529 results on '"van Schoor Natasja M"'
Search Results
2. AI-based decision support to optimize complex care for preventing medication-related falls
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van de Loo, Bob, Linn, Annemiek J., Medlock, Stephanie, Belimbegovski, Wesna, Seppala, Lotta J., van Weert, Julia C. M., Abu-Hanna, Ameen, van Schoor, Natasja M., and van der Velde, Nathalie
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- 2024
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3. Combining user-centered design and behavioral theory to enhance health technologies: A personas-based approach for a primary-care based multifactorial falls risk assessment tool
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Groos, Sara S., Linn, Annemiek J., Kuiper, Judith I., van Schoor, Natasja M., van der Velde, Nathalie, and van Weert, Julia C.M.
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- 2024
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4. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
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de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín
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- 2023
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5. Comparison of the Effect of Daily Vitamin D2 and Vitamin D3 Supplementation on Serum 25-Hydroxyvitamin D Concentration (Total 25(OH)D, 25(OH)D2, and 25(OH)D3) and Importance of Body Mass Index: A Systematic Review and Meta-Analysis
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van den Heuvel, Ellen GHM., Lips, Paul, Schoonmade, Linda J., Lanham-New, Susan A., and van Schoor, Natasja M.
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- 2024
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6. Rationale and design of the B-PROOF study, a randomized controlled trial on the effect of supplemental intake of vitamin B12 and folic acid on fracture incidence
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van Wijngaarden Janneke P, Dhonukshe-Rutten Rosalie AM, van Schoor Natasja M, van der Velde Nathalie, Swart Karin MA, Enneman Anke W, van Dijk Suzanne C, Brouwer-Brolsma Elske M, Zillikens M Carola, van Meurs Joyce BJ, Brug Johannes, Uitterlinden André G, Lips Paul, and de Groot Lisette CPGM
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Geriatrics ,RC952-954.6 - Abstract
Abstract Background Osteoporosis is a major health problem, and the economic burden is expected to rise due to an increase in life expectancy throughout the world. Current observational evidence suggests that an elevated homocysteine concentration and poor vitamin B12 and folate status are associated with an increased fracture risk. As vitamin B12 and folate intake and status play a large role in homocysteine metabolism, it is hypothesized that supplementation with these B-vitamins will reduce fracture incidence in elderly people with an elevated homocysteine concentration. Methods/Design The B-PROOF (B-Vitamins for the PRevention Of Osteoporotic Fractures) study is a randomized double-blind placebo-controlled trial. The intervention comprises a period of two years, and includes 2919 subjects, aged 65 years and older, independently living or institutionalized, with an elevated homocysteine concentration (≥ 12 μmol/L). One group receives daily a tablet with 500 μg vitamin B12 and 400 μg folic acid and the other group receives a placebo tablet. In both tablets 15 μg (600 IU) vitamin D is included. The primary outcome of the study is osteoporotic fractures. Measurements are performed at baseline and after two years and cover bone health i.e. bone mineral density and bone turnover markers, physical performance and physical activity including falls, nutritional intake and status, cognitive function, depression, genetics and quality of life. This large multi-center project is carried out by a consortium from the Erasmus MC (Rotterdam, the Netherlands), VUmc (Amsterdam, the Netherlands) and Wageningen University, (Wageningen, the Netherlands), the latter acting as coordinator. Discussion To our best knowledge, the B-PROOF study is the first intervention study in which the effect of vitamin B12 and folic acid supplementation on osteoporotic fractures is studied in a general elderly population. We expect the first longitudinal results of the B-PROOF intervention in the second semester of 2013. The results of this intervention will provide evidence on the efficacy of vitamin B12 and folate supplementation in the prevention of osteoporotic fractures. Trial Registration The B-PROOF study is registered with the Netherlands Trial (NTR NTR1333) and with ClinicalTrials.gov (NCT00696514).
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- 2011
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7. European Project on Osteoarthritis (EPOSA): methodological challenges in harmonization of existing data from five European population-based cohorts on aging
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Schaap Laura A, Peeters Geeske MEE, Dennison Elaine M, Zambon Sabina, Nikolaus Thorsten, Sanchez-Martinez Mercedes, Musacchio Estella, van Schoor Natasja M, and Deeg Dorly JH
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Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background The European Project on OSteoArthritis (EPOSA), here presented for the first time, is a collaborative study involving five European cohort studies on aging. This project focuses on the personal and societal burden and its determinants of osteoarthritis (OA). The aim of the current report is to describe the purpose of the project, the post harmonization of the cross-national data and methodological challenges related to the harmonization process Methods The study includes data from cohort studies in five European countries (Germany, Italy, the Netherlands, Spain and the United Kingdom) on older community-dwelling persons aged ≥ 59 years. The study design and main characteristics of the five cohort studies are described. Post harmonization algorithms are developed by finding a "common denominator" to merge the datasets and weights are calculated to adjust for differences in age and sex distribution across the datasets. Results A harmonized database was developed, consisting of merged data from all participating countries. In total, 10107 persons are included in the harmonized dataset with a mean age of 72.8 years (SD 6.1). The female/male ratio is 53.3/46.7%. Some variables were difficult to harmonize due to differences in wording and categories, differences in classifications and absence of data in some countries. The post harmonization algorithms are described in detail in harmonization guidelines attached to this paper. Conclusions There was little evidence of agreement on the use of several core data collection instruments, in particular on the measurement of OA. The heterogeneity of OA definitions hampers comparing prevalence rates of OA, but other research questions can be investigated using high quality harmonized data. By publishing the harmonization guidelines, insight is given into (the interpretation of) all post harmonized data of the EPOSA study.
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- 2011
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8. Distinguishing four components underlying physical activity: a new approach to using physical activity questionnaire data in old age
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Dekker Joost, van Schoor Natasja M, Verweij Lisanne M, and Visser Marjolein
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Geriatrics ,RC952-954.6 - Abstract
Abstract Background It is evident that physical activity has many benefits, but it often remains unclear which types of activity are optimal for health and functioning in old age. The aim of this methodological study was to propose a method for distinguishing four components underlying self reported physical activity of older adults: intensity, muscle strength, turning actions and mechanical strain. Methods Physical activity was assessed by the validated LAPAQ questionnaire among 1699 older adults of the Longitudinal Aging Study Amsterdam. Based on expert consultation and literature review, the four component scores for several individual daily and sports activities were developed. Factor analysis was performed to confirm whether the developed components indeed measured different constructs of physical activity. Results Based on the factor analyses, three components were distinguished: 1. intensity and muscle strength loaded on the same factor, 2. mechanical strain and 3. turning actions. Analyses in gender, age and activity level subgroups consistently distinguished three factors. Conclusion Future research using these components may contribute to our understanding of how specific daily and sports activities may have a different influence on health and physical functioning in old age.
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- 2010
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9. Correction to: A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.
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van der Lee, Sven J, Conway, Olivia J, Jansen, Iris, Carrasquillo, Minerva M, Kleineidam, Luca, van den Akker, Erik, Hernández, Isabel, van Eijk, Kristel R, Stringa, Najada, Chen, Jason A, Zettergren, Anna, Andlauer, Till FM, Diez-Fairen, Monica, Simon-Sanchez, Javier, Lleó, Alberto, Zetterberg, Henrik, Nygaard, Marianne, Blauwendraat, Cornelis, Savage, Jeanne E, Mengel-From, Jonas, Moreno-Grau, Sonia, Wagner, Michael, Fortea, Juan, Keogh, Michael J, Blennow, Kaj, Skoog, Ingmar, Friese, Manuel A, Pletnikova, Olga, Zulaica, Miren, Lage, Carmen, de Rojas, Itziar, Riedel-Heller, Steffi, Illán-Gala, Ignacio, Wei, Wei, Jeune, Bernard, Orellana, Adelina, Then Bergh, Florian, Wang, Xue, Hulsman, Marc, Beker, Nina, Tesi, Niccolo, Morris, Christopher M, Indakoetxea, Begoña, Collij, Lyduine E, Scherer, Martin, Morenas-Rodríguez, Estrella, Ironside, James W, van Berckel, Bart NM, Alcolea, Daniel, Wiendl, Heinz, Strickland, Samantha L, Pastor, Pau, Rodríguez Rodríguez, Eloy, DESGESCO (Dementia Genetics Spanish Consortium), EADB (Alzheimer Disease European DNA biobank), IFGC (International FTD-Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), RiMod-FTD (Risk and Modifying factors in Fronto-Temporal Dementia), Netherlands Brain Bank (NBB), Boeve, Bradley F, Petersen, Ronald C, Ferman, Tanis J, van Gerpen, Jay A, Reinders, Marcel JT, Uitti, Ryan J, Tárraga, Lluís, Maier, Wolfgang, Dols-Icardo, Oriol, Kawalia, Amit, Dalmasso, Maria Carolina, Boada, Mercè, Zettl, Uwe K, van Schoor, Natasja M, Beekman, Marian, Allen, Mariet, Masliah, Eliezer, de Munain, Adolfo López, Pantelyat, Alexander, Wszolek, Zbigniew K, Ross, Owen A, Dickson, Dennis W, Graff-Radford, Neill R, Knopman, David, Rademakers, Rosa, Lemstra, Afina W, Pijnenburg, Yolande AL, Scheltens, Philip, Gasser, Thomas, Chinnery, Patrick F, Hemmer, Bernhard, Huisman, Martijn A, Troncoso, Juan, Moreno, Fermin, Nohr, Ellen A, Sørensen, Thorkild IA, Heutink, Peter, Sánchez-Juan, Pascual, Posthuma, Danielle, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, and Clarimón, Jordi
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DESGESCO ,EADB ,IFGC ,IPDGC ,RiMod-FTD ,Netherlands Brain Bank ,GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group ,Acquired Cognitive Impairment ,Brain Disorders ,Neurodegenerative ,Alzheimer's Disease ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurosciences ,Aging ,Parkinson's Disease ,Genetics ,2.1 Biological and endogenous factors ,Neurological ,Neurology & Neurosurgery ,Clinical Sciences - Abstract
The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.
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- 2020
10. A saturated map of common genetic variants associated with human height
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Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.
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- 2022
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11. Detecting SNPs with interactive effects on a quantitative trait
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Rauschenberger, Armin, Menezes, Renee X., van de Wiel, Mark A., van Schoor, Natasja M., and Jonker, Marianne A.
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Statistics - Methodology - Abstract
Here we propose a test to detect effects of single nucleotide polymorphisms (SNPs) on a quantitative trait. Significant SNP-SNP interactions are more difficult to detect than significant SNPs, partly due to the massive amount of SNP-SNP combinations. We propose to move away from testing interaction terms, and move towards testing whether an individual SNP is involved in any interaction. This reduces the multiple testing burden to one test per SNP, and allows for interactions with unobserved factors. Analysing one SNP at a time, we split the individuals into two groups, based on the number of minor alleles. If the quantitative trait differs in mean between the two groups, the SNP has a main effect. If the quantitative trait differs in distribution between some individuals in one group and all other individuals, it possibly has an interactive effect. We propose a mixture test to detect both types of effects. Implicitly, the membership probabilities may suggest potential interacting variables. Analysing simulated and experimental data, we show that the proposed test is statistically powerful, maintains the type I error rate, and detects meaningful signals. The R package semisup is available from Bioconductor.
