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3. A KATP channel gene effect on sleep duration: from genome-wide association studies to function in Drosophila

Author

Allebrandt, K V, Amin, N, Müller-Myhsok, B, Esko, T, Teder-Laving, M, Azevedo, R V D M, Hayward, C, van Mill, J, Vogelzangs, N, Green, E W, Melville, S A, Lichtner, P, Wichmann, H-E, Oostra, B A, Janssens, A C J W, Campbell, H, Wilson, J F, Hicks, A A, Pramstaller, P P, Dogas, Z, Rudan, I, Merrow, M, Penninx, B, Kyriacou, C P, Metspalu, A, van Duijn, C M, Meitinger, T, and Roenneberg, T

Published
2013
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4. Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and Type 2 diabetes susceptibility

Author

Guigas, B., de Leeuw van Weenen, J. E., van Leeuwen, N., Simonis-Bik, A. M., van Haeften, T. W., Nijpels, G., Houwing-Duistermaat, J. J., Beekman, M., Deelen, J., Havekes, L. M., Penninx, B. W. J. H., Vogelzangs, N., van ‘t Riet, E., Dehghan, A., Hofman, A., Witteman, J. C., Uitterlinden, A. G., Grarup, N., Jrgensen, T., Witte, D. R., Lauritzen, T., Hansen, T., Pedersen, O., Hottenga, J., Romijn, J. A., Diamant, M., Kramer, M. H. H., Heine, R. J., Willemsen, G., Dekker, J. M., Eekhoff, E. M., Pijl, H., de Geus, E. J., Slagboom, P. E., and ‘t Hart, L. M.

Published
2014
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8. Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals

Author

Liu, C.-T. (Ching-Ti), Merino, J. (Jordi), Rybin, D. (Denis), DiCorpo, D. (Daniel), Benke, P.J. (Paul), Bragg-Gresham, J.L. (Jennifer L.), Canouil, M. (Mickaël), Corre, T. (Tanguy), Grallert, H. (Harald), Isaacs, A.J. (Aaron), Kutalik, Z. (Zoltán), Lahti, J. (Jari), Marullo, L. (Letizia), Marzi, C. (Carola), Rasmussen-Torvik, L.J. (Laura), Rocheleau, G. (Ghislain), Rueedi, R. (Rico), Scapoli, C. (Chiara), Verweij, N. (Niek), Vogelzangs, N. (Nicole), Willems, S.M. (Sara), Yengo, L. (Loic), Bakker, S.J.L. (Stephan), Beilby, J.P. (John), Hui, J. (Jennie), Kajantie, E. (Eero), Müller-Nurasyid, M. (Martina), Rathmann, W. (Wolfgang), Balkau, B. (Beverley), Bergmann, S.M. (Sven), Hagen, K. (Knut), Florez, J.C. (Jose), Froguel, P. (Philippe), Harris, T.B. (Tamara), Hung, J. (Joseph), James, A. (Alan), Kavousi, M. (Maryam), Miljkovic, I. (Iva), Musk, A.W. (Arthur W.), Palmer, L.J. (Lyle J.), Peters, A. (Annette), Roussel, R. (Ronan), Harst, P. (Pim) van der, Duijn, C.M. (Cornelia) van, Vollenweider, P. (Peter), Barroso, I.E. (Inês), Prokopenko, I. (Inga), Amin, N. (Najaf), Meigs, J.B. (James), Bouatia-Naji, N. (Nabila), Liu, C.-T. (Ching-Ti), Merino, J. (Jordi), Rybin, D. (Denis), DiCorpo, D. (Daniel), Benke, P.J. (Paul), Bragg-Gresham, J.L. (Jennifer L.), Canouil, M. (Mickaël), Corre, T. (Tanguy), Grallert, H. (Harald), Isaacs, A.J. (Aaron), Kutalik, Z. (Zoltán), Lahti, J. (Jari), Marullo, L. (Letizia), Marzi, C. (Carola), Rasmussen-Torvik, L.J. (Laura), Rocheleau, G. (Ghislain), Rueedi, R. (Rico), Scapoli, C. (Chiara), Verweij, N. (Niek), Vogelzangs, N. (Nicole), Willems, S.M. (Sara), Yengo, L. (Loic), Bakker, S.J.L. (Stephan), Beilby, J.P. (John), Hui, J. (Jennie), Kajantie, E. (Eero), Müller-Nurasyid, M. (Martina), Rathmann, W. (Wolfgang), Balkau, B. (Beverley), Bergmann, S.M. (Sven), Hagen, K. (Knut), Florez, J.C. (Jose), Froguel, P. (Philippe), Harris, T.B. (Tamara), Hung, J. (Joseph), James, A. (Alan), Kavousi, M. (Maryam), Miljkovic, I. (Iva), Musk, A.W. (Arthur W.), Palmer, L.J. (Lyle J.), Peters, A. (Annette), Roussel, R. (Ronan), Harst, P. (Pim) van der, Duijn, C.M. (Cornelia) van, Vollenweider, P. (Peter), Barroso, I.E. (Inês), Prokopenko, I. (Inga), Amin, N. (Najaf), Meigs, J.B. (James), and Bouatia-Naji, N. (Nabila)

Abstract

Type 2 diabetes (T2D) affects the health of millions of people worldwide. The identification of genetic determinants associated with changes in glycemia over time might illuminate biological features that precede the development of T2D. Here we conducted a genome-wide association study of longitudinal fasting glucose changes in up to 13,807 non-diabetic individuals of European descent from nine cohorts. Fasting glucose change over time was defined as the slope of the line defined by multiple fasting glucose measurements obtained over up to 14 years of observation. We tested for associations of genetic variants with inverse-normal transformed fasting glucose change over time adjusting for age at baseline, sex, and principal components of genetic variation. We found no genome-wide significant association (P < 5 × 10−8) with fasting glucose change over time. Seven loci previously associated with T2D, fasting glucose or HbA1c were nominally (P < 0.05) associated with fasting glucose change over time. Limited power influences unambiguous interpretation, but these dat

Published
2019
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11. Biological Stress Systems, Adverse Life Events, and the Improvement of Chronic Multisite Musculoskeletal Pain Across a 6-Year Follow-Up

Author

Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., Smit, J.H., de Geus, E.J.C.N., Dekker, J., Penninx, B.W.J.H., Leerstoel Geenen, Stress and self-regulation, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Rehabilitation medicine, APH - Health Behaviors & Chronic Diseases, APH - Methodology, APH - Digital Health, APH - Aging & Later Life, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, RS: FHML MaCSBio, RS: CARIM - R1.04 - Clinical thrombosis and haemostasis, Biological Psychology, and APH - Personalized Medicine

Subjects
Male, Longitudinal study, Time Factors, Hydrocortisone, Chronic pain, CHRONIC WIDESPREAD PAIN, 0302 clinical medicine, Musculoskeletal Pain, Risk Factors, Surveys and Questionnaires, Medicine, Longitudinal Studies, Vagal tone, Depression (differential diagnoses), Netherlands, MAJOR DEPRESSIVE DISORDER, HEART-RATE-VARIABILITY, NEUROPATHIC PAIN, Middle Aged, C-Reactive Protein, Neurology, Neuropathic pain, Cytokines, Anxiety, Major depressive disorder, life change events, Female, medicine.symptom, Adult, medicine.medical_specialty, Cortisol awakening response, Adolescent, ANXIETY DISORDERS, RESPIRATORY SINUS ARRHYTHMIA, cortisol, Young Adult, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Stress, Physiological, THREATENING EXPERIENCES, Journal Article, Humans, Aged, 030203 arthritis & rheumatology, business.industry, autonomic nervous system, ADRENAL AXIS ACTIVITY, medicine.disease, AUTONOMIC NERVOUS-SYSTEM, Anesthesiology and Pain Medicine, inflammation, Physical therapy, RISK-FACTORS, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

Dysfunction of biological stress systems and adverse life events, independently and in interaction, have been hypothesized to predict chronic pain persistence. Conversely, these factors may hamper the improvement of chronic pain. Longitudinal evidence is currently lacking. We examined whether: 1) function of biological stress systems, 2) adverse life events, and 3) their combination predict the improvement of chronic multisite musculoskeletal pain. Subjects of the Netherlands Study of Depression and Anxiety (NESDA) with chronic multisite musculoskeletal pain at baseline (N = 665) were followed-up 2, 4, and 6 years later. The Chronic Pain Grade Questionnaire was used to determine improvement (not meeting the criteria) of chronic multisite musculoskeletal pain at follow-up. Baseline assessment of biological stress systems included function of hypothalamic-pituitary-adrenal axis (1-hour cortisol awakening response, evening level, and post dexamethasone level), the immune system (basal and lipopolysaccharide-stimulated inflammatory markers), the autonomic nervous system (heart rate, pre-ejection period, SD of the normal-to-normal interval, and respiratory sinus arrhythmia). The number of adverse life events were assessed at baseline and 2-year follow-up using the List of Threatening Events Questionnaire. We showed that hypothalamic-pituitary-adrenal axis, immune system, and autonomic nervous system functioning and adverse life events were not associated with the improvement of chronic multisite musculoskeletal pain, either as a main effect or in interaction. This longitudinal study could not confirm that biological stress system dysfunction and adverse life events affect the course of chronic multisite musculoskeletal pain.PERSPECTIVE: Biological stress systems and adverse life events are not associated with the improvement of chronic multisite musculoskeletal pain over 6 years of follow-up. Other determinants should thus be considered in future research to identify in which persons pain symptoms will improve.

