113 results on '"van Meurs, J. B. J."'
Search Results
2. Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI
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Meessen, J. M. T. A., Saberi-Hosnijeh, F., Bomer, N., den Hollander, W., van der Bom, J. G., van Hilten, J. A., van Spil, W. E., So-Osman, C., Uitterlinden, A. G., Kloppenburg, M., Nelissen, R. G. H. H., van Duijn, C. M., Slagboom, P. E., van Meurs, J. B. J., and Meulenbelt, I.
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- 2020
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3. Dissecting the relationship between high-sensitivity serum C-reactive protein and increased fracture risk: the Rotterdam Study
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Oei, L., Campos-Obando, N., Dehghan, A., Oei, E. H. G., Stolk, L., van Meurs, J. B. J., Hofman, A., Uitterlinden, A. G., Franco, O. H., Zillikens, M. C., and Rivadeneira, F.
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- 2014
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4. Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation
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Longchamps, R. J., primary, Yang, S. Y., additional, Castellani, C. A., additional, Shi, W., additional, Lane, J., additional, Grove, M. L., additional, Bartz, T. M., additional, Sarnowski, C., additional, Liu, C., additional, Burrows, K., additional, Guyatt, A. L., additional, Gaunt, T. R., additional, Kacprowski, T., additional, Yang, J., additional, De Jager, P. L., additional, Yu, L., additional, Bergman, A., additional, Xia, R., additional, Fornage, M., additional, Feitosa, M. F., additional, Wojczynski, M. K., additional, Kraja, A. T., additional, Province, M. A., additional, Amin, N., additional, Rivadeneira, F., additional, Tiemeier, H., additional, Uitterlinden, A. G., additional, Broer, L., additional, Van Meurs, J. B. J., additional, Van Duijn, C. M., additional, Raffield, L. M., additional, Lange, L., additional, Rich, S. S., additional, Lemaitre, R. N., additional, Goodarzi, M. O., additional, Sitlani, C. M., additional, Mak, A. C. Y., additional, Bennett, D. A., additional, Rodriguez, S., additional, Murabito, J. M., additional, Lunetta, K. L., additional, Sotoodehnia, N., additional, Atzmon, G., additional, Ye, K., additional, Barzilai, N., additional, Brody, J. A., additional, Psaty, B. M., additional, Taylor, K. D., additional, Rotter, J. I., additional, Boerwinkle, E., additional, Pankratz, N., additional, and Arking, D. E., additional
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- 2021
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5. Homocysteine and the methylenetetrahydrofolate reductase 677C→T polymorphism in relation to muscle mass and strength, physical performance and postural sway
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Swart, K M A, Enneman, A W, van Wijngaarden, J P, van Dijk, S C, Brouwer-Brolsma, E M, Ham, A C, Dhonukshe-Rutten, R A M, van der Velde, N, Brug, J, van Meurs, J B J, de Groot, L C P G M, Uitterlinden, A G, Lips, P, and van Schoor, N M
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- 2013
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6. Prediction model for knee osteoarthritis incidence, including clinical, genetic and biochemical risk factors
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Kerkhof, H J M, Bierma-Zeinstra, S M A, Arden, N K, Metrustry, S, Castano-Betancourt, M, Hart, D J, Hofman, A, Rivadeneira, F, Oei, E H G, Spector, Tim D, Uitterlinden, A G, Janssens, A C J W, Valdes, A M, and van Meurs, J B J
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- 2014
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7. Variations in estrogen receptor α gene and risk of dementia, and brain volumes on MRI
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den Heijer, T, Schuit, S C E, Pols, H A P, van Meurs, J B J, Hofman, A, Koudstaal, P J, van Duijn, C M, Uitterlinden, A G, and Breteler, M M B
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- 2004
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8. Estrogen Receptor α Gene Polymorphisms and Bone Mineral Density in Healthy Children and Young Adults
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Boot, A. M., van der Sluis, I. M., Keizer-Schrama, S. M. P. F. de Muinck, van Meurs, J. B. J., Krenning, E. P., Pols, H. A. P., and Uitterlinden, A. G.
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- 2004
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9. Development of radiological knee osteoarthritis in patients with knee complaints
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de Klerk, B M, Willemsen, S, Schiphof, D, van Meurs, J B J, Koes, B W, Hofman, A, and Bierma-Zeinstra, S M A
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- 2012
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10. Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study
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Panoutsopoulou, K, Southam, L, Elliott, K S, Wrayner, N, Zhai, G, Beazley, C, Thorleifsson, G, Arden, N K, Carr, A, Chapman, K, Deloukas, P, Doherty, M, McCaskie, A, Ollier, W E R, Ralston, S H, Spector, T D, Valdes, A M, Wallis, G A, Wilkinson, J M, Arden, E, Battley, K, Blackburn, H, Blanco, F J, Bumpstead, S, Cupples, L A, Day-Williams, A G, Dixon, K, Doherty, S A, Esko, T, Evangelou, E, Felson, D, Gomez-Reino, J J, Gonzalez, A, Gordon, A, Gwilliam, R, Halldorsson, B V, Hauksson, V B, Hofman, A, Hunt, S E, Ioannidis, J P A, Ingvarsson, T, Jonsdottir, I, Jonsson, H, Keen, R, Kerkhof, H J M, Kloppenburg, M G, Koller, N, Lakenberg, N, Lane, N E, Lee, A T, Metspalu, A, Meulenbelt, I, Nevitt, M C, OʼNeill, F, Parimi, N, Potter, S C, Rego-Perez, I, Riancho, J A, Sherburn, K, Slagboom, P E, Stefansson, K, Styrkarsdottir, U, Sumillera, M, Swift, D, Thorsteinsdottir, U, Tsezou, A, Uitterlinden, A G, van Meurs, J B J, Watkins, B, Wheeler, M, Mitchell, S, Zhu, Y, Zmuda, J M, Zeggini, E, and Loughlin, J
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- 2011
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11. Beukes hip dysplasia segregates with a mutation identified in the UFM1-specific peptidase 2 gene, UFSP2: P018
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Watson, C. M., Beighton, P., Ramesar, R., van Meurs, J. B. J., Donn, R., and Wallis, G.
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- 2010
12. Genetic variation in the GDF5 region is associated with osteoarthritis, height, hip axis length and fracture risk: the Rotterdam study
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Vaes, R B A, Rivadeneira, F, Kerkhof, J M, Hofman, A, Pols, H A P, Uitterlinden, A G, and van Meurs, J B J
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- 2009
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13. A genome-wide association study suggests that a locus within the ataxin 2 binding protein 1 gene is associated with hand osteoarthritis: the Treat-OA consortium
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Zhai, G, van Meurs, J B J, Livshits, G, Meulenbelt, I, Valdes, A M, Soranzo, N, Hart, D, Zhang, F, Kato, B S, Richards, J B, Williams, F M K, Inouye, M, Kloppenburg, M, Deloukas, P, Slagboom, E, Uitterlinden, A, and Spector, T D
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- 2009
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14. Identification of a mutation in the UFM1-specific peptidase 2 gene, UFSP2, that segregates with the Beukes Hip Dysplasia phenotype
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Watson, C. M., Wallis, G., Beighton, P., Ramesar, R., van Meurs, J. B. J., Donn, R., and Wallis, G
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- 2009
15. Limited evidence for a protective effect of unopposed oestrogen therapy for osteoarthritis of the hip: a systematic review
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de Klerk, B. M., Schiphof, D., Groeneveld, F. P. M. J., Koes, B. W., van Osch, G. J. V. M., van Meurs, J. B. J., and Bierma-Zeinstra, S. M. A.
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- 2009
16. Quantification of mRNA levels in joint capsule and articular cartilage of the murine knee joint by RT-PCR: Kinetics of stromelysin and IL-1 mRNA levels during arthritis
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Van Meurs, J. B. J., Van Lent, P. L. E. M., Joosten, L. A. B., Van der Kraan, P. M., and Van den Berg, W. B.