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- 2018
12. A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.
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van der Lee, Sven J, Conway, Olivia J, Jansen, Iris, Carrasquillo, Minerva M, Kleineidam, Luca, van den Akker, Erik, Hernández, Isabel, van Eijk, Kristel R, Stringa, Najada, Chen, Jason A, Zettergren, Anna, Andlauer, Till FM, Diez-Fairen, Monica, Simon-Sanchez, Javier, Lleó, Alberto, Zetterberg, Henrik, Nygaard, Marianne, Blauwendraat, Cornelis, Savage, Jeanne E, Mengel-From, Jonas, Moreno-Grau, Sonia, Wagner, Michael, Fortea, Juan, Keogh, Michael J, Blennow, Kaj, Skoog, Ingmar, Friese, Manuel A, Pletnikova, Olga, Zulaica, Miren, Lage, Carmen, de Rojas, Itziar, Riedel-Heller, Steffi, Illán-Gala, Ignacio, Wei, Wei, Jeune, Bernard, Orellana, Adelina, Then Bergh, Florian, Wang, Xue, Hulsman, Marc, Beker, Nina, Tesi, Niccolo, Morris, Christopher M, Indakoetxea, Begoña, Collij, Lyduine E, Scherer, Martin, Morenas-Rodríguez, Estrella, Ironside, James W, van Berckel, Bart NM, Alcolea, Daniel, Wiendl, Heinz, Strickland, Samantha L, Pastor, Pau, Rodríguez Rodríguez, Eloy, DESGESCO (Dementia Genetics Spanish Consortium), EADB (Alzheimer Disease European DNA biobank), EADB (Alzheimer Disease European DNA biobank), IFGC (International FTD-Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), IPDGC (The International Parkinson Disease Genomics Consortium), RiMod-FTD (Risk and Modifying factors in Fronto-Temporal Dementia), Netherlands Brain Bank (NBB), Boeve, Bradley F, Petersen, Ronald C, Ferman, Tanis J, van Gerpen, Jay A, Reinders, Marcel JT, Uitti, Ryan J, Tárraga, Lluís, Maier, Wolfgang, Dols-Icardo, Oriol, Kawalia, Amit, Dalmasso, Maria Carolina, Boada, Mercè, Zettl, Uwe K, van Schoor, Natasja M, Beekman, Marian, Allen, Mariet, Masliah, Eliezer, de Munain, Adolfo López, Pantelyat, Alexander, Wszolek, Zbigniew K, Ross, Owen A, Dickson, Dennis W, Graff-Radford, Neill R, Knopman, David, Rademakers, Rosa, Lemstra, Afina W, Pijnenburg, Yolande AL, Scheltens, Philip, Gasser, Thomas, Chinnery, Patrick F, Hemmer, Bernhard, Huisman, Martijn A, Troncoso, Juan, Moreno, Fermin, Nohr, Ellen A, Sørensen, Thorkild IA, Heutink, Peter, Sánchez-Juan, Pascual, Posthuma, Danielle, GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, and Clarimón, Jordi
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DESGESCO (Dementia Genetics Spanish Consortium) ,EADB ,EADB ,IFGC (International FTD-Genomics Consortium) ,IPDGC ,IPDGC ,RiMod-FTD ,Netherlands Brain Bank ,GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group ,Alzheimer’s disease ,Amyotrophic lateral sclerosis ,Dementia with Lewy bodies ,Frontotemporal dementia ,Longevity ,Multiple sclerosis ,Neurodegenerative disease ,PLCG2 ,Parkinson’s disease ,Phospholipase C Gamma 2 ,Progressive supranuclear palsy ,Alzheimer's disease ,Parkinson's disease ,Alzheimer's Disease ,frontotemporal dementia ,dementia with Lewy-bodies ,progressive suprauclear palsy ,Parkinson's Disease ,amyotrophic lateral sclerosis ,multiple sclerosis ,neurodegenerative disease ,longevity ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Abstract
The genetic variant rs72824905-G (minor allele) in the PLCG2 gene was previously associated with a reduced Alzheimer's disease risk (AD). The role of PLCG2 in immune system signaling suggests it may also protect against other neurodegenerative diseases and possibly associates with longevity. We studied the effect of the rs72824905-G on seven neurodegenerative diseases and longevity, using 53,627 patients, 3,516 long-lived individuals and 149,290 study-matched controls. We replicated the association of rs72824905-G with reduced AD risk and we found an association with reduced risk of dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). We did not find evidence for an effect on Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) risks, despite adequate sample sizes. Conversely, the rs72824905-G allele was associated with increased likelihood of longevity. By-proxy analyses in the UK Biobank supported the associations with both dementia and longevity. Concluding, rs72824905-G has a protective effect against multiple neurodegenerative diseases indicating shared aspects of disease etiology. Our findings merit studying the PLCγ2 pathway as drug-target.
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- 2019
13. Protocol paper: a multi-center, double-blinded, randomized, 6-month, placebo-controlled study followed by 12-month open label extension to evaluate the safety and efficacy of Saracatinib in Fibrodysplasia Ossificans Progressiva (STOPFOP)
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Smilde, Bernard J., Stockklausner, Clemens, Keen, Richard, Whittaker, Andrew, Bullock, Alex N., von Delft, Annette, van Schoor, Natasja M., Yu, Paul B., and Eekhoff, E. Marelise W.
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- 2022
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14. Physical activity as a risk or protective factor for falls and fall-related fractures in non-frail and frail older adults: a longitudinal study
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van Gameren, Maaike, Hoogendijk, Emiel O., van Schoor, Natasja M., Bossen, Daniël, Visser, Bart, Bosmans, Judith E., and Pijnappels, Mirjam
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- 2022
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15. Predictors of resilience in older adults with lower limb osteoarthritis and persistent severe pain
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van Schoor, Natasja M., Timmermans, Erik J., Huisman, Martijn, Gutiérrez-Misis, Alicia, Lems, Willem, Dennison, Elaine M., Castell, Maria Victoria, Denkinger, Michael D., Pedersen, Nancy L., Maggi, Stefania, and Deeg, Dorly J. H.
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- 2022
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16. Development of the ADFICE_IT clinical decision support system to assist deprescribing of fall-risk increasing drugs: A user-centered design approach.
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Groos, Sara S., de Wildt, Kelly K., van de Loo, Bob, Linn, Annemiek J., Medlock, Stephanie, Shaw, Kendrick M., Herman, Eric K., Seppala, Lotta J., Ploegmakers, Kim J., van Schoor, Natasja M., van Weert, Julia C. M., and van der Velde, Nathalie
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CLINICAL decision support systems ,ELECTRONIC health records ,DEPRESCRIBING ,WEBSITES ,MEDICATION therapy management - Abstract
Introduction: Deprescribing fall-risk increasing drugs (FRIDs) is promising for reducing the risk of falling in older adults. Applying appropriate deprescribing in practice can be difficult due to the outcome uncertainties associated with stopping FRIDs. The ADFICE_IT intervention addresses this complexity with a clinical decision support system (CDSS) that facilitates optimum deprescribing of FRIDs by using a fall-risk prediction model, aggregation of deprescribing guidelines, and joint medication management. Methods: The development process of the CDSS is described in this paper. Development followed a user-centered design approach in which users and experts were involved throughout each phase. In phase I, a prototype of the CDSS was developed which involved a literature and systematic review, European survey (n = 581), and semi-structured interviews with clinicians (n = 19), as well as the aggregation and testing of deprescribing guidelines and the development of the fall-risk prediction model. In phase II, the feasibility of the CDSS was tested by means of two usability testing rounds with users (n = 11). Results: The final CDSS consists of five web pages. A connection between the Electronic Health Record allows for the retrieval of patient data into the CDSS. Key design requirements for the CDSS include easy-to-use features for fast-paced clinical environments, actionable deprescribing recommendations, information transparency, and visualization of the patient's fall-risk estimation. Key elements for the software include a modular architecture, open source, and good security. Conclusion: The ADFICE_IT CDSS supports physicians in deprescribing FRIDs optimally to prevent falls in older patients. Due to continuous user and expert involvement, each new feedback round led to an improved version of the system. Currently, a cluster-randomized controlled trial with process evaluation at hospitals in the Netherlands is being conducted to test the effect of the CDSS on falls. The trial is registered with ClinicalTrials.gov (date; 7-7-2022, identifier: NCT05449470). [ABSTRACT FROM AUTHOR]
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- 2024
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17. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels
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Jiang, Xia, O’Reilly, Paul F, Aschard, Hugues, Hsu, Yi-Hsiang, Richards, J Brent, Dupuis, Josée, Ingelsson, Erik, Karasik, David, Pilz, Stefan, Berry, Diane, Kestenbaum, Bryan, Zheng, Jusheng, Luan, Jianan, Sofianopoulou, Eleni, Streeten, Elizabeth A, Albanes, Demetrius, Lutsey, Pamela L, Yao, Lu, Tang, Weihong, Econs, Michael J, Wallaschofski, Henri, Völzke, Henry, Zhou, Ang, Power, Chris, McCarthy, Mark I, Michos, Erin D, Boerwinkle, Eric, Weinstein, Stephanie J, Freedman, Neal D, Huang, Wen-Yi, Van Schoor, Natasja M, van der Velde, Nathalie, Groot, Lisette CPGM de, Enneman, Anke, Cupples, L Adrienne, Booth, Sarah L, Vasan, Ramachandran S, Liu, Ching-Ti, Zhou, Yanhua, Ripatti, Samuli, Ohlsson, Claes, Vandenput, Liesbeth, Lorentzon, Mattias, Eriksson, Johan G, Shea, M Kyla, Houston, Denise K, Kritchevsky, Stephen B, Liu, Yongmei, Lohman, Kurt K, Ferrucci, Luigi, Peacock, Munro, Gieger, Christian, Beekman, Marian, Slagboom, Eline, Deelen, Joris, Heemst, Diana van, Kleber, Marcus E, März, Winfried, de Boer, Ian H, Wood, Alexis C, Rotter, Jerome I, Rich, Stephen S, Robinson-Cohen, Cassianne, den Heijer, Martin, Jarvelin, Marjo-Riitta, Cavadino, Alana, Joshi, Peter K, Wilson, James F, Hayward, Caroline, Lind, Lars, Michaëlsson, Karl, Trompet, Stella, Zillikens, M Carola, Uitterlinden, Andre G, Rivadeneira, Fernando, Broer, Linda, Zgaga, Lina, Campbell, Harry, Theodoratou, Evropi, Farrington, Susan M, Timofeeva, Maria, Dunlop, Malcolm G, Valdes, Ana M, Tikkanen, Emmi, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Kähönen, Mika, Raitakari, Olli T, Mikkilä, Vera, Ikram, M Arfan, Sattar, Naveed, Jukema, J Wouter, Wareham, Nicholas J, Langenberg, Claudia, Forouhi, Nita G, Gundersen, Thomas E, Khaw, Kay-Tee, Butterworth, Adam S, Danesh, John, and Spector, Timothy
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Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Human Genome ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Inflammatory and immune system ,Amidohydrolases ,Autoimmune Diseases ,Cohort Studies ,Female ,Genome-Wide Association Study ,Humans ,Male ,Polymorphism ,Single Nucleotide ,Vesicular Transport Proteins ,Vitamin D ,White People - Abstract
Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7×10-9 at rs8018720 in SEC23A, and P = 1.9×10-14 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5%, with statistically significant loci explaining 38% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene-gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.