Published
2017

12. Biological stress systems, adverse life events and the improvement of chronic multi-site musculoskeletal pain across a 6-year follow-up

Author

Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., Smit, J.H., de Geus, E.J.C.N., Dekker, J., Penninx, B.W.J.H., Leerstoel Geenen, and Stress and self-regulation

Subjects
inflammation, autonomic nervous system, life change events, Chronic pain, cortisol
Abstract

Dysfunction of biological stress systems and adverse life events, independently and in interaction, have been hypothesized to predict chronic pain persistence. Conversely, these factors may hamper the improvement of chronic pain. Longitudinal evidence is currently lacking. We examined whether: 1) function of biological stress systems, 2) adverse life events, and 3) their combination predict the improvement of chronic multisite musculoskeletal pain. Subjects of the Netherlands Study of Depression and Anxiety (NESDA) with chronic multisite musculoskeletal pain at baseline (N = 665) were followed-up 2, 4, and 6 years later. The Chronic Pain Grade Questionnaire was used to determine improvement (not meeting the criteria) of chronic multisite musculoskeletal pain at follow-up. Baseline assessment of biological stress systems included function of hypothalamic-pituitary-adrenal axis (1-hour cortisol awakening response, evening level, and post dexamethasone level), the immune system (basal and lipopolysaccharide-stimulated inflammatory markers), the autonomic nervous system (heart rate, pre-ejection period, SD of the normal-to-normal interval, and respiratory sinus arrhythmia). The number of adverse life events were assessed at baseline and 2-year follow-up using the List of Threatening Events Questionnaire. We showed that hypothalamic-pituitary-adrenal axis, immune system, and autonomic nervous system functioning and adverse life events were not associated with the improvement of chronic multisite musculoskeletal pain, either as a main effect or in interaction. This longitudinal study could not confirm that biological stress system dysfunction and adverse life events affect the course of chronic multisite musculoskeletal pain.

Published
2017

13. Metabolic dysregulation and late-life depression: a prospective study

Author

Marijnissen, R.M., Vogelzangs, N., Mulder, M.E., Brink, R.H. van den, Comijs, H.C., Oude Voshaar, R.C., Marijnissen, R.M., Vogelzangs, N., Mulder, M.E., Brink, R.H. van den, Comijs, H.C., and Oude Voshaar, R.C.

Abstract

Item does not contain fulltext, BACKGROUND: Depression is associated with the metabolic syndrome (MS). We examined whether metabolic dysregulation predicted the 2-year course of clinical depression. METHOD: A total of 285 older persons (60 years) suffering from depressive disorder according to DSM-IV-TR criteria was followed up for 2 years. Severity of depression was assessed with the Inventory of Depressive Symptomatology (IDS) at 6-month intervals. Metabolic syndrome was defined according the National Cholesterol Education Programme (NCEP-ATP III). We applied logistic regression and linear mixed models adjusted for age, sex, years of education, smoking, alcohol use, physical activity, somatic co-morbidity, cognitive functioning and drug use (antidepressants, anti-inflammatory drugs) and severity of depression at baseline. RESULTS: MS predicted non-remission at 2 years (odds ratioper component = 1.26, 95% confidence interval 1.00-1.58), p = 0.047), which was driven by the waist circumference and HDL cholesterol. MS was not associated with IDS sum score. Subsequent analyses on its subscales, however, identified an association with the somatic symptom subscale score over time (interaction time x somatic subscale, p = 0.005), driven by higher waist circumference and elevated fasting glucose level. CONCLUSIONS: Metabolic dysregulation predicts a poor course of late-life depression. This finding supports the concept of 'metabolic depression', recently proposed on population-based findings of a protracted course of depressive symptoms in the presence of metabolic dysregulation. Our findings seem to be driven by abdominal obesity (as indicated by the waist circumference) and HDL cholesterol dysregulation.

Published
2017

14. Biological stress systems, adverse life events and the improvement of chronic multi-site musculoskeletal pain across a 6-year follow-up

Author

Leerstoel Geenen, Stress and self-regulation, Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., Smit, J.H., de Geus, E.J.C.N., Dekker, J., Penninx, B.W.J.H., Leerstoel Geenen, Stress and self-regulation, Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., Smit, J.H., de Geus, E.J.C.N., Dekker, J., and Penninx, B.W.J.H.

Published
2017

15. Biological stress systems, adverse life events and the onset of chronic multi-site musculoskeletal pain: a six-year cohort study

Author

Generaal, E., Vogelzangs, N., MacFarlane, G.J., Geenen, R., Smit, J.H., de Geus, E.J.C.N., Penninx, B.W.J.H., Dekker, J., Stress and self-regulation, and Leerstoel Geenen

Abstract

Objectives Dysregulated biological stress systems and adverse life events, independently and in interaction, have been hypothesised to initiate chronic pain. We examine whether (1) function of biological stress systems, (2) adverse life events, and (3) their combination predict the onset of chronic multisite musculoskeletal pain. Methods Subjects (n=2039) of the Netherlands Study of Depression and Anxiety, free from chronic multisite musculoskeletal pain at baseline, were identified using the Chronic Pain Grade Questionnaire and followed up for the onset of chronic multisite musculoskeletal pain over 6 years. Baseline assessment of biological stress systems comprised function of the hypothalamic-pituitary-adrenal axis (1-h cortisol awakening response, evening levels, postdexamethasone levels), the immune system (basal and lipopolysaccharide-stimulated inflammation) and the autonomic nervous system (heart rate, pre-ejection period, SD of the normal-to-normal interval, respiratory sinus arrhythmia). The number of recent adverse life events was assessed at baseline using the List of Threatening Events Questionnaire. Results Hypothalamic-pituitary-adrenal axis, immune system and autonomic nervous system functioning was not associated with onset of chronic multisite musculoskeletal pain, either by itself or in interaction with adverse life events. Adverse life events did predict onset of chronic multisite musculoskeletal pain (HR per event=1.14, 95% CI 1.04 to 1.24, p=0.005). Conclusions This longitudinal study could not confirm that dysregulated biological stress systems increase the risk of developing chronic multisite musculoskeletal pain. Adverse life events were a risk factor for the onset of chronic multisite musculoskeletal pain, suggesting that psychosocial factors play a role in triggering the development of this condition.

Published
2016

16. Chronotype associations with depression and anxiety disorders in a large cohort study

Author

Antypa, N., Vogelzangs, N., Meesters, Y., Schoevers, R., Penninx, B.W., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Epidemiologie, and RS: FHML non-thematic output

Subjects
Adult, Male, MDD, ALCOHOL-CONSUMPTION, SENSATION SEEKING, NESDA, behavioral disciplines and activities, Cohort Studies, Young Adult, Surveys and Questionnaires, CIRCADIAN TYPOLOGY, Interview, Psychological, mental disorders, YOUNG-ADULTS, Humans, Longitudinal Studies, POSITIVE AFFECT, morning type, Aged, Netherlands, Depressive Disorder, Major, evening type, COLLEGE-STUDENTS, Middle Aged, diurnal mood variation, anxiety, Anxiety Disorders, Circadian Rhythm, PSYCHOMETRIC PROPERTIES, MORNINGNESS-EVENINGNESS SCORE, Female, SLEEP-DEPRIVATION
Abstract

BACKGROUND: The chronotype, being a morning or an evening type, can influence an individual's psychological health. Studies have shown a link between depressed mood and being an evening type; however, most studies have used symptom scales and not diagnostic criteria, and confounding factors such as sleep patterns and somatic health factors have often not been considered. This study aims to examine the association between chronotype and depressive (major depressive disorder (MDD), dysthymia) and anxiety (generalized anxiety disorder, panic disorder, agoraphobia, and social phobia) disorders diagnosed using clinical interviews, while taking into account relevant sociodemographic, clinical, somatic health, and sleep parameters. METHODS: Data from a large cohort, the Netherlands Study of Depression and Anxiety were used (n = 1,944), which included 676 currently depressed and/or anxious patients, 831 remitted patients, and 437 healthy controls. Chronotype was assessed using the Munich Chronotype Questionnaire. RESULTS: Our results showed that current depressive and/or anxiety disorders were associated with a late chronotype (β = .10, P = .004) even when adjusting for sociodemographic, somatic health, and sleep-related factors (β = .09, P = .03). When examining each type of disorder separately, MDD only, but not dysthymia or specific anxiety disorders, was associated with the late chronotype. The late chronotype also reported significant diurnal mood variation (worse mood in the morning). CONCLUSIONS: Our findings show a clear association between MDD and late chronotype (being an evening type), after controlling for a range of pertinent factors. A late chronotype is therefore associated with a current status of MDD and deserves the relevant clinical attention when considering treatments.