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- 1997
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17. Polymorphisms in the T cell regulatory gene cytotoxic T lymphocyte antigen 4 influence the rate of acute rejection after liver transplantation
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Tapirdamaz, Ö, Pravica, V, Metselaar, H J, Hansen, B, Moons, L, van Meurs, J B J, Hutchinson, I V, Shaw, J, Agarwal, K, Adams, D H, Day, C P, and Kwekkeboom, J
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- 2006
18. Insulin-like growth factor I gene promoter polymorphism, collagen type II α1 (COL2A1) gene, and the prevalence of radiographic osteoarthritis: the Rotterdam Study
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Zhai, G, Rivadeneira, F, Houwing-Duistermaat, J J, Meulenbelt, I, Bijkerk, C, Hofman, A, van Meurs, J B J, Uitterlinden, A G, Pols, H A P, Slagboom, P E, and van Duijn, C M
- Published
- 2004
19. Increased vulnerability of postarthritic cartilage to a second arthritic insult: accelerated MMP activity in a flare up of arthritis
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van Meurs, J B J, van Lent, P L E M, van de Loo, A A J, Holthuysen, A E M, Bayne, E K, Singer, I I, and van den Berg, W B
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- 1999
20. Alta prevalenza di fratture vertebrali in presenza di una normale densità minerale ossea nei pazienti con acromegalia controllata
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Wassenaar, M. J. E., Biermasz, N. R., Hamdy, N. A. T., Zillikens, M. C., van Meurs, J. B. J., Rivadeneira, F., Hofman, A., Uitterlinden, A. G., Stokkel, M. P. M., Roelfsema, F., Kloppenburg, M., Kroon, H. M., Romijn, J. A., Pereira, A. M., and Cozzi, Renato
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- 2011
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21. A DNA methylation biomarker of alcohol consumption
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Liu, C, Marioni, R E, Hedman, Åsa K, Pfeiffer, L, Tsai, P-C, Reynolds, L M, Just, A C, Duan, Q, Boer, C G, Tanaka, T, Elks, C E, Aslibekyan, S, Brody, J A, Kühnel, B, Herder, C, Almli, L M, Zhi, D, Wang, Y, Huan, T, Yao, C, Mendelson, M M, Joehanes, R, Liang, L, Love, S-A, Guan, W, Shah, S, McRae, A F, Kretschmer, A, Prokisch, H, Strauch, K, Peters, A, Visscher, P M, Wray, N R, Guo, X, Wiggins, K L, Smith, A K, Binder, E B, Ressler, K J, Irvin, M R, Absher, D M, Hernandez, D, Ferrucci, L, Bandinelli, S, Lohman, K, Ding, J, Trevisi, L, Gustafsson, Stefan, Sandling, Johanna K., Stolk, L, Uitterlinden, A G, Yet, I, Castillo-Fernandez, J E, Spector, T D, Schwartz, J D, Vokonas, P, Lind, Lars, Li, Y, Fornage, M, Arnett, D K, Wareham, N J, Sotoodehnia, N, Ong, K K, van Meurs, J B J, Conneely, K N, Baccarelli, A A, Deary, I J, Bell, J T, North, K E, Liu, Y, Waldenberger, M, London, S J, Ingelsson, Erik, Levy, D, Wareham, Nicholas [0000-0003-1422-2993], Ong, Kenneth [0000-0003-4689-7530], Apollo - University of Cambridge Repository, Erasmus MC other, Internal Medicine, and Epidemiology
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Adult ,Male ,Alcohol Drinking ,Ethanol ,Black People ,DNA Methylation ,Middle Aged ,White People ,Epigenesis, Genetic ,Annan medicinsk grundvetenskap ,Genetics ,Humans ,CpG Islands ,Female ,Other Basic Medicine ,Alcohol-Related Disorders ,Biomarkers ,Aged ,Genome-Wide Association Study - Abstract
The lack of reliable measures of alcohol intake is a major obstacle to the diagnosis and treatment of alcohol-related diseases. Epigenetic modifications such as DNA methylation may provide novel biomarkers of alcohol use. To examine this possibility, we performed an epigenome-wide association study of methylation of cytosine-phosphate-guanine dinucleotide (CpG) sites in relation to alcohol intake in 13 population-based cohorts (ntotal=13 317; 54% women; mean age across cohorts 42-76 years) using whole blood (9643 European and 2423 African ancestries) or monocyte-derived DNA (588 European, 263 African and 400 Hispanic ancestry) samples. We performed meta-analysis and variable selection in whole-blood samples of people of European ancestry (n=6926) and identified 144 CpGs that provided substantial discrimination (area under the curve=0.90-0.99) for current heavy alcohol intake (⩾42 g per day in men and ⩾28 g per day in women) in four replication cohorts. The ancestry-stratified meta-analysis in whole blood identified 328 (9643 European ancestry samples) and 165 (2423 African ancestry samples) alcohol-related CpGs at Bonferroni-adjusted PDe tio första författarna delar på förstaförfattarskapet. De sex sista författarna delar på sistaförfattarskapet.
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- 2018
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22. Estrogen receptor α gene polymorphisms and anxiety disorder in an elderly population
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Tiemeier, H, Schuit, S C E, den Heijer, T, van Meurs, J B J, van Tuijl, H R, Hofman, A, Breteler, M M B, Pols, H A P, and Uitterlinden, A G
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- 2005
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23. High bone mineral density and fracture risk in type 2 diabetes as skeletal complications of inadequate glucose control: the Rotterdam Study
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Oei, L., Zillikens, M. C., Dehghan, A., Buitendijk, G. H. S., Castano-Betancourt, M. C., Estrada, K., Stolk, L., Oei, E. H. G., van Meurs, J. B. J., Janssen, J. A. M. J. L., Hofman, A., van Leeuwen, J. P. T. M., Witteman, J. C. M., Pols, H. A. P., Uitterlinden, A. G., Klaver, C. C. W., Franco, O. H., and Rivadeneira, F.
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- 2013
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24. Gene transcripts associated with muscle strength: a CHARGE meta-analysis of 7,781 persons
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Pilling, L. C., Joehanes, R., Kacprowski, T., Peters, M., Jansen, R., Karasik, D., Kiel, D. P., Harries, L. W., Teumer, A., Powell, J., Levy, D., Lin, H., Lunetta, K., Munson, P., Bandinelli, S., Henley, W., Hernandez, D., Singleton, A., Tanaka, T., van Grootheest, G., Hofman, A., Uitterlinden, A. G., Biffar, R., Gläser, S., Homuth, G., Malsch, C., Völker, U., Penninx, B., van Meurs, J. B. J., Ferrucci, L., Kocher, T., Murabito, J., Melzer, D., Internal Medicine, Epidemiology, Psychiatry, and EMGO - Mental health
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Adult ,Aged, 80 and over ,Male ,Aging ,Sex Characteristics ,Omics Technologies and Applications ,muscle ,Age Factors ,Reproducibility of Results ,Heart ,Middle Aged ,gene-expression ,Cohort Studies ,Young Adult ,Gene Ontology ,blood ,Humans ,Female ,Knee ,human ,Muscle Strength ,RNA, Messenger ,strength ,leukocyte ,Aged - Abstract
Lower muscle strength in midlife predicts disability and mortality in later life. Blood-borne factors, including growth differentiation factor 11 (GDF11), have been linked to muscle regeneration in animal models. We aimed to identify gene transcripts associated with muscle strength in adults. Meta-analysis of whole blood gene expression (overall 17,534 unique genes measured by microarray) and hand-grip strength in four independent cohorts (n = 7,781, ages: 20–104 yr, weighted mean = 56), adjusted for age, sex, height, weight, and leukocyte subtypes. Separate analyses were performed in subsets (older/younger than 60, men/women). Expression levels of 221 genes were associated with strength after adjustment for cofactors and for multiple statistical testing, including ALAS2 (rate-limiting enzyme in heme synthesis), PRF1 (perforin, a cytotoxic protein associated with inflammation), IGF1R, and IGF2BP2 (both insulin like growth factor related). We identified statistical enrichment for hemoglobin biosynthesis, innate immune activation, and the stress response. Ten genes were associated only in younger individuals, four in men only and one in women only. For example, PIK3R2 (a negative regulator of PI3K/AKT growth pathway) was negatively associated with muscle strength in younger (
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- 2016
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25. A DNA methylation biomarker of alcohol consumption
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Liu, C, Marioni, R E, Hedman, Å K, Pfeiffer, L, Tsai, P-C, Reynolds, L M, Just, A C, Duan, Q, Boer, C G, Tanaka, T, Elks, C E, Aslibekyan, S, Brody, J A, Kühnel, B, Herder, C, Almli, L M, Zhi, D, Wang, Y, Huan, T, Yao, C, Mendelson, M M, Joehanes, R, Liang, L, Love, S-A, Guan, W, Shah, S, McRae, A F, Kretschmer, A, Prokisch, H, Strauch, K, Peters, A, Visscher, P M, Wray, N R, Guo, X, Wiggins, K L, Smith, A K, Binder, E B, Ressler, K J, Irvin, M R, Absher, D M, Hernandez, D, Ferrucci, L, Bandinelli, S, Lohman, K, Ding, J, Trevisi, L, Gustafsson, S, Sandling, J H, Stolk, L, Uitterlinden, A G, Yet, I, Castillo-Fernandez, J E, Spector, T D, Schwartz, J D, Vokonas, P, Lind, L, Li, Y, Fornage, M, Arnett, D K, Wareham, N J, Sotoodehnia, N, Ong, K K, van Meurs, J B J, Conneely, K N, Baccarelli, A A, Deary, I J, Bell, J T, North, K E, Liu, Y, Waldenberger, M, London, S J, Ingelsson, E, and Levy, D
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ddc - Published
- 2016
26. A DNA methylation biomarker of alcohol consumption
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Liu, C, primary, Marioni, R E, additional, Hedman, Å K, additional, Pfeiffer, L, additional, Tsai, P-C, additional, Reynolds, L M, additional, Just, A C, additional, Duan, Q, additional, Boer, C G, additional, Tanaka, T, additional, Elks, C E, additional, Aslibekyan, S, additional, Brody, J A, additional, Kühnel, B, additional, Herder, C, additional, Almli, L M, additional, Zhi, D, additional, Wang, Y, additional, Huan, T, additional, Yao, C, additional, Mendelson, M M, additional, Joehanes, R, additional, Liang, L, additional, Love, S-A, additional, Guan, W, additional, Shah, S, additional, McRae, A F, additional, Kretschmer, A, additional, Prokisch, H, additional, Strauch, K, additional, Peters, A, additional, Visscher, P M, additional, Wray, N R, additional, Guo, X, additional, Wiggins, K L, additional, Smith, A K, additional, Binder, E B, additional, Ressler, K J, additional, Irvin, M R, additional, Absher, D M, additional, Hernandez, D, additional, Ferrucci, L, additional, Bandinelli, S, additional, Lohman, K, additional, Ding, J, additional, Trevisi, L, additional, Gustafsson, S, additional, Sandling, J H, additional, Stolk, L, additional, Uitterlinden, A G, additional, Yet, I, additional, Castillo-Fernandez, J E, additional, Spector, T D, additional, Schwartz, J D, additional, Vokonas, P, additional, Lind, L, additional, Li, Y, additional, Fornage, M, additional, Arnett, D K, additional, Wareham, N J, additional, Sotoodehnia, N, additional, Ong, K K, additional, van Meurs, J B J, additional, Conneely, K N, additional, Baccarelli, A A, additional, Deary, I J, additional, Bell, J T, additional, North, K E, additional, Liu, Y, additional, Waldenberger, M, additional, London, S J, additional, Ingelsson, E, additional, and Levy, D, additional
- Published
- 2016
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27. Recommendations for standardization and phenotype definitions in genetic studies of osteoarthritis: the TREAT-OA consortium
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Gordon, A, Harilainen, A, Hart, D J, Hauksson, V B, Heliovaara, M, Hofman, A, Ikegawa, S, Ingvarsson, T, Jiang, Q, Kerkhof HJ, Meulenbelt, I, Akune, T, Arden, N K, Aromaa, A, Bierma-Zeinstra, S M A, Carr, A, Cooper, C, Dai, J, Doherty, M, Doherty, S A, Felson, D, González Martínez-Pedrayo, Antonio, Jonsson, H, Jonsdottir, I, Kawaguchi, H, Kloppenburg, M, Kujala, U M, Lane, N E, Leino-Arjas, P, Lohmander, L S, Luyten, F P, Malizos, K N, Nakajima, M, Nevitt, M C, Pols, H A P, Rivadeneira, F, Shi, D, Slagboom, E, Spector, T D, Stefansson, K, Sudo, A, Tamm, A, Tamm, A E, Tsezou, A, Uchida, A, Uitterlinden, A G, Wilkinson, J M, Yoshimura, N, Valdes, A M, and van Meurs, J B J
- Abstract
OBJECTIVE: To address the need for standardization of osteoarthritis (OA) phenotypes by examining the effect of heterogeneity among symptomatic (SOA) and radiographic osteoarthritis (ROA) phenotypes. METHODS: Descriptions of OA phenotypes of the 28 studies involved in the TREAT-OA consortium were collected. We investigated whether different OA definitions result in different association results by creating various hip OA definitions in one large population based cohort (the Rotterdam Study I (RSI)) and testing those for association with gender, age and body mass index using one-way ANOVA. For ROA, we standardized the hip-, knee- and hand ROA definitions and calculated prevalence's of ROA before and after standardization in nine cohort studies. This procedure could only be performed in cohort studies and standardization of SOA definitions was not feasible at this moment. RESULTS: In this consortium, all studies with SOA phenotypes (knee, hip and hand) used a different definition and/or assessment of OA status. For knee-, hip- and hand ROA five, four and seven different definitions were used, respectively. Different hip ROA definitions do lead to different association results. For example, we showed in the RSI that hip OA defined as "at least definite joint space narrowing (JSN) and one definite osteophyte" was not associated with gender (P =0.22), but defined as "at least one definite osteophyte" was significantly associated with gender (P=3x10(-9)). Therefore, a standardization process was undertaken for ROA definitions. Before standardization a wide range of ROA prevalence's was observed in the nine cohorts studied. After standardization the range in prevalence of knee- and hip ROA was small. CONCLUSION: Phenotype definitions influence the prevalence of OA and association with clinical variables. ROA phenotypes within the TREAT-OA consortium were standardized to reduce heterogeneity and improve power in future genetics studies.