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- 2018
18. Low-Frequency Synonymous Coding Variation in CYP2R1 Has Large Effects on Vitamin D Levels and Risk of Multiple Sclerosis
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Manousaki, Despoina, Dudding, Tom, Haworth, Simon, Hsu, Yi-Hsiang, Liu, Ching-Ti, Medina-Gómez, Carolina, Voortman, Trudy, van der Velde, Nathalie, Melhus, Håkan, Robinson-Cohen, Cassianne, Cousminer, Diana L, Nethander, Maria, Vandenput, Liesbeth, Noordam, Raymond, Forgetta, Vincenzo, Greenwood, Celia MT, Biggs, Mary L, Psaty, Bruce M, Rotter, Jerome I, Zemel, Babette S, Mitchell, Jonathan A, Taylor, Bruce, Lorentzon, Mattias, Karlsson, Magnus, Jaddoe, Vincent VW, Tiemeier, Henning, Campos-Obando, Natalia, Franco, Oscar H, Utterlinden, Andre G, Broer, Linda, van Schoor, Natasja M, Ham, Annelies C, Ikram, M Arfan, Karasik, David, de Mutsert, Renée, Rosendaal, Frits R, Heijer, Martin den, Wang, Thomas J, Lind, Lars, Orwoll, Eric S, Mook-Kanamori, Dennis O, Michaëlsson, Karl, Kestenbaum, Bryan, Ohlsson, Claes, Mellström, Dan, de Groot, Lisette CPGM, Grant, Struan FA, Kiel, Douglas P, Zillikens, M Carola, Rivadeneira, Fernando, Sawcer, Stephen, Timpson, Nicholas J, and Richards, J Brent
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Biological Sciences ,Health Sciences ,Genetics ,Prevention ,Multiple Sclerosis ,Nutrition ,Autoimmune Disease ,Neurodegenerative ,Human Genome ,Neurosciences ,Brain Disorders ,2.1 Biological and endogenous factors ,Neurological ,Cholestanetriol 26-Monooxygenase ,Cytochrome P450 Family 2 ,Gene Frequency ,Genetic Predisposition to Disease ,Genome ,Human ,Genome-Wide Association Study ,Humans ,Polymorphism ,Single Nucleotide ,Risk Factors ,Vitamin D ,Vitamin D Deficiency ,GWAS ,low-frequency genetic variants ,multiple sclerosis ,vitamin D ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Vitamin D insufficiency is common, correctable, and influenced by genetic factors, and it has been associated with risk of several diseases. We sought to identify low-frequency genetic variants that strongly increase the risk of vitamin D insufficiency and tested their effect on risk of multiple sclerosis, a disease influenced by low vitamin D concentrations. We used whole-genome sequencing data from 2,619 individuals through the UK10K program and deep-imputation data from 39,655 individuals genotyped genome-wide. Meta-analysis of the summary statistics from 19 cohorts identified in CYP2R1 the low-frequency (minor allele frequency = 2.5%) synonymous coding variant g.14900931G>A (p.Asp120Asp) (rs117913124[A]), which conferred a large effect on 25-hydroxyvitamin D (25OHD) levels (-0.43 SD of standardized natural log-transformed 25OHD per A allele; p value = 1.5 × 10-88). The effect on 25OHD was four times larger and independent of the effect of a previously described common variant near CYP2R1. By analyzing 8,711 individuals, we showed that heterozygote carriers of this low-frequency variant have an increased risk of vitamin D insufficiency (odds ratio [OR] = 2.2, 95% confidence interval [CI] = 1.78-2.78, p = 1.26 × 10-12). Individuals carrying one copy of this variant also had increased odds of multiple sclerosis (OR = 1.4, 95% CI = 1.19-1.64, p = 2.63 × 10-5) in a sample of 5,927 case and 5,599 control subjects. In conclusion, we describe a low-frequency CYP2R1 coding variant that exerts the largest effect upon 25OHD levels identified to date in the general European population and implicates vitamin D in the etiology of multiple sclerosis.
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- 2017
19. Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models
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Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Planetary Health & Exposoom, Cancer, Ohanyan, Haykanush, van de Wiel, Mark, Portengen, Lützen, Wagtendonk, Alfred, Den Braver, Nicolette R., de Jong, Trynke R., Verschuren, Monique, van den Hurk, Katja, Stronks, Karien, van Charante, Eric Moll, van Schoor, Natasja M., Stehouwer, Coen D.A., Wesselius, Anke, Koster, Annemarie, Have, Margreet Ten, Penninx, Brenda W.J.H., van Wier, Marieke F., Motoc, Irina, Oldehinkel, Albertine J., Willemsen, Gonneke, Boomsma, Dorret I., Beenackers, Mariëlle A., Huss, Anke, van Boxtel, Martin, Hoek, Gerard, Beulens, Joline W.J., Vermeulen, Roel, Lakerveld, Jeroen, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Planetary Health & Exposoom, Cancer, Ohanyan, Haykanush, van de Wiel, Mark, Portengen, Lützen, Wagtendonk, Alfred, Den Braver, Nicolette R., de Jong, Trynke R., Verschuren, Monique, van den Hurk, Katja, Stronks, Karien, van Charante, Eric Moll, van Schoor, Natasja M., Stehouwer, Coen D.A., Wesselius, Anke, Koster, Annemarie, Have, Margreet Ten, Penninx, Brenda W.J.H., van Wier, Marieke F., Motoc, Irina, Oldehinkel, Albertine J., Willemsen, Gonneke, Boomsma, Dorret I., Beenackers, Mariëlle A., Huss, Anke, van Boxtel, Martin, Hoek, Gerard, Beulens, Joline W.J., Vermeulen, Roel, and Lakerveld, Jeroen
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- 2024
20. Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models
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Ohanyan, Haykanush, van de Wiel, Mark, Portengen, Lützen, Wagtendonk, Alfred, den Braver, Nicolette R., de Jong, Trynke R., Verschuren, Monique, van den Hurk, Katja, Stronks, Karien, Moll van Charante, Eric, van Schoor, Natasja M., Stehouwer, Coen D.A., Wesselius, Anke, Koster, Annemarie, Ten Have, Margreet, Penninx, Brenda W.J.H., van Wier, Marieke F., Motoc, Irina, Oldehinkel, Albertine J., Willemsen, Gonneke, Boomsma, Dorret I., Beenackers, Mariëlle A., Huss, Anke, van Boxtel, Martin, Hoek, Gerard, Beulens, Joline W.J., Vermeulen, Roel, Lakerveld, Jeroen, Ohanyan, Haykanush, van de Wiel, Mark, Portengen, Lützen, Wagtendonk, Alfred, den Braver, Nicolette R., de Jong, Trynke R., Verschuren, Monique, van den Hurk, Katja, Stronks, Karien, Moll van Charante, Eric, van Schoor, Natasja M., Stehouwer, Coen D.A., Wesselius, Anke, Koster, Annemarie, Ten Have, Margreet, Penninx, Brenda W.J.H., van Wier, Marieke F., Motoc, Irina, Oldehinkel, Albertine J., Willemsen, Gonneke, Boomsma, Dorret I., Beenackers, Mariëlle A., Huss, Anke, van Boxtel, Martin, Hoek, Gerard, Beulens, Joline W.J., Vermeulen, Roel, and Lakerveld, Jeroen
- Abstract
BACKGROUND: Overweight and obesity impose a considerable individual and social burden, and the urban environments might encompass factors that contribute to obesity. Nevertheless, there is a scarcity of research that takes into account the simultaneous interaction of multiple environmental factors. OBJECTIVES: Our objective was to perform an exposome-wide association study of body mass index (BMI) in a multicohort setting of 15 studies. METHODS: Studies were affiliated with the Dutch Geoscience and Health Cohort Consortium (GECCO), had different population sizes (688–141,825), and covered the entire Netherlands. Ten studies contained general population samples, others focused on specific populations including people with diabetes or impaired hearing. BMI was calculated from self-reported or measured height and weight. Associations with 69 residential neighborhood environmental factors (air pollution, noise, temperature, neighborhood socioeconomic and demographic factors, food environment, drivability, and walkability) were explored. Random forest (RF) regression addressed potential nonlinear and nonadditive associations. In the absence of formal methods for multimodel inference for RF, a rank aggregation-based meta-analytic strategy was used to summarize the results across the studies. RESULTS: Six exposures were associated with BMI: five indicating neighborhood economic or social environments (average home values, percentage of high-income residents, average income, livability score, share of single residents) and one indicating the physical activity environment (walkability in 5-km buffer area). Living in high-income neighborhoods and neighborhoods with higher livability scores was associated with lower BMI. Nonlinear associations were observed with neighborhood home values in all studies. Lower neighborhood home values were associated with higher BMI scores but only for values up to e300,000. The directions of associations were less consistent for walkability
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- 2024
21. A meta-analysis of previous falls and subsequent fracture risk in cohort studies
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Vandenput, Liesbeth, Johansson, Helena, McCloskey, Eugene V., Liu, Enwu, Schini, Marian, Åkesson, Kristina E., Anderson, Fred A., Azagra, Rafael, Bager, Cecilie L., Beaudart, Charlotte, Bischoff-Ferrari, Heike A., Biver, Emmanuel, Bruyère, Olivier, Cauley, Jane A., Center, Jacqueline R., Chapurlat, Roland, Christiansen, Claus, Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven R., da Silva, José A. P., Dawson-Hughes, Bess, Diez-Perez, Adolfo, Dufour, Alyssa B., Eisman, John A., Elders, Petra J. M., Ferrari, Serge, Fujita, Yuki, Fujiwara, Saeko, Glüer, Claus-Christian, Goldshtein, Inbal, Goltzman, David, Gudnason, Vilmundur, Hall, Jill, Hans, Didier, Hoff, Mari, Hollick, Rosemary J., Huisman, Martijn, Iki, Masayuki, Ish-Shalom, Sophia, Jones, Graeme, Karlsson, Magnus K., Khosla, Sundeep, Kiel, Douglas P., Koh, Woon-Puay, Koromani, Fjorda, Kotowicz, Mark A., Kröger, Heikki, Kwok, Timothy, Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, McGuigan, Fiona E. A., Mellstrom, Dan, Merlijn, Thomas, Nguyen, Tuan V., Nordström, Anna, Nordström, Peter, O'Neill, Terence W., Obermayer-Pietsch, Barbara, Ohlsson, Claes, Orwoll, Eric S., Pasco, Julie A., Rivadeneira, Fernando, Schott, Anne-Marie, Shiroma, Eric J., Siggeirsdottir, Kristin, Simonsick, Eleanor M., Sornay-Rendu, Elisabeth, Sund, Reijo, Swart, Karin M. A., Szulc, Pawel, Tamaki, Junko, Torgerson, David J., van Schoor, Natasja M., van Staa, Tjeerd P., Vila, Joan, Wareham, Nicholas J., Wright, Nicole C., Yoshimura, Noriko, Zillikens, MCarola, Zwart, Marta, Harvey, Nicholas C., Lorentzon, Mattias, Leslie, William D., Kanis, John A., Vandenput, Liesbeth, Johansson, Helena, McCloskey, Eugene V., Liu, Enwu, Schini, Marian, Åkesson, Kristina E., Anderson, Fred A., Azagra, Rafael, Bager, Cecilie L., Beaudart, Charlotte, Bischoff-Ferrari, Heike A., Biver, Emmanuel, Bruyère, Olivier, Cauley, Jane A., Center, Jacqueline R., Chapurlat, Roland, Christiansen, Claus, Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven R., da Silva, José A. P., Dawson-Hughes, Bess, Diez-Perez, Adolfo, Dufour, Alyssa B., Eisman, John A., Elders, Petra J. M., Ferrari, Serge, Fujita, Yuki, Fujiwara, Saeko, Glüer, Claus-Christian, Goldshtein, Inbal, Goltzman, David, Gudnason, Vilmundur, Hall, Jill, Hans, Didier, Hoff, Mari, Hollick, Rosemary J., Huisman, Martijn, Iki, Masayuki, Ish-Shalom, Sophia, Jones, Graeme, Karlsson, Magnus K., Khosla, Sundeep, Kiel, Douglas P., Koh, Woon-Puay, Koromani, Fjorda, Kotowicz, Mark A., Kröger, Heikki, Kwok, Timothy, Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, McGuigan, Fiona E. A., Mellstrom, Dan, Merlijn, Thomas, Nguyen, Tuan V., Nordström, Anna, Nordström, Peter, O'Neill, Terence W., Obermayer-Pietsch, Barbara, Ohlsson, Claes, Orwoll, Eric S., Pasco, Julie A., Rivadeneira, Fernando, Schott, Anne-Marie, Shiroma, Eric J., Siggeirsdottir, Kristin, Simonsick, Eleanor M., Sornay-Rendu, Elisabeth, Sund, Reijo, Swart, Karin M. A., Szulc, Pawel, Tamaki, Junko, Torgerson, David J., van Schoor, Natasja M., van Staa, Tjeerd P., Vila, Joan, Wareham, Nicholas J., Wright, Nicole C., Yoshimura, Noriko, Zillikens, MCarola, Zwart, Marta, Harvey, Nicholas C., Lorentzon, Mattias, Leslie, William D., and Kanis, John A.
