16 results on '"Kallen, Carla Van Der"'
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2. P151 Microvascular Dysfunction is Associated with Impaired Beta-cell Function: The Maastricht Study
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Li, Wenjie, Houben, Alfons, Berendschot, Tos, Webers, Carroll, Kroon, Abraham, Greevenbroek, Marleen van, Kallen, Carla van der, Henry, Ronald, Sep, Simone, Dagnelie, Pieter, Schaper, Nicolaas, Eussen, Simone, Schalkwijk, Casper, Schram, Miranda, and Stehouwer, Coen
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- 2019
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3. NEURODEGENERATION, MICROVASCULAR DYSFUNCTION AND THEIR INTERACTION: ASSOCIATIONS WITH COGNITIVE PERFORMANCE – THE MAASTRICHT STUDY
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Heide, Frank van der, primary, Henry, Ronald, additional, Houben, Alfons, additional, Kroon, Abraham, additional, Kallen, Carla van der, additional, Dagnelie, Pieter, additional, Schram, Miranda, additional, Eussen, Simone, additional, Berendschot, Tos, additional, Schouten, Jan, additional, Webers, Carroll, additional, Greevenbroek, Marleen Van, additional, Wesselius, Anke, additional, Koster, Annemarie, additional, Savelberg, Hans, additional, Schaper, Nicolaas, additional, Schalkwijk, Casper, additional, Boxtel, Martin van, additional, Kohler, Seb, additional, and Stehouwer, Coen, additional
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- 2022
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4. ALCOHOL CONSUMPTION AND MICROVASCULAR DYSFUNCTION: A J-SHAPED ASSOCIATION– THE MAASTRICHT STUDY
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Heide, Frank van der, primary, Eussen, Simone, additional, Houben, Alfons, additional, Henry, Ronald, additional, Kroon, Abraham, additional, Kallen, Carla van der, additional, Dagnelie, Pieter, additional, Dongen, Martien Van, additional, Berendschot, Tos, additional, Schouten, Jan, additional, Webers, Carroll, additional, Schram, Miranda, additional, Greevenbroek, Marleen Van, additional, Wesselius, Anke, additional, Schalkwijk, Casper, additional, Koster, Annemarie, additional, Jansen, Jacobus, additional, Backes, Walter, additional, Beulens, Joline, additional, and Stehouwer, Coen, additional
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- 2022
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5. (Pre)Diabetes, Greater Glycemia, and Greater Daily Glucose Variability are Associated with Lower Retinal Nerve Fiber Layer Thickness, an Index of Neurodegeneration and Precursor of Diabetic Retinopathy– The Maastricht Study
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Heide, Frank CT van der, primary, Foreman, Yuri, additional, Franken, Iris, additional, Henry, Ronald, additional, Kroon, Abraham, additional, Dagnelie, pieter, additional, Eussen, Simone, additional, Berendschot, Tos, additional, Schouten, Jan, additional, Webers, Carroll, additional, Schram, Miranda, additional, kallen, Carla van der, additional, Greevenbroek, Marleen van, additional, Wesselius, Anke, additional, Schalkwijk, Casper, additional, Schaper, Nicolaas, additional, Brouwers, Martijn, additional, and Stehouwer, Coen, additional
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- 2021
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6. Additional file 1: of Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study â
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Brinkhues, Stephanie, Dukers-Muijrers, Nicole, Hoebe, Christian, Kallen, Carla Van Der, Dagnelie, Pieter, Koster, Annemarie, Henry, Ronald, Sep, Simone, Schaper, Nicolaas, Stehouwer, Coen, Bosma, Hans, Savelkoul, Paul, and Schram, Miranda
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A detailed description of the social network questionnaire and the structural characteristics of the social network. Includes a detailed description of the social network questionnaire used in the present report. (DOCX 18Â kb)
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- 2017
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7. Additional file 14: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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body regions ,nervous system ,fungi - Abstract
DNA methylation was associated with gene expression. (PDF 21974Â kb)
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- 2016