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- 2011
28. Associations of polymorphisms of eight muscle- or metabolism-related genes with performance in Mount Olympus marathon runners
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Tsianos, G. I., Evangelou, E., Boot, A., Zillikens, M. C., van Meurs, J. B. J., Uitterlinden, A. G., and Ioannidis, J. P. A.
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Adult ,Male ,heritage family ,Genotype ,apolipoprotein-e genotype ,endurance performance ,Physical Endurance/*genetics ,Cohort Studies ,Young Adult ,Gene Frequency ,life-style intervention ,Task Performance and Analysis ,Odds Ratio ,Humans ,genetics ,Genetic Association Studies ,Receptor, Bradykinin B2/genetics ,endurance ,beta(2)-adrenergic receptor ,Muscle Proteins/*genetics/metabolism ,human physical performance ,b-2 receptor gene ,Muscle, Skeletal/*metabolism ,Bayes Theorem ,Middle Aged ,Polymorphism, Single Nucleotide ,Phenotype ,Running ,hardy-weinberg equilibrium ,genome-wide association ,Linear Models ,Female ,Energy Metabolism/*genetics ,Receptors, Adrenergic, beta-2/genetics ,ampd1 gene - Abstract
Tsianos GI, Evangelou E, Boot A, Zillikens MC, van Meurs JB, Uitterlinden AG, Ioannidis JP. Associations of polymorphisms of eight muscle-or metabolism-related genes with performance in Mount Olympus marathon runners. J Appl Physiol 108: 567-574, 2010. First published December 31, 2009; doi:10.1152/japplphysiol.00780.2009.-Athletic endurance performance is probably partly under genetic control, but genetic association studies have yielded inconclusive results. The objective of the present study was to evaluate the association of polymorphisms in eight muscle-or metabolism-related genes with endurance performance in participants of the Olympus Marathon running race. We recruited 438 athletes who participated in the 2007 and 2008 annual running events of the Olympus Marathon: a 43.8-km race with an ascent from sea level to 2,690-m altitude and then a descent to 300 m. Phenotypes of interest were the competitive event time at the specific Olympus Marathon where the athlete was enrolled, the fastest reported timing ever achieved in an Olympus Marathon, and how many kilometers per week the athlete ran during the previous year. Eleven polymorphisms in alpha(3)-actinin (ACTN3), AMP deaminase-1 (AMPD1), bradykinin B(2) receptor (BDKRB2), beta(2)-adrenergic receptor (ADRB2), peroxisome proliferator-activated receptor (PPAR)-gamma coactivator-1 alpha (PPARGC1A), PPAR-gamma (PPARA), PPAR-gamma (PPARD), and apoliprotein E (APOE) were evaluated. Hardy-Weinberg equilibrium testing on the overall cohort of male athletes showed a significant deviation for BDKRB2 rs1799722 (P = 0.018; P = 0.006 when limited to 316 habitual male runners) with an excess of the TT genotype. Across all athletes, no associations showed nominal statistical significance for any of the three phenotypes, and the same was true when analyses were limited to men (n = 417). When limited to 316 male athletes who identified running as their preferred sport, ADRB2 rs1042713 had nominally significant associations with faster times for the minor (A) allele for the fastest time ever (P = 0.01). The direction of effect was identical as previously postulated only for BDKRB2 rs1799722 and ADRB2 rs1042713, indicating consistency. BDKRB2 rs1799722 and ADRB2 rs1042713 have some support for being implicated in endurance performance among habitual runners and require further investigation. Journal of Applied Physiology
- Published
- 2010
29. Recommendations for standardization and phenotype definitions in genetic studies of osteoarthritis: the TREAT-OA consortium
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Kerkhof, H. J. M., Meulenbelt, I., Akune, T., Arden, N. K., Aromaa, A., Bierma-Zeinstra, S. M. A., Carr, A., Cooper, C., Dai, J., Doherty, M., Doherty, S. A., Felson, D., Gonzalez, A., Gordon, A., Harilainen, A., Hart, D. J., Hauksson, V. B., Heliovaara, M., Hofman, A., Ikegawa, S., Ingvarsson, T., Jiang, Q., Jonsson, H, Jonsdottir, I., Kawaguchi, H., Kloppenburg, M., Kujala, U. M., Lane, N. E., Leino-Arjas, P., Lohmander, Stefan, Luyten, F. P., Malizos, K. N., Nakajima, M., Nevitt, M. C., Pols, H. A. P., Rivadeneira, F., Shi, D., Slagboom, E., Spector, T. D., Stefansson, K., Sudo, A., Tamm, A., Tamm, A. E., Tsezou, A., Uchida, A., Uitterlinden, A. G., Wilkinson, J. M., Yoshimura, N., Valdes, A. M., van Meurs, J. B. J., Kerkhof, H. J. M., Meulenbelt, I., Akune, T., Arden, N. K., Aromaa, A., Bierma-Zeinstra, S. M. A., Carr, A., Cooper, C., Dai, J., Doherty, M., Doherty, S. A., Felson, D., Gonzalez, A., Gordon, A., Harilainen, A., Hart, D. J., Hauksson, V. B., Heliovaara, M., Hofman, A., Ikegawa, S., Ingvarsson, T., Jiang, Q., Jonsson, H, Jonsdottir, I., Kawaguchi, H., Kloppenburg, M., Kujala, U. M., Lane, N. E., Leino-Arjas, P., Lohmander, Stefan, Luyten, F. P., Malizos, K. N., Nakajima, M., Nevitt, M. C., Pols, H. A. P., Rivadeneira, F., Shi, D., Slagboom, E., Spector, T. D., Stefansson, K., Sudo, A., Tamm, A., Tamm, A. E., Tsezou, A., Uchida, A., Uitterlinden, A. G., Wilkinson, J. M., Yoshimura, N., Valdes, A. M., and van Meurs, J. B. J.
- Abstract
Objective: To address the need for standardization of osteoarthritis (OA) phenotypes by examining the effect of heterogeneity among symptomatic (SOA) and radiographic osteoarthritis (ROA) phenotypes. Methods: Descriptions of OA phenotypes of the 28 studies involved in the TREAT-OA consortium were collected. We investigated whether different OA definitions result in different association results by creating various hip OA definitions in one large population based cohort (the Rotterdam Study I (RSI)) and testing those for association with gender, age and body mass index using one-way ANOVA. For ROA, we standardized the hip-, knee- and hand ROA definitions and calculated prevalence's of ROA before and after standardization in nine cohort studies. This procedure could only be performed in cohort studies and standardization of SOA definitions was not feasible at this moment. Results: In this consortium, all studies with SOA phenotypes (knee, hip and hand) used a different definition and/or assessment of OA status. For knee-, hip- and hand ROA five, four and seven different definitions were used, respectively. Different hip ROA definitions do lead to different association results. For example, we showed in the RSI that hip OA defined as "at least definite joint space narrowing (JSN) and one definite osteophyte" was not associated with gender (P=0.22), but defined as "at least one definite osteophyte" was significantly associated with gender (P=3 x 10(-9)). Therefore, a standardization process was undertaken for ROA definitions. Before standardization a wide range of ROA prevalence's was observed in the nine cohorts studied. After standardization the range in prevalence of knee- and hip ROA was small. Conclusion: Phenotype definitions influence the prevalence of OA and association with clinical variables. ROA phenotypes within the TREAT-OA consortium were standardized to reduce heterogeneity and improve power in future genetics studies. (C) 2010 Osteoarthritis Research Soc
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- 2011
30. Gender Specific Effects of TRPV4 on Osteoblast-Osteoclast Coupling and Risk of Osteoporotic Fractures
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van der Eerden, B. C. J., Koedam, M., Rivadeneira, F., van Meurs, J. B. J., Hoenderop, J. G. J., Weinans, H., Suzuki, M., Bindels, R. J. M., Uitterlinden, A. G., van Leeuwen, J. P. T. M., van der Eerden, B. C. J., Koedam, M., Rivadeneira, F., van Meurs, J. B. J., Hoenderop, J. G. J., Weinans, H., Suzuki, M., Bindels, R. J. M., Uitterlinden, A. G., and van Leeuwen, J. P. T. M.