- Abstract
Summary The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. Introduction Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). Methods The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. Results Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33–1.51) and men (HR 1.53, 95% CI 1.41–1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27–1.84) in men vs. HR 1.32 (95
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- 2024
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22. Cognitively healthy centenarians are genetically protected against Alzheimer's disease.
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Tesi, Niccolo', van der Lee, Sven, Hulsman, Marc, van Schoor, Natasja M., Huisman, Martijn, Pijnenburg, Yolande, van der Flier, Wiesje M., Reinders, Marcel, and Holstege, Henne
- Abstract
BACKGROUND: Alzheimer's disease (AD) prevalence increases with age, yet a small fraction of the population reaches ages > 100 years without cognitive decline. We studied the genetic factors associated with such resilience against AD. METHODS: Genome‐wide association studies identified 86 single nucleotide polymorphisms (SNPs) associated with AD risk. We estimated SNP frequency in 2281 AD cases, 3165 age‐matched controls, and 346 cognitively healthy centenarians. We calculated a polygenic risk score (PRS) for each individual and investigated the functional properties of SNPs enriched/depleted in centenarians. RESULTS: Cognitively healthy centenarians were enriched with the protective alleles of the SNPs associated with AD risk. The protective effect concentrated on the alleles in/near ANKH, GRN, TMEM106B, SORT1, PLCG2, RIN3, and APOE genes. This translated to >5‐fold lower PRS in centenarians compared to AD cases (P = 7.69 × 10−71), and 2‐fold lower compared to age‐matched controls (P = 5.83 × 10−17). DISCUSSION: Maintaining cognitive health until extreme ages requires complex genetic protection against AD, which concentrates on the genes associated with the endolysosomal and immune systems. Highlights: Cognitively healthy cent enarians are enriched with the protective alleles of genetic variants associated with Alzheimer's disease (AD).The protective effect is concentrated on variants involved in the immune and endolysosomal systems.Combining variants into a polygenic risk score (PRS) translated to > 5‐fold lower PRS in centenarians compared to AD cases, and ≈ 2‐fold lower compared to middle‐aged healthy controls. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
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de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín
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- 2021
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24. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women
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Jones, Garan, Trajanoska, Katerina, Santanasto, Adam J., Stringa, Najada, Kuo, Chia-Ling, Atkins, Janice L., Lewis, Joshua R., Duong, ThuyVy, Hong, Shengjun, Biggs, Mary L., Luan, Jian’an, Sarnowski, Chloe, Lunetta, Kathryn L., Tanaka, Toshiko, Wojczynski, Mary K., Cvejkus, Ryan, Nethander, Maria, Ghasemi, Sahar, Yang, Jingyun, Zillikens, M. Carola, Walter, Stefan, Sicinski, Kamil, Kague, Erika, Ackert-Bicknell, Cheryl L., Arking, Dan E., Windham, B. Gwen, Boerwinkle, Eric, Grove, Megan L., Graff, Misa, Spira, Dominik, Demuth, Ilja, van der Velde, Nathalie, de Groot, Lisette C. P. G. M., Psaty, Bruce M., Odden, Michelle C., Fohner, Alison E., Langenberg, Claudia, Wareham, Nicholas J., Bandinelli, Stefania, van Schoor, Natasja M., Huisman, Martijn, Tan, Qihua, Zmuda, Joseph, Mellström, Dan, Karlsson, Magnus, Bennett, David A., Buchman, Aron S., De Jager, Philip L., Uitterlinden, Andre G., Völker, Uwe, Kocher, Thomas, Teumer, Alexander, Rodriguéz-Mañas, Leocadio, García, Francisco J., Carnicero, José A., Herd, Pamela, Bertram, Lars, Ohlsson, Claes, Murabito, Joanne M., Melzer, David, Kuchel, George A., Ferrucci, Luigi, Karasik, David, Rivadeneira, Fernando, Kiel, Douglas P., and Pilling, Luke C.
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- 2021
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25. Genome-wide association study of frontotemporal dementia identifies a C9ORF72 haplotype with a median of 12-G4C2 repeats that predisposes to pathological repeat expansions
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Reus, Lianne M., Jansen, Iris E., Mol, Merel O., van Ruissen, Fred, van Rooij, Jeroen, van Schoor, Natasja M., Tesi, Niccolò, Reinders, Marcel J. T., Huisman, Martijn A., Holstege, Henne, Visser, Pieter Jelle, de Boer, Sterre C. M., Hulsman, Marc, Ahmad, Shahzad, Amin, Najaf, Uitterlinden, Andre G., Ikram, Arfan, van Duijn, Cornelia M., Seelaar, Harro, Ramakers, Inez H. G. B., Verhey, Frans R. J., van der Lugt, Aad, Claassen, Jurgen A. H. R., Jan Biessels, Geert, De Deyn, Peter Paul, Scheltens, Philip, van der Flier, Wiesje M., van Swieten, John C., Pijnenburg, Yolande A. L., and van der Lee, Sven J.
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- 2021
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26. Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture
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Zheng, Hou‐Feng, Forgetta, Vincenzo, Hsu, Yi‐Hsiang, Estrada, Karol, Rosello‐Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park‐Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching‐Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson‐Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen‐Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia‐Ho, Cheung, Warren, Medina‐Gómez, Carolina, Ge, Bing, Chen, Shu‐Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia‐Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, and Arp, Pascal P
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Biological Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Genetics ,Human Genome ,Biotechnology ,Osteoporosis ,Stem Cell Research ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Aetiology ,Underpinning research ,Musculoskeletal ,Injuries and accidents ,Animals ,Bone Density ,Bone and Bones ,Disease Models ,Animal ,Europe ,Exome ,Female ,Fractures ,Bone ,Gene Frequency ,Genetic Predisposition to Disease ,Genetic Variation ,Genome ,Human ,Genomics ,Genotype ,Homeodomain Proteins ,Humans ,Mice ,Sequence Analysis ,DNA ,White People ,Wnt Proteins ,AOGC Consortium ,UK10K Consortium ,General Science & Technology - Abstract
The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.
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- 2015
27. Changes in physical performance according to job demands across three cohorts of older workers in the Longitudinal Aging Study Amsterdam
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von Bonsdorff, Mikaela B., Munukka, Matti, van Schoor, Natasja M., von Bonsdorff, Monika E., Kortelainen, Lauri, Deeg, Dorly J. H., de Breij, Sascha, Epidemiology and Data Science, APH - Aging & Later Life, APH - Personalized Medicine, and APH - Societal Participation & Health
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suorituskyky ,psychosocial job demands ,physical job demands ,physical performance ,psykososiaaliset tekijät ,muutos ,työ ,fyysinen kunto ,ikääntyminen ,ageing ,cohort study ,ikääntyvät työntekijät ,kohorttitutkimus ,vaatimukset - Abstract
This study set out to evaluate the association between job demands at baseline and physical performance over a six-year period across three cohorts of older Dutch workers examined 10 years apart. Data were drawn from three cohorts (1992–1999, 2002–2009 and 2012–2019) of the Longitudinal Aging Study Amsterdam. Individuals aged 55–65 years from each cohort who worked for pay were included (n = 274, n = 416, n = 618, respectively). Physical performance was measured using gait speed and chair stand performance. A population-based job exposure matrix was used to indicate levels of exposure probability of physical (use of force and repetitive movements) and psychosocial (cognitive demands and time pressure) job demands. We found that psychosocial job demands increased and physical demands decreased across the three cohorts. No between cohort differences were found for how job demands affected changes in physical performance over follow-up. For men, faster decline in gait speed was observed when comparing higher and lower use of force at baseline (β −0.012, 95% CI −0.021, −0.004). Greater use of force and repetitive movements were associated with faster decline in chair stand performance (β −0.012, 95% CI −0.020, −0.004 and β −0.009, 95% CI −0.017, −0.001, respectively). In women, no association of job demands on change in physical performance was observed. The study concluded that higher physical job demands were associated with stronger decline in physical performance across six years for men in all cohorts, while no associations were found among women. peerReviewed
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- 2023
28. Genetic determinants of heel bone properties: genome-wide association meta-analysis and replication in the GEFOS/GENOMOS consortium.
