, typically treated by burr-hole evacuation and drainage. Recurrent CSDH occurs in 5–20% of cases and requires reoperation in symptomatic patients, sometimes repeatedly. Postoperative subdural drainage of maximal 48 h is effective in reducing recurrent hematomas. However, the shortest possible drainage time without increasing the recurrence rate is unknown. Methods DRAIN-TIME 2 is a Danish multi-center, randomized controlled trial of postoperative drainage time including all four neurosurgical departments in Denmark. Both incapacitated and mentally competent patients are enrolled. Patients older than 18 years, free of other intracranial pathologies or history of previous brain surgery, are recruited at the time of admission or no later than 6 h after surgery. Each patient is randomized to either 6, 12, or 24 h of passive subdural drainage following single burr-hole evacuation of a CSDH. Mentally competent patients are asked to complete the SF-36 questionnaire. The primary endpoint is CSDH recurrence rate at 90 days. Secondary outcome measures include SF-36 at 90 days, length of hospital stay, drain-related complications, and complications related to immobilization and mortality. Discussion This multi-center trial will provide evidence regarding the shortest possible drainage time without increasing the recurrence rate. The potential impact of this study is significant as we believe that a shorter drainage period may be associated with fewer drain-related complications, fewer complications related to immobilization, and shorter hospital stays—thus reducing the overall health service burden from this condition. The expected benefits for patients’ lives and health costs will increase as the CSDH patient population grows. Trial registration ISRCTN Registry ISRCTN15186366. Registered in December 2020 and updated in October 2021. This protocol was developed in accordance with the SPIRIT Checklist and by use of the structured study protocol template provided by BMC Trials. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06150-x.
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9
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Jensen TSR, Haldrup M, Hjortdal Grønhøj M, Miscov R, Larsen CC, Debrabant B, Poulsen FR, Bergholt B, Hundsholt T, Bjarkam CR, Fugleholm K. National randomized clinical trial on subdural drainage time after chronic subdural hematoma evacuation. J Neurosurg 2021; 137:1-8. [PMID: 34972091 DOI: 10.3171/2021.10.jns211608] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/16/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Placement of a subdural drain reduces recurrence and death after evacuation of chronic subdural hematoma (CSDH), but little is known about optimal drainage duration. In the present national trial, the authors investigated the effect of drainage duration on recurrence and death. METHODS In a randomized controlled trial involving all neurosurgical departments in Denmark, patients treated with single burr hole evacuation of CSDH were randomly assigned to 24 hours or 48 hours of postoperative passive subdural drainage. Follow-up duration was 90 days, and the primary study outcome was recurrent hematoma requiring reoperation. Secondary outcome was death. In addition, complications and length of hospital stay were recorded and analyzed. RESULTS Of the 420 included patients, 212 were assigned 24-hour drainage and 208 were assigned 48-hour drainage. The recurrence rate was 14% in the 24-hour group and 13% in the 48-hour group. Four patients died in the 24-hour group, and 8 patients died in the 48-hour group; this difference was not statistically significant. The ORs (95% CIs) for recurrence and mortality (48 hours vs 24 hours) were 0.94 (0.53-1.66) and 2.07 (0.64-7.85), respectively, in the intention-to-treat analysis. The ORs (95% CIs) for recurrence and mortality per 1-hour increase in drainage time were 1.0005 (0.9770-1.0244) and 1.0046 (0.9564-1.0554), respectively, in the as-treated sensitivity analysis that used the observed drainage times instead of the preassigned treatment groups. The rates of surgical and drain-related complications, postoperative infections, and thromboembolic events were not different between groups. The mean ± SD postoperative length of hospital stay was 7.4 ± 4.3 days for patients who received 24-hour drainage versus 8.4 ± 4.9 days for those who received 48-hour drainage (p = 0.14). The mean ± SD postoperative length of stay in the neurosurgical department was significantly shorter for the 24-hour group (2 ± 0.9 days vs 2.8 ± 1.6 days, p < 0.001). CONCLUSIONS No significant differences in the rates of recurrent hematoma or death during 90-day follow-up were identified between the two groups that randomly received either 24- or 48-hour passive subdural drainage after burr hole evacuation of CSDH.
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Affiliation(s)
| | - Mette Haldrup
- 3Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Mads Hjortdal Grønhøj
- 2Department of Neurosurgery, Odense University Hospital and BRIDGE (Brain Research-Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
| | - Rares Miscov
- 4Department of Neurosurgery, Aalborg University Hospital, Aalborg, Denmark; and
| | - Carl Christian Larsen
- 1Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
- 2Department of Neurosurgery, Odense University Hospital and BRIDGE (Brain Research-Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- 5Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Frantz Rom Poulsen
- 2Department of Neurosurgery, Odense University Hospital and BRIDGE (Brain Research-Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
| | - Bo Bergholt
- 3Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Torben Hundsholt
- 4Department of Neurosurgery, Aalborg University Hospital, Aalborg, Denmark; and
| | | | - Kåre Fugleholm
- 1Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
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10
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Soerensen M, Debrabant B, Halekoh U, Møller JE, Hassager C, Frydland M, Hjelmborg J, Beck HC, Rasmussen LM. Does diabetes modify the effect of heparin on plasma proteins? - A proteomic search for plasma protein biomarkers for diabetes-related endothelial dysfunction. J Diabetes Complications 2021; 35:107906. [PMID: 33785251 DOI: 10.1016/j.jdiacomp.2021.107906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 11/11/2020] [Revised: 02/11/2021] [Accepted: 03/07/2021] [Indexed: 11/23/2022]
Abstract
AIM Heparin administration affects the concentrations of many plasma proteins through their displacement from the endothelial glycocalyx. A differentiated protein response in diabetes will therefore, at least partly, reflect glycocalyx changes. This study aims at identifying biomarkers of endothelial dysfunction in diabetes by statistical exploration of plasma proteome data for interactions between diabetes status and heparin treatment. METHODS Diabetes-by-heparin interactions in relation to protein levels were inspected by regression modelling in plasma proteome data from 497 patients admitted for acute angiography. Analyses were conducted separately for all 273 proteins and as set-based analyses of 44 heparin-relevant proteins identified by gene ontology analysis and 42 heparin-influenced proteins previously reported. RESULTS Seventy-five patients had diabetes and 361 received heparin before hospitalization. The proteome-wide analysis displayed no proteins with diabetes-heparin interaction to pass correction for multiple testing. The overall set-based analyses revealed significant association for both protein sets (p-values<2*10-4), while constraining on opposite directions of effect in diabetics and none-diabetics was insignificant (p-values = 0.11 and 0.17). CONCLUSIONS Our plasma proteome-wide interaction approach supports that diabetes influences heparin effects on protein levels, however the direction of effects and individual proteins could not be definitively pinpointed, likely reflecting a complex protein-basis for glycocalyx dysfunction in diabetes.