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8. Additional file 4: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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The EWAS effect size estimates were not sensitive to the exclusion of non-fasted samples, the exclusion of samples with imputed cell counts, or the addition of current smoking behavior, lipid-lowering medication, or BMI as covariates. (PDF 273Â kb)
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- 2016
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9. Additional file 12: of Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms
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Slieker, Roderick, Iterson, Maarten Van, RenĂŠ Luijk, Beekman, Marian, Zhernakova, Daria, Moed, Matthijs, Hailiang Mei, Galen, Michiel Van, Deelen, Patrick, Bonder, Marc, Zhernakova, Alexandra, AndrĂŠ Uitterlinden, Tigchelaar, Ettje, Stehouwer, Coen, Schalkwijk, Casper, Kallen, Carla Van Der, Hofman, Albert, Heemst, Diana Van, Eco De Geus, Dongen, Jenny Van, Deelen, Joris, Berg, Leonard Van Den, Meurs, Joyce Van, Jansen, Rick, Hoen, Peter, Franke, Lude, Wijmenga, Cisca, Veldink, Jan, Swertz, Morris, Greevenbroek, Marleen Van, Duijn, Cornelia Van, Dorret Boomsma, P. Slagboom, and Heijmans, Bastiaan
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Description of external datasets used. (PDF 79 kb)
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- 2016
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10. Additional file 3: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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animal structures ,embryonic structures ,fungi ,lipids (amino acids, peptides, and proteins) ,human activities - Abstract
Estimates and 95Â % confidence intervals for the EWAS-identified CpGs for each cohort contributing to the meta-analysis for TG, LDL-C, and HDL-C. (PDF 297Â kb)
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- 2016
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11. Additional file 2: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, Uitterlinden, André, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Peter ’T Hoen, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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Quantile–quantile plots depicting the associations between TG, LDL-C, and HDL-C and genome-wide DNA methylation when compared with a uniform distribution expected by chance for a uncorrected meta-analysis z-values and b meta-analysis z-values corrected for genome-wide inflation using genomic control (λ = 1.0). (PDF 14800 kb)
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- 2016
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12. Additional file 9: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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Comparison between EWAS and MR estimates (with 95Â % confidence intervals). (PDF 109Â kb)
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- 2016
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13. Reference values for local arterial stiffness. Part B: femoral artery
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Bossuyt, Jelle, Engelen, Lian, Ferreira, Isabel, Stehouwer, Coen, Boutouyrie, Pierre, Laurent, Stéphane, Segers, Patrick, Reesink, Koen, Bortel, Luc Van, Mattace Raso, Francesco US, Hofman, Albert, Franco, Oscar H, Kavousi, Maryam, Rooij, Frank J. A. van, Jouven, Xavier, Empana, Jean Philippe, Bozec, Erwan, Khettab, Hakim, Simon, Tabassome, Pannier, Bruno, Bots, Michiel L., Grobbee, Diederick E., Uiterwaal, Cuno S., Evelein, Annemieke, Graaf, Yolanda van der, Visseren, Frank L. J., Rietzschel, Ernst, Bacquer, Dirk De, Daele, Caroline Van, Buyzere, Marc De, Dekker, Jacqueline, Nijpels, Giel, Twisk, Jos, Smulders, Yvo, Schalkwijk, Casper, Greevenbroek, Marleen van, Kallen, Carla van der, Laar, Roel van de, Feskens, Edith, Staessen, Jan, Thijs, Lutgarde, Kouznetsova, Tatyana, Jin, Yu, Liu, Yanping, Wang, Jiguang, Yan, Li, Bianchini, Elisabetta, Ghiadoni, Lorenzo, Bruno, ROSA MARIA, Pratali, Lorenza, Taddei, Stefano, Fischer, Joachim, Terris, Darcey, Jarczok, Marc, Thole, Maren, Ryliskyte, Ligita, Laucevicius, Aleksandras, Ryliskiene, Kristina, Kuzmickiene, Jurgita, Heuten, Hilde, Goovaerts, Inge, Ennekens, Guy, Vrints, Christiaan, Tolezani, Elaine C, Hong, Valéria, Bortolotto, Luiz, Benetos, Athanase, Labat, Carlos, Lacolley, Patrick, Rimoldi, Stefano F, Stucki, Fabian, Hutter, Damian, Rexhaj, Emrush, Faita, Francesco, Sartori, Claudio, Scherrer, Urs, Allemann, Yves, Giannattasio, Cristina, Nava, Stefano, Maloberti, Alessandro, Meani, Paolo, Vermeer, Cees, Knapen, Marjo, Drummen, Nadja, Kollai, Márk, Pintér, Alexandra, Horváth, Tamás, Thuillez, Christian, Joannidès, Robinson, Bellien, Jérémy, Delahousse, Michel, Karras, Alexandre, Vanmolkot, Floris, Hoon, Jan de, Narkiewicz, Krzysztof, Szyndler, Anna, Hoffmann, Michał, Nowak, Robert, Polonis, Katarzyna, Filipovský, Jan, Agharazii, Mohsen, Briet, Marie, Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), Biomedische Technologie, RS: CARIM - R2 - Cardiac function and failure, RS: CARIM - R3 - Vascular biology, and MUMC+: KIO Kemta (9)