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Moayyeri, Alireza, Hsu, Yi-Hsiang, Karasik, David, Estrada, Karol, Xiao, Su-Mei, Nielson, Carrie, Srikanth, Priya, Giroux, Sylvie, Wilson, Scott G, Zheng, Hou-Feng, Smith, Albert V, Pye, Stephen R, Leo, Paul J, Teumer, Alexander, Hwang, Joo-Yeon, Ohlsson, Claes, McGuigan, Fiona, Minster, Ryan L, Hayward, Caroline, Olmos, José M, Lyytikäinen, Leo-Pekka, Lewis, Joshua R, Swart, Karin MA, Masi, Laura, Oldmeadow, Chris, Holliday, Elizabeth G, Cheng, Sulin, van Schoor, Natasja M, Harvey, Nicholas C, Kruk, Marcin, del Greco M, Fabiola, Igl, Wilmar, Trummer, Olivia, Grigoriou, Efi, Luben, Robert, Liu, Ching-Ti, Zhou, Yanhua, Oei, Ling, Medina-Gomez, Carolina, Zmuda, Joseph, Tranah, Greg, Brown, Suzanne J, Williams, Frances M, Soranzo, Nicole, Jakobsdottir, Johanna, Siggeirsdottir, Kristin, Holliday, Kate L, Hannemann, Anke, Go, Min Jin, Garcia, Melissa, Polasek, Ozren, Laaksonen, Marika, Zhu, Kun, Enneman, Anke W, McEvoy, Mark, Peel, Roseanne, Sham, Pak Chung, Jaworski, Maciej, Johansson, Åsa, Hicks, Andrew A, Pludowski, Pawel, Scott, Rodney, Dhonukshe-Rutten, Rosalie AM, van der Velde, Nathalie, Kähönen, Mika, Viikari, Jorma S, Sievänen, Harri, Raitakari, Olli T, González-Macías, Jesús, Hernández, Jose L, Mellström, Dan, Ljunggren, Osten, Cho, Yoon Shin, Völker, Uwe, Nauck, Matthias, Homuth, Georg, Völzke, Henry, Haring, Robin, Brown, Matthew A, McCloskey, Eugene, Nicholson, Geoffrey C, Eastell, Richard, Eisman, John A, Jones, Graeme, Reid, Ian R, Dennison, Elaine M, Wark, John, Boonen, Steven, Vanderschueren, Dirk, Wu, Frederick CW, Aspelund, Thor, Richards, J Brent, Bauer, Doug, Hofman, Albert, Khaw, Kay-Tee, Dedoussis, George, Obermayer-Pietsch, Barbara, Gyllensten, Ulf, Pramstaller, Peter P, and Lorenc, Roman S
- Subjects
Calcaneus ,Humans ,Osteoporosis ,Genetic Predisposition to Disease ,Ultrasonography ,Cohort Studies ,Bone Density ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,Male ,Fractures ,Bone ,Genome-Wide Association Study ,Young Adult ,Human Genome ,Genetics ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Musculoskeletal ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Quantitative ultrasound of the heel captures heel bone properties that independently predict fracture risk and, with bone mineral density (BMD) assessed by X-ray (DXA), may be convenient alternatives for evaluating osteoporosis and fracture risk. We performed a meta-analysis of genome-wide association (GWA) studies to assess the genetic determinants of heel broadband ultrasound attenuation (BUA; n = 14 260), velocity of sound (VOS; n = 15 514) and BMD (n = 4566) in 13 discovery cohorts. Independent replication involved seven cohorts with GWA data (in silico n = 11 452) and new genotyping in 15 cohorts (de novo n = 24 902). In combined random effects, meta-analysis of the discovery and replication cohorts, nine single nucleotide polymorphisms (SNPs) had genome-wide significant (P < 5 × 10(-8)) associations with heel bone properties. Alongside SNPs within or near previously identified osteoporosis susceptibility genes including ESR1 (6q25.1: rs4869739, rs3020331, rs2982552), SPTBN1 (2p16.2: rs11898505), RSPO3 (6q22.33: rs7741021), WNT16 (7q31.31: rs2908007), DKK1 (10q21.1: rs7902708) and GPATCH1 (19q13.11: rs10416265), we identified a new locus on chromosome 11q14.2 (rs597319 close to TMEM135, a gene recently linked to osteoblastogenesis and longevity) significantly associated with both BUA and VOS (P < 8.23 × 10(-14)). In meta-analyses involving 25 cohorts with up to 14 985 fracture cases, six of 10 SNPs associated with heel bone properties at P < 5 × 10(-6) also had the expected direction of association with any fracture (P < 0.05), including three SNPs with P < 0.005: 6q22.33 (rs7741021), 7q31.31 (rs2908007) and 10q21.1 (rs7902708). In conclusion, this GWA study reveals the effect of several genes common to central DXA-derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with potential implications for better understanding of osteoporosis pathophysiology.
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- 2014
29. The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults
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Stringa, Najada, primary, van Schoor, Natasja M, additional, Hoogendijk, Emiel O, additional, Milaneschi, Yuri, additional, and Huisman, Martijn, additional
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- 2023
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30. Comparison of the Effect of Daily Vitamin D2 and Vitamin D3 Supplementation on Serum 25-Hydroxyvitamin D Concentration (Total 25(OH)D, 25(OH)D2, and 25(OH)D3) and Importance of Body Mass Index: A Systematic Review and Meta-Analysis
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van den Heuvel, Ellen GHM., primary, Lips, Paul, additional, Schoonmade, Linda J., additional, Lanham-New, Susan A., additional, and van Schoor, Natasja M., additional
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- 2023
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31. Within-Person Pain Variability and Mental Health in Older Adults With Osteoarthritis: An Analysis Across 6 European Cohorts
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Nikolaus, T., Denkinger, M., Peter, R., Herbolsheimer, F., Maggi, S., Zambon, S., Limongi, F., Noale, M., Siviero, P., Deeg, D.J.H., van der Pas, S., van Schoor, N.M., Schaap, L.A., Timmermans, E.J., Lips, P., Otero, Á., Castell, M.V., Sanchez-Martinez, M., Pedersen, N.L., Dennison, E.M., Cooper, C., Edwards, M.H., de Koning, Elisa J., Timmermans, Erik J., van Schoor, Natasja M., Stubbs, Brendon, van den Kommer, Tessa N., Dennison, Elaine M., Limongi, Federica, Castell, Maria Victoria, Edwards, Mark H., Queipo, Rocio, Cooper, Cyrus, Siviero, Paola, van der Pas, Suzan, Pedersen, Nancy L., Sánchez-Martínez, Mercedes, Deeg, Dorly J.H., and Denkinger, Michael D.
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- 2018
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32. Bone mineral density loci specific to the skull portray potential pleiotropic effects on craniosynostosis
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Medina-Gomez, Carolina, primary, Mullin, Benjamin H., additional, Chesi, Alessandra, additional, Prijatelj, Vid, additional, Kemp, John P., additional, Shochat-Carvalho, Chen, additional, Trajanoska, Katerina, additional, Wang, Carol, additional, Joro, Raimo, additional, Evans, Tavia E., additional, Schraut, Katharina E., additional, Li-Gao, Ruifang, additional, Ahluwalia, Tarunveer S., additional, Zillikens, M. Carola, additional, Zhu, Kun, additional, Mook-Kanamori, Dennis O., additional, Evans, Daniel S., additional, Nethander, Maria, additional, Knol, Maria J., additional, Thorleifsson, Gudmar, additional, Prokic, Ivana, additional, Zemel, Babette, additional, Broer, Linda, additional, McGuigan, Fiona E., additional, van Schoor, Natasja M., additional, Reppe, Sjur, additional, Pawlak, Mikolaj A., additional, Ralston, Stuart H., additional, van der Velde, Nathalie, additional, Lorentzon, Mattias, additional, Stefansson, Kari, additional, Adams, Hieab H. H., additional, Wilson, Scott G., additional, Ikram, M. Arfan, additional, Walsh, John P., additional, Lakka, Timo A., additional, Gautvik, Kaare M., additional, Wilson, James F., additional, Orwoll, Eric S., additional, van Duijn, Cornelia M., additional, Bønnelykke, Klaus, additional, Uitterlinden, Andre G., additional, Styrkársdóttir, Unnur, additional, Akesson, Kristina E., additional, Spector, Timothy D., additional, Tobias, Jonathan H., additional, Ohlsson, Claes, additional, Felix, Janine F., additional, Bisgaard, Hans, additional, Grant, Struan F. A., additional, Richards, J. Brent, additional, Evans, David M., additional, van der Eerden, Bram, additional, van de Peppel, Jeroen, additional, Ackert-Bicknell, Cheryl, additional, Karasik, David, additional, Kague, Erika, additional, and Rivadeneira, Fernando, additional
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- 2023
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33. Genetic basis of falling risk susceptibility in the UK Biobank Study
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Trajanoska, Katerina, Seppala, Lotta J., Medina-Gomez, Carolina, Hsu, Yi-Hsiang, Zhou, Sirui, van Schoor, Natasja M., de Groot, Lisette C. P. G. M., Karasik, David, Richards, J. Brent, Kiel, Douglas P., Uitterlinden, Andre G., Perry, John R. B., van der Velde, Nathalie, Day, Felix R., and Rivadeneira, Fernando
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- 2020
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34. Immune response and endocytosis pathways are associated with the resilience against Alzheimer’s disease
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Tesi, Niccolò, van der Lee, Sven J., Hulsman, Marc, Jansen, Iris E., Stringa, Najada, van Schoor, Natasja M., Scheltens, Philip, van der Flier, Wiesje M., Huisman, Martijn, Reinders, Marcel J. T., and Holstege, Henne
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- 2020
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35. Trends in leefstijl van 55-64 jarigen in de periode 1992 – 2013
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Reinders, Ilse, Van schoor, Natasja M., Deeg, Dorly J.H., Huisman, Martijn, and Visser, Marjolein
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- 2018
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36. Validation of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Geriatric Outpatients
- Author