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Affiliation(s)
- Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000 Odense C, Denmark; Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark.
| | - Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000 Odense C, Denmark.
| | - Ulrich Halekoh
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000 Odense C, Denmark.
| | - Jacob Eifer Møller
- Department of Clinical Cardiology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; Department of Cardiology, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark.
| | - Christian Hassager
- Department of Cardiology, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark.
| | - Martin Frydland
- Department of Cardiology, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark.
| | - Jacob Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000 Odense C, Denmark.
| | - Hans Christian Beck
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark.
| | - Lars Melholt Rasmussen
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark.
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11
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Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ. Genetic Meta-Analysis of Twin Birth Weight Shows High Genetic Correlation with Singleton Birth Weight. Hum Mol Genet 2021; 30:1894-1905. [PMID: 33955455 PMCID: PMC8444448 DOI: 10.1093/hmg/ddab121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/19/2021] [Accepted: 04/20/2021] [Indexed: 01/09/2023] Open
Abstract
Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardio-metabolic disorders, autoimmune diseases, and mental health. On average, twins have a lower BW than singletons as a result of a different pattern of fetal growth and shorter gestational duration. Therefore, investigations into the genetics of BW often exclude data from twins, leading to a reduction in sample size and remaining ambiguities concerning the genetic contribution to BW in twins. In this study, we carried out a genome-wide association meta-analysis of BW in 42 212 twin individuals and found a positive correlation of beta values (Pearson's r = 0.66, 95% confidence interval [CI]: 0.47-0.77) with 150 previously reported genome-wide significant variants for singleton BW. We identified strong positive genetic correlations between BW in twins and numerous anthropometric traits, most notably with BW in singletons (genetic correlation [rg] = 0.92, 95% CI: 0.66-1.18). Genetic correlations of BW in twins with a series of health-related traits closely resembled those previously observed for BW in singletons. Polygenic scores constructed from a genome-wide association study on BW in UK Biobank demonstrated strong predictive power in a target sample of Dutch twins and singletons. Together, our results indicate that a similar genetic architecture underlies BW in twins and singletons and that future genome-wide studies might benefit from including data from large twin registers.
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Affiliation(s)
- Jeffrey J Beck
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - René Pool
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Margot van de Weijer
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Xu Chen
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Eva Krapohl
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Scott D Gordon
- Genetic Epidemiology Laboratory, QIMR Berghofer, Brisbane, Queensland, Australia
| | - Marianne Nygaard
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Teemu Palviainen
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Matthijs D van der Zee
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Bart Baselmans
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands.,Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Casey T Finnicum
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Lu Yi
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Toos van Beijsterveldt
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lene Christiansen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kauko Heikkilä
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Julie Kittelsrud
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Anu Loukola
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Miina Ollikainen
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nicholas G Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer, Brisbane, Queensland, Australia
| | - Robert Plomin
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michel Nivard
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Conor Dolan
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Eco de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Erik A Ehli
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Dorret I Boomsma
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America.,Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
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12
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Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2021; 12:2463. [PMID: 33893282 PMCID: PMC8065049 DOI: 10.1038/s41467-021-22613-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-22613-2
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Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, China
- China National Genebank, BGI-Shenzhen, Shenzhen, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Icelandic Heart Association, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Bruce M 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
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, Paris, France
| | - Jerome I Rotter
- 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
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
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Theodorsdottir A, Debrabant B, Magyari M, Kant M, Rasmussen PV, Malmberg CF, Norberg IA, Hansen V, Bech D, Schmidt MF, Schreiber K, Frederiksen JL, Sellebjerg F, Illes Z. Alemtuzumab treatment in Denmark: A national study based on the Danish Multiple Sclerosis Registry. Mult Scler 2021; 27:2254-2266. [PMID: 33779361 DOI: 10.1177/13524585211003291] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To investigate clinical outcomes in a real-world setting in the complete population-based cohort of alemtuzumab-treated MS patients in Denmark. METHODS Data were retrieved from The Danish Multiple Sclerosis Registry between 2009 and 2019. Demographic and disease-specific patient parameters related to treatment history, efficacy, and safety outcomes were assessed at baseline and during follow-up visits. RESULTS A total of 209 patients (78% female) started treatment with alemtuzumab during the study period with 3.1 ± 1.4 years follow-up. After 2 years, 75% of patients were relapse-free compared to 48% the year before alemtuzumab (p < 0.001). The annual number of relapses was reduced by 69% in year 4 compared with the year prior alemtuzumab. More active disease before alemtuzumab increased the annual hazard rate for relapse (HR: 2.88, p < 0.001). The Expanded Disability Status Scale (EDSS) score remained stable or improved in 81% of patients after 2 years. The need for an additional treatment course was associated with higher number of relapses in the year before alemtuzumab (odds ratio (OR) = 1.95, p = 0.001). CONCLUSION In a country with primarily escalation strategy, relapse rate reduction was maintained for 5 years, and EDSS stabilized/improved in majority of patients. Higher relapse rate 1 year before alemtuzumab increased the odds for additional courses. Novel serious AEs were not observed.