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- 2008
31. Dissecting the relationship between high-sensitivity serum C-reactive protein and increased fracture risk: the Rotterdam Study
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Oei, L., primary, Campos-Obando, N., additional, Dehghan, A., additional, Oei, E. H. G., additional, Stolk, L., additional, van Meurs, J. B. J., additional, Hofman, A., additional, Uitterlinden, A. G., additional, Franco, O. H., additional, Zillikens, M. C., additional, and Rivadeneira, F., additional
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- 2013
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32. Prediction model for knee osteoarthritis incidence, including clinical, genetic and biochemical risk factors
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Kerkhof, H J M, primary, Bierma-Zeinstra, S M A, additional, Arden, N K, additional, Metrustry, S, additional, Castano-Betancourt, M, additional, Hart, D J, additional, Hofman, A, additional, Rivadeneira, F, additional, Oei, E H G, additional, Spector, Tim D, additional, Uitterlinden, A G, additional, Janssens, A C J W, additional, Valdes, A M, additional, and van Meurs, J B J, additional
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- 2013
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33. Association of Aromatase (cyp19) Gene Polymorphisms with Estradiol and Estrone Levels in Postmenopausal Women
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Schuit, S. C. E., Uitterlinden, A. G., Kock, N. W. N., Stolk, L., Van Meurs, J. B. J., Schoofs, M. W. C. J., Zillikens, C. M. C., Hofman, A., Van Leeuwen, J. P. T. M., Pols, H. A. P., De Jong, F. H., Schuit, S. C. E., Uitterlinden, A. G., Kock, N. W. N., Stolk, L., Van Meurs, J. B. J., Schoofs, M. W. C. J., Zillikens, C. M. C., Hofman, A., Van Leeuwen, J. P. T. M., Pols, H. A. P., and De Jong, F. H.
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- 2004
34. Ethnic Variation in Haplotype Structure of the Complete VDR Gene and Association with Fracture Risk
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Fang, Y., Van Meurs, J. B. J., Zhao, H., Van Leeuwen, J. P. T., Pols, H. A. P., Uitterlinden, A. G., Fang, Y., Van Meurs, J. B. J., Zhao, H., Van Leeuwen, J. P. T., Pols, H. A. P., and Uitterlinden, A. G.
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- 2004
35. Development of radiological knee osteoarthritis in patients with knee complaints
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de Klerk, B M, primary, Willemsen, S, additional, Schiphof, D, additional, van Meurs, J B J, additional, Koes, B W, additional, Hofman, A, additional, and Bierma-Zeinstra, S M A, additional
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- 2011
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36. High prevalence of vertebral fractures despite normal bone mineral density in patients with long-term controlled acromegaly
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Wassenaar, M J E, primary, Biermasz, N R, additional, Hamdy, N A T, additional, Zillikens, M C, additional, van Meurs, J B J, additional, Rivadeneira, F, additional, Hofman, A, additional, Uitterlinden, A G, additional, Stokkel, M P M, additional, Roelfsema, F, additional, Kloppenburg, M, additional, Kroon, H M, additional, Romijn, J A, additional, and Pereira, A M, additional
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- 2011
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37. Genetic variation in the GDF5 region is associated with osteoarthritis, height, hip axis length and fracture risk: the Rotterdam study
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Vaes, R B A, primary, Rivadeneira, F, additional, Kerkhof, J M, additional, Hofman, A, additional, Pols, H A P, additional, Uitterlinden, A G, additional, and van Meurs, J B J, additional
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- 2008
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38. Limited evidence for a protective effect of unopposed oestrogen therapy for osteoarthritis of the hip: a systematic review
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de Klerk, B. M., primary, Schiphof, D., additional, Groeneveld, F. P. M. J., additional, Koes, B. W., additional, van Osch, G. J. V. M., additional, van Meurs, J. B. J., additional, and Bierma-Zeinstra, S. M. A., additional
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- 2008
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39. Polymorphisms in the I cell regulatory gene cytotoxic T lymphocyte antigen 4 influence the rate of acute rejection after liver transplantation.
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Tapirdamaz, Ö., Pravica, V., Metselaar, H. J., Hansen, B., Moons, L., van Meurs, J. B. J., Hutchinson, I. V., Shaw, J., Agarwal, K., Adams, D. H., Day, C. P., and Kwekkeboom, J.
- Subjects
GENETIC polymorphisms ,T cells ,LIVER transplantation ,GRAFT rejection ,GENE expression ,IMMUNOREGULATION - Abstract
Background: The cytotoxic T lymphocyte antigen 4 (CTLA-4) gene encodes for a membrane bound (mCTLA-4) and a soluble (sCTLA-4) isoform, which are both involved in regulation of T cell function. The CTLA-4 +49A/G single nucleotide polymorphism (SNP) influences expression of mCTLA-4; +6230G/A SNP affects the production of sCTLA-4. Aim: To examine whether these functional SNPs influence the rate of rejection after liver transplantation. Patients and methods: Liver graft recipients (n=483) were genotyped for both SNPs, and haplotypes were reconstructed. Association with rejection was tested by the log rank test using the Kaplan-Meier method with time to the first acute rejection episode as outcome. Multiple analysis of SNPs together with demographic factors was performed by Cox regression. Results: Three haplotypes were observed in the cohort: +49A/+6230A, +49A/+6230G, and +49G/+6230G. The +49A/+6230G haplotype was significantly and dose dependently associated with acute rejection (p=0.01). Of the demographic factors tested, only underlying liver disease was significantly associated with rejection. Adjusted for underlying liver disease, each additional +49A/+6230G haplotype allele resulted in a significantly higher risk of acute rejection (risk ratio 1.34 (95% confidence interval 1.04-1.72); p = 0.02). Patients who lacked this haplotype had the lowest, carriers an intermediate, and homozygotes the highest risk of acute rejection. Conclusion: The CTLA-4 +49A/+6230G haplotype, which encodes for normal mCTLA-4 expression but reduced sCTLA-4 production, is a co-dominant risk allele for acute rejection after clinical liver transplantation. This implies that even under immunosuppression, CTLA-4 is critically involved in the regulation of the human immune response to allogeneic grafts. [ABSTRACT FROM AUTHOR]
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- 2006
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40. Variations in estrogen receptoragene and risk of dementia, and brain volumes on MRI.
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den Heijer, T., Schuit, S. C. E., Pols, H. A. P., van Meurs, J. B. J., Hofman, A., Koudstaal, P. J., van Duijn, C. M., Uitterlinden, A. G., and Breteler, M. M. B.
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ESTROGEN ,SEX hormones ,ALZHEIMER'S disease ,SENILE dementia ,GENETIC polymorphisms ,BIOLOGICAL psychiatry - Abstract
The role of estrogens in Alzheimer's disease (AD) is controversial. We investigated the association between well-recognized, and potentially functional, polymorphisms in the estrogen receptor (ER)agene and the risk of AD in a prospective study of 6056 Caucasian older men and women aged 55 years and over. In a subset of 468 participants, we assessed volumes of the hippocampus and amygdala, which have a high density of ERa, with brain magnetic resonance imaging (MRI) (1.5?T MR unit). During a total of 35?405 person-years of follow-up (mean per persons 5.8 years), 312 new cases of dementia were detected, of whom 230 were diagnosed with AD. Neither the PvuII nor the XbaI polymorphism or haplotypes thereof were associated with the risk of all-cause dementia or AD. In contrast, we found that nondemented women who carried the PvuII p allele or haplotype‘px’had smaller amygdalar volumes on MRI in an allele-dose-dependent fashion. Total amygdalar volume was 4.50 (SE 0.10) in PP genotype, 4.45 (SE 0.06) in Pp genotype, and 4.18?ml (SE 0.08) in pp genotype (P trend=0.008). Further studies are required to investigate whether this smaller amygdalar volume has functional significance.Molecular Psychiatry (2004) 9, 1129-1135. doi:10.1038/sj.mp.4001553 Published online 20 July 2004 [ABSTRACT FROM AUTHOR]
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- 2004
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41. Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study
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Panoutsopoulou, K, Southam, L, Wrayner, N, Zhai, G, Beazley, C, Thorleifsson, G, Arden, N K, Chapman, K, Deloukas, P, McCaskie, A, Ollier, W E R, Ralston, S H, Spector, T D, Valdes, A M, Wallis, G A, Arden, E, Battley, K, Blackburn, H, Blanco, F J, Bumpstead, S, Cupples, L A, Day-Williams, A G, Dixon, K, Doherty, S A, Esko, T, Evangelou, E, Felson, D, Gomez-Reino, J J, Gwilliam, R, Halldorsson, B V, Hauksson, V B, Ingvarsson, T, Jonsdottir, I, Jonsson, H, Keen, R, Kerkhof, H J M, Kloppenburg, M G, Koller, N, Lakenberg, N, Lane, N E, Metspalu, A, Meulenbelt, I, Nevitt, M C, Parimi, N, Potter, S C, Rego-Perez, I, Riancho, J A, Sherburn, K, Slagboom, P E, Stefansson, K, Styrkarsdottir, U, Sumillera, M, Swift, D, Thorsteinsdottir, U, Tsezou, A, Uitterlinden, A G, van Meurs, J B J, Watkins, B, Zmuda, J M, Zeggini, E, Loughlin, J, Ioannidis, John, Elliot, K S, Carr, A, Doherty, M, Wilkinson, J M, Gonzalez, A, Gordon, A, Hofman, A, Hunt, S E, Lee, A T, Wheeler, M, Mitchell, S, Zhu, Y, and O'Neill, F
- Abstract
Objectives: The genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN Consortium, a UK-wide collaborative effort aiming to scan genome-wide over 7500 osteoarthritis cases in a two-stage genome-wide association scan. Here the authors report the findings of the stage 1 interim analysis. Methods: The authors have performed a genome-wide association scan for knee and hip osteoarthritis in 3177 cases and 4894 population-based controls from the UK. Replication of promising signals was carried out in silico in five further scans (44 449 individuals), and de novo in 14 534 independent samples, all of European descent. Results: None of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size. Application of analytical approaches to examine the allelic architecture of disease to the stage 1 genome-wide association scan data suggests that osteoarthritis is a highly polygenic disease with multiple risk variants conferring small effects. Conclusions: Identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.