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van de Loo, Bob (author), Heymans, Martijn W. (author), Medlock, Stephanie (author), Boyé, Nicole D.A. (author), van der Cammen, T.J.M. (author), Hartholt, Klaas A. (author), Emmelot-Vonk, Marielle H. (author), Abu-Hanna, Ameen (author), van Schoor, Natasja M. (author), van de Loo, Bob (author), Heymans, Martijn W. (author), Medlock, Stephanie (author), Boyé, Nicole D.A. (author), van der Cammen, T.J.M. (author), Hartholt, Klaas A. (author), Emmelot-Vonk, Marielle H. (author), Abu-Hanna, Ameen (author), and van Schoor, Natasja M. (author)
- Abstract
Objectives: Before being used in clinical practice, a prediction model should be tested in patients whose data were not used in model development. Previously, we developed the ADFICE_IT models for predicting any fall and recurrent falls, referred as Any_fall and Recur_fall. In this study, we externally validated the models and compared their clinical value to a practical screening strategy where patients are screened for falls history alone. Design: Retrospective, combined analysis of 2 prospective cohorts. Setting and Participants: Data were included of 1125 patients (aged ≥65 years) who visited the geriatrics department or the emergency department. Methods: We evaluated the models' discrimination using the C-statistic. Models were updated using logistic regression if calibration intercept or slope values deviated significantly from their ideal values. Decision curve analysis was applied to compare the models’ clinical value (ie, net benefit) against that of falls history for different decision thresholds. Results: During the 1-year follow-up, 428 participants (42.7%) endured 1 or more falls, and 224 participants (23.1%) endured a recurrent fall (≥2 falls). C-statistic values were 0.66 (95% CI 0.63-0.69) and 0.69 (95% CI 0.65-0.72) for the Any_fall and Recur_fall models, respectively. Any_fall overestimated the fall risk and we therefore updated only its intercept whereas Recur_fall showed good calibration and required no update. Compared with falls history, Any_fall and Recur_fall showed greater net benefit for decision thresholds of 35% to 60% and 15% to 45%, respectively. Conclusions and Implications: The models performed similarly in this data set of geriatric outpatients as in the development sample. This suggests that fall-risk assessment tools that were developed in community-dwelling older adults may perform well in geriatric outpatients. We found that in geriatric outpatients the models have greater clinical value across a wide range of decision thresho, Applied Ergonomics and Design
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- 2023
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- View/download PDF
37. Bone mineral density loci specific to the skull portray potential pleiotropic effects on craniosynostosis
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Medina-Gomez, Carolina, Mullin, Benjamin H., Chesi, Alessandra, Prijatelj, Vid, Kemp, John P., Shochat-Carvalho, Chen, Trajanoska, Katerina, Wang, Carol, Joro, Raimo, Evans, Tavia E., Schraut, Katharina E., Li-Gao, Ruifang, Ahluwalia, Tarunveer S., Zillikens, M. Carola, Zhu, Kun, Mook-Kanamori, Dennis O., Evans, Daniel S., Nethander, Maria, Knol, Maria J., Thorleifsson, Gudmar, Prokic, Ivana, Zemel, Babette, Broer, Linda, McGuigan, Fiona E., van Schoor, Natasja M., Reppe, Sjur, Pawlak, Mikolaj A., Ralston, Stuart H., van der Velde, Nathalie, Lorentzon, Mattias, Stefansson, Kari, Adams, Hieab H.H., Wilson, Scott G., Ikram, M. Arfan, Walsh, John P., Lakka, Timo A., Gautvik, Kaare M., Wilson, James F., Orwoll, Eric S., van Duijn, Cornelia M., Bønnelykke, Klaus, Uitterlinden, Andre G., Styrkársdóttir, Unnur, Akesson, Kristina E., Spector, Timothy D., Tobias, Jonathan H., Ohlsson, Claes, Felix, Janine F., Bisgaard, Hans, Grant, Struan F.A., Richards, J. Brent, Evans, David M., van der Eerden, Bram, van de Peppel, Jeroen, Ackert-Bicknell, Cheryl, Karasik, David, Kague, Erika, Rivadeneira, Fernando, Medina-Gomez, Carolina, Mullin, Benjamin H., Chesi, Alessandra, Prijatelj, Vid, Kemp, John P., Shochat-Carvalho, Chen, Trajanoska, Katerina, Wang, Carol, Joro, Raimo, Evans, Tavia E., Schraut, Katharina E., Li-Gao, Ruifang, Ahluwalia, Tarunveer S., Zillikens, M. Carola, Zhu, Kun, Mook-Kanamori, Dennis O., Evans, Daniel S., Nethander, Maria, Knol, Maria J., Thorleifsson, Gudmar, Prokic, Ivana, Zemel, Babette, Broer, Linda, McGuigan, Fiona E., van Schoor, Natasja M., Reppe, Sjur, Pawlak, Mikolaj A., Ralston, Stuart H., van der Velde, Nathalie, Lorentzon, Mattias, Stefansson, Kari, Adams, Hieab H.H., Wilson, Scott G., Ikram, M. Arfan, Walsh, John P., Lakka, Timo A., Gautvik, Kaare M., Wilson, James F., Orwoll, Eric S., van Duijn, Cornelia M., Bønnelykke, Klaus, Uitterlinden, Andre G., Styrkársdóttir, Unnur, Akesson, Kristina E., Spector, Timothy D., Tobias, Jonathan H., Ohlsson, Claes, Felix, Janine F., Bisgaard, Hans, Grant, Struan F.A., Richards, J. Brent, Evans, David M., van der Eerden, Bram, van de Peppel, Jeroen, Ackert-Bicknell, Cheryl, Karasik, David, Kague, Erika, and Rivadeneira, Fernando
- Abstract
Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance. Association signals cluster within gene-sets involved in skeletal development and osteoporosis. Among the four novel loci (ZIC1, PRKAR1A, AZIN1/ATP6V1C1, GLRX3), there are factors implicated in intramembranous ossification and as we show, inherent to craniosynostosis processes. Functional follow-up in zebrafish confirms the importance of ZIC1 on cranial suture patterning. Likewise, we observe abnormal cranial bone initiation that culminates in ectopic sutures and reduced BMD in mosaic atp6v1c1 knockouts. Mosaic prkar1a knockouts present asymmetric bone growth and, conversely, elevated BMD. In light of this evidence linking SK-BMD loci to craniofacial abnormalities, our study provides new insight into the pathophysiology, diagnosis and treatment of skeletal diseases., Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance. Association signals cluster within gene-sets involved in skeletal development and osteoporosis. Among the four novel loci (ZIC1, PRKAR1A, AZIN1/ATP6V1C1, GLRX3), there are factors implicated in intramembranous ossification and as we show, inherent to craniosynostosis processes. Functional follow-up in zebrafish confirms the importance of ZIC1 on cranial suture patterning. Likewise, we observe abnormal cranial bone initiation that culminates in ectopic sutures and reduced BMD in mosaic atp6v1c1 knockouts. Mosaic prkar1a knockouts present asymmetric bone growth and, conversely, elevated BMD. In light of this evidence linking SK-BMD loci to craniofacial abnormalities, our study provides new insight into the pathophysiology, diagnosis and treatment of skeletal diseases.
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- 2023
38. Validation of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Geriatric Outpatients
- Author
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van de Loo, Bob, Heymans, Martijn W., Medlock, Stephanie, Boyé, Nicole D.A., van der Cammen, Tischa J.M., Hartholt, Klaas A., Emmelot-Vonk, Marielle H., Mattace-Raso, Francesco U.S., Abu-Hanna, Ameen, van der Velde, Nathalie, van Schoor, Natasja M., van de Loo, Bob, Heymans, Martijn W., Medlock, Stephanie, Boyé, Nicole D.A., van der Cammen, Tischa J.M., Hartholt, Klaas A., Emmelot-Vonk, Marielle H., Mattace-Raso, Francesco U.S., Abu-Hanna, Ameen, van der Velde, Nathalie, and van Schoor, Natasja M.
- Abstract
Objectives: Before being used in clinical practice, a prediction model should be tested in patients whose data were not used in model development. Previously, we developed the ADFICE_IT models for predicting any fall and recurrent falls, referred as Any_fall and Recur_fall. In this study, we externally validated the models and compared their clinical value to a practical screening strategy where patients are screened for falls history alone. Design: Retrospective, combined analysis of 2 prospective cohorts. Setting and Participants: Data were included of 1125 patients (aged ≥65 years) who visited the geriatrics department or the emergency department. Methods: We evaluated the models' discrimination using the C-statistic. Models were updated using logistic regression if calibration intercept or slope values deviated significantly from their ideal values. Decision curve analysis was applied to compare the models’ clinical value (ie, net benefit) against that of falls history for different decision thresholds. Results: During the 1-year follow-up, 428 participants (42.7%) endured 1 or more falls, and 224 participants (23.1%) endured a recurrent fall (≥2 falls). C-statistic values were 0.66 (95% CI 0.63-0.69) and 0.69 (95% CI 0.65-0.72) for the Any_fall and Recur_fall models, respectively. Any_fall overestimated the fall risk and we therefore updated only its intercept whereas Recur_fall showed good calibration and required no update. Compared with falls history, Any_fall and Recur_fall showed greater net benefit for decision thresholds of 35% to 60% and 15% to 45%, respectively. Conclusions and Implications: The models performed similarly in this data set of geriatric outpatients as in the development sample. This suggests that fall-risk assessment tools that were developed in community-dwelling older adults may perform well in geriatric outpati
- Published
- 2023
39. Validation of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Geriatric Outpatients
- Author
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MS Geriatrie, Circulatory Health, van de Loo, Bob, Heymans, Martijn W, Medlock, Stephanie, Boyé, Nicole D A, van der Cammen, Tischa J M, Hartholt, Klaas A, Emmelot-Vonk, Marielle H, Mattace-Raso, Francesco U S, Abu-Hanna, Ameen, van der Velde, Nathalie, van Schoor, Natasja M, MS Geriatrie, Circulatory Health, van de Loo, Bob, Heymans, Martijn W, Medlock, Stephanie, Boyé, Nicole D A, van der Cammen, Tischa J M, Hartholt, Klaas A, Emmelot-Vonk, Marielle H, Mattace-Raso, Francesco U S, Abu-Hanna, Ameen, van der Velde, Nathalie, and van Schoor, Natasja M