Published
2015

18. Genetic variants in RBFOX3 are associated with sleep latency

Author

Amin, N., Allebrandt, K.V., Spek, A. van der, Muller-Myhsok, B., Hek, K., Teder-Laving, M., Hayward, C., Esko, T., Mill, J.G. van, Mbarek, H., Watson, N.F., Melville, S.A., Del Greco, F.M., Byrne, E.M., Oole, E., Kolcic, I., Chen, T., Evans, D.S., Coresh, J., Vogelzangs, N., Karjalainen, J., Willemsen, G., Gharib, S.A., Zgaga, L., Mihailov, E., Stone, K.L., Campbell, H., Brouwer, R.W.W., Demirkan, A., Isaacs, A., Dogas, Z., Marciante, K.D., Campbell, S., Borovecki, F., Luik, A.I., Li, M., Hottenga, J.J., Huffman, J.E., Hout, M.C.G.N. van den, Cummings, S.R., Aulchenko, Y.S., Gehrman, P.R., Uitterlinden, A.G., Wichmann, H.E., Muller-Nurasyid, M., Fehrmann, R.S.N., Montgomery, G.W., Hofman, A., Kao, W.H.L., Oostra, B.A., Wright, A.F., Vink, J.M., Wilson, J.F., Pramstaller, P.P., Hicks, A.A., Polasek, O., Punjabi, N.M., Redline, S., Psaty, B.M., Heath, A.C., Merrow, M., Tranah, G.J., Gottlieb, D.J., Boomsma, D.I., Martin, N.G., Rudan, I., Tiemeier, H., IJcken, W.F.J. van, Penninx, B.W.J.H., Metspalu, A., Meitinger, T., Franke, L., Roenneberg, T., Duijn, C.M. van, Amin, N., Allebrandt, K.V., Spek, A. van der, Muller-Myhsok, B., Hek, K., Teder-Laving, M., Hayward, C., Esko, T., Mill, J.G. van, Mbarek, H., Watson, N.F., Melville, S.A., Del Greco, F.M., Byrne, E.M., Oole, E., Kolcic, I., Chen, T., Evans, D.S., Coresh, J., Vogelzangs, N., Karjalainen, J., Willemsen, G., Gharib, S.A., Zgaga, L., Mihailov, E., Stone, K.L., Campbell, H., Brouwer, R.W.W., Demirkan, A., Isaacs, A., Dogas, Z., Marciante, K.D., Campbell, S., Borovecki, F., Luik, A.I., Li, M., Hottenga, J.J., Huffman, J.E., Hout, M.C.G.N. van den, Cummings, S.R., Aulchenko, Y.S., Gehrman, P.R., Uitterlinden, A.G., Wichmann, H.E., Muller-Nurasyid, M., Fehrmann, R.S.N., Montgomery, G.W., Hofman, A., Kao, W.H.L., Oostra, B.A., Wright, A.F., Vink, J.M., Wilson, J.F., Pramstaller, P.P., Hicks, A.A., Polasek, O., Punjabi, N.M., Redline, S., Psaty, B.M., Heath, A.C., Merrow, M., Tranah, G.J., Gottlieb, D.J., Boomsma, D.I., Martin, N.G., Rudan, I., Tiemeier, H., IJcken, W.F.J. van, Penninx, B.W.J.H., Metspalu, A., Meitinger, T., Franke, L., Roenneberg, T., and Duijn, C.M. van

Abstract

Item does not contain fulltext, Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We performed a meta-analysis of genome-wide association studies (GWAS) including 2 572 737 single nucleotide polymorphisms (SNPs) established in seven European cohorts including 4242 individuals. We found a cluster of three highly correlated variants (rs9900428, rs9907432 and rs7211029) in the RNA-binding protein fox-1 homolog 3 gene (RBFOX3) associated with sleep latency (P-values=5.77 x 10-08, 6.59 x 10-08 and 9.17 x 10-08). These SNPs were replicated in up to 12 independent populations including 30 377 individuals (P-values=1.5 x 10-02, 7.0 x 10-03 and 2.5 x 10-03; combined meta-analysis P-values=5.5 x 10-07, 5.4 × 10-07 and 1.0 x 10-07). A functional prediction of RBFOX3 based on co-expression with other genes shows that this gene is predominantly expressed in brain (P-value=1.4 x 10-316) and the central nervous system (P-value=7.5 x 10-321). The predicted function of RBFOX3 based on co-expression analysis with other genes shows that this gene is significantly involved in the release cycle of neurotransmitters including gamma-aminobutyric acid and various monoamines (P-values<2.9 x 10-11) that are crucial in triggering the onset of sleep. To conclude, in this first large-scale GWAS of sleep latency we report a novel association of variants in RBFOX3 gene. Further, a functional prediction of RBFOX3 supports the involvement of RBFOX3 with sleep latency.

Published
2016

19. Genetic variants in RBFOX3 are associated with sleep latency

Author

Amin, N. (Najaf), Allebrandt, K.V., Spek, A. (Ashley) van der, Müller-Myhsok, B. (B.), Hek, K. (Karin), Teder-Laving, M. (Maris), Hayward, C. (Caroline), Esko, T. (Tõnu), Mill, J. van, Mbarek, H., Watson, N.F. (Nathaniel F), Melville, S.A. (Scott), Del Greco, F.M. (Fabiola), Byrne, E.M. (Enda), Oole, E. (Edwin), Kolcic, I. (Ivana), Chen, T.H., Evans, D.S. (Daniel), Coresh, J. (Josef), Vogelzangs, N. (Nicole), Karjalainen, J. (Juha), Willemsen, G.A.H.M. (Gonneke), Gharib, S.A. (Sina), Zgaga, L. (Lina), Mihailov, E. (Evelin), Stone, K.L. (Katie L), Campbell, H. (Harry), Brouwer, R.W.W. (Rutger), Demirkan, A. (Ayşe), Isaacs, A.J. (Aaron), Dogas, Z., Marciante, K. (Kristin), Campbell, S. (Susan), Borovecki, F. (Fran), Luik, A.I. (Annemarie), Li, M. (Man), Hottenga, J.J. (Jouke Jan), Huffman, J.E. (Jennifer), van den hout, M.C.G.N. (Mirjam), Cummings, S.R. (Steven R.), Aulchenko, Y.S. (Yurii), Gehrman, P.R. (Philip), Uitterlinden, A.G. (André), Wichmann, H.E. (Heinz Erich), Müller-Nurasyid, M. (Martina), Fehrmann, R.S.N. (Rudolf), Montgomery, G.W. (Grant), Hofman, A. (Albert), Kao, W.H.L. (Wen Hong Linda), Oostra, B.A. (Ben), Wright, A. (Alan), Vink, J.M. (Jacqueline), Wilson, J.F. (James F), Pramstaller, P.P. (Peter Paul), Hicks, A.A. (Andrew), Polasek, O. (Ozren), Punjabi, N.M. (Naresh), Redline, S. (Susan), Psaty, B.M. (Bruce), Heath, A.C. (Andrew C.), Merrow, M., Tranah, G.J. (Gregory), Gottlieb, D.J. (Daniel J), Boomsma, D.I. (Dorret), Martin, N.G. (Nicholas), Rudan, I. (Igor), Tiemeier, H.W. (Henning), IJcken, W.F.J. (Wilfred) van, Penninx, B.W.J.H., Metspalu, A. (Andres), Meitinger, T. (Thomas), Franke, L. (Lude), Roenneberg, T., Duijn, C.M. (Cornelia) van, Amin, N. (Najaf), Allebrandt, K.V., Spek, A. (Ashley) van der, Müller-Myhsok, B. (B.), Hek, K. (Karin), Teder-Laving, M. (Maris), Hayward, C. (Caroline), Esko, T. (Tõnu), Mill, J. van, Mbarek, H., Watson, N.F. (Nathaniel F), Melville, S.A. (Scott), Del Greco, F.M. (Fabiola), Byrne, E.M. (Enda), Oole, E. (Edwin), Kolcic, I. (Ivana), Chen, T.H., Evans, D.S. (Daniel), Coresh, J. (Josef), Vogelzangs, N. (Nicole), Karjalainen, J. (Juha), Willemsen, G.A.H.M. (Gonneke), Gharib, S.A. (Sina), Zgaga, L. (Lina), Mihailov, E. (Evelin), Stone, K.L. (Katie L), Campbell, H. (Harry), Brouwer, R.W.W. (Rutger), Demirkan, A. (Ayşe), Isaacs, A.J. (Aaron), Dogas, Z., Marciante, K. (Kristin), Campbell, S. (Susan), Borovecki, F. (Fran), Luik, A.I. (Annemarie), Li, M. (Man), Hottenga, J.J. (Jouke Jan), Huffman, J.E. (Jennifer), van den hout, M.C.G.N. (Mirjam), Cummings, S.R. (Steven R.), Aulchenko, Y.S. (Yurii), Gehrman, P.R. (Philip), Uitterlinden, A.G. (André), Wichmann, H.E. (Heinz Erich), Müller-Nurasyid, M. (Martina), Fehrmann, R.S.N. (Rudolf), Montgomery, G.W. (Grant), Hofman, A. (Albert), Kao, W.H.L. (Wen Hong Linda), Oostra, B.A. (Ben), Wright, A. (Alan), Vink, J.M. (Jacqueline), Wilson, J.F. (James F), Pramstaller, P.P. (Peter Paul), Hicks, A.A. (Andrew), Polasek, O. (Ozren), Punjabi, N.M. (Naresh), Redline, S. (Susan), Psaty, B.M. (Bruce), Heath, A.C. (Andrew C.), Merrow, M., Tranah, G.J. (Gregory), Gottlieb, D.J. (Daniel J), Boomsma, D.I. (Dorret), Martin, N.G. (Nicholas), Rudan, I. (Igor), Tiemeier, H.W. (Henning), IJcken, W.F.J. (Wilfred) van, Penninx, B.W.J.H., Metspalu, A. (Andres), Meitinger, T. (Thomas), Franke, L. (Lude), Roenneberg, T., and Duijn, C.M. (Cornelia) van