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Affiliation(s)
- Asta Theodorsdottir
- Department of Neurology, Odense University Hospital, Odense, Denmark/Department of Neurology, Hospital Lillebaelt, Kolding, Denmark/Institute of Clinical Research, University of Southern Denmark, Odense, Denmark/OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Birgit Debrabant
- Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Melinda Magyari
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark/The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Matthias Kant
- Department of Neurology, Hospital of Southern Jutland, Sønderborg, Denmark
| | - Peter V Rasmussen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Iver A Norberg
- Department of Neurology, Odense University Hospital, Odense, Denmark
| | - Victoria Hansen
- Department of Neurology, Aalborg University Hospital, Aalborg, Denmark
| | - Danny Bech
- Department of Neurology, Regional Hospital of Viborg, Viborg, Denmark
| | - Mathias F Schmidt
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Karen Schreiber
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Jette L Frederiksen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark/The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Zsolt Illes
- Department of Neurology, Odense University Hospital, Odense, Denmark/Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
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14
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Ørskov PT, Norup A, Debrabant B, Beatty EL. Increasing Working Memory in Young Healthy Adults: a Cluster Randomized Controlled Trial of a Multifaceted Brain Training Intervention. J Cogn Enhanc 2020. [DOI: 10.1007/s41465-020-00191-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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15
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Haldrup M, Ketharanathan B, Debrabant B, Schwartz OS, Mikkelsen R, Fugleholm K, Poulsen FR, Jensen TSR, Thaarup LV, Bergholt B. Response to letter regarding: embolization of the middle meningeal artery in patients with chronic subdural hematoma - a review and meta-analysis. Acta Neurochir (Wien) 2020; 162:2031. [PMID: 32399690 DOI: 10.1007/s00701-020-04393-8] [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] [Received: 04/29/2020] [Accepted: 05/01/2020] [Indexed: 10/24/2022]
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16
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Bie P, Debrabant B. Gonadal sex and animal experimentation: Perfection vs. 3R principle? Basic Clin Pharmacol Toxicol 2020; 127:111-119. [DOI: 10.1111/bcpt.13411] [Citation(s) in RCA: 4] [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] [Received: 10/21/2019] [Revised: 03/26/2020] [Accepted: 03/30/2020] [Indexed: 12/17/2022]
Affiliation(s)
- Peter Bie
- Department of Cardiovascular and Renal Research Institute of Molecular Medicine University of Southern Denmark Odense Denmark
| | - Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark Odense Denmark
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17
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Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2019; 10:3669. [PMID: 31413261 PMCID: PMC6694136 DOI: 10.1038/s41467-019-11558-2] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [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] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/17/2019] [Indexed: 12/16/2022] Open
Abstract
Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
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Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, 50866, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National Genebank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, 3498838, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Icelandic Heart Association, 201, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, 75010, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, 91000, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), 40124, Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, 93017, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, 201, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1007 MB, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, 33104, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33521, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, 13010, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, 24105, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 311058, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, 5000, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, 97239, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20521, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20014, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, 94801, Paris, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, BS8 2BN, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, 18057, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, 100871, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, 27710, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, 02142, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, 01702, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
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18
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Soerensen M, Li W, Debrabant B, Nygaard M, Mengel-From J, Frost M, Christensen K, Christiansen L, Tan Q. Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength. Biogerontology 2019; 20:627-647. [PMID: 31254144 PMCID: PMC6733812 DOI: 10.1007/s10522-019-09818-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 06/24/2019] [Indexed: 01/02/2023]
Abstract
Hand grip strength is a measure of muscular strength and is used to study age-related loss of physical capacity. In order to explore the biological mechanisms that influence hand grip strength variation, an epigenome-wide association study (EWAS) of hand grip strength in 672 middle-aged and elderly monozygotic twins (age 55–90 years) was performed, using both individual and twin pair level analyses, the latter controlling the influence of genetic variation. Moreover, as measurements of hand grip strength performed over 8 years were available in the elderly twins (age 73–90 at intake), a longitudinal EWAS was conducted for this subsample. No genome-wide significant CpG sites or pathways were found, however two of the suggestive top CpG sites were mapped to the COL6A1 and CACNA1B genes, known to be related to muscular dysfunction. By investigating genomic regions using the comb-p algorithm, several differentially methylated regions in regulatory domains were identified as significantly associated to hand grip strength, and pathway analyses of these regions revealed significant pathways related to the immune system, autoimmune disorders, including diabetes type 1 and viral myocarditis, as well as negative regulation of cell differentiation. The genes contributing to the immunological pathways were HLA-B, HLA-C, HLA-DMA, HLA-DPB1, MYH10, ERAP1 and IRF8, while the genes implicated in the negative regulation of cell differentiation were IRF8, CEBPD, ID2 and BRCA1. In conclusion, this exploratory study suggests hand grip strength to associate with differentially methylated regions enriched in immunological and cell differentiation pathways, and hence merits further investigations.
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Affiliation(s)
- Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark. .,Department of Clinical Biochemistry and Pharmacology, Center for Individualized Medicine in Arterial Diseases, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark. .,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark.