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- 2010
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42. Reply to "Human genetic studies on osteoarthritis from clinicians' viewpoints".
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Kerkhof HJ, Evangelou E, Meulenbelt I, van Meurs JB, Zeggini E, Valdes AM, Kerkhof, H J M, Evangelou, E, Meulenbelt, I, van Meurs, J B J, Zeggini, E, and Valdes, A M
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- 2012
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43. The power of genetic diversity in genome-wide association studies of lipids
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Graham, Sarah E, Clarke, Shoa L, Wu, Kuan-Han H, Kanoni, Stavroula, Zajac, Greg JM, Ramdas, Shweta, Surakka, Ida, Ntalla, Ioanna, Vedantam, Sailaja, Winkler, Thomas W, Locke, Adam E, Marouli, Eirini, Hwang, Mi Yeong, Han, Sohee, Narita, Akira, Choudhury, Ananyo, Bentley, Amy R, Ekoru, Kenneth, Verma, Anurag, Trivedi, Bhavi, Martin, Hilary C, Hunt, Karen A, Hui, Qin, Klarin, Derek, Zhu, Xiang, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F, Holm, Hilma, Olafsson, Isleifur, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M, Rasheed, Humaira, Ruotsalainen, Sanni E, Havulinna, Aki S, Veturi, Yogasudha, Feng, QiPing, Rosenthal, Elisabeth A, Lingren, Todd, Pacheco, Jennifer Allen, Pendergrass, Sarah A, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E, Campbell, Archie, Lin, Kuang, Millwood, Iona Y, Hindy, George, Rasheed, Asif, Faul, Jessica D, Zhao, Wei, Weir, David R, Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Mahajan, Anubha, Brown, Michael R, Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M, Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian’an, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achilleas, Hottenga, Jouke Jan, Willemsen, Gonneke, Wood, Andrew R, Ji, Yingji, Gao, Zishan, Haworth, Simon, Mitchell, Ruth E, Chai, Jin Fang, Aadahl, Mette, Yao, Jie, Manichaikul, Ani, Warren, Helen R, Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L, Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Sidore, Carlo, Fiorillo, Edoardo, McDaid, Aaron F, Marques-Vidal, Pedro, Wielscher, Matthias, Trompet, Stella, Sattar, Naveed, Møllehave, Line T, Thuesen, Betina H, Munz, Matthias, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Lamina, Claudia, Forer, Lukas, Scholz, Markus, Galesloot, Tessel E., Bradfield, Jonathan P., Daw, E Warwick, Zmuda, Joseph M, Mitchell, Jonathan S, Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A, Feitosa, Mary F, Wojczynski, Mary K, Preuss, Michael, Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W, Engmann, Jorgen, Kember, Rachel L, Slieker, Roderick C, Lo, Ken Sin, Zilhao, Nuno R, Le, Phuong, Kleber, Marcus E, Delgado, Graciela E, Huo, Shaofeng, Ikeda, Daisuke D, Iha, Hiroyuki, Yang, Jian, Liu, Jun, Leonard, Hampton L, Marten, Jonathan, Schmidt, Börge, Arendt, Marina, Smyth, Laura J, Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlos, Lyssenko, Valeriya, Ahmed, Meraj, Jackson, Anne U, Irvin, Marguerite R, Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul RHJ, Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A, Chai, Xiaoran, Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N, Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C, Wang, Ya Xing, Wei, Wen B., Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Hung, Yi-Jen, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A, Gorski, Mathias, Brumat, Marco, Meidtner, Karina, Bielak, Lawrence F, Smith, Jennifer A, Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Xue, Chao, Zhang, Jifeng, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J, Pitkänen, Niina, Cade, Brian E, Lee, Jiwon, van der Laan, Sander W., Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Zimmermann, Martina E, Lee, Jong Young, Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W, Wang, Carol A, Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hildalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O, van Setten, Jessica, Li, Xiaoyin, Schwander, Karen, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D, Reiner, Alexander P, Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Highland, Heather M, Young, Kristin L, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C, Nadkarni, Girish N., Launer, Lenore J, Li, Huaixing, Nalls, Mike A, Raitakari, Olli T, Ichihara, Sahoko, Wild, Sarah H, Nelson, Christopher P, Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S, Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, Bhatti, Konain Fatima, de Kleijn, Dominique, de Borst, Gert J., Kim, Eung Kweon, Adams, Hieab H.H., Ikram, M. Arfan, Zhu, Xiaofeng, Asselbergs, Folkert W, Kraaijeveld, Adriaan O, Beulens, Joline WJ, Shu, Xiao-Ou, Rallidis, Loukianos S, Pedersen, Oluf, Hansen, Torben, Mitchell, Paul, Hewitt, Alex W, Kähönen, Mika, Pérusse, Louis, Bouchard, Claude, Tönjes, Anke, Chen, Yii-Der Ida, Pennell, Craig E, Mori, Trevor A, Lieb, Wolfgang, Franke, Andre, Ohlsson, Claes, Mellström, Dan, Cho, Yoon Shin, Lee, Hyejin, Yuan, Jian-Min, Koh, Woon-Puay, Rhee, Sang Youl, Woo, Jeong-Taek, Heid, Iris M, Stark, Klaus J, Völzke, Henry, Homuth, Georg, Evans, Michele K, Zonderman, Alan B, Polasek, Ozren, Pasterkamp, Gerard, Hoefer, Imo E, Redline, Susan, Pahkala, Katja, Oldehinkel, Albertine J, Snieder, Harold, Biino, Ginevra, Schmidt, Reinhold, Schmidt, Helena, Chen, Y Eugene, Bandinelli, Stefania, Dedoussis, George, Thanaraj, Thangavel Alphonse, Kardia, Sharon LR, Kato, Norihiro, Schulze, Matthias B, Girotto, Giorgia, Jung, Bettina, Böger, Carsten A, Joshi, Peter K, Bennett, David A, De Jager, Philip L, Lu, Xiangfeng, Mamakou, Vasiliki, Brown, Morris, Caulfield, Mark J, Munroe, Patricia B, Guo, Xiuqing, Ciullo, Marina, Jonas, Jost B., Samani, Nilesh J, Chasman, Daniel I., Kaprio, Jaakko, Pajukanta, Päivi, Tusié-Luna, Teresa, Aguilar-Salinas, Carlos A, Adair, Linda S, Bechayda, Sonny Augustin, de Silva, H. Janaka, Wickremasinghe, Ananda R, Krauss, Ronald M, Wu, Jer-Yuarn, Zheng, Wei, den Hollander, Anneke I, Bharadwaj, Dwaipayan, Correa, Adolfo, Wilson, James G, Lind, Lars, Heng, Chew-Kiat, Nelson, Amanda E, Golightly, Yvonne M, Wilson, James F, Penninx, Brenda, Kim, Hyung-Lae, Attia, John, Scott, Rodney J, Rao, D C, Arnett, Donna K, Walker, Mark, Koistinen, Heikki A, Chandak, Giriraj R, Yajnik, Chittaranjan S, Mercader, Josep M, Tusie-Luna, Teresa, Aguilar-Salinas, Carlos, Villalpando, Clicerio Gonzalez, Orozco, Lorena, Fornage, Myriam, Tai, E Shyong, van Dam, Rob M, Lehtimäki, Terho, Chaturvedi, Nish, Yokota, Mitsuhiro, Liu, Jianjun, Reilly, Dermot F, McKnight, Amy Jayne, Kee, Frank, Jöckel, Karl-Heinz, McCarthy, Mark I, Palmer, Colin NA, Vitart, Veronique, Hayward, Caroline, Simonsick, Eleanor, van Duijn, Cornelia M, Lu, Fan, Qu, Jia, Hishigaki, Haretsugu, Lin, Xu, März, Winfried, Parra, Esteban J, Cruz, Miguel, Gudnason, Vilmundur, Tardif, Jean-Claude, Lettre, Guillaume, Hart, Leen M t, Elders, Petra JM, Rader, Daniel J, Damrauer, Scott M, Kumari, Meena, Kivimaki, Mika, van der Harst, Pim, Spector, Tim D, Loos, Ruth J.F., Province, Michael A, Psaty, Bruce M, Brandslund, Ivan, Pramstaller, Peter P, Christensen, Kaare, Ripatti, Samuli, Widén, Elisabeth, Hakonarson, Hakon, Grant, Struan F.A., Kiemeney, Lambertus ALM, de Graaf, Jacqueline, Loeffler, Markus, Kronenberg, Florian, Gu, Dongfeng, Erdmann, Jeanette, Schunkert, Heribert, Franks, Paul W, Linneberg, Allan, Jukema, J. Wouter, Khera, Amit V, Männikkö, Minna, Jarvelin, Marjo-Riitta, Kutalik, Zoltan, Cucca, Francesco, Mook-Kanamori, Dennis O, van Dijk, Ko Willems, Watkins, Hugh, Strachan, David P, Grarup, Niels, Sever, Peter, Poulter, Neil, Rotter, Jerome I, Dantoft, Thomas M, Karpe, Fredrik, Neville, Matt J, Timpson, Nicholas J, Cheng, Ching-Yu, Wong, Tien-Yin, Khor, Chiea Chuen, Sabanayagam, Charumathi, Peters, Annette, Gieger, Christian, Hattersley, Andrew T, Pedersen, Nancy L, Magnusson, Patrik KE, Boomsma, Dorret I, de Geus, Eco JC, Cupples, L Adrienne, van Meurs, Joyce B.J., Ghanbari, Mohsen, Gordon-Larsen, Penny, Huang, Wei, Kim, Young Jin, Tabara, Yasuharu, Wareham, Nicholas J, Langenberg, Claudia, Zeggini, Eleftheria, Kuusisto, Johanna, Laakso, Markku, Ingelsson, Erik, Abecasis, Goncalo, Chambers, John C, Kooner, Jaspal S, de Vries, Paul S, Morrison, Alanna C, North, Kari E., Daviglus, Martha, Kraft, Peter, Martin, Nicholas G, Whitfield, John