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- 2023
40. Vitamin D deficiency in Europe: pandemic?
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Cashman, Kevin D, Dowling, Kirsten G, Škrabáková, Zuzana, Gonzalez-Gross, Marcela, Valtueña, Jara, De Henauw, Stefaan, Moreno, Luis, Damsgaard, Camilla T, Michaelsen, Kim F, Mølgaard, Christian, Jorde, Rolf, Grimnes, Guri, Moschonis, George, Mavrogianni, Christina, Manios, Yannis, Thamm, Michael, Mensink, Gert BM, Rabenberg, Martina, Busch, Markus A, Cox, Lorna, Meadows, Sarah, Goldberg, Gail, Prentice, Ann, Dekker, Jacqueline M, Nijpels, Giel, Pilz, Stefan, Swart, Karin M, van Schoor, Natasja M, Lips, Paul, Eiriksdottir, Gudny, Gudnason, Vilmundur, Cotch, Mary Frances, Koskinen, Seppo, Lamberg-Allardt, Christel, Durazo-Arvizu, Ramon A, Sempos, Christopher T, and Kiely, Mairead
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- 2016
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41. Diminishing benefits of urban living for children and adolescents’ growth and development
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NCD Risk Factor Collaboration (NCD-RisC), [missing], Mishra, Anu, Zhou, Bin, Rodriguez-Martinez, Andrea, Bixby, Honor, Singleton, Rosie K., Carrillo-Larco, Rodrigo M., Sheffer, Kate E., Paciorek, Christopher J., Bennett, James E., Lhoste, Victor, Iurilli, Maria L. C., Di Cesare, Mariachiara, Bentham, James, Phelps, Nowell H., Sophiea, Marisa K., Stevens, Gretchen A., Danaei, Goodarz, Cowan, Melanie J., Savin, Stefan, Riley, Leanne M., Gregg, Edward W., Aekplakorn, Wichai, Ahmad, Noor Ani, Baker, Jennifer L., Chirita-Emandi, Adela, Farzadfar, Farshad, Fink, Günther, Heinen, Mirjam, Ikeda, Nayu, Kengne, Andre P., Khang, Young-Ho, Laatikainen, Tiina, Laxmaiah, Avula, Ma, Jun, Monroy-Valle, Michele, Mridha, Malay K., Padez, Cristina P., Reynolds, Andrew, Sorić, Maroje, Starc, Gregor, Wirth, James P., Abarca-Gómez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Abdul Rahim, Hanan F., Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M., Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J., Adu-Afarwuah, Seth, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N., Agdeppa, Imelda A., Aghazadeh-Attari, Javad, Aguenaou, Hassan, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H., Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M., Al-Lahou, Badreya, Al-Raddadi, Rajaa, Al Hourani, Huda M., Al Qaoud, Nawal M., Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A., Alexius, Sylvia, Ali, Mohamed M., Alkandari, Abdullah, Alkerwi, Ala’a, Alkhatib, Buthaina M., Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Etxezarreta, Pilar Amiano, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A., Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aseffa, Nega, Aspelund, Thor, Assah, Felix K., Assembekov, Batyrbek, Assunção, Maria Cecília F., Aung, May Soe, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Jørgensen, Maja Bæksgaard, Baharudin, Azli, Bahijri, Suhad, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R., Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M., Filho, Valter Barbosa, Barceló, Alberto, Baretić, Maja, Barkat, Amina, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio J. D., Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz D., Bata, Iqbal, Batieha, Anwar M., Batista, Aline P., Batista, Rosangela L., Battakova, Zhamilya, Baur, Louise A., Bayauli, Pascal M., Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Rolandi, Gilda Estela Benitez, Bere, Elling, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Carrasola, Ximena Berrios, Bettiol, Heloísa, Beutel, Manfred E., Beybey, Augustin F., Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Lele, Elysée Claude Bika, Bikbov, Mukharram M., Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Anne A., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Björkelund, Cecilia, Bloch, Katia V., Blokstra, Anneke, Magnazu, Moran Blychfeld, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boer, Jolanda M. A., Boggia, Jose G., Bogova, Elena, Boissonnet, Carlos P., Bojesen, Stig E., Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Briceño, Yajaira, Brinduse, Lacramioara, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de León, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Caixeta, Roberta B., Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula C., Cañete, Felicia, Capanzana, Mario V., Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Joana, Casajús, José A., Casanueva, Felipe F., Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes‐Loaiza, Marvin, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai J. M., Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Cross, Amanda J., Crujeiras, Ana B., Cruz, Juan J., Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M., Cui, Liufu, Cureau, Felipe V., Cuschieri, Sarah, Czenczek-Lewandowska, Ewelina, D’Arrigo, Graziella, d’Orsi, Eleonora, Dacica, Liliana, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis, Maria Alice Altenburg, De Backer, Gui, De Bacquer, Dirk, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., DeGennaro, Vincent, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Fernández, Pedro Díaz, Ripollés, María Pilar Díez, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha T. P., Dobson, Annette J., Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P., Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A., Duboz, Priscilla, Duleva, Vesselka L., Dulskiene, Virginija, Dumith, Samuel C., Dushpanova, Anar, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Egbagbe, Eruke E., Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T., Erbel, Raimund, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G., Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhradiyev, Ildar, Fakhretdinova, Albina A., Fall, Caroline H., Faramarzi, Elnaz, Farjam, Mojtaba, Sant’Angelo, Victoria Farrugia, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W., Feigl, Edit, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandes, Romulo A., Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M., Ferreccio, Catterina, Ferreira, Haroldo S., Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M., Francis, Damian K., do Carmo Franco, Maria, Fras, Zlatko, Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujiati, Isti I., Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Cuesta, Manuel Galán, Galbarczyk, Andrzej, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, Mérida, María José García, Solano, Marta García, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M., George, Ronnie, Ghaderi, Ebrahim, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K., Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Gluškova, Natalja, Godara, Ramesh, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goltzman, David, Gómez, Georgina, Gómez, Jesús Humberto Gómez, Gomez, Luis F., Gómez, Santiago F., Gomula, Aleksandra, da Silva, Bruna Gonçalves Cordeiro, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D., Gonzalez-Chica, David A., González-Gil, Esther M., Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P., González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R., Gottrand, Frederic, Graça, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Gregório, Maria João, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guajardo, Viviana, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F., Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc J., Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C., Gupta, Rajeev, Gureje, Oye, González, Enrique Gutiérrez, Gutierrez, Laura, Gutzwiller, Felix, Gwee, Xinyi, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A., Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R., Hamzeh, Behrooz, Hanekom, Willem A., Hange, Dominique, Hanif, Abu A. M., Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Kumar, Rachakulla Hari, Lassen, Tina Harmer, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J., He, Jiang, He, Yuan, He, Yuna, Heidinger-Felső, Regina, Heier, Margit, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, dos Santos Henrique, Rafael, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M., Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Höfelmann, Doroteia A., Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hopman, Wilma M., Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iakupova, Ellina M., Ibarluzea, Jesús M., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Iñiguez, Carmen, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ivanova-Pandourska, Ivaila Y., Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T., Jacobs, Jeremy M., Jadoul, Michel, Jafar, Tazeen, Jallow, Bakary, James, Kenneth, Jamil, Kazi M., Jamrozik, Konrad, Jansson, Anna, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jiang, Chao Qiang, Jimenez, Ramon O., Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J., Jonas, Jost B., Jonnagaddala, Jitendra, Jørgensen, Torben, Joshi, Pradeep, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J., Judge, Debra S., Juolevi, Anne, Jurak, Gregor, Simina, Iulia Jurca, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O., Kafatos, Anthony, Kaj, Mónika, Kajantie, Eero O., Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kampmann, Freja B., Kanala, Kodanda R., Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Kårhus, Line L., Karki, Khem B., Katchunga, Philippe B., Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T., Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Kaze, François F., Ke, Calvin, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse M. S. L., Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J., Kiechl, Stefan, Killewo, Japhet, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M., Kingston, Andrew, Klakk, Heidi, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kovács, Éva, Kovacs, Viktoria Anna, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriaucioniene, Vilma, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F., Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumar, R. Krishna, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Lachat, Carl, Lackner, Karl J., Laid, Youcef, Lall, Lachmie, Lam, Tai Hing, Jimenez, Maritza Landaeta, Landais, Edwige, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Larissa, Simo Pone, Latt, Tint Swe, Laurenzi, Martino, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnès, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lee, Paul H., Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Leskošek, Branimir, Leszczak, Justyna, Leth-Møller, Katja B., Leung, Gabriel M., Levitt, Naomi S., Li, Yanping, Liivak, Merike, Lilly, Christa L., Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Hsien-Ho, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linkohr, Birgit, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Liu, Lijuan, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Abril, Guadalupe Longo, Lopes, Luis, Lopes, Marcus V. V., Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, José Eugenio, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, Łuszczki, Edyta, M’Buyamba-Kabangu, Jean-René, Ma, Guansheng, Ma, Xu, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Madsen, Anja L., Maestre, Gladys E., Maggi, Stefania, Magliano, Dianna J., Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Manix, Masimango Imani, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manyanga, Taru, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Mariño, Joany, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruszczak, Katharina, Marventano, Stefano, Masala, Giovanna, Mascarenhas, Luis P., Masoodi, Shariq R., Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E., Matsudo, Victor, Mavrogianni, Christina, Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNairy, Margaret L., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Melgarejo, Jesus D., Melkumova, Marina, Mello, João, Méndez, Fabián, Mendivil, Carlos O., Menezes, Ana Maria B., Menon, Geetha R., Mensink, Gert B. M., Menzano, Maria Teresa, Meshram, Indrapal I., Meto, Diane T., Mi, Jie, Michaelsen, Kim F., Michels, Nathalie, Mikkel, Kairit, Miłkowska, Karolina, Miller, Jody C., Milushkina, Olga, Minderico, Cláudia S., Mini, G. K., Miquel, Juan Francisco, Miranda, J. Jaime, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Møllehave, Line T., Møller, Niels C., Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K., Montenegro Mendoza, Roger A., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Mopa, Hermine T., Moradpour, Farhad, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morey, Francis, Morgan, Karen, Morin, Suzanne N., Mortensen, Erik Lykke, Moschonis, George, Moslem, Alireza, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Movsesyan, Yeva, Msyamboza, Kelias P., Mu, Thet Thet, Muc, Magdalena, Muca, Florian, Mugoša, Boban, Muiesan, Maria L., Müller-Nurasyid, Martina, Münzel, Thomas, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Milanović, Sanja Musić, Musil, Vera, Musinguzi, Geofrey, Muyer, Muel Telo M. C., Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Najafi, Farid, Nakamura, Harunobu, Nalecz, Hanna, Námešná, Jana, Nang, Ei Ei K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Nardone, Paola, Naseri, Take, Nauck, Matthias, Neal, William A., Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Ng, Tze Pin, Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang Ngoc, Ni, Michael Y., Nicolescu, Rodica, Nie, Peng, Nieto-Martínez, Ramfis E., Nikitin, Yury P., Ning, Guang, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A., Nogueira, Helena, Nordendahl, Maria, Nordestgaard, Børge G., Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nunes, Baltazar, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O’Neill, Terence W., O’Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M., Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Claes, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Omar, Saeed M., Onat, Altan, Ong, Sok King, Onland-Moret, N. Charlotte, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P., Ortiz, Pedro J., Osler, Merete, Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Pagkalos, Ioannis, Pahomova, Elena, de Paiva, Karina Mary, Pająk, Andrzej, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K., Papandreou, Dimitrios, Pareja, Rossina G., Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pascanu, Ionela M., Pasquet, Patrick, Patel, Nikhil D., Pattussi, Marcos, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pednekar, Mangesh S., Pedro, João M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Marco A., Pérez, Cynthia M., Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Kovtun, Olga Petrovna, Pettenuzzo, Emanuela, Peykari, Niloofar, Pfeiffer, Norbert, Phall, Modou Cheyassin, Pham, Son Thai, Pichardo, Rafael N., Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubió, Pedro, Platonova, Alina G., Poh, Bee Koon, Pohlabeln, Hermann, Polka, Nadija S., Pop, Raluca M., Popovic, Stevo R., Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Prista, Antonio, Providencia, Rui, Puder, Jardena