| | - Weilong Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
| | - Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Morten Frost
- Endocrine Research Unit, KMEB, University of Southern Denmark, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
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19
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Olesen MN, Soelberg K, Debrabant B, Nilsson AC, Lillevang ST, Grauslund J, Brandslund I, Madsen JS, Paul F, Smith TJ, Jarius S, Asgari N. Cerebrospinal fluid biomarkers for predicting development of multiple sclerosis in acute optic neuritis: a population-based prospective cohort study. J Neuroinflammation 2019; 16:59. [PMID: 30857557 PMCID: PMC6410527 DOI: 10.1186/s12974-019-1440-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [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: 09/13/2018] [Accepted: 02/22/2019] [Indexed: 12/02/2022] Open
Abstract
Background Long-term outcome in multiple sclerosis (MS) depends on early treatment. In patients with acute optic neuritis (ON), an early inflammatory event, we investigated markers in cerebrospinal fluid (CSF), which may predict a diagnosis of MS. Methods Forty patients with acute ON were recruited in a prospective population-based cohort with median 29 months (range 19–41) of follow-up. Paired CSF and serum samples were taken within 14 days (range 2–38), prior to treatment. Prospectively, 16/40 patients were by a uniform algorithm diagnosed with MS (MS-ON) and 24 patients continued to manifest isolated ON (ION) during follow-up. Levels of cytokines and neurofilament light chain (NF-L) were measured at the onset of acute ON and compared to healthy controls (HC). Significance levels were corrected for multiple comparisons (“q”). The predictive value of biomarkers was determined with multivariable prediction models using nomograms. Results CSF TNF-α, IL-10, and CXCL13 levels were increased in MS-ON compared to those in ION patients (q = 0.021, 0.004, and 0.0006, respectively). MS-ON patients had increased CSF pleocytosis, IgG indices, and oligoclonal bands (OCBs) compared to ION (q = 0.0007, q = 0.0058, and q = 0.0021, respectively). CSF levels of IL-10, TNF-a, IL-17A, and CXCL13 in MS-ON patients correlated with leukocyte counts (r > 0.69 and p < 0.002) and IgG index (r > 0.55, p < 0.037). CSF NF-L levels were increased in ON patients compared to those in HC (q = 0.0077). In MS-ON, a progressive increase in NF-L levels was observed at 7 to 14 days after disease onset (r = 0.73, p < 0.0065). Receiver-operating characteristic (ROC) curves for two multivariable prediction models were generated, with IL-10, CXCL13, and NF-L in one (“candidate”) and IgG index, OCB, and leukocytes in another (“routine”). Area under the curve was 0.89 [95% CI 0.77–1] and 0.86 [0.74–0.98], respectively. Predictions of the risk of MS diagnosis were illustrated by two nomograms. Conclusions CSF TNF-α, IL-10, CXCL13, and NF-L levels were associated with the development of MS, suggesting that the inflammatory and neurodegenerative processes occurred early. Based on subsequent diagnosis, we observed a high predictive value of routine and candidate biomarkers in CSF for the development of MS in acute ON. The nomogram predictions may be useful in the diagnostic work-up of MS. Electronic supplementary material The online version of this article (10.1186/s12974-019-1440-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M N Olesen
- Department of Neurology, Slagelse Hospital, Slagelse, Denmark.,Department of Clinical Immunology and Biochemistry, Lillebælt Hospital, Vejle, Denmark.,Institutes of Regional Health Research and Molecular Medicine, University of Southern Denmark, Winsloewsvej 25.2, 5000, Odense C, Denmark
| | - K Soelberg
- Department of Internal Medicine, Slagelse Hospital, Slagelse, Denmark.,Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.,Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - B Debrabant
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - A C Nilsson
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - S T Lillevang
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - J Grauslund
- Department of Ophthalmology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - I Brandslund
- Department of Clinical Immunology and Biochemistry, Lillebælt Hospital, Vejle, Denmark.,Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - J S Madsen
- Department of Clinical Immunology and Biochemistry, Lillebælt Hospital, Vejle, Denmark.,Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - F Paul
- Clinical and Experimental Multiple Sclerosis Research Center and NeuroCure Clinical Research Center, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - T J Smith
- Departments of Ophthalmology and Visual Sciences and Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - S Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - N Asgari
- Department of Neurology, Slagelse Hospital, Slagelse, Denmark. .,Institutes of Regional Health Research and Molecular Medicine, University of Southern Denmark, Winsloewsvej 25.2, 5000, Odense C, Denmark. .,Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark.
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20
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Hulbæk M, Jørgensen MJ, Mainz H, Birkelund R, Nielson JB, Debrabant B, Primdahl J. Danish Translation, Cultural Adaptation and Validation of the Shared Decision Making Questionnaire - Patient Version (SDM-Q-9-Pat). ACTA ACUST UNITED AC 2018. [DOI: 10.5750/ejpch.v6i3.1529] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Aims and objectives: No validated version of the 9-item Shared Decision Making Questionnaire (SDM-Q-9) in Danish is available. The aim of the study was to translate, culturally adapt and psychometrically test a Danish version of the SDM-Q-9 in 2 patient groups: elderly patients from outpatient gynecology clinics and a group of younger patients from an outpatient sports clinic.Method: The SDM-Q-9, patient version, was translated into Danish through a standardized forward-backward translation performed by 4 independent translators, followed by cognitive interviewing of 11 outpatients from the 2 patient groups. The process was adjusted by an expert panel. The psychometric testing was performed at 5 Danish hospital departments. Reliability (internal consistency) was estimated by Cronbach’s alpha. Construct validity was determined by confirmatory and explanatory factor analysis.Results: A total of 268 patients (218 gynecological and 50 knee patients) were included. The scale had high reliability (Cronbach’s alpha of 0.94). A high ceiling effect was found (44% with the highest rating). None of the tested models in the confirmatory analysis had a good fit. The explanatory factor analysis for the whole sample yielded a unidimensional factor, which explained 91% of variances with high factor loadings of more than 0.7.Conclusion: The Danish version of the SDM-Q-9 is a well-accepted, reliable and - despite the challenges of a high ceiling effect - valid instrument in the tested populations. Further psychometrical testing in other populations is necessary as well as research with other convergent instruments to demonstrate consistency over time and between patient groups.