B, Abbas, Shahid, Saleheen, Danish, Walters, Robin G, Holmes, Michael V, Black, Corri, Smith, Blair H, Justice, Anne E, Baras, Aris, Buring, Julie E, Ridker, Paul M, Chasman, Daniel I, Kooperberg, Charles, Wei, Wei-Qi, Jarvik, Gail P, Namjou, Bahram, Hayes, M. Geoffrey, Ritchie, Marylyn D, Jousilahti, Pekka, Salomaa, Veikko, Hveem, Kristian, Åsvold, Bjørn Olav, Kubo, Michiaki, Kamatani, Yoichiro, Okada, Yukinori, Murakami, Yoshinori, Thorsteinsdottir, Unnur, Stefansson, Kari, Ho, Yuk-Lam, Lynch, Julie A, Rader, Daniel, Tsao, Phil S, Chang, Kyong-Mi, Cho, Kelly, O’Donnell, Christopher J, Gaziano, John M, Wilson, Peter, Rotimi, Charles N, Hazelhurst, Scott, Ramsay, Michèle, Trembath, Richard C, van Heel, David A, Tamiya, Gen, Yamamoto, Masayuki, Kim, Bong-Jo, Mohlke, Karen L, Frayling, Timothy M, Hirschhorn, Joel N, Kathiresan, Sekar, Boehnke, Michael, Natarajan, Pradeep, Peloso, Gina M, Brown, Christopher D, Morris, Andrew P, Assimes, Themistocles L, Deloukas, Panos, Sun, Yan V, Willer, Cristen J, VA Million Veteran Program, Global Lipids Genetics Consortium, Internal Medicine, Epidemiology, Radiology & Nuclear Medicine, Graham, S. E., Clarke, S. L., Wu, K. -H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., Locke, A. E., Marouli, E., Hwang, M. Y., Han, S., Narita, A., Choudhury, A., Bentley, A. R., Ekoru, K., Verma, A., Trivedi, B., Martin, H. C., Hunt, K. A., Hui, Q., Klarin, D., Zhu, X., Thorleifsson, G., Helgadottir, A., Gudbjartsson, D. F., Holm, H., Olafsson, I., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W., Brumpton, B. M., Rasheed, H., Ruotsalainen, S. E., Havulinna, A. S., Veturi, Y., Feng, Q. P., Rosenthal, E. A., Lingren, T., Pacheco, J. A., Pendergrass, S. A., Haessler, J., Giulianini, F., Bradford, Y., Miller, J. E., Campbell, A., Lin, K., Millwood, I. Y., Hindy, G., Rasheed, A., Faul, J. D., Zhao, W., Weir, D. R., Turman, C., Huang, H., Graff, M., Mahajan, A., Brown, M. R., Zhang, W., Yu, K., Schmidt, E. M., Pandit, A., Gustafsson, S., Yin, X., Luan, J., Zhao, J. -H., Matsuda, F., Jang, H. -M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J. J., Willemsen, G., Wood, A. R., Ji, Y., Gao, Z., Haworth, S., Mitchell, R. E., Chai, J. F., Aadahl, M., Yao, J., Manichaikul, A., Warren, H. R., Ramirez, J., Bork-Jensen, J., Karhus, L. L., Goel, A., Sabater-Lleal, M., Noordam, R., Sidore, C., Fiorillo, E., Mcdaid, A. F., Marques-Vidal, P., Wielscher, M., Trompet, S., Sattar, N., Mollehave, L. T., Thuesen, B. H., Munz, M., Zeng, L., Huang, J., Yang, B., Poveda, A., Kurbasic, A., Lamina, C., Forer, L., Scholz, M., Galesloot, T. E., Bradfield, J. P., Daw, E. W., Zmuda, J. M., Mitchell, J. S., Fuchsberger, C., Christensen, H., Brody, J. A., Feitosa, M. F., Wojczynski, M. K., Preuss, M., Mangino, M., Christofidou, P., Verweij, N., Benjamins, J. W., Engmann, J., Kember, R. L., Slieker, R. C., Lo, K. S., Zilhao, N. R., Le, P., Kleber, M. E., Delgado, G. E., Huo, S., Ikeda, D. D., Iha, H., Yang, J., Liu, J., Leonard, H. L., Marten, J., Schmidt, B., Arendt, M., Smyth, L. J., Canadas-Garre, M., Wang, C., Nakatochi, M., Wong, A., Hutri-Kahonen, N., Sim, X., Xia, R., Huerta-Chagoya, A., Fernandez-Lopez, J. C., Lyssenko, V., Ahmed, M., Jackson, A. U., Irvin, M. R., Oldmeadow, C., Kim, H. -N., Ryu, S., Timmers, P. R. H. J., Arbeeva, L., Dorajoo, R., Lange, L. A., Chai, X., Prasad, G., Lores-Motta, L., Pauper, M., Long, J., Li, X., Theusch, E., Takeuchi, F., Spracklen, C. N., Loukola, A., Bollepalli, S., Warner, S. C., Wang, Y. X., Wei, W. B., Nutile, T., Ruggiero, D., Sung, Y. J., Hung, Y. -J., Chen, S., Liu, F., Kentistou, K. A., Gorski, M., Brumat, M., Meidtner, K., Bielak, L. F., Smith, J. A., Hebbar, P., Farmaki, A. -E., Hofer, E., Lin, M., Xue, C., Zhang, J., Concas, M. P., Vaccargiu, S., van der Most, P. J., Pitkanen, N., Cade, B. E., Lee, J., van der Laan, S. W., Chitrala, K. N., Weiss, S., Zimmermann, M. E., Lee, J. Y., Choi, H. S., Nethander, M., Freitag-Wolf, S., Southam, L., Rayner, N. W., Wang, C. A., Lin, S. -Y., Wang, J. -S., Couture, C., Lyytikainen, L. -P., Nikus, K., Cuellar-Partida, G., Vestergaard, H., Hildalgo, B., Giannakopoulou, O., Cai, Q., Obura, M. O., van Setten, J., Schwander, K., Terzikhan, N., Shin, J. H., Jackson, R. D., Reiner, A. P., Martin, L. W., Chen, Z., Li, L., Highland, H. M., Young, K. L., Kawaguchi, T., Thiery, J., Bis, J. C., Nadkarni, G. N., Launer, L. J., Li, H., Nalls, M. A., Raitakari, O. T., Ichihara, S., Wild, S. H., Nelson, C. P., Campbell, H., Jager, S., Nabika, T., Al-Mulla, F., Niinikoski, H., Braund, P. S., Kolcic, I., Kovacs, P., Giardoglou, T., Katsuya, T., Bhatti, K. F., de Kleijn, D., de Borst, G. J., Kim, E. K., Adams, H. H. H., Ikram, M. A., Asselbergs, F. W., Kraaijeveld, A. O., Beulens, J. W. J., Shu, X. -O., Rallidis, L. S., Pedersen, O., Hansen, T., Mitchell, P., Hewitt, A. W., Kahonen, M., Perusse, L., Bouchard, C., Tonjes, A., Chen, Y. -D. I., Pennell, C. E., Mori, T. A., Lieb, W., Franke, A., Ohlsson, C., Mellstrom, D., Cho, Y. S., Lee, H., Yuan, J. -M., Koh, W. -P., Rhee, S. Y., Woo, J. -T., Heid, I. M., Stark, K. J., Volzke, H., Homuth, G., Evans, M. K., Zonderman, A. B., Polasek, O., Pasterkamp, G., Hoefer, I. E., Redline, S., Pahkala, K., Oldehinkel, A. J., Snieder, H., Biino, G., Schmidt, R., Schmidt, H., Chen, Y. E., Bandinelli, S., Dedoussis, G., Thanaraj, T. A., Kardia, S. L. R., Kato, N., Schulze, M. B., Girotto, G., Jung, B., Boger, C. A., Joshi, P. K., Bennett, D. A., De Jager, P. L., Lu, X., Mamakou, V., Brown, M., Caulfield, M. J., Munroe, P. B., Guo, X., Ciullo, M., Jonas, J. B., Samani, N. J., Kaprio, J., Pajukanta, P., Adair, L. S., Bechayda, S. A., de Silva, H. J., Wickremasinghe, A. R., Krauss, R. M., Wu, J. -Y., Zheng, W., den Hollander, A. I., Bharadwaj, D., Correa, A., Wilson, J. G., Lind, L., Heng, C. -K., Nelson, A. E., Golightly, Y. M., Wilson, J. F., Penninx, B., Kim, H. -L., Attia, J., Scott, R. J., Rao, D. C., Arnett, D. K., Walker, M., Koistinen, H. A., Chandak, G. R., Yajnik, C. S., Mercader, J. M., Tusie-Luna, T., Aguilar-Salinas, C. A., Villalpando, C. G., Orozco, L., Fornage, M., Tai, E. S., van Dam, R. M., Lehtimaki, T., Chaturvedi, N., Yokota, M., Reilly, D. F., Mcknight, A. J., Kee, F., Jockel, K. -H., Mccarthy, M. I., Palmer, C. N. A., Vitart, V., Hayward, C., Simonsick, E., van Duijn, C. M., Lu, F., Qu, J., Hishigaki, H., Lin, X., Marz, W., Parra, E. J., Cruz, M., Gudnason, V., Tardif, J. -C., Lettre, G., 't Hart, L. M., Elders, P. J. M., Damrauer, S. M., Kumari, M., Kivimaki, M., van der Harst, P., Spector, T. D., Loos, R. J. F., Province, M. A., Psaty, B. M., Brandslund, I., Pramstaller, P. P., Christensen, K., Ripatti, S., Widen, E., Hakonarson, H., Grant, S. F. A., Kiemeney, L. A. L. M., de Graaf, J., Loeffler, M., Kronenberg, F., Gu, D., Erdmann, J., Schunkert, H., Franks, P. W., Linneberg, A., Jukema, J. W., Khera, A. V., Mannikko, M., Jarvelin, M. -R., Kutalik, Z., Cucca, F., Mook-Kanamori, D. O., van Dijk, K. W., Watkins, H., Strachan, D. P., Grarup, N., Sever, P., Poulter, N., Rotter, J. I., Dantoft, T. M., Karpe, F., Neville, M. J., Timpson, N. J., Cheng, C. -Y., Wong, T. -Y., Khor, C. C., Sabanayagam, C., Peters, A., Gieger, C., Hattersley, A. T., Pedersen, N. L., Magnusson, P. K. E., Boomsma, D. I., de Geus, E. J. C., Cupples, L. A., van Meurs, J. B. J., Ghanbari, M., Gordon-Larsen, P., Huang, W., Kim, Y. J., Tabara, Y., Wareham, N. J., Langenberg, C., Zeggini, E., Kuusisto, J., Laakso, M., Ingelsson, E., Abecasis, G., Chambers, J. C., Kooner, J. S., de Vries, P. S., Morrison, A. C., North, K. E., Daviglus, M., Kraft, P., Martin, N. G., Whitfield, J. B., Abbas, S., Saleheen, D., Walters, R. G., Holmes, M. V., Black, C., Smith, B. H., Justice, A. E., Baras, A., Buring, J. E., Ridker, P. M., Chasman, D. I., Kooperberg, C., Wei, W. -Q., Jarvik, G. P., Namjou, B., Hayes, M. G., Ritchie, M. D., Jousilahti, P., Salomaa, V., Hveem, K., Asvold, B. O., Kubo, M., Kamatani, Y., Okada, Y., Murakami, Y., Thorsteinsdottir, U., Stefansson, K., Ho, Y. -L., Lynch, J. A., Rader, D. J., Tsao, P. S., Chang, K. -M., Cho, K., O'Donnell, C. J., Gaziano, J. M., Wilson, P., Rotimi, C. N., Hazelhurst, S., Ramsay, M., Trembath, R. C., van Heel, D. A., Tamiya, G., Yamamoto, M., Kim, B. -J., Mohlke, K. L., Frayling, T. M., Hirschhorn, J. N., Kathiresan, S., Boehnke, M., Natarajan, P., Peloso, G. M., Brown, C. D., Morris, A. P., Assimes, T. L., Deloukas, P., Sun, Y. V., Willer, C. J., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, AMS - Ageing & Vitality, and AMS - Sports