Abstract

Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We performed a meta-analysis of genome-wide association studies (GWAS) including 2 572 737 single nucleotide polymorphisms (SNPs) established in seven European cohorts including 4242 individuals. We found a cluster of three highly correlated variants (rs9900428, rs9907432 and rs7211029) in the RNA-binding protein fox-1 homolog 3 gene (RBFOX3) associated with sleep latency (P-values=5.77 × 10-08, 6.59 × 10- 08 and 9.17 × 10- 08). These SNPs were replicated in up to 12 independent populations including 30 377 individuals (P-values=1.5 × 10- 02, 7.0 × 10- 03 and 2.5 × 10- 03; combined meta-analysis P-values=5.5 × 10-07, 5.4 × 10-07 and 1.0 × 10-07). A functional prediction of RBFOX3 based

Published
2016
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21. The Lin28/let-7 axis regulates glucose metabolism

Author

Zhu H, Shyh Chang N, Segrè AV, Shinoda G, Shah SP, Einhorn WS, Takeuchi A, Engreitz JM, Hagan JP, Kharas MG, Urbach A, Thornton JE, Triboulet R, Gregory RI, DIAGRAM Consortium, MAGIC Investigators, Altshuler D, Daley G.Q. Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Langenberg C, Hofmann OM, Dupuis J, Qi L, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Couper DJ, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Klopp N, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, Lieverse A, Lindgren CM, Lyssenko V, Marre M, Meitinger T, Midthjell K, Morken MA, Narisu N, Nilsson P, Owen KR, Payne F, Perry JR, Petersen AK, Platou C, Proença C, Prokopenko I, Rathmann W, Rayner NW, Robertson NR, Rocheleau G, Roden M, Sampson MJ, Saxena R, Shields BM, Shrader P, Sigurdsson G, Sparsø T, Strassburger K, Stringham HM, Sun Q, Swift AJ, Thorand B, Tichet J, Tuomi T, van Dam RM, van Haeften TW, van Herpt T, van Vliet Ostaptchouk JV, Walters GB, Weedon MN, Wijmenga C, Witteman J, Bergman RN, Cauchi S, Collins FS, Gloyn AL, Gyllensten U, Hansen T, Hide WA, Hitman GA, Hofman A, Hunter DJ, Hveem K, Laakso M, Mohlke KL, Morris AD, Palmer CN, Pramstaller PP, Rudan I, Sijbrands E, Stein LD, Tuomilehto J, Uitterlinden A, Walker M, Wareham NJ, Watanabe RM, Abecasis GR, Boehm BO, Campbell H, Daly MJ, Hattersley AT, Hu FB, Meigs JB, Pankow JS, Pedersen O, Wichmann HE, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Boehnke M, McCarthy MI, Soranzo N, Wheeler E, Glazer NL, Bouatia Naji N, Mägi R, Randall J, Johnson T, Elliott P, Rybin D, Henneman P, Dehghan A, Hottenga JJ, Song K, Goel A, Egan JM, Lajunen T, Doney A, Voight BF, Kanoni S, Cavalcanti Proença C, Kumari M, Timpson NJ, Zabena C, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, Roccasecca RM, Pattou F, Sethupathy P, Ariyurek Y, Barter P, Beilby JP, Ben Shlomo Y, Bergmann S, Bochud M, Bonnefond A, Borch Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Crisponi L, Day IN, de Geus EJ, Delplanque J, Fedson AC, Fischer Rosinsky A, Forouhi NG, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Hicks AA, Hillman DR, Hingorani AD, Hui J, Hung J, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Mahley R, Mangino M, Manning AK, Martínez Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Mukherjee S, Naitza S, Neville MJ, Oostra BA, Orrù M, Pakyz R, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Seedorf U, Sharp SJ, Shields B, Sigurðsson G, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Uitterlinden AG, van Dijk KW, Varma D, Visvikis Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Ward KL, Watkins H, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano Ríos M, Lind L, Palmer LJ, Franks PW, Ebrahim S, Marmot M, Wright AF, Stumvoll M, Hamsten A, Buchanan TA, Valle TT, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Ferrucci L, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, Barroso I., PAOLISSO, Giuseppe, Zhu, H, Shyh Chang, N, Segrè, Av, Shinoda, G, Shah, Sp, Einhorn, W, Takeuchi, A, Engreitz, Jm, Hagan, Jp, Kharas, Mg, Urbach, A, Thornton, Je, Triboulet, R, Gregory, Ri, Diagram, Consortium, Magic, Investigator, Altshuler, D, Voight BF, Daley G. Q., Scott, Lj, Steinthorsdottir, V, Morris, Ap, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Y, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Langenberg, C, Hofmann, Om, Dupuis, J, Qi, L, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Boström, Kb, Bravenboer, B, Bumpstead, S, Burtt, Np, Charpentier, G, Chines, P, Cornelis, M, Couper, Dj, Crawford, G, Doney, A, Elliott, K, Elliott, Al, Erdos, Mr, Fox, C, Franklin, C, Ganser, M, Gieger, C, Grarup, N, Green, T, Griffin, S, Groves, Cj, Guiducci, C, Hadjadj, S, Hassanali, N, Herder, C, Isomaa, B, Jackson, Au, Johnson, Pr, Jørgensen, T, Kao, Wh, Klopp, N, Kong, A, Kraft, P, Kuusisto, J, Lauritzen, T, Li, M, Lieverse, A, Lindgren, Cm, Lyssenko, V, Marre, M, Meitinger, T, Midthjell, K, Morken, Ma, Narisu, N, Nilsson, P, Owen, Kr, Payne, F, Perry, Jr, Petersen, Ak, Platou, C, Proença, C, Prokopenko, I, Rathmann, W, Rayner, Nw, Robertson, Nr, Rocheleau, G, Roden, M, Sampson, Mj, Saxena, R, Shields, Bm, Shrader, P, Sigurdsson, G, Sparsø, T, Strassburger, K, Stringham, Hm, Sun, Q, Swift, Aj, Thorand, B, Tichet, J, Tuomi, T, van Dam, Rm, van Haeften, Tw, van Herpt, T, van Vliet Ostaptchouk, Jv, Walters, Gb, Weedon, Mn, Wijmenga, C, Witteman, J, Bergman, Rn, Cauchi, S, Collins, F, Gloyn, Al, Gyllensten, U, Hansen, T, Hide, Wa, Hitman, Ga, Hofman, A, Hunter, Dj, Hveem, K, Laakso, M, Mohlke, Kl, Morris, Ad, Palmer, Cn, Pramstaller, Pp, Rudan, I, Sijbrands, E, Stein, Ld, Tuomilehto, J, Uitterlinden, A, Walker, M, Wareham, Nj, Watanabe, Rm, Abecasis, Gr, Boehm, Bo, Campbell, H, Daly, Mj, Hattersley, At, Hu, Fb, Meigs, Jb, Pankow, J, Pedersen, O, Wichmann, He, Barroso, I, Florez, Jc, Frayling, Tm, Groop, L, Sladek, R, Thorsteinsdottir, U, Wilson, Jf, Illig, T, Froguel, P, van Duijn, Cm, Stefansson, K, Boehnke, M, Mccarthy, Mi, Soranzo, N, Wheeler, E, Glazer, Nl, Bouatia Naji, N, Mägi, R, Randall, J, Johnson, T, Elliott, P, Rybin, D, Henneman, P, Dehghan, A, Hottenga, Jj, Song, K, Goel, A, Egan, Jm, Lajunen, T, Voight, Bf, Kanoni, S, Cavalcanti Proença, C, Kumari, M, Timpson, Nj, Zabena, C, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, Roccasecca, Rm, Pattou, F, Sethupathy, P, Ariyurek, Y, Barter, P, Beilby, Jp, Ben Shlomo, Y, Bergmann, S, Bochud, M, Bonnefond, A, Borch Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, Sj, Chen, Yd, Clarke, R, Coin, Lj, Cooper, Mn, Crisponi, L, Day, In, de Geus, Ej, Delplanque, J, Fedson, Ac, Fischer Rosinsky, A, Forouhi, Ng, Frants, R, Franzosi, Mg, Galan, P, Goodarzi, Mo, Graessler, J, Grundy, S, Gwilliam, R, Hallmans, G, Hammond, N, Han, X, Hartikainen, Al, Hayward, C, Heath, Sc, Hercberg, S, Hicks, Aa, Hillman, Dr, Hingorani, Ad, Hui, J, Hung, J, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, Ya, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, Ko, Lathrop, Gm, Lawlor, Da, Le Bacquer, O, Lecoeur, C, Li, Y, Mahley, R, Mangino, M, Manning, Ak, Martínez Larrad, Mt, Mcateer, Jb, Mcpherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, Bd, Mukherjee, S, Naitza, S, Neville, Mj, Oostra, Ba, Orrù, M, Pakyz, R, Paolisso, Giuseppe, Pattaro, C, Pearson, D, Peden, Jf, Pedersen, Nl, Perola, M, Pfeiffer, Af, Pichler, I, Polasek, O, Posthuma, D, Potter, Sc, Pouta, A, Province, Ma, Psaty, Bm, Rice, K, Ripatti, S, Rivadeneira, F, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, Aa, Scheet, P, Seedorf, U, Sharp, Sj, Shields, B, Sigurðsson, G, Sijbrands, Ej, Silveira, A, Simpson, L, Singleton, A, Smith, Nl, Sovio, U, Swift, A, Syddall, H, Syvänen, Ac, Tanaka, T, Tönjes, A, Uitterlinden, Ag, van Dijk, Kw, Varma, D, Visvikis Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, Pj, Walley, A, Ward, Kl, Watkins, H, Wild, Sh, Willemsen, G, Witteman, Jc, Yarnell, Jw, Zelenika, D, Zethelius, B, Zhai, G, Zhao, Jh, Zillikens, Mc, Borecki, Ib, Loos, Rj, Meneton, P, Magnusson, Pk, Nathan, Dm, Williams, Gh, Silander, K, Salomaa, V, Smith, Gd, Bornstein, Sr, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, Ar, Cooper, C, Dedoussis, Gv, Serrano Ríos, M, Lind, L, Palmer, Lj, Franks, Pw, Ebrahim, S, Marmot, M, Wright, Af, Stumvoll, M, Hamsten, A, Buchanan, Ta, Valle, Tt, Rotter, Ji, Siscovick, D, Penninx, Bw, Boomsma, Di, Deloukas, P, Spector, Td, Ferrucci, L, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, Mr, Waterworth, Dm, Vollenweider, P, Peltonen, L, Mooser, V, and Barroso, I.