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21
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Savage JE, Jansen PR, Stringer S, Watanabe K, Bryois J, de Leeuw CA, Nagel M, Awasthi S, Barr PB, Coleman JRI, Grasby KL, Hammerschlag AR, Kaminski JA, Karlsson R, Krapohl E, Lam M, Nygaard M, Reynolds CA, Trampush JW, Young H, Zabaneh D, Hägg S, Hansell NK, Karlsson IK, Linnarsson S, Montgomery GW, Muñoz-Manchado AB, Quinlan EB, Schumann G, Skene NG, Webb BT, White T, Arking DE, Avramopoulos D, Bilder RM, Bitsios P, Burdick KE, Cannon TD, Chiba-Falek O, Christoforou A, Cirulli ET, Congdon E, Corvin A, Davies G, Deary IJ, DeRosse P, Dickinson D, Djurovic S, Donohoe G, Conley ED, Eriksson JG, Espeseth T, Freimer NA, Giakoumaki S, Giegling I, Gill M, Glahn DC, Hariri AR, Hatzimanolis A, Keller MC, Knowles E, Koltai D, Konte B, Lahti J, Le Hellard S, Lencz T, Liewald DC, London E, Lundervold AJ, Malhotra AK, Melle I, Morris D, Need AC, Ollier W, Palotie A, Payton A, Pendleton N, Poldrack RA, Räikkönen K, Reinvang I, Roussos P, Rujescu D, Sabb FW, Scult MA, Smeland OB, Smyrnis N, Starr JM, Steen VM, Stefanis NC, Straub RE, Sundet K, Tiemeier H, Voineskos AN, Weinberger DR, Widen E, Yu J, Abecasis G, Andreassen OA, Breen G, Christiansen L, Debrabant B, Dick DM, Heinz A, Hjerling-Leffler J, Ikram MA, Kendler KS, Martin NG, Medland SE, Pedersen NL, Plomin R, Polderman TJC, Ripke S, van der Sluis S, Sullivan PF, Vrieze SI, Wright MJ, Posthuma D. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat Genet 2018; 50:912-919. [PMID: 29942086 PMCID: PMC6411041 DOI: 10.1038/s41588-018-0152-6] [Citation(s) in RCA: 596] [Impact Index Per Article: 99.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 04/20/2018] [Indexed: 01/17/2023]
Abstract
Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
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Affiliation(s)
- Jeanne E Savage
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip R Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sven Stringer
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Kyoko Watanabe
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Christiaan A de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mats Nagel
- Department of Clinical Genetics, Section of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU Medical Center, Amsterdam, The Netherlands
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Peter B Barr
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Jonathan R I Coleman
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
| | - Katrina L Grasby
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jakob A Kaminski
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Eva Krapohl
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Max Lam
- Institute of Mental Health, Singapore, Singapore
| | - Marianne Nygaard
- The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Joey W Trampush
- BrainWorkup, LLC, Los Angeles, CA, USA
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hannah Young
- Department of Psychology, University of Minnesota, St. Paul, MN, USA
| | - Delilah Zabaneh
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Narelle K Hansell
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Ida K Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sten Linnarsson
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Ana B Muñoz-Manchado
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Erin B Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, MRC-SGDP Centre, King's College London, London, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, MRC-SGDP Centre, King's College London, London, UK
| | - Nathan G Skene
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- UCL Institute of Neurology, Queen Square, London, UK
| | - Bradley T Webb
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dimitrios Avramopoulos
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Robert M Bilder
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Panos Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Katherine E Burdick
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Ornit Chiba-Falek
- Department of Neurology, Bryan Alzheimer's Disease Research Center, and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA
| | - Andrea Christoforou
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | | | - Eliza Congdon
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Pamela DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Dwight Dickinson
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, US National Institutes of Health, Bethesda, MD, USA
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, University of Bergen, Oslo, Norway
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
| | - Gary Donohoe
- Neuroimaging, Cognition, and Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | | | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Nelson A Freimer
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Ina Giegling
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Alex Hatzimanolis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
- University Mental Health Research Institute, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Emma Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Deborah Koltai
- Psychiatry and Behavioral Sciences, Division of Medical Psychology and Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - Bettina Konte
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Stephanie Le Hellard
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
| | - Todd Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - David C Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Edythe London
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences and Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- K.G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Anil K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Ingrid Melle
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Derek Morris
- Neuroimaging, Cognition, and Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Anna C Need
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - William Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Center for Human Genetic Research, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Antony Payton
- Centre for Epidemiology, Division of Population Health, Health Services Research, and Primary Care, University of Manchester, Manchester, UK
| | - Neil Pendleton
- Division of Neuroscience and Experimental Psychology/School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Salford Royal NHS Foundation Trust, Manchester, UK
| | | | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA
- Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dan Rujescu
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Fred W Sabb
- Robert and Beverly Lewis Center for Neuroimaging, University of Oregon, Eugene, OR, USA
| | - Matthew A Scult
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Olav B Smeland
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Nikolaos Smyrnis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
- University Mental Health Research Institute, Athens, Greece
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Vidar M Steen
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
| | - Nikos C Stefanis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
- University Mental Health Research Institute, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Richard E Straub
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Kjetil Sundet
- Department of Psychology, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jin Yu
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gerome Breen
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
| | - Lene Christiansen
- The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Jens Hjerling-Leffler
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Plomin
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Tinca J C Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sophie van der Sluis
- Department of Clinical Genetics, Section of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU Medical Center, Amsterdam, The Netherlands
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Scott I Vrieze
- Department of Psychology, University of Minnesota, St. Paul, MN, USA
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Department of Clinical Genetics, Section of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU Medical Center, Amsterdam, The Netherlands.
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22
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Mose LS, Pedersen SS, Debrabant B, Jensen RH, Gram B. The role of personality, disability and physical activity in the development of medication-overuse headache: a prospective observational study. J Headache Pain 2018; 19:39. [PMID: 29802536 PMCID: PMC5970129 DOI: 10.1186/s10194-018-0863-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [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: 02/23/2018] [Accepted: 05/06/2018] [Indexed: 01/03/2023] Open
Abstract
Background Factors associated with development of medication-overuse headache (MOH) in migraine patients are not fully understood, but with respect to prevention, the ability to predict the onset of MOH is clinically important. The aims were to examine if personality characteristics, disability and physical activity level are associated with the onset of MOH in a group of migraine patients and explore to which extend these factors combined can predict the onset of MOH. Methods The study was a single-center prospective observational study of migraine patients. At inclusion, all patients completed questionnaires evaluating 1) personality (NEO Five-Factor Inventory), 2) disability (Migraine Disability Assessment), and 3) physical activity level (Physical Activity Scale 2.1). Diagnostic codes from patients’ electronic health records confirmed if they had developed MOH during the study period of 20 months. Analyses of associations were performed and to identify which of the variables predict onset MOH, a multivariable least absolute shrinkage and selection operator (LASSO) logistic regression model was fitted to predict presence or absence of MOH. Results Out of 131 participants, 12 % (n=16) developed MOH. Migraine disability score (OR=1.02, 95 % CI: 1.00 to 1.04), intensity of headache (OR=1.49, 95 % CI: 1.03 to 2.15) and headache frequency (OR=1.02, 95 % CI: 1.00 to 1.04) were associated with the onset of MOH adjusting for age and gender. To identify which of the variables predict onset MOH, we used a LASSO regression model, and evaluating the predictive performance of the LASSO-mode (containing the predictors MIDAS score, MIDAS-intensity and –frequency, neuroticism score, time with moderate physical activity, educational level, hours of sleep daily and number of contacts to the headache clinic) in terms of area under the curve (AUC) was weak (apparent AUC=0.62, 95% CI: 0.41-0.82). Conclusion Disability, headache intensity and frequency were associated with the onset of MOH whereas personality and the level of physical activity were not. The multivariable LASSO model based on personality, disability and physical activity is applicable despite moderate study size, however it can be considered as a weak classifier for discriminating between absence and presence of MOH.