J., Pudule, Iveta, Puiu, Maria, Punab, Margus, Qadir, Muhammed S., Qasrawi, Radwan F., Qorbani, Mostafa, Quintana, Hedley K., Quiroga-Padilla, Pedro J., Bao, Tran Quoc, Rach, Stefan, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rajabov, Tamerlan, Rakhmatulloev, Sherali, Rakovac, Ivo, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramadan, Otim P. C., Ramires, Virgílio V., Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Rangelova, Lalka S., Rarra, Vayia, Rascon-Pacheco, Ramon A., Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecová, Valéria, Renner, Jane D. P., Repasy, Judit A., Reuter, Cézane P., Revilla, Luis, Rezaianzadeh, Abbas, Rho, Yeunsook, Ribas-Barba, Lourdes, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rigotti, Attilio, Rinaldo, Natascia, Rinke de Wit, Tobias F., Rito, Ana I., Ritti-Dias, Raphael M., Rivera, Juan A., Roa, Reina G., Robinson, Louise, Robitaille, Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A., Rodríguez, Andrea Y., Roggenbuck, Ulla, Rohloff, Peter, Rohner, Fabian, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L., Rosario, Rafaela V., Rosengren, Annika, Rouse, Ian, Rouzier, Vanessa, Roy, Joel G. R., Ruano, Maira H., Rubinstein, Adolfo, Rühli, Frank J., Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A., Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sacchini, Elena, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Martinez, Eduardo Salazar, Saleva, Calogero, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Rodríguez, Inés Sánchez, Sandjaja, [missing], Sans, Susana, Marina, Loreto Santa, Santacruz, Ethel, Santos, Diana A., Santos, Ina S., Santos, Lèlita C., Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Santos, Tamara R., Saramies, Jouko L., Sardinha, Luis B., Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Carsten O., Schmidt, Ida Maria, Schneider, Andrea, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schulze, Matthias B., Schutte, Aletta E., Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., Sidossis, Labros S., Silitrari, Natalia, Silva, Antonio M., de Moura Silva, Caroline Ramos, Silva, Diego Augusto Santos, Silva, Kelly S., Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A., Sjöberg, Agneta, Sjöström, Michael, Skoblina, Natalia A., Skodje, Gry, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti Y. E., Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild I. A., Sørgjerd, Elin P., Jérome, Charles Sossa, Soto-Rojas, Victoria E., Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R., Spinelli, Angela, Spiroski, Igor, Staessen, Jan A., Stamm, Hanspeter, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sun, Liang, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G., Swinburn, Boyd A., Sy, Rody G., Sylva, René Charles, Szklo, Moyses, Szponar, Lucjan, Tabone, Lorraine, Tai, E. Shyong, Tambalis, Konstantinos D., Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B., Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Tichá, Ľubica, Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S., Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tsao, Yu-Hsiang, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora A. M., Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu M. T., Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M., van Valkengoed, Irene G. M., Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K., Vasques, Daniel G., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, W. M. Monique, Victora, Cesar G., Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N., Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja G. M., Wade, Alisha N., Waldhör, Thomas, Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D., Whincup, Peter H., Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S., Więcek, Andrzej, Wild, Philipp S., Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojciech, Rusek, Wojtyniak, Bogdan, Wolf, Kathrin, Wong-McClure, Roy A., Wong, Andrew, Wong, Emily B., Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, García, Martha Yépez, Yiallouros, Panayiotis K., Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O., Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A., Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V., Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Cisneros, Julio Zuñiga, Zuziak, Monika, Bhutta, Zulfiqar A., Black, Robert E., and Ezzati, Majid
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Developing world ,Public health ,Multidisciplinary ,Science General ,Paediatric research ,Nutrition - Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was
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- 2023
42. Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
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Jonkman, Nini H., Colpo, Marco, Klenk, Jochen, Todd, Chris, Hoekstra, Trynke, Del Panta, Vieri, Rapp, Kilian, van Schoor, Natasja M., Bandinelli, Stefania, Heymans, Martijn W., Mauger, Dominique, Cattelani, Luca, Denkinger, Michael D., Rothenbacher, Dietrich, Helbostad, Jorunn L., Vereijken, Beatrix, Maier, Andrea B., and Pijnappels, Mirjam
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- 2019
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43. Minimal clinically important decline in physical function over one year: EPOSA study
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Siviero, Paola, Limongi, Federica, Gesmundo, Antonella, Zambon, Sabina, Cooper, Cyrus, Dennison, Elaine M., Edwards, Mark H., Timmermans, Erik J., van der Pas, Suzan, Schaap, Laura A., van Schoor, Natasja M., Denkinger, Michael D., Herbolsheimer, Florian, Peter, Richard, Castell, Maria Victoria, Otero, Ángel, Queipo, Rocio, Pedersen, Nancy L., Deeg, Dorly J. H., Maggi, Stefania, and for the EPOSA Research Group
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- 2019
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44. Joint sequencing of human and pathogen genomes reveals the genetics of pneumococcal meningitis
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Lees, John A., Ferwerda, Bart, Kremer, Philip H. C., Wheeler, Nicole E., Serón, Mercedes Valls, Croucher, Nicholas J., Gladstone, Rebecca A., Bootsma, Hester J., Rots, Nynke Y., Wijmega-Monsuur, Alienke J., Sanders, Elisabeth A. M., Trzciński, Krzysztof, Wyllie, Anne L., Zwinderman, Aeilko H., van den Berg, Leonard H., van Rheenen, Wouter, Veldink, Jan H., Harboe, Zitta B., Lundbo, Lene F., de Groot, Lisette C. P. G. M., van Schoor, Natasja M., van der Velde, Nathalie, Ängquist, Lars H., Sørensen, Thorkild I. A., Nohr, Ellen A., Mentzer, Alexander J., Mills, Tara C., Knight, Julian C., du Plessis, Mignon, Nzenze, Susan, Weiser, Jeffrey N., Parkhill, Julian, Madhi, Shabir, Benfield, Thomas, von Gottberg, Anne, van der Ende, Arie, Brouwer, Matthijs C., Barrett, Jeffrey C., Bentley, Stephen D., and van de Beek, Diederik
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- 2019
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45. Relative importance of four functional measures as predictors of 15-year mortality in the older Dutch population
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Eekhoff, Elisabeth M. W., van Schoor, Natasja M., Biedermann, Joseph S., Oosterwerff, Mirjam M., de Jongh, Renate, Bravenboer, Nathalie, van Poppel, Mireille N. M., and Deeg, Dorly J. H.
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- 2019
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46. Effects of a clinical decision support system and patient portal for preventing medication-related falls in older fallers: Protocol of a cluster randomized controlled trial with embedded process and economic evaluations (ADFICE_IT).
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de Wildt, Kelly K., van de Loo, Bob, Linn, Annemiek J., Medlock, Stephanie K., Groos, Sara S., Ploegmakers, Kim J., Seppala, Lotta J., Bosmans, Judith E., Abu-Hanna, Ameen, van Weert, Julia C. M., van Schoor, Natasja M., and van der Velde, Nathalie
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CLINICAL decision support systems ,PATIENT portals ,CLUSTER randomized controlled trials ,MEDICAL informatics ,MULTILEVEL models - Abstract
Background: Falls are the leading cause of injury-related mortality and hospitalization among adults aged ≥ 65 years. An important modifiable fall-risk factor is use of fall-risk increasing drugs (FRIDs). However, deprescribing is not always attempted or performed successfully. The ADFICE_IT trial evaluates the combined use of a clinical decision support system (CDSS) and a patient portal for optimizing the deprescribing of FRIDs in older fallers. The intervention aims to optimize and enhance shared decision making (SDM) and consequently prevent injurious falls and reduce healthcare-related costs. Methods: A multicenter, cluster-randomized controlled trial with process evaluation will be conducted among hospitals in the Netherlands. We aim to include 856 individuals aged ≥ 65 years that visit the falls clinic due to a fall. The intervention comprises the combined use of a CDSS and a patient portal. The CDSS provides guideline-based advice with regard to deprescribing and an individual fall-risk estimation, as calculated by an embedded prediction model. The patient portal provides educational information and a summary of the patient's consultation. Hospitals in the control arm will provide care-as-usual. Fall-calendars will be used for measuring the time to first injurious fall (primary outcome) and secondary fall outcomes during one year. Other measurements will be conducted at baseline, 3, 6, and 12 months and include quality of life, cost-effectiveness, feasibility, and shared decision-making measures. Data will be analyzed according to the intention-to-treat principle. Difference in time to injurious fall between the intervention and control group will be analyzed using multilevel Cox regression. Discussion: The findings of this study will add valuable insights about how digital health informatics tools that target physicians and older adults can optimize deprescribing and support SDM. We expect the CDSS and patient portal to aid in deprescribing of FRIDs, resulting in a reduction in falls and related injuries. Trial registration: ClinicalTrials.gov NCT05449470 (7-7-2022). [ABSTRACT FROM AUTHOR]
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- 2023
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47. Effect of daily vitamin B-12 and folic acid supplementation on fracture incidence in elderly individuals with an elevated plasma homocysteine concentration: B-PROOF, a randomized controlled trial
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van Wijngaarden, Janneke P, Swart, Karin MA, Enneman, Anke W, Dhonukshe-Rutten, Rosalie AM, van Dijk, Suzanne C, Ham, Annelies C, Brouwer-Brolsma, Elske M, van der Zwaluw, Nikita L, Sohl, Evelien, van Meurs, Joyce BJ, Zillikens, M Carola, van Schoor, Natasja M, van der Velde, Nathalie, Brug, Johannes, Uitterlinden, André G, Lips, Paul, and de Groot, Lisette CPGM
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- 2014
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48. Comparing cardiovascular disease incidence and prevalence between depressed and non-depressed older persons over time
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van Zutphen, Elisabeth M., Kok, Almar A. L., Rhebergen, Didericke, van Schoor, Natasja M., Huisman, Martijn, Beekman, Aartjan T. F., Epidemiology and Data Science, Psychiatry, APH - Mental Health, APH - Aging & Later Life, APH - Personalized Medicine, APH - Societal Participation & Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Sociology, The Social Context of Aging (SoCA), and APH - Quality of Care
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Aged, 80 and over ,Cohort Studies ,Psychiatry and Mental health ,Clinical Psychology ,Aging ,SDG 3 - Good Health and Well-being ,Cardiovascular Diseases ,Risk Factors ,Incidence ,Prevalence ,Humans ,Aged - Abstract
© 2022 The AuthorsObjective: Previous studies suggest that prevention of cardiovascular disease (CVD) is more difficult in depressed persons. Although the prevalence and incidence of CVD decreased over the past decades, it is uncertain whether this is also true for depressed persons. This study examined whether changes in the prevalence and incidence of CVD differ between depressed and non-depressed older persons. Methods: Longitudinal data from three community-based representative birth cohorts aged 55–65 years of the Longitudinal Aging Study Amsterdam were used; N = 1070 born in 1926–1937, N = 995 born in 1938–1947, N = 1019 born in 1948–1957. The outcome included fatal and non-fatal CVD. Depression was defined as ≥16 points on the Center for Epidemiological Studies Depression Scale or a general practitioner's diagnosis of depression. Data were analysed with for age and sex adjusted logistic regression and cox regression models. Results: Comparing cohort 2 and 3 with cohort 1 in the complete sample, the prevalence of CVD decreased by 2% (OR = 0.98, 95%CI = 0.76–1.26) and 32% (OR = 0.68, 95%CI = 0.52–0.89), respectively, and the three-year incidence of CVD decreased by 6% (OR = 0.94, 95%CI = 0.63–1.41) and 26% (OR = 0.74, 95%CI = 0.48–1.15), respectively. The 13-year incidence of CVD decreased by 19% (HR = 0.81, 95%CI = 0.67–0.99) in cohort 2 compared to cohort 1. These decreases did not differ statistically significantly between depressed and non-depressed respondents (p-values of interaction terms: 0.35–0.98). Conclusion: Substantial decreases in the prevalence and incidence of CVD were observed in depressed and non-depressed older persons. Although this is encouraging, cardiovascular risk remained higher in depressed persons over time, warranting tailored prevention programs for depressed older persons.
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- 2022
49. Longitudinal Aging Study Amsterdam COVID-19 exposure index: a cross-sectional analysis of the impact of the pandemic on daily functioning of older adults
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Hoogendijk, Emiel O, primary, Schuster, Noah A, additional, van Tilburg, Theo G, additional, Schaap, Laura A, additional, Suanet, Bianca, additional, De Breij, Sascha, additional, Kok, Almar AL, additional, Van Schoor, Natasja M, additional, Timmermans, Erik J, additional, de Jongh, Renate T, additional, Visser, Marjolein, additional, and Huisman, Martijn, additional
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- 2022
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50. Effect of moderate-dose vitamin D supplementation on insulin sensitivity in vitamin D–deficient non-Western immigrants in the Netherlands: a randomized placebo-controlled trial
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Oosterwerff, Mirjam M, Eekhoff, Elisabeth MW, Van Schoor, Natasja M, Boeke, A Joan P, Nanayakkara, Prabath, Meijnen, Rosa, Knol, Dirk L, Kramer, Mark HH, and Lips, Paul
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- 2014
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