Published
2011

22. Reduced hypothalamic-pituitary-adrenal axis activity in chronic multi-site musculoskeletal pain: partly masked by depressive and anxiety disorders

Author

Generaal, E., Vogelzangs, N., MacFarlane, G.J., Geenen, R., Smit, J.H., Penninx, B.W.J.H., Dekker, J., Stress and self-regulation, Leerstoel Geenen, Afd Klinische psychologie, Stress and self-regulation, Leerstoel Geenen, Afd Klinische psychologie, EMGO+ - Mental Health, Psychiatry, Rehabilitation medicine, and EMGO - Mental health

Subjects
Male, Time Factors, Hydrocortisone, Pituitary-Adrenal System, Chronic pain, Comorbidity, Severity of Illness Index, Musculoskeletal Pain, Surveys and Questionnaires, Orthopedics and Sports Medicine, Netherlands, Pain Measurement, education.field_of_study, Central Nervous System Sensitization, Psychopathology, Central sensitization, Middle Aged, Anxiety Disorders, Circadian Rhythm, medicine.anatomical_structure, International (English), Neuropathic pain, Hypothalamic-pituitary-adrenal axis, Anxiety, Female, medicine.symptom, Hypothalamic–pituitary–adrenal axis, Anxiety disorder, Research Article, medicine.medical_specialty, Hypothalamo-Hypophyseal System, Population, Down-Regulation, Salivary cortisol, Rheumatology, SDG 3 - Good Health and Well-being, Predictive Value of Tests, medicine, Humans, education, Saliva, Aged, Depressive Disorder, business.industry, medicine.disease, Cross-Sectional Studies, Physical therapy, business, Biomarkers
Abstract

Background: Studies on hypothalamic-pituitary-adrenal axis (HPA-axis) function amongst patients with chronic pain show equivocal results and well-controlled cohort studies are rare in this field. The goal of our study was to examine whether HPA-axis dysfunction is associated with the presence and the severity of chronic multi-site musculoskeletal pain. Methods. Data are from the Netherlands Study of Depression and Anxiety including 1125 subjects with and without lifetime depressive and anxiety disorders. The Chronic Pain Grade questionnaire was used to determine the presence and severity of chronic multi-site musculoskeletal pain. Subjects were categorized into a chronic multi-site musculoskeletal pain group (n = 471) and a control group (n = 654). Salivary cortisol samples were collected to assess HPA-axis function (awakening level, 1-h awakening response, evening level, diurnal slope and post-dexamethasone level). Results: In comparison with the control group, subjects with chronic multi-site musculoskeletal pain showed significantly lower cortisol level at awakening, lower evening level and a blunted diurnal slope. Lower cortisol level at awakening and a blunted diurnal slope appeared to be restricted to those without depressive and/or anxiety disorders, who also showed a lower 1-h awakening response. Conclusions: Our results suggest hypocortisolemia in chronic multi-site musculoskeletal pain. However, if chronic pain is accompanied by a depressive or anxiety disorder, typically related to hypercortisolemia, the association between cortisol levels and chronic multi-site musculoskeletal pain appears to be partly masked. Future studies should take psychopathology into account when examining HPA-axis function in chronic pain. © 2014 Generaal et al.; licensee BioMed Central Ltd.

Published
2014

23. Basal inflammation and innate immune response in chronic multisite musculoskeletal pain

Author

Generaal, E., Vogelzangs, N., MacFarlane, G.J., Geenen, R., Smit, J.H., Dekker, J., Penninx, B.W.J.H., Stress and self-regulation, Leerstoel Geenen, Afd Klinische psychologie, Psychiatry, Rehabilitation medicine, EMGO - Mental health, EMGO+ - Mental Health, Stress and self-regulation, Leerstoel Geenen, and Afd Klinische psychologie

Subjects
Adult, Male, Innate immune response, Inflammation, Lipopolysaccharide, Chronic pain, Disease, C-reactive protein, Basal (phylogenetics), Immune system, Sex Factors, SDG 3 - Good Health and Well-being, Musculoskeletal Pain, Surveys and Questionnaires, medicine, Humans, Depression (differential diagnoses), Innate immune system, biology, business.industry, Interleukin-6, Tumor Necrosis Factor-alpha, Age Factors, Middle Aged, Central sensitization, medicine.disease, Immunity, Innate, Anesthesiology and Pain Medicine, Cross-Sectional Studies, Neurology, International (English), Immunology, biology.protein, Cytokines, Female, Neurology (clinical), medicine.symptom, business, Biomarkers
Abstract

Dysregulation of the immune system may play a role in chronic pain, although study findings are inconsistent. This cross-sectional study examined whether basal inflammatory markers and the innate immune response are associated with the presence and severity of chronic multisite musculoskeletal pain. Data were used on 1632 subjects of the Netherlands Study of Depression and Anxiety. The Chronic Pain Grade questionnaire was used to determine the presence and severity of chronic multisite musculoskeletal pain. Subjects were categorized in a chronic multisite musculoskeletal pain group (n = 754) and a control group (n = 878). Blood levels of the basal inflammatory markers C-reactive protein, interleukin-6, and tumor necrosis factor-alpha were determined. To obtain a measure of the innate immune response, 13 inflammatory markers were assessed after lipopolysaccharide (LPS) stimulation in a subsample (n = 707). Subjects with chronic multisite musculoskeletal pain showed elevated levels of basal inflammatory markers compared with controls, but statistical significance was lost after adjustment for lifestyle and disease variables. For some LPS-stimulated inflammatory markers, we did find elevated levels in subjects with chronic multisite musculoskeletal pain both before and after adjustment for covariates. Pain severity was not associated with inflammation within chronic pain subjects. An enhanced innate immune response in chronic multisite musculoskeletal pain may be examined as a potential biomarker for the onset or perpetuation of chronic pain. © 2014 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Published
2014

26. Biological stress systems, adverse life events and the onset of chronic multisite musculoskeletal pain: a six-year cohort study

Author

Stress and self-regulation, Leerstoel Geenen, Leerstoel Ridder, Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., de Geus, E., Smit, J.H., Penninx, B.W., Dekker, J., Stress and self-regulation, Leerstoel Geenen, Leerstoel Ridder, Generaal, E., Vogelzangs, N., Macfarlane, G.J., Geenen, R., de Geus, E., Smit, J.H., Penninx, B.W., and Dekker, J.