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Affiliation(s)
- Louise S Mose
- Department of Neurology, Hospital Southwest Jutland, Esbjerg, Denmark. .,The Research Unit of Health Science, Hospital of Southwest Jutland, Esbjerg and Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
| | - Susanne S Pedersen
- Department of Psychology, University of Southern Denmark, Odense, Denmark.,Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Rigmor H Jensen
- Danish Headache Centre, Department of Neurology, Rigshospitalet-Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - Bibi Gram
- The Research Unit of Health Science, Hospital of Southwest Jutland, Esbjerg and Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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23
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Svane AM, Soerensen M, Lund J, Tan Q, Jylhävä J, Wang Y, Pedersen NL, Hägg S, Debrabant B, Deary IJ, Christensen K, Christiansen L, Hjelmborg JB. DNA Methylation and All-Cause Mortality in Middle-Aged and Elderly Danish Twins. Genes (Basel) 2018; 9:E78. [PMID: 29419728 PMCID: PMC5852574 DOI: 10.3390/genes9020078] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 01/16/2018] [Accepted: 01/25/2018] [Indexed: 11/16/2022] Open
Abstract
Several studies have linked DNA methylation at individual CpG sites to aging and various diseases. Recent studies have also identified single CpGs whose methylation levels are associated with all-cause mortality. In this study, we perform an epigenome-wide study of the association between CpG methylation and mortality in a population of 435 monozygotic twin pairs from three Danish twin studies. The participants were aged 55-90 at the time of blood sampling and were followed for up to 20 years. We validated our results by comparison with results from a British and a Swedish cohort, as well as results from the literature. We identified 2806 CpG sites associated with mortality (false discovery rate ( FDR ) < 0.05 ), of which 24 had an association p-value below 10 - 7 . This was confirmed by intra-pair comparison controlling for confounding effects. Eight of the 24 top sites could be validated in independent datasets or confirmed by previous studies. For all these eight sites, hypomethylation was associated with poor survival prognosis, and seven showed monozygotic correlations above 35%, indicating a potential moderate to strong heritability, but leaving room for substantial shared or unique environmental effects. We also set up a predictor for mortality using least absolute shrinkage and selection operator (LASSO) regression. The predictor showed good performance on the Danish data under cross-validation, but did not perform very well in independent samples.
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Affiliation(s)
- Anne Marie Svane
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
| | - Mette Soerensen
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
| | - Jesper Lund
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark.
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Yunzhang Wang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Birgit Debrabant
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
| | - Ian J Deary
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
- Center for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, lEdinburgh EH8 9JZ, UK.
| | - Kaare Christensen
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark.
| | - Lene Christiansen
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
| | - Jacob B Hjelmborg
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
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24
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Debrabant B, Halekoh U, Bonat WH, Hansen DL, Hjelmborg J, Lauritsen J. Identifying traffic accident black spots with Poisson-Tweedie models. Accid Anal Prev 2018; 111:147-154. [PMID: 29202323 DOI: 10.1016/j.aap.2017.11.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 09/20/2017] [Accepted: 11/16/2017] [Indexed: 06/07/2023]
Abstract
This paper aims at the identification of black spots for traffic accidents, i.e. locations with accident counts beyond what is usual for similar locations, using spatially and temporally aggregated hospital records from Funen, Denmark. Specifically, we apply an autoregressive Poisson-Tweedie model, which covers a wide range of discrete distributions and handles zero-inflation as well as overdispersion. The estimated power parameter of the model was 1.6 (SE=0.06) suggesting a distribution close to the Pólya-Aeppli distribution. We identified nine black spots consistently standing out in all six considered calendar years and calculated by simulations a probability of p=0.03 for these to be chance findings. Altogether, our results recommend these sites for further investigation and suggest that our simple approach could play a role in future area based traffic accident prevention planning.
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Affiliation(s)
- Birgit Debrabant
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Ulrich Halekoh
- Department of Public Health, University of Southern Denmark, Odense, Denmark.
| | - Wagner Hugo Bonat
- Department of Statistics, Paraná Federal University, Curitiba, Brazil
| | - Dennis L Hansen
- Accident Analysis Group, Department of Ortopedics, Odense University Hospital, Odense, Denmark; Department of Clinical Medicine, University of Southern Denmark, Odense, Denmark
| | - Jacob Hjelmborg
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jens Lauritsen
- Accident Analysis Group, Department of Ortopedics, Odense University Hospital, Odense, Denmark; Department of Clinical Medicine, University of Southern Denmark, Odense, Denmark
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25
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Debrabant B. The null hypothesis of GSEA, and a novel statistical model for competitive gene set analysis. Bioinformatics 2018; 33:1271-1277. [PMID: 28453686 DOI: 10.1093/bioinformatics/btw803] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 12/21/2016] [Indexed: 11/14/2022] Open
Abstract
Motivation Competitive gene set analysis intends to assess whether a specific set of genes is more associated with a trait than the remaining genes. However, the statistical models assumed to date to underly these methods do not enable a clear cut formulation of the competitive null hypothesis. This is a major handicap to the interpretation of results obtained from a gene set analysis. Results This work presents a hierarchical statistical model based on the notion of dependence measures, which overcomes this problem. The two levels of the model naturally reflect the modular structure of many gene set analysis methods. We apply the model to show that the popular GSEA method, which recently has been claimed to test the self-contained null hypothesis, actually tests the competitive null if the weight parameter is zero. However, for this result to hold strictly, the choice of the dependence measures underlying GSEA and the estimators used for it is crucial. Contact bdebrabant@health.sdu.dk. Supplementary information Supplementary material is available at Bioinformatics online.