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blood lipid level ,Multifactorial Inheritance ,GWAS ,blood lipid levels ,cardiovascular disease ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,Medizin ,LOCI ,ANCESTRY ,VARIANTS ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12] ,Article ,Population Groups ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,METAANALYSIS ,POLYMORPHISMS ,RISK ,Multidisciplinary ,Cardiovascular Diseases ,Genome-Wide Association Study ,Cardiovascular Diseases/genetics ,Genetic Predisposition to Disease/genetics ,Genome-Wide Association Study/methods ,Polymorphism, Single Nucleotide/genetics ,CHOLESTEROL ,Human Genetics ,INDIVIDUALS ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,DISCOVERY ,LOW-FREQUENCY ,Delivery of Health Care - Abstract
Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use 1 . Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels 2 , heart disease remains the leading cause of death worldwide 3 . Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS 4-23 have been conducted in European ancestry populations and may have missed genetic variants that contribute to lipid-level variation in other ancestry groups. These include differences in allele frequencies, effect sizes and linkage-disequilibrium patterns 24 . Here we conduct a multi-ancestry, genome-wide genetic discovery meta-analysis of lipid levels in approximately 1.65 million individuals, including 350,000 of non-European ancestries. We quantify the gain in studying non-European ancestries and provide evidence to support the expansion of recruitment of additional ancestries, even with relatively small sample sizes. We find that increasing diversity rather than studying additional individuals of European ancestry results in substantial improvements in fine-mapping functional variants and portability of polygenic prediction (evaluated in approximately 295,000 individuals from 7 ancestry groupings). Modest gains in the number of discovered loci and ancestry-specific variants were also achieved. As GWAS expand emphasis beyond the identification of genes and fundamental biology towards the use of genetic variants for preventive and precision medicine 25 , we anticipate that increased diversity of participants will lead to more accurate and equitable 26 application of polygenic scores in clinical practice.
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- 2021
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44. Metabolic syndrome, radiographic osteoarthritis progression and chronic pain of the knee among men and women from the general population: The Rotterdam study.
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Szilagyi IA, Nguyen NL, Boer CG, Schiphof D, Ahmadizar F, Kavousi M, Bierma-Zeinstra SMA, and van Meurs JBJ
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- Humans, Male, Female, Middle Aged, Aged, Prospective Studies, Netherlands epidemiology, Radiography, Knee Joint diagnostic imaging, Risk Factors, Sex Factors, Incidence, Metabolic Syndrome epidemiology, Metabolic Syndrome diagnostic imaging, Disease Progression, Osteoarthritis, Knee diagnostic imaging, Osteoarthritis, Knee epidemiology, Osteoarthritis, Knee complications, Chronic Pain epidemiology, Chronic Pain diagnostic imaging
- Abstract
Objective: Although a relationship between osteoarthritis and components of metabolic syndrome (MetS) has been suggested, most of the results have been cross-sectional. We, therefore, aimed to investigate the sex-specific longitudinal association of (components of) MetS with progression of radiographic osteoarthritis and chronic pain in the knee joints in a large prospective cohort., Method: In the large population-based Rotterdam study of up to 6,138 individuals, median follow-up time 5.7 (IQR 5.5) years, we examined the relation between MetS and its components (abdominal obesity, high triglycerides, low high-density lipoprotein, elevated blood pressure, and type 2 diabetes) with the progression of osteoarthritis using generalized estimating equations, generalized linear models and competing risk analysis. Analyses were stratified for sex. Covariates adjusted for: age, smoking, alcohol use, education, sub-cohort, baseline K/L grade, months between radiographs and BMI., Results: The presence of MetS (37.6 % in men, 39 % in women) and elevated blood pressure was associated with an increased risk of knee osteoarthritis progression in both men and women. MetS was associated with an increased risk of incident chronic knee pain (CKP) in men. In addition, abdominal obesity and high triglycerides showed higher riskfor incidence of CKP in men,but not in women. The associations were attenuated and no longer significant after BMI-adjustment, except for the association of MetS and high triglycerides with incidence of CKP in men that stayed significant (OR 1.04, 95 %CI 1.00-1.07 for MetS and OR 1.04, 95 %CI 1.01-1.07 for high triglycerides)., Conclusion: Metabolic syndrome and individual metabolic components, such as abdominal obesity and elevated blood pressure, were associated with radiographic progression of knee OA in both men and women, but not independent of BMI. Metabolic syndrome and high triglycerides were associated with incidence of CKP only in men., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: S.M.A. Bierma-Zeinstra declares doing consultancy for Pfizer (tanezumab) and reports grants from The Netherlands Organisation for Health Research and Development (ZonMw), Dutch Arthritis Association, Foreum. The remaining authors declare no competing financial interests. All authors declare no nonfinancial conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2024
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45. DXA images vs. pelvic radiographs: Reliability of hip morphology measurements.
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Boel F, Wortel J, van Buuren MMA, Rivadeneira F, van Meurs JBJ, Runhaar J, Bierma-Zeinstra SMA, and Agricola R
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- Humans, Male, Aged, Female, Reproducibility of Results, Middle Aged, Aged, 80 and over, Acetabulum diagnostic imaging, Observer Variation, Radiography, Cohort Studies, Pelvic Bones diagnostic imaging, Absorptiometry, Photon methods, Hip Joint diagnostic imaging
- Abstract
Objective: Dual-energy x-ray absorptiometry (DXA) images are increasingly used to study hip morphology. Whether hip morphology measurements are consistent between DXA images and radiographs is unknown. Therefore, we investigated the agreement and reliability of the measurements performed on DXA images and radiographs., Design: We included participants from the Rotterdam study, a population-based cohort study, who received a hip DXA image and pelvic radiograph on the same day. The acetabular depth-width ratio (ADR), modified acetabular index (mAI), alpha angle (AA), Wiberg and lateral center edge angle (WCEA, LCEA), extrusion index (EI) and triangular index ratio (TIR) were automatically determined on both imaging modalities. The intraobserver and intermethod agreement were studied using Bland-Altman methods, and the reliability was assessed using intraclass correlation coefficients (ICC). Secondly, the diagnostic agreement regarding dysplasia, cam, and pincer morphology was assessed using percent agreement and Cohen's kappa., Results: A total of 750 hips from 411 individuals, median age 67.3 years (range 52.2 - 90.6), 45.5% male, were included. The following intermethod ICCs (95% CI) were obtained: ADR 0.85 (0.74-0.91), mAI 0.75 (0.52-0.85), AA 0.72 (0.68-0.75), WCEA 0.81 (0.74-0.85), LCEA 0.93 (0.91-0.94), EI 0.88 (0.84-0.91), and TIR 0.81 (0.79-0.84). We found comparable intraobserver ICCs for each morphological measurement., Conclusion: DXA images and pelvic radiographs could both reliably be used to study hip morphology. Due to the lower radiation burden, DXA images could be an excellent alternative to pelvic radiographs for research purposes., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2025
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46. Lifestyle factors and metabolomic aging biomarkers: Meta-analysis of cross-sectional and longitudinal associations in three prospective cohorts.