Published
2015

27. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs

Author

Aj, Schork, Wk, Thompson, Pham P, Torkamani A, Jc, Roddey, Pf, Sullivan, Jr, Kelsoe, Donovan Mc, O., Furberg H, Tobacco and Genetics Consortium, Bipolar Disorder Psychiatric Genomics Consortium, Schizophrenia Psychiatric Genomics Consortium, Nj, Schork, Oa, Andreassen, Am, Dale, Absher D, Agudo A, Almgren P, Ardissino D, Tl, Assimes, Bandinelli S, Barzan L, Bencko V, Benhamou S, Ej, Benjamin, Bernardinelli L, Bis J, Boehnke M, Boerwinkle E, Di, Boomsma, Brennan P, Canova C, Castellsagué X, Chanock S, Chasman D, Di, Conway, Dackor J, Ej, Geus, Duan J, Elosua R, Everett B, Fabianova E, Ferrucci L, Foretova L, Sp, Fortmann, Franceschini N, Frayling T, Furberg C, Pv, Gejman, Groop L, Gu F, Guralnik J, Se, Hankinson, Haritunians T, Healy C, Hofman A, Holcátová I, Dj, Hunter, Sj, Hwang, Jp, Ioannidis, Iribarren C, Au, Jackson, Janout V, Kaprio J, Kim Y, Kjaerheim K, Jw, Knowles, Kraft P, Ladenvall C, Lagiou P, Lanthrop M, Lerman C, Df, Levinson, Levy D, Md, Li, Dy, Lin, Eh, Lips, Lissowska J, Lowry R, Lucas G, Tv, Macfarlane, Maes H, Pm, Mannucci, Mates D, Mauri F, Ja, Mcgovern, Jd, Mckay, McKnight B, Melander O, Pa, Merlini, Milaneschi Y, Kl, Mohlke, Donnell Cj, O., Pare G, Bw, Penninx, Perry J, Posthuma D, Sr, Preis, Psaty B, Quertermous T, Vs, Ramachandran, Richiardi L, Ridker P, Rose J, Rudnai P, Salomaa V, Ar, Sanders, Sm, Schwartz, Shi J, Jh, Smit, Hm, Stringham, Szeszenia-Dabrowska N, Tanaka T, Taylor K, Thacker E, Thornton L, Tiemeier H, Tuomilehto J, Ag, Uitterlinden, Cm, Duijn, Jm, Vink, Vogelzangs N, Bf, Voight, Walter S, Willemsen G, Zaridze D, Znaor A, Akil H, Anjorin A, Backlund L, Ja, Badner, Jd, Barchas, Tb, Barrett, Bass N, Bauer M, Bellivier F, Se, Bergen, Berrettini W, Blackwood D, Cs, Bloss, Breen G, Breuer R, We, Bunner, Burmeister M, Byerley W, Caesar S, Chambert K, Cichon S, St Clair D, Da, Collier, Corvin A, Wh, Coryell, Craddock N, Dw, Craig, Daly M, Day R, Degenhardt F, Djurovic S, Dudbridge F, Hj, Edenberg, Elkin A, Etain B, Ae, Farmer, Ma, Ferreira, Ferrier I, Flickinger M, Foroud T, Frank J, Fraser C, Frisén L, Es, Gershon, Gill M, Gordon-Smith K, Ek, Green, Ta, Greenwood, Grozeva D, Guan W, Gurling H, Ó, Gustafsson, Ml, Hamshere, Hautzinger M, Herms S, Hipolito M, Pa, Holmans, Cm, Hultman, Jamain S, Eg, Jones, Jones I, Jones L, Kandaswamy R, Jl, Kennedy, Gk, Kirov, Dl, Koller, Kwan P, Landén M, Langstrom N, Lathrop M, Lawrence J, Wb, Lawson, Leboyer M, Ph, Lee, Li J, Lichtenstein P, Lin D, Liu C, Fw, Lohoff, Lucae S, Pb, Mahon, Maier W, Ng, Martin, Mattheisen M, Matthews K, Mattingsdal M, Ka, Mcghee, McGuffin P, Mg, Mcinnis, McIntosh A, McKinney R, Aw, Mclean, Fj, Mcmahon, McQuillin A, Meier S, Melle I, Meng F, Pb, Mitchell, Gw, Montgomery, Moran J, Morken G, Dw, Morris, Moskvina V, Muglia P, Tw, Mühleisen, Wj, Muir, Müller-Myhsok B, Rm, Myers, Cm, Nievergelt, Nikolov I, Nimgaonkar V, Mm, Nöthen, Ji, Nurnberger, Ea, Nwulia, O'Dushlaine C, Osby U, Óskarsson H, Mj, Owen, Petursson H, Bs, Pickard, Porgeirsson P, Jb, Potash, Propping P, Sm, Purcell, Quinn E, Raychaudhuri S, Rice J, Rietschel M, Ruderfer D, Schalling M, Af, Schatzberg, Wa, Scheftner, Pr, Schofield, Tg, Schulze, Schumacher J, Mm, Schwarz, Scolnick E, Lj, Scott, Pd, Shilling, Sigurdsson E, Sklar P, En, Smith, Stefansson H, Stefansson K, Steffens M, Steinberg S, Strauss J, Strohmaier J, Szelinger S, Rc, Thompson, Tozzi F, Treutlein J, Jb, Vincent, Sj, Watson, Tf, Wienker, Williamson R, Sh, Witt, Wright A, Xu W, Ah, Young, Pp, Zandi, Zhang P, Zöllner S, Agartz I, Albus M, Alexander M, Rl, Amdur, Amin F, Bitter I, Dw, Black, Ad, Børglum, Ma, Brown, Bruggeman R, Ng, Buccola, Wf, Byerley, Cahn W, Rm, Cantor, Vj, Carr, Sv, Catts, Choudhury K, Cloninger C, Cormican P, Pa, Danoy, Datta S, DeHert M, Demontis D, Dikeos D, Donnelly P, Donohoe G, Duong L, Dwyer S, Fanous A, Fink-Jensen A, Freedman R, Nb, Freimer, Friedl M, Georgieva L, Giegling I, Glenthøj B, Godard S, Golimbet V, de Haan L, Hansen M, Hansen T, Am, Hartmann, Fa, Henskens, Dm, Hougaard, Ingason A, Av, Jablensky, Kd, Jakobsen, Jay M, Eg, Jönsson, Jürgens G, Rs, Kahn, Mc, Keller, Ks, Kendler, Kenis G, Kenny E, Konnerth H, Konte B, Krabbendam L, Krasucki R, Vk, Lasseter, Laurent C, Lencz T, Lerer F, Ky, Liang, Ja, Lieberman, Dh, Linszen, Lönnqvist J, Cm, Loughland, Aw, Maclean, Bs, Maher, Ak, Malhotra, Mallet J, Malloy P, Jj, Mcgrath, McLean DE, Pt, Michie, Milanova V, Mors O, Pb, Mortensen, Bj, Mowry, Myin-Germeys I, Neale B, Da, Nertney, Nestadt G, Nielsen J, Nordentoft M, Norton N, O'Neill F, Olincy A, Olsen L, Ra, Ophoff, Tf, Ørntoft, van Os J, Pantelis C, Papadimitriou G, Cn, Pato, Mt, Pato, Peltonen L, Pickard B, Op, Pietiläinen, Pimm J, Ae, Pulver, Puri V, Digby Quested, Hb, Rasmussen, Jm, Réthelyi, Ribble R, Bp, Riley, Rossin L, Ruggeri M, Rujescu D, Schall U, Sg, Schwab, Rj, Scott, Jm, Silverman, Cc, Spencer, Strange A, Strengman E, Stroup T, Suvisaari J, Terenius L, Thirumalai S, Timm S, Toncheva D, Tosato S, Ej, Den Oord, Veldink J, Pm, Visscher, Walsh D, Ag, Wang, Werge T, Wiersma D, Db, Wildenauer, Hj, Williams, Nm, Williams, van Winkel R, Wormley B., Biological Psychology, Functional Genomics, Educational Neuroscience, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, ANS - Amsterdam Neuroscience, Adult Psychiatry, Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Gibson, Greg, Germeys, Inez, van Winkel, Ruud, and De Hert, Marc

Subjects
False discovery rate, Netherlands Twin Register (NTR), Cancer Research, Linkage disequilibrium, Genome-wide association study, Linkage Disequilibrium, 0302 clinical medicine, 2.1 Biological and endogenous factors, Aetiology, Genetics (clinical), Genetics, 0303 health sciences, Statistics, Genomics, Single Nucleotide, Genome Scans, Tobacco and Genetics Consortium, Functional Genomics, Phenotype, complex trait, Research Article, Bipolar Disorder Psychiatric Genomics Consortium, lcsh:QH426-470, SNP, Single-nucleotide polymorphism, Computational biology, Biostatistics, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, "genome-wide association study", Genome Analysis Tools, Clinical Research, Schizophrenia Psychiatric Genomics Consortium, Genome-Wide Association Studies, Humans, Genetic Predisposition to Disease, Statistical Methods, Polymorphism, Molecular Biology, Genetic Association Studies, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genetic association, Linkage (software), Human Genome, Computational Biology, Human Genetics, Heritability, R1, schizophrenia, lcsh:Genetics, Schizophrenia, Mathematics, 030217 neurology & neurosurgery, Genome-Wide Association Study, Developmental Biology
Abstract