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Affiliation(s)
- Birgit Debrabant
- Department of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 5000 Odense C, Denmark
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26
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Debrabant B, Soerensen M, Christiansen L, Tan Q, McGue M, Christensen K, Hjelmborg J. DNA methylation age and perceived age in elderly Danish twins. Mech Ageing Dev 2018; 169:40-44. [PMID: 28965790 PMCID: PMC6190692 DOI: 10.1016/j.mad.2017.09.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 08/18/2017] [Accepted: 09/20/2017] [Indexed: 11/27/2022]
Abstract
Perceived age is an easily accessible biomarker of aging. Here, we studied its relation to DNA methylation age (DNAm age) as introduced in (Horvath, 2013) in 180 elderly Danish twins. We found perceived age and DNAm age to be associated with chronological age (P=0.04 resp. P=2.2e-10) when correcting for gender, but did not see an association between perceived age and DNAm age (P=0.44). Intrapair-analysis showed that the proportion of pairs where the twin with the highest perceived age also had the highest DNAm age was not different from 0.5 (P=1), and we did not see a trend when dividing pairs according to their difference in perceived age (P=0.36). Hence, intrapair analysis did not reveal links between perceived age and DNAm age. Moreover, none of the 353 CpGs underlying DNAm age was individually associated with perceived age after correction for multiple-testing (P>6e-4, FDR>0.21). Finally, when constructing an epigenetic signature based on these CpGs to predict perceived age, we only found a correlation of 0.18 (95%CI: -0.06 to 0.40) and a mean square error of 13.6 years2 between observed and predicted values in the test dataset, indicating poor predictive strength. Altogether, our results suggest that perceived age and DNAm age capture different aging aspects.
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Affiliation(s)
- Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
| | - Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark; The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark; The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark; Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA; Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark; The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jacob Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark; The Danish Twin Registry and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
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27
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O'Neill S, Jaszczak SLT, Steffensen AKS, Debrabant B. Using 4+ to grade near-normal muscle strength does not improve agreement. Chiropr Man Therap 2017; 25:28. [PMID: 29051814 PMCID: PMC5633899 DOI: 10.1186/s12998-017-0159-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [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: 06/15/2017] [Accepted: 09/11/2017] [Indexed: 11/17/2022] Open
Abstract
Background Manual assessment of muscle strength is often graded using the ordinal Medical Research Council (MRC) scale. The scale has a number of inherent weaknesses, including poorly defined limits between grades ‘4’ and ‘5’ and very large differences in the span of muscle strength encompassed by each of the six grades. It is not necessarily obvious how to convert a manual muscle test finding into an MRC grade. Several modifications which include intermediate grades have been suggested to improve the MRC scale and the current study examines whether agreement improves and variation in ratings decrease, with an intermediate grade between ‘4’ and ‘5’, in circumstances where such a grade would seem appropriate. The present study examined the hypothesis, that a modified MRC-scale which included the commonly used ‘4+’ option, resulted in greater agreement between clinicians compared to the standard MRC-scale. Method A questionnaire containing five simple clinical cases were distributed to a large convenience sample of chiropractors in Northern Europe, with instructions to grade the described muscle strength findings using the MRC scale. The scale was adapted (with/without an intermediate ‘4+’ grade) depending on the preference of the individual respondent. The cases were designed in such a way as to suggest a muscle weakness in the grey area between ‘4’ and ‘5’, i.e. grade ‘4+’ on the modified MRC scale. Results A total of 225 questionnaires were returned (7% response rate). The average percentage agreement (across cases) in the standard MRC group was 64% [range 51%: 73%] (grade ‘4’ in all cases). In the modified MRC group, the corresponding findings was 48% [38%: 74%] (grade ‘4’ or ‘4+’ in all cases). The mean average deviation analogue in the standard MRC group was 0.34 (range 0.34: 0.40), compared to 0.51 (range 0.39: 0.73) in the modified MRC group, indicating greater dispersion of scores in the modified MRC group. The Fleiss kappa was 0.02 (p < 0.001) and 0.13 (p < 0.001), respectively. Conclusions Contrary to the original hypothesis, introduction of a ‘4+’ grade did not clearly improve agreement or variability of ratings, despite eliminating the physical muscle testing by providing written descriptions of test findings and specifically designing these to suggest a weakness of grade ‘4+’. Electronic supplementary material The online version of this article (10.1186/s12998-017-0159-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Søren O'Neill
- Spinecenter of Southern Denmark, Lillebælt Hospital, Østre Hougvej 55, DK-5500 Middelfart, Denmark.,Institute of Regional Health Research, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | - Sofie Louise Thomsen Jaszczak
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | | | - Birgit Debrabant
- Department of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Winsløwsvej 9, DK-5000 Odense C, Denmark
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28
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Nygaard M, Debrabant B, Tan Q, Deelen J, Andersen‐Ranberg K, Craen AJ, Beekman M, Jeune B, Slagboom PE, Christensen K, Christiansen L. Copy number variation associates with mortality in long-lived individuals: a genome-wide assessment. Aging Cell 2016; 15:49-55. [PMID: 26446717 PMCID: PMC4717275 DOI: 10.1111/acel.12407] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2015] [Indexed: 11/30/2022] Open
Abstract
Copy number variants (CNVs) represent a significant source of genetic variation in the human genome and have been implicated in numerous diseases and complex traits. To date, only a few studies have investigated the role of CNVs in human lifespan. To investigate the impact of CNVs on prospective mortality at the extreme end of life, where the genetic component of lifespan appears most profound, we analyzed genomewide CNV data in 603 Danish nonagenarians and centenarians (mean age 96.9 years, range 90.0–102.5 years). Replication was performed in 500 long‐lived individuals from the Leiden Longevity Study (mean age 93.2 years, range 88.9–103.4 years). First, we assessed the association between the CNV burden of each individual (the number of CNVs, the average CNV length, and the total CNV length) and mortality and found a significant increase in mortality per 10 kb increase in the average CNV length, both for all CNVs (hazard ratio (HR) = 1.024, P = 0.002) and for duplications (HR = 1.011, P = 0.005), as well as per 100 kb increase in the total length of deletions (HR = 1.009, P = 0.0005). Next, we assessed the relation between specific deletions and duplications and mortality. Although no genome–wide significant associations were discovered, we identified six deletions and one duplication that showed consistent association with mortality in both or either of the sexes across both study populations. These results indicate that the genome–wide CNV burden, specifically the average CNV length and the total CNV length, associates with higher mortality in long‐lived individuals.