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Kuiper LM, Smit AP, Bizzarri D, van den Akker EB, Reinders MJT, Ghanbari M, van Rooij JGJ, Voortman T, Rivadeneira F, Dollé MET, Herber GCM, Rietman ML, Picavet HSJ, van Meurs JBJ, and Verschuren WMM
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- Humans, Male, Female, Middle Aged, Cross-Sectional Studies, Longitudinal Studies, Prospective Studies, Metabolomics methods, Aged, Exercise physiology, Life Style, Biomarkers blood, Biomarkers metabolism, Aging metabolism, Aging physiology
- Abstract
Biological age uses biophysiological information to capture a person's age-related risk of adverse outcomes. MetaboAge and MetaboHealth are metabolomics-based biomarkers of biological age trained on chronological age and mortality risk, respectively. Lifestyle factors contribute to the extent chronological and biological age differ. The association of lifestyle factors with MetaboAge and MetaboHealth, potential sex differences in these associations, and MetaboAge's and MetaboHealth's sensitivity to lifestyle changes have not been studied yet. Linear regression analyses and mixed-effect models were used to examine the cross-sectional and longitudinal associations of scaled lifestyle factors with scaled MetaboAge and MetaboHealth in 24,332 middle-aged participants from the Doetinchem Cohort Study, Rotterdam Study, and UK Biobank. Random-effect meta-analyses were performed across cohorts. Repeated metabolomics measurements had a ten-year interval in the Doetinchem Cohort Study and a five-year interval in the UK Biobank. In the first study incorporating longitudinal information on MetaboAge and MetaboHealth, we demonstrate associations between current smoking, sleeping ≥8 hours/day, higher BMI, and larger waist circumference were associated with higher MetaboHealth, the latter two also with higher MetaboAge. Furthermore, adhering to the dietary and physical activity guidelines were inversely associated with MetaboHealth. Lastly, we observed sex differences in the associations between alcohol use and MetaboHealth., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests., (Copyright © 2024. Published by Elsevier B.V.)
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- 2024
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47. First-trimester maternal renin-angiotensin-aldosterone system activation and the association with maternal telomere length after natural and IVF/ICSI conceived pregnancies: the Rotterdam periconception cohort.
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Aoulad Fares D, Wiegel RE, Eggink AJ, van Meurs JBJ, Willemsen SP, Danser AHJ, and Steegers-Theunissen RPM
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- Pregnancy, Male, Female, Humans, Pregnancy Trimester, First, Renin, Aldosterone, Semen, Fertilization, Fertilization in Vitro, Telomere, Sperm Injections, Intracytoplasmic, Renin-Angiotensin System
- Abstract
Objective: To study associations between the first-trimester maternal determinants of renin-angiotensin-aldosterone system (RAAS) activation and telomere length (TL) in pregnancies conceived natural and after IVF/ICSI., Methods: In 145 pregnancies of the Rotterdam Periconception cohort renin, prorenin and aldosterone concentrations were measured in maternal blood at 9 weeks gestational age (GA). TL was measured by qPCR at 20 weeks GA., Results: A significantly negative correlation was found between renin and TL, which was attenuated for prorenin but not observed for aldosterone. Maternal TL was significantly shorter in pregnancies conceived after in-vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) compared to natural pregnancies., Conclusion: The negative association between first-trimester maternal renin and maternal TL, and the shorter maternal TL in women after IVF/ICSI treatment compared to natural pregnancies, substantiates the role of excessive RAAS activation.
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- 2023
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48. Metabolic syndrome and the progression of knee osteoarthritis on MRI.
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Jansen NEJ, Molendijk E, Schiphof D, van Meurs JBJ, Oei EHG, van Middelkoop M, and Bierma-Zeinstra SMA
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- Female, Humans, Disease Progression, Knee Joint diagnostic imaging, Knee Joint pathology, Magnetic Resonance Imaging methods, Osteoarthritis, Knee diagnostic imaging, Osteoarthritis, Knee pathology, Metabolic Syndrome complications, Metabolic Syndrome diagnostic imaging, Osteophyte pathology, Cartilage Diseases pathology
- Abstract
Objective: Metabolic osteoarthritis (OA) is one of the proposed clinical phenotypes defined by the existence of metabolic syndrome (MetS). This study aimed to (1) investigate whether MetS and its components are associated with progression of knee OA magnetic resonance imaging (MRI) features, and (2) to evaluate the interaction of MetS with menopause and progression of MRI features., Method: 682 women from the Rotterdam Study who participated in a sub-study with knee MRI data available and 5-year follow-up were included. Tibiofemoral (TF) and patellofemoral (PF) OA features were assessed with the MRI Osteoarthritis Knee Score. MetS was quantified by the MetS severity Z-score. Generalized estimating equations were used to evaluate associations between MetS and menopausal transition and progression of MRI features., Results: MetS severity at baseline was associated with progression of osteophytes in all compartments, bone marrow lesions (BMLs) in the PF compartment, and cartilage defects in the medial TF compartment. Waist circumference was associated with progression of osteophytes in all compartments and cartilage defects in the medial TF compartment. High-density lipoprotein (HDL)-cholesterol levels were associated with progression of osteophytes in the medial and lateral TF compartment and glucose levels with osteophytes in the PF and medial TF compartment. No interactions were found between MetS with menopausal transition and MRI features., Conclusion: Women with higher MetS severity at baseline showed progression of osteophytes, BMLs, and cartilage defects, indicating more structural knee OA progression after 5 years. Further studies are required to understand whether targeting MetS components may prevent the progression of structural knee OA in women., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2023
- Full Text
- View/download PDF
49. Skin autofluorescence, a non-invasive biomarker of advanced glycation end products, and its relation to radiographic and MRI based osteoarthritis.
- Author
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Waqas K, Szilagyi IA, Schiphof D, Boer CG, Bierma-Zeinstra S, van Meurs JBJ, and Zillikens MC
- Subjects
- Male, Humans, Female, Glycation End Products, Advanced, Magnetic Resonance Imaging methods, Biomarkers, Skin, Osteoarthritis, Knee diagnostic imaging, Cartilage, Articular diagnostic imaging
- Abstract
Objectives: Accumulation of advanced glycation end products (AGEs) in articular cartilage during aging has been proposed as a mechanism involved in the development of osteoarthritis (OA). Therefore, we investigated a cross-sectional relationship between skin AGEs, a biomarker for systemic AGEs accumulation, and OA., Methods: Skin AGEs were estimated with the AGE Reader™ as skin autofluorescence (SAF). Knee and hip X-rays were scored according to Kellgren and Lawrence (KL) system. KL-sum score of all four joints was calculated per participant to assess severity of overall radiographic OA (ROA) including or excluding those with prosthesis. Knee MRI of tibiofemoral joint (TF
MRI ) was assessed for cartilage loss. Sex-stratified regression models were performed after testing interaction with SAF., Results: 2,153 participants were included for this cross-sectional analysis. In women (n = 1,206) for one unit increase in SAF, the KL-sum score increased by 1.15 (95% confidence interval = 1.00-1.33) but excluding women with prosthesis, there was no KL-sum score increase [0.96 (0.83-1.11)]. SAF was associated with higher prevalence of prosthesis [Odds ratio, OR = 1.67 (1.10-2.54)] but not with ROA [OR = 0.83 (0.61-1.14)] when compared to women with no ROA. In men (n = 947), there was inconclusive association between SAF and KL sum score or prosthesis. For TFMRI (n = 103 women), SAF was associated with higher prevalence of cartilage loss, full-thickness [OR = 5.44 (1.27-23.38)] and partial-thickness [OR = 1.45 (0.38-5.54)], when compared to participants with no cartilage loss., Conclusion: Higher SAF in women was associated with higher prosthesis prevalence and a trend towards higher cartilage loss on MRI. Our data presents inconclusive results between SAF and ROA in both sexes., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)- Published
- 2022
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50. The prevalence, incidence, and progression of radiographic thumb base osteoarthritis in a population-based cohort: the Rotterdam Study.
- Author
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Teunissen JS, Wouters RM, Bierma-Zeintra SMA, van Meurs JBJ, Schreuders TAR, Zuidam JM, and Selles RW
- Subjects
- Female, Humans, Incidence, Prevalence, Radiography, Thumb diagnostic imaging, Osteoarthritis diagnostic imaging, Osteoarthritis epidemiology, Osteoarthritis, Knee diagnostic imaging
- Abstract
Objective: To describe the prevalence, incidence, and progression of radiographic thumb carpometacarpal (CMC-1) and trapezioscaphoid (TS) radiographic osteoarthritis (ROA) in the general Dutch population aged ≥55y., Design: Data were from the first and second cohort of the Rotterdam Study (1990-2005, 4-12 years follow-up, age 55+). Participants underwent bilateral radiographs at baseline (N = 7792) and follow-up (N = 3804), read for Kellgren-Lawrence (K-L) grade. ROA was defined on the joint level as K-L grade ≥2. The prevalence was assessed at baseline, incidence at follow-up in those free of ROA at baseline, and progression in those with ROA. Differences based on sex and age were evaluated using logistic regression models., Results: At baseline, 1977 (25.3%) had CMC-1 ROA and 1133 (14.5%) TS ROA. The prevalence was higher in females for CMC-1 (aOR = 1.98 95%CI [1.77-2.21]) and TS ROA (aOR = 2.00 [1.74-2.29]) and increased for every year of age (CMC-1 ROA 1.08 [1.07-1.08]) (TS ROA 1.06 [1.05-1.07]). Most (437/512; 85.4%) incident cases of CMC-1 ROA (2994 at risk) were mild (K-L = 2), whereas most (145/167; 86,8%) incident cases of TS ROA (3311 at risk) were moderate to severe (K-L = 3/4). CMC-1 ROA progression was mostly (88/100; 88.0%) seen in the K-L 2 group at baseline, whereas that was (4/17; 23.5%) for TS ROA., Conclusion: CMC-1 ROA and TS ROA are prevalent in the general Dutch population. While incident CMC-1 ROA was primarily mild, incident TS ROA was more often moderate to severe. CMC-1 ROA was a strong predictor for incident TS ROA., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
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