Recent results indicate that genome-wide association studies (GWAS) have the potential to explain much of the heritability of common complex phenotypes, but methods are lacking to reliably identify the remaining associated single nucleotide polymorphisms (SNPs). We applied stratified False Discovery Rate (sFDR) methods to leverage genic enrichment in GWAS summary statistics data to uncover new loci likely to replicate in independent samples. Specifically, we use linkage disequilibrium-weighted annotations for each SNP in combination with nominal p-values to estimate the True Discovery Rate (TDR = 1−FDR) for strata determined by different genic categories. We show a consistent pattern of enrichment of polygenic effects in specific annotation categories across diverse phenotypes, with the greatest enrichment for SNPs tagging regulatory and coding genic elements, little enrichment in introns, and negative enrichment for intergenic SNPs. Stratified enrichment directly leads to increased TDR for a given p-value, mirrored by increased replication rates in independent samples. We show this in independent Crohn's disease GWAS, where we find a hundredfold variation in replication rate across genic categories. Applying a well-established sFDR methodology we demonstrate the utility of stratification for improving power of GWAS in complex phenotypes, with increased rejection rates from 20% in height to 300% in schizophrenia with traditional FDR and sFDR both fixed at 0.05. Our analyses demonstrate an inherent stratification among GWAS SNPs with important conceptual implications that can be leveraged by statistical methods to improve the discovery of loci., Author Summary Modern genome-wide association studies (GWAS) have failed to identify large portions of the genetic basis of common, complex traits. Recent work suggested this could be because many genetic variants, each with individually small effects, compose their genetic architecture, limiting the power of GWAS. Moreover, these variants appear more abundantly in and near genes. Using genome annotations, summary statistics from several of the largest GWAS, and established statistical methods for quantifying distributions of test statistics, we show a consistency across studies. Namely, we show that, across all assessed traits, the test statistics resulting from SNPs that are related to the 5′ UTR of genes show the largest abundance of associations, while SNPs related to exons and the 3′UTR are also enriched. SNPs related to introns are only moderately enriched, and intergenic SNPs show a depletion of associations relative to the average SNP. This enrichment corresponds directly to increased replication across independent samples and can be incorporated a priori into statistical methods to improve discovery and prediction. Our results contribute to on-going debates about the functional nature of the genetic architecture of complex traits and point to avenues for leveraging existing GWAS data for discovery in future GWA and sequencing studies.

Published
2013

28. A genome-wide association study of depressive symptoms

Author

Hek, K, Demirkan, A, Lahti, J, Terracciano, A, Teumer, A, Cornelis, MC, Amin, N, Bakshis, E, Baumert, J, Ding, J, Liu, Y, Marciante, K, Meirelles, O, Nalls, MA, Sun, YV, Vogelzangs, N, Yu, L, Bandinelli, S, Benjamin, EJ, Bennett, DA, Boomsma, D, Cannas, A, Coker, LH, De Geus, E, De Jager, PL, Diez-Roux, AV, Purcell, S, Hu, FB, Rimm, EB, Hunter, DJ, Jensen, MK, Curhan, G, Rice, K, Penman, AD, Rotter, JI, Sotoodehnia, N, Emeny, R, Eriksson, JG, Evans, DA, Ferrucci, L, Fornage, M, Gudnason, V, Hofman, A, Illig, T, Kardia, S, Kelly-Hayes, M, Koenen, K, Kraft, P, Kuningas, M, Massaro, JM, Melzer, D, Mulas, A, Mulder, CL, Murray, A, Oostra, BA, Palotie, A, Penninx, B, Petersmann, A, Pilling, LC, Psaty, B, Rawal, R, Reiman, EM, Schulz, A, Shulman, JM, Singleton, AB, Smith, AV, Sutin, AR, and Uitterlinden, AG

Abstract

Background: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms. Methods: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p

Published
2013

30. Dysregulation of the Autonomic Nervous System and Its Association With the Presence and Intensity of Chronic Widespread Pain

Author

Barakat, A., Vogelzangs, N., Licht, C.M.M., Geenen, R., Macfarlane, G.J., de Geus, E.J.C., Smit, J.H., Penninx, B.W.J.H., Dekker, J., Clinical Neuropsychology, Biological Psychology, Clinical Psychology, EMGO+ - Mental Health, Psychiatry, Rehabilitation medicine, and EMGO - Mental health

Subjects
SDG 3 - Good Health and Well-being, human activities, circulatory and respiratory physiology
Abstract

Objective To test the hypotheses that dysregulation of the autonomic nervous system (ANS) is associated with the presence of chronic widespread pain (CWP), and that dysregulation of the ANS is associated with higher pain intensity in CWP. Methods Cross-sectional data were obtained from 1,574 subjects (healthy controls as well as persons with depressive and anxiety disorders) participating in The Netherlands Study of Depression and Anxiety. The Chronic Pain Grade was used to assess pain intensity and pain-related disability. Heart rate (HR), SD of the normal-to-normal interval (SDNN), the preejection period (PEP), and respiratory sinus arrhythmia (RSA) were used to assess the ANS. Logistic regression analyses and linear regression analyses were conducted with adjustment for potential confounders. Results No differences in HR, PEP, SDNN, or RSA values were found between CWP subjects and controls after adjustment for confounders. However, lower SDNN and lower RSA were associated with higher pain intensity in subjects with CWP. Conclusion Lower parasympathetic activity, as assessed with SDNN and RSA, is associated with higher pain intensity in subjects with CWP. This large and well-controlled study does not provide evidence for an association between dysregulation of the ANS and the presence of CWP. Copyright © 2012 by the American College of Rheumatology.

Published
2012

38. Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))

Author

Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Mägi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparsø, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proença, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, De Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jørgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martínez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orr, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigursson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvänen, A-C, Tanaka, T, Thorand, B, Tichet, J, Tönjes, A, Tuomi, T, Uitterlinden, AG, Van Dijk, KW, Van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Consortium, D, Consortium, G, Consortium, GB, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Ríos, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, Van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, and Barroso, I

Published
2010

39. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

Author

Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Maegi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparso, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proenca, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Boettcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, de Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jorgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martinez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orru, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigurosson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvaenen, A-C, Tanaka, T, Thorand, B, Tichet, J, Toenjes, A, Tuomi, T, Uitterlinden, AG, van Dijk, KW, van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Rios, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, Consortium, DIAGRAM, Consortium, GIANT, Consortium, GB, Consortium, P, and Investigators, IBMAGIC

Published
2010

42. Aging and behavioral medicine

Author

Penninx, B.W.J.H., Vogelzangs, N., Steptoe, E., Freedland, E., Jennings, J.R., Llabre, M.M., Manuck, S.B., Susman, E.J., Psychiatry, and EMGO - Mental health

Published
2010

45. Depressive and anxiety disorders and risk of subclinical atherosclerosis Findings from the Netherlands Study of Depression and Anxiety (NESDA)

Author

Seldenrijk, A., Vogelzangs, N., van Hout, H.P.J., van Marwijk, H.W.J., Diamant, M., Penninx, B.W.J.H., Psychiatry, General practice, Internal medicine, EMGO - Mental health, ICaR - Ischemia and repair, and EMGO+ - Mental Health

Subjects
SDG 3 - Good Health and Well-being, Ankle-brachial index Anxiety Depression Subclinical atherosclerosis coronary-artery-disease intima-media thickness ankle-brachial index carotid atherosclerosis heart-disease psychometric properties major depression lifetime history women symptoms
Abstract

Objective: Current evidence regarding the association between psychopathology and subclinical atherosclerosis show inconsistent results. The present study examined whether subclinical atherosclerosis was more prevalent in a large cohort of persons with depressive or anxiety disorders as compared to non-depressed and non-anxious controls. Methods: Baseline data from the Netherlands Study of Depression and Anxiety were used, including 2717 persons, free of clinical cardiovascular disease. Participants had a DSM-IV-based current or remitted depressive (major depressive disorder, dysthymia) or anxiety (social phobia, generalized anxiety disorder, panic disorder, agoraphobia) disorder (n=2115) or were healthy controls (n=602). Additional clinical characteristics (severity, duration, age of onset and medication) were assessed. Ankle-brachial index (ABI) was used as a measure of vascular risk and was categorized as low (1.40), which was previously designated as a cardiovascular risk factor, reflecting arterial stiffness and wall calcification. Results: As compared to normal controls, persons with current (i.e., past year) depressive, anxiety or comorbid depressive and anxiety disorders showed a two- to threefold increased odds of low ABI (OR=2.78, 95% CI=1.05-7.35; OR=3.14, 95% CI=1.25-7.85; OR=2.67, 95% CI=1.09-6.51, respectively). No associations were found with mildly low or high ABI. Also, we did not further find a differential role for symptoms severity, duration, age of onset, and use of psychotropic medication in the link between psychopathology and subclinical atherosclerosis. Conclusion: Persons with current depressive or anxiety disorders were more likely to have subclinical atherosclerosis compared to healthy controls. (C) 2010 Elsevier Inc. All rights reserved.