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Affiliation(s)
- Marianne Nygaard
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
| | - Birgit Debrabant
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Qihua Tan
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
| | - Joris Deelen
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Karen Andersen‐Ranberg
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Anton J.M. Craen
- Department of Gerontology and Geriatrics Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Bernard Jeune
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Pieternella E. Slagboom
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Kaare Christensen
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
- Department of Clinical Biochemistry and Pharmacology Odense University Hospital Sdr. Boulevard 29, 5000 Odense C Denmark
| | - Lene Christiansen
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
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29
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Winther KH, Bonnema SJ, Cold F, Debrabant B, Nybo M, Cold S, Hegedüs L. Does selenium supplementation affect thyroid function? Results from a randomized, controlled, double-blinded trial in a Danish population. Eur J Endocrinol 2015; 172:657-67. [PMID: 25740851 DOI: 10.1530/eje-15-0069] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 03/04/2015] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Selenium is present in the active site of proteins important for thyroid hormone synthesis and metabolism. The objective of this study is to investigate the effect of selenium supplementation in different doses on thyroid function, under conditions of suboptimal dietary selenium intake. DESIGN The Danish PREvention of Cancer by Intervention with SElenium pilot study (DK-PRECISE) is a randomized, double-blinded, placebo-controlled trial. A total of 491 males and females aged 60-74 years were randomized to 100 μg (n=124), 200 μg (n=122), or 300 μg (n=119) selenium-enriched yeast or matching yeast-based placebo tablets (n=126). A total of 361 participants, equally distributed across treatment groups, completed the 5-year intervention period. METHODS Plasma samples were analyzed for selenium and serum samples for TSH, free triiodothyronine (FT3), and free thyroxine (FT4) at baseline, and after 6 months, and 5 years of supplementation. RESULTS Plasma selenium concentrations increased significantly and dose-dependently in treatment groups receiving selenium (P<0.001). Serum TSH and FT4 concentrations decreased significantly and dose-dependently by 0.066 mIU/l (P=0.010) and 0.11 pmol/l (P=0.015), respectively, per 100 μg/day increase, with insignificant differences between 6 months and 5 years. No significant effects were found for FT3 and FT3:FT4 ratio. CONCLUSIONS In euthyroid subjects, selenium supplementation minutely and dose-dependently affects thyroid function, when compared with placebo, by decreasing serum TSH and FT4 concentrations. Based on these findings, selenium supplementation is not warranted under conditions of marginal selenium deficiency. However, a role for selenium supplementation in the treatment of autoimmune thyroid diseases is still unresolved.
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Affiliation(s)
- Kristian Hillert Winther
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Steen Joop Bonnema
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Frederik Cold
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Birgit Debrabant
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Mads Nybo
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Søren Cold
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
| | - Laszlo Hegedüs
- Department of Endocrinology and MetabolismOdense University Hospital, Kloevervaenget 10, 6. Sal, DK-5000 Odense C, DenmarkDepartment of OncologyOdense University Hospital, Odense, DenmarkDepartment of EpidemiologyBiostatistics and Biodemography, University of Southern Denmark, Odense, DenmarkDepartment of Clinical Biochemistry and PharmacologyOdense University Hospital, Odense, Denmark
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Abstract
We discuss the use of modified Kolmogorov-Smirnov (KS) statistics in the context of gene set analysis and review corresponding null and alternative hypotheses. Especially, we show that, when enhancing the impact of highly significant genes in the calculation of the test statistic, the corresponding test can be considered to infer the classical self-contained null hypothesis. We use simulations to estimate the power for different kinds of alternatives, and to assess the impact of the weight parameter of the modified KS statistic on the power. Finally, we show the analogy between the weight parameter and the genesis and distribution of the gene-level statistics, and illustrate the effects of differential weighting in a real-life example.
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Debrabant B, Soerensen M, Flachsbart F, Dato S, Mengel-From J, Stevnsner T, Bohr VA, Kruse TA, Schreiber S, Nebel A, Christensen K, Tan Q, Christiansen L. Human longevity and variation in DNA damage response and repair: study of the contribution of sub-processes using competitive gene-set analysis. Eur J Hum Genet 2014; 22:1131-6. [PMID: 24518833 DOI: 10.1038/ejhg.2013.299] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Revised: 11/07/2012] [Accepted: 11/26/2013] [Indexed: 11/09/2022] Open
Abstract
DNA-damage response and repair are crucial to maintain genetic stability, and are consequently considered central to aging and longevity. Here, we investigate whether this pathway overall associates to longevity, and whether specific sub-processes are more strongly associated with longevity than others. Data were applied on 592 SNPs from 77 genes involved in nine sub-processes: DNA-damage response, base excision repair (BER), nucleotide excision repair, mismatch repair, non-homologous end-joining, homologous recombinational repair (HRR), RecQ helicase activities (RECQ), telomere functioning and mitochondrial DNA processes. The study population was 1089 long-lived and 736 middle-aged Danes. A self-contained set-based test of all SNPs displayed association with longevity (P-value=9.9 × 10(-5)), supporting that the overall pathway could affect longevity. Investigation of the nine sub-processes using the competitive gene-set analysis by Wang et al indicated that BER, HRR and RECQ associated stronger with longevity than the respective remaining genes of the pathway (P-values=0.004-0.048). For HRR and RECQ, only one gene contributed to the significance, whereas for BER several genes contributed. These associations did, however, generally not pass correction for multiple testing. Still, these findings indicate that, of the entire pathway, variation in BER might influence longevity the most. These modest sized P-values were not replicated in a German sample. This might, though, be due to differences in genotyping procedures and investigated SNPs, potentially inducing differences in the coverage of gene regions. Specifically, five genes were not covered at all in the German data. Therefore, investigations in additional study populations are needed before final conclusion can be drawn.
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Affiliation(s)
- Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Mette Soerensen
- 1] Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark [2] Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Friederike Flachsbart
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Serena Dato
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende, Italy
| | - Jonas Mengel-From
- 1] Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark [2] Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Tinna Stevnsner
- Department of Molecular Biology and Genetics, The Danish Aging Research Center, Aarhus University, Aarhus, Denmark
| | - Vilhelm A Bohr
- 1] Department of Molecular Biology and Genetics, The Danish Aging Research Center, Aarhus University, Aarhus, Denmark [2] Laboratory of Molecular Gerontology, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | - Torben A Kruse
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Kaare Christensen
- 1] Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark [2] Department of Clinical Genetics, Odense University Hospital, Odense, Denmark [3] Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Qihua Tan
- 1] Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark [2] Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Lene Christiansen
- 1] Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark [2] Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
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Debrabant B. Point Processes with a Generalized Order Statistic Property. COMMUN STAT-THEOR M 2012. [DOI: 10.1080/03610926.2011.552830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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