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Adult ,Male ,Mean arterial pressure ,medicine.medical_specialty ,Adolescent ,Physiology ,Population ,Femoral artery ,Young Adult ,Vascular Stiffness ,Reference Values ,medicine.artery ,Internal medicine ,Internal Medicine ,medicine ,80 and over ,risk factors ,Humans ,education ,Pulse wave velocity ,Aged ,Aged, 80 and over ,Aorta ,education.field_of_study ,business.industry ,Middle Aged ,medicine.disease ,Pulse pressure ,Surgery ,Femoral Artery ,arterial stiffness ,ageing ,Cardiology ,Arterial stiffness ,Aortic stiffness ,Female ,femoral artery ,reference values ,Cardiology and Cardiovascular Medicine ,business - Abstract
OBJECTIVE: Carotid-femoral pulse wave velocity (PWV) is considered the gold standard measure of arterial stiffness, representing mainly aortic stiffness. As compared with the elastic carotid and aorta, the more muscular femoral artery may be differently associated with cardiovascular risk factors (CV-RFs), or, as shown in a recent study, provide additional predictive information beyond carotid-femoral PWV. Still, clinical application is hampered by the absence of reference values. Therefore, our aim was to establish age and sex-specific reference values for femoral stiffness in healthy individuals and to investigate the associations with CV-RFs.METHODS: Femoral artery distensibility coefficient, the inverse of stiffness, was calculated as the ratio of relative diastolic-systolic distension (obtained from ultrasound echo-tracking) and pulse pressure among 5069 individuals (49.5% men, age range: 15-87 years). Individuals without cardiovascular disease (CVD), CV-RFs and medication use (n = 1489; 43% men) constituted a healthy subpopulation used to establish sex-specific equations for percentiles of femoral artery distensibility coefficient across age.RESULTS: In the total population, femoral artery distensibility coefficient Z-scores were independently associated with BMI, mean arterial pressure (MAP) and total to high-density lipoprotein (HDL) cholesterol ratio. Standardized βs, in men and women, respectively, were -0.18 [95% confidence interval (95% CI) -0.23 to -0.13] and -0.19 (-0.23 to -0.14) for BMI; -0.13 (-0.18 to -0.08) and -0.05 (-0.10 to -0.01) for MAP; and -0.07 (-0.11 to -0.02) and -0.16 (-0.20 to -0.11) for total-to-HDL cholesterol ratio.CONCLUSION: In young and middle-aged men and women, normal femoral artery stiffness does not change substantially with age up to the sixth decade. CV-RFs related to metabolic disease are associated with femoral artery stiffness.
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- 2015
14. Reference values for local arterial stiffness. Part A: carotid artery
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Engelen, Lian, Bossuyt, Jelle, Ferreira, Isabel, Bortel, Luc Van, Reesink, Koen, Segers, Patrick, Stehouwer, Coen, Laurent, Stéphane, Boutouyrie, Pierre, Mattace Raso, Francesco US, Hofman, Albert, Franco, Oscar H, Kavousi, Maryam, Rooij, Frank J. A. van, Jouven, Xavier, Empana, Jean Philippe, Bozec, Erwan, Khettab, Hakim, Simon, Tabassome, Pannier, Bruno, Bots, Michiel L., Grobbee, Diederick E., Uiterwaal, Cuno S., Evelein, Annemieke, Graaf, Yolanda van der, Visseren, Frank L. J., Rietzschel, Ernst, Bacquer, Dirk De, Daele, Caroline Van, Buyzere, Marc De, Dekker, Jacqueline, Nijpels, Giel, Twisk, Jos, Smulders, Yvo, Schalkwijk, Casper, Greevenbroek, Marleen van, Kallen, Carla van der, Laar, Roel van de, Feskens, Edith, Staessen, Jan, Thijs, Lutgarde, Kouznetsova, Tatyana, Jin, Yu, Liu, Yanping, Wang, Jiguang, Yan, Li, Bianchini, Elisabetta, Ghiadoni, Lorenzo, Bruno, ROSA MARIA, Pratali, Lorenza, Taddei, Stefano, Fischer, Joachim, Terris, Darcey, Jarczok, Marc, Thole, Maren, Ryliskyte, Ligita, Laucevicius, Aleksandras, Ryliskiene, Kristina, Kuzmickiene, Jurgita, Heuten, Hilde, Goovaerts, Inge, Ennekens, Guy, Vrints, Christiaan, Tolezani, Elaine