Published
2010

47. Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and Type 2 diabetes susceptibility

Author

Guigas, B, de Leeuw van Weenen, J E, van Leeuwen, N, Simonis-Bik, A M, van Haeften, T W, Nijpels, G, Houwing-Duistermaat, J J, Beekman, M, Deelen, J, Havekes, L M, Penninx, B W J H, Vogelzangs, N, van 't Riet, E, Dehghan, A, Hofman, A, Witteman, J C, Uitterlinden, A G, Grarup, Niels, Jørgensen, Torben, Witte, D R, Lauritzen, T, Hansen, Torben, Pedersen, O, Hottenga, J, Romijn, J A, Diamant, M, Kramer, M H H, Heine, R J, Willemsen, G, Dekker, J M, Eekhoff, E M, Pijl, H, de Geus, E J, Slagboom, P E, 't Hart, L M, Guigas, B, de Leeuw van Weenen, J E, van Leeuwen, N, Simonis-Bik, A M, van Haeften, T W, Nijpels, G, Houwing-Duistermaat, J J, Beekman, M, Deelen, J, Havekes, L M, Penninx, B W J H, Vogelzangs, N, van 't Riet, E, Dehghan, A, Hofman, A, Witteman, J C, Uitterlinden, A G, Grarup, Niels, Jørgensen, Torben, Witte, D R, Lauritzen, T, Hansen, Torben, Pedersen, O, Hottenga, J, Romijn, J A, Diamant, M, Kramer, M H H, Heine, R J, Willemsen, G, Dekker, J M, Eekhoff, E M, Pijl, H, de Geus, E J, Slagboom, P E, and 't Hart, L M

Abstract

AIMS: Modulation of dopamine receptor D2 (DRD2) activity affects insulin secretion in both rodents and isolated pancreatic β-cells. We hypothesized that single nucleotide polymorphisms in the DRD2/ANKK1 locus may affect susceptibility to Type 2 diabetes in humans.METHODS: Four potentially functional variants in the coding region of the DRD2/ANKK1 locus (rs1079597, rs6275, rs6277, rs1800497) were genotyped and analysed for Type 2 diabetes susceptibility in up to 25 000 people (8148 with Type 2 diabetes and 17687 control subjects) from two large independent Dutch cohorts and one Danish cohort. In addition, 340 Dutch subjects underwent a 2-h hyperglycaemic clamp to investigate insulin secretion. Since sexual dimorphic associations related to DRD2 polymorphisms have been previously reported, we also performed a gender-stratified analysis.RESULTS: rs1800497 at the DRD2/ANKK1 locus was associated with a significantly increased risk for Type 2 diabetes in women (odds ratio 1.14 (1.06-1.23); P = 4.1*10(-4) ) but not in men (odds ratio 1.00 (95% CI 0.93-1.07); P = 0.92) or the combined group. Although rs1800497 was not associated with insulin secretion, we did find another single nucleotide polymorphism in this locus, rs6275, to be associated with increased first-phase glucose-stimulated insulin secretion in women (P = 5.5*10(-4) ) but again not in men (P = 0.34).CONCLUSION: The present data identify DRD2/ANKK1 as a potential sex-specific Type 2 diabetes susceptibility gene.

Published
2014

48. Association between serum brain-derived neurotrophic factor and plasma interleukin-6 in major depressive disorder with melancholic features

Author

Patas, K., Penninx, B.W.J.H., Bus, B.A.A., Vogelzangs, N., Molendijk, M.L., Elzinga, B.M., Bosker, F.J., Oude Voshaar, R.C., Patas, K., Penninx, B.W.J.H., Bus, B.A.A., Vogelzangs, N., Molendijk, M.L., Elzinga, B.M., Bosker, F.J., and Oude Voshaar, R.C.

Abstract

Contains fulltext : 127673.pdf (publisher's version ) (Closed access), Inflammatory processes as well as attenuation of brain-derived neurotrophic factor (BDNF) availability are involved in the pathophysiology of major depressive disorder (MDD). Although it is generally presumed that these two systems interact negatively in the brain, preclinical and human in vitro studies have shown synergistic rather than antagonistic interactions in the periphery. We therefore examined the association between serum levels of BDNF and plasma levels of interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-alpha) in patients with MDD (n=1070) and non-depressed controls (n=379) from the Netherlands Study of Depression and Anxiety. We used multiple regression analyses with serum BDNF as the dependent variable and we specifically tested the presence of BDNF-cytokine associations in DSM-IV-assigned melancholic MDD patients, identified by the Inventory of Depressive Symptomatology. After adjustment for sociodemographics, sampling variability, lifestyle indicators, somatic diseases and medication use, BDNF levels were predicted by the interaction between MDD diagnosis and IL-6 (p-interaction=.006). Stratified analyses showed that BDNF levels are indeed positively associated with IL-6 levels in MDD patients (beta=.07, p=.02), but not in non-depressed controls (beta=-.07, p=.23). When further stratified for melancholic and non-melancholic MDD (p-interaction=.005), IL-6 emerged as a robust positive predictor of BDNF only in the melancholic sample (beta=.21, p=.01), wherein serum BDNF levels were accordingly enhanced. Post-hoc exploratory analyses verified an accentuated positive association of BDNF levels with leucocyte counts in melancholia. No significant associations emerged between BDNF and TNF-alpha. Overall, our cross-sectional approach may have disclosed an allostatic, BDNF-inducing component of peripheral immunity and/or an immunotrophic function of peripheral BDNF. Both scenarios may warrant further exploration, as they could inform new research co

Published
2014

49. Late-life depression symptom profiles are differentially associated with immunometabolic functioning

Author

Vogelzangs, N., Comijs, H.C., Oude Voshaar, R.C., Stek, M.L., Penninx, B.W.J.H., Vogelzangs, N., Comijs, H.C., Oude Voshaar, R.C., Stek, M.L., and Penninx, B.W.J.H.

Abstract

Item does not contain fulltext, Growing evidence suggests immune and metabolic dysregulation among depressed persons, possibly restricted to specific subgroups. This study explores the association between depressive disorders and characteristics with immunometabolic functioning among older persons. Data are from the baseline assessment of the Netherlands Study of Depression in Older Persons, including 131 non-depressed and 358 depressed (6-month DSM-IV major depressive disorder) persons (60-93years). Immune (C-reactive protein, interleukin [IL]-6) and metabolic (waist circumference, triglycerides, high-density lipoprotein cholesterol, blood pressure, fasting glucose) factors were measured. Depression characteristics included severity, age of onset, symptom profile (atypical/melancholic) and antidepressant use. Depressed persons showed lower IL-6 levels compared with non-depressed persons. Depressed persons, except those with atypical depression, had lower waist circumference, lower glucose levels and scored lower on an overall index including all immunometabolic factors. Low waist circumference was more pronounced among those with less severe depression and those with a later age of onset, whom also had lower blood pressure levels. Atypical depression was associated with higher triglyceride levels. Antidepressant use was not clearly associated with immunometabolic functioning. To conclude, contrary to our expectations, we found overall immunometabolic downregulation in older depressed persons, in particular among those with less severe symptoms and those with late-life onset. However, persons with atypical depression presented with metabolic upregulation compared with other depressed persons. Taking depression symptom profiles into account is important when examining biological dysregulation in late-life depression.

Published
2014

50. Sleep duration, but not insomnia, predicts the 2-year course of depressive and anxiety disorders

Author

Mill, J. van, Vogelzangs, N. (Nicole), Someren, E.J.W. (Eus) van, Hoogendijk, W.J.G. (Witte), Penninx, B.W.J.H. (Brenda), Mill, J. van, Vogelzangs, N. (Nicole), Someren, E.J.W. (Eus) van, Hoogendijk, W.J.G. (Witte), and Penninx, B.W.J.H. (Brenda)

Abstract

Objective: To examine the predictive role of insomnia andsleep duration on the 2-year course of depressive andanxiety disorders. Method: This study is a secondary data analysis based ondata from the baseline (2004-2007) and 2-year assessmentof the Netherlands Study of Depression and Anxiety.Participants were 1,069 individuals with DSM-IV-baseddepressive and/or anxiety disorders at baseline. Sleepmeasures included insomnia (Women's Health InitiativeInsomnia Rating Scale score ≥ 9) and sleep duration(categorized as short [≤ 6 hours], normal [7-9 hours], orlong [≥ 10 hours]). Outcome measures were persistence of DSM-IV depressive and anxiety disorders (currentdiagnosis at 2-year follow-up), time to remission, andclinical course trajectory of symptoms (early sustainedremission, late remission/recurrence, and chroniccourse). Logistic regression analyses were adjusted forsociodemographic characteristics and chronic medicaldisorders, psychotropic medications, and severity ofdepressive and anxiety symptoms. Results: The effect of insomnia on persistence of depressiveand/or anxiety disorders (OR = 1.50; 95% CI, 1.16-1.94)was explained by severity of baseline depressive/anxietysymptoms (adjusted OR with severity = 1.04; 95% CI,0.79-1.37). Long sleep duration was independentlyassociated with persistence of depression/anxiety evenafter adjusting for severity of psychiatric symptoms(OR = 2.52; 95% CI, 1.27-4.99). For short sleep duration, theindependent association with persistence of combineddepression/anxiety showed a trend toward significance(OR = 1.32; 95% CI, 0.98-1.78), and a significant associationfor the persistence of depressive disorders (OR = 1.49; 95%CI, 1.11-2.00). Both short and long sleep duration wereindependently associated with a chronic course trajectory(short sleep: OR = 1.50; 95% CI, 1.04-2.16; long sleep:OR = 2.91, 95% CI, 1.22-6.93). Discussion: Both short and long sleep duration-but not insomni

Published
2014
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