C, Hong, Valéria, Bortolotto, Luiz, Benetos, Athanase, Labat, Carlos, Lacolley, Patrick, Rimoldi, Stefano F, Stucki, Fabian, Hutter, Damian, Rexhaj, Emrush, Faita, Francesco, Sartori, Claudio, Scherrer, Urs, Allemann, Yves, Giannattasio, Cristina, Nava, Stefano, Maloberti, Alessandro, Meani, Paolo, Vermeer, Cees, Knapen, Marjo, Drummen, Nadja, Kollai, Márk, Pintér, Alexandra, Horváth, Tamás, Thuillez, Christian, Joannidès, Robinson, Bellien, Jérémy, Delahousse, Michel, Karras, Alexandre, Vanmolkot, Floris, Hoon, Jan de, Narkiewicz, Krzysztof, Szyndler, Anna, Hoffmann, Michał, Nowak, Robert, Polonis, Katarzyna, Filipovský, Jan, Agharazii, Mohsen, Briet, Marie, Interne Geneeskunde, Biomedische Technologie, MUMC+: MA Interne Geneeskunde (3), RS: CARIM - R2 - Cardiac function and failure, RS: CARIM - R3 - Vascular biology, and MUMC+: KIO Kemta (9)
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Adult ,Male ,medicine.medical_specialty ,Mean arterial pressure ,Adolescent ,Physiology ,Young Adult ,Vascular Stiffness ,Reference Values ,Internal medicine ,medicine.artery ,Internal Medicine ,medicine ,Humans ,risk factors ,Common carotid artery ,Pulse wave velocity ,Aged ,ageing ,arterial stiffness ,carotid artery ,reference intervals ,Aged, 80 and over ,business.industry ,Middle Aged ,medicine.disease ,Confidence interval ,Pulse pressure ,Carotid Arteries ,Blood pressure ,Intima-media thickness ,Cardiology ,Arterial stiffness ,Female ,Cardiology and Cardiovascular Medicine ,business - Abstract
Objective:Non-invasive measures of common carotid artery properties, such as diameter and distension, and pulse pressure, have been widely used to determine carotid artery distensibility coefficient - a measure of carotid stiffness (stiffness approximate to 1/distensibility coefficient). Carotid stiffness has been associated with incident cardiovascular disease (CVD) and may therefore be a useful intermediate marker for CVD. We aimed to establish age and sex-specific reference intervals of carotid stiffness.Methods:We combined data on 22708 individuals (age range 15-99 years, 54% men) from 24 research centres worldwide. Individuals without CVD and established cardiovascular risk factors constituted a healthy sub-population (n=3601, 48% men) and were used to establish sex-specific equations for percentiles of carotid distensibility coefficient across age.Results:In the sub-population without CVD and treatment (n=12906, 52% men), carotid distensibility coefficient Z-scores based on these percentile equations were independently and negatively associated, in men and women, respectively, with diabetes {-0.28 [95% confidence interval (CI) -0.41; -0.15] and -0.27 (-0.43; -0.12)}, mean arterial pressure [-0.26 (-0.29; -0.24) and -0.32 (-0.35; -0.29)], total-to-high-density lipoprotein cholesterol ratio [-0.05 (-0.09; -0.02) and -0.05 (-0.11; 0.01)] and BMI [-0.06 (-0.09; -0.04) and -0.05 (-0.08; -0.02)], whereas these were positively associated with smoking [0.30 (0.24; 0.36) and 0.24 (0.18; 0.31)].Conclusions:We estimated age and sex-specific percentiles of carotid stiffness in a healthy population and assessed the association between cardiovascular risk factors and carotid distensibility coefficient Z-scores, which enables comparison of carotid stiffness values between (patient) groups with different cardiovascular risk profiles, helping interpretation of such measures.
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- 2015
15. Additional file 1: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
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3. Good health - Abstract
Full list of authors of the BIOS Consortium. (PDF 68Â kb)
16. Additional file 1: of Blood lipids influence DNA methylation in circulating cells
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Dekkers, Koen, Iterson, Maarten Van, Slieker, Roderick, Moed, Matthijs, Bonder, Marc, Galen, Michiel Van, Hailiang Mei, Zhernakova, Daria, Berg, Leonard Van Den, Deelen, Joris, Dongen, Jenny Van, Heemst, Diana Van, Hofman, Albert, Hottenga, Jouke, Kallen, Carla Van Der, Schalkwijk, Casper, Stehouwer, Coen, Tigchelaar, Ettje, AndrĂŠ Uitterlinden, Willemsen, Gonneke, Zhernakova, Alexandra, Franke, Lude, Hoen, Peter, Jansen, Rick, Meurs, Joyce Van, Dorret Boomsma, Duijn, Cornelia Van, Greevenbroek, Marleen Van, Veldink, Jan, Wijmenga, Cisca, Zwet, Erik Van, P. Slagboom, J. Jukema, and Heijmans, Bastiaan
- Subjects
3. Good health - Abstract
Full list of authors of the BIOS Consortium. (PDF 68Â kb)
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